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Pediatric implications of normal insulin-GH-IGF-axis physiology

ABSTRACT

 

Understanding the involvement of the insulin-GH-IGF-axis in the different phases of human growth, development, and metabolism is the key to understanding human pathophysiology. The normal physiological actions of the axis optimize human growth and metabolism to impact adult height by approximately one third. IGF binding proteins modulate access of circulating IGF-I to the tissues and modulate IGF-I and -II access to the type 1 IGF receptor (IGF1R) at the cellular level. Complete lack of IGF1R signaling is most likely not compatible with a viable human fetus, while allelic haploinsufficiency impairs brain development and causes severe short stature. Lack of insulin receptor signaling in Leprechaunism may result in the rare event of an alive but severely small for gestational age baby that will only survive if treated with recombinant-IGF-1 to substitute inulin receptor signaling with IGF1R signaling via their common intracellular pathways. IGF-I gene defects result in mental retardation and severe fetal and postnatal growth failure with GH hypersecretion and marked insulin resistance. Likewise, IGF2 gene defects or imprinting defects cause severe fetal growth failure but somewhat less adverse effects on postnatal growth, more variable effects on brain development, and an absence of marked metabolic effects. GH fine-tunes insulin and IGF-I signaling with no impact on IGF-II expression and has a minor impact on fetal development and growth. GH effects on lipolysis are established in the newborn and ensure gluconeogenesis and prevents hypoglycemia after birth. The complete absence of GH expression such as in GHRHR or GH1 gene defects or absence of GH signaling in GHR or STAT5B gene defect leads to an adult height of 120-130cm if untreated, and has severe metabolic consequences. Even excess of insulin, GH, IGF-I and IGF-II signaling are associated with severe metabolic disease and excess growth and/or obesity. Malnutrition or malabsorption causes decreased insulin signaling which reduces GHR expression and blocks the GH signaling pathway leading to IGF-I expression (GHR uncoupling), while GH’s metabolic actions on lipolysis and gluconeogenesis are unaffected. GH signaling attenuate insulin actions on glucose metabolism which causes insulin resistance and hyperinsulinemia or may precipitate diabetes. However, insulin signaling pathways that enhances GHR function or suppress IGFBP-1 or SHBG production are still intact and promote anabolism, optimize growth, enhance androgen actions and play a mechanistic role in premature adrenarche and PCOS. Long-term nutritional deprivation compromises growth, while from a developmental perspective, decreased insulin signaling (leading to GHR uncoupling) prolongs life (at least in some experimental animal models) which ensures that fertile age is reached, and survival of the species is ensured. For the health of the general population, the subtle changes in insulin, GH and IGF-I signaling associated with gene polymorphisms or epigenetic changes programmed during fetal and early postnatal life and affecting gene expression are important. They determine growth and pubertal development in childhood and predispose the individual for developing the metabolic diseases and malignancies in adult life, as predicted by the Barker hypothesis. As the roles of the insulin-GH-IGF-axis in growth and metabolism, often discussed separately, are intimately linked they will be described jointly here.

 

EARLY WORK DEFINING THE INSULIN-GH-IGF-AXIS

 

Daughaday realized that the mitogenic effect of GH in the growth plate was not direct but mediated by Insulin-like Growth Factor-I (IGF-I), at that time named sulphation factor or somatomedin C (1). Another effect of IGF-I was insulin-like and not inhibited by insulin specific antibodies (2,3,4) and therefore it was named non-suppressible Insulin-like activity (NSILA). Hall and Van Wyk purified IGF-I from human muscle extracts (5,6) and realized that these biological activities originated from the same molecule. They also identified significant quantities in blood (7). The primary structure of IGF-I and Insulin-like Growth Factor-II (IGF-II) was discovered by Froesch and coworkers as a result of their persistent work to characterize the metabolic activity of NSILA (8,9). Soon after, the mitogenic activity of the sulphation factor or somatomedin C as well as somatomedin A was shown to be identical to IGF-I (10). Rechler and Nissley demonstrated that IGF-II was identical to multiplication stimulating activity, a factor known to stimulate DNA synthesis in chick embryo fibroblasts (11).

 

The concept that binding proteins existed for peptide hormones like the IGFs, similar to those for steroid and thyroid hormones, were suggested by studies from Zapf and Froesch (12) and by Hintz (13), demonstrating that NSILA was present in high molecular weight complexes in serum. The binding was exclusive to IGFs and did not apply to insulin or proinsulin despite their structural similarities. High molecular weight IGF-I complexes with IGFBPs were GH dependent (14) and formed a ternary complex composed of IGFBP-3 (15), the Acid Labile Subunit (ALS) (16) and IGF-I or IGF-II. Low molecular weight complexes contained IGF-I or IGF-II bound to an insulin regulated liver derived protein IGFBP-1 (17, 18), at first called the 28 kDa binding protein or PP12 (19). The existence of other IGF binding proteins, six in total, became clear when Hossenloop (20) developed Western ligand blotting as a technique to quantify these proteins. The components of the IGF-IGFBP-system are outlined in Figure 1.

 

Figure 1. The primary structures of IGF-I, IGF-II and insulin are similar. IGFs are produced by many differentiated cell types, and their bioactivity in the extracellular fluids or in the circulation are coordinated by six IGF binding proteins (IGFBP-1 through -6). IGFBP-3, the major binding protein in serum is stimulated by GH and it forms a large 150 kDa ternary complex with IGF-I or -II and the GH regulated acid labile subunit (ALS). IGFBP-5, an important supporter of bone tissue formation, also forms ternary complexes with IGF-I or -II and ALS. IGFBP-1, suppressed by insulin, is one of several binding proteins in the smaller 50 kDa binary complexes with IGF-I or –II. IGFBP-2 has inverse association with insulin under many physiological conditions. In contrast, IGFBP-4, -5 and -6 do not appear to be directly regulated by GH or insulin and are important local regulators of IGF activity in bone and the CNS. The type 1 IGF receptor (IGF1R) is the mediator of the mitogenic, anti-apoptotic, differentiating and metabolic effects of both IGF-I and -II. The structural similarity of the IGF1R with the insulin receptor (IR) explains the formation of hybrid receptors in cells that expresses both receptors such as myocytes and pre-adipocytes. Cross reactivity among the ligands and the receptors have been demonstrated, although it has minor importance under physiological conditions but may cause non-islet-cell tumor hypoglycemia due to unprocessed pro-IGFs with markedly decreased binding affinity to IGFBPs. A second receptor, exclusively binding IGF-II, work as a scavenger receptor and is identical to the mannose-6-phosphate receptor, known to direct proteins for degradation in the lysosomes. A second level of control of IGF bioactivity is exerted by IGFBP proteases which release IGF-I activity after fragmentation of IGFBPs. Specific production and regulation of IGFBP proteases at the tissue level controls processes such as ovulation and atherosclerosis. Furthermore, interaction of IGFBPs and IGFBP proteases with the extracellular matrix modify the binding affinity for the IGFs and are involved in prolonging the actions of IGFs at the tissue level. Extracellular matrix also signals though integrin receptors on the cell surface and modifies IGF-1R signaling. This figure also shows the existence of IGFBP-related proteins with markedly lower affinity for the IGFs and with physiological roles not related to their IGF binding.

 

ANIMAL EXPERIMENTS ESSENTIAL FOR THE UNDERSTANDING OF HUMAN INSULIN-GH-IGF AXIS PHYSIOLOGY

 

Insulin, IGF-I, and IGF-II and Their Receptors

 

Efstratiadis’ series of knock-outs of the insulin-GH-IGF-axis in mice in the early 1990s clearly confirmed its importance in fetal and postnatal growth and metabolism (21). It also predicted the phenotype of experiment of nature in humans with gene defects in the axis yet to be discovered. The studies opened new insights, not least the equal importance of IGF-I and IGF-II in fetal growth, reducing birth weight by about 60 % in both Igf1 knock-out (Igf1ko) and Igf2ko animals and demonstrating that the previous perceived concept that there was a fetal (IGF-II) and a postnatal (IGF-I) form of IGF was incorrect. IGF-I and -II had actions through the type 1 IGF receptor (IGF1R) demonstrated by Igf1rko animals with 45% of wild type birth weight and no further effect when crossed with Igf1ko animals. While Igf1ko animals were viable depending on genetic background and were non-fertile, the Igf1rko animals died from respiratory failure but with an absence of apparent malformations. Interestingly, crossing Igf2ko with Igf1rko resulted in further growth retardation indicating that IGF-II had actions through an additional receptor. Another new insight came from knock-out of the ‘mysterious type 2 IGF receptor’, identical to the mannose-6 phosphate receptor (M6P-R), specifically binding IGF-II and involved in internalization of proteins for lysosomal degradation. Knock-out of the Igf2r/M6pr resulted in increased serum and tissue levels of IGF-II and fetal overgrowth (140% of wild-type birth weight) (22). This receptor works to clear IGF-II and its presence in endothelial cells may, at least partly, explain the lack of endocrine actions of IGF-II due to its proteolytic lysosomal degradation (23). Thus, IGF-II effects on fetal growth are paracrine/autocrine actions mediated by the IGF1R. Knock-out of the Igf2r/M6pr gene combined with Igf2ko/Igf1rko could partly rescue growth retardation, a finding that was explained by IGF-II actions via the insulin receptor (INSR). The formation of heterodimers, more commonly named hybrid receptors, between type A or B isoforms of the insulin receptors (INSRA or INSRB) and the IGF1R of which IRA-IGF1R are highly expressed in the fetus (and in malignant cells) and activated by IGF-II, may further point to the importance of IGF-II during the fetal period. INSRB-IGF1R hybrids comprises up to 30 % of INSR and IGF-I receptors in muscle due to high expression of both and this hybrid predominantly responds to IGF-I (less to insulin) and explains the important role of IGF-I in growth and metabolism in skeletal muscle.

 

Postnatally, the Igf1ko mice continued to grow poorly, resulting in an adult weight 30% of wild-type and with poor gonadal function and delayed bone development. Knock-out of GH or its receptor (GHR), both expressed in the mouse fetus, did not affect birth size, indicating that the Igf1 gene is not under GH control during the fetal period. The actions of GH and its receptor on growth in mice were obvious from postnatal day 15 and largely slowed growth resulting in a 50 % reduction of wild-type adult weight. On the other hand, double Ghrko/Igf1ko resulted in further postnatal growth retardation relative to Igf1ko mice completely obstructing further weight gain after postnatal day 15 and supporting previous studies suggesting that progenitor cells in the growth plate require direct GH actions (24).

 

IGFBPs and IGFBP Proteases  

 

Like the above attempts to pinpoint the role of important ligands and receptors in the axis, steps to assess the role of IGF binding proteins involved in modulating IGF-I and IGF-II bioactivity were taken (reviewed by Pintar (25)). In contrast to the pronounced phenotypes caused by mutations in receptors and their ligands, the growth phenotypes of the various IGFBP knock-out animals were far less pronounced as were the metabolic changes observed (26,27,28). It was argued that there is a large degree of redundancy among the functions of the IGFBPs which to some extend contradicts their specialized functions in various tissues (29). However, this idea was to some extent supported by the finding of somewhat more pronounced phenotypes in double and triple knock-out animals (30). This is largely in accordance with the absence of reports of IGFBP gene defects causing growth retardation in humans. The most affected phenotype identified was that of Igfbp4ko mice who were growth retarded at birth and displayed poor postnatal growth (30). No such mutation has been identified in humans. IGFBP-4 is specifically degraded by the metalloproteinase PAPP-A (Pregnancy Associated Plasma Protease -A) produced by the placenta as well as bone and ovary. In Pappa knock-out animals a 20-30% reduction in body weight was reported (31). Interestingly, the growth restriction phenotype of mice null for Pappacould be rescued by disruption of IGF-II imprinting during embryonic development (32).

 

Endocrine Versus Paracrine Autocrine IGF-I

 

One of the controversies of the area has been the relative contribution to linear growth of circulating endocrine IGF-I largely produced by the liver versus peripherally produced IGF-I with major paracrine/autocrine actions on local tissues. The major importance of paracrine/autocrine IGF-I was demonstrated by liver specific Igf1ko mice (Ligf1ko) with largely unaffected longitudinal growth (33). Circulating levels were 20% of wild-type with compensatory elevation of GH, insulin resistance and hyperinsulinemia. With age the animals developed type 2 diabetes, underlining the metabolic consequences of largely elevated GH combined with circulating IGF-I deficiency (34). Somewhat unexpectedly, this animal model closely resembles children and adolescents with type 1 diabetes, as further elaborated on below.

 

Another model to assess the relative importance of endocrine versus paracrine/autocrine IGF-I is the liver-specific Ghrko mouse. It produces a similar phenotype but with more specific hepatic consequences of absent GH signaling (35).

 

INSULIN-GH-IGF AXIS PHYSIOLOGY, A PEDIATRIC PERSPECTIVE

 

Insulin-GH-IGF-Axis and Human Fetal Growth

 

IGF-I controls the pace of the cell cycle from early on in human embryogenesis. INSR and IGF1R is expressed in human pre-implantation blastocysts already from the 8-cell stage, while IGF-II is expressed already in the oocyte (36). After implantation, IGF-I is produced in the human embryo (37), but until then the source of IGF-I is thought to be the female reproductive tract, and it is known that the availability of the IGF-I ligand is important for blastocyst growth in human in vitro fertilization - IVF (38). IGF-I production is controlled by nutritional factors in the early embryo and even later during human fetal development (39). Circulating endocrine IGF-I increases with gestational age (40) and is strongly correlated with fetal growth in the second part of gestation (41,42). However, little has been reported concerning the regulatory control of the IGF1 gene in the human fetus. IGFBPs can be identified in the human fetal circulation (40), and recently the role of IGFBP-5 in regulating fetal growth was suggested by fetal growth retardation in the absence of a specific IGFBP-5 protease, PPAP-A2 (43). Insulin continues to be permissive for IGF-I production even after GH is established as the major pituitary stimuli controlling endocrine as well as paracrine/autocrine IGF-I, as described below.

 

Fetal Growth Restriction and Programming of the Insulin-GH-IGF-Axis Setpoint

 

Insulin resistance has been developmentally advantageous for mankind until very recent decades of excess food and sedentary life style. It was proposed by Barker et al (44) in his ‘fetal and infant origin of adult disease’ hypothesis that intrauterine restriction of growth compensated by excessive postnatal catch-up growth results in an increased risk of developing disease entities of the metabolic syndrome later in life. In his early epidemiological studies, he demonstrated that there is a U-shaped relationship between birth weight and risk of obesity, insulin resistance, type 1 diabetes, hypertension, dyslipidemia and ischemic heart disease, with lower birth weight (within the normal range) imposing a risk. Notably, at higher birth weights this risk rises again which may represent genetic risks of obesity and type 2 diabetes. The concept was that poor fetal nutrition would lower fetal IGF-I and program the child to a low IGF-I setpoint and slower postnatal growth, an epigenetic phenomenon that could be preserved over a few generations (45). At the same time, small for gestational age (SGA) babies becomes insulin resistant (46) and this trait is enforced by a low endocrine IGF-I setpoint (47), creating the best physiological circumstances for the storage of fat during short times of food availability in a world with limited access to food. However, in a world of plenty, this advantage would turn into a disadvantage and give fast increases in body weight, hyperinsulinemia, and the development of metabolic syndrome problems early on (reviewed by Dunger et al (48). New information even suggests that the parental nutritional state can impose epigenetic metabolic changes in the fetus (49).

 

Figure 2. In the fetus (insert) IGF-I increases with gestational age toward birth. Endocrine circulating IGF-I is strongly nutritionally dependent and correlated with birth size. Pituitary GH control of IGF-I production is not fully established during the first year of human life. The ability of serum IGF-I levels to increase during childhood is dependent on the shift from binary complexes of IGF-I with short half-life to a complete dominance of IGF-I bound in a stable ternary complex with the GH dependent proteins IGFBP-3 and ALS. Both these proteins increase, when pituitary GH control of the axis is established. During pubertal development, sex steroids change the set-point of negative IGF-I feedback and allow a peak of IGF-I in mid-puberty. Total IGF-I levels decline to low levels in senescence. Serum IGF-I reference values based on Juul (50).

 

Postnatal Establishment of Pituitary GH Control of IGF-I Production

 

In humans, full GH control of the IGFI gene, as well as the IGFBP3 and Acid Labile Subunit (ALS) genes, is developmentally regulated and established not until the first year of life. IGF-I and IGFBP-3 levels increase slowly from birth until a more rapid increase and peak during puberty, which is followed by a decline toward low levels in senescence (50, 51) (Figure 2). The late establishment of pituitary GH control of the axis is strongly supported by animal data from GHR KO mice reviewed above, and by a new model of Laron syndrome (GHR defect) in pigs (52). In accordance, newborns with mutations in the GH Releasing Hormone Receptor (GHRHR) gene resulting in an isolated GH deficiency (GHD) phenotype was associated with normal birth weight in one cohort (53) and slightly subnormal birth weight in another (54). In a subgroup of 12 children with congenital isolated GHD, birth weight (1·1 ± 0·8 SD) and length (0·5 ± 1·3 SD) was not affected (Mehta A). GH1 mutations appear to be slightly more affected with mean birth weights of −1.0 ± 0.9 (54). Studies of common polymorphisms in GH1 demonstrate dose effects of 150 and 100 grams in term newborns of normal and low birth weight, respectively (55).  Somewhat contradictory to the observations in animals, Savage et al (56) reported 27 prepubertal children with severe GH insensitivity syndrome (GHIS or Severe Primary IGF Deficiency (SPIGFD)) to have a median (range) birth weight SDS of -0.72 (1.75 - (-3.29)) and birth length SDS of -1.59 (0.63 - (-3.63)). SPIGFD in these patients were defined by phenotypic and biochemical characteristics and they were treated with recombinant human (rh)IGF-1 in one of the clinical trials leading to approval of this therapy, as described later. There was no complete genetic characterization of these patients and 7 patients had a normal serum GH Binding Protein (GHBP) suggesting that the extracellular part of GHR was not affected. In a monograph, Professor Zvi Laron (57), who gave his name to this syndrome, reported that birth weight is unaffected while birth length is slightly on the shorter side. In summary, human fetal growth is only marginally affected by GH. GH is detectable and the GHR is expressed in the human fetus and the metabolic effects of GH on lipolysis are essential to maintain normal levels of glucose in the newborn.

 

Given this critical role of GH in adjusting metabolism to the fasting condition, it is plausible that the metabolic effects of GH are required for optimal linear growth of the human fetus and that this explains marginal effects on linear growth of the human fetus. However, strict GH control of IGF-I in the human fetus would predict severe growth retardation of the above-mentioned genetic defects comparable with the birth size observed in defects in the IGF-I gene. And that is not observed: Children with IGF1 defects suffer from far more severe fetal growth retardation with birth weight SDS around -4 and birth length SDS of -5 to -6 (reviewed in (58). In the study by Mehta et al (Mehta A), children with congenital isolated GH deficiency demonstrated growth retardation as already at 6 months of age (−2·6 ± 1·0 SD and −2·2 ± 1·3 SD in weight and length, respectively) prior to starting treatment. This suggests that the developmental GH control of IGF-I production is established early after birth. It is in accordance with data from Jensen RB and Juul A et al (Jensen RB) suggesting that low IGF-I is a marker of GH deficiency early in life. Children with combined pituitary hormone deficiencies were even more growth retarded at 6 months (Metha A).

 

GHR Signaling Pathway to IGF1 Gene Transcription

 

The important cell signaling steps associated with GH stimulated IGF1 gene activation, transcription and IGF-I production are detailed in the Endotext chapter ‘Normal Physiology of Growth Hormone in Adults´. Briefly, GH binding to preformed dimeric GHR - JAK2 complexes introduces structural changes in the receptor complex that separates JAK2 inhibitory and kinase active sites and enables trans-phosphorylation of the two JAK2 molecules (reviewed in (59). The GHR belongs to the class 1 cytokine receptors which uses STAT as one of its principal secondary messengers, and the subsequent phosphorylation of two STAT5b molecules results in a phospo-STAT5b homodimer which translocate to the cell nucleus, binds to STAT5b recognition sites on the IGF1 gene promoter, and initiates transcription (Figure 3).

 

Primary and Secondary IGF-I Deficiency

 

IGF-I deficiency may be the result of low or inadequate production of GH. This condition is known as GH deficiency (GHD) but in analogy with other pituitary deficiencies leading to peripheral hormone deficiencies the term secondary IGF-I deficiency was proposed (Rosenfeld et al). GHD is severe in GH1 or GHRH-R gene defects and in some children with congenital GHD as well as after treatment of brain tumors with radiation therapy. However, these conditions are rare and most children treated with rhGH has less severe GHD or an indication not associated with GHD. Disorders of GH in childhood is outlined in the Endotext chapter Disorders of Growth Hormone in Childhood by Murray and Clayton (132)

 

Primary IGF-I deficiency or GH insensitivity is severe in homozygous genetic defects in genes including the GH receptor (Laron syndrome) gene, STAT-5b gene and IGF-I gene. Less severe growth retardation is reported in children with homozygous genetic defects in the ALS gene. Treatment with rhGH do not improve growth in these cases while rhIGF-1 is efficient in SPIGFD and approved by FDA and EMA. In many patients with severe primary IGF-I deficiency (SPIGFD) defined by low IGF-I (less than – 3 SDS or the 2.5th percentile), severe short stature (Height SDS less than – 3), normal GH secretion and absence of acquired insensitivity to GH (discussed below) genetic defects may be absent. Still treatment with rhIGF-1 may be as efficient as in patients with confirmed homozygous GHR defects (131).

 

Insulin Enhancement of GHR Signaling to IGF1 Gene Transcription

 

Insulin signaling enhances the GH signaling pathway to enable IGF-I production in the fed state and promotes linear growth and other anabolic responses (60, 61, 62). Moreover, GH signaling to elicit IGF1 gene transcription is blocked in the absence of appropriate insulin signaling, a phenomenon also known as un-coupling, and resulting in growth arrest (60, 61, 63, 64) (Figure 3). This is partly a result of insulin’s effects on hepatic GHR expression, and partly a post-receptor signaling effect as unraveled by extensive animal studies (reviewed in (60). In obese individuals with hyperinsulinemia, hepatic GHR expression is enhanced as indicated by elevated GHBP levels reflecting proteolytic cleavage of highly expressed surface GHR and release of the extracellular part to the circulation (65). This allows obese individuals to maintain normal serum IGF-I levels despite markedly diminished GH secretion (66, 67). Consequently, obese individuals have attenuated GH responses to GH secretagogues (68).

 

Figure 3. Multiple, partly identical, pathways have been described to be activated by the GHR, the INSR and many other hormone kinase receptors not shown on the slide. Limiting this cartoon to the GHR and INSR, still the complexity is very high and the potential candidate hubs for crosstalk are numerous. The crosstalk that, following activation of the GHR, leads to resistance to specific signaling events from the INSR (related to glucose metabolism) is more well established and describe in detail in the Endotext chapter ‘Normal Physiology of Growth Hormone in Adults´. In the current review the focus is on the crosstalk that is executed by activation of the INSR and results in enhanced signaling from the GHR leading to gene activation of IGF1 and other GH dependent genes such as IGFBP3 and ALS. There are basically no studies addressing this crosstalk on the cellular level despite the strong evidence for INSR signaling being permissive for IGF1 transcription. Given that mTORC1 and mTORC2, downstream the INSR, are essential hubs for substrate and energy sensing and thus controlling the switch between cell anabolism and catabolism, they appear to be strong candidates to determine whether IGF1 should be on or off. A further argument for their candidate role is the so far limited evidence of mTORC1 and mTORC2 involvement in branched chain amino acid sensing directly enhancing IGF1 transcription. The unique role of the Jak2, STAT5b pathway in connecting the GHR with IGF1 gene activation has not been challenged and is thus the major candidate pathway to be affected by INSR signaling crosstalk. It is less clear which of the signaling pathways from the GHR that results in enhanced lipolysis although the STAT5b pathways has been implicated. This is particularly interesting given that GHR induced lipolysis does not require INSR signaling crosstalk. The reader is encouraged to seek specific information regarding other GHR and INSR pathways depicted in the cartoon but not further discussed in this review.

 

While short-term fasting decreases serum IGF-I but does not affect GHBP (69), the triad of IGF-I deficiency, poor growth and pubertal delay/arrest in long term nutritional deficiency such as in anorexia nervosa is associated with low GHBP that is partly restored with weight gain (63). Also, circulating IGF-I deficiency due to hepatic under-insulinization in type 1 diabetes is associated with low GHBP levels. Normal circulating IGF-I and GHBP are fully restored only after experimental intra-peritoneal (70) or intraportal (71) insulin delivery.

 

Functional/Acquired IGF-I Deficiency - Uncoupling of GHR Signaling to IGF1 Gene Transcription and Maintained GHR Metabolic Signaling Due to Insulin Deficiency

 

Increased GHR signaling in obese children does not generally result in elevated IGF-I, due to negative feedback inhibition of GH. In contrast, impairment of GH signaling due to insulin deficiency cannot generally be compensated by GH hypersecretion. This is true in fasting children (63) and adults (62). The exact mechanisms by which insulin and GH signaling crosstalk on the post-receptor level is not yet understood (Figure 3). More recent data suggesting that FGF21 plays a role in mediating these events needs further confirmation (72). Interestingly, GH signaling leading to activation of lipolysis in adipose tissue and increased hepatic glucose production via both glycogenolysis and gluconeogenesis in the liver, is not affected by the absence of insulin crosstalk (reviewed in (72)). This has important implications in securing substrate mobilization and gluconeogenesis during fasting and explains the cardinal hypoglycemic symptoms in GHD and GHIS newborns in the absence of intrauterine growth retardation (IUGR). GH signaling leading to lipolysis is thought to involve STAT5b. Most information comes from animal models and involves GH signaling in the liver, but in mouse adipose tissue GHR KO downregulates beta-3 adrenergic receptor expression and inhibits lipolysis (73). GH effects are lost if STAT5b signaling is blocked (74), gene transcript profiles of GHR KO and STAT5b KO animals overlap largely, and STAT5b controls key regulator enzymes involved in lipid metabolism (75). However, if STAT5b mediates both metabolic signaling and IGF-I production it still needs to be understood where the two pathways diverge, and why GH metabolic signaling is not blocked in the absence of insulin crosstalk. In humans, recent studies have identified new GH signaling responses involving GH downregulation of fat-specific protein (FSP27), a negative regulator of lipolysis. MEK/ERK activation and inhibition of peroxisome proliferator-activated receptor-γ (PPARγ) are involved, and this offers an alternative signaling pathway from the GHR (76).

 

Interactions Among Endocrine Axes

 

The activity of the insulin-GH-IGF-axis is dependent on the other endocrine axes which have permissive actions on GH stimulated IGF-I expression and affect IGFBPs and proteases (Figure 4). For example, thyroxine is needed to enhance GH effects on endocrine IGF-I expression and a normal GH-IGF-IGFBP-axis is needed for optimal thyroid hormone production (77). Sex steroids further enhance the function of the GH-IGF-axis, most likely by attenuating pituitary and hypothalamic sensitivity to IGF-I negative feedback (78). The pivotal role of sex steroids on the setpoint of the axis is reflected by the peak circulating levels of IGF-I and IGFBP-3 reached in mid-puberty (50,51). On the other hand, GH via its stimulation of local IGF-I is important for testicular production of testosterone and spermatogenesis (79), and the local IGF-IGFBP-axis is involved in selection and growth of the primary follicle in the ovary, estradiol production and ovulation (80, 81). Finally, cortisol has impact on the actions of the GH-IGF-axis on growth by blocking IGF1R signaling leading to apoptosis (82) despite normal endocrine IGF-I levels (83).

 

Figure 4. Hypothalamic GH releasing hormone and somatostatin establish the pulsatile pituitary GH secretion that is established as the main regulator of endocrine and paracrine/autocrine IGF-I production during the first year of life in humans. Insulin is permissive for this regulation by modulating GHR signaling, and normal beta-cell release of insulin is required for normal liver derived endocrine IGF-I levels measured in serum (blue insert) that in most cases is a good marker of the local production and actions of IGF-I. During fasting the GH regulation of IGF-I is uncoupled, resulting in decreased IGF-I (and catabolism) and elevated GH secretion and maintained lipolytic signals securing gluconeogenesis and preventing hypoglycemia. Apart from insulin, the endocrine thyroid axis is important for normal GH induced IGF-I production and during pubertal development sex steroids from the gonads enhance the performance of the GH-IGF-axis presumable by relaxation of the negative IGF-I feedback on GH secretion allowing a higher set-point of the axis. Whether this is an estradiol effect is not fully elucidated but it is suggested by the fact that non-aromatizable androgens such as oxandrolone do not affect IGF-I levels. The actions of the adrenal axis are most likely local and involve actions on IGF1R signaling leading to apoptosis of stem cells in the growth plate and thus irreversible loss of height. Cortisol excess leaves endocrine IGF-I and GH levels largely unaffected.

 

Discordance Between Endocrine and Paracrine/Autocrine IGF-I

 

An important example of metabolic and mitogenic consequences of an unbalanced endocrine versus autocrine/paracrine insulin-GH-IGF-axis comes from observations in children and adolescents with type 1 diabetes (Figure 5). They suffer specifically from insulin deficiency in the hepatic portal circulation as a result of the subcutaneous delivery of insulin (reviewed by Dunger (64)). This attenuates their endocrine production of circulating IGF-I despite excessive GH secretion (84). Circulating IGF-I deficiency and GH hypersecretion induce insulin resistance which is further augmented by insufficient suppression of hepatic glucose output. To overcome this, higher subcutaneous insulin doses are needed to maintain glycemic control, and this results in aggravated systemic hyperinsulinemia. The importance of local tissue hyperinsulinemia and GH hypersecretion in generating high paracrine/autocrine IGF-I production and promoting mitogenic vascular events leading to diabetic long-term complications should not be underestimated. Based on this insight, a promising new drug targeting the alphaVbeta3 integrin affecting IGF-I signaling in smooth muscle cells has been found to inhibit the development of atherosclerotic lesions in diabetic pigs (85). Another consequence of a compensatory increased in local IGF-I activity is the finding of normal childhood and pubertal linear growth despite endocrine IGF-I deficiency in type 1 diabetes (86). It is interesting that the endocrine and paracrine/autocrine changes in the insulin-GH-IGF-axis observed in children with type 1 diabetes closely resembles those observed in liver IGF-I KO mice which eventually leads to diabetes in the KO mice. Given that portal delivery of insulin, which has the potential to completely restore IGF-I levels in type 1 diabetes (70, 71, 87), remains an experimental treatment, rhIGF-1 treatment to restore circulating IGF-I and suppress GH and decrease insulin needs appears to be the most feasible approach to take (88). In a 6-month clinical trial of a single daily injection of rhIGF-1 improved glycemic control in adolescents with type 1 diabetes were found (89). Long-term studies on diabetic vascular complications have yet to be performed.

 

If paracrine/autocrine IGF-I production is lost in addition to liver-derived IGF-I, the metabolic consequences become obvious. This situation was first reported in a boy with a deletion of exon 4 of the IGF-I gene (90) resulting in severe fetal and post-natal growth arrest, poor brain development and extreme insulin resistance with compensatory hyperinsulinemia and acanthosis nigricans. A short trial of treatment with rhIGF-1 resulted in normalization of circulating IGF-I, suppression of GH hypersecretion and a markedly decreased insulin response to a meal tolerance test (91). In this example and in type 1 diabetes, it has been discussed whether the normalization of glucose metabolism following rhIGF-I therapy is most importantly associated with insulin-like effects of IGF-I on glucose uptake in muscle or suppression of GH hypersecretion? Although most studies support the importance of GH suppression, prolonged actions of IGF-I similar to that of long-acting insulin analogs in type 1 diabetic patients are important. IGF-I is equipotent with insulin in stimulating glucose uptake in human muscle but has less effects in fat and liver (92). Reports that newborns with a complete lack of insulin effects due to inactivating defects in the INSR gene can now survive for extended time into adolescence when treated with recombinant IGF-I, that stimulate glucose uptake via the IGF1R sharing common signaling pathways with the INSR, support an important direct role of IGF-1 signaling on metabolism (93).

 

Figure 5. Changes in liver derived endocrine IGF-I measured in the circulation and paracrine/autocrine IGF-I are in most cases concordant. In the absence of practical and validated methods to measure IGF-I at the tissue site of action, paracrine/autocrine IGF-I activity is assessed by determining known physiological actions of IGF-I such as growth or glucose metabolism. Type 1 diabetes is a condition with discordant changes in endocrine vs. paracrine/autocrine changes in IGF-I that in many ways resembles those reported in a mouse model of conditional knock-out of IGF-1 expression in the liver. In type 1 diabetes, insulin deficiency in the liver, caused by a systemic rather than a portal insulin replacement therapy, results in a functional GHR signaling defect to IGF-I transcription (uncoupling). Low endocrine IGF-I production decreases circulating IGF-I and results in decreased negative pituitary feedback and GH hypersecretion. The lack of direct IGF-I effects on glucose uptake in muscle and the diabetogenic effects of GH (including maintained signaling to lipolysis) decreases insulin actions on glucose metabolism (known as insulin resistance). The portal insulin deficiency also fails to suppress hepatic glucose production. In other to maintain glycemic control, the increased insulin requirement can only be met by more subcutaneous insulin leading to systemic hyperinsulinemia. There is no direct information about local paracrine/autocrine IGF-I activity, but there are several indications that tissue hyperinsulinemia and GH hypersecretion results in a compensatory increase of tissue IGF-I activity. Firstly, linear growth is not impaired in children and adolescents with Type 1 Diabetes despite of their low endocrine IGF-I (comparable to levels in short stature children), indicating a compensatory upregulation of local IGF-I activity (IGF-I being the most important stimulator of longitudinal growth). Secondly, it is plausible that increased local IGF-I activity contributes to diabetes complications known to be tightly associated with increased rather than decreased IGF-I activity. While type 1 diabetes is not generally associated with increased risk of cancer, the increase in local production of IGF-I in obesity and type 2 diabetes may contribute.

 

Liver Disease and Endocrine Versus Paracrine/Autocrine IGF-1 Production

 

In children with severe liver disease, there may be similar discrepancies between circulating endocrine levels of IGF-I and IGF-I activity in peripheral levels contributed by paracrine/autocrine secretion of IGF-I (94). However, less is known about peripheral IGF-I activity and it is possible that there are more secondary metabolic and nutritional issues that could lower local IGF-I production and impact on linear growth. Particularly in liver cirrhosis associated with thalassemia major, which concomitantly can impair pituitary GH secretion, there is no secondary upregulation of local IGF-I and linear growth failure is common (95). Recently, increased IGF-I expression was reported in obese children with non-alcoholic fatty liver disease (NAFLD) and it was combined with upregulation of IGF1R (96), not expressed in the normal liver but involved in liver repair, such as after liver resection in a mouse model (97).

 

GH and Cytokine Crosstalk

 

STAT5b phosphorylation is also mediated by activation of other members of the cytokine receptor family and has an impact on immunological function: this is evident from the finding of immune deficient symptoms in children with STAT5b genetic defects (98) but these are not found in GHD and GHIS children.

 

Negative Control of GHR Signaling

 

Control of the GH signaling cascade is also under inhibitory control, principally by two mechanisms. Firstly, tyrosine phosphatases including PTP dephosphorylate GHR associated molecules. In Noonan’s syndrome genetic defects in the PTPN11 gene may affect this pathway and has been implicated in poor growth and poor response to GH therapy, although reports are conflicting (99, 100). In addition, the SOCS gene is activated by GH signaling and works as a short intracellular negative feedback loop which rapidly down-regulate GHR activity by internalization and receptor ubiquitinoylation resulting in lysosomal and proteasomal degradation (101).

 

Other Nutritional Signals to the GH-IGF-Axis

 

Nutritional supplementation increasing dietary protein intake from cow’s milk increases endocrine IGF-I, while an equal intake of animal protein from meat does not (102). It is possible that the amino-acid composition that differs depending on the dietary source may contribute, and there are other constituents in skimmed milk not present in meat. More likely, however, it is explained by a higher carbohydrate intake in the milk group (while fat content was higher with meat supplementation) and the finding that fasting insulin levels doubled (103), in accordance with the essential regulatory role of insulin on GHR signaling discussed above. There is, however, direct evidence for a regulatory role of amino-acids on IGF-I production that is independent of insulin. Branched chained amino-acids (BCAA) are known to stimulate cell growth by the activation of mTORC2, a protein complex that controls protein synthesis in cells by sensing nutrient and energy availability and is also one of the main signaling pathways of IGF-I and insulin (Figure 3). The role of BCAA has been studied in rats given a restricted diet containing high levels of BCAA, compared to a group given low levels of BCAA (104).

 

The availability of nutrients in the circulation might also have a direct effect on the production of IGF-I. Human breast adipocytes cultured in high glucose levels have been found to produce more IGF-I compared to adipocytes cultured in low glucose levels (105).

 

IGF-II

 

IGF-II is a paracrine/autocrine hormone which is as essential for fetal growth as IGF-I (21). IGF-II may also contribute considerable to postnatal growth although the absence of endocrine effects makes it difficult to study in humans. Less is known about the metabolic actions of IGF-II. Growth promoting actions of IGF-II is via the IGF1R and IGF1R-INSR hybrid receptors which has preference for IGF-II actions if the A isoform of the INSR receptor – expressed in the fetus and in malignantly transformed cells - pairs with the IGF1R in the hybrid (106). The human IGF2 gene is an imprinted gene (107) exclusively expressed from the paternal allele in certain tissues (reviewed by Rossignol (108). The imprinted promoter region is found in a complex configuration with the H19 gene on chromosome 11 and shares two important imprinting regions with this gene. Methylation of the imprinting region ICR1 results in expression of the paternal IGF2allele, while H19 gene expression is suppressed. Correct imprinting should lead to expression of the paternal allele only and sufficient expression of IGF-II for normal growth. Loss of methylation of the ICR1 on the paternal allele results in the phenotype of Silver Russell syndrome (SRS) which may also arise from other genetic aberrations that have not yet been linked to the IGF-II production or signaling cascade including maternal uniparental dyssomnia of chromosome 7.

 

SRS is characterized by proportional IUGR with severe SGA at birth, relative sparing of the brain with close to normal head circumference at birth, severe feeding difficulties in infancy and childhood (which in contrast to Prader-Willi syndrome does not rebound into feeding obsession later in life), postnatal growth retardation and body asymmetry. As indicated by the SRS phenotype, IGF2 gene transcription of some organs are not controlled by imprinting. The relative normal development of the brain and the relative macrocephaly of SRS is explained by the lack of imprinting control of IGF-II expression in the brain. Children with genetic mutations in the expressed paternal allele of the IGF2 gene, were reported to have an SRS phenotype. They had somewhat more pronounced psychomotor developmental problems compared with the SRS phenotype, which has increased risk of autism spectrum defects including attention deficit hyperactivity disorder. In SRS, there is a normal postnatal expression of the IGF2 gene in the liver leading to normal levels of circulating IGF-II. Interestingly, the normal endocrine levels of IGF-II do not overcome the postnatal growth restriction. A similar lack of endocrine IGF-II effects on growth and metabolism was reported in the IGF-I deficient child mentioned previously with a loss of exon 4 of the IGF1 gene. He had compensatory increased GH, IGFBP-3, ALS as a result of lack of negative IGF-I feedback and secondary to the increased IGF binding capacity, increased IGF-II (see also the chapter on IGF-binding proteins below). Another observation in favor of this view is the lack of a correlation between newborn cord levels of IGF-II and birth size (41). This contrasts with a strong positive correlation between cord blood IGF-I concentrations and birth size. The role of IGF-II should be viewed in the light of Efstradiadis series of knock-out experiments in mice (21) where the Igf2ko mice had the same degree of fetal growth retardation as the igf1ko which demonstrates that IGF-II is a paracrine/autocrine and not an endocrine hormone.

 

It is possible that circulating IGF-II after release from the ternary complex is cleared from the circulation by binding to the IGF2R – identical to the mannose-6-phosphate receptor – which is associated with lysosomes and results in degradation of IGF-II in endothelial cells (23). In the elegant mouse KO experiments by Efstradiadis et al (21), KO of the IGF2R resulted in fetal overgrowth. However, the largely elevated IGF-II serum levels in that model are more likely a secondary finding, while the lack of clearance of paracrine/autocrine IGF-II is the explanation for the excessive growth.

 

IGF Binding Proteins

 

Six IGFBPs bind IGF-I and IGF-II inside and outside the circulation and has impact on IGF bioactivity (reviewed by Clemmons (109). The IGFBP-related proteins share some structural similarities with the six IGFBPs but have no relevant impact on IGF bioactivity. GF-I passes the endothelium intact primarily via IGF1R mediated transcytosis and this process is essential for endocrine actions of liver derived IGF-I (110). Limited experimental evidence from animal and tissue cultures suggest that IGF-I complexed with IGFBP-1 and -2 may leave the circulation, although the extent and importance is unclear (Bar 1990).  After endothelial passage IGF-I redistributes to soluble IGFBPs in the extravascular fluids or IGFBPs bound on extracellular matrix or cell surfaces (111). The concentration of unbound IGF-I in the circulation is likely to be proportional to unbound IGF-I concentrations in the tissues, but they are not equal and may have different relationship in different target tissues with differentially-expressed IGFBPs.

 

As pointed out earlier in this review, transgenic animal studies disrupting one or more IGFBPs have not suggested that a marked growth phenotype should be expected in children and no IGFBP mutations causing growth retardation in children had been reported to the best of my knowledge. Interestingly, as predicted by the Igfbp4-ko and the pappa-ko animal models described previously, a human PAPP-A2 gene defect with growth phenotype was recently reported as detailed below (43).

 

Free IGF-I Assays

 

Assays claiming to measure free circulating IGF-I have been developed, but it is unclear to what extent different techniques are influenced by redistribution of IGF-I among IGFBPs associated with the assay procedure (112). Anyway, the fact that IGF-I redistribute among extravascular IGFBPs after passing the endothelium is likely to affect the local tissue bioavailability even more. Moreover, the fact that most data in the literature originate from one assay technique established in one single laboratory has resulted in a lack of confirmatory reports. In a few cases, measurements with different free IGF-I assays have been reported from the same study/experiment with large differences in results (113). The bottom line is that measurements of free IGF-I have not been demonstrated to better predict different physiological or pathophysiological conditions in humans and do therefore not provide any clinically important contributions (114, 112). Techniques to assess IGF-I at the tissue site of action pose practical and methodological challenges. Attempts to establish and validate a method to determine local tissue levels by microdialysis have been reported in adolescents with type 1 diabetes, where endocrine levels are a poor marker of local IGF-I activity (115).

 

Ternary Complex Formation

 

The developmental establishment of GH control over the IGF1, IGFBP3 and IGFALS genes in early childhood initiates the dominance of the ternary complex formed by IGF-I or IGF-II and IGFBP-3 (or IGFBP-5) and ALS as the quantitatively most important circulating form of IGF-I and IGF-II (reviewed by Baxter (116). In the human fetus and newborn, serum IGFBP-3 and ALS concentrations are low and ternary complex formation is absent (117). Although IGF2 gene expression is not under GH control, the circulating levels of IGF-II are largely influenced by GH status since IGF-II (as well as IGF-I and IGFBP-3) is rapidly cleared from the circulation if not bound in the ternary complex. This can be observed in children with SPIGFD, who are deficient in IGF-I as well as IGFBP-3 and ALS, and in whom sc injected rhIGF-I displays a very fast serum clearance rate (118). As mentioned, formation of the ternary complex also governs the circulating levels of IGFBP-3 which under physiological conditions is present in a 1:1 molar relationship with IGF-I plus IGF-II. ALS is a large glucoprotein that under physiological conditions are present in a two-fold molar excess (16).

 

Immunometric IGFBP-3 assays have been claimed to be more predictive of GH status in very young children; however, the support for that is weak. It is rather a misconception related to problems of commercial IGF-I assays at the lower end of IGF-I detection. Moreover, IGFBP-3 has been claimed to provide information about IGF-I bioavailability from calculating the molar ratio of total IGF-I to IGFBP-3. Given that both IGF-I and IGFBP-3 are rapidly cleared from the circulation if unbound, using the IGF-I/IGFBP-3 ratio and disregarding IGF-II concentrations (that are 2-3-fold those of IGF-I on a molar basis) does not make any sense. During puberty, for example, IGF-I bioactivity is increased (114). This is dependent on the 3-4-fold increase in total IGF-I (50), which consequently results in an increase in unbound IGF-I, even if the increase is matched with the same absolute molar increase in IGFBP-3 (and complexed with ALS in a ternary complex). A common view is that increased IGF-I bioactivity depends on a higher IGF-I/IGFBP-3 molar ratio during puberty. However, the increase in molar ratio is entirely explained by the fact that IGF-I and IGFBP-3 increase with the same number of moles per liter, but with a larger relative increase in IGF-I than IGFBP-3 and with IGF-II molar concentrations being unchanged (112).

 

IGFBP Proteolysis and Physiological Consequences

 

The fact that proteolytic cleavage of IGFBP-3 is common, and may result in falsely elevated IGFBP-3 immunoactivity, is the most likely reason for observing a low IGF-I/ IGFBP-3 ratio. Under certain physiological conditions first described in pregnancy (119, 120), specific proteases cleave IGFBP-3 into several proteolytic fragments of which each may retain immunoactivity and thus give rise to signals in an immunometric assay (121). This will lead to overestimations of the IGFBP-3 immunoreactivity in pregnancy, which is already truly increased due to increased placental GH tonus. It may also lead to the erroneous conclusion that IGF-I bioactivity is decreased. On the contrary, IGF-I bioactivity is increased in the maternal circulation resulting from increased total serum IGF-I and decreased binding affinity of fragmented IGFBP-3 (122). There is strong experimental evidence that IGFBP proteolysis results in lower IGF binding affinity. The finding that partial IGFBP-3 proteolysis, such as in pregnancy, does not disrupt the ternary complex, has questioned its significance. However, evidence for increased IGF-I bioactivity in a ternary complex with fragmented IGFBP-3 exists (123). IGFBP-3 proteolysis has also been described in insulin resistant states such as fasting, obesity and type 1 and 2 diabetes (62, 124, 125). While several known proteolytic enzymes such as those involved in blood clotting (126) and cancer metastasis (127, 128) have been identified as IGFBP-3 proteases, the identity of the pregnancy protease is still not resolved.

 

Recently, a human gene mutation of PAPP-A2, a circulating and tissue protease with IGFBP-5 (and to some extent IGFBP-3) as its primary substrate (Gaudamauskes et al), was demonstrated to have a marked growth phenotype involving fetal and post-natal growth retardation in children in a consanguineous family (43). Largely elevated levels of circulating IGF-I but as a result of absence of proteolysis of IGFBP-5 and IGFBP-3, necessary for disruption of ternary complex formation, IGF-I bioactivity in serum is low and presumably tissue bioactivity of IGF-I (and IGF-II) is low. Functionally, this is a state of severe primary IGF-I deficiency (despite of elevated total serum IGF-I) and pharmacokinetic studies suggested that sc. Injections of rhIGF-1 resulted in a fraction of unbound IGF-I in serum despite the impaired proteolysis of IGFBP-5 and IGFBP-3 (133). Attempts to improve linear growth by rhIGF-I treatment has been reported to result in some improvements in a few affected children but not all (134, 135)

 

It is beyond the scope of this chapter to review the overwhelming evidence from cell biology experiments demonstrating the important role of IGFBPs in modulating IGF bioactivity and the role of IGFBP proteases and their actions at the cellular level. Furthermore, IGFBPs other than IGFBP-3 may play a role in the access of IGF-I to various tissues (129).

 

SUMMARY

 

In the present review the pivotal role of nutrition and insulin in determining the regulation and actions of the GH-IGF-axis is reviewed. For the pediatrician, caring for patients in a phase of rapid growth and development, it is important to refer to normality and understand the requirements for a normal insulin-GH-IGF-axis in order to succeed in this task. In the complex work-up, treatment and management of growth disorders a thorough understanding of the normal physiology of the axis is essential in taking the right actions (130, 131). From the normal physiology of this axis, it is possible to understand the consequences of various genetic defects and disorders that affect its regulation and function. The most severe conditions associated with defects in the axis may cause a loss of adult height of approximately 1/3 and may cause severe developmental and neurological deficits and compromise pubertal maturation and fertility. Minor changes in the setpoint of the axis caused by programming of the fetus exposed to intra-uterine growth retardation may predispose the individual for poor linear growth and later metabolic disease, insights that the pediatrician should be aware of and consider in order to improve health and prevent later disease.

 

REFERENCES

 

  1. Salmon WD, Daughaday WH. A hormonally controlled serum factor which stimulates sulfate incorporation by cartilage in vitro. J Lab Clin Med. 1957;49:825–826.
  2. Leonards JR. Insulin-like activity of blood, what is it? Federation Proc. 1959;18:272.
  3. Froesch ER, Bürgi WA, Ramseier EB, Bally P, Labhart A. Antibody-suppressible and nonsuppressible insulin-like activities in human serum and their physiological significance. An insulin assay with adipose tissue of increased precision and specificity. J Clin Invest 1963;42:1816– 1834.
  4. Froesch ER, Muller WA, Bürgi H, Waldvogel M, Labhart A. Non-suppressible insulin-like activity of human serum. II. Biological properties of plasma extracts with non-suppressible insulin-like activity. Biochim Biophys Acta. 1966;121:360–374.
  5. Van Wyk JJ, Hall K, Van den Brande JL, Weaver RP. Further purification and characterization of sulfation factor and thymidine factor from acromegalic plasma. J Clin Endocrinol Metab. 1971;32:389–403.
  6. Van Wyk JJ, Hall K, Weaver RP. Partial purification of sulphation factor and thymidine factor from plasma. Biochim Biophys Acta 1969;192:560–562.
  7. Uthne K. Human Somatomedin. Purification and some studies on their biological actions. Thesis, Stockholm, 1973.
  8. Rinderknecht E, Humbel RE. The amino acid sequence of human insulin-like growth factor I and its structural homology with proinsulin. J Biol Chem. 1978;253:2769–2776.
  9. Rinderknecht E, Humbel RE. Primary structure of human insulin-like growth factor II. Febs Letters. 1978;89:283–286.
  10. Klapper DG, Svoboda ME, Van Wyk JJ. Sequence analysis of somatomedin-C: confirmation of identity with insulin-like growth factor I. Endocrinology. 1983;112:2215–2217.
  11. Moses AC, Nissley SP, Short PA, Rechler MM, Podskalny JM. Purification and characterization of multiplication stimulating activity. Insulin- like growth factors purified from rat-liver- cell-conditioned medium. Eur J Biochem. 1980;103:387–400.
  12. Zapf J, Waldvogel M, Froesch ER. Binding of nonsuppressible insulinlike activity to human serum: evidence for a carrier protein. Arch Biochem Biophys. 1975;169:638–645.
  13. Hintz RL, Liu F. Demonstration of specific plasma protein binding sites for somatomedin. J Clin Endocrinol Metab. 1977;45:988– 495.
  14. Hintz RL, Liu F. Demonstration of specific plasma protein binding sites for somatomedin. J Clin Endocrinol Metab. 1977;45:988– 495.
  15. Martin JL, Baxter RC. Insulin-like growth factor-binding protein from human plasma. Purification and characterization. J Biol Chem. 1986;261:8754–8760.
  16. Baxter RC. Characterization of the acid-labile subunit of the growth hormone-dependent insulin-like growth factor binding protein complex. J Clin Endocrinol Metab. 1988;67:265–272.
  17. Póvoa G, Enberg G, Jörnvall H, Hall K. Isolation and characterization of a somatomedin-binding protein from mid-term human amniotic fluid. Eur J Biochem. 1984;144:199-204.
  18. Póvoa G, Roovete A, Hall K. Cross-reaction of serum somatomedin-binding protein in a radioimmunoassay developed for somatomedin-binding protein isolated from human amniotic fluid. Acta Endocrinol (Copenh). 1984;107:563-70.
  19. Suikkari AM, Koivisto VA, Rutanen EM, Yki Jarvinen H, Karonen SL, Seppala M. Insulin regulates the serum levels of low molecular weight insulin-like growth factor-binding protein. J Clin Endocrinol Metab. 1988;66:266–272.
  20. Hossenlopp P, Seurin D, Segovia B, Quinson B, Hardouin S, Binoux M. Analysis of serum insulin-like growth factor binding proteins using Western competitive binding studies. Anal Biochem 1986;154:138–143.
  21. Efstratiadis A. Genetics of mouse growth. Int J Dev Biol. 1998;42:955-976.
  22. Ludwig T, Eggenschwiler J, Fisher P, D'Ercole AJ, Davenport ML, Efstratiadis A. Mouse mutants lacking the type 2 IGF receptor (IGF2R) are rescued from perinatal lethality in Igf2 and Igf1r null backgrounds. Dev Biol. 1996;177:517-535.
  23. Hachiya HL, Carpentier JL, King GL. Comparative studies on insulin-like growth factor II and insulin processing by vascular endothelial cells. Diabetes. 1986;35:1065-1072.
  24. Lindahl A, Isgaard J, Carlsson L, Isaksson OG. Differential effects of growth hormone and insulin-like growth factor I on colony formation of epiphyseal chondrocytes in suspension culture in rats of different ages. Endocrinology. 1987;121:1061-1069.
  25. Pintar JE, Schuller A, Cerro JA, Czick M, Grewal A, Green B. Genetic ablation of IGFBP-2 suggests functional redundancy in the IGFBP family. Prog Growth Factor Res. 1995;6:437-45.
  26. Wood TL, Rogler LE, Czick ME, Schuller AG, Pintar JE. Selective alterations in organ sizes in mice with a targeted disruption of the insulin-like growth factor binding protein-2 gene. Mol Endocrinol. 2000;14:1472-82.
  27. Murali SG, Liu X, Nelson DW, Hull AK, Grahn M, Clayton MK, Pintar JE, Ney DM. Intestinotrophic effects of exogenous IGF-I are not diminished in IGF binding protein-5 knockout mice. Am J Physiol Regul Integr Comp Physiol. 2007;292:R2144-2150.
  28. Ning Y, Hoang B, Schuller AG, Cominski TP, Hsu MS, Wood TL, Pintar JE. Delayed mammary gland involution in mice with mutation of the insulin-like growth factor binding protein 5 gene. Endocrinology. 2007;148:2138-2147.
  29. Pintar JE, Cerro JA, Wood TL. Genetic approaches to the function of insulin-like growth factor-binding proteins during rodent development. Horm Res. 1996;45:172-177.
  30. Ning Y, Schuller AG, Bradshaw S, Rotwein P, Ludwig T, Frystyk J, Pintar JE. Diminished growth and enhanced glucose metabolism in triple knockout mice containing mutations of insulin-like growth factor binding protein-3, -4, and -5. Mol Endocrinol. 2006;20:2173-2186.
  31. Conover CA, Bale LK, Overgaard MT, Johnstone EW, Laursen UH, Füchtbauer EM, Oxvig C, van Deursen J. Metalloproteinase pregnancy-associated plasma protein A is a critical growth regulatory factor during fetal development. Development. 2004;131:1187-1194.
  32. Bale LK, Conover CA. Disruption of insulin-like growth factor-II imprinting during embryonic development rescues the dwarf phenotype of mice null for pregnancy-associated plasma protein-A. J Endocrinol. 2005;186:325-331.
  33. Yakar S, Liu JL, Stannard B, Butler A, Accili D, Sauer B, LeRoith D. Normal growth and development in the absence of hepatic insulin-like growth factor I. Proc Natl Acad Sci U S A. 1999;96:7324-7329.
  34. Yu R, Yakar S, Liu YL, Lu Y, LeRoith D, Miao D, Liu JL. Liver-specific IGF-I gene deficient mice exhibit accelerated diabetes in response to streptozotocin, associated with early onset of insulin resistance. Mol Cell Endocrinol. 2003;204:31-42.
  35. Fan Y, Menon RK, Cohen P, Hwang D, Clemens T, DiGirolamo DJ, Kopchick JJ, Le Roith D, Trucco M, Sperling MA. Liver-specific deletion of the growth hormone receptor reveals essential role of growth hormone signaling in hepatic lipid metabolism. J Biol Chem. 2009;284:19937-19944.
  36. Lighten AD, Hardy K, Winston RM, Moore GE. Expression of mRNA for the insulin-like growth factors and their receptors in human preimplantation embryos. Mol Reprod Dev. 1997;47:134-9.
  37. Han VK, D'Ercole AJ, Lund PK. Cellular localization of somatomedin (insulin-like growth factor) messenger RNA in the human fetus. Science. 1987;236:193-197.
  38. Yu Y, Yan J, Li M, Yan L, Zhao Y, Lian Y, Li R, Liu P, Qiao J. Effects of combined epidermal growth factor, brain-derived neurotrophic factor and insulin-like growth factor-1 on human oocyte maturation and early fertilized and cloned embryo development. Hum Reprod. 2012;27:2146-59.
  39. Rifas-Shiman SL, Fleisch A, Hivert MF, Mantzoros C, Gillman MW, Oken E, Lighten AD. First and second trimester gestational weight gains are most strongly associated with cord blood levels of hormones at delivery important for glycemic control and somatic growth. Metabolism. 2017;69:112-119.
  40. Bang P, Westgren M, Schwander J, Blum WF, Rosenfeld RG, Stangenberg M. Ontogeny of insulin-like growth factor-binding protein-1, -2, and -3: quantitative measurements by radioimmunoassay in human fetal serum. Pediatr Res. 1994;36:528-536.
  41. Lassarre C, Hardouin S, Daffos F, Forestier F, Frankenne F, Binoux M. Serum insulin-like growth factors and insulin-like growth factor binding proteins in the human fetus. Relationships with growth in normal subjects and in subjects with intrauterine growth retardation. Pediatr Res. 1991;29:219-225.
  42. Östlund E, Bang P, Hagenäs L, Fried G. Insulin-like growth factor I in fetal serum obtained by cordocentesis is correlated with intrauterine growth retardation. Hum Reprod. 1997;12:840-844.
  43. Dauber A, Muñoz-Calvo MT, Barrios V, Domené HM, Kloverpris S, Serra-Juhé C, Desikan V, Pozo J, Muzumdar R, Martos-Moreno GÁ, Hawkins F, Jasper HG, Conover CA, Frystyk J, Yakar S, Hwa V, Chowen JA, Oxvig C, Rosenfeld RG, Pérez-Jurado LA, Argente J. Mutations in pregnancy-associated plasma protein A2 cause short stature due to low IGF-I availability. EMBO Mol Med. 2016;8:363-374.
  44. Barker DJ, Osmond C. Infant mortality, childhood nutrition, and ischaemic heart disease in England and Wales. Lancet. 1986;1:1077-1081.
  45. Tobi EW, Goeman JJ, Monajemi R, Gu H, Putter H, Zhang Y, Slieker RC, Stok AP, Thijssen PE, Müller F, van Zwet EW, Bock C, Meissner A, Lumey LH, Eline Slagboom P, Heijmans BT. DNA methylation signatures link prenatal famine exposure to growth and metabolism. Nat Commun. 2014;5:5592.
  46. Veening MA, Van Weissenbruch MM, Delemarre-Van De Waal HA. Glucose tolerance, insulin sensitivity, and insulin secretion in children born small for gestational age. J Clin Endocrinol Metab. 2002;87:4657-4661.
  47. Sandhu MS, Heald AH, Gibson JM, Cruickshank JK, Dunger DB, Wareham NJ. Circulating concentrations of insulin-like growth factor-I and development of glucose intolerance: a prospective observational study. Lancet. 2002;359:1740-1745.
  48. Dunger D, Yuen K, Ong K. Insulin-like growth factor I and impaired glucose tolerance. Horm Res. 2004;62 Suppl 1:101-107.
  49. Öst A, Lempradl A, Casas E, Weigert M, Tiko T, Deniz M, Pantano L, Boenisch U, Itskov PM, Stoeckius M, Ruf M, Rajewsky N, Reuter G, Iovino N, Ribeiro C, Alenius M, Heyne S, Vavouri T, Pospisilik JA. Paternal diet defines offspring chromatin state and intergenerational obesity. Cell. 2014;159:1352-1364.
  50. Juul A, Bang P, Hertel NT, Main K, Dalgaard P, Jørgensen K, Müller J, Hall K, Skakkebaek NE. Serum insulin-like growth factor-I in 1030 healthy children, adolescents, and adults: relation to age, sex, stage of puberty, testicular size, and body mass index. J Clin Endocrinol Metab. 1994;78:744-752.
  51. Juul A, Dalgaard P, Blum WF, Bang P, Hall K, Michaelsen KF, Müller J, Skakkebaek NE. Serum levels of insulin-like growth factor (IGF)-binding protein-3 (IGFBP-3) in healthy infants, children, and adolescents: the relation to IGF-I, IGF-II, IGFBP-1, IGFBP-2, age, sex, body mass index, and pubertal maturation. J Clin Endocrinol Metab. 1995;80:2534-42.
  52. Hinrichs A, Kessler B, Kurome M, Blutke A, Kemter E, Bernau M, Scholz AM, Rathkolb B, Renner S, Bultmann S, Leonhardt H, de Angelis MH, Nagashima H, Hoeflich A, Blum WF, Bidlingmaier M, Wanke R, Dahlhoff M, Wolf E. Growth hormone receptor-deficient pigs resemble the pathophysiology of human Laron syndrome and reveal altered activation of signaling cascades in the liver. Mol Metab. 2018;11:113-128
  53. Alba M, Salvatori R. Familial Growth Hormone Deficiency and Mutations in the GHRH Receptor Gene. Vitam Horm. 2004;69:209-220.
  54. Alatzoglou KS, Turton JP, Kelberman D, Clayton PE, Mehta A, Buchanan C, Aylwin S, Crowne EC, Christesen HT, Hertel NT, Trainer PJ, Savage MO, Raza J, Banerjee K, Sinha SK, Ten S, Mushtaq T, Brauner R, Cheetham TD, Hindmarsh PC, Mullis PE, Dattani MT. Expanding the spectrum of mutations in GH1 and GHRHR: genetic screening in a large cohort of patients with congenital isolated growth hormone deficiency. J Clin Endocrinol Metab. 2009;94:3191-3199.
  55. The role of growth hormone in determining birth size and early postnatal growth, using congenital growth hormone deficiency (GHD) as a model. Mehta A, Hindmarsh PC, Stanhope RG, Turton JP, Cole TJ, Preece MA, Dattani MT.Clin Endocrinol (Oxf). 2005 Aug;63(2):223-31. doi: 10.1111/j.1365-2265.2005.02330.x.
  56. Savage MO, Blum WF, Ranke MB, Postel-Vinay MC, Cotterill AM, Hall K, Chatelain PG, Preece MA, Rosenfeld RG. Clinical features and endocrine status in patients with growth hormone insensitivity (Laron syndrome). J Clin Endocrinol Metab. 1993;77:1465-1471.
  57. Laron Z. Lessons from 50 years of study of Laron Syndrome. Endocr Pract. 2015;21:1395-1402. Jensen RB, Jeppesen KA, Vielwerth S,  Michaelsen KM,  Main KM,  Skakkebaek NE, Juul Insulin-like growth factor I (IGF-I) and IGF-binding protein 3 as diagnostic markers of growth hormone deficiency in infancy Horm Res 2005;63(1):15-21. doi: 10.1159/000082456.Epub 2004 Nov 30.
  58. Waters MJ, Hoang HN, Fairlie DP, Pelekanos RA, Brown RJ. New insights into growth hormone action. J Mol Endocrinol. 2006;36:1-7.
  59. Maes M, Maiter D, Thissen JP, Underwood LE, Ketelslegers JM. Contributions of growth hormone receptor and postreceptor defects to growth hormone resistance in malnutrition. Trends Endocrinol Metab. 1991;2:92-97.
  60. Argente J, Caballo N, Barrios V, Pozo J, Muñoz MT, Chowen JA, Hernández M. Multiple endocrine abnormalities of the growth hormone and insulin-like growth factor axis in prepubertal children with exogenous obesity: effect of short- and long-term weight reduction. J Clin Endocrinol Metab. 1997;82:2076-2083.
  61. Bang P, Brismar K, Rosenfeld RG, Hall K. Fasting affects serum insulin-like growth factors (IGFs) and IGF-binding proteins differently in patients with noninsulin-dependent diabetes mellitus versus healthy nonobese and obese subjects. J Clin Endocrinol Metab. 1994;78:960-967.
  62. Argente J, Caballo N, Barrios V, Muñoz MT, Pozo J, Chowen JA, Morandé G, Hernández M. Multiple endocrine abnormalities of the growth hormone and insulin-like growth factor axis in patients with anorexia nervosa: effect of short- and long-term weight recuperation. J Clin Endocrinol Metab. 1997;82:2084-2092.
  63. Dunger DB, Acerini CL. IGF-I and diabetes in adolescence. Diabetes Metab. 1998;24:101-107.
  64. Frystyk J, Skjaerbaek C, Vestbo E, Fisker S, Orskov H. Circulating levels of free insulin-like growth factors in obese subjects: the impact of type 2 diabetes. Diabetes Metab Res Rev. 1999;15:314-322.
  65. Van Dam EW, Roelfsema F, Helmerhorst FH, Frölich M, Meinders AE, Veldhuis JD, Pijl H. Low amplitude and disorderly spontaneous growth hormone release in obese women with or without polycystic ovary syndrome. J Clin Endocrinol Metab. 2002;87:4225-4230.
  66. Roemmich JN, Clark PA, Weltman A, Veldhuis JD, Rogol AD. Pubertal alterations in growth and body composition: IX. Altered spontaneous secretion and metabolic clearance of growth hormone in overweight youth. Metabolism. 2005;54:1374-1383.
  67. Stanley TL, Levitsky LL, Grinspoon SK, Misra M. Effect of body mass index on peak growth hormone response to provocative testing in children with short stature. J Clin Endocrinol Metab. 2009;94:4875-4881.
  68. Salgin B, Marcovecchio ML, Hill N, Dunger DB, Frystyk J. The effect of prolonged fasting on levels of growth hormone-binding protein and free growth hormone. Growth Horm IGF Res. 2012;22:76-81.
  69. Hanaire-Broutin H, Sallerin-Caute B, Poncet MF, Tauber M, Bastide R, Chalé JJ, Rosenfeld R, Tauber JP. Effect of intraperitoneal insulin delivery on growth hormone binding protein, insulin-like growth factor (IGF)-I, and IGF-binding protein-3 in IDDM. Diabetologia. 1996;39:1498-1504.
  70. Shishko PI, Dreval AV, Abugova IA, Zajarny IU, Goncharov VC. Insulin-like growth factors and binding proteins in patients with recent-onset type 1 (insulin-dependent) diabetes mellitus: influence of diabetes control and intraportal insulin infusion. Diabetes Res Clin Pract. 1994;25:1-12.
  71. Chia DJ. Mechanisms of growth hormone-mediated gene regulation. Mol Endocrinol. 2014;28:1012-1025.
  72. Heffernan M1, Summers RJ, Thorburn A, Ogru E, Gianello R, Jiang WJ, Ng FM. The effects of human GH and its lipolytic fragment (AOD9604) on lipid metabolism following chronic treatment in obese mice and beta(3)-AR knock-out mice. Endocrinology. 2001;142:5182-5189.
  73. Fain JN, Ihle JH, Bahouth SW. Stimulation of lipolysis but not of leptin release by GH is abolished in adipose tissue from STAT5a and b knockout mice. Biochem Biophys Res Commun. 1999;263:201–205.
  74. Clodfelter KH, Holloway MG, Hodor P, Park SH, Ray WJ, Waxman DJ. Sex-dependent liver gene expression is extensive and largely dependent upon signal transducer and activator of transcription 5b (STAT5b): STAT5b-dependent activation of male genes and repression of female genes revealed by microarray analysis. Mol Endocrinol. 2006;20:1333-1351.
  75. Sharma VM, Vestergaard ET, Jessen N, Kolind-Thomsen P, Nellemann B, Nielsen TS, Vendelbo MH, Møller N, Sharma R, Lee KY, Kopchick JJ, Jørgensen JOL, Puri V. Growth hormone acts along the PPARγ-FSP27 axis to stimulate lipolysis in human adipocytes. Am J Physiol Endocrinol Metab. 2019;316:E34-E42.
  76. Näntö-Salonen K, Muller HL, Hoffman AR, Vu TH, Rosenfeld RG. Mechanisms of thyroid hormone action on the insulin-like growth factor system: all thyroid hormone effects are not growth hormone mediated. Endocrinology. 1993;132:781-788.
  77. Veldhuis JD, Keenan DM, Bailey JN, Adeniji A, Miles JM, Paulo R, Cosma M, Soares-Welch C. Testosterone supplementation in older men restrains insulin-like growth factor's dose-dependent feedback inhibition of pulsatile growth hormone secretion. J Clin Endocrinol Metab. 2009;94:246-254.
  78. Colón E, Svechnikov KV, Carlsson-Skwirut C, Bang P, Soder O. Stimulation of steroidogenesis in immature rat Leydig cells evoked by interleukin-1alpha is potentiated by growth hormone and insulin-like growth factors. Endocrinology. 2005;146:221-30.
  79. Giudice LC. Insulin-like growth factor family in Graafian follicle development and function. J Soc Gynecol Investig. 2001;8(1 Suppl Proceedings):S26-9.
  80. Conover CA, Faessen GF, Ilg KE, Chandrasekher YA, Christiansen M, Overgaard MT, Oxvig C, Giudice LC. Pregnancy-associated plasma protein-a is the insulin-like growth factor binding protein-4 protease secreted by human ovarian granulosa cells and is a marker of dominant follicle selection and the corpus luteum. Endocrinology. 2001;142:2155-2161.
  81. Chrysis D, Zaman F, Chagin AS, Takigawa M, Sävendahl L. Dexamethasone induces apoptosis in proliferative chondrocytes through activation of caspases and suppression of the Akt-phosphatidylinositol 3'-kinase signaling pathway. Endocrinology. 2005;146:1391-1397.
  82. Bang P, Degerblad M, Thorén M, Schwander J, Blum W, Hall K. Insulin-like growth factor (IGF) I and II and IGF binding protein (IGFBP) 1, 2 and 3 in serum from patients with Cushing's syndrome. Acta Endocrinol (Copenh). 1993;128:397-404.
  83. Öberg D, Salemyr J, Örtqvist E, Juul A, Bang P. A longitudinal study of serum insulin-like growth factor-I levels over 6 years in a large cohort of children and adolescents with type 1 diabetes mellitus: A marker reflecting diabetic retinopathy. Pediatr Diabetes. 2018;19:972-978.
  84. Maile LA, Busby WH, Nichols TC, Bellinger DA, Merricks EP, Rowland M, Veluvolu U, Clemmons DR. A monoclonal antibody against alphaVbeta3 integrin inhibits development of atherosclerotic lesions in diabetic pigs. Sci Transl Med. 2010;2:18ra11.
  85. Vella A, Bouatia-Naji N, Heude B, Cooper JD, Lowe CE, Petry C, Ring SM, Dunger DB, Todd JA, Ong KK. Association analysis of the IGF1 gene with childhood growth, IGF-1 concentrations and type 1 diabetes. Diabetologia. 2008;51:811-815.
  86. Hedman CA, Frystyk J, Lindström T, Oskarsson P, Arnqvist HJ. Intraperitoneal insulin delivery to patients with type 1 diabetes results in higher serum IGF-I bioactivity than continuous subcutaneous insulin infusion. Clin Endocrinol (Oxf). 2014;81:58-62.
  87. Saukkonen T, Shojaee-Moradie F, Williams RM, Amin R, Yuen KC, Watts A, Acerini CL, Umpleby AM, Dunger DB. Effects of recombinant human IGF-I/IGF-binding protein-3 complex on glucose and glycerol metabolism in type 1 diabetes. Diabetes. 2006;55:2365-2370.
  88. Acerini CL, Patton CM, Savage MO, Kernell A, Westphal O, Dunger DB. Randomised placebo-controlled trial of human recombinant insulin-like growth factor I plus intensive insulin therapy in adolescents with insulin-dependent diabetes mellitus. Lancet. 1997;350:1199-1204.
  89. Woods KA, Camacho-Hübner C, Savage MO, Clark AJ. Intrauterine growth retardation and postnatal growth failure associated with deletion of the insulin-like growth factor I gene. N Engl J Med. 1996;335:1363-1367.
  90. Woods KA, Camacho-Hübner C, Bergman RN, Barter D, Clark AJ, Savage MO. Effects of insulin-like growth factor I (IGF-I) therapy on body composition and insulin resistance in IGF-I gene deletion. J Clin Endocrinol Metab. 2000;85:1407-1411.
  91. Dohm GL, Elton CW, Raju MS, Mooney ND, DiMarchi R, Pories WJ, Flickinger EG, Atkinson SM Jr, Caro JF. IGF-I--stimulated glucose transport in human skeletal muscle and IGF-I resistance in obesity and NIDDM. Diabetes. 1990;39:1028-1032.
  92. Nakae J, Kato M, Murashita M, Shinohara N, Tajima T, Fujieda K. Long-term effect of recombinant human insulin-like growth factor I on metabolic and growth control in a patient with leprechaunism. J Clin Endocrinol Metab. 1998;83:542-549.
  93. Dehghani SM, Karamifar H, Hamzavi SS, Haghighat M, Malek-Hosseini SA. Serum insulinlike growth factor-1 and its binding protein-3 levels in children with cirrhosis waiting for a liver transplant. Exp Clin Transplant. 2012;10:252-257.
  94. Moayeri H, Oloomi Z. Prevalence of growth and puberty failure with respect to growth hormone and gonadotropins secretion in beta-thalassemia major. Arch Iran Med. 2006;9:329-334.
  95. Alisi A, Pampanini V, De Stefanis C, Panera N, Deodati A, Nobili V, Cianfarani S. Expression of insulin-like growth factor I and its receptor in the liver of children with biopsy-proven NAFLD. PLoS One. 2018;13:e0201566.
  96. E CY, Cai Y, Sun BZ, Guan LY, Jiang T. Hepatic insulin-like growth factor receptor is upregulated by activation of the GSK3B-FOXO3 pathway after partial hepatectomy. J Biol Regul Homeost Agents. 2017;31:549-555.
  97. Kofoed EM, Hwa V, Little B, Woods KA, Buckway CK, Tsubaki J, Pratt KL, Bezrodnik L, Jasper H, Tepper A, Heinrich JJ, Rosenfeld RG. Growth hormone insensitivity associated with a STAT5b mutation. N Engl J Med. 2003;349:1139-1147.
  98. Binder G, Neuer K, Ranke MB, Wittekindt NE. PTPN11 mutations are associated with mild growth hormone resistance in individuals with Noonan syndrome. J Clin Endocrinol Metab. 2005;90:5377-81.
  99. De Rocca Serra-Nédélec A, Edouard T, Tréguer K, Tajan M, Araki T, Dance M, Mus M, Montagner A, Tauber M, Salles JP, Valet P, Neel BG, Raynal P, Yart A. Noonan syndrome-causing SHP2 mutants inhibit insulin-like growth factor 1 release via growth hormone-induced ERK hyperactivation, which contributes to short stature. Proc Natl Acad Sci U S A. 2012;109:4257-4262.
  100. Vesterlund M, Zadjali F, Persson T, Nielsen ML, Kessler BM, Norstedt G, Flores-Morales A. The SOCS2 ubiquitin ligase complex regulates growth hormone receptor levels. PLoS One. 2011;6:e25358.
  101. Hoppe C, Mølgaard C, Juul A, Michaelsen KF. High intakes of skimmed milk, but not meat, increase serum IGF-I and IGFBP-3 in eight-year-old boys. Eur J Clin Nutr. 2004;58):1211-1216.
  102. Hoppe C, Mølgaard C, Vaag A, Barkholt V, Michaelsen KF. High intakes of milk, but not meat, increase s-insulin and insulin resistance in 8-year-old boys. Eur J Clin Nutr. 2005;59:393-398.
  103. Mogami H, Yura S, Itoh H, Kawamura M, Fujii T, Suzuki A, Aoe S, Ogawa Y, Sagawa N, Konishi I, Fujii S. Isocaloric high-protein diet as well as branched-chain amino acids supplemented diet partially alleviates adverse consequences of maternal undernutrition on fetal growth. Growth Horm IGF Res. 2009;19:478-485.
  104. D'Esposito V, Passaretti F, Hammarstedt A, Liguoro D, Terracciano D, Molea G, Canta L, Miele C, Smith U, Beguinot F, Formisano P. Adipocyte-released insulin-like growth factor-1 is regulated by glucose and fatty acids and controls breast cancer cell growth in vitro. Diabetologia. 2012;55:2811-2822.
  105. Belfiore A, Frasca F, Pandini G, Sciacca L, Vigneri R. Insulin receptor isoforms and insulin receptor/insulin-like growth factor receptor hybrids in physiology and disease. Endocr Rev. 2009;30:586-623.
  106. DeChiara TM, Robertson EJ, Efstratiadis A. Parental imprinting of the mouse insulin-like growth factor II gene. Cell. 1991;64:849-859.
  107. Rossignol S, Netchine I, Le Bouc Y, Gicquel C. Epigenetics in Silver-Russell syndrome. Best Pract Res Clin Endocrinol Metab. 2008;22:403-414.
  108. Clemmons DR. Role of IGF-binding proteins in regulating IGF responses to changes in metabolism. J Mol Endocrinol. 2018;61:T139-T169.
  109. Banskota NK, Carpentier JL, King GL. Processing and release of insulin and insulin-like growth factor I by macro- and microvascular endothelial cells. Endocrinology. 1986;119:1904-1913.
  110. Maile LA, Badley-Clarke J, Clemmons DR. The association between integrin-associated protein and SHPS-1 regulates insulin-like growth factor-I receptor signaling in vascular smooth muscle cells. Mol Biol Cell. 2003;14:3519-3528.
  111. Bang P, Ahlsén M, Berg U, Carlsson-Skwirut C. Free insulin-like growth factor I: are we hunting a ghost? Horm Res. 2001;55 Suppl 2:84-93.
  112. Bang P, Thorell A, Carlsson-Skwirut C, Ljungqvist O, Brismar K, Nygren J. Free dissociable IGF-I: Association with changes in IGFBP-3 proteolysis and insulin sensitivity after surgery. Clin Nutr. 2016;35:408-413.
  113. Juul A, Holm K, Kastrup KW, Pedersen SA, Michaelsen KF, Scheike T, Rasmussen S, Müller J, Skakkebaek NE. Free insulin-like growth factor I serum levels in 1430 healthy children and adults, and its diagnostic value in patients suspected of growth hormone deficiency. J Clin Endocrinol Metab. 1997;82:2497-2502.
  114. Ekström K, Pulkkinen MA, Carlsson-Skwirut C, Brorsson AL, Ma Z, Frystyk J, Bang P. Tissue IGF-I Measured by Microdialysis Reflects Body Glucose Utilization After rhIGF-I Injection in Type 1 Diabetes.J Clin Endocrinol Metab. 2015;100:4299-4306.
  115. Baxter RC. Insulin-like growth factor binding proteins in the human circulation: a review. Horm Res. 1994;42:140-144.
  116. Bang P, Stangenberg M, Westgren M, Rosenfeld RG. Decreased ternary complex formation and predominance of a 29 kDa IGFBP-3 fragment in human fetal serum. Growth Regul. 1994;4:68-76.
  117. Ekström K, Carlsson-Skwirut C, Ritzén EM, Bang P. Insulin-like growth factor-I and insulin-like growth factor binding protein-3 cotreatment versus insulin-like growth factor-I alone in two brothers with growth hormone insensitivity syndrome: effects on insulin sensitivity, body composition and linear growth. Horm Res Paediatr. 2011;76:355-366.
  118. Giudice LC, Farrell EM, Pham H, Lamson G, Rosenfeld RG. Insulin-like growth factor binding proteins in maternal serum throughout gestation and in the puerperium: effects of a pregnancy-associated serum protease activity. J Clin Endocrinol Metab. 1990;71:806-816.
  119. Hossenlopp P, Segovia B, Lassarre C, Roghani M, Bredon M, Binoux M. Evidence of enzymatic degradation of insulin-like growth factor-binding proteins in the 150K complex during pregnancy. J Clin Endocrinol Metab. 1990;71:797-805.
  120. Diamandi A, Mistry J, Krishna RG, Khosravi J. Immunoassay of insulin-like growth factor-binding protein-3 (IGFBP-3): new means to quantifying IGFBP-3 proteolysis. J Clin Endocrinol Metab. 2000;85:2327-2333.
  121. Ahlsén M, Carlsson-Skwirut C, Jonsson AP, Cederlund E, Bergman T, Bang P. A 30-kDa fragment of insulin-like growth factor (IGF) binding protein-3 in human pregnancy serum with strongly reduced IGF-I binding. Cell Mol Life Sci. 2007;64:1870-1880.
  122. Yan X, Payet LD, Baxter RC, Firth SM. Activity of human pregnancy insulin-like growth factor binding protein-3: determination by reconstituting recombinant complexes. Endocrinology. 2009;150:4968-4976.
  123. Zachrisson I, Brismar K, Carlsson-Skwirut C, Dahlquist G, Wallensteen M, Bang P. Increased 24 h mean insulin-like growth factor binding protein-3 proteolytic activity in pubertal type 1 diabetic boys. Growth Horm IGF Res. 2000;10:324-331.
  124. Bang P, Brismar K, Rosenfeld RG. Increased proteolysis of insulin-like growth factor-binding protein-3 (IGFBP-3) in noninsulin-dependent diabetes mellitus serum, with elevation of a 29-kilodalton (kDa) glycosylated IGFBP-3 fragment contained in the approximately 130- to 150-kDa ternary complex. J Clin Endocrinol Metab. 1994;78:1119-1127.
  125. Bang P, Fielder PJ. Human pregnancy serum contains at least two distinct proteolytic activities with the ability to degrade insulin-like growth factor binding protein-3. Endocrinology. 1997;138:3912-3917.
  126. Rajah R, Katz L, Nunn S, Solberg P, Beers T, Cohen P. Insulin-like growth factor binding protein (IGFBP) proteases: functional regulators of cell growth. Prog Growth Factor Res. 1995;6:273-84.
  127. Martin DC, Fowlkes JL, Babic B, Khokha R. Insulin-like growth factor II signaling in neoplastic proliferation is blocked by transgenic expression of the metalloproteinase inhibitor TIMP-1. J Cell Biol. 1999;146:881-892.
  128. Gaidamauskas E, Gyrup C, Boldt HB, Schack VR, Overgaard MT, Laursen LS, Oxvig C.IGF dependent modulation of IGF binding protein (IGFBP) proteolysis by pregnancy-associated plasma protein-A (PAPP-A): multiple PAPP-A-IGFBP interaction sites. Biochim Biophys Acta. 2013 Mar;1830(3):2701-9. doi: 10.1016/j.bbagen.2012.11.002.PMID: 23671931
  129. Bang P, Ahmed SF, Argente J, Backeljauw P, Bettendorf M, Bona G, Coutant R, Rosenfeld RG, Walenkamp MJ, Savage MO. Identification and management of poor response to growth-promoting therapy in children with short stature. Clin Endocrinol (Oxf). 2012;77:169-181.
  130. Bang P, Polak M, Woelfle J, Houchard A; EU IGFD Registry Study Group. Effectiveness and Safety of rhIGF-1 Therapy in Children: The European Increlex® Growth Forum Database Experience. Horm Res Paediatr. 2015;83:345-357.
  131. Murray and Clayton. Disorders of growth hormone in childhood. MDText.com 2022
  132. Cabrera-Salcedo C, Mizuno T, Tyzinski L, Andrew M, Vinks AA, Frystyk J, Wasserman H, Gordon CM, Hwa V, Backeljauw P, Dauber A. Pharmacokinetics of IGF-1 in PAPP-A2-Deficient Patients, Growth Response, and Effects on Glucose and Bone Density. J Clin Endocrinol Metab. 2017 Dec 1;102(12):4568-4577. doi: 10.1210/jc.2017-01411.
  133. Muthuvel G, Dauber A, Alexandrou E, Tyzinski L, Andrew M, Hwa V, Backeljauw P. Five-Year Therapy with Recombinant Human Insulin-Like Growth Factor-1 in a Patient with PAPP-A2 Deficiency. Horm Res Paediatr. 2023;96(5):449-457. doi: 10.1159/000529071. Epub 2023 Jan 16.
  134. Muñoz-Calvo MT, Barrios V, Pozo J, Chowen JA, Martos-Moreno GÁ, Hawkins F, Dauber A, Domené HM, Yakar S, Rosenfeld RG, Pérez-Jurado LA, Oxvig C, Frystyk J, Argente J. Treatment With Recombinant Human Insulin-Like Growth Factor-1 Improves Growth in Patients With PAPP-A2 Deficiency. J Clin Endocrinol Metab. 2016 Nov;101(11):3879-3883. doi: 10.1210/jc.2016-2751. Epub 2016 Sep 20.

Evaluation and Treatment of Dyslipidemia in the Elderly

ABSTRACT

 

The definition of elderly is arbitrary. In this chapter we will define elderly as greater than 75 years of age because both the US and European lipids guidelines use this age to differentiate therapy recommendations. Atherosclerotic cardiovascular disease (ASCVD) is a major cause of morbidity and mortality in the elderly. Age is a key risk factor for ASCVD and with identical risk factors the 10-year risk of an ASCVD event markedly increases with age. In fact, an older individual with excellent risk factors can still have a high risk for having an ASCVD event. ASCVD begins early in life and progresses until it leads to clinical events later in life. The age that one develops clinical manifestations of ASCVD is dependent on the severity of individual risk factors, the number of risk factors, and the duration of exposure to the risk factors. Elderly individuals have a long exposure to risk factors so even when the risk factors are relatively modest the cumulative effects can be sufficient to result in clinical ASCVD events. This explains why age is such a key variable in determining the risk of developing an ASCVD event. Cardiovascular outcome studies have demonstrated that lowering LDL-C levels with statins, ezetimibe, or PCSK 9 monoclonal antibodies will reduce ASCVD events in elderly patients with pre-existing cardiovascular disease (secondary prevention). In elderly patients without cardiovascular disease (primary prevention) the available data does not definitively demonstrate a decrease in ASCVD events with statin or ezetimibe therapy but is suggestive of a benefit (note there are no primary prevention trials with PCSK9 inhibitors). Additional data is required to determine if bempedoic acid and icosapent ethyl reduce ASCVD events in patients ≥ 75 years of age. Studies are currently underway to provide definitive information on whether statin therapy is beneficial as primary prevention in the elderly. In deciding whether to treat an elderly patient with lipid lowering drugs one needs to consider the following factors; the higher the LDL-C level the greater the benefit of lowering LDL-C, the greater the decrease in LDL-C the greater the benefit, the higher the absolute risk of ASCVD the greater the benefit of lowering LDL-C, life expectancy, competing non-cardiovascular disorders, risk of drug side effects, potential for drug interactions, and patient preferences. In elderly patients without pre-existing ASCVD one should estimate the patient’s risk of developing ASCVD events and in conjunction with the general principles described above discuss with the patient a treatment plan. Determining the coronary calcium score can be helpful if there is uncertainty regarding the appropriate decision. If the decision is to treat our goal in primary prevention patients is often an LDL-C < 100mg/dL but in high-risk patients our goal may be an LDL-C < 70mg/dL. Elderly patients with ASCVD should be treated with lipid lowering drugs to reduce ASCVD unless there are contraindications. At a minimum our goal is an LDL-C < 70mg/dL but we would prefer an LDL-C < 55mg/dL if they can be achieved with a statin + ezetimibe. In very high-risk patients our goal is an LDL-C < 55mg/dL and adding a PCSK9 inhibitor may be required to achieve these levels in some patients. Age per se should not be used to withhold therapy with lipid lowering drugs that can reduce the risk of ASCVD events.

 

INTRODUCTION

 

Due to a decreasing birth rate and a longer life expectancy the population is getting older. According to the US census in 2020 there were approximately 50 million people between 65 and 84 years of age (14.9% of the total population) and approximately 6 million between 85 and 99 years of age (1.89% of the total population). The number of Americans ages 65 and older is projected to increase to 82 million by 2050 (23% of the total population). World-wide there are 703 million people aged 65 or older, which is projected to reach 1.5 billion by 2050 (1 in 6 people). It is well recognized that atherosclerotic cardiovascular disease (ASCVD) increases with age and is a major cause of morbidity and mortality in the elderly. In addition to an increased risk of coronary artery disease there is more than a doubling of the prevalence of peripheral arterial disease, cerebrovascular disease, and abdominal aortic aneurism with each decade of life (1). Unfortunately, the elderly (≥ 75 years of age) have not been well represented in lipid lowering cardiovascular outcome trials.

 

The definition of elderly is arbitrary. In this chapter we will define elderly as greater than 75 years of age because both the US and European guidelines use this age to differentiate therapy recommendations. In both the “Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines” and the “2019 ESC/EAS Guidelines for the Management of Dyslipidemias: Lipid Modification to Reduce Cardiovascular Risk” the recommendations for those over 75 years of age differ from recommendations for younger individuals (2,3). Thus, where possible we will focus on studies in individuals greater than 75 years of age.

 

LIPID LEVELS IN THE ELDERLY

 

Lipid levels in US adults from the National Health and Nutrition Examination Survey (NHANES) 2003-2004 are shown in Table 1 (4). Compared to 30–69-year-olds there is a slight decrease in LDL-C, non-HDL-C, and triglycerides with similar HDL-C levels in individuals 70-79 years of age. Other cross-sectional studies have reported similar results (5-11). Prospective studies with longitudinal follow-up have also observed small decreases in total cholesterol, LDL-C, and HDL-C levels in men and women as they become elderly (6,7,9,12-14). It should be noted that the changes in lipid levels reported with aging are relatively small and vary somewhat from study to study. The clinical significance of these small changes is uncertain.

 

Table 1. Lipid Levels in U.S. Adults (NHANES 2003-2004)

Age

LDL-C (mg/dL)

Non-HDL-C (mg/dL)

HDL-C (mg/dL)

Triglycerides (mg/dL)

20-29

104

126

54

105

30-39

120

146

54

118

40-49

124

152

53

144

50-59

123

154

55

141

60-69

126

157

54

145

70-79

119

148

56

133

 

Studies have demonstrated that older individuals have an exaggerated postprandial lipemia compared with younger individuals (15,16). While elevated postprandial triglycerides is associated with an increased risk of ASCVD whether this plays a causal role in increasing ASCVD is uncertain.

 

It is well recognized that with increasing age the likelihood of other medical disorders increases and this can affect lipid levels. For example, inflammation and infections can decrease LDL-C and HDL-C levels (17). Additionally, poor nutrition due to illness or social-economic factors could decrease lipid levels in the elderly. Finally, frailty is a syndrome associated with aging and increases with age. It is usually associated with a lowering of total, LDL-C, and non-HDL cholesterol levels (18-20).

 

AGE IS AN IMPORTANT RISK FOR ATHEROSCLEROTIC CARDIOVASCULAR DISEASE

 

The clearest way to illustrate the importance of age as a key risk factor for atherosclerotic cardiovascular disease (ASCVD) is to compare the 10-year risk at different ages using an updated version of the AHA/ACC pooled cohort equation. Shown in table 2 are four examples of the effect of age on 10-year risk in different clinical situations that demonstrate the marked effect of age on ASCVD risk. Similarly, using the SCORE risk calculator for determining the 10-year risk of fatal cardiovascular disease also demonstrates the very large impact of age on risk (figure 1). It is obvious that age is a major determinant of ASCVD risk.

 

Table 2. Ten Year Risk of Developing ASCVD

 

Age 55

Age 65

Age 75

Male, white, BP 130, TC 200, HDL-C 45, non-smoker, no diabetes

6.3%

13.9%

26.2%

Female, African American, BP120, TC 180, HDL-C 50, non-smoker, no diabetes

2.8%

6.3%

13.2%

Male, African American, BP140, TC 200, HDL-C 50, smoker, no diabetes

10.1%

14.9%

20.5%

Female, white, BP 140, TC 180, HDL-C 50, non-smoker, diabetes

4.4%

12.2%

32.9%

https://tools.acc.org/ascvd-risk-estimator-plus/#!/calculate/estimate/.

BP= systolic BP mm Hg, TC= total cholesterol mg/dL.

 

Figure 1. Systematic Coronary Risk Estimation chart for European populations at high cardiovascular disease risk (from 2019 ESC/EAS Guidelines for the management of dyslipidaemias (3)).

 

In fact, an older individual with excellent risk factors can have a high risk for having an ASCVD event. For example, using the AHA/ACC pooled cohort equation a 75-year-old white male with a total cholesterol of 180mg/dL, an HDL-C of 50mg/dL, a blood pressure of 120/80 mmHg, who is not diabetic, doesn’t smoke, and is on no medications still has a 10-year risk for an ASCVD event of 21.7%. A 75-year-old white female with the same risk factors also has a relatively high 10-year risk (14.1%). Using the SCORE estimator (figure 1) for a fatal CVD event it is also apparent that many older individuals, particularly males, are at high risk even when they are non-smokers with an excellent total cholesterol and blood pressure. For example, a 70-year-old male, non-smoker with a total cholesterol of 160mg/dL and systolic BP of 120 mmHg still has a 13% 10-year risk of death from CVD.

 

WHY ARE OLDER INDIVIDUALS AT HIGHER RISK FOR ASCVD?

 

It is widely recognized that atherosclerosis begins early in life and slowly progresses ultimately resulting in clinical manifestations later in life (21). Numerous studies have demonstrated the presence of atherosclerosis in young individuals (22-27). In the Bogalusa Heart Study autopsies were performed on 204 young people 2 to 39 years of age (22,28). In the coronary arteries fatty streaks were very common (50 percent at 2 to 15 years of age and 85 percent at 21 to 39 years of age). More advanced raised fibrous-plaque lesions in the coronary arteries were present in 8 percent of individuals 2 to 15 years of age and 69 percent of individuals 26 to 39 years of age. The extent of the atherosclerotic lesions correlated positively with BMI, systolic and diastolic BP, total cholesterol, LDL-C, and triglyceride levels and negatively with HDL-C levels. The extent of the atherosclerotic lesions was greatest in individuals who had multiple risk factors. The Pathobiological Determinants of Atherosclerosis in Youth [PDAY] study examined the effect of risk factors for atherosclerosis in 1079 men and 364 women 15 through 34 years of age who died due to accidents, homicide, or suicide (23,29). Atherosclerosis of the aorta and right coronary artery was measured and increased with age, LDL-C levels, glycohemoglobin levels, BMI, and smoking while HDL-C levels were negatively associated with the extent of fatty streaks and raised lesions in the aorta and right coronary artery. Finally, in a study of US service members (mean age 25.9 years; range 18-59 years; 98.3% male) who died of combat or unintentional injuries (n= 3832) the effect of risk factors on coronary atherosclerosis was determined (27). Atherosclerosis prevalence was increased by age, dyslipidemia, hypertension, and obesity. Taken together these studies clearly demonstrate that atherosclerosis begins early in life with the prevalence increasing with age and the extent and onset of lesions is influenced by risk factors, including dyslipidemia.

 

Moreover, the presence of risk factors early in life is associated with an increase in atherosclerosis later in life (30-32). A meta-analysis that included 4380 participants from 4 prospective studies that collected cardiovascular risk factor data during childhood (age 3 to 18 years) and measured carotid intima-media thickness (CIMT) in adulthood (age 20 to 45 years) reported that total cholesterol, triglycerides, BP, and BMI measured in childhood were predictive of elevated CIMT in adults (33). Additionally, increased LDL-C and/or decreased HDL-C during adolescence predict an increase in CIMT later in life (34). Importantly, an increased total cholesterol or BP early in life also predicted an increased risk of developing cardiovascular disease later in life (35-38).

 

Genetic studies have further illustrated the key role of risk factors and duration of exposure to the risk factor as key variables determining the time when clinical manifestations of ASCVD occur. In patients with homozygous familial hypercholesterolemia (FH) LDL-C are markedly elevated and cardiovascular events can occur early in life. Greater than 50% of untreated patients with homozygous FH develop clinically significant ASCVD by the age of 30 and cardiovascular events can occur before age 10 in some patients (39). In patients with heterozygous FH LDL-C levels are elevated but not to the levels seen with homozygous FH and cardiovascular events occur later in life but still at a relatively younger age. Untreated males with heterozygous FH have a 50% risk for a fatal or non-fatal myocardial infarction by 50 years of age whereas untreated females have a 30% chance by age 60 (39). Conversely, individuals with genetic variants in PCSK9, HMG-CoA reductase, LDL receptor, NPC1L1, or ATP citrate lyase that lead to a decrease in LDL-C levels have a reduced risk of developing cardiovascular events (40,41). The relationship between genetic disorders that alter LDL-C levels and the time to develop clinical cardiovascular events is illustrated in figure 2. The figure clearly illustrates that the age when one clinically manifests ASCVD depends on the level of LDL-C. With very high LDL-C levels clinical events occur early in life and with low LDL-C levels events will occur at an older age leading to the concept of LDL years.

 

Figure 2. Relationship between cumulative LDL-C exposure and age of developing cardiovascular disease. (from (41)).

 

The degree and duration of other risk factors also seems to play a role in when the clinical manifestations of ASCVD are expressed. For example, for cigarette smoking, cigarettes/day, smoking duration, and pack-years all increase the risk of cardiovascular disease (42). Interestingly smoking fewer cigarettes/day for a longer duration was more deleterious than smoking more cigarettes/day for a shorter duration (42,43). Additionally, while smoking cessation lowers the risk of ASCVD events an increased risk persists for decades after smoking cessation (44). These observations suggest that the effect of smoking is related to the number of cigarettes smoked and the duration of the smoking (i.e., pack years). Similarly, in patients with diabetes glycemic control and duration of diabetes influences the development of ASCVD complications (45-48). At any given age, a 10-year longer diabetes duration was associated with a 1.1-1.5-fold increased risk of stroke and 1.5-2.0-fold increased risk of MI (45).

 

Thus, ASCVD begins early in life and progresses until it leads to clinical events such as a myocardial infarction or stroke later in life. The age that one develops clinical manifestations of ASCVD is dependent on the severity of individual risk factors, the number of risk factors, and the duration of exposure to the risk factors. Elderly individuals have a long exposure to risk factors so even when the risk factors are relatively modest the cumulative effects can be sufficient to result in clinical ASCVD events. This explains why age is such a key variable in determining the risk of developing an ASCVD event.

 

DOES LIPID LOWERING REDUCE EVENTS IN THE ELDERLY

 

Below we discuss lipid lowering drug studies that report the effect on cardiovascular outcomes that are relevant to clinical decisions in elderly individuals. For additional and more detailed information on lipid lowering cardiovascular outcome studies see the Endotext chapters on “Cholesterol Lowering Drugs” and “Triglyceride Lowering Drugs” (49,50).

 

Statins

 

Few statin studies have focused on lowering LDL-C in elderly patients, which we define as individuals greater than 75 years of age. The Prosper Trial determined the effect of pravastatin 40mg/day (n= 2891) vs. placebo (n= 2913) on cardiovascular events in older subjects (70-82 years of age) with pre-existing vascular disease or who were at high risk for vascular disease (51). The average age in this trial was 75 years of age and approximately 45% had cardiovascular disease. As expected, pravastatin treatment lowered LDL-C by 34% compared to the placebo group. The primary end point was coronary death, non-fatal myocardial infarction, and fatal or non-fatal stroke, which was reduced by 15% (HR 0.85, 95% CI 0.74-0.97, p=0.014). However, in the individuals without pre-existing cardiovascular disease pravastatin did not significantly reduce ASCVD events (HR 0.94; CI 0.77–1.15). In contrast, in individuals with cardiovascular disease pravastatin therapy significantly reduced ASCVD events (HR 0.78, CI 0.66–0.93). Thus, this study demonstrated benefits of statin therapy in the elderly with cardiovascular disease but failed to demonstrate benefit in the elderly without cardiovascular disease.

 

A meta-analysis by the Cholesterol Treatment Trialists of 28 trials with 14,483 of 186,854 found a reduction in LDL-C levels with statin therapy that was similar in the participants ≥75 years of age compared to younger individuals. Moreover, statin therapy resulted in a decrease in cardiovascular events in all age groups including participants ≥75 years of age (Figure 3) (52). In the participants ≥75 there was a 13% reduction in ASCVD events per 39mg/dL decrease in LDL-C (RR 0.87; 95% CI 0.77–0.99). This analysis included four trials done exclusively among people with heart failure or receiving renal dialysis, for whom statin therapy shows little or no benefit (50). A second analysis was performed after elimination of these four trials and there was an 18% reduction in ASCVD events per 39mg/dL decrease in LDL-C (RR 0.82; 95%CI 0.70-0.95). Similar to the Prosper Trial a decrease in ASCVD events was clearly demonstrated in individuals with pre-existing cardiovascular disease (secondary prevention) but in individuals without pre-existing cardiovascular disease (primary prevention) the decrease in ASCVD events was not statistically significant (Figure 4- analysis included all studies). After excluding the trials in patients with heart failure or receiving renal dialysis, statin therapy reduced major ASCVD events by 26% per 39mg/dL decrease in LDL-C (RR 0.74; 95% CI0.60 − 0.91) in patients with pre-existing cardiovascular disease but only by 8% in patients without pre-existing cardiovascular disease (RR 0.92; 95%CI 0.72 − 1.16).

 

Figure 3. Effect of Statin Treatment on Major Vascular Events. Modified from (44).

Figure 4. Effect of Statin Treatment on Major Vascular Events in Individuals With and Without Pre-Existing Cardiovascular Disease. Modified from (44).

 

A statin trial not included in the Cholesterol Treatment Trialists meta-analysis was carried out in patients with an ischemic stroke or a transient ischemic attack who were treated with statins and/or ezetimibe with a target LDL-C level < than 70mg/dL (n= 1430) or an LDL-C 90mg/dL to 110mg/dL (n= 1430) (53). The primary end point was ischemic stroke, myocardial infarction, new symptoms leading to urgent coronary or carotid revascularization, or death from cardiovascular causes. The mean LDL-C level was 65mg/dL in the lower-target group and 96 mg/dL in the higher-target group. After median of 3.5 years the primary end point occurred in 8.5% of the patients in the lower-target group and 10.9% of the patients in the higher target group (HR 0.78; 95% CI 0.61 to 0.98; P=0.04). In patients < 65 years of age only a 7% decrease in the primary end point was observed (HR 0.93; 95%CI 0.63–1.36) whereas more impressive decreases in the primary endpoint were observed in patients 65-75 years of age (37% decrease; HR 0.63 95% CI 0.42–0.95) and > 75 years of age (23% decrease; HR 0.77; 95%CI 0.49–1.22). These results are consistent with the Cholesterol Treatment Trialists meta-analysis demonstrating that elderly patients with pre-existing cardiovascular disease lowering LDL-C levels reduces ASCVD events.

 

There are observational studies demonstrating that statin treatment for the primary prevention of ASCVD is effective in older patients (54-59). For example, in US veterans ≥75 years of age and free of ASCVD at baseline, new statin use was significantly associated with a lower risk of ASCVD events (HR 0.92; 95% CI 0.91-0.94) and cardiovascular mortality (HR 0.80; 95% CI 0.78-0.81) when compared to statin nonusers (55). Similarly, in a Danish nationwide cohort initiation of statin therapy in patients > 70 years of age without pre-existing cardiovascular disease there was a 23% lower risk of major vascular events per 39mg/dL decrease in LDL-C (HR 0.77; 95% CI 0.71-0.83), which was similar to what was observed in younger individuals (54). Finally, in nursing home residents without ASCVD statin use reduced all-cause mortality in individuals with and without dementia (59). These observational studies while suggestive of a benefit of statin therapy for primary prevention in older individuals cannot provide definitive proof as there is always the possibility of residual confounding. Nevertheless, they provide additional support that statin therapy provides benefits in elderly patients without pre-existing cardiovascular disease.

 

Thus, in older patients with cardiovascular disease lowering LDL-C levels with statins clearly reduces cardiovascular events but in older patients without cardiovascular disease the data demonstrating that statins reduce cardiovascular events is less robust but suggests a reduction in ASCVD events.

 

Ezetimibe

 

IMPROVE-IT TRIAL

 

The IMPROVE-IT Trial tested whether the addition of ezetimibe to statin therapy would provide an additional beneficial effect in patients with the acute coronary syndrome (60). The IMPROVE-IT Trial was a large trial with over 18,000 patients randomized to simvastatin 40mg vs. simvastatin 40mg + ezetimibe 10mg per day. On treatment LDL-C levels were 70mg/dL in the statin alone group vs. 54mg/dL in the statin + ezetimibe group. There was a small but significant 6.4% decrease in major cardiovascular events (cardiovascular death, MI, documented unstable angina requiring rehospitalization, coronary revascularization, or stroke) in the statin + ezetimibe group (HR 0.936; 95% CI 0.887-0.988; p=0.016). Cardiovascular death, non-fatal MI, or non-fatal stroke were reduced by 10% (HR 0.90; 95% CI 0.84-0.97; p=0.003). The effect of age on the benefits of statin + ezetimibe therapy is shown in figure 5. In elderly individuals (≥ 75 years of age) the combination of ezetimibe and simvastatin reduced ASCVD events.

 

Figure 5. Primary endpoint in the IMPROVE-IT trial in different age groups. Modified from (60).

 

EWTOPIA 75 TRIAL

 

EWTOPIA 75 was a multicenter, randomized trial in Japan that examined the preventive efficacy of ezetimibe for patients aged ≥75 years (mean age 80.6 years), with elevated LDL-C (≥140 mg/dL) without a history of coronary artery disease (primary prevention) who were not taking lipid lowering drugs (61). Patients were randomized to ezetimibe 10mg (n=1,716) or usual care (n=1,695) and followed for 4.1 years. The primary outcome was a composite of sudden cardiac death, myocardial infarction, coronary revascularization, or stroke. In the ezetimibe group LDL-C was decreased by 25.9% and non-HDL-C by 23.1% while in the usual care group LDL-C was decreased by 18.5% and non-HDL-C by 16.5% (p<0.001 for both lipid parameters). By the end of the trial 9.6% of the patients in the usual care group and 2.1% of the ezetimibe group were taking statins. Ezetimibe reduced the incidence of the primary outcome by 34% (HR 0.66; P=0.002). Additionally, composite cardiac events were reduced by 60% (HR 0.60; P=0.039) and coronary revascularization by 62% (HR 0.38; P=0.007) in the ezetimibe group vs. the control group. There was no difference in the incidence of stroke or all-cause mortality between the groups. It should be noted that the reduction in cardiovascular events was much greater than one would expect based on the absolute difference in LDL-C levels (121mg/dL in ezetimibe group vs. 132mg/dL in usual care group). As stated by the authors “Given the open-label nature of the trial, its premature termination, and issues with follow-up, the magnitude of benefit observed should be interpreted with caution.” Nevertheless, this study suggests that lowering LDL-C in elderly individuals without cardiovascular disease can reduce ASCVD events.

 

RACING TRIAL

 

The RACING trial was a randomized, open-label trial in patients with ASCVD carried out in South Korea (62). Patients were randomly assigned to either rosuvastatin 10 mg with ezetimibe 10 mg (n= 1894) or rosuvastatin 20 mg (n= 1886). The primary endpoint was cardiovascular death, major cardiovascular events, or non-fatal stroke. The median LDL-C level during the study was 58mg/dL in the combination therapy group and 66mg/dL in the statin monotherapy group (p<0.0001). The primary endpoint occurred in 9.1% of the patients in the combination therapy group and 9.9% of the patients in the high-intensity statin monotherapy group (non-inferior). Non-inferiority was observed in patients with baseline LDL-C levels < 100mg/dL and >100mg/dL (63).

 

In the RACING trial 574 participants (15.2%) were aged ≥75 years and there was no difference in the primary endpoint between the combination therapy group and the high-intensity statin monotherapy group in these elderly participants (64). However, in participants ≥75 years of age moderate-intensity statin with ezetimibe combination therapy was associated with lower rates of drug related intolerance with drug discontinuation or dose reduction (2.3% vs 7.2%; P = 0.010).

 

This study demonstrates that moderate intensity statin plus ezetimibe was non-inferior to high-intensity statin therapy with regards to cardiovascular death, major cardiovascular events, or non-fatal stroke. The lower prevalence of discontinuation or dose reduction caused by intolerance to the study drug was seen with combination therapy indicating that using a moderate intensity dose of a statin plus ezetimibe is a useful strategy in patients that do not tolerate high intensity statin therapy or where there are concerns about statin toxicity with high doses.

 

PCSK9 Inhibitors

 

FOURIER TRIAL

 

The FOURIER trial was a randomized, double-blind, placebo-controlled trial of evolocumab vs. placebo in 27,564 patients with ASCVD and an LDL-C level of 70 mg/dL or higher who were on statin therapy (65). The primary end point was cardiovascular death, myocardial infarction, stroke, hospitalization for unstable angina, or coronary revascularization and the key secondary end point was cardiovascular death, myocardial infarction, or stroke. The median duration of follow-up was 2.2 years. Baseline LDL-C levels were 92mg/dL and evolocumab resulted in a 59% decrease in LDL levels (LDL-C level on treatment approximately 30mg/dL). In this trial 6233 of the participants were > 69 years of age and the decrease in LDL was similar in participants > 69 years of age and younger individuals (66). A 14% reduction in the primary endpoint (HR 0.86; 95% CI 0.74–0.99) and a 18% reduction in the secondary endpoint (HR 0.82; 95% CI 0.69–0.98) was observed in the participants > 69 years of age, which was similar to the decreases seen in younger individuals (66). The effect of treatment with evolocumab on the primary and secondary endpoint in specific age groups is shown in table 3 (66). These results demonstrate that lowering LDL-C with a PCSK9 inhibitor decreases ASCVD events in elderly patients.

 

Table 3. Effect of Evolocumab Treatment on Cardiovascular Outcomes in Different Age Groups

 

< 65

65-75

>75

Primary Endpoint

HR 0.86; 95%CI 0.78–0.94

HR 0.86; 95%CI 0.76–0.97

HR 0.78; 95%CI 0.60–1.02

Secondary Endpoint

HR 0.79; 95%CI 0.69–0.90

HR 0.82; 95%CI 0.70–0.95

HR 0.78 95%CI 0.58–1.04

For the primary endpoint the P interaction for the three age groups = 0.84

For the secondary endpoint the P interaction for the three age groups = 0.94.  

 

ODYSSEY TRIAL

 

The ODYSSEY trial was a multicenter, randomized, double-blind, placebo-controlled trial involving 18,924 patients who had an acute coronary syndrome 1 to 12 months earlier, an LDL-C level of at least 70 mg/dL, a non-HDL-C level of at least 100 mg/dL, or an apolipoprotein B level of at least 80 mg/dL while on high intensity statin therapy or the maximum tolerated statin dose (67). Patients were randomly assigned to receive alirocumab 75 mg every 2 weeks or matching placebo. The dose of alirocumab was adjusted to target an LDL-C level of 25 to 50 mg/dL. The primary end point was a composite of death from coronary heart disease, nonfatal myocardial infarction, fatal or nonfatal ischemic stroke, or unstable angina requiring hospitalization. In this trial 5084 (26.9%) individuals were ≥ 65 years of age, 1007 (5.3%) ≥ 75 years of age, and 42 (0.2%) ≥ 85 years of age (68). The baseline and decrease in LDL-C levels were similar in participants ≥65 years of age and those <65 years of age (LDL-C at baseline approximately 94mg/dL and after 4 months of treatment approximately 40mg/dL) (67,68). In the individuals ≥ 65 years of age there was a 22% decrease in the primary endpoint (HR 0.78; 95% CI 0.68–0.91) and in those < 65 years of age a 11% decrease (HR 0.89; 95% CI 0.80–1.00) (68). The secondary endpoint of all-cause death, myocardial infarction, or ischemic stroke was also reduced in the ≥ 65 participants (HR 0.78; 95% CI 0.68–0.90) and < 65 participants (HR 0.91; 0.82–1.02) (68). In participants ≥ 75 years of age the primary endpoint was reduced by 15% (HR 0.85; 95% CI 0.64–1.13) (68). When plotted as a continuous variable the relative benefit of alirocumab over placebo on the primary endpoint was consistent across the entire age range (figure 6).

 

Figure 6. Relative benefit of alirocumab at various ages. Modified from reference (68).

These two studies demonstrate that lowering LDL-C with a PCSK9 inhibitor decreases ASCVD events in elderly patients with pre-existing cardiovascular disease.

 

Bempedoic Acid

 

The CLEAR Outcome trial was a double-blind, randomized, placebo-controlled trial involving patients with cardiovascular disease or at high risk of cardiovascular disease who were unable or unwilling to take statins ("statin-intolerant" patients) (69). The patients were randomized to bempedoic acid 180 mg (n= 6992) or placebo (n= 6978) and the median duration of follow-up was 40.6 months. In this trial 44% of the participants were between ≥65 to < 75 years of age and 15% were ≥ 75 years of age. As expected, LDL-C levels were decreased by 21% in the bempedoic group compared to placebo (29mg/dL difference). The primary endpoint, death from cardiovascular causes, nonfatal myocardial infarction, nonfatal stroke, or coronary revascularization, was reduced by 13% in the bempedoic acid group (HR 0.87; 95% CI 0.79- 0.96; P = 0.004). The effect of age on the primary endpoint is shown in table 4.

 

Table 4. Effect of Bempedoic on Cardiovascular Outcomes in Different Age Groups

< 65

HR 0.87; 95% CI 0.74-1.02

≥65-<75

HR 0.83, 95% CI 0.72-0.96

≥ 75

HR 0.95, 95% CI 0.77-1.16

Interaction P value = 0.60

 

Niacin and Fibrates

 

Because of the robust effect of statins in lowering LDL-C levels and cardiovascular events recent trials of both niacin and fibrates have focused on the addition of these lipid lowering drugs to statin therapy. The AIM-HIGH trial was designed to determine if the addition of Niaspan, an extended-release form of niacin, to aggressive statin therapy would result in a further reduction in ASCVD events in patients with pre-existing cardiovascular disease (70) while the HPS 2 Thrive trial determined the effect of adding extended-release niacin (2000mg/day) combined with laropiprant, a prostaglandin D2 receptor antagonist, to statin therapy on ASCVD events in  patients with pre-existing vascular disease (71). Unfortunately, both of these trials failed to demonstrate a decrease in ASCVD events with the addition of niacin to statin therapy. The absence of benefit and increased side effects from niacin therapy has markedly reduced enthusiasm for treating patients with niacin to reduce ASCVD event. For additional details on these two studies and other niacin cardiovascular outcome studies see the Endotext chapter “Triglyceride Lowering Drugs” (49).

 

The ACCORD-LIPID Trial was designed to determine if the addition of fenofibrate to aggressive statin therapy in patients with pre-existing cardiovascular disease or at high risk for developing cardiovascular disease would result in a further reduction in cardiovascular disease in patients with Type 2 diabetes (72). The PROMINENT trial determined whether pemafibrate, a new selective PPAR-alpha activator, in patients on statin therapy with diabetes and pre-existing cardiovascular disease or at high risk for developing cardiovascular disease would reduce cardiovascular events (73). Disappointingly, neither trial demonstrated benefits from adding a fibrate to statin therapy. For additional details on these two studies and other fibrate ASCVD outcome studies see the Endotext chapter “Triglyceride Lowering Drugs” (49).

 

Thus, there is currently little enthusiasm for adding either niacin or a fibrate to statin therapy to reduce ASCVD events. One should recognize that like all studies these trials have limitations, that are discussed in detail in reference (49), and it is possible that future trials could resurrect the use of niacin and/or fibrates for decreasing ASCVD.

 

Omega-3-Fatty Acids (Fish Oil)

 

Numerous studies have determined the effect of low dose fish oil (< 1 gram per day) on ASCVD and found that they do not consistently reduce the risk of cardiovascular disease (49). Described below are ASCVD outcome studies that have used higher doses.

 

JAPAN EPA LIPID INTERVENTION STUDY (JELIS)

 

JELIS was an open label study without a placebo in patients with total cholesterol levels > 254mg/dL with cardiovascular disease (n= 3,664) or without cardiovascular disease (n=14,981) who were randomly assigned to be treated with 1800 mg of EPA (Vascepa) + statin (n=9,326) or statin alone (n= 9,319) with a 5-year follow-up (74). The primary endpoint was any major coronary event, including sudden cardiac death, fatal and non-fatal myocardial infarction, and other non-fatal events including unstable angina pectoris, angioplasty, stenting, or coronary artery bypass grafting. Total cholesterol, LDL-C, and HDL-C levels were similar in the two groups but plasma TGs were modestly decreased in the EPA treated group (5% decrease in EPA group compared to controls; p = 0.0001). In the EPA plus statin group the primary endpoint occurred in 2.8% of the patients vs. 3.5% of the patients in the statin alone group (19% decrease; p = 0.011). In participants < 61 years of age the primary endpoint was reduced by 24% (HR 0.76; 95%CI 0.57–1.00) while in individuals ≥ 61 years of age the primary endpoint was reduced by 16% (HR 0.84; 95% CI 0.68–1.02; p interaction 0.57). Unstable angina and non-fatal coronary events were significantly reduced in the EPA plus statin group but in this study sudden cardiac death and coronary death did not differ between groups. Unstable angina was the main component contributing to the primary endpoint and this is a more subjective endpoint than other endpoints such as a myocardial infarction, stroke, or cardiovascular death. A subjective endpoint has the potential to be an unreliable endpoint in an open label study and is a limitation of the JELIS Study. Unfortunately, we do not have information on elderly patients (≥ 75 years).

 

REDUCE-IT

 

REDUCE-IT was a randomized, double-blind trial of 2 grams twice per day of EPA ethyl ester (icosapent ethyl) (Vascepa) vs. mineral oil placebo in 8,179 patients with hypertriglyceridemia (135mg/dL to 499mg/dL) and established cardiovascular disease or high cardiovascular disease risk (diabetes plus one risk factor) who were on stable statin therapy (75). The primary end point was a composite of cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, coronary revascularization, or unstable angina. At baseline, the median LDL-C level was 75.0 mg/dL, HDL-C level was 40.0 mg/dL, and TG level was 216.0 mg/dL. The median change in TG level from baseline to 1 year was a decrease of 18.3% (−39.0 mg/dL) in the EPA group and an increase of 2.2% (4.5 mg/dL) in the placebo group. After a median of 4.9 years the primary end-point occurred in 17.2% of the patients in the EPA group vs. 22.0% of the patients in the placebo group (HR 0.75; P<0.001), indicating a 25% decrease in events. In participants <65 years of age the primary end point was reduced by 35% (HR 0.65; 95% CI 0.54–0.78) while in participants ≥ 65 years of age the primary end point was reduced by 18% (HR 0.82; 95%CI 0.70–0.97; P Value for Interaction 0.06). The cardiovascular benefits of EPA were similar across baseline levels of TGs (<150, ≥150 to <200, and ≥200 mg per deciliter). Moreover, the cardiovascular benefits of EPA appeared to occur irrespective of the attained TG level at 1 year (≥150 or <150 mg/dL), suggesting that the ASCVD risk reduction was not associated with attainment of a normal TG level. Unfortunately, information on an elderly subgroup (≥ 75 years) is not available. 

 

It should be noted that in this trial mineral oil was used as the placebo. In the placebo group the LDL-C, non-HDL-C, and hsCRP levels were increased compared to the EPA group during the trial (LDL-C 96mg/dL vs 85mg/dL; non-HDL-C 130mg/dL vs. 113mg/dL; hsCRP 2.8mg/L vs. 1.8mg/L). The impact of these adverse changes on clinical outcomes is uncertain and whether they contributed to the apparent beneficial effects observed in the individuals treated with EPA is unknown.

 

STRENGTH TRIAL

 

The STRENGTH Trial was a double-blind, randomized, trial comparing 4 grams per day of a carboxylic acid formulation of omega-3 fatty acids (EPA and DHA; Epanova) (n = 6,539)) vs. corn oil placebo (n = 6539) in statin-treated participants with high cardiovascular risk, hypertriglyceridemia, and low levels of HDL-C (76). Approximately 55% of patients had established cardiovascular disease and approximately 70% had diabetes. Median LDL-C level was 75.0 mg/dL, median TG level was 240 mg/dL, and median HDL-C level was 36 mg/dL. There were minimal differences in the change in LDL-C and HDL-C levels between the treated and placebo groups after treatment for 12 months but as expected there was a greater reduction in TG levels in the group treated with omega-3-fatty acids (−19.0% vs −0.9%). The primary endpoint was a composite of cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, coronary revascularization, or unstable angina requiring hospitalization which occurred in 12.0% of individuals treated with omega-3 CA vs. 12.2% treated with corn oil (HR 0.99; P = .84). There were no significant differences between the treatment groups with regard to the risk of the individual components of the primary end point over the 3-4 years of the study. Thus, in contrast to the JELIS and REDUCE-IT trials the STRENGTH trial did not demonstrate a benefit of treatment with a mixture of omega-3-fatty acids (EPA + DHA).

 

OMEMI TRIAL

 

The OMEMI trial was a randomized trial of 1.8 grams per day of omega-3-fatty acids (930 mg EPA and 660 mg DHA) (n= 505) vs. corn oil placebo (n= 509) in patients aged 70 to 82 years with a recent myocardial infarction (2-8 weeks) (77). Baseline LDL-C was approximately 76mg/dL, HDL-C was 49mg/dL, and TGs 110mg/dL. The primary endpoint was a composite of nonfatal myocardial infarction, unscheduled revascularization, stroke, all-cause death, and heart failure hospitalization after 2 years of follow-up. The primary endpoint occurred in 21.4% of patients on omega-3-fatty acids vs. 20.0% on placebo (HR 1.08; P=0.60). TGs levels decreased 8.1% in the omega-3-fatty acid group and increased 5.1% in the placebo group (between group difference 13.2%; P<0.001) while changes in LDL-C were minimal in both groups. Thus, similar to the STRENGTH trial no benefits on cardiovascular disease were observed with EPA + DHA treatment.

 

SUMMARY

 

  • High dose EPA (JELIS and REDUCE-IT) reduced ASCVD outcomes while high dose EPA+DHA (STENGTH and OMEMI) did not decrease ASCVD outcomes.
  • The decrease in TG levels is not a major contributor to the beneficial effect of high dose EPA as the combination of high dose EPA+DHA lowers TG levels to the same degree as EPA alone without benefit. Additionally, the JELIS trial only lowered TG levels by 5% but nevertheless reduced ASCVD events. It is likely that the beneficial effects of EPA seen in the JELIS and REDUCE-IT trials are multifactorial with TG lowering making only a small contribution to the decrease in cardiovascular disease. Other actions of EPA, such as decreasing platelet function, anti-inflammation, decreasing lipid oxidation, stabilizing membranes, etc. could account for or contribute to the reduction in ASCVD events (78).
  • Whether EPA has special properties that resulted in the reduction in ASCVD events in the REDUCE-IT trial or there were flaws in the trial design (i.e., the use of mineral oil as the placebo) is uncertain and debated. It should be noted that in the REDUCE-IT trial LDL-C and non-HDL-C levels were increased by approximately 10% in the mineral oil placebo group (75). Additionally, Apo B levels were increased by 7% (6mg/dL) by mineral oil (75). Finally, an increase in hsCRP (20-30%) and other biomarkers of atherosclerosis (oxidized LDL-C, IL-6, IL-1 beta, and lipoprotein-associated phospholipase A2) were noted in the mineral oil group (75,79). In the STRENGTH trial there were no differences in LDL-C, Non-HDL-C, HDL-C, Apo B, or hsCRP levels between the treated vs. placebo groups (76). Whether EPA has special properties compared to DHA leading to a reduction in cardiovascular events or the mineral oil placebo resulted in adverse changes increasing ASCVD in the placebo resulting in an artifactual decrease in the EPA group is debated (80,81). Ideally, another large randomized ASCVD trial with EPA ethyl ester (icosapent ethyl) (Vascepa) using a placebo other than mineral oil would help resolve this controversy. In the meantime, clinicians will need to use their clinical judgement on whether to treat patients with modest elevations in TG levels with EPA (icosapent ethyl; Vascepa) balancing the potential benefits of treatment vs. the potential side effects.

 

Summary of Lipid Lowering Drug Studies

 

The above results clearly demonstrate that lowering LDL-C levels with statins, ezetimibe, or PCSK 9 monoclonal antibodies will reduce ASCVD events in elderly patients (≥ 75 years of age) with pre-existing cardiovascular disease. In elderly patients without cardiovascular disease (primary prevention) the available data does not definitively demonstrate a decrease in ASCVD events with statin or ezetimibe therapy but is suggestive of a benefit (note there are no primary prevention trials with PCSK9 inhibitors). Additional data is required to determine if bempedoic acid and icosapent ethyl reduce ASCVD events in patients ≥ 75 years of age.

 

Studies in Progress

 

Studies are currently underway to provide definitive information on whether statin therapy is beneficial as primary prevention in the elderly. STAREE (NCT02099123) is a multicenter randomized trial in Australia of atorvastatin 40mg vs. placebo in adults ≥ 70 years of age without cardiovascular disease and PREVENTABLE (NCT04262206) is a multicenter randomized trial in the USA of atorvastatin vs. placebo in adults ≥ 75 years of age without cardiovascular disease (82,83). Other trials in the elderly that are in progress include SCOPE (NCT03770312) which is a multicenter randomized trial in Korea of low intensity vs. high intensity statin therapy in adults 76-85 years of age without CVD and SITE (Statins In The Elderly) (NCT02547883) which is a trial in France of patients ≥ 75 years of age on statin therapy who will be randomized to continue statin therapy or stop statin therapy.

 

SIDE EFFECTS OF LIPID LOWERING DRUGS

 

In this section we will describe the potential side effects of lipid lowering drugs with an emphasis on side effects likely to be seen in the elderly. Elderly patients may be more susceptible to side effects due to decreased renal function, decreased drug metabolism by the liver, polypharmacy leading to drug interactions, and co-morbidities. For a detailed discussion of the side effects of lipid lowering drugs see the Endotext chapters entitled “Cholesterol Lowering Drugs” and “Triglyceride Lowering Drugs” (49,50).

 

Statins

 

An umbrella review of meta-analyses of observational studies and randomized controlled trials examined 278 unique non-CVD outcomes from 112 meta-analyses of observational studies and 144 meta-analyses of RCTs and found that the only adverse effects associated with statin therapy were the development of diabetes and muscle disorders (84). For a detailed discussion of the side effects of statin therapy a scientific statement from the American Heart Association provides a comprehensive review (85).

 

DIABETES

 

After many years of statin use it was recognized that statins increase the risk of developing diabetes. In a meta-analysis of 13 trials with over 90,000 subjects, there was a 9% increase in the incidence of diabetes during follow-up among subjects receiving statin therapy (86). All statins appear to increase the risk of developing diabetes. In comparisons of intensive vs. moderate statin therapy, Preiss et al observed that patients treated with intensive statin therapy had a 12% greater risk of developing diabetes compared to subjects treated with moderate dose statin therapy (87). Older subjects, obese subjects, and subjects with high glucose levels were at a higher risk of developing diabetes while on statin therapy. In the Prosper trial in elderly subjects (70-82 years of age; average age 75), diabetes developed in 6.6% of patients treated with pravastatin vs. 5.1% of patients in the placebo group (51). Thus, statins may be unmasking and accelerating the development of diabetes that would have occurred naturally in these subjects at some point in time. In patients without risk factors for developing diabetes, treatment with statins does not appear to greatly increase the risk of developing diabetes.

 

In balancing the benefits and risks of statin therapy it is important to recognize that an increase in plasma glucose levels is a surrogate marker for an increased risk of developing micro and macrovascular disease (i.e., an increase in plasma glucose per se is not an event but rather increases the risk of future events). In contrast, statin therapy is preventing actual clinical events that cause morbidity and mortality. Furthermore, it may take many years for an elevated blood glucose to induce diabetic complications while the reduction in cardiovascular events with statin therapy occurs relatively quickly (after one-year benefits are seen). Finally, the number of patients needed to treat with statins to avoid one cardiovascular event is much lower (10-20 depending on the type of patient) than the number of patients needed to treat to cause one patient to develop diabetes (100–200 for one extra case of diabetes) (88). Patients on statin therapy, particularly those with risk factors for the development of diabetes, should be periodically screened for the development of diabetes with measurement of fasting glucose and/or HbA1c levels.

 

COGNITIVE DYSFUNCTION

 

Several randomized clinical trials have examined the effect of statin therapy on cognitive function and have not indicated any increased risk (for review see (89-92)). The Prosper Trial was designed to determine whether statin therapy will reduce cardiovascular disease in older subjects (age 70-82) (51). In this trial cognitive function was assessed repeatedly and no difference in cognitive decline was found in subjects treated with pravastatin compared to placebo (51,93). In the Heart Protection Study over 20,000 patients were randomized to simvastatin 40mg or placebo and again no significant differences in cognitive function was observed between the statin vs. placebo group (94). Additionally, a Cochrane review examined the effect of statin therapy in patients with established dementia and identified 4 studies with 1154 participants (95). In this analysis no benefit or harm of statin therapy on cognitive function could be demonstrated in this high-risk group of patients. Thus, randomized clinical trials do not indicate a significant association between statins and cognitive function.

 

MUSCLE

 

The most common side effect of statin therapy is muscle symptoms and many patients will discontinue the use of statins due to muscle symptoms. These can range from life threatening rhabdomyolysis, which is very rare, to myalgias, which are a common complaint (96). The risk of serious muscle disorders due to statin therapy is very small, particularly if one is aware of the potential drug interactions that increase the risk. In a case-control study with a cohort of 252,460 new users of lipid-lowering medications in U.S. health plans 21 cases of rhabdomyolysis were compared to 200 controls without rhabdomyolysis (97). Statin users >65 years of age had four times the risk of hospitalization for rhabdomyolysis than those under age 65.

The Cholesterol Treatment Trialists analyzed individual participant data on the development of muscle symptoms from 19 double-blind trials of statin versus placebo with 123,940 participants and four double-blind trials of a more intensive vs. a less intensive statin regimen with 30,724 participants (98). After a median follow-up of 4.3 years 27.1% of the individuals taking a statin vs. 26.6% on placebo reported muscle pain or weakness representing a 3% increase greater than placebo (risk ratio- 1.03; 95% CI 1.01-1.06) (Table 5). The specific muscle symptoms caused by statin therapy, myalgia, muscle cramps or spasm, limb pain, other musculoskeletal pain, or muscle fatigue or weakness were similar to those caused by placebo. The slight increase in muscle symptoms in the statin treated individuals was manifest in the first year of therapy but in the later years muscle symptoms were similar in the statin treated and placebo groups. The relative risk of statin induced muscle symptoms was greater in women than men. Intensive statin treatment with 40-80 mg atorvastatin or 20-40 mg rosuvastatin resulted in a higher risk of muscle symptoms than less intensive or moderate-intensity regimens but different statins at equivalent LDL-C lowering doses had similar effects on muscle symptoms. As shown in figure 7 muscle pain or weakness was slightly increased in patients > 65 years of age and similar in patients > 65 and ≤ 75 and those > 75 years of age. It should be noted that in individuals > 75 years of age the occurrence of muscle pain or weakness occurred in 39.6% of the individuals on the placebo, demonstrating the very high occurrence of muscle symptoms in this age group.

 

This study demonstrates that there is a small increase in muscle symptoms that primarily manifests in the first year of therapy. Statin therapy caused approximately 11 additional complaints of muscle pain or weakness per 1000 patients during the first year, but little excess in later years. Of particularly note is that 26.6% of patients taking a placebo had muscle symptoms demonstrating a very high frequency of this clinical complaint (even higher in patients > 75). Given the high prevalence of muscle complaints and the small increase attributed to statins it is very difficult to determine if a muscle complaint is actually due to the statin, which presents great clinical difficulties in patient management.

 

Table 5. Effect of Statin vs. Placebo on Muscle Symptoms

Symptom

Statin Events

Placebo Events

RR (95% CI)

Myalgia

12.0%

11.7%

1·03 (0·99–1·08)

Other musculoskeletal pain

13.3

13.0

1·03 (0·99–1·08)

Any muscle pain

26.9%

26.3%

1·03 (1·01–1·06)

Any muscle pain or weakness

27.1%

26.6%

1·03 (1·01–1·06)

 

Figure 7. Occurrence of muscle pain or weakness in different age groups in the Cholesterol Treatment Trialists meta-analysis.

 

While the results of the randomized trials suggest that muscle symptoms are not frequently induced by statin therapy, in typical clinical settings a significant percentage of patients are unable to tolerate statins due to muscle symptoms (in many studies as high as 5-25% of patients) (99-101). Additionally, when patients know that they are taking a statin they are more likely to have muscle symptoms (i.e. the nocebo effect) (102). Clinically differentiating statin induced myalgias from placebo induced myalgias is difficult, as there are no specific symptoms, signs, or biomarkers that clearly distinguish between the two. Thus, while statin induced myalgias are a real entity careful studies have shown that in the majority of patients with “statin induced muscle symptoms” the symptoms are not actually due to statin therapy. In the clinic it is difficult to be certain whether the muscle symptoms are actually due to true statin intolerance or to other factors.

 

A detailed discussion of statin induced muscle symptoms and a clinical approach to this problem is presented in the Endotext chapter entitled “Cholesterol Lowering Drugs” (50). In the section “Patients with Statin Intolerance” in this chapter we discuss the clinical approach to treating these patients.

 

Ezetimibe

 

Ezetimibe has not demonstrated significant side effects.

 

PCSK9 Monoclonal Antibodies

 

In a subgroup of patients from the FOURIER trial a prospective study of cognitive function (EBBINGHAUS Study) was carried out and no significant differences in cognitive function was observed over a median of 19 months in the PCSK9 treated vs. placebo group (103).

 

An issue of concern is whether lowering LDL-C to very low levels has the potential to cause toxicity. In a number of the PCSK9 studies a significant number of patients had LDL-C levels < 25mg/dL. For example, in the Odyssey long term study 37% of patients on alirocumab had two consecutive LDL-C levels below 25mg/dL and in the Osler long term study in patients treated with evolocumab 13% had values below 25mg/dL (104,105). In these short term PCSK9 studies, toxicity from very low LDL-C levels has not been observed. Additionally, in patients with Familial Hypobetalipoproteinemia LDL levels can be very low and these patients do not have any major disorders other than hepatic steatosis, which is not mechanistically due to low LDL-C levels (106). Similarly, there are rare individuals who are homozygous for loss of function mutations in the PCSK9 gene and they also do not appear to have major medical issues (107). Finally, in a number of statin trials and the IMPROVE-IT trial (statin + ezetimibe) there have been patients with very low LDL-C levels and an increased risk of side effects has not been consistently observed in those patients (108-111). Thus, with the limited data available there does not appear to be a major risk from markedly lowering LDL-C levels.

 

Bempedoic Acid

 

In clinical trials, 26% of bempedoic acid-treated patients with normal baseline uric acid values experienced hyperuricemia one or more times versus 9.5% in the placebo group (package insert). In the CLEAR Outcomes trial elevated uric acid levels occurred in 10.9% of the patients on bempedoic acid compared to 5.6% taking the placebo (69). Elevations in blood uric acid levels may lead to the development of gout. Gout was reported in 1.5% of patients treated with bempedoic acid vs. 0.4% of patients treated with placebo. The risk for gout attacks were higher in patients with a prior history of gout (11.2% for bempedoic acid treatment vs. 1.7% in the placebo group) (package insert). In patients with no prior history of gout only 1% of patients treated with bempedoic acid and 0.3% of the placebo group had a gouty attack (package insert). In the CLEAR Outcomes trial gout was increased in the bempedoic acid group (3.1% vs. 2.1%) (69).

 

In clinical trials tendon rupture occurred in 0.5% of patients treated with bempedoic acid vs. 0% of placebo treated patients and involved the rotator cuff (the shoulder), biceps tendon, or Achilles tendon (package insert). Tendon rupture occurred within weeks to months of starting bempedoic acid and occurred more frequently in patients over 60 years of age, in those taking corticosteroid or fluoroquinolone drugs, in patients with renal failure, and in patients with previous tendon disorders. In the CLEAR Outcomes trial tendon rupture was similar in the bempedoic acid and placebo group (bempedoic acid 1.2% and placebo 0.9%) (69).

 

Bempedoic acid treatment resulted in a mean increase in serum creatinine of 0.05 mg/dL compared to baseline. Approximately 3.8% of patients treated with bempedoic acid had BUN levels that doubled vs. 1.5% in the placebo group and about 2.2% of patients treated with bempedoic acid had creatinine values that increased by 0.5 mg/dL vs. 1.1% in the placebo group (package insert). Renal function returned to baseline when bempedoic acid was discontinued. In the CLEAR Outcomes trial renal impairment was increased in the bempedoic acid group (11.5% vs.8.6%) as was the change from baseline creatinine (0.05±0.2 mg/dL vs. 0.01±0.2 mg/dL) (69).

 

Omega-3-Fatty Acids

 

 At very high doses, omega-3-fatty acids can inhibit platelets and prolong bleeding time. However, at the recommended doses this has not been a major clinical problem but nevertheless when patients are on anti-platelet drugs one should be alert for the possibility of bleeding problems (Package Inserts for Lovaza, Vascepa, and Epanova). In the REDUCE-IT trial serious bleeding events occurred in 2.7% of the patients in the icosapent ethyl group and in 2.1% in the placebo group (P=0.06) (75). There were no fatal bleeding events in either group and the rates of hemorrhagic stroke, serious central nervous system bleeding, and serious gastrointestinal bleeding were not significantly higher in the EPA group than in the placebo group. In the STRENGHT trial any bleeding events and major bleeding events were similar in the omega-3 fatty acid group and placebo group (76).  A recent review found no evidence for discontinuing the use of omega-3 fatty acid treatment before invasive procedures or when given in combination with other agents that affect bleeding (112).

 

An increase in new-onset atrial fibrillation was observed in the REDUCE-IT trial in the patients treated with icosapent ethyl 4 grams/day (5.3% vs. 3.9%) and in the STRENGTH trial in the patients treated with omega-3-fatty acids (2.2% vs 1.3%)

 

CURRENT GUIDELINES AND LDL-C GOALS

 

This section discusses guidelines as they pertain to elderly patients.

 

2018 AHA/ACC/Multi-Society Report

 

The following summarizes the 2018 AHA/ACC guidelines (2).

 

PRIMARY PREVENTION

 

  • For individuals >75 years of age, randomized controlled trials of statin therapy do not provide strong evidence for benefit, so clinical assessment of risk status in a clinician–patient risk discussion is needed for deciding whether to continue or initiate statin treatment.
  • In individuals ≥ 75 years of age with an LDL-C level of 70 to 189mg/dL, initiating a moderate-intensity statin may be reasonable. Goal is to reduce LDL-C by 30-49% (note these guidelines recommend percent reduction rather than absolute LDL-C goals).
  • In individuals ≥ 75 years of age it may be reasonable to stop statin therapy when functional decline (physical or cognitive), multimorbidity, frailty, or reduced life-expectancy limits the potential benefits of statin therapy.
  • A shared decision-making process between clinicians and patients that individualizes decisions is indicated, with regular periodic reassessment.
  • Determining coronary artery calcium (CAC) score will help in determining which patients will benefit the most. For older adults with CAC scores of zero, the likelihood of benefits from statin therapy does not outweigh the risks. Limiting statin therapy to those with CAC scores greater than zero, combined with clinical judgment and patient preference, could provide a valuable awareness with which to inform shared decision-making.

 

SECONDARY PREVENTION

 

  • In patients ≥75 years of age with clinical ASCVD, it is reasonable to initiate moderate- or high-intensity statin therapy after evaluation of the potential for ASCVD risk reduction, adverse effects, and drug–drug interactions, as well as patient frailty and patient preferences. The goal of moderate statin therapy is to reduce LDL-C by 30-49% and the goal of high-intensity statin therapy is to reduce LDL-C by ≥ 50%. In very high-risk patients, a goal of an LDL-C < 70mg/dL and non-HDL-C < 100mg/dL is reasonable.
  • In patients ≥75 years of age who are tolerating high-intensity statin therapy, it is reasonable to continue high-intensity statin therapy after evaluation of the potential for ASCVD risk reduction, adverse effects, and drug-drug interactions, as well as patient frailty and patient preferences.

 

PATIENTS WITH DIABETES

 

  • In patients ≥ 75 years of age with diabetes mellitus and who are already on statin therapy, it is reasonable to continue statin therapy.
  • In patients ≥ 75 years of age with diabetes mellitus without cardiovascular disease it may be reasonable to start moderate statin therapy after a clinician-patient discussion of the potential benefits and risks of therapy. The goal is to decrease LDL-C by 30-49%.

 

2019 ESC/EAS Guidelines

 

The following summarizes the 2019 ESC/EAS guidelines (3).

 

  • Treatment with statins is recommended for older people with ASCVD in the same way as for younger patients.
  • Treatment with statins is recommended for primary prevention, according to the level of risk, in older people aged ≤ 75 years.
  • Initiation of statin treatment for primary prevention in older people aged >75 years may be considered, if at high-risk or above.
  • It is recommended that the statin is started at a low dose if there is significant renal impairment and/or the potential for drug interactions, and then titrated upwards to achieve LDL-C treatment goals.
  • In patients at very-high risk in primary or secondary prevention the goal is a 50% reduction in LDL-C and an LDL-C < 55mg/dL.
  • In patients at high risk in primary or secondary prevention the goal is a 50% reduction in LDL-C and an LDL-C < 70mg/dL.

The ESC/EAS criteria for very high risk and high risk are shown in table 6.

 

Table 6. ESC/EAS Criteria for Very-High Risk and High Risk for ASCVD Events

Very High Risk

Documented ASCVD or unequivocal on imaging

DM with target organ damage or at least three major risk factors, or early onset of T1DM of long duration (>20 years)

Severe CKD (eGFR <30 mL/min/1.73 m2)

A calculated SCORE ≥ 10% for 10-year risk of fatal CVD

Familial Hypercholesterolemia with ASCVD or with another major risk factor

High Risk

Markedly elevated single risk factors, in particular LDL-C >190 mg/dL or BP ≥ 180/110 mmHg

Patients with Familial Hypercholesterolemia without other major risk factors

Patients with DM without target organ damage, with DM duration ≥ 10 years, or another additional risk factor

Moderate CKD (eGFR 30-59 mL/min/1.73 m2)

A calculated SCORE ≥ 5% and <10% for 10-year risk of fatal CVD.

 

Our Approach

 

Our approach is based on concepts taken from both the ACC/AHA and ESC/EAS guidelines (i.e., we try to utilize the best ideas from each guideline). There are several general principles regarding lipid lowering therapy that should be considered in deciding who to treat (113).

 

  • The higher the LDL-C level the greater the benefit of lowering LDL-C.
  • The greater the decrease in LDL-C the greater the benefit.
  • The higher the absolute risk of ASCVD the greater the benefit of lowering LDL-C.

 

Additional factors that need to be considered, particularly in elderly patients, include

 

  • Life expectancy.
  • Competing non-cardiovascular disorders.
  • Risk of drug side effects.
  • Potential for drug interactions.
  • Patient preferences.

 

PRIMARY PREVENTION

 

Given the absence of definitive outcome trials demonstrating the benefit of decreasing LDL-C levels in patients ≥ 75 years of age without cardiovascular disease one must use clinical judgement in deciding who to treat. It should be recognized, as discussed in detail earlier, that the available evidence suggests that decreasing LDL-C will reduce ASCVD events in the elderly. Our approach is to determine ASCVD risk and then balance the risk with competing factors such as life expectancy, non-cardiovascular disorders, potential for drug interactions, and patient preferences. We use the approach described below to determine risk.

 

Step 1- Calculate the 10-year risk of an ASCVD event using the AHA/ACC pooled cohort equation. In Europe one can use the SCORE OP risk prediction algorithms (114). This will provide an estimate of the risk of the patient having an ASCVD event/death.

Step 2- To gain further insight on the risk of ASCVD one can determine if patient has any risk enhancing factors (tables 7 and 8). This can help further stratify the patient’s risk.

Step 3- If after discussion with the patient, you and/or the patient is uncertain on the level of risk and the appropriate treatment plan obtaining a coronary calcium score (CAC) can be helpful. A CAC score of zero indicates low risk for ASCVD and allows one to not start statin therapy (2). Note that a CAC score of zero in cigarette smokers, patients with diabetes mellitus, those with a strong family history of ASCVD, and possibly chronic inflammatory conditions such as HIV, may still be associated with a substantial 10-year risk (2).

 

Following these steps, we can estimate the risk for ASCVD events and in conjunction with the general principles described above discuss with the patient a treatment plan. If the decision is to treat our goal is often an LDL-C < 100mg/dL and non-HDL-C < 130mg/dL but in high-risk patients our goal may be an LDL-C < 70mg/dL and non-HDL-C < 100mg/dL.

 

Table 7. Risk-Enhancing Factors

 Family history of premature ASCVD (males, age <55 y; females, age <65 y)

 Primary hypercholesterolemia (LDL-C ≥160mg/dL; non-HDL-C ≥190mg/dL

 Metabolic syndrome (increased waist circumference, elevated triglycerides [>175 mg/dL], elevated blood pressure, elevated glucose, and low HDL-C [<40 mg/dL in men; <50 in women mg/dL] are factors; tally of 3 makes the diagnosis)

 Chronic kidney disease (eGFR 15–59 mL/min/1.73 m2 with or without albuminuria; not treated with dialysis or kidney transplantation)

 Chronic inflammatory conditions such as psoriasis, RA, or HIV/AIDS

 History of premature menopause (before age 40 y) and history of pregnancy-associated conditions that increase later ASCVD risk such as preeclampsia

 High-risk race/ethnicities (e.g., South Asian ancestry)

 Lipid/biomarkers: Associated with increased ASCVD risk

  Persistently* elevated, primary hypertriglyceridemia (≥175 mg/dL);

  If measured:

  1. Elevated high-sensitivity C-reactive protein (≥2.0 mg/L)

  2. Elevated Lp(a) ≥50 mg/dL or ≥125 nmol/L

  3. Elevated apoB ≥130 mg/dL

  4. ABI <0.9

 ABI= ankle-brachial index, RA= rheumatoid arthritis.

Modified from reference (2).

 

Table 8. Factors Modifying Systematic Coronary Risk Estimation Risks

Social deprivation: the origin of many of the causes of CVD.

Obesity and central obesity as measured by the body mass index and waist circumference, respectively.

Physical inactivity.

Psychosocial stress

Family history of premature CVD (men: <55 years and women: <60 years).

Chronic immune-mediated inflammatory disorder.

Major psychiatric disorders.

Treatment for HIV infection.

Atrial fibrillation.

Left ventricular hypertrophy.

Chronic kidney disease.

Obstructive sleep apnea syndrome.

Metabolic associated fatty liver disease.

Modified from reference (3).

 

PATIENTS WITH DIABETES

 

In patients ≥ 75 with diabetes without pre-existing cardiovascular our approach is very similar to that described for primary prevention. In addition to the risk enhancers listed in tables 7 and 8 there are specific diabetes risk enhancers that clinicians should factor in their decisions (table 9). Also, as noted above, in the presence of diabetes a zero CAC score is not as strong an indicator of low risk for ASCVD as in non-diabetics.

 

In patients with diabetes because they usually have multiple risk factors and are at high risk for ASCVD events our typical LDL-C goal is < 70mg/dL and non-HDL-C < 100mg/dL. In the rare situation where there are minimal other risk factors an LDL-C goal < 100mg/dL and non-HDL-C < 130mg/dL is reasonable. 

 

Table 9. Diabetes-Specific Risk Enhancers That Are Independent of Other Risk Factors

Long duration (≥10 years for type 2 diabetes or ≥20 years for type 1 diabetes)

Albuminuria ≥30 mcg of albumin/mg creatinine

eGFR <60 mL/min/1.73 m

Retinopathy

Neuropathy

ABI <0.9

ABI= ankle-brachial index.

Modified from reference (2).

 

SECONDARY PREVENTION

 

Studies have shown that lowering LDL-C levels with statins, ezetimibe, and PCSK9 monoclonal antibodies reduces ASCVD events in older adults with ASCVD. Thus, unless there are contraindications older patients with ASCVD should be treated with lipid lowering drugs to reduce ASCVD events. In elderly patients we will often employ a modest statin dose (for example atorvastatin 10-20mg or rosuvastatin 5-10mg) in combination with ezetimibe 10mg and then increase the statin dose, if necessary, based on lipid levels and the patient tolerating the treatment regimen. At a minimum our goal is an LDL-C < 70mg/dL and a non-HDL-C level < 100mg/dL but we would prefer lower values (ideally LDL-C < 55mg/dL and non-HDL-C < 85mg/dL) if they can be achieved with a statin + ezetimibe. In very high-risk patients (table 10) our goal is an LDL-C < 55mg/dL and non-HDL-C < 85mg/dL and adding a PCSK9 inhibitor may be required to achieve these levels in some patients.

 

Table 10. Criteria for Very High Risk

Very high-risk includes a history of multiple major ASCVD events or one major ASCVD event and multiple high-risk conditions.

 

Major ASCVD Events

 Recent ACS (within the past 12 months)

 History of MI (other than recent ACS event)

 History of ischemic stroke

 Symptomatic peripheral arterial disease (history of claudication with ABI <0.85, or previous revascularization or amputation)

 

High-Risk Conditions

 Age ≥65 y

 Heterozygous familial hypercholesterolemia

 History of prior coronary artery bypass surgery or percutaneous coronary intervention outside of the major ASCVD event(s)

 Diabetes mellitus

 Hypertension

 CKD (eGFR 15-59 mL/min/1.73 m2)

 Current smoking

 Persistently elevated LDL-C (LDL-C ≥100 mg/dL [≥2.6 mmol/L]) despite maximally tolerated statin therapy and ezetimibe

 History of congestive HF

ABI= ankle-brachial index; ACS= acute coronary syndrome.

Based on reference (2).

 

TREATMENT

 

Lifestyle

 

The lifestyle changes described below are recommended for all adults and are not specific for elderly individuals or for individuals with cardiovascular disease. The lifestyle changes recommended will lower lipid levels and are likely to reduce the risk of ASCVD.

 

EXERCISE

 

There is little debate that exercise is beneficial and that all individuals should be physically active. It is recommended that individuals participate in at least 150 minutes of moderate-intensity aerobic physical activity (for example 30 minutes 5 times per week) or 75 minutes per week of vigorous-intensity physical activity (115,116). Additionally, it is recommended that individuals participate in 2 days per week of muscle-strengthening activity (116). Because of the loss of muscle mass with aging it is very important to incorporate resistance training into the exercise program of elderly individuals.

 

A meta-analysis of exercise in the older individuals (>60 years of age) found that aerobic exercise decreased triglyceride and LDL-C levels and increased HDL-C levels while resistance exercise decreased LDL-C levels (117). Exercise also increases fitness and helps with weight loss. It should be noted that many elderly individuals may have substantial medical and social barriers to participating in exercise programs. Comorbidities, such as osteoarthritis, may limit exercise tolerance and make exercise challenging. Older individuals should be encouraged to be as active as possible.

 

DIET

 

For a detailed discussion of the effect of diet on lipids, lipoproteins and ASCVD see the Endotext chapter entitled “The Effect of Diet on Cardiovascular Disease and Lipid and Lipoprotein Levels (118). There is general agreement on what constitutes a healthy diet and a brief summary of the Guidelines for Americans 2020-2025 is shown in table 11 and the guidelines from the American College of Cardiology/American Heart Association are shown in table 12.

 

Table 11. Guidelines for Americans 2020-2025

Recommend

Limit

Vegetables of all types—dark green; red and orange; beans, peas, and lentils; starchy; and other vegetables

Added sugars—Less than 10 percent of calories per day

Fruits, especially whole fruit

Saturated fat—Less than 10 percent of calories per day

Grains, at least half of which are whole grain

Sodium—Less than 2,300 milligrams per day

Dairy, including fat-free or low-fat milk, yogurt, and cheese, and/or lactose-free versions and fortified soy beverages and yogurt as alternatives

Alcoholic beverages—Adults can

choose not to drink or to drink in moderation by limiting intake to 2 drinks or less in a day for men and 1 drink or less in a day for women

Protein foods, including lean meats, poultry, and eggs; seafood; beans, peas, and lentils; and nuts, seeds, and soy products

 

Oils, including vegetable oils and oils in food, such as seafood and nuts

 

Full guideline is available at DietaryGuidelines.gov

 

Table 12. ACC/AHA Dietary Recommendations to Reduce Risk of ASCVD (115)

1. A diet emphasizing intake of vegetables, fruits, legumes, nuts, whole grains, and fish is recommended

2. Replacement of saturated fat with dietary monounsaturated and polyunsaturated fats can be beneficial

3. A diet containing reduced amounts of cholesterol and sodium can be beneficial

4. As a part of a healthy diet, it is reasonable to minimize the intake of processed meats, refined carbohydrates, and sweetened beverages

5. As a part of a healthy diet, the intake of trans fats should be avoided

 

A summary of the effect of individual dietary constituents on lipid and lipoprotein levels is shown in table 13 (118). This table summarizes the results of numerous randomized trials examining the effect of dietary manipulations on lipid and lipoprotein levels.

 

Table 13. Summary of the Effect of Dietary Constituents on Lipid and Lipoproteins

SFA

Increase LDL-C and modest increase HDL-C

MUFA and PUFA

Decrease LDL-C

TFA

Increase LDL-C and decrease HDL-C

Cholesterol

Increase LDL-C

Carbohydrates

Increase TGs, increase greater with simple sugars particularly fructose

Fiber

Decrease LDL-C

Phytosterols

Decrease LDL-C

SFA= saturated fatty acids, MUFA= monounsaturated fatty acids, PUFA= polyunsaturated fatty acids, TFA= trans fatty acids.

 

There is a huge literature describing the effect of diet on the risk of ASCVD and this literature is often conflicting and controversial (118). Several well recognized investigators have discussed the limitations of the information linking various diets and dietary constituents and the risk of disease (119,120). The major problem is that almost all of the information is based on observational studies and well conducted randomized trials measuring important ASCVD outcomes are very rare. Observational studies can demonstrate associations but do not definitively indicate that there is a cause-and-effect relationship. Unrecognized confounding variables can result in false associations.

 

Some of the more recent randomized dietary trials that have examined the effect of diet on ASCVD events are described below. For a discussion of other studies see reference (118). The PREDIMED trial employing a Mediterranean diet (increased monounsaturated fats) reduced the incidence of major ASCVD events (121). In this multicenter trial, carried out in Spain, over 7,000 patients at high risk for developing ASCVD were randomized to three diets (primary prevention trial). A Mediterranean diet supplemented with extra-virgin olive oil, a Mediterranean diet supplemented with mixed nuts, or a control diet. The average age of participants in this trial was 67. In the patients assigned to the Mediterranean diets there was 29% decrease in the primary end point (MI, stroke, and death from ASCVD). Subgroup analysis demonstrated that the Mediterranean diet was equally beneficial in patients < 70 and ≥ 70 years of age. The Mediterranean diet resulted in only a small but significant increase in HDL-C levels and a small decrease in both LDL-C and TG levels, suggesting that the beneficial effects were not mediated by changes in lipids (122). The CORDIOPREV study and the Lyon Diet Heart Study were randomized trials that demonstrated that a Mediterranean diet reduces ASCVD events in patients with cardiovascular disease (secondary prevention) (123,124). Unfortunately, these studies did not have a sufficient number of patients > 70 years of age for analysis of the effect of the diet in older patients with pre-existing cardiovascular disease.

 

The results of these three randomized trials indicate that following a Mediterranean type diet reduces ASCVD. It is likely that the beneficial effects of the Mediterranean diet on ASCVD is mediated by multiple mechanisms with alterations in lipid levels making only a minor contribution.

 

LIPID LOWERING DRUGS

 

Current guidelines and lipid lowering goals are discussed in the guidelines section above. In this section we will focus on clinical decisions regarding the use of lipid lowering drugs. To maximize benefits of lipid lowering therapy we think it is important to achieve LDL-C goals.

 

Elderly Patients on Lipid Lowering Therapy

 

In elderly patients on lipid lowering therapy, we usually continue therapy if they are tolerating the medications without side effects. We will periodically check a lipid panel to make sure that they are achieving the goals of therapy. If not, we will adjust the lipid lowering medications to achieve the desired LDL-C goals. We will make changes in therapy if circumstances change. For example, if a patient develops metastatic cancer and is transferred to palliative or Hospice care we will stop the lipid lowering therapy. Similarly, if a new drug is required the current lipid lowering drugs may need to be changed to avoid drug interactions. Thus, in most patients continuing lipid lowering therapy is appropriate.

 

Primary Prevention in Elderly Patients

 

In elderly patients we usually initiate therapy using moderate-intensity statin therapy if therapy is indicated as discussed above. We typically use either atorvastatin 10-20mg or rosuvastatin 5-10mg. Our reason for using these statins is that if one needs to lower LDL-C further we can just increase the dose of the statin and not need to start a new statin. In certain circumstances we might use another statin to avoid drug interactions (for example in a patient living with HIV we might use pitavastatin). After 6-12 weeks on statin therapy, we check a lipid panel and if the patient is having any medication side effects. If the LDL-C is not at goal we will either increase the statin dose or if we feel that the patient is at risk for statin toxicity add ezetimibe 10mg instead. In a healthy elderly patient at high risk for ASCVD (for example high LDL-C, diabetes, and hypertension) we do not hesitate to use high-intensity statin therapy (atorvastatin 40-80mg and rosuvastatin 20-40mg) plus ezetimibe 10mg to achieve the LDL-C goal.

 

Secondary Prevention in Elderly Patients

 

Unless than is a contraindication we frequently start these patients on high-intensity statin therapy. After 6-12 weeks on statin therapy, we check a lipid panel and if the patient is having any medication side effects. We will often add ezetimibe as studies have shown that the greater the lowering of LDL-C the greater the reductions in ASCVD events. Additionally, ezetimibe is generic (i.e. inexpensive) and doesn’t typically cause side effects. We will use PCSK9 inhibitors following the principle that the higher the LDL-C and the greater the risk of ASCVD events the greater the cost effectiveness of using expensive PCSK9 inhibitors.

 

Mixed Hyperlipidemia

 

In patients with mixed hyperlipidemia (elevated LDL-C and triglyceride levels) Initial drug therapy should also be a statin unless triglyceride levels are greater than 500-1000mg/dL. If triglycerides are > 500-1000mg/dL initial therapy is directed at lowering triglyceride levels (49,125). In addition to lowering LDL-C levels, statins are also effective in lowering triglyceride levels particularly when the triglycerides are elevated. If LDL-C is not lowered sufficiently ezetimibe is a reasonable next step. The approach to the patient whose LDL-C levels are at goal but the triglycerides and non-HDL-C are still elevated is not clearly defined. As discussed above studies have failed to demonstrate that adding a fibrate or niacin reduces ASCVD events. The REDUCE-IT trial has demonstrated that icosapent ethyl (Vascepa) decreases ASCVD events in this patient population but as discussed in detail above the results of this study are debated because the mineral oil placebo increased LDL-C. non-HDL-C, hsCRP, and other biomarkers associated with an increased risk of ASCVD events. It is debated by various experts whether the beneficial effect seen in this study was due to the positive effects of icosapent ethyl or to negative effects of the placebo. Clinicians will need to use their clinical judgement on whether to treat patients with elevations in TG and non-HDL-C levels with icosapent ethyl balancing the potential benefits of treatment vs. the potential side effects. In making this decision in our elderly patients it is worth noting that in participants <65 years of age the primary end point was reduced by 35% (HR 0.65; 95% CI 0.54–0.78) while in participants ≥ 65 years of age the primary end point was reduced by 18% (HR 0.82; 95%CI 0.70–0.97; P Value for Interaction 0.06). Information on patients ≥ 75 years of age is not available.  

 

Patients with Statin Intolerance

 

Statin intolerance is frequently due to myalgias but on occasion can be due other issues, such as increased liver or muscle enzymes, cognitive dysfunction, or other neurological disorders. The percentage of patients who are “statin intolerant” varies greatly but in clinical practice a significant number of patients have difficulty taking statins.

 

It can be difficult to determine if the muscle symptoms that occur when a patient is taking a statin are actually due to the statin or are unrelated to statin use. The first step in a “statin intolerant patient” is to take a careful history of the nature and location of the muscle symptoms and the timing of onset in relation to statin use to determine whether the presentation fits the typical picture for statin induced myalgias. The characteristic findings with a statin induced myalgia are shown in table 14 and findings that are not typical for statin induced myalgia are shown in table 15. The disappearance of symptoms within a few weeks of stopping statins and the reappearance after restarting statins is very suggestive of the symptoms being due to true statin intolerance. An on-line tool (htpp://tools.acc.org/statinintolerance/#!/) and an app produced by the ACC/AHA are available. This tool characterizes patients based on 8 criteria into possible vs. unlikely to have statin induced muscle symptoms (table 16).

 

Table 14. Characteristic Findings with Statin Induced Myalgia

Symmetric

Proximal muscles

Muscle pain, tenderness, weakness, cramps

Symptom onset < 4 weeks after starting statin or dose increase

Improves within 2-4 weeks of stopping statin

Cramping is unilateral and involves small muscles of hands and feet

Same symptoms occur with re-challenge within 4 weeks

 

Table 15. Symptoms Atypical in Statin Induced Myalgia

Unilateral

Asymmetric

Small muscles

Joint or tendon pain

Shooting pain, muscle twitching or tingling

Symptom onset > 12 weeks

No improvement after discontinuing statin

 

Table 16. Diagnosis of Statin Associated Muscle Symptoms

Symptom timing

Symptom type

Symptom location

Sex

Age

Race/ethnicity

CK elevation > 5 times the upper limit of normal

Known risk factors for statin induced muscle symptoms and non-statin causes of muscle symptoms

 

One should also check a CK level but this is almost always in the normal range. If the CK is not elevated and the symptoms do not suggest a statin induced myalgia one can often reassure the patient and continue statin therapy. This is often successful and studies have shown that many patients that stop taking statins due to “statin induced myalgia” can be successfully treated with a statin (50). If the CK is elevated it should be repeated after instructing the patient to avoid exercise for 48 hours. Also, the CK levels should be compared to CK levels prior to starting therapy if available. If the CK remains elevated (3x upper limit of normal) the statin should be discontinued. Similarly, if the CK is normal but the symptoms are suggestive of a statin induced myalgia the statin should also be discontinued. The next step is to determine if one can identify reversible factors that could be increasing statin toxicity (hypothyroidism, drug interactions).  If none are identified the next step after the myalgias have resolved is to try a low dose of a different statin that is metabolized by a different pathway (for example instead of atorvastatin, which is metabolized by the CYP3A4 pathway, rosuvastatin, which has a different pathway of metabolism). Because statin side effects are dose related, a low dose of a statin may often be tolerated. One can also try several different statins as sometimes a patient may tolerate one statin and not others. A meta-analysis has shown that every other day administration of statins is as effective as daily administration in lowering lipid levels and therefore is a very reasonable strategy (126). In some instances, using a long-acting statin (rosuvastatin or atorvastatin) 1-3 times per week can work (we usually start with once per week and then slowly increase frequency as tolerated) (127). In these circumstances (low doses or 1-3 times per week) the reduction in LDL-C may not be sufficient but one can use combination therapy with other drugs such as ezetimibe, bempedoic acid, or PCSK9 inhibitors to achieve LDL-C target goals.

 

If after trying various approaches a patient still has myalgias and is unable to tolerate statin therapy one needs to utilize other approaches to lower LDL-C levels. We typically use the ezetimibe and bempedoic acid combination pill (Nexlizet), which can lower the LDL-C level by approximately 40%, which is often sufficient (128). If needed one could add a PCSK9 inhibitor to further decrease LDL-C.

 

CONCLUSION

 

ASCVD is a major cause of morbidity and mortality in elderly patients. In elderly patients with pre-existing ASCVD randomized clinical trials have shown that lipid lowering drug therapy with statins, ezetimibe, and PCSK9 inhibitors reduce ASCVD events. Thus, most elderly patients with ASCVD should be treated with lipid lowering drugs unless there are contraindications such as limited life expectancy, competing non-cardiovascular disorders, high risk of drug interactions or drug side effects. In elderly patients without ASCVD if they are already taking lipid lowering drugs and if they are tolerating the medications without side effects continuing therapy is usually reasonable as long as the clinical circumstances have not changed. In elderly patients not on lipid lowering therapy and without cardiovascular disease studies have suggested that lipid lowering therapy is beneficial but further studies are required to definitively demonstrate benefit. In these patients one needs to determine the patient’s risk for ASCVD events and then discuss the potential benefits and side effects with the patient to make a shared decision on whether to initiate therapy. Age per se should not be used to withhold therapy with lipid lowering drugs that can reduce the risk of ASCVD events.

 

ACKNOWLEDGEMENTS

 

This work was supported by grants from the Northern California Institute for Research and Education. The authors would like to thank Dan Streja, the original author of this chapter, who provided the framework for this updated chapter.

 

REFERENCES

 

  1. Savji N, Rockman CB, Skolnick AH, Guo Y, Adelman MA, Riles T, Berger JS. Association between advanced age and vascular disease in different arterial territories: a population database of over 3.6 million subjects. J Am Coll Cardiol 2013; 61:1736-1743
  2. Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Jr., Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 139:e1082-e1143
  3. Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, Chapman MJ, De Backer GG, Delgado V, Ference BA, Graham IM, Halliday A, Landmesser U, Mihaylova B, Pedersen TR, Riccardi G, Richter DJ, Sabatine MS, Taskinen MR, Tokgozoglu L, Wiklund O. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J 2020; 41:111-188
  4. Ghandehari H, Kamal-Bahl S, Wong ND. Prevalence and extent of dyslipidemia and recommended lipid levels in US adults with and without cardiovascular comorbidities: the National Health and Nutrition Examination Survey 2003-2004. Am Heart J 2008; 156:112-119
  5. Laurenzi M, Mancini M. Plasma lipids in elderly men and women. Eur Heart J 1988; 9 Suppl D:69-74
  6. Weijenberg MP, Feskens EJ, Kromhout D. Age-related changes in total and high-density-lipoprotein cholesterol in elderly Dutch men. Am J Public Health 1996; 86:798-803
  7. Abbott RD, Sharp DS, Burchfiel CM, Curb JD, Rodriguez BL, Hakim AA, Yano K. Cross-sectional and longitudinal changes in total and high-density-lipoprotein cholesterol levels over a 20-year period in elderly men: the Honolulu Heart Program. Ann Epidemiol 1997; 7:417-424
  8. Grunenberger F, Lammi-Keefe CJ, Schlienger JL, Deslypere JP, Hautvast JG. Longitudinal changes in serum lipids of elderly Europeans. SENECA Investigators. Eur J Clin Nutr 1996; 50 Suppl 2:S25-31
  9. Newschaffer CJ, Bush TL, Hale WE. Aging and total cholesterol levels: cohort, period, and survivorship effects. Am J Epidemiol 1992; 136:23-34
  10. Ettinger WH, Wahl PW, Kuller LH, Bush TL, Tracy RP, Manolio TA, Borhani NO, Wong ND, O'Leary DH. Lipoprotein lipids in older people. Results from the Cardiovascular Health Study. The CHS Collaborative Research Group. Circulation 1992; 86:858-869
  11. Curb JD, Reed DM, Yano K, Kautz JA, Albers JJ. Plasma lipids and lipoproteins in elderly Japanese-American men. J Am Geriatr Soc 1986; 34:773-780
  12. Wilson PW, Anderson KM, Harris T, Kannel WB, Castelli WP. Determinants of change in total cholesterol and HDL-C with age: the Framingham Study. J Gerontol 1994; 49:M252-257
  13. Garry PJ, Hunt WC, Koehler KM, VanderJagt DJ, Vellas BJ. Longitudinal study of dietary intakes and plasma lipids in healthy elderly men and women. Am J Clin Nutr 1992; 55:682-688
  14. Ferrara A, Barrett-Connor E, Shan J. Total, LDL, and HDL cholesterol decrease with age in older men and women. The Rancho Bernardo Study 1984-1994. Circulation 1997; 96:37-43
  15. Katsanos CS. Clinical considerations and mechanistic determinants of postprandial lipemia in older adults. Adv Nutr 2014; 5:226-234
  16. Spitler KM, Davies BSJ. Aging and plasma triglyceride metabolism. J Lipid Res 2020; 61:1161-1167
  17. Feingold KR, Grunfeld C. The Effect of Inflammation and Infection on Lipids and Lipoproteins. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2022.
  18. Zuliani G, Romagnoni F, Bollini C, Leoci V, Soattin L, Fellin R. Low levels of high-density lipoprotein cholesterol are a marker of disability in the elderly. Gerontology 1999; 45:317-322
  19. Ranieri P, Rozzini R, Franzoni S, Barbisoni P, Trabucchi M. Serum cholesterol levels as a measure of frailty in elderly patients. Exp Aging Res 1998; 24:169-179
  20. Pel-Littel RE, Schuurmans MJ, Emmelot-Vonk MH, Verhaar HJ. Frailty: defining and measuring of a concept. J Nutr Health Aging 2009; 13:390-394
  21. Wilson DP. Is Atherosclerosis a Pediatric Disease? In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2020.
  22. Berenson GS, Srinivasan SR, Bao W, Newman WP, 3rd, Tracy RE, Wattigney WA. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study. N Engl J Med 1998; 338:1650-1656
  23. McGill HC, Jr., McMahan CA, Malcom GT, Oalmann MC, Strong JP. Effects of serum lipoproteins and smoking on atherosclerosis in young men and women. The PDAY Research Group. Pathobiological Determinants of Atherosclerosis in Youth. Arterioscler Thromb Vasc Biol 1997; 17:95-106
  24. Tuzcu EM, Kapadia SR, Tutar E, Ziada KM, Hobbs RE, McCarthy PM, Young JB, Nissen SE. High prevalence of coronary atherosclerosis in asymptomatic teenagers and young adults: evidence from intravascular ultrasound. Circulation 2001; 103:2705-2710
  25. Enos WF, Holmes RH, Beyer J. Coronary disease among United States soldiers killed in action in Korea; preliminary report. J Am Med Assoc 1953; 152:1090-1093
  26. McNamara JJ, Molot MA, Stremple JF, Cutting RT. Coronary artery disease in combat casualties in Vietnam. JAMA 1971; 216:1185-1187
  27. Webber BJ, Seguin PG, Burnett DG, Clark LL, Otto JL. Prevalence of and risk factors for autopsy-determined atherosclerosis among US service members, 2001-2011. JAMA 2012; 308:2577-2583
  28. Newman WP, 3rd, Freedman DS, Voors AW, Gard PD, Srinivasan SR, Cresanta JL, Williamson GD, Webber LS, Berenson GS. Relation of serum lipoprotein levels and systolic blood pressure to early atherosclerosis. The Bogalusa Heart Study. N Engl J Med 1986; 314:138-144
  29. McGill HC, Jr., McMahan CA. Determinants of atherosclerosis in the young. Pathobiological Determinants of Atherosclerosis in Youth (PDAY) Research Group. Am J Cardiol 1998; 82:30T-36T
  30. Raitakari OT, Juonala M, Kahonen M, Taittonen L, Laitinen T, Maki-Torkko N, Jarvisalo MJ, Uhari M, Jokinen E, Ronnemaa T, Akerblom HK, Viikari JS. Cardiovascular risk factors in childhood and carotid artery intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study. JAMA 2003; 290:2277-2283
  31. Li S, Chen W, Srinivasan SR, Bond MG, Tang R, Urbina EM, Berenson GS. Childhood cardiovascular risk factors and carotid vascular changes in adulthood: the Bogalusa Heart Study. JAMA 2003; 290:2271-2276
  32. Davis PH, Dawson JD, Riley WA, Lauer RM. Carotid intimal-medial thickness is related to cardiovascular risk factors measured from childhood through middle age: The Muscatine Study. Circulation 2001; 104:2815-2819
  33. Juonala M, Magnussen CG, Venn A, Dwyer T, Burns TL, Davis PH, Chen W, Srinivasan SR, Daniels SR, Kahonen M, Laitinen T, Taittonen L, Berenson GS, Viikari JS, Raitakari OT. Influence of age on associations between childhood risk factors and carotid intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study, the Childhood Determinants of Adult Health Study, the Bogalusa Heart Study, and the Muscatine Study for the International Childhood Cardiovascular Cohort (i3C) Consortium. Circulation 2010; 122:2514-2520
  34. Magnussen CG, Venn A, Thomson R, Juonala M, Srinivasan SR, Viikari JS, Berenson GS, Dwyer T, Raitakari OT. The association of pediatric low- and high-density lipoprotein cholesterol dyslipidemia classifications and change in dyslipidemia status with carotid intima-media thickness in adulthood evidence from the cardiovascular risk in Young Finns study, the Bogalusa Heart study, and the CDAH (Childhood Determinants of Adult Health) study. J Am Coll Cardiol 2009; 53:860-869
  35. Klag MJ, Ford DE, Mead LA, He J, Whelton PK, Liang KY, Levine DM. Serum cholesterol in young men and subsequent cardiovascular disease. N Engl J Med 1993; 328:313-318
  36. Gray L, Lee IM, Sesso HD, Batty GD. Blood pressure in early adulthood, hypertension in middle age, and future cardiovascular disease mortality: HAHS (Harvard Alumni Health Study). J Am Coll Cardiol 2011; 58:2396-2403
  37. Pletcher MJ, Vittinghoff E, Thanataveerat A, Bibbins-Domingo K, Moran AE. Young Adult Exposure to Cardiovascular Risk Factors and Risk of Events Later in Life: The Framingham Offspring Study. PLoS One 2016; 11:e0154288
  38. Stamler J, Daviglus ML, Garside DB, Dyer AR, Greenland P, Neaton JD. Relationship of baseline serum cholesterol levels in 3 large cohorts of younger men to long-term coronary, cardiovascular, and all-cause mortality and to longevity. JAMA 2000; 284:311-318
  39. Warden BA, Fazio S, Shapiro MD. Familial Hypercholesterolemia: Genes and Beyond. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2021.
  40. Ference BA, Ray KK, Catapano AL, Ference TB, Burgess S, Neff DR, Oliver-Williams C, Wood AM, Butterworth AS, Di Angelantonio E, Danesh J, Kastelein JJP, Nicholls SJ. Mendelian Randomization Study of ACLY and Cardiovascular Disease. N Engl J Med 2019; 380:1033-1042
  41. Horton JD, Cohen JC, Hobbs HH. PCSK9: a convertase that coordinates LDL catabolism. J Lipid Res 2009; 50 Suppl:S172-177
  42. Lubin JH, Couper D, Lutsey PL, Woodward M, Yatsuya H, Huxley RR. Risk of Cardiovascular Disease from Cumulative Cigarette Use and the Impact of Smoking Intensity. Epidemiology 2016; 27:395-404
  43. Lubin JH, Albanes D, Hoppin JA, Chen H, Lerro CC, Weinstein SJ, Sandler DP, Beane Freeman LE. Greater Coronary Heart Disease Risk With Lower Intensity and Longer Duration Smoking Compared With Higher Intensity and Shorter Duration Smoking: Congruent Results Across Diverse Cohorts. Nicotine Tob Res 2017; 19:817-825
  44. Ding N, Sang Y, Chen J, Ballew SH, Kalbaugh CA, Salameh MJ, Blaha MJ, Allison M, Heiss G, Selvin E, Coresh J, Matsushita K. Cigarette Smoking, Smoking Cessation, and Long-Term Risk of 3 Major Atherosclerotic Diseases. J Am Coll Cardiol 2019; 74:498-507
  45. Morton JI, Lazzarini PA, Polkinghorne KR, Carstensen B, Magliano DJ, Shaw JE. The association of attained age, age at diagnosis, and duration of type 2 diabetes with the long-term risk for major diabetes-related complications. Diabetes Res Clin Pract 2022; 190:110022
  46. de Jong M, Woodward M, Peters SAE. Duration of diabetes and the risk of major cardiovascular events in women and men: A prospective cohort study of UK Biobank participants. Diabetes Res Clin Pract 2022; 188:109899
  47. Feingold KR. Role of Glucose and Lipids in the Atherosclerotic Cardiovascular Disease in Patients with Diabetes. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2023.
  48. Zoungas S, Woodward M, Li Q, Cooper ME, Hamet P, Harrap S, Heller S, Marre M, Patel A, Poulter N, Williams B, Chalmers J. Impact of age, age at diagnosis and duration of diabetes on the risk of macrovascular and microvascular complications and death in type 2 diabetes. Diabetologia 2014; 57:2465-2474
  49. Feingold KR. Triglyceride Lowering Drugs. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2024.
  50. Feingold KR. Cholesterol Lowering Drugs. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2024.
  51. Shepherd J, Blauw GJ, Murphy MB, Bollen EL, Buckley BM, Cobbe SM, Ford I, Gaw A, Hyland M, Jukema JW, Kamper AM, Macfarlane PW, Meinders AE, Norrie J, Packard CJ, Perry IJ, Stott DJ, Sweeney BJ, Twomey C, Westendorp RG. Pravastatin in elderly individuals at risk of vascular disease (PROSPER): a randomised controlled trial. Lancet 2002; 360:1623-1630
  52. Cholesterol Treatment Trialists Colloboration. Efficacy and safety of statin therapy in older people: a meta-analysis of individual participant data from 28 randomised controlled trials. Lancet 2019; 393:407-415
  53. Amarenco P, Kim JS, Labreuche J, Charles H, Abtan J, Bejot Y, Cabrejo L, Cha JK, Ducrocq G, Giroud M, Guidoux C, Hobeanu C, Kim YJ, Lapergue B, Lavallee PC, Lee BC, Lee KB, Leys D, Mahagne MH, Meseguer E, Nighoghossian N, Pico F, Samson Y, Sibon I, Steg PG, Sung SM, Touboul PJ, Touze E, Varenne O, Vicaut E, Yelles N, Bruckert E. A Comparison of Two LDL Cholesterol Targets after Ischemic Stroke. N Engl J Med 2020; 382:9
  54. Andersson NW, Corn G, Dohlmann TL, Melbye M, Wohlfahrt J, Lund M. LDL-C Reduction With Lipid-Lowering Therapy for Primary Prevention of Major Vascular Events Among Older Individuals. J Am Coll Cardiol 2023; 82:1381-1391
  55. Orkaby AR, Driver JA, Ho YL, Lu B, Costa L, Honerlaw J, Galloway A, Vassy JL, Forman DE, Gaziano JM, Gagnon DR, Wilson PWF, Cho K, Djousse L. Association of Statin Use With All-Cause and Cardiovascular Mortality in US Veterans 75 Years and Older. JAMA 2020; 324:68-78
  56. Kim K, Lee CJ, Shim CY, Kim JS, Kim BK, Park S, Chang HJ, Hong GR, Ko YG, Kang SM, Choi D, Ha JW, Hong MK, Jang Y, Lee SH. Statin and clinical outcomes of primary prevention in individuals aged >75 years: The SCOPE-75 study. Atherosclerosis 2019; 284:31-36
  57. Bergami M, Cenko E, Yoon J, Mendieta G, Kedev S, Zdravkovic M, Vasiljevic Z, Milicic D, Manfrini O, van der Schaar M, Gale CP, Badimon L, Bugiardini R. Statins for primary prevention among elderly men and women. Cardiovasc Res 2022; 118:3000-3009
  58. Lavie G, Hoshen M, Leibowitz M, Benis A, Akriv A, Balicer R, Reges O. Statin Therapy for Primary Prevention in the Elderly and Its Association with New-Onset Diabetes, Cardiovascular Events, and All-Cause Mortality. Am J Med 2021; 134:643-652
  59. O'Sullivan JL, Kohl R, Lech S, Romanescu L, Schuster J, Kuhlmey A, Gellert P, Yasar S. Statin Use and All-Cause Mortality in Nursing Home Residents With and Without Dementia: A Retrospective Cohort Study Using Claims Data. Neurology 2024; 102:e209189
  60. Cannon CP, Blazing MA, Giugliano RP, McCagg A, White JA, Theroux P, Darius H, Lewis BS, Ophuis TO, Jukema JW, De Ferrari GM, Ruzyllo W, De Lucca P, Im K, Bohula EA, Reist C, Wiviott SD, Tershakovec AM, Musliner TA, Braunwald E, Califf RM. Ezetimibe Added to Statin Therapy after Acute Coronary Syndromes. N Engl J Med 2015; 372:2387-2397
  61. Ouchi Y, Sasaki J, Arai H, Yokote K, Harada K, Katayama Y, Urabe T, Uchida Y, Hayashi M, Yokota N, Nishida H, Otonari T, Arai T, Sakuma I, Sakabe K, Yamamoto M, Kobayashi T, Oikawa S, Yamashita S, Rakugi H, Imai T, Tanaka S, Ohashi Y, Kuwabara M, Ito H. Ezetimibe Lipid-Lowering Trial on Prevention of Atherosclerotic Cardiovascular Disease in 75 or Older (EWTOPIA 75): A Randomized, Controlled Trial. Circulation 2019; 140:992-1003
  62. Kim BK, Hong SJ, Lee YJ, Hong SJ, Yun KH, Hong BK, Heo JH, Rha SW, Cho YH, Lee SJ, Ahn CM, Kim JS, Ko YG, Choi D, Jang Y, Hong MK. Long-term efficacy and safety of moderate-intensity statin with ezetimibe combination therapy versus high-intensity statin monotherapy in patients with atherosclerotic cardiovascular disease (RACING): a randomised, open-label, non-inferiority trial. Lancet 2022; 400:380-390
  63. Lee B, Hong SJ, Rha SW, Heo JH, Hur SH, Choi HH, Kim KJ, Kim JH, Kim HK, Kim U, Choi YJ, Lee YJ, Lee SJ, Ahn CM, Ko YG, Kim BK, Choi D, Hong MK, Jang Y, Kim JS. Moderate-intensity statin plus ezetimibe vs high-intensity statin according to baseline LDL-C in the treatment of atherosclerotic cardiovascular disease: A post-hoc analysis of the RACING randomized trial. Atherosclerosis 2023; 386:117373
  64. Lee SH, Lee YJ, Heo JH, Hur SH, Choi HH, Kim KJ, Kim JH, Park KH, Lee JH, Choi YJ, Lee SJ, Hong SJ, Ahn CM, Kim BK, Ko YG, Choi D, Hong MK, Jang Y, Kim JS. Combination Moderate-Intensity Statin and Ezetimibe Therapy for Elderly Patients With Atherosclerosis. J Am Coll Cardiol 2023; 81:1339-1349
  65. Sabatine MS, Giugliano RP, Wiviott SD, Raal FJ, Blom DJ, Robinson J, Ballantyne CM, Somaratne R, Legg J, Wasserman SM, Scott R, Koren MJ, Stein EA. Efficacy and safety of evolocumab in reducing lipids and cardiovascular events. N Engl J Med 2015; 372:1500-1509
  66. Sever P, Gouni-Berthold I, Keech A, Giugliano R, Pedersen TR, Im K, Wang H, Knusel B, Sabatine MS, O'Donoghue ML. LDL-cholesterol lowering with evolocumab, and outcomes according to age and sex in patients in the FOURIER Trial. Eur J Prev Cardiol 2021; 28:805-812
  67. Schwartz GG, Steg PG, Szarek M, Bhatt DL, Bittner VA, Diaz R, Edelberg JM, Goodman SG, Hanotin C, Harrington RA, Jukema JW, Lecorps G, Mahaffey KW, Moryusef A, Pordy R, Quintero K, Roe MT, Sasiela WJ, Tamby JF, Tricoci P, White HD, Zeiher AM. Alirocumab and Cardiovascular Outcomes after Acute Coronary Syndrome. N Engl J Med 2018; 379:2097-2107
  68. Sinnaeve PR, Schwartz GG, Wojdyla DM, Alings M, Bhatt DL, Bittner VA, Chiang CE, Correa Flores RM, Diaz R, Dorobantu M, Goodman SG, Jukema JW, Kim YU, Pordy R, Roe MT, Sy RG, Szarek M, White HD, Zeiher AM, Steg PG. Effect of alirocumab on cardiovascular outcomes after acute coronary syndromes according to age: an ODYSSEY OUTCOMES trial analysis. Eur Heart J 2020; 41:2248-2258
  69. Nissen SE, Lincoff AM, Brennan D, Ray KK, Mason D, Kastelein JJP, Thompson PD, Libby P, Cho L, Plutzky J, Bays HE, Moriarty PM, Menon V, Grobbee DE, Louie MJ, Chen CF, Li N, Bloedon L, Robinson P, Horner M, Sasiela WJ, McCluskey J, Davey D, Fajardo-Campos P, Petrovic P, Fedacko J, Zmuda W, Lukyanov Y, Nicholls SJ. Bempedoic Acid and Cardiovascular Outcomes in Statin-Intolerant Patients. N Engl J Med 2023; 388:1353-1364
  70. AIM-HIGH Investigators, Boden WE, Probstfield JL, Anderson T, Chaitman BR, Desvignes-Nickens P, Koprowicz K, McBride R, Teo K, Weintraub W. Niacin in patients with low HDL cholesterol levels receiving intensive statin therapy. N Engl J Med 2011; 365:2255-2267
  71. Hps Thrive Collaborative Group, Landray MJ, Haynes R, Hopewell JC, Parish S, Aung T, Tomson J, Wallendszus K, Craig M, Jiang L, Collins R, Armitage J. Effects of extended-release niacin with laropiprant in high-risk patients. N Engl J Med 2014; 371:203-212
  72. ACCORD Study Group, Ginsberg HN, Elam MB, Lovato LC, Crouse JR, 3rd, Leiter LA, Linz P, Friedewald WT, Buse JB, Gerstein HC, Probstfield J, Grimm RH, Ismail-Beigi F, Bigger JT, Goff DC, Jr., Cushman WC, Simons-Morton DG, Byington RP. Effects of combination lipid therapy in type 2 diabetes mellitus. N Engl J Med 2010; 362:1563-1574
  73. Das Pradhan A, Glynn RJ, Fruchart JC, MacFadyen JG, Zaharris ES, Everett BM, Campbell SE, Oshima R, Amarenco P, Blom DJ, Brinton EA, Eckel RH, Elam MB, Felicio JS, Ginsberg HN, Goudev A, Ishibashi S, Joseph J, Kodama T, Koenig W, Leiter LA, Lorenzatti AJ, Mankovsky B, Marx N, Nordestgaard BG, Pall D, Ray KK, Santos RD, Soran H, Susekov A, Tendera M, Yokote K, Paynter NP, Buring JE, Libby P, Ridker PM. Triglyceride Lowering with Pemafibrate to Reduce Cardiovascular Risk. N Engl J Med 2022; 387:1923-1934
  74. Yokoyama M, Origasa H, Matsuzaki M, Matsuzawa Y, Saito Y, Ishikawa Y, Oikawa S, Sasaki J, Hishida H, Itakura H, Kita T, Kitabatake A, Nakaya N, Sakata T, Shimada K, Shirato K. Effects of eicosapentaenoic acid on major coronary events in hypercholesterolaemic patients (JELIS): a randomised open-label, blinded endpoint analysis. Lancet 2007; 369:1090-1098
  75. Bhatt DL, Steg PG, Miller M, Brinton EA, Jacobson TA, Ketchum SB, Doyle RT, Jr., Juliano RA, Jiao L, Granowitz C, Tardif JC, Ballantyne CM. Cardiovascular Risk Reduction with Icosapent Ethyl for Hypertriglyceridemia. N Engl J Med 2019; 380:11-22
  76. Nicholls SJ, Lincoff AM, Garcia M, Bash D, Ballantyne CM, Barter PJ, Davidson MH, Kastelein JJP, Koenig W, McGuire DK, Mozaffarian D, Ridker PM, Ray KK, Katona BG, Himmelmann A, Loss LE, Rensfeldt M, Lundstrom T, Agrawal R, Menon V, Wolski K, Nissen SE. Effect of High-Dose Omega-3 Fatty Acids vs Corn Oil on Major Adverse Cardiovascular Events in Patients at High Cardiovascular Risk: The STRENGTH Randomized Clinical Trial. JAMA 2020; 324:2268-2280
  77. Kalstad AA, Myhre PL, Laake K, Tveit SH, Schmidt EB, Smith P, Nilsen DWT, Tveit A, Fagerland MW, Solheim S, Seljeflot I, Arnesen H. Effects of n-3 Fatty Acid Supplements in Elderly Patients After Myocardial Infarction: A Randomized, Controlled Trial. Circulation 2021; 143:528-539
  78. Mason RP, Libby P, Bhatt DL. Emerging Mechanisms of Cardiovascular Protection for the Omega-3 Fatty Acid Eicosapentaenoic Acid. Arterioscler Thromb Vasc Biol 2020; 40:1135-1147
  79. Ridker PM, Rifai N, MacFadyen J, Glynn RJ, Jiao L, Steg PG, Miller M, Brinton EA, Jacobson TA, Tardif JC, Ballantyne CM, Mason RP, Bhatt DL. Effects of Randomized Treatment With Icosapent Ethyl and a Mineral Oil Comparator on Interleukin-1beta, Interleukin-6, C-Reactive Protein, Oxidized Low-Density Lipoprotein Cholesterol, Homocysteine, Lipoprotein(a), and Lipoprotein-Associated Phospholipase A2: A REDUCE-IT Biomarker Substudy. Circulation 2022; 146:372-379
  80. Goff ZD, Nissen SE. N-3 polyunsaturated fatty acids for cardiovascular risk. Curr Opin Cardiol 2022; 37:356-363
  81. Mason RP, Sherratt SCR, Eckel RH. Omega-3-fatty acids: Do they prevent cardiovascular disease? Best Pract Res Clin Endocrinol Metab 2023; 37:101681
  82. Joseph J, Pajewski NM, Dolor RJ, Sellers MA, Perdue LH, Peeples SR, Henrie AM, Woolard N, Jones WS, Benziger CP, Orkaby AR, Mixon AS, VanWormer JJ, Shapiro MD, Kistler CE, Polonsky TS, Chatterjee R, Chamberlain AM, Forman DE, Knowlton KU, Gill TM, Newby LK, Hammill BG, Cicek MS, Williams NA, Decker JE, Ou J, Rubinstein J, Choudhary G, Gazmuri RJ, Schmader KE, Roumie CL, Vaughan CP, Effron MB, Cooper-DeHoff RM, Supiano MA, Shah RC, Whittle JC, Hernandez AF, Ambrosius WT, Williamson JD, Alexander KP. Pragmatic evaluation of events and benefits of lipid lowering in older adults (PREVENTABLE): Trial design and rationale. J Am Geriatr Soc 2023; 71:1701-1713
  83. Zoungas S, Curtis A, Spark S, Wolfe R, McNeil JJ, Beilin L, Chong TT, Cloud G, Hopper I, Kost A, Nelson M, Nicholls SJ, Reid CM, Ryan J, Tonkin A, Ward SA, Wierzbicki A. Statins for extension of disability-free survival and primary prevention of cardiovascular events among older people: protocol for a randomised controlled trial in primary care (STAREE trial). BMJ Open 2023; 13:e069915
  84. He Y, Li X, Gasevic D, Brunt E, McLachlan F, Millenson M, Timofeeva M, Ioannidis JPA, Campbell H, Theodoratou E. Statins and Multiple Noncardiovascular Outcomes: Umbrella Review of Meta-analyses of Observational Studies and Randomized Controlled Trials. Ann Intern Med 2018; 169:543-553
  85. Newman CB, Preiss D, Tobert JA, Jacobson TA, Page RL, 2nd, Goldstein LB, Chin C, Tannock LR, Miller M, Raghuveer G, Duell PB, Brinton EA, Pollak A, Braun LT, Welty FK. Statin Safety and Associated Adverse Events: A Scientific Statement From the American Heart Association. Arterioscler Thromb Vasc Biol 2019; 39:e38-e81
  86. Sattar N, Preiss D, Murray HM, Welsh P, Buckley BM, de Craen AJ, Seshasai SR, McMurray JJ, Freeman DJ, Jukema JW, Macfarlane PW, Packard CJ, Stott DJ, Westendorp RG, Shepherd J, Davis BR, Pressel SL, Marchioli R, Marfisi RM, Maggioni AP, Tavazzi L, Tognoni G, Kjekshus J, Pedersen TR, Cook TJ, Gotto AM, Clearfield MB, Downs JR, Nakamura H, Ohashi Y, Mizuno K, Ray KK, Ford I. Statins and risk of incident diabetes: a collaborative meta-analysis of randomised statin trials. Lancet 2010; 375:735-742
  87. Preiss D, Seshasai SR, Welsh P, Murphy SA, Ho JE, Waters DD, DeMicco DA, Barter P, Cannon CP, Sabatine MS, Braunwald E, Kastelein JJ, de Lemos JA, Blazing MA, Pedersen TR, Tikkanen MJ, Sattar N, Ray KK. Risk of incident diabetes with intensive-dose compared with moderate-dose statin therapy: a meta-analysis. JAMA 2011; 305:2556-2564
  88. Sattar N. Statins and diabetes: What are the connections? Best Pract Res Clin Endocrinol Metab 2023; 37:101749
  89. Rojas-Fernandez C, Hudani Z, Bittner V. Statins and Cognitive Side Effects: What Cardiologists Need to Know. Endocrinol Metab Clin North Am 2016; 45:101-116
  90. Rojas-Fernandez CH, Goldstein LB, Levey AI, Taylor BA, Bittner V. An assessment by the Statin Cognitive Safety Task Force: 2014 update. J Clin Lipidol 2014; 8:S5-16
  91. Richardson K, Schoen M, French B, Umscheid CA, Mitchell MD, Arnold SE, Heidenreich PA, Rader DJ, deGoma EM. Statins and cognitive function: a systematic review. Ann Intern Med 2013; 159:688-697
  92. Olmastroni E, Molari G, De Beni N, Colpani O, Galimberti F, Gazzotti M, Zambon A, Catapano AL, Casula M. Statin use and risk of dementia or Alzheimer's disease: a systematic review and meta-analysis of observational studies. Eur J Prev Cardiol 2022; 29:804-814
  93. Trompet S, van Vliet P, de Craen AJ, Jolles J, Buckley BM, Murphy MB, Ford I, Macfarlane PW, Sattar N, Packard CJ, Stott DJ, Shepherd J, Bollen EL, Blauw GJ, Jukema JW, Westendorp RG. Pravastatin and cognitive function in the elderly. Results of the PROSPER study. J Neurol 2010; 257:85-90
  94. Collins R, Armitage J, Parish S, Sleight P, Peto R, Heart Protection Study Collaborative Group. Effects of cholesterol-lowering with simvastatin on stroke and other major vascular events in 20536 people with cerebrovascular disease or other high-risk conditions. Lancet 2004; 363:757-767
  95. McGuinness B, Craig D, Bullock R, Malouf R, Passmore P. Statins for the treatment of dementia. Cochrane Database Syst Rev 2014:CD007514
  96. Rosenson RS, Baker SK, Jacobson TA, Kopecky SL, Parker BA, The National Lipid Association's Muscle Safety Expert Panel. An assessment by the Statin Muscle Safety Task Force: 2014 update. J Clin Lipidol 2014; 8:S58-71
  97. Schech S, Graham D, Staffa J, Andrade SE, La Grenade L, Burgess M, Blough D, Stergachis A, Chan KA, Platt R, Shatin D. Risk factors for statin-associated rhabdomyolysis. Pharmacoepidemiol Drug Saf 2007; 16:352-358
  98. Cholesterol Treatment Trialists Collaboration. Effect of statin therapy on muscle symptoms: an individual participant data meta-analysis of large-scale, randomised, double-blind trials. Lancet 2022; 400:832-845
  99. Bruckert E, Hayem G, Dejager S, Yau C, Begaud B. Mild to moderate muscular symptoms with high-dosage statin therapy in hyperlipidemic patients--the PRIMO study. Cardiovasc Drugs Ther 2005; 19:403-414
  100. Buettner C, Davis RB, Leveille SG, Mittleman MA, Mukamal KJ. Prevalence of musculoskeletal pain and statin use. J Gen Intern Med 2008; 23:1182-1186
  101. Cohen JD, Brinton EA, Ito MK, Jacobson TA. Understanding Statin Use in America and Gaps in Patient Education (USAGE): an internet-based survey of 10,138 current and former statin users. J Clin Lipidol 2012; 6:208-215
  102. Gupta A, Thompson D, Whitehouse A, Collier T, Dahlof B, Poulter N, Collins R, Sever P. Adverse events associated with unblinded, but not with blinded, statin therapy in the Anglo-Scandinavian Cardiac Outcomes Trial-Lipid-Lowering Arm (ASCOT-LLA): a randomised double-blind placebo-controlled trial and its non-randomised non-blind extension phase. Lancet 2017; 389:2473-2481
  103. Giugliano RP, Mach F, Zavitz K, Kurtz C, Im K, Kanevsky E, Schneider J, Wang H, Keech A, Pedersen TR, Sabatine MS, Sever PS, Robinson JG, Honarpour N, Wasserman SM, Ott BR. Cognitive Function in a Randomized Trial of Evolocumab. N Engl J Med 2017; 377:633-643
  104. Koren MJ, Giugliano RP, Raal FJ, Sullivan D, Bolognese M, Langslet G, Civeira F, Somaratne R, Nelson P, Liu T, Scott R, Wasserman SM, Sabatine MS. Efficacy and safety of longer-term administration of evolocumab (AMG 145) in patients with hypercholesterolemia: 52-week results from the Open-Label Study of Long-Term Evaluation Against LDL-C (OSLER) randomized trial. Circulation 2014; 129:234-243
  105. Robinson JG, Farnier M, Krempf M, Bergeron J, Luc G, Averna M, Stroes ES, Langslet G, Raal FJ, El Shahawy M, Koren MJ, Lepor NE, Lorenzato C, Pordy R, Chaudhari U, Kastelein JJ. Efficacy and safety of alirocumab in reducing lipids and cardiovascular events. N Engl J Med 2015; 372:1489-1499
  106. Shapiro MD, Feingold KR. Monogenic Disorders Causing Hypobetalipoproteinemia. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2024.
  107. McKenney JM. Understanding PCSK9 and anti-PCSK9 therapies. J Clin Lipidol 2015; 9:170-186
  108. LaRosa JC, Grundy SM, Kastelein JJ, Kostis JB, Greten H. Safety and efficacy of Atorvastatin-induced very low-density lipoprotein cholesterol levels in Patients with coronary heart disease (a post hoc analysis of the treating to new targets [TNT] study). Am J Cardiol 2007; 100:747-752
  109. Wiviott SD, Cannon CP, Morrow DA, Ray KK, Pfeffer MA, Braunwald E. Can low-density lipoprotein be too low? The safety and efficacy of achieving very low low-density lipoprotein with intensive statin therapy: a PROVE IT-TIMI 22 substudy. J Am Coll Cardiol 2005; 46:1411-1416
  110. Everett BM, Mora S, Glynn RJ, MacFadyen J, Ridker PM. Safety profile of subjects treated to very low low-density lipoprotein cholesterol levels (<30 mg/dl) with rosuvastatin 20 mg daily (from JUPITER). Am J Cardiol 2014; 114:1682-1689
  111. Giugliano RP, Wiviott SD, Blazing MA, De Ferrari GM, Park JG, Murphy SA, White JA, Tershakovec AM, Cannon CP, Braunwald E. Long-term Safety and Efficacy of Achieving Very Low Levels of Low-Density Lipoprotein Cholesterol : A Prespecified Analysis of the IMPROVE-IT Trial. JAMA Cardiol 2017; 2:547-555
  112. Wachira JK, Larson MK, Harris WS. n-3 Fatty acids affect haemostasis but do not increase the risk of bleeding: clinical observations and mechanistic insights. Br J Nutr 2014; 111:1652-1662
  113. Feingold KR, Chait A. Approach to patients with elevated low-density lipoprotein cholesterol levels. Best Pract Res Clin Endocrinol Metab 2023; 37:101658
  114. Score Op working group E. S. C. Cardiovascular risk collaboration. SCORE2-OP risk prediction algorithms: estimating incident cardiovascular event risk in older persons in four geographical risk regions. Eur Heart J 2021; 42:2455-2467
  115. Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, Himmelfarb CD, Khera A, Lloyd-Jones D, McEvoy JW, Michos ED, Miedema MD, Munoz D, Smith SC, Jr., Virani SS, Williams KA, Sr., Yeboah J, Ziaeian B. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 140:e596-e646
  116. Piercy KL, Troiano RP, Ballard RM, Carlson SA, Fulton JE, Galuska DA, George SM, Olson RD. The Physical Activity Guidelines for Americans. JAMA 2018; 320:2020-2028
  117. Yun H, Su W, Zhao H, Li H, Wang Z, Cui X, Xi C, Gao R, Sun Y, Liu C. Effects of different exercise modalities on lipid profile in the elderly population: A meta-analysis. Medicine (Baltimore) 2023; 102:e33854
  118. Feingold KR. The Effect of Diet on Cardiovascular Disease and Lipid and Lipoprotein Levels. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2021.
  119. Ioannidis JPA. The Challenge of Reforming Nutritional Epidemiologic Research. JAMA 2018; 320:969-970
  120. Nissen SE. U.S. Dietary Guidelines: An Evidence-Free Zone. Ann Intern Med 2016; 164:558-559
  121. Estruch R, Ros E, Salas-Salvado J, Covas MI, Corella D, Aros F, Gomez-Gracia E, Ruiz-Gutierrez V, Fiol M, Lapetra J, Lamuela-Raventos RM, Serra-Majem L, Pinto X, Basora J, Munoz MA, Sorli JV, Martinez JA, Fito M, Gea A, Hernan MA, Martinez-Gonzalez MA. Primary Prevention of Cardiovascular Disease with a Mediterranean Diet Supplemented with Extra-Virgin Olive Oil or Nuts. N Engl J Med 2018; 378:e34
  122. Estruch R, Martinez-Gonzalez MA, Corella D, Salas-Salvado J, Ruiz-Gutierrez V, Covas MI, Fiol M, Gomez-Gracia E, Lopez-Sabater MC, Vinyoles E, Aros F, Conde M, Lahoz C, Lapetra J, Saez G, Ros E. Effects of a Mediterranean-style diet on cardiovascular risk factors: a randomized trial. Ann Intern Med 2006; 145:1-11
  123. de Lorgeril M, Renaud S, Mamelle N, Salen P, Martin JL, Monjaud I, Guidollet J, Touboul P, Delaye J. Mediterranean alpha-linolenic acid-rich diet in secondary prevention of coronary heart disease. Lancet 1994; 343:1454-1459
  124. Delgado-Lista J, Alcala-Diaz JF, Torres-Pena JD, Quintana-Navarro GM, Fuentes F, Garcia-Rios A, Ortiz-Morales AM, Gonzalez-Requero AI, Perez-Caballero AI, Yubero-Serrano EM, Rangel-Zuniga OA, Camargo A, Rodriguez-Cantalejo F, Lopez-Segura F, Badimon L, Ordovas JM, Perez-Jimenez F, Perez-Martinez P, Lopez-Miranda J. Long-term secondary prevention of cardiovascular disease with a Mediterranean diet and a low-fat diet (CORDIOPREV): a randomised controlled trial. Lancet 2022; 399:1876-1885
  125. Chait A, Feingold KR. Approach to patients with hypertriglyceridemia. Best Pract Res Clin Endocrinol Metab 2023; 37:101659
  126. Awad K, Mikhailidis DP, Toth PP, Jones SR, Moriarty P, Lip GYH, Muntner P, Catapano AL, Pencina MJ, Rosenson RS, Rysz J, Banach M. Efficacy and Safety of Alternate-Day Versus Daily Dosing of Statins: a Systematic Review and Meta-Analysis. Cardiovasc Drugs Ther 2017; 31:419-431
  127. Kennedy SP, Barnas GP, Schmidt MJ, Glisczinski MS, Paniagua AC. Efficacy and tolerability of once-weekly rosuvastatin in patients with previous statin intolerance. J Clin Lipidol 2011; 5:308-315
  128. Ballantyne CM, Laufs U, Ray KK, Leiter LA, Bays HE, Goldberg AC, Stroes ES, MacDougall D, Zhao X, Catapano AL. Bempedoic acid plus ezetimibe fixed-dose combination in patients with hypercholesterolemia and high CVD risk treated with maximally tolerated statin therapy. Eur J Prev Cardiol 2020; 27:593-603

 

The Effect of Diet on Cardiovascular Disease and Lipid and Lipoprotein Levels

ABSTRACT

 

The role of lipids and lipoproteins as causal factors for cardiovascular disease (CVD) is well established. Dietary saturated fatty acids (SFA), which are in milk, butter, cheese, beef, lamb, pork, poultry, palm oil, and coconut oil increase LDL-C and HDL-C. The increase in LDL-C is due to a decrease in hepatic LDL clearance and an increase in LDL production secondary to a decrease in hepatic LDL receptors. Monounsaturated fatty acids (MUFA) are in olive, canola, peanut, safflower, and sesame oil, and avocados, peanut butter, and many nuts and seeds and polyunsaturated fatty acids (PUFA) are in soybean, corn, and sunflower oil, and some nuts and seeds, tofu, and soybeans. Both MUFA and PUFA lower LDL-C by increasing hepatic LDL receptor activity. Dietary cholesterol is found in egg yolks, shrimp, beef, pork, poultry, cheese, and butter and increase LDL-C but the effect is modest and varies with approximately 15-25% of individuals being hyper-responders with more robust increases. Dietary cholesterol reduces hepatic LDL receptor activity, decreasing the clearance and increasing the production of LDL. Trans fatty acids (TFA) occur naturally in meat and dairy products and are formed during the partial hydrogenation of vegetable fat. TFA increase LDL-C and decrease HDL-C. Carbohydrates (CHO) can be divided into high-quality, for example fruits, legumes, vegetables, and whole grains, or low-quality, which include refined grains, starches, and added sugars. CHO increase TG with low quality CHO, particularly added sugars, having a more robust effect. Dietary CHO, particularly fructose, promotes hepatic de novo fatty acid synthesis leading to increased VLDL secretion. Fiber is found mostly in fruits, vegetables, whole and unrefined grains, nuts, seeds, beans, and legumes and phytosterols are naturally occurring constituents of plants and are found in vegetable oils, cereals, nuts, fruit and vegetables. Both dietary fiber and phytosterols decrease LDL-C by decreasing intestinal cholesterol absorption.

Summary of the Effect of Dietary Constituents on Lipid and Lipoproteins

SFA

Increase LDL-C and modest increase HDL-C

MUFA and PUFA

Decrease LDL-C

TFA

Increase LDL-C and decrease HDL-C

Cholesterol

Increase LDL-C

CHO

Increase TGs particularly simple sugars

Fiber

Decrease LDL-C

Phytosterols

Decrease LDL-C

With regards to CVD there are very few well conducted randomized controlled trials and most of the information is derived from observational studies that demonstrate associations. These observational studies have found that fruits, vegetables, beans/legumes, nuts/seeds, whole grains, fish, yogurt, fiber, seafood omega-3 fatty acids, and polyunsaturated fats were associated with a decreased risk of CVD while unprocessed red meats, processed meats, sugar-sweetened beverages, high glycemic load CHO, and trans-fats were associated with an increased risk of CVD. Randomized trials have shown that a Mediterranean diet reduces CVD. Based on this information current guidelines for the general population recommend 1. A diet emphasizing intake of vegetables, fruits, legumes, nuts, whole grains, and fish 2. Replacement of SFA with MUFA and PUFA 3. A reduced amount of dietary cholesterol 4. Minimizing intake of processed meats, refined CHO, and sweetened beverages and 5. Avoidance of TFA. For individuals with a high LDL-C limiting dietary SFA, TFA, and cholesterol and increasing fiber and phytosterols will help lower LDL-C while in individuals with high TG limiting low quality CHO, particularly simple sugars, and ethanol with weight loss, if indicated, will help lower TG.

 

INTRODUCTION

 

There is a huge literature describing the effect of diet on the risk of cardiovascular disease (CVD) and this literature is often conflicting and controversial. Several well recognized investigators have discussed the limitations of the information linking various diets and dietary constituents and the risk of disease (1,2). The major problem is that almost all of the information is based on observational studies and well conducted randomized trials measuring important cardiovascular outcomes are very rare. Observational studies can demonstrate associations but do not necessarily indicate that there is a cause-and-effect relationship. Unrecognized confounding variables can result in false associations. In several instances a robust association was observed in observation trials but randomized trials failed to confirm these observations (3). For example, several observational studies showed that higher vitamin E intake from dietary sources or supplements was associated with a lower risk of CVD (4-8), but randomized controlled trials failed to demonstrate a reduction in cardiovascular events with vitamin E supplementation (9-12). Observational studies have also reported that vitamin B6, B12, or folic acid intake reduced the risk of CVD (13-15), but again randomized controlled trials failed to demonstrate a benefit of increased vitamin intake on CVD (16-19). These results point to potential deficiencies in observational studies and the need to recognize that the associations demonstrated in observational studies may not always be causal. Therefore, in this chapter, where possible, we will focus on randomized controlled trials.

 

Moreover, even the interpretation of the results of observational trials is often debated. For example, a 2019 meta-analysis and systematic review published in the Annals of Internal Medicine reached the conclusion that “the magnitude of association between red and processed meat consumption and all-cause mortality and adverse cardiometabolic outcomes is very small, and the evidence is of low certainty” (20). This conclusion is contrary to the recommendations of almost all dietary guidelines and as would be expected this resulted in a critique challenging this conclusion (21). There are numerous other instances where there are conflicting results and interpretations in the literature linking diet with CVD making it difficult to sort out fact from fiction.

 

The information pertaining to the effect of dietary manipulations on lipid and lipoprotein levels are frequently based on randomized controlled trials rather than observational studies and therefore tend to be more consistent. However, even in these studies the results are sometimes conflicting. There are many factors that could account for this variability including the heterogeneity in study settings, type of individuals studied, study designs, differences in baseline diets, adherence to the study diet, differences in types of diet or dietary composition, methods and accuracy of the methods used to measure lipid and lipoprotein levels, and many other factors.

 

Additionally, the clinician should recognize that the lipid response of an individual patient to dietary manipulations can vary greatly, is very modest on average (in the range of 10% reductions, typically), and in most cases will not prevent the need for lipid lowering medications. The importance of genetic differences on these responses is often under recognized by patients and providers. For example, individuals with an apo E4 allele have a more robust decrease in LDL-C in response to a decrease in dietary fat and cholesterol than subjects carrying the apo E3 or apo E2 alleles (22). Polymorphisms in other genes have also been shown to modulate the lipid and lipoprotein response to dietary manipulations (22,23). Clinical conditions can also affect the response to diet. For example, the expected lipid and lipoprotein response to a low cholesterol, low saturated fatty acids (SFA) diet is blunted in obese individuals (24). Therefore, the effect of a specific diet can vary from individual to individual and the clinician will have to monitor a patient’s response.

 

It should be recognized that when one increases or decreases a particular macronutrient in the diet (lipids, carbohydrates (CHO), or protein) there needs to be a reciprocal change in another macronutrient to maintain caloric balance. It can therefore be difficult to know whether the increase in a particular nutrient or a decrease in another nutrient is accounting for the observed effect (for example decreasing SFA and increasing CHO). Where possible I will try to specify which nutrient was decreased and which was increased in the studies described.

 

Finally, it is important to look at the effect of diet on lipids independent of weight loss. Weight loss per se can affect lipid levels resulting in a decrease in triglycerides and LDL-C and an increase in HDL-C levels (25). For a detailed discussion of the effect of weight loss on lipid levels see the chapter on obesity and dyslipidemia (25).

 

In this chapter we will first discuss the effect of various macronutrients, then specific foods, and finally specific diets on lipids and lipoprotein levels.  

 

DIETARY SATURATED FATTY ACIDS

 

Major sources of saturated fatty acids (SFA) in the diet are milk, butter, cheese, other dairy products, beef, lamb, pork, poultry particularly the skin, palm oil, palm kernel oil, and coconut oil (tables 1 and 3).

 

Table 1. Fatty Acid Composition of Foods High in Saturated Fat

 

Total Fat

grams/100 grams

SFA

grams/100 grams

MUFA

grams/100 grams

PUFA

grams/100 grams

Hamburger

15.0

5.89

6.66

0.49

Pork loin

13.3

5.23

6.19

1.20

Chicken

12.6

3.50

4.93

2.74

Lamb

15.1

6.90

7.00

1.20

Whole milk*

3.9

2.5

1.0

0.1

Gouda cheese**

30.6

20.3

7.4

0.9

Butter***

82.2

52.1

20.9

2.8

*TFA = 0.1g/100g; **TFA = 1.1g/100g; TFA = 2.9g/100g.

TFA= trans fatty acids, MUFA= monounsaturated fatty acids, PUFA= polyunsaturated fatty acids.

 

Effect of Dietary Saturated Fatty Acids on Cardiovascular Disease

 

OBSERVATIONAL STUDIES

 

Dietary guidelines uniformly recommend reducing the intake of SFA. There are a large number of observational trials that have shown an association between dietary SFA intake and CVD (26-31). However, there are meta-analyses that have not found an association between dietary SFA intake and CVD (32-36). A possible explanation for this discordance is whether the SFA in the diet is replaced by polyunsaturated fatty acids (PUFA) vs. replaced by CHO. When SFA is replaced by PUFA there is a reduction in CVD whereas replacement with CHO has no benefit on CVD (27-29,37-39). However, replacement of SFA with high quality CHO may be beneficial (27,37,38). Additionally, in one study SFA from meat was associated with an increased risk of CVD while SFA from dairy products was associated with a decrease in CVD (40). Thus, the source of SFA may be important. 

 

As noted above, observational studies can demonstrate an association but are not able to definitively demonstrate a causal relationship. It is therefore essential to review the results of randomized controlled trials on the effect of decreasing dietary SFA on preventing cardiovascular events.

 

RANDOMIZED CONTROLLED OUTCOME TRIALS

 

This section will review the major randomized trials analyzing the effect of decreasing SFA intake on preventing CVD. Studies with very few participants, few cardiovascular events, or very short-term studies will not be included. It is important to note that many of these studies were carried out in the 1950’s and 1960’s when the diagnosis and treatment of CVD was very primitive compared to current standards. Also, typical diets were much different (higher in SFA) and mean plasma cholesterol levels were higher. Lastly, the methodology of these studies was not up to the current standards by which randomized controlled trials are performed (small number of patients, often not blinded, inadequate statistical power, non-specific endpoints, etc.). Thus, the accuracy of these trials and the relevancy of these older studies to current times is uncertain.

 

In a study from England initiated in 1957, 252 men under the age of sixty-five who recently

had a myocardial infarction were assigned to a low-fat diet or usual diet (41). The low-fat diet was limited to 40 grams per day of fat with decreases in butter and meat. The intake of fat during the trial was approximately 100-120 grams per day in the usual diet group and slightly greater than 40 grams per day in the low-fat diet group. At the time of the study the typical diet was high in SFA so a decrease in total fat would have resulted in a significant decrease in SFA. During the trial serum cholesterol levels were in the 240mg/dL range in the usual diet group and 220mg/dL in the low-fat diet group. There were no differences between the two groups in cardiovascular events during the 5 years of the trial. To see a reduction in cardiovascular events with the modest reduction in serum cholesterol levels this study would have required a much larger number of participants.

 

The Oslo Diet-Heart Study randomized men under 65 years of age with a history of a myocardial infarction to a diet low in SFA and cholesterol, and high in PUFA (n=206) or their usual diet (n=206) (42). Cholesterol levels were approximately 295mg/dL and decreased to approximately 240mg/dL in the patients on the low SFA diet with minimal changes in the control group. After 5 years major cardiovascular events and cardiovascular mortality were reduced in the group on the low SFA diet (Events- 61 low SFA group vs. 81 control group; Mortality- 38 low SFA group vs. 52 control group).

 

The Medical Research Council soya-bean trial randomized men under 60 years of age with a recent myocardial infarction to continue their usual diet (n=194) or a diet low in SFA and containing 85 grams of soya-bean oil daily (PUFA) (n=199) (43). The low SFA diet lowered cholesterol from 272 to 213mg/dL (22% decrease) while in the controls, cholesterol decreased from 273 to 259mg/dL (6% decrease). The primary outcome was first relapse (myocardial infarction, angina, sudden death). After 4 years, 62 of 199 in the soybean oil group had a recurrent coronary event compared with 74 of 194 in the usual diet group; the difference, −18% (95% CI, −38 to 7), was not statistically significant but given the small number of participants was suggestive of benefit.

 

The Los Angeles Veterans Administration Center study randomized 422 men to the conventional control diet and 424 to the experimental diet low in SFA and cholesterol and enriched in PUFA (44,45). 30% of the men had CVD. The baseline plasma cholesterol was 233mg/dL and on treatment there was a 13% decrease in the experimental diet compared to controls. Over 8 years the primary endpoint of myocardial infarction and sudden death from ischemia were reduced in the experimental diet group (control 67 vs experimental diet 45). The difference in the primary end point of the study-sudden death or myocardial infarction was not statistically significant but when these data were pooled with those for cerebral infarction and other secondary end points, the totals were 96 in the control group and 66 in the experimental group; P=0.01. Fatal atherosclerotic events occurred in 70 patients in the control group and 48 in the experimental group (P<0.05). For all primary and secondary end points the incidence rates were 47.7% and 31.3% for the control and experimental groups respectively (P= 0.02).

 

The Finnish Mental Hospital Study was carried out in two mental hospitals. One hospital was switched to a diet low in SFA and cholesterol and relatively high in PUFA, while the other hospital continued the usual hospital diet (46-48). After 6 years the type of diet was reversed in each hospital. The individuals in this study were hospitalized men between 34 to 64 years of age and women age 44 to 64 years. During the study individuals were removed from the study and others added to the study cohort. The serum cholesterol level on the usual diet was 268mg/dL while on the low SFA diet the serum cholesterol level was 226mg/dL. The incidence of CVD was consistently much lower during the low SFA diet periods than during the normal-diet periods but detailed comparisons are difficult due to the lack of randomization of individuals and the adding and removal of individuals during the study leading to only 36% of the men and 20.6% of the women completing both periods of the study. Nevertheless, this study provides evidence of the benefit of a diet low in SFA and cholesterol and enriched in PUFA.

 

The Sydney Diet Heart Study was a randomized controlled trial conducted from 1966 to 1973 that evaluated the effects of increasing linoleic acid from safflower oil (PUFA ~ 15% of calories) in place of SFA (<10% of calories) in men aged 30-59 years with a history of coronary artery disease (49). Participants were randomized to the dietary intervention group (n=221) or a control group with no specific dietary instruction (n=237). Baseline cholesterol levels were ~280mg/dL and decreased to 267mg/dL in the control group and 244mg/dL in the diet intervention group. Compared with the control group, the intervention group had an increased risk of all-cause mortality (17.6% v 11.8%; P=0.051), cardiovascular mortality (17.2% v 11.0%; P=0.037), and mortality from coronary heart disease (16.3% v 10.1%; P=0.036) over the 5 years of the trial. The reason for the increase in mortality is not clear but the safflower oil margarine substitute for animal fats may have contained trans fatty acids, which could have increased CVD.

 

The DART trial was a multicenter trial in men less than 70 years of age with a diagnosis of an acute myocardial infarction (50). There were several different dietary approaches used in this trial but the one of interest reduced fat intake to 30% of total energy and increased the PUFA/SFA ratio to 1.0 (n=1018) vs. no advice (n=1015). The fat advice group reduced SFA from 15% to 11% of total calories, increased PUFA from 7% to 9%, and increased carbohydrate intake from 44% to 46%. Cholesterol levels were reduced by 3.6% (baseline 252mg/dL) in the diet advice group. During the 2-year trial the number of cardiovascular events were similar in the diet group vs. no advice group.

 

The Minnesota Coronary Survey was a 4.5-year, randomized trial that was conducted in six Minnesota state mental hospitals and one nursing home and included 4,393 men and 4,664 women (51). The trial compared the effects of the usual diet (18% SFA, 5% PUFA, 16% monounsaturated fatty acid (MUFA), 446 mg dietary cholesterol per day) versus a low SFA and cholesterol treatment diet (9% SFA, 15% PUFA, 14% MUFA, 166 mg dietary cholesterol per day). The mean duration of time on the diets was 384 days, with 1,568 subjects consuming the diet for over 2 years. The baseline serum cholesterol level was 207 mg/dL, falling to 175 mg/dL in the treatment group and 203 mg/dL in the control group. No differences between the treatment and control groups were observed for cardiovascular events, cardiovascular deaths, or total mortality, perhaps due to the relatively short duration of this study.

 

The Women’s Health Initiative trial randomized 19,541 postmenopausal women 50-79 years of age to the diet intervention group and 29,294 women to usual dietary advice (52). The goal in the diet intervention group was to reduce total fat intake to 20% of calories and increase intake of vegetables/fruits to 5 servings/day and grains to at least 6 servings/day. Fat intake decreased by 8.2% of energy intake in the intervention vs the comparison group, with small decreases in SFA (2.9%), MUFA (3.3%), and PUFA (1.5%) with increased consumption of vegetables, fruits, and grains. LDL-C levels were reduced by 3.55 mg/dL in the intervention group while levels of HDL-C and TGs were not significantly different in the intervention vs comparison groups. The dietary intervention did not significantly decrease CVD. In fact, in the women with pre-existing CVD there was an increase in cardiovascular events with diet therapy.

 

Summary of Dietary Randomized Controlled Trials 

 

In reviewing these randomized controlled trials, it appears that the dietary studies that produce a long-term decrease in plasma cholesterol levels resulted in a reduction in cardiovascular events (Oslo Diet-Heart Study, soya-bean trial, Los Angeles Veterans Administration Center, Finnish Mental Hospital Study) while the dietary studies that did not produce a long-term decrease in plasma cholesterol levels failed to demonstrate a reduction in CVD. The baseline plasma cholesterol levels in the positive studies tended to be high and allowed for a robust cholesterol lowering with dietary manipulation. Additionally, as will presented in the next section the greater the reduction in SFA in the diet the greater the decrease in TC and LDL-C levels and many of the positive studies were carried out in an era when the content of SFA in the diet was high. Additionally, studies in non-human primates have also demonstrated that reducing SFA intake reduces atherosclerosis (53,54).

 

These results correspond very nicely with the large number of trials demonstrating that using a variety of different pharmacologic agents that lower plasma cholesterol levels results in a decrease in cardiovascular events (55). In an analysis comparing cholesterol lowering with diet vs. drug therapy it was observed that a similar decrease in cardiovascular events occurred adjusting for the magnitude of cholesterol lowering (56). Thus, it would appear that diets that decrease dietary SFA and thereby lead to a significant decrease in plasma cholesterol levels for an extended period of time have benefits on CVD with the caveat that there is not an increase in other nutrients that will adversely affect other parameters thereby negating the beneficial effects of decreasing SFA. For example, an increase in dietary simple sugars for SFA could lead to an increase in TG levels with negative effects.

 

REVERSAL OF ATHEROSCLEROSIS TRIALS

 

Two studies have examined the effect of decreasing dietary SFA on atherosclerotic lesions.

 

The St Thomas’ Atherosclerosis Regression Study (STARS) determined the effect of decreasing dietary saturated fat in the diet (n=26) vs. usual diet (n=24) in men less than 66 years of age with a plasma cholesterol greater than 234mg/dL referred for coronary angiography to investigate angina pectoris or other findings suggestive of coronary heart disease (57). In the diet group total fat intake was reduced to 27% of dietary energy, saturated fatty acid content to 8-10% of dietary energy, and dietary cholesterol to 100 mg/1000 kcal; omega-6 and omega-3 polyunsaturated fatty acids were increased to 8% of dietary energy, and plant-derived soluble fiber intake was increased to the equivalent of 3-6 g polygalacturonate/1000 kcal. During the trial LDL-C levels were 163mg/dL in the diet intervention group vs.182mg/dL in the usual diet group. Additionally, TGs decreased in the diet intervention group (206mg/dL to 165mg/dl) with no change in TG levels in the usual diet group. After approximately 3 years coronary angiography revealed that the percentage of patients who showed progression of coronary narrowing was significantly reduced by the dietary intervention (usual diet 46% vs, dietary intervention 15%), whereas the percentage who showed an increase in luminal diameter rose significantly (usual diet 4% vs. dietary intervention 38%). While the number of cardiovascular events was small, they were significantly reduced in the dietary intervention group (usual diet 36% vs dietary intervention 11%; p< 0.05). Finally, the improvement in angiographic appearance correlated with LDL-C levels.

 

The Lifestyle Heart Trial was a one year randomized, controlled trial to determine whether lifestyle changes affect coronary atherosclerosis in patients with angiographically documented coronary artery disease (58). Patients were assigned to the lifestyle group (low-fat vegetarian diet, stopping smoking, stress management training, and moderate exercise) (n= 22) or a usual-care control group (n=19). The lifestyle diet contained approximately 10% of calories as fat PUFA/SFA ratio greater than 1), 15-20% protein, and 70-75% predominantly complex carbohydrates. Cholesterol intake was limited to 5 mg/day or less. In the lifestyle group LDL-C decreased from 153mg/dL to 96mg/dl (37% decrease) whereas in the usual care group LDL-C decreased from 168mg/dL to 159mg/dL. Patients in the lifestyle group reported a 91% decrease in the frequency of angina, a 42% decrease in the duration of angina, and a 28% decrease in the severity of angina. In contrast, patients in the usual care group reported a 165% increase in the frequency of angina, a 95% increase in the duration of angina, and a 39% increase in the severity of angina. In the lifestyle group regression of coronary atherosclerosis occurred in 18 of the 22 patients (82%) whereas in the usual care group progression of coronary atherosclerosis occurred in 10 of 19 patients (53%).

 

These two regression trials provide strong support for the results observed in the randomized cardiovascular outcome studies described above i.e., that lowering LDL-C levels by decreasing dietary SFA can reduce atherosclerosis and cardiovascular events.

 

Effect of Dietary Saturated Fatty Acids on Lipid Levels          

 

It should be recognized that when one increases or decreases a particular macronutrient in the diet there needs to be a reciprocal change in another macronutrient to maintain caloric balance.

The effect of substituting PUFA, MUFA, or carbohydrates (CHO) for SFA is shown in table 1. Note that this table shows the effect of replacing 5% of energy from SFA for the indicated dietary component. Thus, going from a diet where 15% of the calories is from SFA to a diet where 10% of the calories is from SFA is estimated to lower LDL-C levels from 6 to 9mg/dL depending on which dietary component replaces the SFA. To keep this decrease in LDL-C in perspective it is estimated that a 40mg/dL decrease in LDL-C induced by statin therapy will result in an approximate 20% decrease in cardiovascular events over a 5 year period of time but the lifetime benefits of a 10 mg/dL decrease in LDL-C due to genetic variants will result in a 16–18% decrease in cardiovascular events (59). The effect on TGs is dependent on the dietary component replacing SFA with CHO resulting in a large increase in TG levels. One should note that there is also a decrease in HDL-C with replacement of SFA (table 2).

 

Table 2. Effect of Decreasing Dietary Saturated Fatty Acids on Lipid Levels

Dietary Component

LDL-C (mg/dL)

TGs (mg/dL)

HDL-C (mg/dL)

PUFA

−9.0    

-2.0

-1.0

MUFA

-6.5

+1.0

-6.0

CHO

-6.0

+9.5

-2.0

PUFA- polyunsaturated fatty acids; MUFA- monounsaturated fatty acids; CHO- carbohydrates.

Effects on lipoprotein lipids of replacing 5% of energy from SFA with the 5% of energy from the specified dietary component. Table adapted from references (26,60).

 

SFA in the diet predominantly increases LDL-C levels, predominantly larger, cholesterol-enriched LDL, with modest increases in HDL-C (60,61). As expected, Apo B and apo AI levels also increase (60). These effects are observed in both men and women (60). The effect of a decrease or increase in SFA intake on lipids and lipoproteins is linear with a consistent effect on serum lipids and lipoproteins across a wide range of SFA intakes (60). Of note the effects of decreasing SFA intake was observed even when the SFA intake was already less than 10% of the daily energy intake. Most studies have suggested that replacement of SFA with carbohydrate or unsaturated fat modestly increases Lp(a) but the results have varied from study to study with replacement of SFA with unsaturated fat from particular food sources such as nuts showing no increase in Lp(a) (62).

 

Individual SFA have diverse biological and cholesterol-raising effects with chain length of SFA playing an important role in determining the effect on lipid and lipoprotein levels. The most commonly consumed SFA are palmitic acid (16:0; major source: vegetable oil, dairy, and meat), stearic acid (18:0; meat, dairy, and chocolate), myristic acid (14:0; dairy and tropical oil, particularly coconut oil) and lauric acid (12:0; dairy and tropical oil). A meta-analysis of 60 controlled trials by Mensink et al. reported an increase in LDL-C and HDL-C concentrations by isocaloric replacement of carbohydrates with palmitic, myristic, and lauric acids (63). As expected, apolipoprotein B and A-I also increase (60,64). Myristic and palmitic acids increased LDL-C and HDL-C levels to a similar extent, whereas lauric acid had the largest LDL-C- and HDL-C-raising effect (63,65). Stearic acid did not increase LDL-C levels (63,65).The lack of an association between stearic acid and changes in LDL-C levels has been linked to a slower and/or less efficient absorption as well as desaturation of stearic acid to oleic acid (66). Compared with carbohydrates, an increased intake of lauric, myristic, palmitic or stearic acid lowered TG levels (63,65). For a specific individual many factors including lifestyle factors such as overall dietary composition and physical activity, clinical conditions such as obesity, insulin resistance and hypertriglyceridemia, as well as genetic factors may modify these responses.

 

MECHANISM FOR THE INCREASE IN LDL-C

 

Dietary SFA have been shown to decrease hepatic LDL receptor activity, protein, and mRNA levels and this results in a decrease in the clearance of circulating LDL leading to increased LDL-C levels (67,68). Additionally, the decrease in LDL receptors could result in an increase in the conversion of intermediate density lipoproteins to LDL rather than clearance by the liver (i.e., LDL production is enhanced).

 

SFA have been shown to decrease the formation of cholesterol esters, a reaction catalyzed by the enzyme acyl CoA:cholesterol acyltransferase (ACAT) (68). Free cholesterol in the endoplasmic reticulum is the primary regulator of the activation of sterol receptor binding protein (SREBP), which translocates to the nucleus and enhances the transcription of the LDL receptor (69). Elevated levels of cholesterol in the endoplasmic reticulum prevents the activation of SREBP (69). When free cholesterol is esterified into cholesterol esters it no longer prevents the activation of SREBP and the up-regulation LDL receptor expression. Thus, SFA by decreasing the formation of cholesterol esters and increasing free cholesterol may lead to the down-regulation of LDL receptor expression (68).

 

DIETARY MONOUNSATURATED AND POLYUNSATURATED FATTY ACIDS

 

Olive oil, canola oil, peanut oil, safflower oil, sesame oil, avocados, peanut butter, and many nuts and seeds are major sources of MUFA (table 3). Soybean oil, corn oil, sunflower oil, some nuts and seeds such as walnuts and sunflower seeds, tofu, and soybeans are major sources of PUFA (table 3). Omega-3-fatty acids, eicosapentaenoic acid (EPA, 20:5) and docosahexaenoic acid (DHA, 22:6), are mostly found in fish and other seafood, while another omega-3 fatty acid, alpha-linolenic acid (ALA, 18:3) is found mostly in nuts and seeds such as walnuts, flaxseed, and some vegetable oils such as soybean and canola oils. The body is capable of converting ALA into EPA and DHA but the conversion rates are low.

 

Table 3. Fat Composition of Oils, Lard, Butter, and Margarine

Type of Oil

SFA (%)

MUFA (%)

PUFA (%)

Corn oil

13.6

28.97

57.43

Safflower oil (linoleic)

6.51

15.1

78.4

Canola oil

7.46

64.1

28.49

Almond oil

8.59

73.19

18.22

Olive oil

14.19

74.99

10.82

Soybean oil

16.27

23.69

60.0

Sesame oil

14.85

41.53

43.62

Sunflower oil (linoleic)

10.79

20.42

68.8

Avocado oil

12.1

73.8

14.11

Peanut oil

17.77

48.58

33.65

Palm oil

51.57

38.7

9.73

Coconut oil

91.92

6.16

1.91

Lard

41.1

47.23

11.73

Butter

68.1

27.87

4.0

Margarine (soft)

20

47

33

Margarine (hard)

80

14

6

U.S. Department of Agriculture

 

Effect of Dietary Monounsaturated and Polyunsaturated Fatty Acids on Cardiovascular Disease

 

MONOUNSATURATED FATTY ACIDS

 

Many meta-analyses, but not all, have failed to demonstrate that MUFA intake reduces cardiovascular events (29,33,35,70). However, one meta-analysis and the Nurses’ Health Study and Health Professionals Follow-Up Study, two very large observational studies, found that MUFA when delivered from plant sources was protective but MUFA from other sources was not protective from developing cardiovascular events (71,72).

 

The PREDIMED a randomized controlled outcome trial employing a Mediterranean diet (increased MUFA) reduced the incidence of major CVD (73-75). In this multicenter trial, carried out in Spain, over 7,000 individuals at high risk for developing CVD were randomized to three diets (primary prevention trial). A Mediterranean diet supplemented with extra-virgin olive oil, a Mediterranean diet supplemented with mixed nuts, or a control diet. In the patients assigned to the Mediterranean diets there was 29% decrease in the primary composite end point (myocardial infarction, stroke, and death from CVD), which was primarily due to a decrease in strokes. The Mediterranean diet resulted in a small but significant increase in HDL-C levels and a small decrease in both LDL-C and TG levels (76). The changes in lipids were unlikely to account for the beneficial effects of the Mediterranean diet on CVD.

 

The Lyon Diet Heart Study randomized 584 patients who had a myocardial infarction within 6 months to a Mediterranean type diet vs usual diet (77,78). The oils recommended for salads and food preparation were rapeseed and olive oils exclusively. Additionally, they were also supplied with a rapeseed (canola) oil-based margarine. There was a marked reduction in events in the group of patients randomized to the Mediterranean diet (cardiac death and nonfatal myocardial infarction rate was 4.07 per 100 patient years in the control diet vs.1.24 in the Mediterranean diet; p<0.0001). Lipid levels were similar in both groups in this trial (77).

 

The CORDIOPREV study was a single center randomized trial that compared a Mediterranean diet to a low-fat diet in 1,002 patients with cardiovascular disease (79). The Mediterranean diet contained a minimum of 35% of the calories as fat (22% monounsaturated fatty acids, 6% polyunsaturated fatty acids, and <10% saturated fat), 15% proteins, and a maximum of 50% carbohydrates while the low-fat diet contained less than 30% of total fat (<10% saturated fat, 12–14% monounsaturated fatty acids, and 6–8% polyunsaturated fatty acids), 15% protein, and a minimum of 55% carbohydrates. The risk of an ASCVD event was reduced by approximately 25-30% in the Mediterranean diet group. Whether these diets differed in their effects on fasting lipid levels has not been reported.

 

The results of these three randomized trials indicate that a Mediterranean diet enriched in plant MUFA reduce the risk of CVD. It is likely that the beneficial effects of the Mediterranean diet on CVD is mediated by multiple mechanisms with alterations in lipid levels making only a minor contribution. It should be noted that in addition to an increase in MUFA the diet also includes low to moderate red wine consumption, high consumption of whole grains and cereals, low consumption of meat and meat products, increased consumption of fish, and moderate consumption of milk and dairy products. As in many dietary studies it is difficult to change a single variable and therefore the interpretation of which factor or factors account for the benefits is difficult to untangle.

 

POLYUNSATURATED FATTY ACIDS

 

Recent meta-analyses of the effect of PUFA on cardiovascular events in observational studies have demonstrated either no effect or a modestly lower risk of CVD and mortality (80-84). Randomized trials are described in the section on saturated fats and CVD and describe the results of replacing SFA with PUFA. It appears that dietary PUFA has a neutral effect on CVD except in the circumstances where it replaces SFA and results in a sustained decrease in plasma cholesterol levels leading to a decrease in cardiovascular events.

 

OMEGA-3-FATTY ACIDS

 

As discussed in detail in the chapter entitled “Triglyceride  Lowering Drugs” numerous randomized controlled trials of the effect of low dose omega-3-fatty acids (approximately ≤1 gram/day) on CVD have been published and the bulk of the evidence indicates no benefit (85). The effect of pharmacologic doses of omega-3-fatty acids (≥1.8 grams/day) on cardiovascular outcomes is discussed in the chapter entitled “Triglyceride  Lowering Drugs” (85).

 

Effect of Dietary Monounsaturated and Polyunsaturated Fatty Acids on Lipid Levels

 

Table 4 shows the effect of substituting PUFA or MUFA for carbohydrates on LDL-C, HDL-C, and TG levels. Both PUFA and MUFA decrease LDL-C and TGs but PUFA induces a greater decrease (60). Both PUFA and MUFA increase HDL-C levels (60).

 

Table 4. Effect of Decreasing Dietary Carbohydrate on Lipid Levels

Dietary Component

LDL-C (mg/dL)

TGs (mg/dL)

HDL-C (mg/dL)

PUFA

-4.3

-9.2

1.2

MUFA

-1.8

-6.6

1.6

PUFA- polyunsaturated fatty acids; MUFA- monounsaturated fatty acids;

Effects on lipoprotein lipids of replacing 5% of energy from carbohydrates with the 5% of energy from the specified dietary component. Table adapted from reference (60).

 

In a meta-analysis of 14 studies no significant differences in TC, LDL-C, or HDL-C  levels were observed when diets high in MUFA or PUFA were compared directly (86). TG levels were modestly but consistently lower on the diets high in PUFA (P = .05) (86).

 

While high dose omega-3-fatty acids (3-4 grams/day) lower TG levels, lower doses (≤1 gram/day) have minimal effects on lipid levels (85).

 

MECHANISM FOR THE DECREASE IN LDL-C

 

Unsaturated fatty acids increase hepatic LDL receptor activity, protein, and mRNA abundance, which will increase the clearance of LDL from the circulation (67,68). Unsaturated fatty acids are a preferred substrate for ACAT and thereby result in an increase in cholesterol ester formation and a decrease in free cholesterol in the liver (68). A decrease in hepatic free cholesterol will result in the up-regulation of LDL receptor expression leading to a decrease in LDL-C levels. PUFA also increase membrane fluidity leading to an increase in the ability of LDL receptors to bind LDL (67). Additionally, the increase in LDL receptors could result in a decrease in the conversion of intermediate density lipoproteins (IDL) to LDL due to increased uptake of IDL by the liver (i.e., LDL production is decreased).

 

DIETARY TRANS FATTY ACIDS

 

The two major sources of dietary trans fatty acids (TFA) are those that occur naturally in meat and dairy products as a result of anaerobic bacterial fermentation in ruminant animals and those formed during the partial hydrogenation of vegetable fat (the fatty acids in vegetable oils have cis double bonds) (87). Partial hydrogenation and the formation of TFA converts the liquid vegetable oil into a solid form at room temperature allowing for ease of use in food products and increased shelf life (87,88). TFA acids were widely used in baked products, packaged snack foods, margarines, and crackers (88). With the recognition of the adverse effects of TFA the use of partial hydrogenated oils in food products has markedly diminished World-wide and in the US is no longer allowed.

 

Effect of Trans Fatty Acids on Cardiovascular Disease

 

A meta-analysis by de Souza and colleagues of 5 studies with 70,864 participants found that the relative risk of coronary heart disease mortality disease was increased with dietary TFA (1.28; p=0.003) (34). Similarly, the relative risk of coronary heart disease was also increased (1.21; p<0,001) (34). Another meta-analysis by Chowdhury and colleagues of 5 studies with 155,270 participants found that the relative risk of coronary events was increased with higher intake of TFA (RR 1.16; CI 1.06-1.27) (33). It has been estimated that a 2 percent increase in energy intake from TFA was associated with a 23 percent increase in the incidence of coronary heart disease (88). Thus, observational studies have consistently demonstrated that an increase in dietary TFA increase the risk of CVD. Clearly it would not be ethical to carry out randomized trials of the effect of TFA acids on CVD.

 

Effect of Trans Fatty Acids on Lipid Levels

 

The effect of replacing SFA, MUFA or PUFA with TFA acids is shown in table 5. TFA increase LDL-C levels and decrease HDL-C levels. Of note TFA increase LDL-C even when substituting for SFA. There appears to be a nearly linear relationship between TFA intake and LDL-C concentration, but this relationship does not seem to exist between TFA intake and HDL-C (89). HDL-C seems to be lowered significantly by TFA only when intake is >2% to 4% of the total energy intake (89). TFA also increases TG and Lp(a) levels (88). Additionally, dietary TFA increases small dense LDL and the increase correlates with the quantity of TFA in the diet (90). 

 

Table 5. Effect on Lipids of Replacing Various Fatty Acids with Trans Fatty Acids

Dietary Component

LDL-C (mg/dL)

HDL-C (mg/dL)

SFA

2.0

-2.0

PUFA

11.5

-1.3

MUFA

9.5

-1.5

SFA- saturated fatty acids; PUFA- polyunsaturated fatty acids; MUFA- monounsaturated fatty acids. All results are statistically significant (P<0.05) except the increase in LDL-C with SFA replacement. Effects on lipoprotein lipids of replacing 5% of energy from various fatty acids with 5% of the energy from TFA. Table adapted from reference (88).

 

Replacing carbohydrates with TFA results in an increase in LDL-C and apo B and no change in HDL-C, apo AI, or TG levels (63).

 

RUMINANT TRANS FATTY ACID

 

A key question now that TFA derived from partial hydrogenation of vegetable fat in the diet have been markedly reduced is whether ruminant derived TFA which are present in milk, butter, cheese, and beef have harmful effects similar to industrial created TFA. It is important to note that ruminant derived TFA have a different composition with ruminant TFA being enriched in vaccenic acid, which is the predominant TFA, and conjugated linoleic acid (89,91). Also the quantities of ruminant TFA ingested is much lower than the quantities of industrial TFA ingested (89). In an analysis of a large number of studies of the effect of ruminant and industrial TFA on lipid levels it was observed that the effect of ruminant TFA on LDL-C and HDL-C was similar but slightly less than that of industrial TFA (the difference was not significant) (91). Whether the low quantities of ruminant TFA in the diet will influence the risk of CVD is unknown (89) but a meta-analysis of 4 observational trials did not find a link between ruminant-TFA intake (increments ranging from 0.5 to 1.9 g/day) and the risk of CHD (RR=0.92; CI 0.76-1.11; P=0.36) (92). Another meta-analysis also did not find a link between ruminant TFA and CVD (34). 

 

MECHANISM FOR THE LIPID EFFECTS OF TRANS FATTY ACIDS

 

The mechanism for the increase in LDL-C levels by dietary TFA is thought to be due to decreased LDL-Apo B catabolism without a change in LDL-Apo B production (87,93). The decrease in HDL-C induced by TFA has been attributed to an increase in HDL Apo A-I catabolism without a significant change in HDL apoA-1 production rate (87,93). Additionally, TFA increases CETP activity which could increase the transfer of cholesterol esters from HDL to LDL thereby contributing to the decreased HDL-C levels and increased LDL-C levels (94).

 

DIETARY CHOLESTEROL

 

The primary food sources of dietary cholesterol are egg yolks, shrimp, beef, pork, poultry, cheese, and butter with the top five food sources being eggs and mixed egg dishes, chicken, beef, burgers, and cheese (table 6) (95). In the US the typical cholesterol intake varies from 50 to 400mg per day with a mean of 293 mg/day (348 mg/day for men and 242 mg/day for women) (96).

 

Table 6. Cholesterol Content of Food

Food

mg per 100 grams

Egg

373

Butter

215

Shrimp

125

Cheese

108

Beef

90

Chicken

88

Pork

80

Ice Cream

47

 

Effect of Dietary Cholesterol on Cardiovascular Disease

 

In reviews of prospective observational studies an association between dietary cholesterol and CVD has not been clearly demonstrated with some studies reporting an association and others no association (97,98). Most of these studies did not adjust for the amount and types of fatty acids consumed, which could influence the results as foods containing large amounts of cholesterol are also rich in SFA. Dietary cholesterol was not associated with cardiovascular risk among >80,000 nurses and 43,000 male health care professionals after adjusting for energy intake, PUFA, trans fatty acid, and SFA intake (99,100).

 

Most foods that contain cholesterol also contain significant amounts of SFA. An exception are eggs which contain significant amounts of cholesterol and only small amounts of SFA (95). It is therefore of interest to examine the effect of egg consumption on CVD. In an analysis of 7 cohort studies no association between egg intake and coronary heart disease was observed and egg intake may be associated with a reduced risk of stroke (101). A recent meta-analysis of 23 prospective studies with 1,415,839 individuals and a median follow-up of 12.28 years also found that increased consumption of eggs was not associated with increased risk of CVD (102). Other meta-analyses and reviews have also not demonstrated a consistent link between eggs and CVD (98,103-105). However, a recent very large meta-analysis with 3,601,401 participants with 255,479 events showed that the consumption of 1 additional 50-g egg daily was associated with a very small increase in CVD risk (pooled relative risk, 1.04; 95% CI 1.00-1.08) (106). Thus, eggs have either no effect or a very small effect on CVD that can be seen only in very large studies.

 

There appears to be no randomized studies of the effect of decreasing cholesterol intake on CVD. Do recognize that the studies of decreasing dietary SFA intake described earlier also result in a decrease in cholesterol intake. Thus, at this time there is very limited data linking dietary cholesterol intake with an increased risk of CVD. 

 

Effect of Dietary Cholesterol on Lipid Levels   

 

In a meta-analysis of fifty-five studies with 2,652 subjects the predicted change in LDL-C levels for an increase of 100 mg dietary cholesterol per day adjusted for dietary fatty acids ranged from 1.90mg/dL to 4.58 mg/dL depending upon the model employed (107). An increase of 200mg dietary cholesterol per day increased LDL-C levels from 3.80mg/dL to 6.96mg/dL. It should be noted that the effect of dietary cholesterol levels is greater the higher the LDL-C level (107). For a baseline LDL-C level of 100, 125, 150, and 175 mg/dL the predicted increase in LDL-C for a change in dietary cholesterol of 100mg is 2.7, 3.6, 4.6, and 5.5 mg/dL respectively (107). While the absolute increase is greater if the LDL-C level is higher the percentage increase is similar. Moreover, cholesterol feeding does not alter number of LDL particles – instead it increases the cholesterol content of the LDL particles leading to the formation of large buoyant LDL (108).

 

The effect of dietary cholesterol on HDL-C levels differs in males and females. In men an increase of 100mg of dietary cholesterol results in a 0.30 to 1.44mg/dL decrease in HDL-C levels while in women this results in a 0.50 to 1.61 increase in HDL-C levels (107). Dietary cholesterol does not impact TG or VLDL cholesterol levels (97). 

 

Approximately 15-25% of the population have an increased response to dietary cholesterol with greater increases in LDL-C levels (i.e., sensitive or hyper-responders), while the majority respond minimally (i.e., non-sensitive or hypo-responders) (109). An intake of 100 mg/day dietary cholesterol leads to a 3-4-fold difference in LDL-C concentration between hyper- and hypo-responders (an increase of 2.84 mg/dL vs. 0.76 mg/dL (110). The mechanism for the increase in cholesterol absorption in hyper-responders is unknown. On average 50% (typical range 40-60%) of dietary cholesterol is absorbed but this varies from person to person (111). A high-cholesterol diet leads to significant increases in non-HDL-C levels in insulin-sensitive individuals but not in lean or obese insulin-resistant subjects whereas HDL-C levels increased in all 3 groups (112). The above observations demonstrate the variable response of lipid and lipoprotein levels that can occur in response to dietary manipulations and emphasize how the response of an individual can be variable.

 

MECHANISM FOR THE INCREASE IN LDL-C

 

The increase in LDL-C levels by dietary cholesterol is due to a decrease in hepatic LDL receptors (111). Cholesterol absorbed by the small intestine is packaged into chylomicrons which deliver dietary cholesterol to the liver (111). This increases hepatic cholesterol levels which down-regulates the expression of LDL receptors leading to a decrease in the clearance of LDL from the circulation (111). Additionally, the decrease in LDL receptors could result in an increase in the conversion of intermediate density lipoproteins to LDL rather than clearance by the liver (i.e., LDL production is enhanced).

 

DIETARY CARBOHYDRATES

 

Carbohydrates (CHO) can be divided into high-quality CHO, for example fruits, legumes, vegetables, and whole grains, or low-quality CHO, which include refined grains (such as white bread, white rice, cereal, crackers, and bakery desserts), starches (potatoes), and added sugars (sugar-sweetened beverages, candy). The high-quality CHO are typically enriched in fiber and have a low glycemic index/glycemic load (i.e., are slowly absorbed and thus do not rapidly increase plasma glucose levels). The low-quality CHO have a high glycemic index and load and rapidly increase plasma glucose levels.

 

Effect of Dietary Carbohydrates on Cardiovascular Disease

 

OBSERVATIONAL STUDIES

 

When SFA is replaced by CHO there is no reduction in CVD whereas replacement of SFA with high quality CHO may be beneficial (27,37,38). A study by Jakobsen and colleagues found that replacing SFA with CHO with a low-glycemic index value is associated with a lower risk of myocardial infarction whereas replacing SFA with CHO with a high-glycemic index values is associated with a higher risk of myocardial infarction (113). Meta-analyses and reviews of the association of glycemic index with CVD have varied with some showing an association of low glycemic index with CVD and others reporting no link (114,115). Two very large studies found that a diet with a high glycemic index was associated with an increased risk of cardiovascular disease (116,117). It should be noted that in the largest study the relative risk for CVD was relatively modest (RR 1.15; 95% CI 1.11-1.19) (117). An increase in cardiovascular morbidity and mortality was associated with an increase in added sugar intake (118-121). Hazard ratios were 1.30 (95% CI- 1.09-1.55) and 2.75 (95% CI-1.40-5.42), respectively, comparing participants who consumed 10.0% to 24.9% or 25.0% or more calories from added sugar with those who consumed less than 10.0% of calories from added sugar (118). Additionally, in the Health Professionals Follow-up Study participants in the top quartile of sugar-sweetened beverage intake had a 20% higher relative risk of coronary heart disease than those in the bottom quartile (RR=1.20; 95% CI- 1.09-1.33) after adjustment for multiple risk factors (122).

 

RANDOMIZED CONTROLLED TRIALS

 

Three of the randomized trials described above in the SFA and CVD section provide information on the role of CHO on CVD. The British Medical Research Council studied 252 men after a myocardial infarction aiming to reduce total fat from 41% to 22% of calories and maintaining total fat at 41% in the control group (41). The type of fat was similar in the high- and low-fat groups, mainly saturated fat from dairy products and meat. It is likely that the decrease in fat calories was substituted by an increase in CHO calories. The type of CHO that replaced the SFA was not specified but the authors indicated that there was a marked increase in sugar intake in the low- fat diet group. There was no difference between the two groups in cardiovascular events during the 5 years of the trial. The DART study decreased SFA which were substituted with PUFA and CHO (50). During the 2-year trial cardiovascular events were similar in the decreased SFA vs. PUFA and CHO group. Finally, the Women’s Health Initiative trial randomized 19,541 postmenopausal women 50-79 years of age to the diet intervention group and 29,294 women to usual dietary advice (52). The goal in the diet intervention group was to reduce total fat intake to 20% of calories and increase intake of vegetables/fruits to 5 servings/day and grains to at least 6 servings/day (i.e., CHO}. Fat intake decreased by 8.2% of energy intake in the intervention vs the comparison group, with small decreases in SFA (2.9%), MUFA (3.3%), and PUFA (1.5%) fat with increased consumption of CHO. The dietary intervention did not significantly decrease CVD even though the CHO recommended was high quality CHO. These randomized studies do not provide support for a benefit of substituting CHO for fat in reducing CVD. Of particular note is the Women’s Health Initiative which decreased fat intake and increased high quality CHO and observed no cardiovascular benefits in contrast to the results of observational studies.

 

Effect of Dietary Carbohydrates on Lipids

 

Replacing SFA, MUFA, or PUFA with CHO results in an increase in TGs and a decrease in HDL-C levels (60,63). Replacing SFA with CHO results in a decrease in LDL-C while replacing MUFA or PUFA with CHO results in an increase in LDL-C (see tables 2 and 4) (60,63). In addition, dietary CHO increases the quantity of small dense LDL particles (123). The consumption of moderate amounts of fructose or sucrose (40-80 grams/day) in healthy young men was sufficient to increase small dense LDL levels (124). The effect of increasing dietary CHO on Lp(a) levels has been variable (62).

 

Conversely, decreasing CHO in the diet and adding fat results in an increase in LDL-C and HDL-C levels and a decrease in TG levels (125). In a meta-analysis of eleven randomized controlled trials with 1,369 participants comparing low fat/high CHO diet to high fat/low CHO diet it was found that the high fat/low CHO led to an increase in LDL-cholesterol (6.24mg/dL; 95 % CI 0.12- 12.9) and HDL-C (5.46mg/dL; 95% CI 3.51- 7.41) compared with subjects on the low fat/high CHO diets (126). The high fat/low CHO decreased TG levels (-22.9mg/dL; 95 % CI -13.4- -32.6 (126). Another meta-analysis of 23 randomized controlled trials also found that a high fat/low CHO diet increased LDL-C and HDL-C levels and decreased TG levels (127). These studies nicely demonstrates that a high fat diet will increase LDL-C and HDL-C levels while a high CHO diet will increase TG levels and decrease HDL-C levels.

 

COMPARISON OF DIFFERENT CARBOHYDRATES ON LIPIDS

 

A meta-analysis of twenty-eight randomized controlled trials comparing low- with high glycemic index diets (1,272 participants) reported that low glycemic index diets significantly decreased LDL-C levels by 6.2mg/dL; P < 0.0001) with no effect on HDL-C or TGs (128). The decrease in LDL-C was related to the amount of fiber and/or phytosterols in the low glycemic diet (see Fiber and Plant Sterols/Stanols section below).

 

High fructose corn syrup (HFCS) has become a major source of fructose intake (HFCS made for beverages contains 55% fructose and 45% glucose). Because sucrose and HFCS are major contributors to total CHO intake there has been interest in the effect of fructose, glucose, and sucrose on lipid levels. In a comparison of isocalorically substituting starch for glucose, fructose, or sucrose there were no difference in TG levels but there was a decrease in LDL-C (approximately 7.8mg/dL) (129).

 

A meta-analysis by Te Morenga and colleagues examined the effect of the addition of sugar on lipid levels. In studies where energy intake was isocaloric, sugar intake increased TG levels by 11.7mg/dL, LDL-C by 6.6mg/dL, and HDL-C by 0.8mg/dL (130). In a similar meta-analysis by Fattore and colleagues an isocaloric substitution of free sugars for complex CHO increased TGs by 8.3mg/dL, LDL-C by 7.1mg/dL, and HDL-C by 1.3mg/dL (131). The increase in TG and LDL-C levels were larger in the trials where greater amounts of free sugar were employed.

 

In a meta-analysis of adding fructose to the diet there was no significant effect on fasting TG levels at dietary fructose < 100 grams per day but at higher amounts fructose increased fasting TG levels (132). Fructose is more likely to have adverse effects on lipids when intake is high and/or when caloric excess is present. For example, in young healthy individuals, a 2-week intervention with 25% of energy requirements as HFCS or fructose sweetened beverages resulted in significant increases in fasting LDL-C, small dense LDL particles, non-HDL-C, apo B, and HDL-C and postprandial TGs (133). High quantities of glucose did not affect LDL-C, non-HDL-C, Apo B, HDL-C, or postprandial TG levels but did increase fasting TG levels (133).

 

Thus, the effect of CHO on lipids can vary depending upon the particular type of CHO studied (table 7). In the case of glycemic index (complex CHO) and starch vs sugar some of the difference in lipid response could be due to other dietary constituents (i.e., fiber, phytosterols).

 

Table 7. Summary of the Effect of Different Carbohydrates on Lipid and Lipoproteins

Comparisons

Effect on Lipids and Lipoproteins

Low GI vs. High GI

High GI increases LDL-C

Sugar vs. Starch

Sugar increases LDL-C

Sugar vs. Complex CHO

Sugar increases LDL-C and TGs

Fructose vs. Glucose

Fructose increases LDL-C and HDL-C and postprandial TGs

Sugar- sucrose, glucose, or fructose

 

MECHANISM OF THE EFFECTS OF CARBOHYDRATES ON LIPIDS

 

Dietary CHO promote hepatic de novo fatty acid synthesis by providing substrate for fatty acid synthesis (Figure 1). This is particularly the case when there is caloric excess. Additionally, the glucose provided by dietary CHO stimulates insulin secretion which also increases hepatic fatty acid synthesis. The increase in fatty acid synthesis in the liver enhances TG synthesis which promotes VLDL formation and secretion leading to an increase in plasma TG levels. 

 

Figure 1. Carbohydrates stimulate VLDL production by stimulating de novo fatty acid synthesis.

 

Fructose is more potent at increasing de novo fatty acid synthesis than glucose. Small quantities of fructose in the diet are metabolized in the small intestine to glucose and organic acids and do not affect systemic metabolism while high quantities of fructose can escape intestinal metabolism and are delivered to the liver (134). In the liver fructose but not glucose activates SREBP1c and ChREBP leading to the increased expression of the genes that synthesize fatty acids stimulating hepatic lipogenesis (134,135). Additionally, fructose metabolism in the liver is not inhibited providing an unlimited supply of fructose carbons for lipogenesis. In contrast, the first steps in glucose metabolism can be inhibited and thus the utilization of glucose for lipogenesis is regulated (134). In addition, fructose inhibits fatty acid oxidation whereas glucose does not (135). These differences in the metabolism of fructose and glucose in the liver explain the increased ability of fructose to stimulate hepatic lipogenesis and the enhanced formation and secretion of VLDL. In the addition to increased VLDL production fructose does not stimulate the secretion of insulin, which plays a key role in stimulating lipoprotein lipase activity and the clearance of TG rich lipoproteins. The failure of dietary fructose to induce an increase in lipoprotein lipase activity may lead to a decrease in the clearance of TG rich lipoproteins compared to dietary glucose, which stimulates insulin secretion.

 

The elevation in TG rich lipoproteins in turn may have effects on other lipoproteins (25) (Figure 2). Specifically, cholesterol ester transfer protein (CETP) mediates the equimolar exchange of TGs from TG rich VLDL and chylomicrons for cholesterol from LDL and HDL (25). The increase in TG rich lipoproteins per se leads to an increase in CETP mediated exchange, increasing the TG content and decreasing the cholesterol content of both LDL and HDL particles. This CETP-mediated exchange underlies the commonly observed reciprocal relationship of low HDL-C levels when TG levels are high and the increase in HDL-C when TG levels decrease. The TG on LDL and HDL are then hydrolyzed by hepatic lipase and lipoprotein lipase leading to the production of small dense LDL and small HDL particles.

 

Figure 2. The effect of hypertriglyceridemia on LDL and HDL.

 

DIETARY PROTEIN

 

Effect of Dietary Protein on Cardiovascular Disease

 

In a meta-analysis of 10 studies with 425 ,781 participants intake of plant protein was associated with a decrease in cardiovascular mortality (136). Other meta-analyses have also found that intake of plant proteins was associated with a lower risk of cardiovascular mortality (137-139). In some but not all studies animal protein intake increased the risk of cardiovascular mortality (136-139). The differences in outcomes observed between plant and animal proteins could be due to increased intake of SFA with animal proteins and increased fiber and phytosterol intake with plant proteins. 

 

Effect of Dietary Protein on Lipids

 

Because a high protein diet is often associated with an increase in SFA intake it is important to control for this variable in determining the effect of dietary protein on lipid levels. In a meta-analysis of a high vs. low protein diets in individuals on a low-fat diet no difference in LDL-C, HDL-C, or TG levels were observed (140). In another meta-analysis of 24 trials with 1,063 participants that compared isocaloric diets matched for fat intake but with differences in protein and CHO  intakes no differences in LDL-C and HDL-C levels were observed but TG levels were decreased in the high protein diet group (-20.2mg/dL) (141). Greater weight loss and decreased CHO intake in the high protein diet group likely contributed to the decrease in TGs. In a meta-analysis where fat intake was not controlled the high protein diet was associated with an increase in HDL-C levels and a decrease in TG levels (142). It is obviously difficult to determine the effect of dietary protein on lipid levels as other dietary constituents are changing (SFA, CHO) and secondary effects induced by changes in protein intake (weight loss) could influence lipid levels.

 

DIETARY FIBER

 

Dietary fiber are non-digestible carbohydrates including non-starch polysaccharides, cellulose, pectins, hydrocolloids, fructo-oligosaccharides and lignin. Fiber is found mostly in fruits, vegetables, whole grains, nuts, seeds, psyllium seeds, beans, and legumes. There are two main types of dietary fiber; soluble and insoluble. The main sources of soluble fiber are fruits and vegetables and insoluble fiber are cereals and whole-grain products. Most high fiber foods contain both soluble and insoluble fiber. A summary of the fiber content of some foods is shown in tables 8-11.

 

Table 8. Fiber Content of Selected Vegetables

Vegetables

 

Serving

Size

Total Fiber/ Serving (g)

Soluble Fiber/ Serving (g)

Insoluble Fiber/ Serving (g)

Cooked vegetables

Turnip

½ cup

4.8

1.7

3.1

Peas, green, frozen

½ cup

4.3

1.3

3.0

Okra, frozen

½ cup

4.1

1.0

3.1

Potato, sweet, flesh

½ cup

4.0

1.8

2.2

Brussels sprouts

½ cup

3.8

2.0

1.8

Asparagus

½ cup

2.8

1.7

1.1

Kale

½ cup

2.5

0.7

1.8

Broccoli

½ cup

2.4

1.2

1.2

Carrots, sliced

½ cup

2.0

1.1

0.9

Green beans, canned

½ cup

2.0

0.5

1.5

Beets, flesh only

½ cup

1.8

0.8

1.0

Tomato sauce

½ cup

1.7

0.8

0.9

Corn, whole, canned

½ cup

1.6

0.2

1.4

Spinach

½ cup

1.6

0.5

1.1

Cauliflower

½ cup

1.0

0.4

0.6

Turnip

½ cup

4.8

1.7

3.1

Raw vegetables

Carrots, fresh

1, 7 ½ in. long

2.3

1.1

1.2

Celery, fresh

1 cup chopped

1.7

0.7

1.0

Onion, fresh

½ cup chopped

1.7

0.9

0.8

Pepper, green, fresh

1 cup chopped

1.7

0.7

1.0

Cabbage, red

1 cup

1.5

0.6

0.9

Tomato, fresh

1 medium

1.0

0.1

0.9

Mushrooms, fresh

1 cup pieces

0.8

0.1

0.7

Cucumber, fresh

1 cup

0.5

0.2

0.3

Lettuce, iceberg

1 cup

0.5

0.1

0.4

Adapted from Anderson JW. Plant Fiber in Foods. 2nd ed. HCF Nutrition Research Foundation Inc, PO Box 22124, Lexington, KY 40522, 1990.

 

Table 9. Fiber Content of Selected Legumes

Legumes (cooked)

Serving Size

Total Fiber/ Serving (g)

Soluble Fiber/ Serving (g)

Insoluble Fiber/ Serving (g)

Kidney beans, light red

½ cup

7.9

2

5.9

Navy beans

½ cup

6.5

2.2

4.3

Black beans

½ cup

6.1

2.4

3.7

Pinto beans

½ cup

6.1

1.4

4.7

Lentils

½ cup

5.2

0.6

4.6

Black-eyed peas

½ cup

4.7

0.5

4.2

Chick peas, dried

½ cup

4.3

1.3

3

Lima beans

½ cup

4.3

1.1

3.2

Adapted from Anderson JW. Plant Fiber in Foods. 2nd ed. HCF Nutrition Research Foundation Inc, PO Box 22124, Lexington, KY 40522, 1990.

 

Table 10. Fiber Content of Selected Fruits

Fruits

Serving

Size

Total Fiber/ Serving (g)

Soluble Fiber/ Serving (g)

Insoluble Fiber/ Serving (g)

Apricots, fresh w/skin

4

3.5

1.8

1.7

Raspberries, fresh

1 cup

3.3

0.9

2.4

Figs, dried

1 ½

3

1.4

1.6

Mango, fresh

½ small

2.9

1.7

1.2

Orange, fresh

1 small

2.9

1.8

1.1

Pear, fresh, w/skin

½ large

2.9

1.1

1.8

Apple, red, fresh w/skin

1 small

2.8

1

1.8

Strawberries, fresh

1 ¼ cup

2.8

1.1

1.7

Plum, red, fresh

2 medium

2.4

1.1

1.3

Applesauce, canned

½ cup

2

0.7

1.3

Apricots, dried

7 halves

2

1.1

0.9

Peach, fresh, w/skin

1 medium

2

1

1

Kiwifruit, fresh

1 large

1.7

0.7

1

Prunes, dried

3 medium

1.7

1

0.7

Grapefruit, fresh

½ medium

1.6

1.1

0.5

Blueberries, fresh

¾ cup

1.4

0.3

1.1

Cherries, black, fresh

12 large

1.3

0.6

0.7

Banana, fresh

½ small

1.1

0.3

0.8

Melon, cantaloupe

1 cup cubed

1.1

0.3

0.8

Watermelon

1 ¼ cup cubed

0.6

0.4

0.2

Grapes, fresh w/skin

15 small

0.5

0.2

0.3

Raisins, dried

2 tbsp

0.4

0.2

0.2

Adapted from Anderson JW. Plant Fiber in Foods. 2nd ed. HCF Nutrition Research Foundation Inc, PO Box 22124, Lexington, KY 40522, 1990.

 

Table 11. Fiber Content of Grains

Food

Serving

Size

Total Fiber/ Serving (g)

Soluble Fiber/ Serving (g)

Insoluble Fiber/ Serving (g)

Wheat bran

½ cup

12.3

1.0

2.7

Barley, pearled, cooked

½ cup

3.0

0.8

2.2

Oatmeal, dry

⅓ cup

2.7

1.4

11.3

Bread, pumpernickel

1 slice

2.7

1.2

1.5

Wheat flakes

¾ cup

2.3

0.4

1.9

Bread, rye

1 slice

1.8

0.8

1.0

Bread, whole wheat

1 slice

1.5

0.3

1.2

Rice, white, cooked

½ cup

0.8

trace

0.8

Bread, white

1 slice

0.6

0.3

0.3

Adapted from Anderson JW. Plant Fiber in Foods. 2nd ed. HCF Nutrition Research Foundation Inc, PO Box 22124, Lexington, KY 40522, 1990.

 

Effect of Dietary Fiber on Cardiovascular Disease

 

Several meta-analyses have demonstrated that an increase in total fiber, soluble fiber, and insoluble fiber are associated with a decrease in cardiovascular events (143-148). The greater the intake of fiber the greater the reduction in risk of cardiovascular events.  

 

Effect of Dietary Fiber on Lipids

 

In a meta-analysis of randomized controlled trials the effect of fiber on lipid levels was evaluated (149). Increased dietary fiber decreased total cholesterol (TC) (−7.8mg/dL; 95% CI −13.3 to −2.3), LDL-C (−5.5mg/dL; 95% CI −8.6 to −2.3), and HDL-C levels ( −1.17mg/dL; 95% CI −2.34 to −0.39) (149,150), There was no change in TG levels. A meta-analysis of randomized controlled studies of whole-grain foods vs non-whole-grain foods found that the whole-grain diet lowered LDL-C (-3.51mg/dL; P < 0.01) and TC levels (-4.68mg/dL; P < 0.001) compared with the non-whole grain foods (151). HDL-C and TG levels were not significantly altered by the whole grain diet. Moreover, 3.4 g of psyllium (Metamucil), a soluble fiber, decreased LDL-C with no significant effects on HDL-C or TGs (152,153). In a meta-analysis of 28 randomized trials psyllium lowered LDL by 12.9mg/dL (P < 0.00001) (154). A mean reduction in LDL-C concentrations of about 1.1 mg/dL can be expected for each g of water-soluble fiber in the diet (155,156).

 

MECHANISM OF EFFECT OF FIBER ON LDL-C

 

Fiber is thought to decrease cholesterol absorption by the small intestine (157,158). This leads to a decrease in cholesterol content of chylomicrons and a reduction in the delivery of cholesterol to the liver. The decrease in cholesterol in the liver upregulates LDL receptors resulting in a decrease in plasma LDL-C levels. Fiber may also decrease small intestinal absorption of bile acids which will lead to the increased utilization of hepatic cholesterol for the synthesis of bile acids (159). This will also decrease hepatic cholesterol levels inducing an increase in the expression of LDL receptors lowering plasma LDL-C levels. Finally, colonic fermentation of dietary fiber with production of short-chain fatty acids, such as acetate, propionate, and butyrate, is postulated to inhibit hepatic cholesterol synthesis contributing to a decrease in LDL-C levels (159). 

 

PLANT STEROLS AND STANOLS (PHYTOSTEROLS)

 

Plant sterols and plant stanols (phytosterols) are naturally occurring constituents of plants and are found in vegetable oils, such as corn oil, soybean oil, and rapeseed oil and cereals, nuts, fruits, and vegetables. The intake of plant sterols and stanols is about 200–400 mg/day. The most commonly occurring phytosterols in the human diet are β-sitosterol, campesterol, and stigmasterol. Higher intakes can be achieved by consuming a vegetable-based diets such as a vegetarian diet (400-800mg/day) or by consuming food products enriched with plant sterols or stanols (for example margarines or yogurt). If using foods enriched in phytosterols it is best to take them with main meals to enhance their effectiveness. High doses of phytosterols can affect the absorption of fat-soluble vitamins. The plant sterol and stanol content of different foods is shown in table 12.

 

Table 12. Plant Sterol and Stanol Contents in Different Foods

Food item

Plant Sterols

(mg/100 g)

Plant Stanols

(mg/100 g)

Vegetable oils

Corn oil

686-952

23-33

Rapeseed oil (canola oil)

250-767

2-12

Soybean oil

221-328

7

Sunflower oil

263-376

4

Olive oil

144-193

0.3-4

Palm oil

60-78

Traces

Cereals

Corn

66-178

-

Rye

71-113

12-22

Wheat

45-83

17

Barley

80

2

Millet

77

-

Rice

72

3

Oats

35-61

1

Vegetables

Broccoli

39

2

Cauliflower

18-40

Traces

Carrot

12-16

Traces

Lettuce

9-17

0.5

Potato

7

0.6

Tomato

7

1

Fruits and berries

Avocado

75

0.5

Passion fruit

44

Not detected

Raspberry

27

0.2

Orange

24

Not detected

Apple

12-18

0.8

Banana

12-16

Not detected

Adapted from Piironen V and Lampi AM (160)

 

Effect of Phytosterols on Cardiovascular Disease

 

There is minimal data on the effect of phytosterols on cardiovascular events. From the effect on LDL-C levels one would anticipate that phytosterols would reduce CVD.

 

Effect of Phytosterols on Lipids

 

Plant sterols or plant stanols at a dose of 3 grams per day lowers LDL-C by approximately 12% (161). Higher doses do not dramatically further lower LDL-C levels and lower doses have less effect on LDL-C (for example 2 grams/day lowers LDL-C by 8%) (161).  HDL-C levels are not affected by plant sterols or stanols but TG levels decrease modestly (~6%) with a greater absolute reduction in individuals with high TG level (percent change is the same) (162). To achieve these high doses consuming food products enriched is phytosterols is necessary.

 

MECHANISM OF EFFECT OF PHYTOSTEROLS ON LDL-C

 

Plant sterols or plant stanols reduce LDL-C levels by competing with cholesterol for incorporation into micelles in the gastrointestinal tract, resulting in decreased cholesterol absorption (163). This leads to the decreased delivery of cholesterol to the liver and the up-regulation of LDL-receptor expression lowering LDL-C levels.

 

SUMMARY OF THE EFFECT OF DIETARY CONSTITUENTS ON LIPID LEVELS

 

A summary of the major effects of dietary constituents on lipid levels is shown in table 13, typically under isocaloric feeding conditions in short-term feeding studies. Dietary SFA, TFA, and cholesterol increase LDL-C levels whereas CHO increases TG levels. MUFA, PUFA, fiber and phytosterols decrease LDL-C and TFA decrease HDL-C levels.

 

Table 13. Summary of the Effect of Dietary Constituents on Lipid and Lipoproteins

SFA

Increase LDL-C and modest increase HDL-C

MUFA and PUFA

Decrease LDL-C

TFA

Increase LDL-C and decrease HDL-C

Cholesterol

Increase LDL-C

CHO

Increase TGs, increase greater with simple sugars particularly fructose

Fiber

Decrease LDL-C

Phytosterols

Decrease LDL-C

 

EFFECT OF SPECIFIC FOODS ON CARDIOVASCULAR DISEASE

 

There are a large number of observational trials linking various foods with either an increased or decreased risk of CVD. A large meta-analysis by Micha et al reported that fruits, vegetables, beans/legumes, nuts/seeds, whole grains, fish, yogurt, fiber, seafood omega-3 fatty acids, polyunsaturated fats, and potassium were associated with a decreased risk of CVD while unprocessed red meats, processed meats, sugar-sweetened beverages, and sodium were associated with an increased risk of CVD (164). A similar meta-analysis by Bechthold et al found that whole grains, vegetables and fruits, nuts, and fish consumption were associated with a decrease in CVD while red meat, processed meat, and sugar sweetened beverage consumption was associated with an increase in CVD (165). Note, as discussed in the introduction, observational studies have limitations and cannot be assumed to indicate cause and effect. Additional one can find other meta-analyses that reach different conclusions than the results described above. For example, a meta-analysis by Zeraatkar et al and a meta-analysis by Vernooij et al reached the conclusion that meat and processed meat were not associated with a significant increase in CVD (20,166). Thus, one needs recognize that while these studies can suggest beneficial and harmful effects of eating certain foods more definitive studies are required to be certain. For a detailed analysis of the limitations of observational dietary studies see articles by Ioannidis and Nissen (1,2).

 

Only a single randomized trial has examined the effect of specific foods on CVD events. The DART trial randomized men with an acute myocardial infarction to at least two weekly portions (200-400 g) of fatty fish (mackerel, herring, kipper, pilchard, sardine, salmon, or trout) (n=1015) or no dietary advice (n=1018) (50). After approximately 2 years total mortality was significantly lower (RR 0.71; CI 0.54-0.93) in the fish advice group than in the no fish advice group, due to a reduction in ischemic heart disease deaths. There were no significant differences in ischemic heart disease events (RR 0.84; CI 0.66-1.07). In a separate portion of the DART trial there was also a group of men with an acute myocardial infarction randomized to increased intake of cereal fiber (18 grams/day) (n=1017) vs. no dietary advice (n=1016). No reduction in cardiovascular events was seen in the cereal fiber group.

 

Clearly addition randomized trials are required to determine the true benefits of specific foods on cardiovascular events.

 

EFFECT OF SPECIFIC FOODS ON LIPID LEVELS

 

In contrast to the paucity of randomized controlled trials on the effect of specific foods on cardiovascular disease there are an abundance of studies on the effect of specific foods on lipid and lipoprotein levels. Given the large number of studies in many instances I will cite the results of meta-analyses to provide the reader with the typical effects that are observed. It should be noted that the effect of specific foods on lipid and lipoprotein levels tend to be small and therefore the results can be inconsistent from study to study.

 

Nuts and Seeds

 

The most consumed edible tree nuts are almonds, hazelnuts, walnuts, pistachios, pine nuts, cashews, pecans, macadamias, and Brazil nuts. Peanuts are botanically groundnuts or legumes, and are widely considered to be part of the nut food group. Nuts are generally consumed as snacks (fresh or roasted), in spreads (peanut butter, almond paste), or as oils or baked goods. Seeds come in all different sizes, shapes and colors. Popular seeds include flax, pumpkin, sunflower, chia, sesame, and mustard seeds.

 

Nuts and seeds are rich in MUFAs, such as oleic acid and in PUFAs, such as linoleic acid and alpha-linolenic acid (ALA). They also contain small amounts of SFA. Almonds, cashews, hazelnuts, pistachios and macadamian nuts have a high MUFA content (>50%) content when compared with other nuts. For other nuts (e.g., Brazil nuts, pine nuts, and walnuts) the PUFA content is high (>50%), while peanuts and pecans have been found to contain relatively high levels of both MUFA and PUFA (table 14). Nuts are a good source of dietary fiber, ranging from 4-11 g/100 g and phytosterols.

 

Table 14. Nutrient Composition of Nuts

Nuts

 

PUFA

(g/100 g)

MUFA

(g/100 g)

SFA

(g/100 g)

Fiber

(g/100 g)

Walnuts

47.2

8.9

6.1

6.7

Peanuts

15.6

24.4

6.3

8.8

Pistachios

13.7

23.8

5.6

10.3

Almonds

12.3

31.6

3.8

12.5

Hazelnuts

7.9

45.7

4.5

9.7

Cashews

7.8

23.8

7.8

3.3

Pecans

21.6

40.8

6.2

9.6

Macadamias

1.5

58.9

12.1

8.6

 

Consumption of nuts and seeds lower TC and LDL-C levels in healthy subjects or patients with moderate hypercholesterolemia (167-172). Nuts had no significant or minimal effect on increasing HDL-C. The benefits of nuts and seeds vary depending on the type, nutrient composition, and quantity of nuts and seeds consumed. Studies have noted that the estimated cholesterol lowering effect of nuts was greater in individuals with higher initial values of LDL-C and in those with a lower baseline BMI (169).

 

Walnuts: A meta-analysis on the effect of walnuts on lipid levels that included 365 participants showed a decrease in LDL-C (9.2 mg/dL), while HDL-C or TG were not significantly affected (173). In another meta-analysis that analyzed 1,059 participants with a walnut enriched diet LDL-C was lowered by 5.5 mg/dL (174).

 

Almonds: A meta-analysis of 15 studies with 534 participants found that almonds decreased LDL cholesterol (5.8 mg/dL; 95% CI: -9.91, -1.75 mg/dL) and apo B (6.67 mg/dL; 95% CI: -12.63, -0.72 mg/dL) (175). Triglycerides, apo A1, and lipoprotein (a) showed no differences.

 

Pistachio nuts: A meta-analysis of twelve randomized studies reported that pistachio nuts decreased LDL-C -3.82 mg/dL (95% CI, -5.49 to -2.16) and TG -11.19 mg/dL (95% CI, -14.21 to -8.17) levels without effecting HDL-C levels (176).

 

A meta-analysis by Houston et al analyzed the effect of a variety of different nuts on lipid levels (table 15) (177). They found that in general nuts lowered LDL-C and minimally lowered TG levels but had no effect on HDL-C levels. A meta-analysis found that whole flaxseed reduced TC and LDL-C by 6 and 8 mg/dL, respectively (178). Thus, both nuts and seeds lower LDL-C levels.

 

Table 15. Effect of Nuts on Lipid Levels

 

Number of analyses

Number of participants

Effect estimate (mmol/L)

95% CI

LDL Cholesterol

Almond

32

2439

-0.15 [-0.22, -0.08]

Brazil nut

4

307

-0.30 [-0.70, 0.11]

Cashew nut

3

432

 0.02 [-0.12, 0.16]

Hazelnut

6

374

-0.01 [-0.15, 0.12]

Macadamia

6

410

-0.11 [-0.27, 0.04]

Mixed nuts

10

791

 0.04 [-0.06, 0.14]

Peanut

10

1021

 0.08 [-0.04, 0.20]

Pecan

6

295

-0.23 [-0.46, 0.00]

Pistachio

12

736

-0.15 [-0.30, 0.00]

Walnut

35

2582

-0.12 [-0.18, -0.06]

Triglycerides

Almond

32

2439

-0.02 [-0.05, 0.02]

Brazil nut

4

307

 0.04 [-0.54, 0.63]

Cashew nut

3

432

-0.02 [-0.11, 0.07]

Hazelnut

5

313

 0.11 [-0.02, 0.25]

Macadamia

5

342

-0.10 [-0.21, 0.00]

Mixed nuts

11

888

-0.01 [-0.07, 0.06]

Peanut

10

1021

-0.09 [-0.16, -0.02]

Pecan

6

295

-0.11 [-0.24, 0.03]

Pistachio

9

498

-0.12 [-0.21, -0.03]

Walnut

35

3109

-0.09 [-0.12, -0.06]

Table based on data from a meta-analysis by Houston et al (177). To convert mmol/L cholesterol to mg/dL multiply by 39 and to convert mmol/L triglycerides to mg/dL multiply by 88.

 

Whole Grains

 

Whole grains include barley, brown rice, buckwheat, bulgur (cracked wheat), millet, oatmeal, and wild rice. Whole grains contain ~80% more dietary fiber than refined grains, as the latter are milled, a process that removes bran and germ. Refined grains include white flour, white rice, white bread, and corn flower. Health benefits ascribed to whole grains are mainly due to the presence of fiber and bran. A meta-analysis of fifty-five trials with 3900 participants comparing various grains found that oat bran was the most effective intervention strategy for lowering LDL-C (- 12.5mg/dL; 95% CI – 17.2 to – 7.4mg/dL) compared with control (179). Oats also reduced LDC (- 6.6mg/dL; 95% CI – 10.9 to 2.73mg/dL). Barley, brown rice, wheat and wheat bran were not effective in improving blood lipid levels compared with controls. Another meta-analysis also found that whole-grain oats decreased LDL-C levels (–16.7 mg/dL; P < 0.0001) (180).

 

Soy Protein

 

Soybeans and soy products as well as supplements contain soy proteins. In a meta-analysis of 43 randomized studies with 2,607 participants the decrease in LDL-C levels reductions for soy protein ranged between −4.2 and −6.7 mg/dL (P<0.006) (181). Numerous other meta-analyses have reported similar decreases in LDL-C (182-187).  In addition, soy protein also decreases TG levels (~2-10mg/dL) and increases HDL-C levels (~1-2mg/dL). Soy protein does not affect Lp(a) levels (188). The amount of soy protein that is recommended for lipid lowering is 25–50 grams per day (189).

 

The decrease in LDL-C is due to the indirect effect of soy protein decreasing the intake of animal protein (SFA and cholesterol) and the intrinsic effects of bioactive compounds in soy protein (190). The intrinsic effect of soy protein might be mediated by phyto-estrogens that could increase levels of HDL-C and TG and decrease levels of LDL-C (189).   

 

Garlic

 

Garlic supplements are available in several different forms, including garlic powder, allicin, aged garlic extract, and garlic oil. Several meta-analyses have shown that garlic lowers TC levels with variable effects on LDL-C, HDL-C, and TG (191-198). Some studies find a decrease in LDL-C and others a decrease in TG levels. The longer the duration of treatment and the higher the baseline TC the greater the effect. In one meta-analysis TC was reduced by 17 ± 6 mg/dL and low-density lipoprotein cholesterol by 9 ± 6 mg/dL in individuals with elevated TC levels (>200 mg/dL) if treated for longer than 2 months (191). In another meta-analysis garlic powder and aged garlic extract were more effective in reducing TC levels, while garlic oil was more effective in lowering serum TG levels (192). In a meta-analysis of garlic administration to patients with diabetes TC decreased 16.9mg/dL, LDL decreased 9.7mg/dL, TG decreased 12.4mg/dL, and HDL-C increased 3.19mg/dL (all p=0.001) (199). Lp(a) levels are not altered by garlic (198).The mechanism by which garlic alters lipid levels is unknown.

 

Tea

 

Green tea contains many catechins (e.g., epigallocatechin-3-gallate) that influence lipid metabolism in animal models and have been shown to upregulate LDL receptors in liver and suppress PCSK9 production (200,201). Epigallocatechin gallate may also interfere with the intestinal absorption of lipids (202). Most but not all meta-analyses have shown that drinking green tea or black tea decreases TC and LDL-C levels with no significant effect on HDL-C or TG levels (203-214). The reduction in LDL-C is approximately 5-10mg/dL.

 

Coffee

 

Coffee contains cholesterol-increasing compounds; diterpenes such as cafestol and kahweol (215,216). The amount of these cholesterol increasing compounds in coffee depends on how the coffee is prepared (215,216). Boiling coffee beans extracts diterpenes due to the prolonged contact with hot water resulting in high concentrations in the coffee whereas brewed filtered coffee because of the short contact with hot water and retention of diterpenes by the filter paper has lower concentrations of diterpenes. Instant coffee has very low levels of diterpenes (216). The concentration of the cholesterol-raising compound cafestol is negligible in drip-filtered, instant, and percolator coffee but high in unfiltered coffee such as French press, Turkish, or Scandinavian boiled coffee. Levels of cafestol are intermediate in espresso and coffee made in a Moka pot.

 

A meta-analysis of 18 trials found that the consumption of unfiltered, boiled coffee dose-dependently increased TC and LDL-C concentrations (23 mg/dL and 14 mg/dL, respectively), while consumption of filtered coffee resulted in only small changes (TC increased by 3 mg/dL and no effect on LDL-C concentration) (217). Additionally, decaffeinated coffee had a smaller effect and the increase in cholesterol levels was greatest in individuals with hypercholesterolemia. Thus coffee, depending upon how it is prepared, can increase TC and LDL-C levels.

 

Chocolate and Cocoa

 

Cocoa is the non-fat component of finely ground cocoa beans that is used to produce chocolate. Cocoa is rich in flavanols which are low‐molecular‐weight monomeric compounds, such as epicatechin or complex higher‐molecular‐weight oligomeric and polymeric compounds (218). The flavanol content in cocoa products can vary greatly and is dependent on the crop type, post‐harvest handling practices, and manufacturer processing techniques. The flavanol content of milk and white chocolate is low or even absent (218).

 

In a meta-analysis of 21 studies with 986 participants very small effects on LDL-C and HDL-C levels were observed (LDL-C 2.7mg/dL decrease; HDL-C 1.2mg/dL increase) with no change in TG levels with chocolate and/or cocoa intake (219). In another meta-analysis there was a decrease in TG levels (-8.8mg/dL), an increase in HDL-C (2.3mg/dL), and a non-significant decrease in LDL-C (-10.1mg/dL) (220). In studies where the epicatechin dose was greater than 100mg per day the decrease in LDL-C levels was greater (5.5mg/dL) (219). Another meta-analysis of 19 studies found that LDL decreased by 3.3mg/dL and HDL-C increased by 1.8mg/dL with cocoa intake (221). A meta-analysis of 10 clinical trials with 320 participants that focused on dark chocolate found a 6.23mg/dl decrease in LDL-C with no significant changes in HDL-C and TG (222). Thus chocolate/cocoa causes a small decrease in LDL-C levels. 

 

Alcohol

 

It is recommended that females consume no more than 1 drink per day of alcohol (equivalent to 15 grams per day) and that males consume no more than 2 drinks per day (equivalent to 30 grams per day). Alcohol has a relatively high caloric level (7 calories/gram).

 

EFFECT OF ALCOHOL ON LIPID LEVELS

 

In a meta-analysis of 25 studies with an average consumption of 40.9 grams of alcohol per day HDL-C concentrations increased by 5.1 mg/dL (223). HDL-C levels increased by 0.122- 0.133 mg/dL per gram of alcohol per day. Consuming 30 grams of alcohol a day would therefore increase HDL-C concentrations by approximately 3.99 mg/dL compared with an individual who abstains (an 8.3% increase from pretreatment values). The increase in HDL-C was observed regardless of sex, duration of study, median age, or beverage type but the increase was greater in individuals with baseline HDL-C < 40mg/dL and who were sedentary. As expected apo A1 levels also increased. In a meta-analysis of 35 studies TG concentrations increased by 0.19 mg/dL per gram of alcohol consumed a day (P=0.001) and 5.69 mg/dL per 30 g consumed per day (5.9% increase over baseline) (223). The increase in TG levels was seen regardless of beverage type and appeared to be greater in males than females.

 

In a more recent meta-analysis of 33 studies with 796 participants HDL-C levels were increased by 3.67mg/dL by alcohol intake (224). Apo A1 levels were also increased but there were no significant differences in TC, LDL-C, TG, or Lp(a) with alcohol intake. The greater the consumption of alcohol the greater the increase in HDL-C levels. When the consumption of alcohol was greater than 60 grams per day (4 drinks) TG levels were also increased (24.4mg/dL).

 

In a meta-analysis of 14 studies, comparing 548 beer drinkers and 532 controls TC levels were significantly higher in the beer drinkers compared to controls (difference 3.52 mg/dL; p<0.001) (225). In a meta-analysis of 18 studies, comparing 626 beer drinkers and 635 controls HDL-C levels were higher in the beer drinkers compared to controls (difference 3.63 mg/dL: p<0.001) (225). This increase in HDL-C levels in beer drinkers were seen in both males and females. LDL-C and TG levels were not significantly different between beer drinkers and controls (LDL-C difference -2.85 mg/dL; p = 0.070; TG difference 0.40 mg/dL; p = 0.089) (225).

 

Genetic factors play a role in the HDL response to alcohol (226). Individuals with an apoE2 allele have greater HDL-C increase and those with an apoE4 allele have a blunted increase in HDL-C with alcohol intake (226).In addition to an increase in HDL-C levels studies have suggested that the ability of HDL to facilitate the efflux of cholesterol from cells is enhanced by alcohol intake (226,227).

 

One should note in the meta-analyses described above alcohol doesn’t appear to have a major impact on TG levels. However, it must be recognized that the amount of alcohol consumed is a key variable (228,229). At low to moderate amounts alcohol has either no effect or might even decrease TG levels (228). However, at high amounts of alcohol intake increases in TG levels are observed (228,229). As noted above one meta-analysis noted that the consumption of 60 grams per day of alcohol increased TG levels (224). Moreover, alcohol consumed with a meal increases and prolongs the postprandial increase in TG levels (228,229). Additionally, genetic factors and the presence of other abnormalities play a role in the TG response to alcohol intake (229). For example, the increase in TG levels after red wine was -4%, 17%, and 33% in individuals with a BMI 19.60-24.45, 24.46- 26.29, and 26.30-30.44, respectively (P = .001) demonstrating that the increase in TG was strongly influenced by BMI (230). Finally, in patients with pre-existing hypertriglyceridemia moderate alcohol intake increased TG levels (338 ± 71 mg/dL to 498 ± 117 mg/dL; P < 0.05) (231).  

 

MECHANISM FOR THE EFFECT OF ALCOHOL ON HDL

 

 The mechanism for the increase in HDL-C levels is likely due to an increased production of apo A1 and A2 (232). Additionally, alcohol inhibits cholesteryl ester transfer protein (CETP) activity, which will also increase HDL-C levels (229).

 

MECHANISM FOR THE EFFECT OF ALCOHOL ON TRIGLYCERIDES

 

Alcohol increases VLDL secretion by the liver (229). The increased production and secretion of VLDL is due to a number of factors including a) alcohol increases lipolysis in adipose tissue and increases the delivery of fatty acids to the liver b) alcohol increases hepatic fatty acid transporters increasing the uptake of circulating fatty acids c) alcohol increases hepatic de novo fatty acid synthesis d) alcohol decreases the beta oxidation of fatty acids in the liver (229,233,234). Together these effects lead to an increased supply of fatty acids in the liver facilitating TG synthesis and the formation and secretion of VLDL.

 

While moderate alcohol intake increases lipoprotein lipase (LPL) activity acute alcohol intake inhibits LPL activity, which could explain the observation that alcohol consumed with a meal increases postprandial TG levels ((228,229).

 

Summary of the Effect of Specific Foods on Lipid Levels

 

Table 16. Major Effects of Specific Foods on Lipid Levels

Nuts and Seeds

Decrease TC and LDL-C

Whole Grains

Decrease LDL-C

Garlic

Decrease TC, LDL-C, TG

Green and Black Tea

Decrease TC and LDL-C

Coffee (depends on method of preparation)

Increase TC, LDL-C, TG

Cocoa and Chocolate

Decrease LDL-C

 

SPECIFIC DIETS

 

The effect of several dietary strategies on lipid levels is discussed below. Randomized controlled trials on the effect of specific diets on cardiovascular outcomes were discussed in earlier sections (saturated fatty acids section and monounsaturated fatty acids section).  

 

Mediterranean Diet

 

Mediterranean diets have an abundance of plant foods, including vegetables, legumes, nuts, fruits, and grains, fish, and low to moderate red wine consumption. Low consumption of meat and meat products and moderate consumption of milk and dairy products is encouraged. In the PREDIMED trial the Mediterranean diet resulted in a small but significant increase in HDL-C levels and a small decrease in both LDL-C and TG levels (76). In the Lyon Diet Heart Study lipid levels were similar in the Mediterranean and usual diet groups (77). The cardiovascular outcome benefits of both of these randomized outcome trials are discussed in the effect of MUFA on CVD section. In a meta-analysis of the effect of a Mediterranean diet on lipid levels little or no change in LDL-C, HDL-C, and TGs was observed (235). Another meta-analysis reported a 4.6mg/dL decrease in LDL-C and a 0.61mg/dL increase in HDL-C (236).

 

Dietary Approach to Stop Hypertension (DASH) Diet

 

The DASH diet promotes the consumption of fruits, vegetables, low-fat dairy products, whole grains, poultry, fish, and nuts and a decrease in the intake of red meat, sweets, sugar-containing beverages, total fat, saturated fat, and cholesterol. In the initial DASH trial total fat and SFA intake was reduced in the DASH diet group (total fat 27% vs. 39% of calories; SFA 6.2% vs. 15% of calories). MUFA and PUFA intake were similar but cholesterol intake was decreased (194mg/day vs 324mg/day). As expected, CHO and fiber intake were increase (CHO 59% vs. 49% of calories; fiber 35grams/day vs. 17grams/day). The DASH diet lowered TC (15.6 to 19.5mg/dL), LDL-C (11.7 to 15.5mg/dL), and HDL-C (3.12 to 3.90mg/dL) (237). TG levels were not significantly affected. In a meta-analysis of twenty studies of the DASH diet reporting data for 1917 participants TC was decreased (7.8mg/dL; P=0.001) and LDL was decreased (3.9mg/dL; p<0.03) (238). HDL-C and TG levels were not significantly altered (238). Similar results were seen in other meta-analyses (239,240).

 

Portfolio Diet

 

The portfolio dietary pattern is a plant-based dietary pattern that includes four cholesterol-lowering foods; a) tree nuts or peanuts, b) plant protein from soy products, beans, peas, chickpeas, or lentils, c) viscous soluble fiber from oats, barley, psyllium, eggplant, okra, apples, oranges, or berries, and d) plant sterols initially provided in a plant sterol-enriched margarine. In a meta-analysis of 5 studies with 439 participants LDL-C was lowered by 17% (28.5mg/dL; p< 0.001) and TGs by 16% (24.6mg/dL; p< 0.001) with no change in HDL-C or weight (241).

 

Nordic Diet

 

The Nordic diet is based on the consumption of different healthy foods such as whole grains, fruits (such as berries, apples, and pears), vegetables, legumes (such as oats, barley, and almonds), rapeseed oil, fatty fish (such as salmon, herring and mackerel), shellfish, seaweed, low-fat choices of meat (such as poultry and game), low-fat dairy, and decreased intake of salt and sugar-sweetened products. In a meta-analysis of 5 studies LDL-C was decreased by 11.7mg/dL (p= 0.013) with no changes in TG or HDL-C levels (242). In another meta-analysis of 6 studies LDL-C was decreased by 10.1mg/dL with no changes in TG or HDL-C levels (243).

 

Ketogenic Diet

 

Low CHO diets can contain variable amounts of CHO. When the CHO levels are very low, they stimulate the formation of ketones. In a typical ketogenic diet CHO contribute <10% of calories (< 50 grams/day), protein approximately 30% of calories, and fat approximately 60% of calories with no restrictions on the type of fat or cholesterol levels. These diets can be high in beef, poultry, fish, oils, various nuts/seeds, and peanut butter, with moderate amounts of vegetables, salads with low-carbohydrate dressing, cheese, and eggs. Fruits and fruit juices, most dairy products with the exception of hard cheeses and heavy cream, breads, cereals, beans, rice, desserts/sweets, or any other foods containing substantial amounts of CHO are avoided.

 

It is well recognized that a ketogenic diet results in an increase in LDL-C levels, which varies depending upon the type of fat ingested, the degree of carbohydrate restriction, the presence of other medical conditions, weight loss on the diet, and genetic background (244). This increase in LDL-C levels is best illustrated in children treated with a ketogenic diet for epilepsy and in healthy individuals on a ketogenic diet (245-250). In some studies HDL-C is also increased (246-249). A meta-analysis of randomized studies in normal-weight adults found that a ketogenic diet increased LDL-C by 42mg/dL and HDL-C by 13.7mg/dL with no significant changes in TG levels (251). It should be noted that the increase in LDL-C is often not observed or is modest in patients with obesity or the metabolic syndrome (252,253).

 

While the typical increases in LDL-C levels observed with a ketogenic diet are relatively modest, recently a series of reports have described marked elevations in LDL-C levels in some patients on a ketogenic diet (253-255). For example, Goldberg et al reported 5 patients with marked increases in LDL-C levels on a ketogenic diet (256). Three patients had LDL-C levels greater than 500mg/dL. Similarly, Schaffer et al described 3 patients in which a very low carbohydrate diet induced LDL-C levels greater then 400mg/dL (257). Finally, Schmidt et al reported 17 patients with LDL-C levels greater than 200mg/dL on a ketogenic diet (258). In these patients there was an average increase in their LDL-C level of 187 mg/dL (258). The elevations in LDL-C levels decrease towards normal with cessation of the ketogenic diet (256-258). It should be noted that most of the patients with marked elevations in LDL-C in response to a ketogenic diet had normal LDL-C levels prior to the dietary change (255).

 

Many of the individuals who develop marked increases in LDL-C on a very low carbohydrate ketogenic diet have low TG levels, elevated HDL-C levels, and are thin (253,255). This phenotype has been called the lean mass hyper-responder (LMHR) phenotype (253,255). LMHR individuals have been defined as having TG <70mg/dL, HDL-C > 80mg/dL, and LDL-C > 200mg/dL (253,255). The mechanism for the marked increase in LDL-C levels is unknown. It may be due to a genetic predisposition in certain individuals (Apo E2/E2 genotype or high polygenic risk score for hypercholesterolemia) (256). Therefore, it is important for clinicians to monitor lipid levels in patients electing to follow a very low CHO/high fat diet.    

 

Comparison of Low Fat vs. Low Carbohydrate Weight Loss Diets

 

Numerous randomized studies have compared the effect of low fat vs. low CHO weight loss diets on lipid levels. In a study by Foster et al 154 obese individuals were randomized to a low-fat diet and 153 obese individuals to a low CHO diet (259). In the low CHO diet during the first 12 weeks of treatment participants were instructed to limit CHO intake to 20 grams/day in the form of low–glycemic index vegetables after which the diet was gradually liberalized. In the low-fat diet participants were instructed to limit energy intake with approximately 55% of calories from CHO, 30% from fat, and 15% from protein. Participants were instructed to limit calorie intake, with a focus on decreasing fat intake. After 6 months weight loss was similar in both diet groups. The effect on lipid levels at 6 months is shown in table 17. As one would expect the low CHO was very effective at lowering TG levels and increasing HDL-C levels while the low-fat diet was very effective at lowering LDL-C levels. The large weight loss in this trial may have contributed to the large reduction in lipid levels. A review of a large number of meta-analyses comparing a low CHO diet vs. low fat weight loss diet similarly described that the low CHO diet lowered TG levels and increased HDL-C and LDL-C levels compared to the low-fat diet (244). Note the increase in LDL-C with the low-CHO diet was blunted in patients with diabetes or pre-diabetes (244). Also, the increase in LDL-C levels is likely to be greater in low CHO diets that are enriched in SFA (244).

 

Table 17. Comparison of Low Fat vs. Low Carbohydrate Weight Loss Diet on Lipid Levels

 

Low Fat Diet

Low Carbohydrate Diet

 

Weight

-11.3kg

-12.2kg

NS

TGs

-24mg/dL

-49mg/dL

P<0.001

LDL-C

-9.5mg/dL

0.5mg/dL

P<0.001

HDL-C

1.0mg/dL

6.2mg/dL

P<0.001

 

Comparison of Vegetarian and Omnivore Diet on Lipid Levels

 

Vegetarian diets exclude all animal flesh. A meta-analysis of 19 studies comparing a vegetarian vs. omnivore diet found that consumption of vegetarian diets resulted in a 12.2mg/dL decrease in LDL-C (p < 0.001) and 3.4mg/dL decrease in HDL-C (p < 0.001) and a nonsignificant increase in TG levels (5.8 mg/dL; P = 0.090) compared with consumption of an omnivorous diet (260). Vegan diets, which exclude all animal products, were associated with larger LDL-C reductions than lacto-ovo vegetarian diets. A meta-analysis of 11 clinical trials comparing a vegetarian vs. omnivore diet observed similar results (LDL‐C decreased 13.3mg/dL ; P<0.001; HDL decreased 3.9mg/dL; P<0.001) (261). It is likely that a decrease in dietary SFA and cholesterol and an increase in dietary fiber and phytosterols account for the differences in a vegetarian and omnivore diets.

 

Comparison of 14 Different Diets on Lipid Levels

 

In a network meta-analysis of 121 eligible trials with 21, 942 overweight or obese patients Ge and colleagues compared the effect of 14 different diets on LDL-C and HDL-C levels (236). The diets could be grouped into low CHO diets (Atkins, South Beach, Zone), moderate macronutrients diets (Biggest Loser, DASH, Jenny Craig, Mediterranean, Portfolio, Slimming World, Volumetrics, Weight Watchers), and low-fat diets (Ornish, Rosemary Conley). The effect of these different diets on LDL-C and HDL-C levels are shown in table 18. It should be noted that despite considerable weight loss the effect of these diets on LDL-C and HDL-C levels was very modest except for the LDL-C lowering seen with the Portfolio diet. Unfortunately, a comparison of the effect of these diets on TG levels was not reported.

 

Table 18. Effect of Different Diets in Comparison with Usual Diet

Diet vs. Usual Diet

Decrease in Weight (Kg)

Change in LDL-C (mg/dL)

Change in HDL-C (mg/dL)

Atkins

5.46

+2.75

-3.41

Zone

4.07

+2.89

+0.33

Dash

3.63

-3.93

+1.90

Mediterranean

2.87

-4.59

+0.61

Paleolithic

5.31

-7.27

+2.52

Low Fat

4.87

-1.92

+2.13

Jenny Craig

7.77

-0.21

+2.85

Volumetrics

5.95

-7.13

+0.13

Weight Watchers

3.90

-7.13

+0.88

Rosemary Conley

3.76

-7.15

+2.04

Ornish

3.64

-4.71

+4.87

Portfolio

3.64

-21.29

+3.26

Biggest Loser

2.88

-3.90

+0.01

Slimming World

2.15

N/A

N/A

South Beach

9.86

+0.64

-3.60

Dietary Advice

0.31

+2.01

+1.71

 Summary of results of popular named diets network meta-analysis for outcomes at six months

 

In a study carried out in a single center the Atkins, Zone, Weight Watchers, and Ornish diets were compared and the effect on TG levels was also reported (262). Table 19 shows the results of this study at 2 months, a period at which dietary compliance was still high. The magnitude of weight loss was similar but the decrease in LDL-C that occurs with weight loss was blunted with a diet that was high in fat (Atkins diet). In contrast HDL-C levels increased with a high fat diet, particularly SFA (Atkins diet) and decreased with a very low-fat diet (Ornish diet). The weight loss induced decrease in TG levels was blunted by a high CHO intake (Ornish diet). These observations confirm and extend the results described above.

 

Table 19. Effect of Different Diets on Lipid Levels

 

Weight (kg)

LDL-C (mg/dL)

HDL-C (mg/dL)

TG (mg/dL)

Atkins

-3.6

1.3

3.2

-32

Zone

-3.8

-9.7

1.8

-54

Weight Watchers

-3.5

-12.1

-0.2

-9.2

Ornish

-3.6

-16.5

-3.6

-0.4

 

Summary

 

While diets can significantly affect lipid levels it should be recognized that the effect is typically relatively modest compared to drug therapy. Whether these modest effects on lipid levels can reduce the risk of CVD has not been tested in randomized controlled trials and given the difficulty of carrying out such long-term diet studies is likely not to be attempted. However, diet therapy can be initiated early in life and has the potential to result in long-term decreases in lipid levels. Given that studies have shown that long-term modest reductions in LDL-C levels can have major effects on the risk of CVD (a 10mg/dL life-long decrease in LDL-C due to polymorphisms in ATP citrate lyase, HMGCoA reductase, LDL receptor, PCSK9, and NPC1L1 resulted in a 16%-18% decrease in cardiovascular events (263)) it is likely that a similar long-term decrease induced by dietary changes would also be effective in decreasing CVD. A life-long 70mg/dL decrease in TG levels due to polymorphisms in the lipoprotein lipase gene resulted in a 23% decrease in coronary heart disease suggesting that long-term decreases in TG levels due to dietary changes would also be beneficial (264). Thus, long-term reductions in lipid levels induced by diet therapy may reduce the lifetime risk of developing CVD.

 

CURRENT DIETARY GUIDELINES

 

Most dietary guidelines recommended to the general population to prevent disease are very similar so I will only present the recommendations of two organizations. A brief summary of the Guidelines for Americans 2020-2025 is shown in table 20 and the guidelines from the American College of Cardiology/American Heart Association are shown in table 21.

 

Table 20. Guidelines for Americans 2020-2025

Recommend

Limit

Vegetables of all types—dark green; red and orange; beans, peas, and lentils; starchy; and other vegetables

Added sugars—Less than 10 percent of calories per day

Fruits, especially whole fruit

Saturated fat—Less than 10 percent of calories per day

Grains, at least half of which are whole grain

Sodium—Less than 2,300 milligrams per day

Dairy, including fat-free or low-fat milk, yogurt, and cheese, and/or lactose-free versions and fortified soy beverages and yogurt as alternatives

Alcoholic beverages—Adults can

choose not to drink or to drink in moderation by limiting intake to 2 drinks or less in a day for men and 1 drink or less in a day for women

Protein foods, including lean meats, poultry, and eggs; seafood; beans, peas, and lentils; and nuts, seeds, and soy products

 

Oils, including vegetable oils and oils in food, such as seafood and nuts

 

Full guideline is available at DietaryGuidelines.gov

 

Table 21. ACC/AHA Dietary Recommendations to Reduce Risk of ASCVD (265)

1. A diet emphasizing intake of vegetables, fruits, legumes, nuts, whole grains, and fish is recommended

2. Replacement of saturated fat with dietary monounsaturated and polyunsaturated fats can be beneficial

3. A diet containing reduced amounts of cholesterol and sodium can be beneficial

4. As a part of a healthy diet, it is reasonable to minimize the intake of processed meats, refined carbohydrates, and sweetened beverages

5. As a part of a healthy diet, the intake of trans fats should be avoided

ASCVD- Atherosclerotic CVD

 

DIETARY RECOMMENDATIONS FOR PATIENTS WITH LIPID DISORDERS

 

Elevated LDL-C

 

The dietary approach to reduce LDL-C levels is to avoid TFA and decrease SFA and cholesterol intake while increasing intake of fiber and phytosterols (266). Additionally, weight loss if appropriate can be helpful in lowering LDL-C levels (266). Certain foods are effective in lowering LDL-C levels such as tree nuts or peanuts, plant protein from soy products, beans, peas, chickpeas, or lentils, and viscous soluble fiber from oats, barley, psyllium, eggplant, okra, apples, oranges, or berries and if possible, can be added to the individual’s diet (236,241). If one combines multiple nutritional changes one can have significant reductions in LDL-C levels (table 22).

 

Table 22. Effect of Multiple LDL-C Lowering Changes on LDL-C Levels

Nutritional Intervention

Estimated LDL-C Decrease

Replace 5% of energy from SFA with MUFA or PUFA

5% to 10%

7.5 grams/day viscous fiber

6% to 9%

2 grams/day plant sterols/stanols

5% to 8%

Replace 30 grams animal protein or CHO with plant protein

3% to 5%

Loss 5% body weight if excess adiposity

3% to 5%

Total Effect

22% to 37%

Table adapted from (267).

 

While diet alone usually does not reduce LDL-C sufficiently it adds to the beneficial effect of cholesterol lowering drugs. In a comparison of LDL-C lowering a low-fat diet alone lowered LDL-C by 5%, a statin alone by 27%, and the combination of low-fat diet plus statin by 32% demonstrating an independent and additive effect of combining diet and lipid lowering medications (268). 

 

Modestly Elevated Triglycerides

 

The dietary approach to reduce TG levels is to reduce CHO intake particularly simple and refined sugars and to avoid or minimize alcohol intake (266). Weight loss if appropriate can be very helpful in lowering TG levels (25,266).

 

Markedly Elevated Triglycerides

 

In patients with marked elevations in TGs due to the Familial Chylomicronemia Syndrome a diet very low in fat is often necessary to prevent episodes of pancreatitis (<10% of calories from fat) (269). In patients with this disorder medium chain TGs may be helpful. In patients with the Multifactorial Chylomicronemia Syndrome who present with markedly elevated TGs (>1000mg/dL) initial dietary treatment should be a very low-fat diet until the TGs decrease. Once the TGs decrease one can initiate the diet described above for individuals with modestly elevated TGs.

 

Elevated Lipoprotein (a)

 

There is no evidence that healthy dietary changes significantly lower Lp(a) levels (62,270) . In fact, it should be noted that reducing SFA intake while decreasing LDL-C levels increases Lp(a) levels (271). In certain patients with high Lp(a) levels one may need to balance the benefits of decreasing LDL-C levels with the risks of increasing Lp(a) levels (271).

 

Effect of Dietary Advice on Lipid and Lipoprotein Levels

 

In a meta-analysis of 44 randomized studies with 18,175 healthy adult participants comparing dietary advise vs. no or minimal advice found that dietary advice reduced total serum cholesterol by 5.9mg/dL (95% CI 2.3 to 9.0) and LDL-C by 6.2mg/dL (95% CI 3.1 to 9.4) with no change in HDL-C and TG levels (272). In a meta-analysis of 7 studies with 1081 participants that compared consultation with a dietician vs. usual care there was no difference in the absolute change in TC, LDL-C, or HDL-C levels but TG levels were decreased by 19.4mg/dL (95%CI -37.8 to -1.8; p=0.03) (273). Similarly, in a meta-analysis of 5 randomized trials in 912 patients with type 2 diabetes found that dietary advice from a dietician vs. usual care resulted in a small decrease in LDL-C (6.6mg/dL) in the group receiving advice from the dietician (274). Finally, as discussed earlier the Women’s Health Initiative trial randomized 19,541 postmenopausal women 50-79 years of age to the diet intervention group and 29,294 women to usual dietary advice (52). The goal in the diet intervention group was to reduce total fat intake to 20% of calories and increase intake of vegetables/fruits to 5 servings/day and grains to at least 6 servings/day. Fat intake decreased by 8.2% of energy intake in the intervention vs the comparison group, with small decreases in SFA (2.9%), MUFA (3.3%), and PUFA (1.5%) with increased consumption of vegetables, fruits, and grains. LDL-C levels were reduced by 3.55 mg/dL in the intervention group while levels of HDL-C and TGs were not significantly different in the intervention vs comparison groups. Taken together these studies illustrate that diet therapy under many circumstances has only modest effects on lipid and lipoprotein levels. Of course, there are studies and individual patients where major reductions in lipid levels occur. For example, in a life style modification study including a vegetarian diet by Ornish and colleagues a marked decrease in LDL-C was observed (153mg/dL decreasing to 96mg/dL) (58). One is most likely to see dramatic effects the greater the change in diet (for example going from a typical Western diet to a vegetarian low-fat diet) and the higher the baseline lipid levels. Patient ability to follow the dietary advise is crucial for success.

 

ACKNOWLEDGEMENTS

 

This work was supported by grants from the Northern California Institute for Research and Education.

 

REFERENCES

 

  1. Ioannidis JPA. The Challenge of Reforming Nutritional Epidemiologic Research. JAMA 2018; 320:969-970
  2. Nissen SE. U.S. Dietary Guidelines: An Evidence-Free Zone. Ann Intern Med 2016; 164:558-559
  3. Lichtenstein AH. Nutrient supplements and cardiovascular disease: a heartbreaking story. J Lipid Res 2009; 50 Suppl:S429-433
  4. Rimm EB, Stampfer MJ, Ascherio A, Giovannucci E, Colditz GA, Willett WC. Vitamin E consumption and the risk of coronary heart disease in men. N Engl J Med 1993; 328:1450-1456
  5. Kushi LH, Folsom AR, Prineas RJ, Mink PJ, Wu Y, Bostick RM. Dietary antioxidant vitamins and death from coronary heart disease in postmenopausal women. N Engl J Med 1996; 334:1156-1162
  6. Stampfer MJ, Hennekens CH, Manson JE, Colditz GA, Rosner B, Willett WC. Vitamin E consumption and the risk of coronary disease in women. N Engl J Med 1993; 328:1444-1449
  7. Lee CH, Chan RSM, Wan HYL, Woo YC, Cheung CYY, Fong CHY, Cheung BMY, Lam TH, Janus E, Woo J, Lam KSL. Dietary Intake of Anti-Oxidant Vitamins A, C, and E Is Inversely Associated with Adverse Cardiovascular Outcomes in Chinese-A 22-Years Population-Based Prospective Study. Nutrients 2018; 10
  8. Knekt P, Reunanen A, Jarvinen R, Seppanen R, Heliovaara M, Aromaa A. Antioxidant vitamin intake and coronary mortality in a longitudinal population study. Am J Epidemiol 1994; 139:1180-1189
  9. Lee IM, Cook NR, Gaziano JM, Gordon D, Ridker PM, Manson JE, Hennekens CH, Buring JE. Vitamin E in the primary prevention of cardiovascular disease and cancer: the Women's Health Study: a randomized controlled trial. JAMA 2005; 294:56-65
  10. de Gaetano G. Low-dose aspirin and vitamin E in people at cardiovascular risk: a randomised trial in general practice. Collaborative Group of the Primary Prevention Project. Lancet 2001; 357:89-95
  11. Sesso HD, Buring JE, Christen WG, Kurth T, Belanger C, MacFadyen J, Bubes V, Manson JE, Glynn RJ, Gaziano JM. Vitamins E and C in the prevention of cardiovascular disease in men: the Physicians' Health Study II randomized controlled trial. JAMA 2008; 300:2123-2133
  12. Heart Protection Study Collaborative G. MRC/BHF Heart Protection Study of antioxidant vitamin supplementation in 20,536 high-risk individuals: a randomised placebo-controlled trial. Lancet 2002; 360:23-33
  13. Rimm EB, Willett WC, Hu FB, Sampson L, Colditz GA, Manson JE, Hennekens C, Stampfer MJ. Folate and vitamin B6 from diet and supplements in relation to risk of coronary heart disease among women. JAMA 1998; 279:359-364
  14. Voutilainen S, Rissanen TH, Virtanen J, Lakka TA, Salonen JT. Low dietary folate intake is associated with an excess incidence of acute coronary events: The Kuopio Ischemic Heart Disease Risk Factor Study. Circulation 2001; 103:2674-2680
  15. Jayedi A, Zargar MS. Intake of vitamin B6, folate, and vitamin B12 and risk of coronary heart disease: a systematic review and dose-response meta-analysis of prospective cohort studies. Crit Rev Food Sci Nutr 2019; 59:2697-2707
  16. Armitage JM, Bowman L, Clarke RJ, Wallendszus K, Bulbulia R, Rahimi K, Haynes R, Parish S, Sleight P, Peto R, Collins R. Effects of homocysteine-lowering with folic acid plus vitamin B12 vs placebo on mortality and major morbidity in myocardial infarction survivors: a randomized trial. JAMA 2010; 303:2486-2494
  17. Albert CM, Cook NR, Gaziano JM, Zaharris E, MacFadyen J, Danielson E, Buring JE, Manson JE. Effect of folic acid and B vitamins on risk of cardiovascular events and total mortality among women at high risk for cardiovascular disease: a randomized trial. JAMA 2008; 299:2027-2036
  18. Lonn E, Yusuf S, Arnold MJ, Sheridan P, Pogue J, Micks M, McQueen MJ, Probstfield J, Fodor G, Held C, Genest J, Jr. Homocysteine lowering with folic acid and B vitamins in vascular disease. N Engl J Med 2006; 354:1567-1577
  19. Marti-Carvajal AJ, Sola I, Lathyris D, Dayer M. Homocysteine-lowering interventions for preventing cardiovascular events. Cochrane Database Syst Rev 2017; 8:CD006612
  20. Zeraatkar D, Han MA, Guyatt GH, Vernooij RWM, El Dib R, Cheung K, Milio K, Zworth M, Bartoszko JJ, Valli C, Rabassa M, Lee Y, Zajac J, Prokop-Dorner A, Lo C, Bala MM, Alonso-Coello P, Hanna SE, Johnston BC. Red and Processed Meat Consumption and Risk for All-Cause Mortality and Cardiometabolic Outcomes: A Systematic Review and Meta-analysis of Cohort Studies. Ann Intern Med 2019; 171:703-710
  21. Qian F, Riddle MC, Wylie-Rosett J, Hu FB. Red and Processed Meats and Health Risks: How Strong Is the Evidence? Diabetes Care 2020; 43:265-271
  22. Ordovas JM, Lopez-Miranda J, Mata P, Perez-Jimenez F, Lichtenstein AH, Schaefer EJ. Gene-diet interaction in determining plasma lipid response to dietary intervention. Atherosclerosis 1995; 118 Suppl:S11-27
  23. Vazquez-Vidal I, Desmarchelier C, Jones PJH. Nutrigenetics of Blood Cholesterol Concentrations: Towards Personalized Nutrition. Curr Cardiol Rep 2019; 21:38
  24. Flock MR, Green MH, Kris-Etherton PM. Effects of adiposity on plasma lipid response to reductions in dietary saturated fatty acids and cholesterol. Adv Nutr 2011; 2:261-274
  25. Feingold KR. Obesity and Dyslipidemia. In: Feingold KR, Anawalt B, Boyce A, Chrousos G, de Herder WW, Dungan K, Grossman A, Hershman JM, Hofland J, Kaltsas G, Koch C, Kopp P, Korbonits M, McLachlan R, Morley JE, New M, Purnell J, Singer F, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2023.
  26. Kris-Etherton PM, Petersen K, Van Horn L. Convincing evidence supports reducing saturated fat to decrease cardiovascular disease risk. BMJ Nutr Prev Health 2018; 1:23-26
  27. Li Y, Hruby A, Bernstein AM, Ley SH, Wang DD, Chiuve SE, Sampson L, Rexrode KM, Rimm EB, Willett WC, Hu FB. Saturated Fats Compared With Unsaturated Fats and Sources of Carbohydrates in Relation to Risk of Coronary Heart Disease: A Prospective Cohort Study. J Am Coll Cardiol 2015; 66:1538-1548
  28. Lichtenstein AH. Dietary Fat and Cardiovascular Disease: Ebb and Flow Over the Last Half Century. Adv Nutr 2019; 10:S332-S339
  29. Jakobsen MU, O'Reilly EJ, Heitmann BL, Pereira MA, Balter K, Fraser GE, Goldbourt U, Hallmans G, Knekt P, Liu S, Pietinen P, Spiegelman D, Stevens J, Virtamo J, Willett WC, Ascherio A. Major types of dietary fat and risk of coronary heart disease: a pooled analysis of 11 cohort studies. Am J Clin Nutr 2009; 89:1425-1432
  30. Farvid MS, Ding M, Pan A, Sun Q, Chiuve SE, Steffen LM, Willett WC, Hu FB. Dietary linoleic acid and risk of coronary heart disease: a systematic review and meta-analysis of prospective cohort studies. Circulation 2014; 130:1568-1578
  31. Zheng Y, Fang Y, Xu X, Ye W, Kang S, Yang K, Cao Y, Xu R, Zheng J, Wang H. Dietary saturated fatty acids increased all-cause and cardiovascular disease mortality in an elderly population: The National Health and Nutrition Examination Survey. Nutr Res 2023; 120:99-114
  32. Siri-Tarino PW, Sun Q, Hu FB, Krauss RM. Meta-analysis of prospective cohort studies evaluating the association of saturated fat with cardiovascular disease. Am J Clin Nutr 2010; 91:535-546
  33. Chowdhury R, Warnakula S, Kunutsor S, Crowe F, Ward HA, Johnson L, Franco OH, Butterworth AS, Forouhi NG, Thompson SG, Khaw KT, Mozaffarian D, Danesh J, Di Angelantonio E. Association of dietary, circulating, and supplement fatty acids with coronary risk: a systematic review and meta-analysis. Ann Intern Med 2014; 160:398-406
  34. de Souza RJ, Mente A, Maroleanu A, Cozma AI, Ha V, Kishibe T, Uleryk E, Budylowski P, Schunemann H, Beyene J, Anand SS. Intake of saturated and trans unsaturated fatty acids and risk of all cause mortality, cardiovascular disease, and type 2 diabetes: systematic review and meta-analysis of observational studies. BMJ 2015; 351:h3978
  35. Skeaff CM, Miller J. Dietary fat and coronary heart disease: summary of evidence from prospective cohort and randomised controlled trials. Ann Nutr Metab 2009; 55:173-201
  36. Yamagishi K, Iso H, Yatsuya H, Tanabe N, Date C, Kikuchi S, Yamamoto A, Inaba Y, Tamakoshi A. Dietary intake of saturated fatty acids and mortality from cardiovascular disease in Japanese: the Japan Collaborative Cohort Study for Evaluation of Cancer Risk (JACC) Study. Am J Clin Nutr 2010; 92:759-765
  37. Clifton PM, Keogh JB. A systematic review of the effect of dietary saturated and polyunsaturated fat on heart disease. Nutr Metab Cardiovasc Dis 2017; 27:1060-1080
  38. Sacks FM, Lichtenstein AH, Wu JHY, Appel LJ, Creager MA, Kris-Etherton PM, Miller M, Rimm EB, Rudel LL, Robinson JG, Stone NJ, Van Horn LV. Dietary Fats and Cardiovascular Disease: A Presidential Advisory From the American Heart Association. Circulation 2017; 136:e1-e23
  39. Mozaffarian D, Micha R, Wallace S. Effects on coronary heart disease of increasing polyunsaturated fat in place of saturated fat: a systematic review and meta-analysis of randomized controlled trials. PLoS Med 2010; 7:e1000252
  40. de Oliveira Otto MC, Mozaffarian D, Kromhout D, Bertoni AG, Sibley CT, Jacobs DR, Jr., Nettleton JA. Dietary intake of saturated fat by food source and incident cardiovascular disease: the Multi-Ethnic Study of Atherosclerosis. Am J Clin Nutr 2012; 96:397-404
  41. Low-fat diet in myocardial infarction: A controlled trial. Lancet 1965; 2:501-504
  42. Leren P. The Oslo diet-heart study. Eleven-year report. Circulation 1970; 42:935-942
  43. Controlled trial of soya-bean oil in myocardial infarction. Lancet 1968; 2:693-699
  44. Dayton S, Pearce ML, Goldman H, Harnish A, Plotkin D, Shickman M, Winfield M, Zager A, Dixon W. Controlled trial of a diet high in unsaturated fat for prevention of atherosclerotic complications. Lancet 1968; 2:1060-1062
  45. DAYTON S PM, HASHIMOTO S, DIXON WJ, and TOMIYASU U. A Controlled Clinical Trial of a Diet High in Unsaturated Fat in Preventing Complications of Atherosclerosis. Circulation 1969; 40:II-1–II-63
  46. Turpeinen O, Karvonen MJ, Pekkarinen M, Miettinen M, Elosuo R, Paavilainen E. Dietary prevention of coronary heart disease: the Finnish Mental Hospital Study. Int J Epidemiol 1979; 8:99-118
  47. Miettinen M, Turpeinen O, Karvonen MJ, Pekkarinen M, Paavilainen E, Elosuo R. Dietary prevention of coronary heart disease in women: the Finnish mental hospital study. Int J Epidemiol 1983; 12:17-25
  48. Miettinen M, Turpeinen O, Karvonen MJ, Elosuo R, Paavilainen E. Effect of cholesterol-lowering diet on mortality from coronary heart-disease and other causes. A twelve-year clinical trial in men and women. Lancet 1972; 2:835-838
  49. Ramsden CE, Zamora D, Leelarthaepin B, Majchrzak-Hong SF, Faurot KR, Suchindran CM, Ringel A, Davis JM, Hibbeln JR. Use of dietary linoleic acid for secondary prevention of coronary heart disease and death: evaluation of recovered data from the Sydney Diet Heart Study and updated meta-analysis. BMJ 2013; 346:e8707
  50. Burr ML, Fehily AM, Gilbert JF, Rogers S, Holliday RM, Sweetnam PM, Elwood PC, Deadman NM. Effects of changes in fat, fish, and fibre intakes on death and myocardial reinfarction: diet and reinfarction trial (DART). Lancet 1989; 2:757-761
  51. Frantz ID, Jr., Dawson EA, Ashman PL, Gatewood LC, Bartsch GE, Kuba K, Brewer ER. Test of effect of lipid lowering by diet on cardiovascular risk. The Minnesota Coronary Survey. Arteriosclerosis 1989; 9:129-135
  52. Howard BV, Van Horn L, Hsia J, Manson JE, Stefanick ML, Wassertheil-Smoller S, Kuller LH, LaCroix AZ, Langer RD, Lasser NL, Lewis CE, Limacher MC, Margolis KL, Mysiw WJ, Ockene JK, Parker LM, Perri MG, Phillips L, Prentice RL, Robbins J, Rossouw JE, Sarto GE, Schatz IJ, Snetselaar LG, Stevens VJ, Tinker LF, Trevisan M, Vitolins MZ, Anderson GL, Assaf AR, Bassford T, Beresford SA, Black HR, Brunner RL, Brzyski RG, Caan B, Chlebowski RT, Gass M, Granek I, Greenland P, Hays J, Heber D, Heiss G, Hendrix SL, Hubbell FA, Johnson KC, Kotchen JM. Low-fat dietary pattern and risk of cardiovascular disease: the Women's Health Initiative Randomized Controlled Dietary Modification Trial. JAMA 2006; 295:655-666
  53. Wolfe MS, Sawyer JK, Morgan TM, Bullock BC, Rudel LL. Dietary polyunsaturated fat decreases coronary artery atherosclerosis in a pediatric-aged population of African green monkeys. Arterioscler Thromb 1994; 14:587-597
  54. Rudel LL, Parks JS, Sawyer JK. Compared with dietary monounsaturated and saturated fat, polyunsaturated fat protects African green monkeys from coronary artery atherosclerosis. Arterioscler Thromb Vasc Biol 1995; 15:2101-2110
  55. Feingold KR. Cholesterol Lowering Drugs. In: Feingold KR, Anawalt B, Boyce A, Chrousos G, de Herder WW, Dungan K, Grossman A, Hershman JM, Hofland J, Kaltsas G, Koch C, Kopp P, Korbonits M, McLachlan R, Morley JE, New M, Purnell J, Singer F, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2024.
  56. Silverman MG, Ference BA, Im K, Wiviott SD, Giugliano RP, Grundy SM, Braunwald E, Sabatine MS. Association Between Lowering LDL-C and Cardiovascular Risk Reduction Among Different Therapeutic Interventions: A Systematic Review and Meta-analysis. JAMA 2016; 316:1289-1297
  57. Watts GF, Lewis B, Brunt JN, Lewis ES, Coltart DJ, Smith LD, Mann JI, Swan AV. Effects on coronary artery disease of lipid-lowering diet, or diet plus cholestyramine, in the St Thomas' Atherosclerosis Regression Study (STARS). Lancet 1992; 339:563-569
  58. Ornish D, Brown SE, Scherwitz LW, Billings JH, Armstrong WT, Ports TA, McLanahan SM, Kirkeeide RL, Brand RJ, Gould KL. Can lifestyle changes reverse coronary heart disease? The Lifestyle Heart Trial. Lancet 1990; 336:129-133
  59. Feingold KR. Maximizing the benefits of cholesterol-lowering drugs. Curr Opin Lipidol 2019; 30:388-394
  60. Mensink RP. Effects of saturated fatty acids on serum lipids and lipoproteins: a systematic review and regression analysis. Geneva, Switzerland: Geneva: World Health Organization; 2016.
  61. Dreon DM, Fernstrom HA, Campos H, Blanche P, Williams PT, Krauss RM. Change in dietary saturated fat intake is correlated with change in mass of large low-density-lipoprotein particles in men. Am J Clin Nutr 1998; 67:828-836
  62. Enkhmaa B, Petersen KS, Kris-Etherton PM, Berglund L. Diet and Lp(a): Does Dietary Change Modify Residual Cardiovascular Risk Conferred by Lp(a)? Nutrients 2020; 12
  63. Mensink RP, Zock PL, Kester AD, Katan MB. Effects of dietary fatty acids and carbohydrates on the ratio of serum total to HDL cholesterol and on serum lipids and apolipoproteins: a meta-analysis of 60 controlled trials. Am J Clin Nutr 2003; 77:1146-1155
  64. Wu JHY, Micha R, Mozaffarian D. Dietary fats and cardiometabolic disease: mechanisms and effects on risk factors and outcomes. Nat Rev Cardiol 2019; 16:581-601
  65. Micha R, Mozaffarian D. Saturated fat and cardiometabolic risk factors, coronary heart disease, stroke, and diabetes: a fresh look at the evidence. Lipids 2010; 45:893-905
  66. Flock MR, Kris-Etherton PM. Diverse physiological effects of long-chain saturated fatty acids: implications for cardiovascular disease. Curr Opin Clin Nutr Metab Care 2013; 16:133-140
  67. Fernandez ML, West KL. Mechanisms by which dietary fatty acids modulate plasma lipids. J Nutr 2005; 135:2075-2078
  68. Dietschy JM. Dietary fatty acids and the regulation of plasma low density lipoprotein cholesterol concentrations. J Nutr 1998; 128:444S-448S
  69. Horton JD, Goldstein JL, Brown MS. SREBPs: activators of the complete program of cholesterol and fatty acid synthesis in the liver. J Clin Invest 2002; 109:1125-1131
  70. Mente A, de Koning L, Shannon HS, Anand SS. A systematic review of the evidence supporting a causal link between dietary factors and coronary heart disease. Arch Intern Med 2009; 169:659-669
  71. Schwingshackl L, Hoffmann G. Monounsaturated fatty acids, olive oil and health status: a systematic review and meta-analysis of cohort studies. Lipids Health Dis 2014; 13:154
  72. Zong G, Li Y, Sampson L, Dougherty LW, Willett WC, Wanders AJ, Alssema M, Zock PL, Hu FB, Sun Q. Monounsaturated fats from plant and animal sources in relation to risk of coronary heart disease among US men and women. Am J Clin Nutr 2018; 107:445-453
  73. Estruch R, Ros E, Salas-Salvado J, Covas MI, Corella D, Aros F, Gomez-Gracia E, Ruiz-Gutierrez V, Fiol M, Lapetra J, Lamuela-Raventos RM, Serra-Majem L, Pinto X, Basora J, Munoz MA, Sorli JV, Martinez JA, Martinez-Gonzalez MA. Primary prevention of cardiovascular disease with a Mediterranean diet. N Engl J Med 2013; 368:1279-1290
  74. Estruch R, Ros E, Salas-Salvado J, Covas MI, Corella D, Aros F, Gomez-Gracia E, Ruiz-Gutierrez V, Fiol M, Lapetra J, Lamuela-Raventos RM, Serra-Majem L, Pinto X, Basora J, Munoz MA, Sorli JV, Martinez JA, Fito M, Gea A, Hernan MA, Martinez-Gonzalez MA. Primary Prevention of Cardiovascular Disease with a Mediterranean Diet Supplemented with Extra-Virgin Olive Oil or Nuts. N Engl J Med 2018; 378:e34
  75. Estruch R, Ros E, Salas-Salvado J, Covas MI, Corella D, Aros F, Gomez-Gracia E, Ruiz-Gutierrez V, Fiol M, Lapetra J, Lamuela-Raventos RM, Serra-Majem L, Pinto X, Basora J, Munoz MA, Sorli JV, Martinez JA, Martinez-Gonzalez MA. Retraction and Republication: Primary Prevention of Cardiovascular Disease with a Mediterranean Diet. N Engl J Med 2013;368:1279-90. N Engl J Med 2018; 378:2441-2442
  76. Estruch R, Martinez-Gonzalez MA, Corella D, Salas-Salvado J, Ruiz-Gutierrez V, Covas MI, Fiol M, Gomez-Gracia E, Lopez-Sabater MC, Vinyoles E, Aros F, Conde M, Lahoz C, Lapetra J, Saez G, Ros E. Effects of a Mediterranean-style diet on cardiovascular risk factors: a randomized trial. Ann Intern Med 2006; 145:1-11
  77. de Lorgeril M, Renaud S, Mamelle N, Salen P, Martin JL, Monjaud I, Guidollet J, Touboul P, Delaye J. Mediterranean alpha-linolenic acid-rich diet in secondary prevention of coronary heart disease. Lancet 1994; 343:1454-1459
  78. de Lorgeril M, Salen P, Martin JL, Monjaud I, Delaye J, Mamelle N. Mediterranean diet, traditional risk factors, and the rate of cardiovascular complications after myocardial infarction: final report of the Lyon Diet Heart Study. Circulation 1999; 99:779-785
  79. Delgado-Lista J, Alcala-Diaz JF, Torres-Pena JD, Quintana-Navarro GM, Fuentes F, Garcia-Rios A, Ortiz-Morales AM, Gonzalez-Requero AI, Perez-Caballero AI, Yubero-Serrano EM, Rangel-Zuniga OA, Camargo A, Rodriguez-Cantalejo F, Lopez-Segura F, Badimon L, Ordovas JM, Perez-Jimenez F, Perez-Martinez P, Lopez-Miranda J. Long-term secondary prevention of cardiovascular disease with a Mediterranean diet and a low-fat diet (CORDIOPREV): a randomised controlled trial. Lancet 2022; 399:1876-1885
  80. Li J, Guasch-Ferre M, Li Y, Hu FB. Dietary intake and biomarkers of linoleic acid and mortality: systematic review and meta-analysis of prospective cohort studies. Am J Clin Nutr 2020; 112:150-167
  81. Marklund M, Wu JHY, Imamura F, Del Gobbo LC, Fretts A, de Goede J, Shi P, Tintle N, Wennberg M, Aslibekyan S, Chen TA, de Oliveira Otto MC, Hirakawa Y, Eriksen HH, Kroger J, Laguzzi F, Lankinen M, Murphy RA, Prem K, Samieri C, Virtanen J, Wood AC, Wong K, Yang WS, Zhou X, Baylin A, Boer JMA, Brouwer IA, Campos H, Chaves PHM, Chien KL, de Faire U, Djousse L, Eiriksdottir G, El-Abbadi N, Forouhi NG, Michael Gaziano J, Geleijnse JM, Gigante B, Giles G, Guallar E, Gudnason V, Harris T, Harris WS, Helmer C, Hellenius ML, Hodge A, Hu FB, Jacques PF, Jansson JH, Kalsbeek A, Khaw KT, Koh WP, Laakso M, Leander K, Lin HJ, Lind L, Luben R, Luo J, McKnight B, Mursu J, Ninomiya T, Overvad K, Psaty BM, Rimm E, Schulze MB, Siscovick D, Skjelbo Nielsen M, Smith AV, Steffen BT, Steffen L, Sun Q, Sundstrom J, Tsai MY, Tunstall-Pedoe H, Uusitupa MIJ, van Dam RM, Veenstra J, Monique Verschuren WM, Wareham N, Willett W, Woodward M, Yuan JM, Micha R, Lemaitre RN, Mozaffarian D, Riserus U. Biomarkers of Dietary Omega-6 Fatty Acids and Incident Cardiovascular Disease and Mortality. Circulation 2019; 139:2422-2436
  82. Zhu Y, Bo Y, Liu Y. Dietary total fat, fatty acids intake, and risk of cardiovascular disease: a dose-response meta-analysis of cohort studies. Lipids Health Dis 2019; 18:91
  83. Hooper L, Al-Khudairy L, Abdelhamid AS, Rees K, Brainard JS, Brown TJ, Ajabnoor SM, O'Brien AT, Winstanley LE, Donaldson DH, Song F, Deane KH. Omega-6 fats for the primary and secondary prevention of cardiovascular disease. Cochrane Database Syst Rev 2018; 11:CD011094
  84. Abdelhamid AS, Martin N, Bridges C, Brainard JS, Wang X, Brown TJ, Hanson S, Jimoh OF, Ajabnoor SM, Deane KH, Song F, Hooper L. Polyunsaturated fatty acids for the primary and secondary prevention of cardiovascular disease. Cochrane Database Syst Rev 2018; 11:CD012345
  85. Feingold KR. Triglyceride Lowering Drugs. In: Feingold KR, Anawalt B, Boyce A, Chrousos G, de Herder WW, Dungan K, Grossman A, Hershman JM, Hofland J, Kaltsas G, Koch C, Kopp P, Korbonits M, McLachlan R, Morley JE, New M, Purnell J, Singer F, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2024.
  86. Gardner CD, Kraemer HC. Monounsaturated versus polyunsaturated dietary fat and serum lipids. A meta-analysis. Arterioscler Thromb Vasc Biol 1995; 15:1917-1927
  87. Lichtenstein AH. Dietary trans fatty acids and cardiovascular disease risk: past and present. Curr Atheroscler Rep 2014; 16:433
  88. Mozaffarian D, Katan MB, Ascherio A, Stampfer MJ, Willett WC. Trans fatty acids and cardiovascular disease. N Engl J Med 2006; 354:1601-1613
  89. Nestel P. Trans fatty acids: are its cardiovascular risks fully appreciated? Clin Ther 2014; 36:315-321
  90. Mauger JF, Lichtenstein AH, Ausman LM, Jalbert SM, Jauhiainen M, Ehnholm C, Lamarche B. Effect of different forms of dietary hydrogenated fats on LDL particle size. Am J Clin Nutr 2003; 78:370-375
  91. Brouwer IA, Wanders AJ, Katan MB. Effect of animal and industrial trans fatty acids on HDL and LDL cholesterol levels in humans--a quantitative review. PLoS One 2010; 5:e9434
  92. Bendsen NT, Christensen R, Bartels EM, Astrup A. Consumption of industrial and ruminant trans fatty acids and risk of coronary heart disease: a systematic review and meta-analysis of cohort studies. Eur J Clin Nutr 2011; 65:773-783
  93. Matthan NR, Welty FK, Barrett PH, Harausz C, Dolnikowski GG, Parks JS, Eckel RH, Schaefer EJ, Lichtenstein AH. Dietary hydrogenated fat increases high-density lipoprotein apoA-I catabolism and decreases low-density lipoprotein apoB-100 catabolism in hypercholesterolemic women. Arterioscler Thromb Vasc Biol 2004; 24:1092-1097
  94. van Tol A, Zock PL, van Gent T, Scheek LM, Katan MB. Dietary trans fatty acids increase serum cholesterylester transfer protein activity in man. Atherosclerosis 1995; 115:129-134
  95. Soliman GA. Dietary Cholesterol and the Lack of Evidence in Cardiovascular Disease. Nutrients 2018; 10
  96. Xu Z, McClure ST, Appel LJ. Dietary Cholesterol Intake and Sources among U.S Adults: Results from National Health and Nutrition Examination Surveys (NHANES), 2001(-)2014. Nutrients 2018; 10
  97. Berger S, Raman G, Vishwanathan R, Jacques PF, Johnson EJ. Dietary cholesterol and cardiovascular disease: a systematic review and meta-analysis. Am J Clin Nutr 2015; 102:276-294
  98. Carson JAS, Lichtenstein AH, Anderson CAM, Appel LJ, Kris-Etherton PM, Meyer KA, Petersen K, Polonsky T, Van Horn L. Dietary Cholesterol and Cardiovascular Risk: A Science Advisory From the American Heart Association. Circulation 2020; 141:e39-e53
  99. Hu FB, Stampfer MJ, Manson JE, Rimm E, Colditz GA, Rosner BA, Hennekens CH, Willett WC. Dietary fat intake and the risk of coronary heart disease in women. N Engl J Med 1997; 337:1491-1499
  100. Ascherio A, Rimm EB, Giovannucci EL, Spiegelman D, Stampfer M, Willett WC. Dietary fat and risk of coronary heart disease in men: cohort follow up study in the United States. BMJ 1996; 313:84-90
  101. Alexander DD, Miller PE, Vargas AJ, Weed DL, Cohen SS. Meta-analysis of Egg Consumption and Risk of Coronary Heart Disease and Stroke. J Am Coll Nutr 2016; 35:704-716
  102. Krittanawong C, Narasimhan B, Wang Z, Virk HUH, Farrell AM, Zhang H, Tang WHW. Association Between Egg Consumption and Risk of Cardiovascular Outcomes: A Systematic Review and Meta-Analysis. Am J Med 2021; 134:76-83 e72
  103. Drouin-Chartier JP, Schwab AL, Chen S, Li Y, Sacks FM, Rosner B, Manson JE, Willett WC, Stampfer MJ, Hu FB, Bhupathiraju SN. Egg consumption and risk of type 2 diabetes: findings from 3 large US cohort studies of men and women and a systematic review and meta-analysis of prospective cohort studies. Am J Clin Nutr 2020; 112:619-630
  104. Mazidi M, Katsiki N, Mikhailidis DP, Pencina MJ, Banach M. Egg Consumption and Risk of Total and Cause-Specific Mortality: An Individual-Based Cohort Study and Pooling Prospective Studies on Behalf of the Lipid and Blood Pressure Meta-analysis Collaboration (LBPMC) Group. J Am Coll Nutr 2019; 38:552-563
  105. Xu L, Lam TH, Jiang CQ, Zhang WS, Zhu F, Jin YL, Woo J, Cheng KK, Thomas GN. Egg consumption and the risk of cardiovascular disease and all-cause mortality: Guangzhou Biobank Cohort Study and meta-analyses. Eur J Nutr 2019; 58:785-796
  106. Zhao B, Gan L, Graubard BI, Mannisto S, Albanes D, Huang J. Associations of Dietary Cholesterol, Serum Cholesterol, and Egg Consumption With Overall and Cause-Specific Mortality: Systematic Review and Updated Meta-Analysis. Circulation 2022; 145:1506-1520
  107. Vincent MJ, Allen B, Palacios OM, Haber LT, Maki KC. Meta-regression analysis of the effects of dietary cholesterol intake on LDL and HDL cholesterol. Am J Clin Nutr 2019; 109:7-16
  108. Herron KL, Lofgren IE, Sharman M, Volek JS, Fernandez ML. High intake of cholesterol results in less atherogenic low-density lipoprotein particles in men and women independent of response classification. Metabolism 2004; 53:823-830
  109. Djousse L, Gaziano JM. Dietary cholesterol and coronary artery disease: a systematic review. Curr Atheroscler Rep 2009; 11:418-422
  110. McNamara DJ. The impact of egg limitations on coronary heart disease risk: do the numbers add up? J Am Coll Nutr 2000; 19:540S-548S
  111. Grundy SM. Does Dietary Cholesterol Matter? Curr Atheroscler Rep 2016; 18:68
  112. Tannock LR, O'Brien KD, Knopp RH, Retzlaff B, Fish B, Wener MH, Kahn SE, Chait A. Cholesterol feeding increases C-reactive protein and serum amyloid A levels in lean insulin-sensitive subjects. Circulation 2005; 111:3058-3062
  113. Jakobsen MU, Dethlefsen C, Joensen AM, Stegger J, Tjonneland A, Schmidt EB, Overvad K. Intake of carbohydrates compared with intake of saturated fatty acids and risk of myocardial infarction: importance of the glycemic index. Am J Clin Nutr 2010; 91:1764-1768
  114. Lambadiari V, Korakas E, Tsimihodimos V. The Impact of Dietary Glycemic Index and Glycemic Load on Postprandial Lipid Kinetics, Dyslipidemia and Cardiovascular Risk. Nutrients 2020; 12
  115. Vega-Lopez S, Venn BJ, Slavin JL. Relevance of the Glycemic Index and Glycemic Load for Body Weight, Diabetes, and Cardiovascular Disease. Nutrients 2018; 10
  116. Jenkins DJA, Dehghan M, Mente A, Bangdiwala SI, Rangarajan S, Srichaikul K, Mohan V, Avezum A, Diaz R, Rosengren A, Lanas F, Lopez-Jaramillo P, Li W, Oguz A, Khatib R, Poirier P, Mohammadifard N, Pepe A, Alhabib KF, Chifamba J, Yusufali AH, Iqbal R, Yeates K, Yusoff K, Ismail N, Teo K, Swaminathan S, Liu X, Zatonska K, Yusuf R, Yusuf S. Glycemic Index, Glycemic Load, and Cardiovascular Disease and Mortality. N Engl J Med 2021; 384:1312-1322
  117. Jenkins DJA, Willett WC, Yusuf S, Hu FB, Glenn AJ, Liu S, Mente A, Miller V, Bangdiwala SI, Gerstein HC, Sieri S, Ferrari P, Patel AV, McCullough ML, Le Marchand L, Freedman ND, Loftfield E, Sinha R, Shu XO, Touvier M, Sawada N, Tsugane S, van den Brandt PA, Shuval K, Khan TA, Paquette M, Sahye-Pudaruth S, Patel D, Siu TFY, Srichaikul K, Kendall CWC, Sievenpiper JL. Association of glycaemic index and glycaemic load with type 2 diabetes, cardiovascular disease, cancer, and all-cause mortality: a meta-analysis of mega cohorts of more than 100 000 participants. Lancet Diabetes Endocrinol 2024; 12:107-118
  118. Yang Q, Zhang Z, Gregg EW, Flanders WD, Merritt R, Hu FB. Added sugar intake and cardiovascular diseases mortality among US adults. JAMA Intern Med 2014; 174:516-524
  119. Narain A, Kwok CS, Mamas MA. Soft drinks and sweetened beverages and the risk of cardiovascular disease and mortality: a systematic review and meta-analysis. Int J Clin Pract 2016; 70:791-805
  120. Ho FK, Gray SR, Welsh P, Petermann-Rocha F, Foster H, Waddell H, Anderson J, Lyall D, Sattar N, Gill JMR, Mathers JC, Pell JP, Celis-Morales C. Associations of fat and carbohydrate intake with cardiovascular disease and mortality: prospective cohort study of UK Biobank participants. BMJ 2020; 368:m688
  121. Malik VS, Li Y, Pan A, De Koning L, Schernhammer E, Willett WC, Hu FB. Long-Term Consumption of Sugar-Sweetened and Artificially Sweetened Beverages and Risk of Mortality in US Adults. Circulation 2019; 139:2113-2125
  122. de Koning L, Malik VS, Kellogg MD, Rimm EB, Willett WC, Hu FB. Sweetened beverage consumption, incident coronary heart disease, and biomarkers of risk in men. Circulation 2012; 125:1735-1741, S1731
  123. Gerber PA, Berneis K. Regulation of low-density lipoprotein subfractions by carbohydrates. Curr Opin Clin Nutr Metab Care 2012; 15:381-385
  124. Aeberli I, Gerber PA, Hochuli M, Kohler S, Haile SR, Gouni-Berthold I, Berthold HK, Spinas GA, Berneis K. Low to moderate sugar-sweetened beverage consumption impairs glucose and lipid metabolism and promotes inflammation in healthy young men: a randomized controlled trial. Am J Clin Nutr 2011; 94:479-485
  125. Fechner E, Smeets E, Schrauwen P, Mensink RP. The Effects of Different Degrees of Carbohydrate Restriction and Carbohydrate Replacement on Cardiometabolic Risk Markers in Humans-A Systematic Review and Meta-Analysis. Nutrients 2020; 12
  126. Mansoor N, Vinknes KJ, Veierod MB, Retterstol K. Effects of low-carbohydrate diets v. low-fat diets on body weight and cardiovascular risk factors: a meta-analysis of randomised controlled trials. Br J Nutr 2016; 115:466-479
  127. Hu T, Mills KT, Yao L, Demanelis K, Eloustaz M, Yancy WS, Jr., Kelly TN, He J, Bazzano LA. Effects of low-carbohydrate diets versus low-fat diets on metabolic risk factors: a meta-analysis of randomized controlled clinical trials. Am J Epidemiol 2012; 176 Suppl 7:S44-54
  128. Goff LM, Cowland DE, Hooper L, Frost GS. Low glycaemic index diets and blood lipids: a systematic review and meta-analysis of randomised controlled trials. Nutr Metab Cardiovasc Dis 2013; 23:1-10
  129. Schwingshackl L, Neuenschwander M, Hoffmann G, Buyken AE, Schlesinger S. Dietary sugars and cardiometabolic risk factors: a network meta-analysis on isocaloric substitution interventions. Am J Clin Nutr 2020; 111:187-196
  130. Te Morenga LA, Howatson AJ, Jones RM, Mann J. Dietary sugars and cardiometabolic risk: systematic review and meta-analyses of randomized controlled trials of the effects on blood pressure and lipids. Am J Clin Nutr 2014; 100:65-79
  131. Fattore E, Botta F, Agostoni C, Bosetti C. Effects of free sugars on blood pressure and lipids: a systematic review and meta-analysis of nutritional isoenergetic intervention trials. Am J Clin Nutr 2017; 105:42-56
  132. Livesey G, Taylor R. Fructose consumption and consequences for glycation, plasma triacylglycerol, and body weight: meta-analyses and meta-regression models of intervention studies. Am J Clin Nutr 2008; 88:1419-1437
  133. Stanhope KL, Bremer AA, Medici V, Nakajima K, Ito Y, Nakano T, Chen G, Fong TH, Lee V, Menorca RI, Keim NL, Havel PJ. Consumption of fructose and high fructose corn syrup increase postprandial triglycerides, LDL-cholesterol, and apolipoprotein-B in young men and women. J Clin Endocrinol Metab 2011; 96:E1596-1605
  134. Kroemer G, Lopez-Otin C, Madeo F, de Cabo R. Carbotoxicity-Noxious Effects of Carbohydrates. Cell 2018; 175:605-614
  135. Softic S, Meyer JG, Wang GX, Gupta MK, Batista TM, Lauritzen H, Fujisaka S, Serra D, Herrero L, Willoughby J, Fitzgerald K, Ilkayeva O, Newgard CB, Gibson BW, Schilling B, Cohen DE, Kahn CR. Dietary Sugars Alter Hepatic Fatty Acid Oxidation via Transcriptional and Post-translational Modifications of Mitochondrial Proteins. Cell Metab 2019; 30:735-753 e734
  136. Naghshi S, Sadeghi O, Willett WC, Esmaillzadeh A. Dietary intake of total, animal, and plant proteins and risk of all cause, cardiovascular, and cancer mortality: systematic review and dose-response meta-analysis of prospective cohort studies. BMJ 2020; 370:m2412
  137. Chen Z, Glisic M, Song M, Aliahmad HA, Zhang X, Moumdjian AC, Gonzalez-Jaramillo V, van der Schaft N, Bramer WM, Ikram MA, Voortman T. Dietary protein intake and all-cause and cause-specific mortality: results from the Rotterdam Study and a meta-analysis of prospective cohort studies. Eur J Epidemiol 2020; 35:411-429
  138. Budhathoki S, Sawada N, Iwasaki M, Yamaji T, Goto A, Kotemori A, Ishihara J, Takachi R, Charvat H, Mizoue T, Iso H, Tsugane S. Association of Animal and Plant Protein Intake With All-Cause and Cause-Specific Mortality in a Japanese Cohort. JAMA Intern Med 2019; 179:1509-1518
  139. Qi XX, Shen P. Associations of dietary protein intake with all-cause, cardiovascular disease, and cancer mortality: A systematic review and meta-analysis of cohort studies. Nutr Metab Cardiovasc Dis 2020; 30:1094-1105
  140. Schwingshackl L, Hoffmann G. Long-term effects of low-fat diets either low or high in protein on cardiovascular and metabolic risk factors: a systematic review and meta-analysis. Nutr J 2013; 12:48
  141. Wycherley TP, Moran LJ, Clifton PM, Noakes M, Brinkworth GD. Effects of energy-restricted high-protein, low-fat compared with standard-protein, low-fat diets: a meta-analysis of randomized controlled trials. Am J Clin Nutr 2012; 96:1281-1298
  142. Santesso N, Akl EA, Bianchi M, Mente A, Mustafa R, Heels-Ansdell D, Schunemann HJ. Effects of higher- versus lower-protein diets on health outcomes: a systematic review and meta-analysis. Eur J Clin Nutr 2012; 66:780-788
  143. Threapleton DE, Greenwood DC, Evans CE, Cleghorn CL, Nykjaer C, Woodhead C, Cade JE, Gale CP, Burley VJ. Dietary fibre intake and risk of cardiovascular disease: systematic review and meta-analysis. BMJ 2013; 347:f6879
  144. Pereira MA, O'Reilly E, Augustsson K, Fraser GE, Goldbourt U, Heitmann BL, Hallmans G, Knekt P, Liu S, Pietinen P, Spiegelman D, Stevens J, Virtamo J, Willett WC, Ascherio A. Dietary fiber and risk of coronary heart disease: a pooled analysis of cohort studies. Arch Intern Med 2004; 164:370-376
  145. Kim Y, Je Y. Dietary fibre intake and mortality from cardiovascular disease and all cancers: A meta-analysis of prospective cohort studies. Arch Cardiovasc Dis 2016; 109:39-54
  146. Reynolds A, Mann J, Cummings J, Winter N, Mete E, Te Morenga L. Carbohydrate quality and human health: a series of systematic reviews and meta-analyses. Lancet 2019; 393:434-445
  147. Liu L, Wang S, Liu J. Fiber consumption and all-cause, cardiovascular, and cancer mortalities: a systematic review and meta-analysis of cohort studies. Mol Nutr Food Res 2015; 59:139-146
  148. Wu Y, Qian Y, Pan Y, Li P, Yang J, Ye X, Xu G. Association between dietary fiber intake and risk of coronary heart disease: A meta-analysis. Clin Nutr 2015; 34:603-611
  149. Loveman E, Colquitt J, Rees K. Cochrane corner: does increasing intake of dietary fibre help prevent cardiovascular disease? Heart 2016; 102:1607-1609
  150. Hartley L, May MD, Loveman E, Colquitt JL, Rees K. Dietary fibre for the primary prevention of cardiovascular disease. Cochrane Database Syst Rev 2016:CD011472
  151. Hollaender PL, Ross AB, Kristensen M. Whole-grain and blood lipid changes in apparently healthy adults: a systematic review and meta-analysis of randomized controlled studies. Am J Clin Nutr 2015; 102:556-572
  152. Bell LP, Hectorne K, Reynolds H, Balm TK, Hunninghake DB. Cholesterol-lowering effects of psyllium hydrophilic mucilloid. Adjunct therapy to a prudent diet for patients with mild to moderate hypercholesterolemia. JAMA 1989; 261:3419-3423
  153. Anderson JW, Zettwoch N, Feldman T, Tietyen-Clark J, Oeltgen P, Bishop CW. Cholesterol-lowering effects of psyllium hydrophilic mucilloid for hypercholesterolemic men. Arch Intern Med 1988; 148:292-296
  154. Jovanovski E, Yashpal S, Komishon A, Zurbau A, Blanco Mejia S, Ho HVT, Li D, Sievenpiper J, Duvnjak L, Vuksan V. Effect of psyllium (Plantago ovata) fiber on LDL cholesterol and alternative lipid targets, non-HDL cholesterol and apolipoprotein B: a systematic review and meta-analysis of randomized controlled trials. Am J Clin Nutr 2018; 108:922-932
  155. Brown L, Rosner B, Willett WW, Sacks FM. Cholesterol-lowering effects of dietary fiber: a meta-analysis. Am J Clin Nutr 1999; 69:30-42
  156. Ghavami A, Ziaei R, Talebi S, Barghchi H, Nattagh-Eshtivani E, Moradi S, Rahbarinejad P, Mohammadi H, Ghasemi-Tehrani H, Marx W, Askari G. Soluble Fiber Supplementation and Serum Lipid Profile: A Systematic Review and Dose-Response Meta-Analysis of Randomized Controlled Trials. Adv Nutr 2023; 14:465-474
  157. Cohn JS, Kamili A, Wat E, Chung RW, Tandy S. Reduction in intestinal cholesterol absorption by various food components: mechanisms and implications. Atheroscler Suppl 2010; 11:45-48
  158. Jesch ED, Carr TP. Food Ingredients That Inhibit Cholesterol Absorption. Prev Nutr Food Sci 2017; 22:67-80
  159. Gunness P, Gidley MJ. Mechanisms underlying the cholesterol-lowering properties of soluble dietary fibre polysaccharides. Food Funct 2010; 1:149-155
  160. Piironeen V, Lampi A. Occurrence and levels of phytosterols in foods. New York Marcel Dekker, Inc.
  161. Ras RT, Geleijnse JM, Trautwein EA. LDL-cholesterol-lowering effect of plant sterols and stanols across different dose ranges: a meta-analysis of randomised controlled studies. Br J Nutr 2014; 112:214-219
  162. Demonty I, Ras RT, van der Knaap HC, Meijer L, Zock PL, Geleijnse JM, Trautwein EA. The effect of plant sterols on serum triglyceride concentrations is dependent on baseline concentrations: a pooled analysis of 12 randomised controlled trials. Eur J Nutr 2013; 52:153-160
  163. Calpe-Berdiel L, Escola-Gil JC, Blanco-Vaca F. New insights into the molecular actions of plant sterols and stanols in cholesterol metabolism. Atherosclerosis 2009; 203:18-31
  164. Micha R, Shulkin ML, Penalvo JL, Khatibzadeh S, Singh GM, Rao M, Fahimi S, Powles J, Mozaffarian D. Etiologic effects and optimal intakes of foods and nutrients for risk of cardiovascular diseases and diabetes: Systematic reviews and meta-analyses from the Nutrition and Chronic Diseases Expert Group (NutriCoDE). PLoS One 2017; 12:e0175149
  165. Bechthold A, Boeing H, Schwedhelm C, Hoffmann G, Knuppel S, Iqbal K, De Henauw S, Michels N, Devleesschauwer B, Schlesinger S, Schwingshackl L. Food groups and risk of coronary heart disease, stroke and heart failure: A systematic review and dose-response meta-analysis of prospective studies. Crit Rev Food Sci Nutr 2019; 59:1071-1090
  166. Vernooij RWM, Zeraatkar D, Han MA, El Dib R, Zworth M, Milio K, Sit D, Lee Y, Gomaa H, Valli C, Swierz MJ, Chang Y, Hanna SE, Brauer PM, Sievenpiper J, de Souza R, Alonso-Coello P, Bala MM, Guyatt GH, Johnston BC. Patterns of Red and Processed Meat Consumption and Risk for Cardiometabolic and Cancer Outcomes: A Systematic Review and Meta-analysis of Cohort Studies. Ann Intern Med 2019; 171:732-741
  167. Fraser GE, Sabate J, Beeson WL, Strahan TM. A possible protective effect of nut consumption on risk of coronary heart disease. The Adventist Health Study. Arch Intern Med 1992; 152:1416-1424
  168. Ros E. Nuts and novel biomarkers of cardiovascular disease. Am J Clin Nutr 2009; 89:1649S-1656S
  169. Ros E. Health benefits of nut consumption. Nutrients 2010; 2:652-682
  170. Sabate J, Haddad E, Tanzman JS, Jambazian P, Rajaram S. Serum lipid response to the graduated enrichment of a Step I diet with almonds: a randomized feeding trial. Am J Clin Nutr 2003; 77:1379-1384
  171. Sabate J, Oda K, Ros E. Nut consumption and blood lipid levels: a pooled analysis of 25 intervention trials. Arch Intern Med 2010; 170:821-827
  172. Sabate J, Wien M. Nuts, blood lipids and cardiovascular disease. Asia Pac J Clin Nutr 2010; 19:131-136
  173. Banel DK, Hu FB. Effects of walnut consumption on blood lipids and other cardiovascular risk factors: a meta-analysis and systematic review. Am J Clin Nutr 2009; 90:56-63
  174. Guasch-Ferre M, Li J, Hu FB, Salas-Salvado J, Tobias DK. Effects of walnut consumption on blood lipids and other cardiovascular risk factors: an updated meta-analysis and systematic review of controlled trials. Am J Clin Nutr 2018; 108:174-187
  175. Lee-Bravatti MA, Wang J, Avendano EE, King L, Johnson EJ, Raman G. Almond Consumption and Risk Factors for Cardiovascular Disease: A Systematic Review and Meta-analysis of Randomized Controlled Trials. Adv Nutr 2019; 10:1076-1088
  176. Hadi A, Asbaghi O, Kazemi M, Haghighian HK, Pantovic A, Ghaedi E, Abolhasani Zadeh F. Consumption of pistachio nuts positively affects lipid profiles: A systematic review and meta-analysis of randomized controlled trials. Crit Rev Food Sci Nutr 2023; 63:5358-5371
  177. Houston L, Probst YC, Chandra Singh M, Neale EP. Tree Nut and Peanut Consumption and Risk of Cardiovascular Disease: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Adv Nutr 2023; 14:1029-1049
  178. Pan A, Yu D, Demark-Wahnefried W, Franco OH, Lin X. Meta-analysis of the effects of flaxseed interventions on blood lipids. Am J Clin Nutr 2009; 90:288-297
  179. Hui S, Liu K, Lang H, Liu Y, Wang X, Zhu X, Doucette S, Yi L, Mi M. Comparative effects of different whole grains and brans on blood lipid: a network meta-analysis. Eur J Nutr 2019; 58:2779-2787
  180. Marshall S, Petocz P, Duve E, Abbott K, Cassettari T, Blumfield M, Fayet-Moore F. The Effect of Replacing Refined Grains with Whole Grains on Cardiovascular Risk Factors: A Systematic Review and Meta-Analysis of Randomized Controlled Trials with GRADE Clinical Recommendation. J Acad Nutr Diet 2020; 120:1859-1883 e1831
  181. Jenkins DJA, Blanco Mejia S, Chiavaroli L, Viguiliouk E, Li SS, Kendall CWC, Vuksan V, Sievenpiper JL. Cumulative Meta-Analysis of the Soy Effect Over Time. J Am Heart Assoc 2019; 8:e012458
  182. Moradi M, Daneshzad E, Azadbakht L. The effects of isolated soy protein, isolated soy isoflavones and soy protein containing isoflavones on serum lipids in postmenopausal women: A systematic review and meta-analysis. Crit Rev Food Sci Nutr 2020; 60:3414-3428
  183. Tokede OA, Onabanjo TA, Yansane A, Gaziano JM, Djousse L. Soya products and serum lipids: a meta-analysis of randomised controlled trials. Br J Nutr 2015; 114:831-843
  184. Anderson JW, Bush HM. Soy protein effects on serum lipoproteins: a quality assessment and meta-analysis of randomized, controlled studies. J Am Coll Nutr 2011; 30:79-91
  185. Anderson JW, Johnstone BM, Cook-Newell ME. Meta-analysis of the effects of soy protein intake on serum lipids. N Engl J Med 1995; 333:276-282
  186. Reynolds K, Chin A, Lees KA, Nguyen A, Bujnowski D, He J. A meta-analysis of the effect of soy protein supplementation on serum lipids. Am J Cardiol 2006; 98:633-640
  187. Zhan S, Ho SC. Meta-analysis of the effects of soy protein containing isoflavones on the lipid profile. Am J Clin Nutr 2005; 81:397-408
  188. Simental-Mendia LE, Gotto AM, Jr., Atkin SL, Banach M, Pirro M, Sahebkar A. Effect of soy isoflavone supplementation on plasma lipoprotein(a) concentrations: A meta-analysis. J Clin Lipidol 2018; 12:16-24
  189. Hunter PM, Hegele RA. Functional foods and dietary supplements for the management of dyslipidaemia. Nat Rev Endocrinol 2017; 13:278-288
  190. Jenkins DJ, Mirrahimi A, Srichaikul K, Berryman CE, Wang L, Carleton A, Abdulnour S, Sievenpiper JL, Kendall CW, Kris-Etherton PM. Soy protein reduces serum cholesterol by both intrinsic and food displacement mechanisms. J Nutr 2010; 140:2302S-2311S
  191. Ried K, Toben C, Fakler P. Effect of garlic on serum lipids: an updated meta-analysis. Nutr Rev 2013; 71:282-299
  192. Zeng T GF, Zhang C,Song F, Zhao X,  Xi K. A meta‐analysis of randomized, double‐blind, placebo‐controlled trials for the effects of garlic on serum lipid profiles. Journal of the Science of Food and Agricultue 2012; 92:1892-1902
  193. Reinhart KM, Talati R, White CM, Coleman CI. The impact of garlic on lipid parameters: a systematic review and meta-analysis. Nutr Res Rev 2009; 22:39-48
  194. Stevinson C, Pittler MH, Ernst E. Garlic for treating hypercholesterolemia. A meta-analysis of randomized clinical trials. Ann Intern Med 2000; 133:420-429
  195. Kwak JS, Kim JY, Paek JE, Lee YJ, Kim HR, Park DS, Kwon O. Garlic powder intake and cardiovascular risk factors: a meta-analysis of randomized controlled clinical trials. Nutr Res Pract 2014; 8:644-654
  196. Schwingshackl L, Missbach B, Hoffmann G. An umbrella review of garlic intake and risk of cardiovascular disease. Phytomedicine 2016; 23:1127-1133
  197. Sun YE, Wang W, Qin J. Anti-hyperlipidemia of garlic by reducing the level of total cholesterol and low-density lipoprotein: A meta-analysis. Medicine (Baltimore) 2018; 97:e0255
  198. Li S, Guo W, Lau W, Zhang H, Zhan Z, Wang X, Wang H. The association of garlic intake and cardiovascular risk factors: A systematic review and meta-analysis. Crit Rev Food Sci Nutr 2023; 63:8013-8031
  199. Shabani E, Sayemiri K, Mohammadpour M. The effect of garlic on lipid profile and glucose parameters in diabetic patients: A systematic review and meta-analysis. Prim Care Diabetes 2019; 13:28-42
  200. Kitamura K, Okada Y, Okada K, Kawaguchi Y, Nagaoka S. Epigallocatechin gallate induces an up-regulation of LDL receptor accompanied by a reduction of PCSK9 via the annexin A2-independent pathway in HepG2 cells. Mol Nutr Food Res 2017; 61
  201. Cui CJ, Jin JL, Guo LN, Sun J, Wu NQ, Guo YL, Liu G, Dong Q, Li JJ. Beneficial impact of epigallocatechingallate on LDL-C through PCSK9/LDLR pathway by blocking HNF1alpha and activating FoxO3a. J Transl Med 2020; 18:195
  202. Koo SI, Noh SK. Green tea as inhibitor of the intestinal absorption of lipids: potential mechanism for its lipid-lowering effect. J Nutr Biochem 2007; 18:179-183
  203. Onakpoya I, Spencer E, Heneghan C, Thompson M. The effect of green tea on blood pressure and lipid profile: a systematic review and meta-analysis of randomized clinical trials. Nutr Metab Cardiovasc Dis 2014; 24:823-836
  204. Zheng XX, Xu YL, Li SH, Liu XX, Hui R, Huang XH. Green tea intake lowers fasting serum total and LDL cholesterol in adults: a meta-analysis of 14 randomized controlled trials. Am J Clin Nutr 2011; 94:601-610
  205. Hartley L, Flowers N, Holmes J, Clarke A, Stranges S, Hooper L, Rees K. Green and black tea for the primary prevention of cardiovascular disease. Cochrane Database Syst Rev 2013:CD009934
  206. Zhao Y, Asimi S, Wu K, Zheng J, Li D. Black tea consumption and serum cholesterol concentration: Systematic review and meta-analysis of randomized controlled trials. Clin Nutr 2015; 34:612-619
  207. Liu W, Wan C, Huang Y, Li M. Effects of tea consumption on metabolic syndrome: A systematic review and meta-analysis of randomized clinical trials. Phytother Res 2020; 34:2857-2866
  208. Yuan F, Dong H, Fang K, Gong J, Lu F. Effects of green tea on lipid metabolism in overweight or obese people: A meta-analysis of randomized controlled trials. Mol Nutr Food Res 2018; 62
  209. Igho-Osagie E, Cara K, Wang D, Yao Q, Penkert LP, Cassidy A, Ferruzzi M, Jacques PF, Johnson EJ, Chung M, Wallace T. Short-Term Tea Consumption Is Not Associated with a Reduction in Blood Lipids or Pressure: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. J Nutr 2020; 150:3269-3279
  210. Momose Y, Maeda-Yamamoto M, Nabetani H. Systematic review of green tea epigallocatechin gallate in reducing low-density lipoprotein cholesterol levels of humans. Int J Food Sci Nutr 2016; 67:606-613
  211. Araya-Quintanilla F, Gutierrez-Espinoza H, Moyano-Galvez V, Munoz-Yanez MJ, Pavez L, Garcia K. Effectiveness of black tea versus placebo in subjects with hypercholesterolemia: A PRISMA systematic review and meta-analysis. Diabetes Metab Syndr 2019; 13:2250-2258
  212. Wang D, Chen C, Wang Y, Liu J, Lin R. Effect of black tea consumption on blood cholesterol: a meta-analysis of 15 randomized controlled trials. PLoS One 2014; 9:e107711
  213. Kim A, Chiu A, Barone MK, Avino D, Wang F, Coleman CI, Phung OJ. Green tea catechins decrease total and low-density lipoprotein cholesterol: a systematic review and meta-analysis. J Am Diet Assoc 2011; 111:1720-1729
  214. Xu R, Yang K, Li S, Dai M, Chen G. Effect of green tea consumption on blood lipids: a systematic review and meta-analysis of randomized controlled trials. Nutr J 2020; 19:48
  215. O'Keefe JH, Bhatti SK, Patil HR, DiNicolantonio JJ, Lucan SC, Lavie CJ. Effects of habitual coffee consumption on cardiometabolic disease, cardiovascular health, and all-cause mortality. J Am Coll Cardiol 2013; 62:1043-1051
  216. Urgert R, Katan MB. The cholesterol-raising factor from coffee beans. Annu Rev Nutr 1997; 17:305-324
  217. Jee SH, He J, Appel LJ, Whelton PK, Suh I, Klag MJ. Coffee consumption and serum lipids: a meta-analysis of randomized controlled clinical trials. Am J Epidemiol 2001; 153:353-362
  218. Latham LS, Hensen ZK, Minor DS. Chocolate--guilty pleasure or healthy supplement? J Clin Hypertens (Greenwich) 2014; 16:101-106
  219. Hooper L, Kay C, Abdelhamid A, Kroon PA, Cohn JS, Rimm EB, Cassidy A. Effects of chocolate, cocoa, and flavan-3-ols on cardiovascular health: a systematic review and meta-analysis of randomized trials. Am J Clin Nutr 2012; 95:740-751
  220. Lin X, Zhang I, Li A, Manson JE, Sesso HD, Wang L, Liu S. Cocoa Flavanol Intake and Biomarkers for Cardiometabolic Health: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. J Nutr 2016; 146:2325-2333
  221. Shrime MG, Bauer SR, McDonald AC, Chowdhury NH, Coltart CE, Ding EL. Flavonoid-rich cocoa consumption affects multiple cardiovascular risk factors in a meta-analysis of short-term studies. J Nutr 2011; 141:1982-1988
  222. Tokede OA, Gaziano JM, Djousse L. Effects of cocoa products/dark chocolate on serum lipids: a meta-analysis. Eur J Clin Nutr 2011; 65:879-886
  223. Rimm EB, Williams P, Fosher K, Criqui M, Stampfer MJ. Moderate alcohol intake and lower risk of coronary heart disease: meta-analysis of effects on lipids and haemostatic factors. BMJ 1999; 319:1523-1528
  224. Brien SE, Ronksley PE, Turner BJ, Mukamal KJ, Ghali WA. Effect of alcohol consumption on biological markers associated with risk of coronary heart disease: systematic review and meta-analysis of interventional studies. BMJ 2011; 342:d636
  225. Spaggiari G, Cignarelli A, Sansone A, Baldi M, Santi D. To beer or not to beer: A meta-analysis of the effects of beer consumption on cardiovascular health. PLoS One 2020; 15:e0233619
  226. Brinton EA. Effects of ethanol intake on lipoproteins. Curr Atheroscler Rep 2012; 14:108-114
  227. Badia RR, Pradhan RV, Ayers CR, Chandra A, Rohatgi A. The Relationship of Alcohol Consumption and HDL Metabolism in the Multiethnic Dallas Heart Study. J Clin Lipidol 2023; 17:124-130
  228. Kovar J, Zemankova K. Moderate alcohol consumption and triglyceridemia. Physiol Res 2015; 64:S371-375
  229. Klop B, do Rego AT, Cabezas MC. Alcohol and plasma triglycerides. Curr Opin Lipidol 2013; 24:321-326
  230. Cesena FH, Coimbra SR, Andrade AC, da Luz PL. The relationship between body mass index and the variation in plasma levels of triglycerides after short-term red wine consumption. J Clin Lipidol 2011; 5:294-298
  231. Ginsberg H, Olefsky J, Farquhar JW, Reaven GM. Moderate ethanol ingestion and plasma triglyceride levels. A study in normal and hypertriglyceridemic persons. Ann Intern Med 1974; 80:143-149
  232. De Oliveira ESER, Foster D, McGee Harper M, Seidman CE, Smith JD, Breslow JL, Brinton EA. Alcohol consumption raises HDL cholesterol levels by increasing the transport rate of apolipoproteins A-I and A-II. Circulation 2000; 102:2347-2352
  233. You M, Arteel GE. Effect of ethanol on lipid metabolism. J Hepatol 2019; 70:237-248
  234. Sozio M, Crabb DW. Alcohol and lipid metabolism. Am J Physiol Endocrinol Metab 2008; 295:E10-16
  235. Rees K, Takeda A, Martin N, Ellis L, Wijesekara D, Vepa A, Das A, Hartley L, Stranges S. Mediterranean-style diet for the primary and secondary prevention of cardiovascular disease. Cochrane Database Syst Rev 2019; 3:CD009825
  236. Ge L, Sadeghirad B, Ball GDC, da Costa BR, Hitchcock CL, Svendrovski A, Kiflen R, Quadri K, Kwon HY, Karamouzian M, Adams-Webber T, Ahmed W, Damanhoury S, Zeraatkar D, Nikolakopoulou A, Tsuyuki RT, Tian J, Yang K, Guyatt GH, Johnston BC. Comparison of dietary macronutrient patterns of 14 popular named dietary programmes for weight and cardiovascular risk factor reduction in adults: systematic review and network meta-analysis of randomised trials. BMJ 2020; 369:m696
  237. Harsha DW, Sacks FM, Obarzanek E, Svetkey LP, Lin PH, Bray GA, Aickin M, Conlin PR, Miller ER, 3rd, Appel LJ. Effect of dietary sodium intake on blood lipids: results from the DASH-sodium trial. Hypertension 2004; 43:393-398
  238. Siervo M, Lara J, Chowdhury S, Ashor A, Oggioni C, Mathers JC. Effects of the Dietary Approach to Stop Hypertension (DASH) diet on cardiovascular risk factors: a systematic review and meta-analysis. Br J Nutr 2015; 113:1-15
  239. Chiavaroli L, Viguiliouk E, Nishi SK, Blanco Mejia S, Rahelic D, Kahleova H, Salas-Salvado J, Kendall CW, Sievenpiper JL. DASH Dietary Pattern and Cardiometabolic Outcomes: An Umbrella Review of Systematic Reviews and Meta-Analyses. Nutrients 2019; 11
  240. Lari A, Sohouli MH, Fatahi S, Cerqueira HS, Santos HO, Pourrajab B, Rezaei M, Saneie S, Rahideh ST. The effects of the Dietary Approaches to Stop Hypertension (DASH) diet on metabolic risk factors in patients with chronic disease: A systematic review and meta-analysis of randomized controlled trials. Nutr Metab Cardiovasc Dis 2021; 31:2766-2778
  241. Chiavaroli L, Nishi SK, Khan TA, Braunstein CR, Glenn AJ, Mejia SB, Rahelic D, Kahleova H, Salas-Salvado J, Jenkins DJA, Kendall CWC, Sievenpiper JL. Portfolio Dietary Pattern and Cardiovascular Disease: A Systematic Review and Meta-analysis of Controlled Trials. Prog Cardiovasc Dis 2018; 61:43-53
  242. Ramezani-Jolfaie N, Mohammadi M, Salehi-Abargouei A. The effect of healthy Nordic diet on cardio-metabolic markers: a systematic review and meta-analysis of randomized controlled clinical trials. Eur J Nutr 2019; 58:2159-2174
  243. Massara P, Zurbau A, Glenn AJ, Chiavaroli L, Khan TA, Viguiliouk E, Mejia SB, Comelli EM, Chen V, Schwab U, Riserus U, Uusitupa M, Aas AM, Hermansen K, Thorsdottir I, Rahelic D, Kahleova H, Salas-Salvado J, Kendall CWC, Sievenpiper JL. Nordic dietary patterns and cardiometabolic outcomes: a systematic review and meta-analysis of prospective cohort studies and randomised controlled trials. Diabetologia 2022; 65:2011-2031
  244. Kirkpatrick CF, Bolick JP, Kris-Etherton PM, Sikand G, Aspry KE, Soffer DE, Willard KE, Maki KC. Review of current evidence and clinical recommendations on the effects of low-carbohydrate and very-low-carbohydrate (including ketogenic) diets for the management of body weight and other cardiometabolic risk factors: A scientific statement from the National Lipid Association Nutrition and Lifestyle Task Force. J Clin Lipidol 2019; 13:689-711 e681
  245. Kwiterovich PO, Jr., Vining EP, Pyzik P, Skolasky R, Jr., Freeman JM. Effect of a high-fat ketogenic diet on plasma levels of lipids, lipoproteins, and apolipoproteins in children. JAMA 2003; 290:912-920
  246. Buga A, Welton GL, Scott KE, Atwell AD, Haley SJ, Esbenshade NJ, Abraham J, Buxton JD, Ault DL, Raabe AS, Noakes TD, Hyde PN, Volek JS, Prins PJ. The Effects of Carbohydrate versus Fat Restriction on Lipid Profiles in Highly Trained, Recreational Distance Runners: A Randomized, Cross-Over Trial. Nutrients 2022; 14
  247. Buren J, Ericsson M, Damasceno NRT, Sjodin A. A Ketogenic Low-Carbohydrate High-Fat Diet Increases LDL Cholesterol in Healthy, Young, Normal-Weight Women: A Randomized Controlled Feeding Trial. Nutrients 2021; 13
  248. Creighton BC, Hyde PN, Maresh CM, Kraemer WJ, Phinney SD, Volek JS. Paradox of hypercholesterolaemia in highly trained, keto-adapted athletes. BMJ Open Sport Exerc Med 2018; 4:e000429
  249. Retterstol K, Svendsen M, Narverud I, Holven KB. Effect of low carbohydrate high fat diet on LDL cholesterol and gene expression in normal-weight, young adults: A randomized controlled study. Atherosclerosis 2018; 279:52-61
  250. Lima PA, de Brito Sampaio LP, Damasceno NR. Ketogenic diet in epileptic children: impact on lipoproteins and oxidative stress. Nutr Neurosci 2015; 18:337-344
  251. Joo M, Moon S, Lee YS, Kim MG. Effects of very low-carbohydrate ketogenic diets on lipid profiles in normal-weight (body mass index < 25 kg/m2) adults: a meta-analysis. Nutr Rev 2023; 81:1393-1401
  252. Castellana M, Conte E, Cignarelli A, Perrini S, Giustina A, Giovanella L, Giorgino F, Trimboli P. Efficacy and safety of very low calorie ketogenic diet (VLCKD) in patients with overweight and obesity: A systematic review and meta-analysis. Rev Endocr Metab Disord 2020; 21:5-16
  253. Norwitz NG, Feldman D, Soto-Mota A, Kalayjian T, Ludwig DS. Elevated LDL Cholesterol with a Carbohydrate-Restricted Diet: Evidence for a "Lean Mass Hyper-Responder" Phenotype. Curr Dev Nutr 2022; 6:nzab144
  254. Houttu V, Grefhorst A, Cohn DM, Levels JHM, Roeters van Lennep J, Stroes ESG, Groen AK, Tromp TR. Severe Dyslipidemia Mimicking Familial Hypercholesterolemia Induced by High-Fat, Low-Carbohydrate Diets: A Critical Review. Nutrients 2023; 15
  255. Norwitz NG, Mindrum MR, Giral P, Kontush A, Soto-Mota A, Wood TR, D'Agostino DP, Manubolu VS, Budoff M, Krauss RM. Elevated LDL-cholesterol levels among lean mass hyper-responders on low-carbohydrate ketogenic diets deserve urgent clinical attention and further research. J Clin Lipidol 2022; 16:765-768
  256. Goldberg IJ, Ibrahim N, Bredefeld C, Foo S, Lim V, Gutman D, Huggins LA, Hegele RA. Ketogenic diets, not for everyone. J Clin Lipidol 2021; 15:61-67
  257. Schaffer AE, D'Alessio DA, Guyton JR. Extreme elevations of low-density lipoprotein cholesterol with very low carbohydrate, high fat diets. J Clin Lipidol 2021; 15:525-526
  258. Schmidt T, Harmon DM, Kludtke E, Mickow A, Simha V, Kopecky S. Dramatic elevation of LDL cholesterol from ketogenic-dieting: A Case Series. Am J Prev Cardiol 2023; 14:100495
  259. Foster GD, Wyatt HR, Hill JO, Makris AP, Rosenbaum DL, Brill C, Stein RI, Mohammed BS, Miller B, Rader DJ, Zemel B, Wadden TA, Tenhave T, Newcomb CW, Klein S. Weight and metabolic outcomes after 2 years on a low-carbohydrate versus low-fat diet: a randomized trial. Ann Intern Med 2010; 153:147-157
  260. Yokoyama Y, Levin SM, Barnard ND. Association between plant-based diets and plasma lipids: a systematic review and meta-analysis. Nutr Rev 2017; 75:683-698
  261. Wang F, Zheng J, Yang B, Jiang J, Fu Y, Li D. Effects of Vegetarian Diets on Blood Lipids: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. J Am Heart Assoc 2015; 4:e002408
  262. Dansinger ML, Gleason JA, Griffith JL, Selker HP, Schaefer EJ. Comparison of the Atkins, Ornish, Weight Watchers, and Zone diets for weight loss and heart disease risk reduction: a randomized trial. JAMA 2005; 293:43-53
  263. Ference BA, Ray KK, Catapano AL, Ference TB, Burgess S, Neff DR, Oliver-Williams C, Wood AM, Butterworth AS, Di Angelantonio E, Danesh J, Kastelein JJP, Nicholls SJ. Mendelian Randomization Study of ACLY and Cardiovascular Disease. N Engl J Med 2019; 380:1033-1042
  264. Ference BA, Kastelein JJP, Ray KK, Ginsberg HN, Chapman MJ, Packard CJ, Laufs U, Oliver-Williams C, Wood AM, Butterworth AS, Di Angelantonio E, Danesh J, Nicholls SJ, Bhatt DL, Sabatine MS, Catapano AL. Association of Triglyceride-Lowering LPL Variants and LDL-C-Lowering LDLR Variants With Risk of Coronary Heart Disease. JAMA 2019; 321:364-373
  265. Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, Himmelfarb CD, Khera A, Lloyd-Jones D, McEvoy JW, Michos ED, Miedema MD, Munoz D, Smith SC, Jr., Virani SS, Williams KA, Sr., Yeboah J, Ziaeian B. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 140:e596-e646
  266. Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, Chapman MJ, De Backer GG, Delgado V, Ference BA, Graham IM, Halliday A, Landmesser U, Mihaylova B, Pedersen TR, Riccardi G, Richter DJ, Sabatine MS, Taskinen MR, Tokgozoglu L, Wiklund O, Group ESCSD. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J 2020; 41:111-188
  267. Kirkpatrick CF, Sikand G, Petersen KS, Anderson CAM, Aspry KE, Bolick JP, Kris-Etherton PM, Maki KC. Nutrition interventions for adults with dyslipidemia: A Clinical Perspective from the National Lipid Association. J Clin Lipidol 2023; 17:428-451
  268. Hunninghake DB, Stein EA, Dujovne CA, Harris WS, Feldman EB, Miller VT, Tobert JA, Laskarzewski PM, Quiter E, Held J, et al. The efficacy of intensive dietary therapy alone or combined with lovastatin in outpatients with hypercholesterolemia. N Engl J Med 1993; 328:1213-1219
  269. Subramanian S. Hypertriglyceridemia: Pathophysiology, Role of Genetics, Consequences, and Treatment. In: Feingold KR, Anawalt B, Boyce A, Chrousos G, de Herder WW, Dungan K, Grossman A, Hershman JM, Hofland J, Kaltsas G, Koch C, Kopp P, Korbonits M, McLachlan R, Morley JE, New M, Purnell J, Singer F, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2024.
  270. Enkhmaa B, Anuurad E, Berglund L. Lipoprotein (a): impact by ethnicity and environmental and medical conditions. J Lipid Res 2016; 57:1111-1125
  271. Law HG, Meyers FJ, Berglund L, Enkhmaa B. Lipoprotein(a) and diet-a challenge for a role of saturated fat in cardiovascular disease risk reduction? Am J Clin Nutr 2023; 118:23-26
  272. Rees K, Dyakova M, Ward K, Thorogood M, Brunner E. Dietary advice for reducing cardiovascular risk. Cochrane Database Syst Rev 2013:CD002128
  273. Ross LJ, Barnes KA, Ball LE, Mitchell LJ, Sladdin I, Lee P, Williams LT. Effectiveness of dietetic consultation for lowering blood lipid levels in the management of cardiovascular disease risk: A systematic review and meta-analysis of randomised controlled trials. Nutr Diet 2019; 76:199-210
  274. Moller G, Andersen HK, Snorgaard O. A systematic review and meta-analysis of nutrition therapy compared with dietary advice in patients with type 2 diabetes. Am J Clin Nutr 2017; 106:1394-1400

Osteoporosis in Men

ABSTRACT

 

While progress has been made, osteoporosis in men is still under-diagnosed and under-treated.  In general, men fracture about 10 years later than women, with large increases in fracture risk after about age 75, although a small number of men may present with vertebral fractures in middle age. There is overlap between secondary causes of osteoporosis and risk factors for primary osteoporosis, but men with fragility fractures or low bone density require evaluation by history and physical examination as well as a short list of laboratory tests. Bone mineral density by dual-energy x-ray absorptiometry remains the best test for diagnosing osteoporosis in men, although opportunistic bone density measurements from CT scans are promising. Clinicians should recommend a comprehensive program of treatment with fall risk reduction, attention to diet and vitamin D status, and pharmacologic treatment. In general, medications that work in women should lead to fewer fractures in men, although there are few studies in men with fracture risk reduction as the primary outcome. Most men with osteoporosis should be treated with oral or intravenous bisphosphonates, but men at very high fracture risk should be considered for initial anabolic treatment. Compared to women, men are more likely to die after hip fracture. The long-term management of men with osteoporosis is based solely on a few studies in women.

 

INTRODUCTION

 

Despite new information and even some attention in popular publications, osteoporosis in men remains under-appreciated, under-diagnosed, and under-treated. While the evidence base for evaluation and management of male osteoporosis will always be less than that of female osteoporosis, there is enough information available to identify those men at highest risk, evaluate them thoroughly, and treat them with a program that will reduce osteoporotic fractures.  Nonetheless, there are many impediments to quality care at all stages: recognition, diagnosis, assessment, and management (both short- and long-term). In this chapter, the challenges for the primary care and specialty clinician will be addressed with the purpose of providing an approach to reducing osteoporotic fracture in men.

 

DEFINITION, CLASSIFICATION, AND EPIDEMIOLOGY OF MALE OSTEOPOROSIS

 

Definitions of Osteoporosis in Men

 

In an older adult, regardless of gender, a fall from a standing position should not result in a fracture. Hence, one definition of osteoporosis is just such a fracture. By consensus, some fractures are considered osteoporotic; and others may or may not be, even if they occur with minimal trauma. For the most commonly used fracture risk calculator FRAX (see below), low trauma fractures of the spine, hip, forearm (radius and ulna), and humerus are considered osteoporotic. Pelvic, rib, and sternal fractures may also be osteoporotic. Most authorities do not count skull or digital fractures, and ankle fractures are the most controversial. Interestingly, in a study (1) of older men (MrOS, see below), any fracture after age 50 increased the risk of osteoporotic hip fracture, when combined with bone mineral density (BMD) measured by dual energy x-ray absorptiometry (DXA). The above is compatible with the standard definition of osteoporosis as compromised bone strength leading to increased risk of low trauma fracture (2).  A more operational diagnosis relies on DXA measurements, with a BMD T-score of -2.5 or worse in the spine or hip serving as the diagnosis of osteoporosis (3). This means that the patient’s BMD is at least 2.5 standard deviations below the normal young mean. As the BMD decreases, the fracture risk rises markedly. In men there has been great controversy about the normative database that should be used for the calculation of T-scores. Based on the fact that men and women fracture at similar (overlapping but not quite identical) absolute bone density measurements (in g/cm2), several major osteoporosis organizations, including the International Society for Clinical Densitometry (ISCD), recommend use of the young, white female normative database for all T-score calculations (4). The reader is directed to a discussion of this subject (5), and more details about DXA are discussed below. While the man with a T-score of -2.5 or less is clearly at the highest risk for fracture, more fractures occur in men with T-scores between -1 and -2.5, what is called osteopenia or low bone mass. The reason for this is that there are many more men in this category. For example, baseline DXA testing was done in the Rotterdam study (6), a large, long-term observational study. In men, 29% of hip fractures were in those with osteoporosis by DXA, 64% had osteopenia, and 7% had normal bone density. DXA measures bone quantity, and fracture risk is also determined by bone quality, which is impossible to measure definitively with current clinical tools. Thus, fracture risk calculators have been established, based on epidemiological data, to reflect bone quality and add to the predictive power of DXA. The most commonly used fracture risk calculator is FRAX (7), available online as www.sheffield.ac.uk/FRAX/. FRAX calculates the 10-year risk of hip fracture and of major osteoporotic fracture (MOF) based on the femoral neck BMD in g/cm2 plus a series of risk factors: age, sex, previous fracture, parental hip fracture, current smoking, having more than 3 alcoholic drinks daily, rheumatoid arthritis, exposure to systemic glucocorticoid drugs, and secondary osteoporosis. It also can be calculated using the body mass index (BMI) as a surrogate for femoral neck BMD.  While some studies (e.g. 8) suggest that FRAX works better in women than men, the calculator has been adopted internationally. There are other risk calculators, such as the Garvan nomogram (9), which unlike FRAX includes falls as a risk factor for determining fracture risk. It is interesting to note that at age 50, a man has a risk of experiencing an osteoporotic fracture of 13 to 25%, depending on the population studied. A much smaller percentage of men over age 50 have T-scores of -2.5 or worse, although the proportion increases with age. In a study of NHANES data, osteoporosis was defined from FRAX calculations: a 10-year hip fracture risk of > 3% or MOF of > 20% (10,11,12). Using this definition 16% of American men at age 50 and 46% at age 80 met criteria for osteoporosis, much more similar to actual incidences of osteoporotic fracture (12). There is some evidence (e.g. 13) that treating women who meet this fracture risk criterion respond to current osteoporosis treatment. There are, to my knowledge, no studies in men that show that diagnosing osteoporosis in a man by this method and treating him with standard medication leads to fewer fractures. Indeed Ensrud (14) has reported that men with osteoporosis by DXA have the best response to osteoporosis treatment, compared to those with better BMD.  However, as will be described below, studies of osteoporosis medications in men have almost always used the more liberal male normative database for the calculation of the T-score and accepted men with osteopenia plus a history of an osteoporotic fracture for inclusion. In these studies, such men responded to the treatment regimen with improvements in the standard surrogates for fracture. It is also interesting that the Rotterdam study (6) mentioned above also used sex-specific normative databases for the DXA diagnosis of osteoporosis. Had they used the female database for all participants, the group with osteoporosis by DXA at baseline would have accounted for an even smaller percentage of the hip fractures observed. A practical approach to the diagnosis is provided below.

 

There are other potential tools for determining fracture risk. For example, FRAX Plus (15) will be released soon. It will add falls, diabetes mellitus, and other risk factors to the fracture risk prediction. Trabecular Bone Score (16) can be derived from DXA of the spine. It reflects bone architecture and can be added to FRAX calculations. It is thought to be a reflection of bone quality (17). The reader is directed to the chapters on osteoporosis in women, which will include other methods to better quantify fracture risk.

 

Epidemiology of Osteoporosis in Men

 

Fractures in men occur about 10 years later in life than in women (18). Men, with generally bigger bones, have more to lose over time. In addition, men do not undergo the rapid increase of bone turnover that occurs with menopause and the marked drop in estradiol secretion.  Instead, it is well-accepted that the loss of sex steroids in men is a much more gradual process (19), and it is interesting to note that, with aging, BMD is more closely associated with serum bioavailable estradiol levels than with any serum measure of testosterone (20). Nonetheless, in middle-aged men presenting usually with vertebral fractures or low spine BMD by DXA, one of the causes of osteoporosis earlier in life is hypogonadism. This type of osteoporosis is analogous to what Riggs and Melton labelled postmenopausal osteoporosis in a seminal paper (21) many years ago. They described osteoporosis in women soon after menopause as loss of mostly trabecular bone (and thus vertebrae were particularly at risk) and associated with the dramatic drop in ovarian estrogen production. Men with organic causes of hypogonadism (for example, pituitary tumors) may also present with very low serum testosterone levels and osteoporosis. There are other causes of this earlier type of osteoporosis in men, including hypercalciuria (22) and secondary causes, which may not be very apparent clinically.  An example of the latter is celiac disease, which may not bring the patient to clinical attention but can lead to early fracture risk. (See below for other secondary causes of osteoporosis in men).  Finally, there have been reports of genetic disorders leading to so-called idiopathic osteoporosis in men, such as low levels of IGF-I without abnormalities in growth hormone (23) and low serum bioavailable estradiol levels (24). It is much more likely for a man to experience an osteoporotic fracture after age 75 than at middle age, but the clinician needs to know that early osteoporosis occurs and that it should lead to evaluation and treatment.

 

The majority of fractures in men occur later in life. The Rotterdam Study (6) assessed only nonvertebral fractures because the date of vertebral fractures was much more difficult to ascertain. In men the incidence of nonvertebral fracture accelerates after about age 75. The incidence of nonvertebral fractures in men at ages 80 to 84 is about the same as the incidence in women ages 70 to 74. This observation is the basis for stating that fractures occur about 10 years later in men than women, and it may explain why men come to fracture with more co-morbidities than women, a possible explanation for why men do relatively poorly after hip fracture in particular. As used in FRAX, risk factors for fracture, presumably reflecting bone quality, magnify the impact of bone quantity (DXA) on fracture risk. In the FRAX calculation age, prior fracture, and history of parental fracture are the most important variables. Not well known is a report (25) from Leslie and colleagues proposing that the age at which a parent has fractured a hip is important. If the parent has fractured before age 80, this adds greatly to the patient’s risk of fracture, whereas if the parental hip fracture occurred late in life, the impact on fracture risk is much less. The analogy with familial heart disease is striking: early heart disease, particularly in a patient’s mother, makes the patient at much increased risk for cardiac events. 

 

Risk Factors and Secondary Causes of Osteoporosis

 

Table 1 summarizes potential risk factors and secondary causes of osteoporosis, most of which pertain to men as well as to women. Aspects specific to men are discussed below.

 

Table 1. Conditions, Diseases and Medications that Cause or Contribute to Osteoporosis and Fractures

Lifestyle Factors

Low Calcium Intake

Vitamin D Insufficiency

Excess Vitamin A

High Caffeine Intake

High Salt Intake

Aluminum (in antacids)

Inadequate Physical Activity

Immobilization

Smoking

Falling

Thinness

Alcoholism

Genetic Factors

Cystic Fibrosis

Homocystinuria

Osteogenesis Imperfecta

Ehlers-Danlos Syndrome

Hypophosphatasia

Gaucher’s Disease

Idiopathic Hypercalciuria

Porphyria

Glycogen storage diseases

Marfan Syndrome

Riley-Day Syndrome

Hemochromatosis

Menkes Steely Hair Syndrome

Parental History of Hip Fracture

Androgen Insensitivity

Turner’s & Klinefelter’s Syndromes

Endocrine Disorders

Adrenal Insufficiency

Diabetes Mellitus

Hyperthyroidism

Cushing’s Syndrome

Hyperparathyroidism

Hypogonadal States

Panhypopituitarism

Athletic Amenorrhea

Anorexia Nervosa and Bulimia

Hyperprolactinemia

Premature Ovarian Failure

 

Gastrointestinal disorders

Celiac Disease

Inflammatory Bowel Disease

Primary Biliary Cirrhosis

Gastric Bypass

Malabsorption

GI Surgery

Pancreatic Disease

 

Hematologic Disorders

Hemophilia

Multiple Myeloma

Systemic Mastocytosis

Leukemia

Lymphoma

Sickle Cell Disease

Thalassemia

 

Rheumatic and Autoimmune Diseases

Ankylosing Spondylitis

Lupus

Rheumatoid Arthritis

 

Miscellaneous Conditions and Diseases

Chronic Obstructive Pulmonary Disease

Muscular Dystrophy

Amyloidosis

End Stage Renal Disease

Parenteral Nutrition

Chronic Metabolic Acidosis

Epilepsy

Post-Transplant Bone Disease

Congestive Heart Failure

Idiopathic Scoliosis

Prior Fracture as an Adult

Depression

Multiple Sclerosis

Sarcoidosis

HIV/AIDS

 

Medications

Anticoagulants (heparin)

Cancer Chemotherapeutic Drugs

Gonadotropin Releasing Hormone Agonists

Anticonvulsants

Lithium

Aromatase Inhibitors

Depo-medroxyprogesterone

Barbiturates

Glucocorticoids (> 5mg of prednisone or equivalent for > 3 months)

Cyclosporine A

Tacrolimus

 

Table from the Endotext chapter entitled “Osteoporosis: Clinical Evaluation” by E. Michael Lewiecki.

 

The Osteoporotic Fractures in Men Study (MrOS) has provided a great deal of information. This long-term US observational study included about 6000 men for more than 15 years (26). Of the many important findings from the study, one is of particular interest. What are the characteristics of men, in addition to DXA, that predict hip fracture?  In this excellent report (1), several surprising factors were discovered and others were expected. Of the latter group, age >75, current smoking, Parkinson’s disease, hyperthyroidism, hyperparathyroidism, and decreased cognitive function were risk factors that greatly increased the fracture risk prediction, when added to BMD. More interestingly, several other risk factors were found: low dietary protein, any fracture after age 50, divorce, tricyclic anti-depressants or hypoglycemic agents, tall stature, and the inability to do chair stands. Having 4 of these risk factors increased hip fracture risk 5-fold in men with osteoporosis by DXA.

 

Secondary causes of osteoporosis are thought to be particularly important in men, but there is overlap between what might be called a secondary cause of osteoporosis and in another context a risk factor for primary osteoporosis. In addition, while treatment of a secondary cause may be adequate to lower fracture risk, a man will possibly be at risk for primary osteoporosis as he ages – and need osteoporosis specific treatment. Hyperthyroidism, hyperparathyroidism, and hypercalciuria are well-characterized secondary causes of osteoporosis in men.  A particularly important cause is glucocorticoid excess, usually due to treatment of an inflammatory disorder with systemic glucocorticoids. Glucocorticoid-induced osteoporosis (GIOP) is considered the most important medication-related type of osteoporosis and is of particular concern because fracture risk is increased (27) after 3 months of prednisone equivalent doses of 5 to 7.5 mg daily – and maybe earlier (28) and maybe even lower doses.  There is evidence that men are less likely to be evaluated and treated for GIOP (29), perhaps because clinicians again do not think that osteoporosis happens in men. While endogenous Cushing’s syndrome leads to GIOP, most cases are due to exogenous glucocorticoids, and about 1% of the adult population may be taking such medications at any particular time. 

 

Multiple myeloma may present with osteoporosis-like vertebral fractures; hence, this diagnosis must be in the differential diagnosis of the new patient presenting this way. Malabsorption, particularly celiac disease, is another potential secondary cause of osteoporosis. While type 2 diabetes mellitus is clearly associated with increased fracture risk (30), bone density is usually not decreased, whereas in type 1 diabetes mellitus, BMD is variable. Celiac disease is associated with type 1 diabetes mellitus, and thus it should be considered in men with type 1 diabetes mellitus and a fracture. Mastocytosis is associated with osteoporosis, although the mechanism is not fully understood. Hemochromatosis, presumably via some of its consequences is also on the list of secondary causes. Immobilization leads to loss of bone.  Spinal cord injury is much more common in men than women, and bone is lost distal to the cord lesion and may be worse than immobilization per se because of comorbidities (31). The fracture risk is high in men with spinal cord injury, and other types of decreased mobility should be considered when assessing men: stroke, Parkinson’s disease, multiple sclerosis, etc. 

 

Men with HIV now have life expectancies close to those without HIV, but the risk of osteoporosis and fracture is greater. Fractures appear about 10 years earlier than in men without HIV.  In a systematic review of large numbers of people living with HIV (mostly men), the relative risk of a low trauma fracture was 1.51 and the relative risk of a hip fracture was 4.09 (32). In a meta-analysis of bone mineral density testing (33), low bone mass (osteopenia) and osteoporosis by dual energy x-ray absorptiometry (DXA) was more prevalent in persons (again mostly men) with HIV compared to non-infected controls.  Interestingly, initiation of antiretroviral therapy (ART) appeared to be associated with lower bone density, confirmed by a subsequent randomized trial (34). ART with tenofovir alafenamide appears to have better renal safety than tenofovir disoproxil fumarate (35) and may have less impact on bone. Fortunately, men with HIV appear to response well to bisphosphonate therapy for osteoporosis 36).    

 

Osteoporosis and Hypogonadism

 

As mentioned above, men with organic causes of hypogonadism are at risk for fracture and may present at middle age or later with fracture or low BMD. More common and more controversial is the parallel decrease in BMD and serum testosterone levels with aging. While not proven, it is reasonable to assume that as testosterone and muscle mass diminish with age, falls will increase, leading to fractures. The relationship between serum testosterone and BMD is less clear. As previously mentioned, Khosla and colleagues reported (20) that BMD was more strongly related to bioavailable estradiol levels than any measure of testosterone. Of course, in men the major source of estradiol is aromatization of testosterone. The importance of estrogen is illustrated by the impact of iatrogenic hypogonadism. Prostate cancer often responds to androgen withdrawal, and for men with rising PSA levels or other evidence of recurrence or spread, androgen withdrawal may be accomplished by orchiectomy (not done very often today) or by use of analogs of gonadotropin releasing hormone (GnRH).  Some GnRH analogs acutely increase gonadotropins LH and FSH such that an androgen receptor blocker such as bicalutamide or nilutamide is given on a short-term basis until the pituitary is down regulated.  GnRH analog treatment results in serum testosterone levels that are essentially zero and in very low levels of estradiol (the remaining estrogens are presumably from conversion of adrenal androgens). Some men are treated with an androgen blocker alone. In most studies (37) bone loss is much more profound in the men treated with GnRH analogs compared to men treated with only androgen receptor blockers, who have normal estradiol levels. Abiraterone (38) blocks conversion of precursors to androgens and may be used in concert with GnRH analogs.  Prednisone is needed to prevent mineralocorticoid excess due to the enzyme blockage caused by abiraterone. The dose is 5 mg twice daily, a little more than a replacement dose. This potentially adds to the risk that men treated with this combined androgen deprivation therapy (ADT) will have particularly increased fracture risk. However, the most widely cited study (39) of fracture in men on ADT is several years old, done before abiraterone was approved. The important finding from this study was that while ADT given to a man who has a rising PSA level after primary treatment of prostate cancer leads to a 10-year survival rate of 80 to 90%, the 5-year fracture rate was almost 20% in Caucasian men and 2/3 or ¾ of that rate in African-Americans. Thus, the profound hypogonadism of ADT is clearly a major risk for fracture. 

 

This still leaves unanswered whether testosterone given to men with decreased serum testosterone levels associated with aging would benefit from testosterone replacement. There are no studies large enough to show a fracture benefit of such treatment. In a careful study (40) of older men with low serum testosterone levels, testosterone gel or placebo gel was used for one year. At the end of the year, there was a modest increase in BMD by DXA and also by quantitative computed tomography (qCT). More importantly, there was an increase in bone strength by finite element analysis of the qCT data. The Endocrine Society Male Osteoporosis Guideline (41) states that older men at risk for fracture should be treated with osteoporosis-specific medications but those who also have symptomatic hypogonadism can be considered for testosterone replacement. The likely impact of testosterone deficiency on muscle and the bone strength response to testosterone replacement make it plausible that testosterone replacement will lead to fewer fractures. The TRAVERSE study (42) is a large study of testosterone replacement on cardiovascular safety in older hypogonadal men. There was no increase in cardiovascular events in the men treated with testosterone gel (43), nor was there evidence of increased prostate cancer risk or urinary retention (44). Interestingly, there were more fractures in the men receiving testosterone replacement (45). However, the fractures occurred soon after starting replacement, and the majority were ankle and risk fractures (45, 46). This suggested to Grossmann and Anawalt (46) that testosterone-induced changes in behavior may have been the etiology of the fracture increase.

 

SCREENING AND DIAGNOSTIC EVALUATION IN MEN

 

DXA Testing Men

 

From this extensive review of pathogenesis and epidemiology of osteoporosis in men, it is possible to postulate which men should be screened for osteoporosis and how they should be evaluated.  Age is a major risk factor for fracture.  At what age should a man undergo DXA testing and does such testing lead to fewer fractures? The Endocrine Society Guideline (41) suggests DXA testing in most men at age 70 or above. The United States Preventive Services Task Force (47) states that there is insufficient evidence to recommend DXA testing in men, although it supports DXA testing in women by age 65. There are few studies demonstrating that DXA screening in women leads to fewer fractures. The recent SCOOP study (48) from the UK revealed that a two-stage method of choosing women for testing by first calculating FRAX using BMI as a surrogate for femoral neck BMD resulted in fewer hip fractures. In this study, women at low risk for fracture by FRAX were not screened further. Those at high risk were treated, and those in the middle had a DXA. Based on DXA results and recalculation of FRAX with femoral neck DXA results, women at risk were placed on therapy and had fewer fracture than those not screened for osteoporosis. There are no similar prospective studies in men, but Colon-Emeric and colleagues (49) used the Department of Veterans Affairs and Medicare databases to determine the impact of screening men with DXA. Overall, screening did not lead to fewer fractures. However, strategic screening did.  Men aged 80 or older, men on systemic glucocorticoids or ADT, and men with FRAX calculated with BMI (somewhat like the SCOOP study women) had fewer fractures if they were screened by DXA. In addition, men over age 65 with several other risk factors (including rheumatoid arthritis, alcohol or tobacco abuse, chronic obstructive pulmonary disease, chronic liver disease, stroke, Parkinson’s disease, gastrectomy, hyperthyroidism, hyperparathyroidism, or traditional anti-seizure drug use) were also likely to benefit, should they have a DXA done. This study was observational and done with the Department of Veterans Affairs population, which tends to be sicker than the general population and from the population of the prospective study, MrOS. Nonetheless, the findings are compatible with the epidemiology of fractures in men and can serve as a basis for clinical care.  It is unrealistic to expect that a study like SCOOP will be done in men. The SCOOP population was about 12,500 women; a male version would likely need approximately 40,000 participants.  Based on the Colon-Emeric observational study (49) and studies from MrOS (1), Table 2 suggests which older men that should be screened for osteoporosis by DXA.

 

Table 2.  Which Men Should Be Screened (by DXA) for Osteoporosis?

Men > 50 Years Old

After a fragility fracture (usually vertebral in younger group)

On chronic glucocorticoids

Organic causes of hypogonadism

Hypercalciuria

Men > 65 Years Old

All of the above plus:

On androgen deprivation therapy for prostate cancer

High risk for fracture based on FRAX using BMI

Current smoking/COPD

Alcohol abuse/chronic liver disease

Rheumatoid arthritis

Parkinson’s disease or other mobility disorder

Gastrectomy/bariatric surgery

Hyperthyroidism

Hyperparathyroidism

On enzyme-inducing anti-seizure medications for > 2 years

Men > 80 Years Old

If not already screened, all men over 80 should have a DXA (unless there is a contraindication).

    

In the United States, reimbursement for DXA testing is limited. This may be one reason that so few men are assessed for fracture risk. One potential method to identify men at risk for fracture is to assess bone density from CT scans done for other reasons. There are several methods of so-called opportunistic bone density evaluation that have been used (e. g. 50), including a study done in male veterans (51). It is likely that artificial intelligence can be harnessed to make this process even more efficient. Whether finding men at risk this way will lead to more clinical evaluation and treatment and fewer fractures remains to be determined.

 

Beyond DXA: Laboratory Evaluation of Osteoporosis in Men

 

If a man has osteoporosis by DXA or meets other criteria for osteoporosis or has low bone mass (osteopenia) but may be at higher risk for fracture, what other tests should be done? Spine x-rays or vertebral fracture analysis (images of the spine by DXA machines) may reveal vertebral fractures that increase subsequent fracture risk. There are no specific blood tests for osteoporosis, and the evidence base for the tests that follow may be weak. Nonetheless, it makes clinical sense to do a few laboratory tests to look for secondary causes/risk factors for osteoporosis and to ensure the safety of treatment, should it be indicated. Many patients will have had some of these tests as part of their general medical care, so the actual addition to routine testing may be small. For all patients, assessments of serum calcium and phosphate and renal function are necessary to look for hypercalcemia (which might signal hyperparathyroidism) and to determine if some osteoporosis treatments can be safely given.  Avoiding controversies about ideal levels of serum 25-OH vitamin D in the general population, there is consensus that for the patient with osteoporosis, the target level should be 30 ng/ml (52). All of those tests mentioned may help to identify the unusual patient with osteomalacia.  Serum alkaline phosphatase reflects bone formation and turnover, among other things. It is interesting that low serum alkaline phosphatase may be a sign of hypophosphatasia (53), a disorder of variable severity that may present as osteoporosis. Such patients should not be treated with anti-resorptive agents. An automated complete blood count should be done, particularly if there is any suspicion of multiple myeloma because about 75% of such patients will have anemia. All of the above tests, with the exception of 25-OH vitamin D, may be done as routine screening tests in many people visiting primary care clinicians, although measurement of 25-OH vitamin D has become very common as well. Once the 25-OH vitamin D level is at goal, a 24-hour urine for calcium and creatinine (and possibly sodium) may help to signal hypercalciuria, or in in the case of low urinary calcium excretion, may reflect malabsorption. For a patient suspected of hyperparathyroidism or hyperthyroidism, appropriate testing for parathyroid hormone (PTH) or thyroid hormones/TSH should be done. Similarly, for patients in whom there is a suggestion of another secondary cause of osteoporosis, specific tests such as serum protein electrophoresis, celiac antibodies, cortisol, tryptase, etc. can be done.  More controversial is whether serum testosterone should be measured.  Most symptoms of hypogonadism are non-specific, such as fatigue. Decreased libido is considered the most specific symptom, but decreased muscle mass and decreased beard growth might be present.  For the symptomatic man, measurement of early morning testosterone is reasonable. Many experts may suggest measurement of free and bioavailable testosterone as well as gonadotropins. The diagnosis of hypogonadism requires two early morning (preferably fasting) testosterone measurements (54). We would also measure PSA and review the hematocrit and hemoglobin before considering testosterone replacement. In addition, measurement of testosterone should only be done if the clinician would consider testosterone replacement, likely in addition to an osteoporosis-specific treatment. In the Veterans Affairs population, routine laboratory testing was found to reveal new secondary causes and/or osteoporosis risk factors (55). In contrast, in the healthier MrOS cohort, routine testing was found to be less helpful (56).

 

Table 3.  Practical Approach to the Man with Osteoporosis

History and Physical Exam

           Evidence of secondary causes of osteoporosis, risk factors

           Family history

           Height versus maximum attained height

           Gait

           Kyphosis

           General condition of teeth

           Evidence of significant visual abnormalities

           Ability to rise from chair without using hands

           Tenderness to percussion of spine

Standard Laboratory Tests

            Serum Chemistries: Calcium, Phosphate, Alkaline Phosphatase, Albumin

            Measure of Renal Function (e.g. serum creatinine, eGFR)

            Complete blood count

            Serum 25-OH vitamin D

            When 25-OH vitamin D is at goal: 24-hour urine calcium, creatinine, and maybe sodium

Laboratory Tests in Specific Cases (triggered by history and physical exam)

            Thyroid function tests (TSH, Free T4, maybe Total T3)

            Parathyroid hormone (PTH)

            Ionized Calcium

            Total, Free, and Bioavailable Testosterone

            LH, FSH, Prolactin

            CTX or other marker of bone resorption

            Bone Specific Alkaline Phosphatase (or other marker of bone formation)

            Celiac antibodies

            Serum/Urine Protein Electrophoresis

            Magnesium

            Tryptase

            Tests for cortisol excess (e.g. urinary free cortisol, dexamethasone suppression test, midnight salivary cortisol)

Images          

            X-rays of thoracic and lumbar spine

            X-rays of fractured bone

            Pituitary imaging (usually MRI)

 

MANAGEMENT OF OSTEOPOROSIS IN MEN

 

Non-Pharmacologic Management of Osteoporosis

 

One criticism heard about current osteoporosis treatment is that it focuses only on pharmacologic methods. A more comprehensive approach to osteoporosis treatment is preferred. Indeed, there are ways to reduce fracture that do not involve prescription of drugs, and they should be an important part of the therapeutic regimen. While there has been controversy about the role of calcium and vitamin D on fracture risk and on potential side effects, such as cardiovascular events, discussion of these controversies can be found in other chapters. One recent meta-analysis (57) concluded that daily calcium and vitamin D are likely to be salutary for osteoporosis. The widely-cited Institute of Medicine report (58) suggested 1000 to 1200 mg of elemental calcium in the diet and vitamin D intake of 400 to 800 units per day. As stated above, most experts would suggest that a target vitamin D level of 30 ng/ml is reasonable for patients with osteoporosis. From MrOS (1) we learned that the protein content of the diet is also important. A liquid protein supplement might be a good source of calcium and protein for some older men. In my own experience, older men who live alone may have poor diets, and such protein supplements may be an easy way to augment their diet.

 

Fall risk reduction is also very important. In most cases, patients fall first, fracture second.  Thus, attention to eyesight, avoidance of drugs that affect standing blood pressure or cause sleepiness or confusion, and home safety are very important parts of a comprehensive osteoporosis treatment program. Treatment of cataracts, for example, leads to fewer fractures (59). In MrOS (1) use of hypoglycemic agents was associated with increased hip fracture risk.  People with seizure disorders fall; thus, control of epilepsy is important. Avoidance of alcohol, opiates, benzodiazepines, and psychiatric drugs is suggested, but of course some patients may require medications that can cause drowsiness or imbalance. Anti-hypertensive medications need to be titrated such that postural hypotension does not occur. Convincing a man to use a walking aid may be challenging. Night lights, elimination of loose throw rugs and extension cords, and care with pets are also important to avoid falls. Consultation with Occupational Therapy and/or Physical Therapy should be considered in many cases. Exercise prescriptions should aim to improve muscle strength as well as balance. Risk factors for falls are listed in table 4.

 

Table 4. Risk Factors for Falls Adapted From Guidelines of the National Osteoporosis Foundation

Environmental Risk Factors

Lack of assistive devices in bathrooms, loose throw rugs, low level lighting, obstacles in the walking path, slippery outdoor conditions

Medical Risk Factors

Age, anxiety and agitation, arrhythmias, dehydration, depression, female gender, impaired transfer and mobility, malnutrition, orthostatic hypotension, poor vison and use of bifocals, previous fall, reduced mental acuity and diminished cognitive skills, urgent urinary incontinence, Vitamin D insufficiency (serum 25-OH-D < 30ng/ml (75nmol/l)), medications causing over-sedation (narcotic analgesics, anticonvulsants, psychotropics), diabetes

Neurological and Musculoskeletal Risk Factors

Kyphosis, poor balance, reduced proprioception, weak muscles

Other Risk Factors; Fear of falling

The presence of any of these risk factors should trigger consideration of further evaluation and treatment to reduce the risk of falls and fall-related injuries.

Table from the Endotext chapter entitled “Osteoporosis: Clinical Evaluation” by E. Michael Lewiecki.

 

Medications for Osteoporosis in Men

 

The pharmacologic treatment of osteoporosis in men is by and large the same as treatment in women. Alendronate, risedronate, zoledronic acid, denosumab, teriparatide, and abaloparatide are all FDA approved for men with osteoporosis. Most men have been treated with bisphosphonates, similar to women. Alendronate was the first modern bisphosphonate approved by regulatory agencies in the mid-1990’s; it was shown to change surrogates of fracture (BMD and bone turnover markers) in men similarly to women (60). Although fracture risk reduction was not the primary outcome of the study, there were fewer morphometric vertebral fractures in the men randomized to alendronate compared those on placebo.  Similarly, risedronate and zoledronic acid have been shown to increase bone density in men to a similar degree as in women (61, 62). A criticism by some is that current surrogates for fracture may not be adequate, and that raising BMD or suppressing bone turnover markers in men is not enough evidence to conclude that fracture risk will be lowered by bisphosphonates. In a two-year study (63) with morphometric vertebral fractures as the primary outcome, Boonen et al demonstrated that zoledronic acid not only increased BMD in men, compared to placebo infusions, but it also led to fewer vertebral fractures. Specifically, at 2 years there was a 67% relative risk reduction and 3.3% absolute risk reduction in morphometric vertebral fractures. Thus, the clinician can be confident that if the patient is compliant and adherent to bisphosphonate treatment, fracture risk should be decreased.

 

All of the cited studies in men used a male normative database for calculation of the T-score. Men were eligible for the studies if they had osteoporosis by this criterion or had osteopenia (usually a T-score of -2) plus history of a low trauma facture. In women treated with bisphosphonates, vertebral fractures are decreased by about half and hip fractures by a third.  In the zoledronic acid registration trial in women (64), at 2 years the relative risk reduction of morphometric vertebral fractures was 71% and the absolute risk reduction was 5%. Compared to the study in men, at baseline the women were older, were more likely to have had a previous fracture, and had lower BMD.  It is impossible to compare results between the two gender-specific studies in any meaningful way, other than to conclude that zoledronic acid works similarly in men and women. 

 

The usual starting treatment for osteoporosis is oral alendronate 70 mg by mouth once weekly.  As in women, oral alendronate (or most preparations of risedronate) has to be taken on an empty stomach with just a glass of water, and the patient is instructed to take nothing else by mouth for at least 30 minutes. In general, this is not a problem, but for men also taking levothyroxine and/or proton pump inhibitors, timing may be difficult. In patients on levothyroxine, one strategy is to have them take the levothyroxine in the middle of the night, when older men are likely to need to urinate. This does not work for bisphosphonates because lying down after taking the bisphosphonate may lead to esophageal irritation. For the man with gastro-esophageal reflux disease (GERD), avoidance of oral bisphosphonates is indicated if the GERD is not under good control. For such men and for those unable or unwilling to adhere to the correct oral regimen, intravenous zoledronic acid, 5 mg given over 15 minutes or more, is a reasonable choice. The FDA-approved interval for zoledronic acid is one year. In our experience (65, 66), increasing the interval to 1.5 years or so allows all bisphosphonate patients to have a 5-year initial treatment period. Long-term management of osteoporosis in men is discussed below.  An alternative oral treatment is risedronate given as a monthly 150 mg tablet.  For some men, particularly those with a high pill burden, this may be an attractive regimen.

 

As an alternative to bisphosphonates, another anti-resorptive or anti-bone turnover medication is denosumab, an antibody against RANK Ligand. Among the earliest uses of this medication was a study of a high-risk group, men on ADT for prostate cancer. In this important study, Smith and colleagues (67) randomized men receiving GnRH analogs to profoundly suppress testosterone secretion to denosumab or placebo. There were fewer morphometric vertebral fractures in the men who were given denosumab as a subcutaneous injection every 6 months compared to men receiving placebo injections. After a study (68) showing that denosumab altered surrogates for fracture in men similarly to the effect in women, the drug was approved for osteoporosis in men, regardless of etiology. Interestingly, denosumab increases forearm bone density, something not found with bisphosphonate treatment (60). In long term studies of bisphosphonates in women (69, 70) BMD rises and then plateaus after a few years of treatment.  In contrast, studies in women have shown continued increases in BMD for at least 10 years with continued denosumab treatment (71). The consequences of this plus the impact of withdrawal of osteoporosis treatment will be discussed below.

 

As men age, there is thinning of trabeculae, whereas in women there is loss of trabecular number and the spacing between trabeculae increases (72). Thus, while the changes in vertebral fracture risk appear very similar in men and women, the impact on fracture could be different. DXA does not capture all of the changes with time. More recent studies (73) with high resolution peripheral quantitative computed tomography (HR-pQCT) also show sex-specific changes, but the studies are small. To my knowledge, there are no bone biopsy or HR-pQCT studies that demonstrate sex-dependent differences in response to therapy.

 

In women anabolic agents increase trabecular thickness and connectivity and increase cortical bone thickness. Of late, increased use of such agents as the initial treatment has been advocated for those patients at highest risk for fracture based on recent studies in women (74) demonstrating benefits to starting with anabolic treatment. In the United States, only teriparatide and abaloparatide are FDA approved for osteoporosis in men. There is another anabolic agent, romosozumab, that is approved for women, but there is no reason to believe that it would not work in men. There is one published report of improved fracture surrogates in men given romosozumab (75). Abaloparatide works similarly in men and women (76, 77). The use of anabolic agents, regardless of the patient’s sex, is limited by inconvenience of treatment (both teriparatide and abaloparatide are administered as a daily subcutaneous injection) and cost.  While romosozumab is given as a monthly injection in a clinician’s office, its cost in the United States is similar to that of abaloparatide, which is somewhat cheaper than teriparatide. In Japanese women, a higher dose of teriparatide given weekly or semi-weekly has been found to be effective (78), but there have been no studies of similar preparations in Europe or the United States. Based on studies in women, anabolic agents should be considered, including off-label use, for men at the highest risk of fracture. In a 3-year study (79) of men and women with glucocorticoid-induced osteoporosis, teriparatide was shown to result in fewer spine fractures than alendronate. More recently, a study in women (80) showed that anabolic treatment led to fewer fractures than anti-resorptive treatment with risedronate. Until there are better surrogates for fracture, there will never be a study comparing fracture risk in men treated with anabolic agents compared to anti-resorptives. The data from studies in women are convincing, and there is no physiological reason to question whether men would respond differently. A recent systematic review and meta-analysis of randomized controlled trials (81) led to the conclusion that osteoporosis drugs work the same in men and women.

 

In summary, initial treatment of osteoporosis in men should be comprehensive, with attention to diet, exercise, vitamin D, fall risk reduction, and home safety. After vitamin D is satisfactory, and possibly after dental work is completed, most men can be treated with bisphosphonates, usually oral alendronate. For those who cannot take an oral preparation, intravenous zoledronic acid is the drug of choice. For men at the highest risk for fracture, based on fracture history, DXA, risk factors, and risk calculators, a 1 to 2-year course of anabolic treatment should be considered, although teriparatide and abaloparatide can be prescribed for more than 2 years, if needed. For very high-risk patients, the anabolic therapy can be followed by 2 years of denosumab treatment, followed by consolidation with a bisphosphonate. For those men with CKD 4, denosumab is a good choice but must be continued indefinitely. Denosumab is also appealing for men on ADT who receive long-acting GnRH analogs every 6 months because they can receive denosumab at the same visit. However, there are rapid bone loss and potential vertebral fractures in women who have recently withdrawn from denosumab (82, 83). In one observational study in men (84) zoledronic acid prevented the loss of bone after men had discontinuation of denosumab.

 

Long-Term Management of Osteoporosis in Men

 

There are no long-term studies of osteoporosis treatment in men. Hence, all suggestions for management must be made from the few studies in women. The FLEX trial (69) showed that 10 years of alendronate in women led to fewer clinical vertebral fractures than 5 years of alendronate followed by 5 years of placebo tablets. The HORIZON extension trial (70) showed that a plan of 6 annual infusions of zoledronic acid was associated with fewer morphometric vertebral fractures than 3 annual infusions of zoledronic acid followed by 3 placebo infusions.  Based on these studies plus some other information, a task force of the American Society for Bone and Mineral Research recommended an approach to long-term osteoporosis management (85). While the approach was aimed mostly at postmenopausal women, the task force recommended that it be applied to men as well. In this approach, the initial treatment period is 5 years for oral bisphosphonates and 3 years for zoledronic acid. At the end of the initial treatment period, the patient is re-assessed by history, physical examination, and repeat BMD. Those patients remaining at elevated fracture risk should continue treatment and be re-assessed again in 2 to 3 years. Those patients whose fracture risk has been demonstrably decreased by treatment can interrupt therapy and be re-assessed at 2 to 3 years. Beyond 10 years of treatment there are no studies, and so clinical judgement will be necessary to manage such patients. I have proposed, based on studies in women (86, 87) and men (65), that the interval between zoledronic acid infusions can be lengthened such that each patient would receive 3 infusions of zoledronic acid over 5 years. This creates a 5-year initial treatment plan for the majority of people with osteoporosis: all but those at highest risk for fracture. For the latter group, initial therapy should be anabolic for the first 1 to 2 years, and then the patient would be placed on anti-resorptive agents. While this approach to long-term osteoporosis management makes sense, it will likely never be supported by large randomized trials.

 

A summary of a practical approach to the evaluation of osteoporosis in men is shown in Table 5.

 

Table 5.  Approach to Osteoporosis Treatment in Men

For All Men: Conservative Treatment

Fall risk reduction/home safety

Adequate calcium, vitamin D, dietary protein

Weight bearing exercise/balance training

Smoking cessation/minimization of alcohol intake

Treat Secondary Osteoporosis with Specific Therapy

Men with Borderline Fracture Risk

Conservative treatment

Repeat DXA in 2 to 3 years

Use FRAX to demonstrate low risk

Osteoporosis by DXA, Osteopenia + Fracture, High Risk by FRAX

Oral alendronate or risedronate or intravenous zoledronic acid

Clinical reassessment every year

Repeat DXA at 2 to 3 years

Change Rx if response inadequate

Repeat DXA at 5 years to consider drug holiday versus continued Rx

Very High Risk by DXA, FRAX, Clinical Findings

Anabolic Rx for 1 to 2 years

Then denosumab for 2 years

Then 1 year of alendronate or 1 infusion of zoledronic acid

DXA at 2 to 3 and 5 years

Drug holiday versus continued treatment based on fracture risk after treatment

.

CONCLUSIONS

 

Despite the overall paucity of evidence underpinning osteoporosis evaluation and treatment in men, it is important to identify men at risk for fracture, evaluate them efficiently, and treat them.  As more men live long enough to fracture, the burden of male osteoporosis will increase. In addition, because men with hip fracture are more likely to die after fracture (88), compared to women of the same age, improving diagnosis and treatment is likely to save lives, decrease suffering, and lead to lower costs.     

 

REFERENCES

 

  1. Cauley JA, Cawthon PM, Peters KE, Cummings SR, Bauer DC, Taylor BC, Shikany JM, Hoffman AR, Lane NE, Kado DM. Stefanick ML, Orwoll ES. Osteoporotic Fractures in Men (MrOS) Study Group. Risk factors for hip fracture in older men: The Osteoporotic Fractures in Men Study (MrOS). J Bone Miner Res 2016;31:1810-1819.
  2. NIH Consensus Development Panel on Osteoporosis Prevention, Diagnosis, and Therapy. Osteoporosis prevention, diagnosis, and therapy. JAMA 2001;285:785-795.
  3. Kanis JA. Diagnosis of osteoporosis and assessment of fracture risk. Lancet 2002;359:1929-1936.
  4. Schousboe JT, Tanner SB, Leslie WD. Definition of osteoporosis by bone density criteria in men: effect of using female instead of male young reference data depends on skeletal site and densitometer manufacturer. J Clin Densitom 2014;17:310-316.
  5. Pasco JA, Lane SE, Brennan SL, Tinney EN, Bucki-Smith G, Dobbins AG, Nicholson GC, Kotowicz MA. Fracture risk among older men: osteopenia and osteoporosis defined by cut-points derived from female versus male reference data. Osteoporos Int 2014;25:857-862.
  6. Trajanoska K, Schoufour JD, de Jonge EA, Kieboom BCT, Mulder M, Stricker BH, Voortman T, Uitterlinden AG, Oei EH, Ikram MA, Zillikens MC, Rivadeneira F, Oei L. Fracture incidence and secular trends between 1989 and 2013 in a population based cohort: the Rotterdam Study. Bone 2018;114:116-124.
  7. Kanis JA, Harvey NC, Johansson H, Oden A, Leslie WD, McCloskey EV. FRAX Update. J Clin Densitom 2017;20:360-367.
  8. Sandhu SK, Nguyen ND, Center JR, Pocock NA, Eisman JA, Nguyen TV. Prognosis of fracture: evaluation of predictive accuracy of the FRAX algorithm and Garvan nomogram. Osteoporos Int 2010;21:863-871.
  9. Ahmed LA, Nguyen ND, Bjornerem A, Joakimsen RM, Jorgensen L, Stormer J, Bliuc D, Center JR, Eisman JA, Nguyen TV, Emaus N. External validation of the Garvan nomogram for predicting absolute fracture risk: the Tromso study. PLoS One 2014;9:e107695.
  10. Looker AC, Sarafrazi Isfahani N, Fan B, Shepherd JA. FRAX-based estimates of 10-year probability of hip and major osteoporotic fracture among adults aged 40 and over: United States, 2013 and 2014. Natl Health Stat Report. 2017;103:1-16.
  11. Toteston AN, Melton LJ 3rd, Dawson-Hughes B, Baim S, Favus MJ, Khosla S, Lindsay RL. Cost-effective osteoporosis treatment thresholds: the United States perspective Osteopors Int 2008;19:437-447.
  12. Wright NC, Saag KG, Dawson-Hughes B, Khosla S, Siris ES. The impact of the new National Bone Health Alliance (NBHA) diagnostic criteria on the prevalence of osteoporosis in the USA. Osteoporos Int 2017;31:1753-1759.
  13. McCloskey EV, Johansson H, Oden A, Vasireddy S, Kayan K, Pande K, JalavaT, Kanis JA. Ten-year fracture probability identifies women who will benefit from clodronate therapy-additional results from a double-blind, placebo controlled randomized study. Ostoeporos Int 2009;20:811-817.
  14. Ensrud KE, Taylor BC, Peters KW, Gourlay ML, Donaldson MG, Leslie WD, Blackwell TL, Fink HA, Orwoll ES, Schousboe J. Implications of expanding indications for drug treatment to prevent fracture in older men in the United States: cross sectional and longitudinal analysis of a prospective cohort study. BMJ 2014;349:g1420.
  15. Schini M, Johansson H, Harvey NC, Lorentzon M, Kanis JA, McCloskey EV. An overview of the use of the fracture risk assessment tool (FRAX) in osteoporosis. J Endocrinol Invest 2023 Oct 24. Doi: 10.1007/s40618-023-02219-9.
  16. Shevroja E, Reginster J-Y, Lamy L, Al-Daghri N, Chandran M, Demoux-Balada A-L, Kohlmeier L, Lecart M-P, Messina D, Camargos BM, Payer J, Tuzun S, Veronese N, Cooper C, McCloskey EV, Harvey NC. Update on the clinical use of the trabecular bone score (TBS) in the management of osteoporosis: results of an expert group meeting organized by the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO), and the International Osteoporosis Foundation (IOF) under the auspices of WHO Collaborating Center for Epidemiology of Musculoskeletal Health and Aging. Osteoporos Int 2023;34:1501-1529.
  17. Schousboe JT, Vo TN, Langsetmo L, Taylor BC, Kats AM, Schwartz AV, Bauer DC, Cauley JA, Ensrud KE, for the Osteoporotic Fractures in Men (MrOS) Study Research Group. Predictors of change in trabecular bone score (TBS) in older men: results from the Osteoporotic Fractures in Men (MrOS) Study. Osteoporos Int 2018;29:49-59.
  18. Schuitt SC, van der Klift M, Weel AE, de Laet CE, Burger H, Seeman E, Hofman A, Uitterlinden AG, ven Leeuwen JP, Pols HA. Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam Study. Bone 2004;34:195-202.
  19. Harman SM, Metter EJ, Tobin JD, Pearson J, Blackman MR. Longitudinal effects of aging on serum total and free testosterone levels in healthy men. J Clin Endocrinol Metab 2001;86:724-731.
  20. Khosla S, Melton LJ 3rd, Atkinson EJ, O’Fallon WM. Relationship of serum sex steroid levels to longitudinal changes in bone density in young versus elderly men. J Clin Endocrinol Metab 2001;86:3555-3561.
  21. Riggs BL, Melton LJ 3rd. Involutional osteoporosis. N Engl J Med 1986;314:1676-1686.
  22. Ryan LE, Ing SW. Hypercalciuria and bone health. Curr Osteoporos Rep 2012;10:286-295.
  23. Rosen CJ, Kurland ES, Vereault D, Adler RA, Rackoff PJ, Craig WY, Witte S, Rogers J, Bilezikian JP. An association between serum IGF-I and a simple sequence repeat in the IGF-I gene: implications for genetic studies of bone mineral density. J Clin Endocrinol Metab 1998;83:2286-2290.
  24. van Pottelbergh L, Goemaere S, Zmierczak H, Kaufman JM. Perturbed sex steroid status in men with idiopathic osteoporosis and their sons. J Clin Endocrinol Metab 2004;89:4949-4953.
  25. Yang S, Leslie WD, Yan L, Walld R, Roos KKm Morin SN, Majumdar SR, Lix LM. Objectively verified parental hip fracture is an independent risk factor for fracture: a linkage analysis of 478,792 parents and 261,705 offspring. J Bone Miner Res 2016;31:1753-1759.
  26. Cawthon PM, Shahnazari M, Orwoll ES, Lane NE. Osteoporosis in men: findings from the osteoporotic fractures in men study (MrOS). Ther Adv Musculoskel Dis 2016;8:15-27.
  27. van Staa TP, Leufkens HG, Abenhaim L, Zhang B, Cooper C. Oral corticosteroids and fracture risk: relationship to daily and cumulative doses. Rheumatology (Oxford) 2000;39:1383-1389.
  28. Waljee AK, Rogers MA, Lin P, Singal AG, Stein JD, Marks RM, Ayanian JZ, Nallamothu BK. Short term use of oral corticosteroids and related harms among adults in the United States: population based cohort study. BMJ 2017;357:j1415.
  29. Adler RA, Hochberg MC. Glucocorticoid-induced osteoporosis in men. J Endocrinol Investig 2011;34:481-484.
  30. Compston J. Type 2 diabetes mellitus and bone. J Intern Med 2018;283:140-153.
  31. Akhigbe T, Chin AS, Svircev JN, Hoenig H, Burns SP, Weaver FM, Bailey L, Carbone L. A retrospective review of lower extremity fracture care in patients with spinal cord injury. J Spinal Cord Med 2015;38:2-9.
  32. Starup-Linde J, Rosendahl SB, Storgaard M, Langdahl B. Management of osteoporosis in patients living with HIG – A systematic review and meta-analysis. J Acquir Immune Defic Syndr 2020;83:1-8.
  33. Goh SSL. Lai PSM, Tan ATB, Ponnampalavanar S. Reduced bone mineral density in human immunodeficiency virus-infected individuals: a meta-analysis of its prevalence and risk factors. Osteoporos Int 2018;29:595-613.
  34. Hoy JF, Grund B, Roedigner M, Schwartz AV, Shepherd J, Avihingsanon A, Badal-Faesen S, de Wit S, Jacoby S, La Rosa A, Pujari S, Schechter M, White D Engen NW, Ensrud K, Aagaard PD, Carr A, INSIGHT START Bone Mineral Density Substudy Group. Immediate initiation of antiretroviral therapy for HIV infection accelerates bone loss relative to deferring therapy: findings from the START Bone Mineral Density Substudy, a randomized trial. J Bone Miner Res 2017;32:1945-1955.
  35. Gupta SK, Post FA, Arrivas JR, Eron jr JJ, Wohl DA, Clarke AE, Sax PE, Stellbrink H-J, Esser S, Pozniak AL, Podzamczer D, Waters L. Orkin C, Rockstroh JK, Mudrikova T, Negredo E, Elion RA, Guo S, Zhong L, Carter C, Martin H, Brainard D, SenGupta D, Das M. Renal safety of tenofovir alafenamide vs tenofovir disoproxil fumarate: a pooled analysis of 26 clinical trials. AIDS 2019;33:1455-1465.
  36. de Rocha VM, Faria MBB, de Assis dos Reis Jr F, Lima COGX, Fiorelli RKA, Cassiano KM. Use of bisphosphonates, calcium and vitamin D for bone demineralization in patients with human immunodeficiency virus/acquired immune deficiency syndrome: a systematic review and meta-analysis of clinical trials. J Bone Metab 2020;27:175-186.
  37. Smith MR, Goode M, Zietman AL, McGovern FJ, Lee H, Finkelstein JS. Bicalutamide monotherapy versus leuprolide monotherapy for prostate cancer: effects on bone mineral density and body composition. J Clin Oncol 2004;22:2546-2553.
  38. Dalla Volta A, Formenti AM, Berruti A. Higher risk of fragility fractures in prostate cancer patients treated with combined Radium-223 and abiraterone: prednisone may be the culprit. Eur Urol 2019;75:894-896.
  39. Shahinian VB, Kuo YF, Freeman JL, Goodwin JS. Risk of fracture after androgen deprivation for prostate cancer. N Engl J Med 2005;352:154-164.
  40. Snyder PJ, Kopperdahl DL, Stephens-Shields AJ, Ellenberg SS, Cauley JA, Ensrud KE, Lewis CE, Barrett-Connor E, Schwartz AV, Lee DC, Bhasin S, Cunningham GR, Gill TM, Matsumoto AM, Swerdloff RS, Basaria S, Diem SJ, Wang C, Hou X, Cifelli D, Dougar D, Zeldow B, Bauer DC, Keaveny TM. Effect of testosterone treatment on volumetric bone density and strength in older men with low testosterone: a controlled clinical trial. JAMA Intern Med 2017;177:471-479.
  41. Watts NB, Adler RA, Bilezikian JP, Drake MT, Eastell R, Orwoll ES, Finkelstein JS. Osteoporosis in men: an Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab 2012;97:1802-1822.
  42. gov Identifier: NCT03518034.
  43. Lincoff AM, Bhasin S, Flevaris P, Mitchell LM, Basaria S. Boden WE, Cunningham GR, Granger CB, Khera M, Thompson IM, Wang Q, Wolski K, Davey D, Kalahasti V, Khan N, Miller MG, Snabes MC, Chan A, Dubenco E, Li X, Yi T, Huang KM, Travison TG, Nissen SE, for the TRAVERSE Study Investigators. Cardiovascular safety of testosterone-replacement therapy. N Engl J Med 2023;389:107-117.
  44. Bhasin S, Travison TG, Pencina KM, O’Leary M, Cunningham GR, Lincoff AM, Nissen SE, Lucia S, Preston MA, Khera M, Khan M, Snabes MC, Li X, Tangen CM, Buhr KA, Thompson Jr, IM. Prostate safety eventst during testosterone replacement therapy in men with hypogonadism; a randomized clinical trial. JAMA Network Open 2023;6:e2348692.
  45. Snyder PJ, Bauer DC, Ellenberg SS, Cauley JA, Buhr KA, Bhasin S, Miller MG, Khan NS, Ki X, Nissen SE. Testosterone treatment and fractures in men with hypogonadism. N Engl J Med 2024;390:203-211.
  46. Grossmann M, Anawalt BD. Breaking news- testosterone treatment and fractures in older men. N Engl J Med 2024;390:268-269.
  47. US Preventive Services Task Force. Screening for osteoporosis to prevent fractures. US Preventive Services Task Force Recommendation Statement. JAMA 2018;319:2521-2531.
  48. Shepstone L, Lenaghan E, Cooper C, Clarke S, Fong-Soe-Khloe R, Fordham R, Gittoes N, Harvey I, Harvey N, Heawood A, Holland R, Howe A, Kanis J, Marshall T, O’Neill T, Peters T, Redmond N, Torgerson D, Turner D, McCloskey E, SCOOP Study Team. Screening in the community to reduce fractures in older women (SCOOP): a randomized controlled trial. Lance 2018;391:741-747.
  49. Colon-Emeric CS, Pieper CF, Van Houtven CH, Grubber JM, Lyles KW, LaFleur J, Adler RA. Limited osteoporosis screening effectiveness due to low treatment rates in a national sample of older men. Mayo Clin Proc 2018;93:1749-1759.
  50. Gruenewald LD, Koch V, Yel I, Eichler K, Gruber-Rouh T, Alizadeh LS, Mahmoudi S, D’Angelo T, Wichmann JL, Wesarg S. Vogl TJ, Booz C. Association of phantomless dual-energy CT-based volumetric bone mineral density with prevalence of acute insufficiency fractures of the spine. Acad Radiol 2023;30:2110-2117.
  51. Teng PF, Chiang JM, Schafer AL, Sukerkar PA, Keaveny TM, Bikle D. Prevalence of osteoporosis in older male veterans receiving hip-containing computed tomography scans: opportunistic use of biomechanical computed tomography analysis (BCT). Osteoporos Int 2023;34:551-561.
  52. El-Hajj Fuleihan G, Bouillon R, Clarke B, Chakhtoura M, Cooper C, McClung M, Singh RJ. Serum 25-hydroxyvitamin D levels: variability, knowledge gaps, and the concept of a desirable range. J Bone Miner Res 2015;30:1119-1133.
  53. Shapiro JR, Lewiecki EM. Hypophosphatasia in adults: clinical assessment and treatment considerations. J Bone Miner Res 2017;32:1977-1980.
  54. Bhasin S, Brito JP, Cunningham GR, Hayes FJ, Hodis HN, Matsumoto AM, Snyder PJ, Swerdloff RS, Wu FC, Yialamas MA. Testosterone therapy in men with hypogonadism: an Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab 2018;103:1715-1744.
  55. Ryan CS, Petkov VI, Adler RA. Osteoporosis in men: the value of laboratory testing. Ostoporos Int 2011;22:1845-1853.
  56. Fink HA, Litwack-Harrison S, Tayulor BC, Bauer DC, Orwoll ES, Lee CG, Barrett-Connor E, Schousboe JT, Kado DM, Garimella PS, Ensrud KE, Osteoporosis Fractures in Men (MrOS) Study Group. Clinical utility of routine laboratory testing to identify possible secondary causes in older men with osteoporosis: the Osteoporotic Fractures in Men (MrOS) Study. Osteoporos Int 27:331-338, 2016.
  57. Weaver CM, Alexander DD, Boushy CJ, Dawson-Hughes B, Lappe JM, LeBoff MS, Liu S, Looker AC, Wallace TC, Wang DD. Calcium plus vitamin D supplementation and risk of fractures: an updated meta-analysis from the National Osteoporosis Foundation. Osteoporos Int 2016;27:367-376.
  58. Ross AC, Manson JE, Abrams SA, Aloia JF, Brannon PM, Clifton SK, Durazo-Arvizu RA, Gallagher JC, Gallo RL, Jones G, Kovacs CS, Mayne ST, Rosen CJ, Shapses SA. The 2011 report on dietary reference intakes for calcium and vitamin D from the Institute of Medicine: what clinicians need to know. J Clin Endocrinol Metab 2011;96:53-58.
  59. Tseng VL, Yu F, Lum F, Coleman AL. Risk of fractures following cataract surgery in Medicare beneficiaries. JAMA 2012;308:493-501.
  60. Orwoll E, Ettinger M, Weiss S, Miller P, Kendler D, Graham J, Adami S, Weber K, Lorenc R, Pietschmann P, Vandormael K, Lombardi A. Alendronate for the treatment of osteoporosis in men. N Engl J Med 2000;343:604-610.
  61. Ringe JD, Faber H, Farahmand P, Dorst A. Efficacy of risedronate in men with primary and secondary osteoporosis: results of a 1-year study. Rheumatol Int 2006;26:427-431.
  62. Orwoll ES, Miller PD, Adachi JD, Brown J, Adler RA, Kendler D, Bucci-Rechtweg C, Readie A, Mesenbrink P, Weinstein RS. Efficacy and safety of a once-yearly i.v. infusion of zoledronic acid 5 mg versus a once-weekly 70-mg oral alendronate in the treatment of male osteoporosis: a randomized, multicenter, double-blind, active-controlled trial. J Bone Miner Res 2010;25:2239-2250.
  63. Boonen S, Reginster JY, Kaufman JM, Lippuner K, Zanchetta J, Langdahl B, Rizzoli R, Lipschitz S, Dimai HP, Witvrouw R, Eriksen E, Brixen K, Russo L, Claessens F, Papanastasiou P, Antunez O, Su G, Bucci-Rechtweg C, Hruska J, Incera E, Vanderschueren D, Orwoll E. Fracture risk and zoledronic acid therapy in men with osteoporosis. N Engl J Med 2012;367:1714-1723.
  64. Black DM, Delmas PD, Eastell R, Reid IR, Boonen S, Cauley JA, Cosman F, Lakatos P, Leung PC, Man Z, Mautalen C, Messenbrink P, Hu H, Caminis J, Tong K, Rosario-Jansen T, Krasnow J, Hue TF, Sellmeyer D, Eriksen EF, Cummings SR, HORIZON Pivotal Fracture Trial. Once yearly zoledronic acid for treatment of postmenopausal osteoporosis. N Engl J Med 2007;356:1809-1822.
  65. Johnson DA, Williams MI, Petkov VI, Adler RA. Zoledronic acid treatment of osteoporosis: effects in men. Endocr Pract 2010;16:960-967.
  66. Adler RA. Duration of anti-resorptive therapy for osteoporosis. Endocrine 2016;51:222-224.
  67. Smith MR, Egerdie B, Hernandez Toriz N, Feldman R, Tammela TTL, Saad F, Heracek J, Szwedowski M, Ke C, Kupiec A, Leder BZ, Goessi C, Denosumab HALT Prostate Cancer Study Group. Denosumab in men receiving androgen-deprivation therapy for prostate cancer. N Engl J Med 2009;361:745-755.
  68. Langdahl B, Teglbjaerg CS, Ho PR, Chapurlat R, Czerwinski E, Kendler DL, Reginster JY, Kivitz A, Lewiecki EM, Miller PD, Bolognese MA, McClung MR, Bone HG, Ljinggren O, Abrahmsen B, Gruntmanis U, Yang YC, Wagman RB, Mirza F, Siddhanti S, Orwoll E. A 24-month study evaluating the efficacy and safety of denosumab for the treatment of men with low bone mineral density: results from the ADAMO trial. J Clin Endocrinol Metab 2015;100:1335-1342.
  69. Black DM, Schwartz AW, Ensrud KE, Cauley JA, Levis S, Quandi SA, Satterfield S, Wallace RB, Bauer DC, Palermo L, Wehren LE, Lombardi A, Santora A, Cummings SR, FLEX Research Group. Effects of continuing or stopping alendronate after 5 years of treatment: the Fracture Intervention Trial Long-term Extension (FLEX): a randomized trails. JAMA 2006;296:2927-2938.
  70. Black DM, Reid IR, Boonen S, Bucci-Rechtweg C, Cauley JA, Cosman F, Cummings SR, Hue TF, Lippuner K, Lakatos P, Leung PC, Man Z, Martinez RI, Tan M, Ruzycky ME, Su G, Eastell R. The effect of 3 versus 6 years of zoledronic acid treatment of osteoporosis: a randomized extension to the HORIZON-Pivotal Fracture Trial (PFT). J Bone Miner Res 2012;27:243-254.
  71. Bone HG, Wagman RB, Brandi ML, Brown JP, Chapurlat R, Cummings SR, Czerwinski E, Fahrleitner-Pammer A, Kendler DL, Lippuner K, Reginster JY, Roux C, Malouf J, Bradley MN, Daizadeh NS, Wang A, Dakin P, Pannacciulli N, Dempster DW, Papapoulos S. 10 years of denosumab treatment in postmenopausal women with osteoporosis: results from the phase 3 randomized FREEDOM trial and open-label extension. Lancet Diabetes Endocrinol 2017;5:513-523.
  72. Khosla S, Riggs BL, Atkinson EJ, Oberg AL, McDaniel LJ, Holets M, Peterson JM , Melton LJ 3rd. Effects of sex and age on bone microstructure at the ultradistal radius: a population-based noninvasive in vivo assessment. J Bone Miner Res 2006;21:124-131.
  73. Cheung AM, Adachi JD, Hanley DA, Kendler DL, Davison KS, Josse R, Brown JP, Ste-Marie L-G, Kremer R, Erlandson MC, Dian L, Burghardt AJ, Boyd SK. High-resolution peripheral quantitative computed tomography for the assessment of bone strength and structure: a review by the Canadian Bone Strength Working Group. Curr Osteoporos Rep 2013;11:136-146.
  74. Leder BZ, Tsai JN, Uihlein AV, Wallace PM, Lee II, Neer RM, Burnett-Bowie SA. Denosumab and teriparatide transitions in postmenopausal osteoporosis (the DATA-Switch study): extension of a randomized, controlled trial. Lancet 2015;386:1147-1155.
  75. Lewiecki EM, Blicharski T, Goemaere S, Lippuner K, Meisner PD, Miller PD, Miyauchi A, Maddox J, Chen L, Horlait S. A phase III randomized placebo-controlled trial to evaluate efficacy and safety of romosozumab in men with osteoporosis. J Clin Endocrinol Metab 2018;103:3183-3193.
  76. Czerwinski E, Cardona J, Piebanski R, Recknor C, Vokes T, Saag KG, Binkley N, Lewiecki EM, Adachi J, Knychas D, Kendler D, Orwoll E, Chen Y, Pearman L, Li YH, Mitlak B. The efficacy and safety of abaloparatide-sc in men with osteoporosis: a randomized clinical trial. J Bone Miner Res 2022;37:2435-2442.
  77. Dhaliwal R, Kendler D, Saag K, Ing SW, Singer A, Adler RA, Pearman L, Wang Y, Mitlak B. Response rates for lumbar spine, total hip, and femoral neck bone mineral density in men treated with abaloparatide: results from the ATOM Study. JBMRPlus 2024; doi/10.1093/jbmrpl/ziae009.
  78. Sugimoto T, Shiraki M, Fukunaga M, Kishimoto H, Hagino H, Sone T, Nakano T, Ito M, Yoshikawa H, Minamida T, Tsuruya Y, Nakamura T. Study of twice-weekly injections of teriparatide by comparing efficacy with once-weekly injections in osteoporosis patients: the TWICE Study. Osteoporos Int 2019;30:2321-2331.
  79. Saag KG, Zanchetta JR, Devogelaer JP, Adler RA, Eastell R, See K, Kresge JH, Krohn K, Warner MR. Effects of teriparatide versus alendronate for treating glucocorticoid-induced osteoporosis: thirty-six-month results. Arthritis Rheum 2009:60:3346-3355.
  80. Kendler DL, Marin F, Zerbini CAF, Russo LA, Greenspan SL, Zikan V, Bagur A, Malouf-Sierra J, Lakatos P, Fahrleitner-Panner A, Lespessailles E, Minisola S, Body JJ, Geusens P, Moricke R, Lopez-Romero P. Effects of teriparatide and risedronate on new fractures in post-menopausal women with severe osteoporosis (VERO): a multicenter, double-blind, double-dummy, randomized controlled trial. Lancet 2018;391:230-240.
  81. Beaudart C, Demonceau C, Sabico S, Veronese N, Cooper C, Harvey N, Fuggle N, Bruyere O, Rizzoli R, Reginster J-Y. Efficacy of osteoporosis pharmacologic treatments in men: a systematic review and meta-analysis. Aging Clin Exper Res 2023;35:1789-1806.
  82. Anastasilakis AD, Polyzos SA, Makras P, Aubry-Rozier B, Kaouri S, Lamy O. Clinical features of 24 patients with rebound-associated vertebral fractures after denosumab discontinuation: systematic review and additional cases. J Bone Miner Res 2017;32:1291-1296.
  83. Kendler D, Chines A, Clark P, Ebeling PR, McClung M, Rhee Y, Huang S, Stad RK. Bone mineral density after transitioning from denosumab to alendronate. J Clin Endocrinol Metab 2020;105:e355-264.
  84. Solling AS, Harslof T, Brockstedt HK, Langdahl B. Discontinuation of denosumab in men with prostate cancer. Osteoporos Int 2023;34:291-297.
  85. Adler RA, El-Hajj Fuleihan G, Bauer DC, Camacho PM, Clarke BL, Clines GA, Compston JE, Drake MT, Edwards BJ, Favus MJ, Greenspan SL, McKinney R Jr., Pignolo RJ, Sellmeyer DE. Managing osteoporosis in patients on long-term bisphosphonate treatment: report of a task force of the American Society for Bone and Mineral Research. J Bone Miner Res 2016;31:16-35.
  86. Grey A, Bolland M, Wattie D, Horne A, Gamble G, Reid IR. Prolonged antiresorptive activity of zoledronate: a randomized, controlled trial. J Bone Miner Res 2010;25:2251-2255.
  87. Reid IR, Horne AM, Mihov B, Stewart A, Garratt E, Wong S, Wiessing KR, Bolland MJ, Bastin S, Gamble GD. Fracture prevention with zoledronate in older women with osteopenia. N Engl J Med 2018;379:2407-2416.
  88. Bass E, French DD, Bradham DD, Rubenstein LZ. Risk-adjusted mortality rates of elderly veterans with hip fractures. Ann Epidemiol 2007;17:514-519.

Cushing Syndrome/Disease in Children and Adolescents

ABSTRACT

 

Endogenous Cushing syndrome (CS) is a rare pediatric endocrine condition commonly caused by pituitary corticotroph tumors or less often by adrenal or ectopic sources. The typical presentation of the child with CS includes weight gain with height deceleration, characteristic skin findings, and hormonal and biochemical findings indicative of excessive glucocorticoid production. The diagnostic evaluation of the patient with suspected hypercortisolemia initially involves the confirmation of cortisol excess in blood and/or urine, and then the identification of source. The first line of management usually requires surgical treatment of a pituitary or adrenal lesion. In persistent or recurrent disease, re-operation, medical treatment, or radiation should be considered.

 

INTRODUCTION

 

Cushing syndrome (CS) describes the exposure of the body to supraphysiologic levels of glucocorticoids. Although exogenous (iatrogenic) CS is common, endogenous pediatric CS, is a rare pediatric endocrine condition. Population studies of the incidence of the disease have shown that endogenous CS occurs in about 3-50 cases per million people per year, depending on the population studied; pediatric patients in these studies represent 6-7% of all cases (1-3).  

 

ETIOLOGY

 

Endogenous CS can be classified as ACTH-dependent (pituitary or ectopic) or ACTH-independent CS (adrenal-related, Table 1) (4). The etiology of pediatric CS differs based on the age group of the patient (5). In patients younger than 5 years of age, ACTH-independent CS is more common compared to older children and adolescents who usually present with ACTH-dependent CS. Ectopic CS (ECS) is rare at any age group (5).

 

Table 1. Causes of Cushing Syndrome

Type

Source

 Mechanism

Exogenous

 

Iatrogenic

 Exogenous administration of supraphysiologic doses of glucocorticoids or ACTH

Endogenous

 

ACTH-dependent

Pituitary

Corticotroph pituitary neuroendocrine tumor

Pituitary blastoma

Ectopic

 Neuroendocrine tumors secreting ACTH and/or CRH

 

 

 ACTH-independent

Unilateral adrenal (except in metastatic disease)

 Cortisol-secreting adrenocortical adenomas and carcinomas

Bilateral adrenals

Bilateral micronodular adrenocortical disease

-       Primary pigmented nodular adrenocortical disease (PPNAD), isolated or in the context of Carney complex

-       Isolated micronodular adrenocortical disease (iMAD)

Bilateral macronodular adrenocortical disease

 

ACTH-Dependent Cushing Syndrome

 

ACTH-dependent CS is most commonly due to a corticotroph pituitary neuroendocrine tumor (PitNET, also called pituitary adenoma or Cushing disease, (CD). These are monoclonal lesions that continue to express some of the characteristics of the normal corticotroph cell which can be useful in the diagnostic evaluation of patients (6, 7). Corticotroph-secreting PitNETs are usually microadenomas with median diameter of 5mm and do not often show signs of invasion to the cavernous sinus or other parasellar structures (8). Rare cases of aggressive PitNETs have been reported in the pediatric population with either resistance to treatment or distant metastasis (metastatic PitNETs) (9). These are associated with specific histologic subtypes, such as Crooke cell adenomas (9).

 

Infantile onset of ACTH-dependent CS with a pituitary lesion is often due to a pituitary blastoma. In 2014 de Kock et al, collected tissues from several infants who had been diagnosed with very young onset CD and reported that the tumors were consistent with pituitary blastomas as they had histologic findings of undifferentiated epithelium Rathke-like cells, mixed with hormone producing cells (10). They were able to identify germline and/or somatic DICER1 gene defects in these patients, suggesting that pituitary blastoma is a rare but almost pathognomonic presentation of DICER1 syndrome (10).

 

ECS is due to neuroendocrine tumors secreting ACTH and/or CRH outside the hypothalamic-pituitary axis. In older children and adolescents, the most common source of ECS are bronchial carcinoids, thymic carcinoids, and gastro-entero-pancreatic NETs (11-13). By contrast, in children younger than 5-10 years of age, ECS often presents in the context of pediatric specific tumors such as Wilm’s tumors, neuroblastomas, and others (13, 14).

 

ACTH-Independent Cushing Syndrome

 

ACTH-independent CS is commonly caused by unilateral adrenocortical tumors, cortisol-producing adenomas or carcinomas (5). Cortisol-producing adenomas are benign lesions with isolated cortisol secretion, while adrenocortical carcinomas are aggressive tumors and may commonly co-secrete cortisol and androgens in up to 80% of all cases (15, 16).

 

Bilateral adrenocortical disorders account for <2% of all cases of CS but some subtypes may be more prevalent in children compared to adults given their association with germline genetic defects (17). Micronodular adrenocortical disease is the most common type of bilateral adrenocortical disorder in pediatric patients. This category may be further divided in primary pigmented micronodular adrenocortical disease (PPNAD) where the adrenals present with multiple dark brown pigmented micronodules (due to lipofuscin deposition with most with diameter of <1cm) with internodular cortical atrophy, or the absence of these findings referred to as isolated micronodular adrenocortical disease (i-MAD) (18). PPNAD may be identified in the context of Carney complex (CNC) and less often as isolated PPNAD (19). Bilateral macronodular adrenocortical disease presenting with bilateral macronodules (most with diameter of ≥1cm) is rare in the pediatric population.

 

GENETICS

 

Genetic causes are found in less than half of the patients with pediatric CD and more commonly in adrenal-related CS. For patients presenting with pediatric onset CS, it is recommended to obtain genetic testing directed to the source of hypercortisolemia, i.e. adrenal vs. pituitary causes.  Although the yield in CD may be low, in cases of pituitary blastomas or bilateral micronodular disease genetic testing has higher chance of identifying the genetic cause and lead to screening for other related manifestations that may be important, such as cardiac myxomas in patients with CNC.

 

ACTH-Dependent Cushing Syndrome

 

Germline mutations are identified in less than 10% of patients with pediatric CD (8). Of the most common causes are MEN1 (causing multiple endocrine neoplasia type 1 syndrome, MEN1), CDKN1B (causing MEN4), and CABLES1 gene defects (20). Genes associated with familiar isolated pituitary adenoma (FIPA) syndrome, such as AIP, SDHx, and MAX, or syndromes associated with pituitary tumors amongst other manifestations, such as CNC due to PRKAR1A gene defects, do not commonly cause corticotropinomas and have only been reported in few case reports (21).

 

As mentioned above, young children (<2 years old) presenting with pituitary blastomas should be screened for DICER1 gene defects (10). DICER1 codes for an endoribonuclease that processes miRNAs (22). Patients with DICER1 or pleuropulmonary syndrome present with multiple tumors in lungs, kidneys, multinodular goiter, and other manifestations. Pituitary blastomas are present in less than 10% of all patients and always within the first years of life (23).

 

Somatic mutations are more likely to be identified in corticotropinomas. USP8 mutations in the 14-3-3 binding motif hotspot region of the gene have been reported as the cause of 40-60% of adults with CD (24, 25). Pediatric data suggest that USP8 mutations are less common and identified in up to 30% of cases (26). USP8 is a deubiquitinase involved in recycling of the epidermal growth factor receptor (EGFR) and mutations in the hotspot region led to increased catalytic activity, activation of the EGF pathway, and increased POMC expression. In children, USP8 mutant tumors presented with larger size and higher risk for persistent disease after surgery or recurrence after initial remission (26). Data in adult patients did not confirm this finding, and the prognostic value of identifying a USP8 mutation is still unclear (27). Other somatic mutations identified in corticotropinomas include USP48, TP53, and BRAF, but the incidence in pediatric patients is unknown (28). Finally, in a subset of patients with pediatric corticotropinomas large genomic chromosomal deletions/gains are identified and are associated with larger tumor and higher risk of invasion of the cavernous sinus (29).

 

ECS may present in various neuroendocrine tumors and the genetic background is associated with the primary tumor. MEN1, MEN2 (RET gene mutations), and some gene fusions have been described according to the tissue involved in ectopic ACTH secretion (30, 31).

 

ACTH-Independent Cushing Syndrome

 

Pediatric cortisol producing adrenocortical carcinomas may present in the context of TP53 mutations (32). In the Brazilian South and Southeast population, high prevalence of a germline founder TP53 mutation (p.R337H) is associated with high incidence of pediatric adrenocortical carcinomas (33, 34). Germline TP53 mutations may also present as Li-Fraumeni syndrome where patients have high risk for breast, central nervous system, bone, and other tumors (35). Cortisol-producing adrenocortical adenomas may be associated with gene defects leading to activation of the cyclic AMP (cAMP) protein kinase A (PKA) pathway, such as somatic mutations in PRKACA, PRKAR1A, and PRKACB genes (36, 37). Finally, somatic gene defects in the Wnt signaling pathway have also been identified in adrenocortical tumors (38).

 

ACTH-independent CS due to PPNAD presents commonly in the context of CNC (39). CNC is an autosomal dominant multiple neoplasia syndrome caused by inactivating mutations of the gene PRKAR1A, coding for the regulatory subunit 1 alpha of PKA, or less often linked to a second locus at chromosome 2p16 (40-42). Inactivating mutations in PRKAR1Alead to constitutive activation of PKA and downstream pathways (18). Patients with CNC present with several manifestations including PPNAD, pituitary abnormalities most often presenting as growth hormone dysregulation or acromegaly, thyroid nodules or carcinomas, testicular tumors, cardiac and skin myxomas, characteristic skin lesions, breast myxomatosis or adenomas, osteo-chondro-myxomas and psammomatous melanotic schwannomas (40). PPNAD in CNC is often diagnosed in the third decade of life but patients as young as in the first decade of life have been reported (43). Additional information about CNC can be found in the chapter entitled “Carney Complex” of Endotext (40).

 

Additional genetic defects associated with bilateral adrenocortical disease include PRKACA genomic gains, PDE11A, and PDE8A gene defects identified in patients with macronodular adrenocortical disease or isolated micronodular disease (44-46). PRKACA codes for the catalytic subunit of PKA, and chromosomal gains lead to increased PKA signaling (47). PDE11A and PDE8A codes for phosphor-diesterases that catalyze and decrease cAMP levels. Inactivating mutations in these genes lead to increased circulation of cAMP and increased PKA activity (44, 48). Macronodular adrenocortical disease due to ARMC5 gene defects often seen in adults is rare in the pediatric population (49).

 

Neonatal ACTH-independent CS may be seen in the context of McCune-Albright syndrome (MAS) (50). In these cases, CS presents within the first year of life and may have detrimental and rapidly developing symptoms which may even lead to death. However, if managed medically, neonatal CS in MAS may resolve on its own (51). Rare cases of neonatal onset adrenocortical disease have also been reported in the context of Beckwith-Wiedemann syndrome (52, 53).

 

PRESENTATION

 

The presentation of pediatric CS has similarities and differences from that in adults (Table 2).

 

Table 2. Presenting Findings in Pediatric Patients with Cushing Syndrome

Clinical findings

Anthropometric

Height deceleration

Weight gain

Cardiovascular

Hypertension

Musculoskeletal

Fractures

Proximal muscle weakness

Skin

Striae

Facial Plethora

Easy bruising

Acne

Hirsutism

Acanthosis nigricans

Abnormal fat deposition

Neuropsychiatric

Behavioral changes (compulsive behavior, overachievement tendency, irritability)

Psychiatric disorders (depression, anxiety)

Changes in cognitive function

Sleep disturbance (difficulty falling asleep)

Memory problems

Reproductive system

Delayed puberty

Irregular menses

Immunologic

Increased risk for infections

Laboratory and imaging findings

Complete blood count

Elevated total white blood cell, neutrophil and monocyte counts

Decreased lymphocyte and eosinophil count

Elevated neutrophil-to-lymphocyte ratio

Biochemistry

Hypokalemia

Hypercalciuria

Elevated ALT

Hyperlipidemia

Hyperglycemia with elevated insulin levels

Coagulation factors

Increased coagulation factors

Decreased aPTT

Echocardiogram

Cardiac hypertrophy

DXA

Decreased bone mineral density

 

The hallmark of pediatric CS is weight gain with concomitant height deceleration (Figure 1) (54). This finding can help discriminate patients with CS from with simple obesity who often have preserved height percentile (55). Fat deposition in pediatric patients may not be as prominently centripetal as noted in adults, and may present often as generalized obesity similar to other causes (56). Although height deceleration is seen in most cases of growing children, patients may not be short at presentation, may have completed growth by the time hypercortisolemia occurred, or may be exposed to episodic hypercortisolemia which may have more limited effect on their height (5, 8, 57). Bone age is often within the expected range for the chronologic age or advanced in pediatric patients with endogenous CS, and is correlated with the levels of adrenal androgens which are often increased in ACTH-dependent CS (58).

 

Figure 1. Typical growth chart of a pediatric patient with Cushing syndrome (A) compared to a child with obesity (B).

 

Dermatologic findings present in CS include striae (which are present in 60-80% of patients and may not have the characteristic appearance of deep purple color and thickness as in adults), facial plethora, acne (more common in ACTH-dependent CS possibly due to stimulation of adrenal zona reticularis by ACTH), hirsutism in women, hypertrichosis, acanthosis nigricans, and easy bruising (8, 56, 59).

 

Patients with CS often present with delayed puberty in males and females and/or irregular menses and secondary amenorrhea in females (8).

 

As in patients with iatrogenic CS, pediatric patients with endogenous CS present with decreased bone mineral density, with lower scores in the spinal measurements (60-62).  Proximal muscle weakness although reported is less frequent than adult patients (54).

 

Pediatric patients with endogenous CS, especially younger in age, often present with behavioral and neurocognitive changes. They may report behavioral changes including compulsive behaviors with overachievement goals, described as excellent students, along with increased anxiety and irritability (63). They may also report mood changes, depressed mood, sleep problems, and memory issues similar to adults. Headaches are common in pediatric patients and can be noted in up to 80% of them (8).

 

Hypercortisolemia and its related obesity lead to metabolic syndrome (64). Patients often present with insulin resistance and up to 30% of patients may have impaired glucose metabolism (56). Hyperlipidemia and elevated ALT as a surrogate marker of metabolic associated fatty liver disease (MAFLD) are also present in almost half of the patients (8, 56). Hypertension is present in almost 50% of patients with endogenous CS and cases of posterior reversible encephalopathy syndrome (PRES) due to hypertensive emergency have been reported as the initial manifestation of CS in pediatric patients (8, 65).

 

Similar to adults, pediatric patients with CS present with a hypercoagulable state associated with abnormal levels of procoagulants, antifibrinolytics, and anticoagulant factors, such as factor VIII, antithrombin III, protein C and S, and prolonged partial thromboplastin time (PTT) (66). Although in adult patients with CS the risk of venous thromboembolism is more studied, the exact incidence, risk, and thromboprophylaxis protocols in children are not as well delineated and depend on clinical judgement (67).

 

Additional findings in pediatric CS include characteristic abnormalities in CBC due to glucocorticoids effects including increased WBC count, neutrophil count, low normal lymphocyte count, and increased neutrophil-to-lymphocyte ratio (NLR) (68). Although immunosuppression may lead to severe infections in patients with significantly elevated cortisol levels, in most pediatric cases infections are limited to less clinically significant areas such as skin infections etc. (69). However, in very young patients, especially in neonatal CS, or patients with severe hypercortisolemia, such as in ECS, opportunistic infections may lead to significant morbidity and even death and prophylaxis should be initiated (14, 70).

 

Electrolyte abnormalities seen in endogenous CS include hypokalemia, uncommon overall but seen more frequently in ECS, and hypercalciuria which may lead to nephrolithiasis (8, 71).

 

Patients with hypercortisolemia also present with other hormonal defects including abnormal thyroid function test with a pattern of central hypothyroidism, abnormal GH secretion with IGF-1 levels usually preserved within the reference range, and suppressed gonadotropins (72-75). Tumor stalk compression effects may lead to hyperprolactinemia, although this is uncommon due to the small size of most corticotropinomas. Androgen levels are commonly elevated in ACTH-dependent CS due to adrenal zona reticularis stimulation from ACTH, or in adrenocortical carcinomas where co-secretion of cortisol and DHEAS may be seen.

 

DIAGNOSIS

 

The diagnostic evaluation of pediatric CS follows the guidelines of the endocrine and pituitary society adjusted for the pediatric population (7, 76, 77). Screening for hypercortisolemia is preferably done with at least two of the following tests: 24-hour urinary free cortisol (UFC, measured on 2-3 days), midnight (or late night) cortisol measured on 2-3 days, and suppression of cortisol to low dose dexamethasone (76). Specific details on these tests can be found in the chapter entitled “Endocrine Testing Protocols: Hypothalamic Pituitary Adrenal Axis” of Endotext (78).

 

Confirming the Diagnosis of Cushing Syndrome

 

The loss of the diurnal rhythm of ACTH/cortisol secretion is the first abnormality noted in patients with CS (79, 80). In clinical practice, salivary cortisol has been used to measure midnight or late night cortisol levels as it is convenient and can be collected at home (78, 81). If this is not available, then serum midnight cortisol is an alternative accurate screening test (77). A serum cortisol level of ≥4.4mcg/dL was able to distinguish almost all pediatric patients with CS with a sensitivity of 99% and a specificity of 100% (7). Serum cortisol needs to be measured from an indwelling catheter that has been placed at least 2 hours prior to sampling. We instruct patients to turn off all screens by 10pm and blood should be collected without awakening the patient (82).

 

The 24-hour urine collection should be performed on two or three days, to ensure optimal urine collection and account for the known day-to-day variability in urinary cortisol in patients with CS (83, 84). It is generally recommended to collect urine on days of routine physical activities and avoid days when increased stressful activities are expected, like competitive sports games etc. (85). Additionally, patients are advised to consume normal amount of fluids as excessive fluid intake and urine output may lead to false positive results (86). The urine samples should be measured for urine creatinine to ensure normal kidney function, but we do not routinely correct UFC levels for the urine creatinine level as this may lead to inaccurate results (87).

 

The low dose or 1mg overnight dexamethasone suppression test is performed similar to adults (78). Dose adjustment has been used in several studies, though no study has been done to specifically investigate the appropriate dose in children with CS. Various protocols recommend the use of 15mcg/kg, 25mcg/kg, or 0.3mg/m2 (max 1mg) once at 11pm for the overnight test or 1200mcg/kg/day (max 2mg/day) divided Q6 hours for two days (88, 89). Measurement of a serum dexamethasone level at the same time as cortisol is important to ensure the desired dexamethasone level has been reached.

 

If screening labs suggest cortisol excess, it is important to rule out physiologic/non-neoplastic hypercortisolism (previously known as pseudo-Cushing syndrome) (90). If suspicion is high, additional testing should be considered, including dexamethasone-CRH test (if available) or DDAVP stimulation test. If results remain inconsistent, close monitoring with repeat physical examination and labs within 3 months should be offered to monitor clinical and biochemical findings while at the same treating causes that may contribute to activation of the hypothalamic-pituitary-adrenal axis (90).

 

Identifying the Source of Hypercortisolemia

 

Once endogenous CS is confirmed, the next step is to identify the source of hypercortisolemia. ACTH levels are used to guide next steps. Elevated ACTH levels of >20-29pg/mL suggest ACTH-dependent CS while suppressed ACTH is consistent with ACTH-independent CS (7). Intermediate values may need further evaluation for both ACTH-dependent and ACTH-independent causes, but most often a non-suppressed ACTH level suggests ACTH-dependent CS, except in the case of mild subclinical hypercortisolemia or cyclical CS.

 

In cases of ACTH-dependent CS, additional biochemical and imaging studies include pituitary MRI (with and without contrast, pituitary protocol), CRH stimulation test (if available), DDAVP stimulation test and/or high dose dexamethasone suppression test. Corticotroph PitNETs are often shown as hypo-enhancing microadenomas in pituitary MRI (Figure 2), but a normal/negative MRI may be seen in up to 30% of patients (91). In cases of normal MRI or biochemical testing inconsistent with pituitary source, bilateral inferior petrosal sinus sampling (BIPSS) is the gold standard in diagnosing or ruling out CD. Non-invasive strategies are described if BIPSS is not feasible and/or not available (92). In our pediatric patients, all patients who showed suppression to high dose dexamethasone administration and stimulation to CRH/DDAVP consistent with a pituitary source, had CD irrespective of imaging findings (8).

 

For patients suspected to have ECS, further evaluation should include imaging of the neck, chest, abdomen, and pelvis with thin cuts as carcinoids can be small in diameter. Chest imaging is preferably done with CT due to higher accuracy in the lung parenchyma, but some centers use MRI for abdominal/pelvic imaging to reduce radiation. Nuclear imaging, preferably with Ga-68 DOTATATE or, if not available or negative, with 18F-FDG PET, may identify some of these ectopic sources (11, 13, 93). If a lesion found on imaging studies is suspicious but not convincing, one may attempt venous sampling close to the possible lesion for measurement of CRH and/or ACTH and compare the levels to a peripheral source (11). If a gradient is reported then this may further support the diagnosis of ectopic tumor (11). Other markers of potential interest in these cases include chromogranin A and CRH, which may be helpful in the follow-up of patients. Patients with ECS may present with pituitary hyperplasia if CRH is co-secreted, which should be considered when interpreting the imaging and biochemical results.

 

When ACTH-independent CS is suspected, imaging of the adrenals is the best next step. Imaging can be preferably with CT since it has good accuracy for lesions <1cm and less artifacts due to motion, but MRI may be an alternative to avoid radiation exposure. Ultrasound however is not accurate in identifying adrenal lesions other than large adrenocortical tumors (14). In ACTH-independent CS, it is important to review the anatomy of both adrenals; noting a unilateral lesion with atrophy of the contralateral adrenal supports the diagnosis of unilateral disease, whereas bilateral symmetrical adrenal enlargement or bilateral normal appearing adrenals suggests bilateral disease (Figure 2). In case of bilateral micronodular adrenocortical disease, adrenal anatomy is often read as normal or sometimes asymmetric appearance of the contour of the adrenals described as “beads on a string” may be apparent (94).

 

When bilateral adrenocortical disease is suspected, confirmation of the diagnosis prior to proceeding with surgical intervention involves the performance of Liddle’s test (95). The paradoxical increase of urinary free cortisol or 17-hydroxy steroids with increasing doses of dexamethasone is pathognomonic for PPNAD (95).

 

Figure 2. Typical imaging findings in a patient with Cushing disease (A-B), a cortisol-producing adrenal adenoma (C) and bilateral micronodular adrenocortical disease (E). Postcontrast sagittal (A) and coronal (B) MRI images of the pituitary showing a microadenoma (tip of arrows) as hypoechoic lesion. (C) Axial adrenal CT of a patient with a left adrenal adenoma (yellow asterisk) and atrophic contralateral adrenal (blue outline). (E) Axial adrenal CT of a patient with bilateral micronodular adrenocortical disease showing normal appearing adrenals (blue outline) with bilaterally symmetric thickness of the limbs of the adrenals.

 

TREATMENT

 

Surgical intervention is the first line of treatment in all types of CS whenever the source is identified. In patients with CD, transsphenoidal resection of the pituitary tumor is the preferred approach. Endoscopic or microscopic approaches have been attempted. A recent meta-analysis has not showed significant differences in the remission rate between the two approaches overall, but endoscopic approach may be preferrable in macroadenomas (96, 97). In very young patients, pneumatization of the sphenoid sinus may be incomplete and the surgical approach more be more difficult but transsphenoidal access is still possible (98). In rare cases of very young children with pituitary lesions or in giant complex pituitary tumors, the transcranial approach may be considered (99). Remission is defined as postoperative nadir cortisol levels of <2-5mcg/dl and early postoperative hypocortisolemia is a sensitive marker of durable remission (76, 100). In cases of non-remission patients may be managed with immediate reoperation and partial hypophysectomy (101). In the pediatric cohorts the remission rate after surgery ranges from 62 to 98% depending on the cohort and the criteria used (8, 102-104).

 

In cases of ACTH-independent CS, bilateral or unilateral adrenalectomy is recommended depending on the underlying cause (105). Although unilateral adrenalectomy has been suggested in cases of bilateral macronodular adrenocortical disease, data on unilateral adrenalectomy in micronodular adrenocortical disease are not clear (105).

 

ECS should primarily be managed with surgical resection.

 

In cases of persistent CD after surgery, medical therapy or radiation should be considered. At this time, no medical therapy for CS in the pediatric population has been approved by the FDA in the US and all treatments are considered as off-label use, but ketoconazole is approved by the European Medical Association for children >12 years of age. Medical therapies are divided in those directed to adrenal steroidogenesis, to pituitary tumor function, or to peripheral glucocorticoid action. Most commonly, steroidogenesis inhibitors are considered first line as they are more potent and faster acting. Of these, ketoconazole, metyrapone, osilodrostat, levo-ketoconazole and others have been used (106). Radiation therapy could be considered as an alternative second-line treatment but requires medical management and close monitoring until the radiation effect is apparent (107, 108). Finally, bilateral adrenalectomy is reserved for cases of severe CS persistent despite surgical or medical intervention. This is followed by lifelong adrenal insufficiency and patients should be monitored for the risk of Nelson syndrome (109).

 

POSTOPERATIVE MANAGEMENT

 

After successful surgical management, patients experience adrenal insufficiency. In CD the median duration of adrenal insufficiency is almost 12 months (110). Additionally, management of patients after remission of CS should also target symptoms of glucocorticoid withdrawal which may require supraphysiologic doses of glucocorticoids for a period of time and slow tapering to physiologic levels (111).

 

After recovery of the axis, regular screening for possible recurrence should be offered. Long term recurrence has been reported in 8-20% of pediatric patients with CD after initial postoperative remission (8). Screening for recurrence should be done preferably as in adults with two midnight or late-night salivary cortisol levels or with overnight dexamethasone suppression test annually (76).

 

REFERENCES

 

  1. Broder MS, Neary MP, Chang E, Cherepanov D, Ludlam WH. Incidence of Cushing's syndrome and Cushing's disease in commercially-insured patients <65 years old in the United States. Pituitary 2015, 18(3):283-289.
  2. Ragnarsson O, Olsson DS, Chantzichristos D, Papakokkinou E, Dahlqvist P, Segerstedt E, Olsson T, Petersson M, Berinder K, Bensing S, Hoybye C, Eden Engstrom B, Burman P, Bonelli L, Follin C, Petranek D, Erfurth EM, Wahlberg J, Ekman B, Akerman AK, Schwarcz E, Bryngelsson IL, Johannsson G. The incidence of Cushing's disease: a nationwide Swedish study. Pituitary 2019, 22(2):179-186.
  3. Holst JM, Horvath-Puho E, Jensen RB, Rix M, Kristensen K, Hertel NT, Dekkers OM, Sorensen HT, Juul A, Jorgensen JOL. Cushing's syndrome in children and adolescents: a Danish nationwide population-based cohort study. Eur J Endocrinol 2017, 176(5):567-574.
  4. Tatsi C, Stratakis CA. Pediatric Cushing Syndrome; an Overview. Pediatr Endocrinol Rev 2019, 17(2):100-109.
  5. Storr HL, Chan LF, Grossman AB, Savage MO. Paediatric Cushing's syndrome: epidemiology, investigation and therapeutic advances. Trends Endocrinol Metab 2007, 18(4):167-174.
  6. Herman V, Fagin J, Gonsky R, Kovacs K, Melmed S. Clonal origin of pituitary adenomas. J Clin Endocrinol Metab 1990, 71(6):1427-1433.
  7. Batista DL, Riar J, Keil M, Stratakis CA. Diagnostic tests for children who are referred for the investigation of Cushing syndrome. Pediatrics 2007, 120(3):e575-586.
  8. Tatsi C, Kamilaris C, Keil M, Saidkhodjaeva L, Faucz FR, Chittiboina P, Stratakis CA. Paediatric Cushing syndrome: a prospective, multisite, observational cohort study. Lancet Child Adolesc Health 2024, 8(1):51-62.
  9. Tatsi C, Stratakis CA. Aggressive pituitary tumors in the young and elderly. Rev Endocr Metab Disord 2020, 21(2):213-223.
  10. de Kock L, Sabbaghian N, Plourde F, Srivastava A, Weber E, Bouron-Dal Soglio D, Hamel N, Choi JH, Park SH, Deal CL, Kelsey MM, Dishop MK, Esbenshade A, Kuttesch JF, Jacques TS, Perry A, Leichter H, Maeder P, Brundler MA, Warner J, Neal J, Zacharin M, Korbonits M, Cole T, Traunecker H, McLean TW, Rotondo F, Lepage P, Albrecht S, Horvath E, Kovacs K, Priest JR, Foulkes WD. Pituitary blastoma: a pathognomonic feature of germ-line DICER1 mutations. Acta Neuropathol 2014, 128(1):111-122.
  11. Karageorgiadis AS, Papadakis GZ, Biro J, Keil MF, Lyssikatos C, Quezado MM, Merino M, Schrump DS, Kebebew E, Patronas NJ, Hunter MK, Alwazeer MR, Karaviti LP, Balazs AE, Lodish MB, Stratakis CA. Ectopic adrenocorticotropic hormone and corticotropin-releasing hormone co-secreting tumors in children and adolescents causing cushing syndrome: a diagnostic dilemma and how to solve it. J Clin Endocrinol Metab 2015, 100(1):141-148.
  12. More J, Young J, Reznik Y, Raverot G, Borson-Chazot F, Rohmer V, Baudin E, Coutant R, Tabarin A, Groupe Francais des Tumeurs E. Ectopic ACTH syndrome in children and adolescents. J Clin Endocrinol Metab 2011, 96(5):1213-1222.
  13. Yami Channaiah C, Karlekar M, Sarathi V, Lila AR, Ravindra S, Badhe PV, Malhotra G, Memon SS, Patil VA, Pramesh CS, Bandgar T. Paediatric and adolescent ectopic Cushing's syndrome: systematic review. Eur J Endocrinol 2023, 189(4):S75-S87.
  14. Tatsi C, Stratakis CA. Neonatal Cushing Syndrome: A Rare but Potentially Devastating Disease. Clin Perinatol 2018, 45(1):103-118.
  15. Ribeiro RC, Pinto EM, Zambetti GP, Rodriguez-Galindo C. The International Pediatric Adrenocortical Tumor Registry initiative: contributions to clinical, biological, and treatment advances in pediatric adrenocortical tumors. Mol Cell Endocrinol 2012, 351(1):37-43.
  16. Mete O, Erickson LA, Juhlin CC, de Krijger RR, Sasano H, Volante M, Papotti MG. Overview of the 2022 WHO Classification of Adrenal Cortical Tumors. Endocr Pathol 2022, 33(1):155-196.
  17. Kamilaris CDC, Stratakis CA, Hannah-Shmouni F. Molecular Genetic and Genomic Alterations in Cushing's Syndrome and Primary Aldosteronism. Front Endocrinol (Lausanne) 2021, 12:632543.
  18. Tirosh A, Valdes N, Stratakis CA. Genetics of micronodular adrenal hyperplasia and Carney complex. Presse Med 2018, 47(7-8 Pt 2):e127-e137.
  19. Stratakis CA. Adrenocortical tumors, primary pigmented adrenocortical disease (PPNAD)/Carney complex, and other bilateral hyperplasias: the NIH studies. Horm Metab Res 2007, 39(6):467-473.
  20. Makri A, Bonella MB, Keil MF, Hernandez-Ramirez L, Paluch G, Tirosh A, Saldarriaga C, Chittiboina P, Marx SJ, Stratakis CA, Lodish M. Children with MEN1 gene mutations may present first (and at a young age) with Cushing disease. Clin Endocrinol (Oxf) 2018, 89(4):437-443.
  21. Tatsi C, Flippo C, Stratakis CA. Cushing syndrome: Old and new genes. Best Pract Res Clin Endocrinol Metab 2020, 34(2):101418.
  22. Foulkes WD, Priest JR, Duchaine TF. DICER1: mutations, microRNAs and mechanisms. Nat Rev Cancer 2014, 14(10):662-672.
  23. Faure A, Atkinson J, Bouty A, O'Brien M, Levard G, Hutson J, Heloury Y. DICER1 pleuropulmonary blastoma familial tumour predisposition syndrome: What the paediatric urologist needs to know. J Pediatr Urol 2016, 12(1):5-10.
  24. Reincke M, Sbiera S, Hayakawa A, Theodoropoulou M, Osswald A, Beuschlein F, Meitinger T, Mizuno-Yamasaki E, Kawaguchi K, Saeki Y, Tanaka K, Wieland T, Graf E, Saeger W, Ronchi CL, Allolio B, Buchfelder M, Strom TM, Fassnacht M, Komada M. Mutations in the deubiquitinase gene USP8 cause Cushing's disease. Nat Genet 2015, 47(1):31-38.
  25. Ma ZY, Song ZJ, Chen JH, Wang YF, Li SQ, Zhou LF, Mao Y, Li YM, Hu RG, Zhang ZY, Ye HY, Shen M, Shou XF, Li ZQ, Peng H, Wang QZ, Zhou DZ, Qin XL, Ji J, Zheng J, Chen H, Wang Y, Geng DY, Tang WJ, Fu CW, Shi ZF, Zhang YC, Ye Z, He WQ, Zhang QL, Tang QS, Xie R, Shen JW, Wen ZJ, Zhou J, Wang T, Huang S, Qiu HJ, Qiao ND, Zhang Y, Pan L, Bao WM, Liu YC, Huang CX, Shi YY, Zhao Y. Recurrent gain-of-function USP8 mutations in Cushing's disease. Cell Res 2015, 25(3):306-317.
  26. Faucz FR, Tirosh A, Tatsi C, Berthon A, Hernandez-Ramirez LC, Settas N, Angelousi A, Correa R, Papadakis GZ, Chittiboina P, Quezado M, Pankratz N, Lane J, Dimopoulos A, Mills JL, Lodish M, Stratakis CA. Somatic USP8 Gene Mutations Are a Common Cause of Pediatric Cushing Disease. J Clin Endocrinol Metab 2017, 102(8):2836-2843.
  27. Albani A, Perez-Rivas LG, Dimopoulou C, Zopp S, Colon-Bolea P, Roeber S, Honegger J, Flitsch J, Rachinger W, Buchfelder M, Stalla GK, Herms J, Reincke M, Theodoropoulou M. The USP8 mutational status may predict long-term remission in patients with Cushing's disease. Clin Endocrinol (Oxf) 2018.
  28. Chen J, Jian X, Deng S, Ma Z, Shou X, Shen Y, Zhang Q, Song Z, Li Z, Peng H, Peng C, Chen M, Luo C, Zhao D, Ye Z, Shen M, Zhang Y, Zhou J, Fahira A, Wang Y, Li S, Zhang Z, Ye H, Li Y, Shen J, Chen H, Tang F, Yao Z, Shi Z, Chen C, Xie L, Wang Y, Fu C, Mao Y, Zhou L, Gao D, Yan H, Zhao Y, Huang C, Shi Y. Identification of recurrent USP48 and BRAF mutations in Cushing's disease. Nat Commun 2018, 9(1):3171.
  29. Tatsi C, Pankratz N, Lane J, Faucz FR, Hernandez-Ramirez LC, Keil M, Trivellin G, Chittiboina P, Mills JL, Stratakis CA, Lodish MB. Large Genomic Aberrations in Corticotropinomas Are Associated With Greater Aggressiveness. J Clin Endocrinol Metab 2019, 104(5):1792-1801.
  30. Corsello A, Ramunno V, Locantore P, Pacini G, Rossi ED, Torino F, Pontecorvi A, De Crea C, Paragliola RM, Raffaelli M, Corsello SM. Medullary Thyroid Cancer with Ectopic Cushing's Syndrome: A Case Report and Systematic Review of Detailed Cases from the Literature. Thyroid 2022, 32(11):1281-1298.
  31. Agaimy A, Kasajima A, Stoehr R, Haller F, Schubart C, Togel L, Pfarr N, von Werder A, Pavel ME, Sessa F, Uccella S, La Rosa S, Kloppel G. Gene fusions are frequent in ACTH-secreting neuroendocrine neoplasms of the pancreas, but not in their non-pancreatic counterparts. Virchows Arch 2023, 482(3):507-516.
  32. Wagner J, Portwine C, Rabin K, Leclerc JM, Narod SA, Malkin D. High frequency of germline p53 mutations in childhood adrenocortical cancer. J Natl Cancer Inst 1994, 86(22):1707-1710.
  33. Latronico AC, Pinto EM, Domenice S, Fragoso MC, Martin RM, Zerbini MC, Lucon AM, Mendonca BB. An inherited mutation outside the highly conserved DNA-binding domain of the p53 tumor suppressor protein in children and adults with sporadic adrenocortical tumors. J Clin Endocrinol Metab 2001, 86(10):4970-4973.
  34. Pinto EM, Billerbeck AE, Villares MC, Domenice S, Mendonca BB, Latronico AC. Founder effect for the highly prevalent R337H mutation of tumor suppressor p53 in Brazilian patients with adrenocortical tumors. Arq Bras Endocrinol Metabol 2004, 48(5):647-650.
  35. Schneider K, Zelley K, Nichols KE, Garber J: Li-Fraumeni Syndrome. In: GeneReviews((R)). edn. Edited by Adam MP, Feldman J, Mirzaa GM, Pagon RA, Wallace SE, Bean LJH, Gripp KW, Amemiya A. Seattle (WA); 1993.
  36. Goh G, Scholl UI, Healy JM, Choi M, Prasad ML, Nelson-Williams C, Kunstman JW, Korah R, Suttorp AC, Dietrich D, Haase M, Willenberg HS, Stalberg P, Hellman P, Akerstrom G, Bjorklund P, Carling T, Lifton RP. Recurrent activating mutation in PRKACA in cortisol-producing adrenal tumors. Nat Genet 2014, 46(6):613-617.
  37. Drougat L, Settas N, Ronchi CL, Bathon K, Calebiro D, Maria AG, Haydar S, Voutetakis A, London E, Faucz FR, Stratakis CA. Genomic and sequence variants of protein kinase A regulatory subunit type 1beta (PRKAR1B) in patients with adrenocortical disease and Cushing syndrome. Genet Med 2021, 23(1):174-182.
  38. Bonnet S, Gaujoux S, Launay P, Baudry C, Chokri I, Ragazzon B, Libe R, Rene-Corail F, Audebourg A, Vacher-Lavenu MC, Groussin L, Bertagna X, Dousset B, Bertherat J, Tissier F. Wnt/beta-catenin pathway activation in adrenocortical adenomas is frequently due to somatic CTNNB1-activating mutations, which are associated with larger and nonsecreting tumors: a study in cortisol-secreting and -nonsecreting tumors. J Clin Endocrinol Metab 2011, 96(2):E419-426.
  39. Stratakis CA, Carney JA, Lin JP, Papanicolaou DA, Karl M, Kastner DL, Pras E, Chrousos GP. Carney complex, a familial multiple neoplasia and lentiginosis syndrome. Analysis of 11 kindreds and linkage to the short arm of chromosome 2. J Clin Invest 1996, 97(3):699-705.
  40. Kaltsas G, Kanakis G, Chrousos G: Carney Complex. In: Endotext. edn. Edited by Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J et al. South Dartmouth (MA); 2000.
  41. Kirschner LS, Carney JA, Pack SD, Taymans SE, Giatzakis C, Cho YS, Cho-Chung YS, Stratakis CA. Mutations of the gene encoding the protein kinase A type I-alpha regulatory subunit in patients with the Carney complex. Nat Genet 2000, 26(1):89-92.
  42. Stratakis CA, Jenkins RB, Pras E, Mitsiadis CS, Raff SB, Stalboerger PG, Tsigos C, Carney JA, Chrousos GP. Cytogenetic and microsatellite alterations in tumors from patients with the syndrome of myxomas, spotty skin pigmentation, and endocrine overactivity (Carney complex). J Clin Endocrinol Metab 1996, 81(10):3607-3614.
  43. Espiard S, Vantyghem MC, Assie G, Cardot-Bauters C, Raverot G, Brucker-Davis F, Archambeaud-Mouveroux F, Lefebvre H, Nunes ML, Tabarin A, Lienhardt A, Chabre O, Houang M, Bottineau M, Stroer S, Groussin L, Guignat L, Cabanes L, Feydy A, Bonnet F, North MO, Dupin N, Grabar S, Duboc D, Bertherat J. Frequency and Incidence of Carney Complex Manifestations: A Prospective Multicenter Study With a Three-Year Follow-Up. J Clin Endocrinol Metab 2020, 105(3).
  44. Horvath A, Mericq V, Stratakis CA. Mutation in PDE8B, a cyclic AMP-specific phosphodiesterase in adrenal hyperplasia. N Engl J Med 2008, 358(7):750-752.
  45. Libe R, Fratticci A, Coste J, Tissier F, Horvath A, Ragazzon B, Rene-Corail F, Groussin L, Bertagna X, Raffin-Sanson ML, Stratakis CA, Bertherat J. Phosphodiesterase 11A (PDE11A) and genetic predisposition to adrenocortical tumors. Clin Cancer Res 2008, 14(12):4016-4024.
  46. Lodish MB, Yuan B, Levy I, Braunstein GD, Lyssikatos C, Salpea P, Szarek E, Karageorgiadis AS, Belyavskaya E, Raygada M, Faucz FR, Izzat L, Brain C, Gardner J, Quezado M, Carney JA, Lupski JR, Stratakis CA. Germline PRKACA amplification causes variable phenotypes that may depend on the extent of the genomic defect: molecular mechanisms and clinical presentations. Eur J Endocrinol 2015, 172(6):803-811.
  47. Carney JA, Lyssikatos C, Lodish MB, Stratakis CA. Germline PRKACA amplification leads to Cushing syndrome caused by 3 adrenocortical pathologic phenotypes. Hum Pathol 2015, 46(1):40-49.
  48. Horvath A, Boikos S, Giatzakis C, Robinson-White A, Groussin L, Griffin KJ, Stein E, Levine E, Delimpasi G, Hsiao HP, Keil M, Heyerdahl S, Matyakhina L, Libe R, Fratticci A, Kirschner LS, Cramer K, Gaillard RC, Bertagna X, Carney JA, Bertherat J, Bossis I, Stratakis CA. A genome-wide scan identifies mutations in the gene encoding phosphodiesterase 11A4 (PDE11A) in individuals with adrenocortical hyperplasia. Nat Genet 2006, 38(7):794-800.
  49. Espiard S, Drougat L, Libe R, Assie G, Perlemoine K, Guignat L, Barrande G, Brucker-Davis F, Doullay F, Lopez S, Sonnet E, Torremocha F, Pinsard D, Chabbert-Buffet N, Raffin-Sanson ML, Groussin L, Borson-Chazot F, Coste J, Bertagna X, Stratakis CA, Beuschlein F, Ragazzon B, Bertherat J. ARMC5 Mutations in a Large Cohort of Primary Macronodular Adrenal Hyperplasia: Clinical and Functional Consequences. J Clin Endocrinol Metab 2015, 100(6):E926-935.
  50. Brown RJ, Kelly MH, Collins MT. Cushing syndrome in the McCune-Albright syndrome. J Clin Endocrinol Metab 2010, 95(4):1508-1515.
  51. Dumitrescu CE, Collins MT. McCune-Albright syndrome. Orphanet J Rare Dis 2008, 3:12.
  52. Carney JA, Ho J, Kitsuda K, Young WF, Jr., Stratakis CA. Massive neonatal adrenal enlargement due to cytomegaly, persistence of the transient cortex, and hyperplasia of the permanent cortex: findings in Cushing syndrome associated with hemihypertrophy. Am J Surg Pathol 2012, 36(10):1452-1463.
  53. Schweiger BM, Esakhan CL, Frishberg D, Grand K, Garg R, Sanchez-Lara PA. Pediatric Cushing syndrome: An early sign of an underling cancer predisposition syndrome. Am J Med Genet A 2021, 185(9):2824-2828.
  54. Magiakou MA, Mastorakos G, Oldfield EH, Gomez MT, Doppman JL, Cutler GB, Jr., Nieman LK, Chrousos GP. Cushing's syndrome in children and adolescents. Presentation, diagnosis, and therapy. N Engl J Med 1994, 331(10):629-636.
  55. Greening JE, Storr HL, McKenzie SA, Davies KM, Martin L, Grossman AB, Savage MO. Linear growth and body mass index in pediatric patients with Cushing's disease or simple obesity. J Endocrinol Invest 2006, 29(10):885-887.
  56. Keil MF, Graf J, Gokarn N, Stratakis CA. Anthropometric measures and fasting insulin levels in children before and after cure of Cushing syndrome. Clin Nutr 2012, 31(3):359-363.
  57. Gunther DF, Bourdeau I, Matyakhina L, Cassarino D, Kleiner DE, Griffin K, Courkoutsakis N, Abu-Asab M, Tsokos M, Keil M, Carney JA, Stratakis CA. Cyclical Cushing syndrome presenting in infancy: an early form of primary pigmented nodular adrenocortical disease, or a new entity? J Clin Endocrinol Metab 2004, 89(7):3173-3182.
  58. Lodish MB, Gourgari E, Sinaii N, Hill S, Libuit L, Mastroyannis S, Keil M, Batista DL, Stratakis CA. Skeletal maturation in children with Cushing syndrome is not consistently delayed: the role of corticotropin, obesity, and steroid hormones, and the effect of surgical cure. J Pediatr 2014, 164(4):801-806.
  59. Stratakis CA, Mastorakos G, Mitsiades NS, Mitsiades CS, Chrousos GP. Skin manifestations of Cushing disease in children and adolescents before and after the resolution of hypercortisolemia. Pediatr Dermatol 1998, 15(4):253-258.
  60. Leong GM, Abad V, Charmandari E, Reynolds JC, Hill S, Chrousos GP, Nieman LK. Effects of child- and adolescent-onset endogenous Cushing syndrome on bone mass, body composition, and growth: a 7-year prospective study into young adulthood. J Bone Miner Res 2007, 22(1):110-118.
  61. Lodish MB, Hsiao HP, Serbis A, Sinaii N, Rothenbuhler A, Keil MF, Boikos SA, Reynolds JC, Stratakis CA. Effects of Cushing disease on bone mineral density in a pediatric population. J Pediatr 2010, 156(6):1001-1005.
  62. Ward LM. Glucocorticoid-Induced Osteoporosis: Why Kids Are Different. Front Endocrinol (Lausanne) 2020, 11:576.
  63. Merke DP, Giedd JN, Keil MF, Mehlinger SL, Wiggs EA, Holzer S, Rawson E, Vaituzis AC, Stratakis CA, Chrousos GP. Children experience cognitive decline despite reversal of brain atrophy one year after resolution of Cushing syndrome. J Clin Endocrinol Metab 2005, 90(5):2531-2536.
  64. Ferrau F, Korbonits M. Metabolic comorbidities in Cushing's syndrome. Eur J Endocrinol 2015, 173(4):M133-157.
  65. Lodish M, Patronas NJ, Stratakis CA. Reversible posterior encephalopathy syndrome associated with micronodular adrenocortical disease and Cushing syndrome. Eur J Pediatr 2010, 169(1):125-126.
  66. Birdwell L, Lodish M, Tirosh A, Chittiboina P, Keil M, Lyssikatos C, Belyavskaya E, Feelders RA, Stratakis CA. Coagulation Profile Dynamics in Pediatric Patients with Cushing Syndrome: A Prospective, Observational Comparative Study. J Pediatr 2016, 177:227-231.
  67. Wagner J, Langlois F, Lim DST, McCartney S, Fleseriu M. Hypercoagulability and Risk of Venous Thromboembolic Events in Endogenous Cushing's Syndrome: A Systematic Meta-Analysis. Front Endocrinol (Lausanne) 2018, 9:805.
  68. Wurth R, Rescigno M, Flippo C, Stratakis CA, Tatsi C. Inflammatory biomarkers in the evaluation of pediatric endogenous Cushing syndrome. Eur J Endocrinol 2022, 186(4):503-510.
  69. Tatsi C, Boden R, Sinaii N, Keil M, Lyssikatos C, Belyavskaya E, Rosenzweig SD, Stratakis CA, Lodish MB. Decreased lymphocytes and increased risk for infection are common in endogenous pediatric Cushing syndrome. Pediatr Res 2018, 83(2):431-437.
  70. Gkourogianni A, Lodish MB, Zilbermint M, Lyssikatos C, Belyavskaya E, Keil MF, Stratakis CA. Death in pediatric Cushing syndrome is uncommon but still occurs. Eur J Pediatr 2015, 174(4):501-507.
  71. Rahman SH, Papadakis GZ, Keil MF, Faucz FR, Lodish MB, Stratakis CA. Kidney Stones as an Underrecognized Clinical Sign in Pediatric Cushing Disease. J Pediatr 2016, 170:273-277 e271.
  72. Weinberg JR, Voudouri M, Keil M, Stratakis CA, Tatsi C. The utility of IGF1 in the evaluation of pediatric patients with endogenous hypercortisolemia. Pediatr Res 2023.
  73. Stratakis CA, Mastorakos G, Magiakou MA, Papavasiliou E, Oldfield EH, Chrousos GP. Thyroid function in children with Cushing's disease before and after transsphenoidal surgery. J Pediatr 1997, 131(6):905-909.
  74. Unuane D, Tournaye H, Velkeniers B, Poppe K. Endocrine disorders & female infertility. Best Pract Res Clin Endocrinol Metab 2011, 25(6):861-873.
  75. Magiakou MA, Mastorakos G, Gomez MT, Rose SR, Chrousos GP. Suppressed spontaneous and stimulated growth hormone secretion in patients with Cushing's disease before and after surgical cure. J Clin Endocrinol Metab 1994, 78(1):131-137.
  76. Fleseriu M, Auchus R, Bancos I, Ben-Shlomo A, Bertherat J, Biermasz NR, Boguszewski CL, Bronstein MD, Buchfelder M, Carmichael JD, Casanueva FF, Castinetti F, Chanson P, Findling J, Gadelha M, Geer EB, Giustina A, Grossman A, Gurnell M, Ho K, Ioachimescu AG, Kaiser UB, Karavitaki N, Katznelson L, Kelly DF, Lacroix A, McCormack A, Melmed S, Molitch M, Mortini P, Newell-Price J, Nieman L, Pereira AM, Petersenn S, Pivonello R, Raff H, Reincke M, Salvatori R, Scaroni C, Shimon I, Stratakis CA, Swearingen B, Tabarin A, Takahashi Y, Theodoropoulou M, Tsagarakis S, Valassi E, Varlamov EV, Vila G, Wass J, Webb SM, Zatelli MC, Biller BMK. Consensus on diagnosis and management of Cushing's disease: a guideline update. Lancet Diabetes Endocrinol 2021.
  77. Nieman LK, Biller BM, Findling JW, Newell-Price J, Savage MO, Stewart PM, Montori VM. The diagnosis of Cushing's syndrome: an Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab 2008, 93(5):1526-1540.
  78. Babic N, Yeo KTJ, Hannoush ZC, Weiss RE: Endocrine Testing Protocols: Hypothalamic Pituitary Adrenal Axis. In: Endotext. edn. Edited by Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J et al. South Dartmouth (MA); 2000.
  79. Newell-Price J, Trainer P, Perry L, Wass J, Grossman A, Besser M. A single sleeping midnight cortisol has 100% sensitivity for the diagnosis of Cushing's syndrome. Clin Endocrinol (Oxf) 1995, 43(5):545-550.
  80. Tatsi C, Stratakis C: Cushing Disease: Diagnosis and Treatment. In: Pituitary Disorders of Childhood Diagnosis and Clinical Management. edn. Edited by Kohn B: Springer Nature Switzerland AG; 2019: 89-114.
  81. Carroll T, Raff H, Findling JW. Late-night salivary cortisol for the diagnosis of Cushing syndrome: a meta-analysis. Endocr Pract 2009, 15(4):335-342.
  82. Newell-Price J, Trainer P, Besser M, Grossman A. The diagnosis and differential diagnosis of Cushing's syndrome and pseudo-Cushing's states. Endocr Rev 1998, 19(5):647-672.
  83. Stratakis CA. An update on Cushing syndrome in pediatrics. Ann Endocrinol (Paris) 2018, 79(3):125-131.
  84. Petersenn S, Newell-Price J, Findling JW, Gu F, Maldonado M, Sen K, Salgado LR, Colao A, Biller BM, Pasireotide BSG. High variability in baseline urinary free cortisol values in patients with Cushing's disease. Clin Endocrinol (Oxf) 2014, 80(2):261-269.
  85. Luger A, Deuster PA, Kyle SB, Gallucci WT, Montgomery LC, Gold PW, Loriaux DL, Chrousos GP. Acute hypothalamic-pituitary-adrenal responses to the stress of treadmill exercise. Physiologic adaptations to physical training. N Engl J Med 1987, 316(21):1309-1315.
  86. Mericq MV, Cutler GB, Jr. High fluid intake increases urine free cortisol excretion in normal subjects. J Clin Endocrinol Metab 1998, 83(2):682-684.
  87. Bertrand PV, Rudd BT, Weller PH, Day AJ. Free cortisol and creatinine in urine of healthy children. Clin Chem 1987, 33(11):2047-2051.
  88. Hindmarsh PC, Brook CG. Single dose dexamethasone suppression test in children: dose relationship to body size. Clin Endocrinol (Oxf) 1985, 23(1):67-70.
  89. Ferrigno R, Hasenmajer V, Caiulo S, Minnetti M, Mazzotta P, Storr HL, Isidori AM, Grossman AB, De Martino MC, Savage MO. Paediatric Cushing's disease: Epidemiology, pathogenesis, clinical management and outcome. Rev Endocr Metab Disord 2021, 22(4):817-835.
  90. Findling JW, Raff H. DIAGNOSIS OF ENDOCRINE DISEASE: Differentiation of pathologic/neoplastic hypercortisolism (Cushing's syndrome) from physiologic/non-neoplastic hypercortisolism (formerly known as pseudo-Cushing's syndrome). Eur J Endocrinol 2017, 176(5):R205-R216.
  91. Tatsi C, Bompou ME, Flippo C, Keil M, Chittiboina P, Stratakis CA. Paediatric patients with Cushing disease and negative pituitary MRI have a higher risk of nonremission after transsphenoidal surgery. Clin Endocrinol (Oxf) 2021, 95(6):856-862.
  92. Frete C, Corcuff JB, Kuhn E, Salenave S, Gaye D, Young J, Chanson P, Tabarin A. Non-invasive Diagnostic Strategy in ACTH-dependent Cushing's Syndrome. J Clin Endocrinol Metab 2020, 105(10).
  93. Varlamov E, Hinojosa-Amaya JM, Stack M, Fleseriu M. Diagnostic utility of Gallium-68-somatostatin receptor PET/CT in ectopic ACTH-secreting tumors: a systematic literature review and single-center clinical experience. Pituitary 2019, 22(5):445-455.
  94. Courcoutsakis NA, Tatsi C, Patronas NJ, Lee CC, Prassopoulos PK, Stratakis CA. The complex of myxomas, spotty skin pigmentation and endocrine overactivity (Carney complex): imaging findings with clinical and pathological correlation. Insights Imaging 2013, 4(1):119-133.
  95. Stratakis CA, Sarlis N, Kirschner LS, Carney JA, Doppman JL, Nieman LK, Chrousos GP, Papanicolaou DA. Paradoxical response to dexamethasone in the diagnosis of primary pigmented nodular adrenocortical disease. Ann Intern Med 1999, 131(8):585-591.
  96. Chen J, Liu H, Man S, Liu G, Li Q, Zuo Q, Huo L, Li W, Deng W. Endoscopic vs. Microscopic Transsphenoidal Surgery for the Treatment of Pituitary Adenoma: A Meta-Analysis. Front Surg 2021, 8:806855.
  97. Broersen LHA, Biermasz NR, van Furth WR, de Vries F, Verstegen MJT, Dekkers OM, Pereira AM. Endoscopic vs. microscopic transsphenoidal surgery for Cushing's disease: a systematic review and meta-analysis. Pituitary 2018, 21(5):524-534.
  98. Marino AC, Taylor DG, Desai B, Jane JA, Jr. Surgery for Pediatric Pituitary Adenomas. Neurosurg Clin N Am 2019, 30(4):465-471.
  99. Luzzi S, Giotta Lucifero A, Rabski J, Kadri PAS, Al-Mefty O. The Party Wall: Redefining the Indications of Transcranial Approaches for Giant Pituitary Adenomas in Endoscopic Era. Cancers (Basel) 2023, 15(8).
  100. Ironside N, Chatain G, Asuzu D, Benzo S, Lodish M, Sharma S, Nieman L, Stratakis CA, Lonser RR, Chittiboina P. Earlier post-operative hypocortisolemia may predict durable remission from Cushing's disease. Eur J Endocrinol 2018, 178(3):255-263.
  101. Ram Z, Nieman LK, Cutler GB, Jr., Chrousos GP, Doppman JL, Oldfield EH. Early repeat surgery for persistent Cushing's disease. J Neurosurg 1994, 80(1):37-45.
  102. Yordanova G, Martin L, Afshar F, Sabin I, Alusi G, Plowman NP, Riddoch F, Evanson J, Matson M, Grossman AB, Akker SA, Monson JP, Drake WM, Savage MO, Storr HL. Long-term outcomes of children treated for Cushing's disease: a single center experience. Pituitary 2016, 19(6):612-624.
  103. Batista DL, Oldfield EH, Keil MF, Stratakis CA. Postoperative testing to predict recurrent Cushing disease in children. J Clin Endocrinol Metab 2009, 94(8):2757-2765.
  104. Savage MO, Chan LF, Grossman AB, Storr HL. Work-up and management of paediatric Cushing's syndrome. Curr Opin Endocrinol Diabetes Obes 2008, 15(4):346-351.
  105. Meloche-Dumas L, Mercier F, Lacroix A. Role of unilateral adrenalectomy in bilateral adrenal hyperplasias with Cushing's syndrome. Best Pract Res Clin Endocrinol Metab 2021, 35(2):101486.
  106. Castinetti F. Cushing's disease: role of preoperative and primary medical therapy. Pituitary 2022, 25(5):737-739.
  107. Castinetti F, Brue T, Ragnarsson O. Radiotherapy as a tool for the treatment of Cushing's disease. Eur J Endocrinol 2019, 180(5):D9-D18.
  108. Geer EB, Ayala A, Bonert V, Carmichael JD, Gordon MB, Katznelson L, Manuylova E, Shafiq I, Surampudi V, Swerdloff RS, Broder MS, Cherepanov D, Eagan M, Lee J, Said Q, Neary MP, Biller BMK. Follow-up intervals in patients with Cushing's disease: recommendations from a panel of experienced pituitary clinicians. Pituitary 2017, 20(4):422-429.
  109. Reincke M, Fleseriu M. Cushing Syndrome: A Review. JAMA 2023, 330(2):170-181.
  110. Tatsi C, Neely M, Flippo C, Bompou ME, Keil M, Stratakis CA. Recovery of hypothalamic-pituitary-adrenal axis in paediatric Cushing disease. Clin Endocrinol (Oxf) 2021, 94(1):40-47.
  111. Zhang CD, Li D, Singh S, Suresh M, Thangamuthu K, Nathani R, Achenbach SJ, Atkinson EJ, Van Gompel JJ, Young WF, Bancos I. Glucocorticoid withdrawal syndrome following surgical remission of endogenous hypercortisolism: a longitudinal observational study. Eur J Endocrinol 2023, 188(7):592-602.

 

Familial Isolated Pituitary Adenoma

ABSTRACT

 

Familial Isolated Pituitary Adenoma (FIPA) is a term used to identify a genetic condition with pituitary tumors without other endocrine or other associated abnormalities. FIPA families contribute around 2% to the overall incidence of pituitary tumors. FIPA is a heterogeneous disease both in terms of the clinical phenotype as well as from the genetic background point of view. Some FIPA families have been identified to have germline mutations in the aryl hydrocarbon receptor interacting protein (AIP) gene leading to incomplete penetrance of young-onset, mostly growth hormone, mixed growth hormone/prolactin-secreting, or prolactin-secreting pituitary adenomas. Due to the low penetrance, almost half of the AIPmutation-positive patients do not have a positive family history. Duplication of the orphan G protein coupled receptor GPR101 gene, located on Xq26.3, leads to high penetrance pituitary hyperplasia or adenoma resulting in infant-onset GH excess, usually with concomitant hyperprolactinemia, named X-linked acrogigantism (XLAG). The majority of the FIPA families, however, have no known genetic mutation. Their clinical picture includes various types of pituitary adenomas, either homogeneous (all affected family members have the same adenoma type) or heterogeneous (different adenoma types within the same family), presenting with low penetrance and an age of onset not significantly different from patients with sporadic pituitary adenomas. Here we review the clinical features, genetics and screening aspects of FIPA.

 

INTRODUCTION

 

Familial Isolated Pituitary Adenoma (FIPA) is a relatively new term. Introduced by Professor Beckers in 1999, FIPA describes families with pituitary adenoma and no other associated symptoms (1, 2). As opposed to occurring in isolation, familial pituitary adenomas have been recognized in several syndromic diseases, such as the classical MEN1 syndrome or Carney complex or the most recently described, such as hereditary paraganglioma syndromes (3-5), MEN4, and DICER1 syndrome (6) (Figure 1).  For additional information we refer the reader to other chapters within ENDOTEXT on syndromic familial pituitary adenomas.

 

Figure 1. Germline or Mosaic Mutations Causing Pituitary Tumors. Details for the syndromic forms can be found, among others, in the following sections https://www.endotext.org/chapter/multiple-endocrine-neoplasia-type-i/, https://www.endotext.org/chapter/carney-complex/, https://www.endotext.org/chapter/pituitary-adenomas-in-childhood/ and in these references (6-10).

 

Descriptions of familial pituitary adenoma families have been around for several hundreds of years, but only over the last decade has the clinical phenotype and, in some cases, the genetic abnormality been described. Interestingly, some of the patients with germline mutations present as simplex patients without any known family history, either due to low penetrance or due to de novo mutations.

 

Figure 2. Family Trees Demonstrating Examples of the Various Types of FIPA Families. In some AIP mutation-negative FIPA families unaffected obligate carriers can be identified by their position in the family tree, while in other family’s possible carriers of the unidentified gene cannot be identified. AIP mutation-positive kindreds can be ‘families’ or simplex cases. Most XLAG kindreds are simplex cases with females having de novo germline mutations while males have somatic mosaic mutations.

 

Previous data suggest that FIPA families contribute around 2% of the overall incidence of pituitary tumors, but this number may increase with increasing recognition of this clinical entity.

 

Around 10-20% of all FIPA families and 50% of familial isolated GH-producing Tumor families (11, 12) have been identified to have mutations within the aryl hydrocarbon receptor interacting protein (AIP) gene, located at 11q13. Germline mutations in AIP have also been identified in patients with young-onset pituitary adenomas, mostly GH-secreting or prolactin-secreting or silent GH/prolactin-producing adenomas with no apparent family history. These are called ‘simplex’ cases. Until recently, no somatic mutations had been described in the AIP gene in pituitary or other tumors (1). Duplication of the orphan G protein-coupled receptor GPR101 causes X-linked acrogigantism (XLAG) (13).While most of the XLAG cases are due to de novo mutations (germline or somatic mosaicism (14, 15)), to date three families have also been described. The causative gene for the rest and therefore the vast majority (90% only considering kindreds with 2 or more affected subjects) of FIPA families is currently unknown (16). Recently, a microdeletion upstream the GHRH gene, on chromosome 20, has been identified as another possible cause of severe infant-onset gigantism (17). New candidate genes are under active investigation in somatic and familial cases of pituitary adenomas (18), but some need further validation. Representative examples of FIPA family trees are shown in Figure 2.

 

CLINICAL FEATURES OF FIPA

 

Families with AIP mutations usually have a characteristic phenotype, which is usually substantially different from that ofAIP mutation-negative phenotype. In this section, we compare characteristics of AIP-mutated and non-AIP-mutated FIPA. Germline chromosomal defects leading to gigantism, including XLAG and a recently described microdeletion in chromosome 20 that leads to GHRH overexpression, have a drastically different phenotype and are discussed separately below.

 

Tumor Types

 

FIPA families can be homologous (i.e. all affected family members have the same type of tumor) or heterologous (i.e. family members can have different type of tumor) (Figure 2). Therefore, pure acromegaly, pure prolactinoma, and pure non-functioning pituitary adenoma (NFPA) families have been identified, while also mixed families such as acromegaly-prolactinoma, acromegaly-NFPA, prolactinoma-NFPA, prolactin-corticotrophinoma or even acromegaly-prolactinoma-NFPA families have been described. Somato-mammotrophinomas occur commonly, but are not consistently reported, probably as a result of variations in the reporting of tumor histology type. Figure 3a, b and c demonstrate the distribution of histological tumor types in FIPA families.

 

Figure 3a. Proportion of histological tumor types in the AIP positive FIPA population in the International FIPA Consortium cohort (n=911) (19).

Figure 3b. Proportion of tumor types in AIP mutation-positive FIPA families (12).

Figure 3c. Proportion of tumor types in AIP mutation-negative FIPA families (12).

 

In a study including familial as well as simplex (apparently sporadic) patients with germline AIP mutations, 78% of 96 patients developed GH-secreting adenomas (20) (half of the GH-secreting adenomas were somato-mammotrophinomas), 13.5% of patients developed prolactinomas, 7% developed non-functioning pituitary adenomas (NFPAs), and 1 patient developed a TSH-secreting adenoma. In another study, comprising 171 patients carrying AIPmutations, based on clinical diagnosis 70% had somatotrophinomas, 11% mixed GH/PRLomas, 12% had prolactinomas, and 8% had clinically non-functioning tumors (12). On histological testing some tumors show plurihormonal profile (Figure 3b). It is important to note that some non-functioning tumors are found to be somatotroph/lactotroph upon histological examination (21) – these are therefore ‘silent adenomas’. The distribution of tumors amongst 318 non-AIPmutated FIPA families (1310 patients) is represented in Figure 3c (12). Somatotrophinomas are the most common tumor type in both AIP mutation-positive and negative FIPA families (12, 19).

 

Gender Distribution

 

While higher numbers of males are identified with AIP mutations both in familial and simplex setting (12, 20), ascertainment bias due to physiological later puberty of boys and their normally taller stature cannot be ruled out (19), as in a carefully-studied large AIP mutation family equal number of affected males and females are present (22). There is a greater prevalence of females within AIP mutation-negative families, probably due to a higher number of prolactinomas (19).

 

Age of Onset

 

AIP gene mutation-positive FIPA patients have an earlier age of onset of diagnosis compared to those with AIP mutation-negative familial (23) or sporadic (20) pituitary adenomas. The age of onset of pituitary adenoma symptoms is 8 years earlier in the AIP mutation-positive group (mean age 19 years, SD ± 9.5, p<0.001), with diagnosis being made 6 years earlier (mean age of diagnosis 24.3, SD ± 11.9 vs 30, SD ± 13.5, p<0.001) than in the AIP mutation-negative population (12). In our international FIPA cohort, the familial cohort with AIP mutation-positive tumors had a peak age of onset during the 2nd and 3rd decades of life, with 65% of these patients’ developing symptoms aged ≤18 years (28.8% in the AIP mutation-negative group) and 87% by the age of 30 years (12). Previous work has shown that those families with AIP mutation-negative tumors demonstrate a more even spread of occurrence between the ages of 20 and 50, with a peak incidence around the age of 30 years old (19); the latest data suggests that the modal age group (42%) is 20-29 years (12). 

 

Young (<30 years) onset simplex patients, the AIP mutation-positive group, also developed tumors at a younger age than the mutation-negative group, with median ages of 16 years (IQR 14.8-22.3) and 22 years (IQR 16-26) respectively (19).

 

In the Bart’s international cohort, over 80% of the families with AIP mutations have at least one affected patient with gigantism or disease onset before the age of 18 years, while only 3 out of 46 AIP mutation-negative families have an onset of pituitary adenoma before the age of 18 years (23). Interestingly, probably due to earlier recognition of symptoms in affected FIPA families, the age of tumor onset appeared to be earlier in the second generation than in the first (mean age 29 ±10.2 years vs. 50.5± 14.2 years p<0.0001) (24).

 

Disease Penetrance

 

Disease penetrance in FIPA is incomplete. As there is a clear natural bias of affected patient referral and the clinical and genetic data in the individual families are incomplete, the calculation of disease penetrance is difficult. Additionally, it is important that penetrance always be considered in the context of the subject’s age.

 

In AIP positive mutation families, current data suggests 12.5-30% penetrance, but ranges between 10-90%, also depending on available data (19, 20, 23). It seems that the nature of the AIP mutation (truncating or non-truncating) does not have any effect on penetrance (19).

In AIP mutation-negative families, penetrance calculations are even more difficult as carrier unaffected family members (other than obligate carriers) cannot be distinguished from non-carrier unaffected subjects. The current calculation based on affected subjects, obligate carriers and 50% of potential carriers suggest 38±16% (23), but this is obviously a very significant overestimate.

 

Another way to compare penetrance between AIP positive and negative families is to count the known affected subjects within families. Penetrance in AIP mutation-negative families is probably lower than in AIP mutation-positive families, as the mean number of patients with disease in AIP mutation-positive families is 3.2±1.8 and in AIP mutation-negative families 2.2±0.5, P<0.001 (23).

 

De novo AIP mutation has been described in two cases so far: in a child with prolactinoma (c.721A>T; p.Lys241*) where the AIP mutation was not found in the parents (paternity confirmed) or his sister (19, 25). A second case was with identical twin girls, where both of them carry a mutation in the leukocyte derived DNA (p.R304*), while their parents (paternity confirmed) were negative (26).

 

Phenocopies (patients who show manifestations of a disease that are usually associated with mutations of a particular gene but instead are, in this case, due to another etiology) (27) have been described in families with AIP mutations (16, 23) and are probably present in AIP negative families as well, therefore careful and cautious genetic studies and counselling need to be conducted in every family.

 

Tumor Behavior

 

SIZE

 

FIPA patients in general have larger, more aggressive tumors and earlier onset of disease compared to sporadic pituitary adenomas (11, 20, 23, 28).

 

Macroadenomas predominate amongst AIP mutation-negative and positive FIPA groups. However, when compared to sporadic pituitary adenomas, AIP gene mutation-positive FIPA patients were more likely to have larger tumors (1, 11, 19, 28) and macroadenomas (19), and these tumors were more likely to invade the extrasellar region (19, 20).

 

There was no statistical difference between the AIP mutation-positive and negative groups in the occurrence of giant (>40mm) adenomas (19), nor in the incidence of macroadenomas (mutation-positive 83.2% vs 79.2% p=0.259) or cavernous sinus invasion (mutation-positive 36.7% vs 28.3%, p=0.122) (12). Suprasellar extension was more frequent in the pituitary adenomas of AIP mutation-positive FIPA patients (mutation-positive 54.3% vs 42.4%, p=0.043).

 

No correlation was observed between the presence of truncating and non-truncating AIP mutations and the size of the pituitary adenoma, the incidence of macroadenoma or the propensity to invade extrasellar structures (19).

 

APOPLEXY PROPENSITY   

 

Pituitary apoplexy is a relatively rare event; incidence is variously estimated to be as high as 6.8% (in 560 adenoma cases) (29) to as low as 0.6% (in 664 adenoma cases) (30). In a previous study, it was shown that apoplexy occurred more commonly in individuals with AIP mutation-positive tumors than those with mutation-negative tumors (7.6% vs 1.3% of cases respectively) (19). No size difference was observed between tumors that did and those that did not undergo apoplexy in the AIP mutation-positive tumor group (19). Excluding simplex cases from these analyses (i.e. just considering patients with a family history of pituitary adenomas) demonstrated an even bigger disparity in apoplexy incidence with AIP mutation-positive tumors having an apoplexy rate of 10.6% vs 2.3% in mutation-negative families (19). The latest data from the international FIPA consortium has shown similar rates of apoplexy (8.2% vs 3.6% respectively, p=0.009) (12). Familial apoplexy has also been described in AIP mutation-positive families (19, 31). It was previously observed that GH-secreting tumors with AIP mutations were significantly more likely than their mutation-negative counterparts to undergo apoplexy (19) and this has been demonstrated once again (8.3% vs 2.8% p=0.005) (12). The mechanism for this observation is unclear.

 

Treatment Resistance

 

Many of the somatotrophinomas described in FIPA families have been described as sparsely granulated adenomas (1), a subtype which has been previously suggested to respond less well to somatostatin analogues and to be more aggressive (32, 33). Sparsely granulated adenomas occur more commonly in AIP mutation-positive GH-secreting adenomas than in their mutation-negative GH secreting counterparts (19). In one study (12), all of the AIP mutation-positive somatotrophinomas were sparsely granulated, compared to 68% in the AIP mutation-negative group (p<0.001).

 

There is speculation that somatostatin analogues mediate their anti-proliferative effects through AIP up-regulation, which in turn increases the expression of ZAC1, a tumor suppressor gene known to be upregulated by somatostatin analogues  (34, 35), therefore, dysfunction at the AIP step would reduce the expression of ZAC1 and so the usefulness of this class of drug (36).  Another potential mechanism for this treatment resistance involving defective Gαi signaling has been postulated and is discussed in detail below.

 

It has previously been observed that AIP mutation-positive tumors are more difficult to treat - mutation-positive somatotrophinomas undergo less shrinkage and there is a smaller reduction in GH production with first generation somatostatin analogues than in the mutation-negative sporadic patients (1, 20, 28, 37). This may be accounted for by a relative paucity of expression of SSTR2 in the former (38); however, in human samples rather, a higher level of SSTR2 was found (36), and this is also seen in a pituitary Aip-knockout mouse model (39, 40). A greater need for re-operation after initial surgery and a greater use of multiple therapies and >2 types of therapy, including radiotherapy (12) and the failure of pegvisomant to control IGF-1 (20) have also been described. However, some studies (19) failed to demonstrate any difference in the number of therapeutic interventions between AIP positive and negative mutation tumors. Where primary surgery has failed to control the tumor’s GH production, there is some evidence that pegvisomant (37, 41), or pasireotide in patients whose tumor expresses the type 5 somatostatin receptor (38, 42), may reduce the IGF-1 burden.  In some cases, drastic treatment is necessary: for example, in the youngest known case, who presented at the age of 4 years-old, surgery followed by first generation somatostatin analogue, temozolomide, bevacizumab, radiotherapy, pegvisomant, gamma knife therapy and somatostatin analogue combined with increasing dose of pegvisomant, was necessary (43).

 

No correlation was observed between the presence of truncating and non-truncating AIP mutation tumors and the number of treatment modalities required by these patients (19).

 

In addition to sparsely granulated histopathology, other well-known predictive factors of resistance to first generation somatostatin analogues are younger age at diagnosis, hyperintense T2 image on MRI, and low tumor expression of somatostatin receptor subtype 2 (44). Recently, a machine-learning based model accounting for age at diagnosis, sex, pretreatment GH and IGF-1 levels, tumor granulation pattern and expression of somatostatin receptor subtypes 2 and 5 was shown to predict therapeutic response to first generation somatostatin analogues with high negative and positive predictive values (45).

 

Currently, some experts already suggest that the first-line medical treatment for patients that show one or more of these features could be pegvisomant or pasireotide; and that pegvisomant could be preferred in patients with diabetes or low somatostatin receptor subtype 5, whilst pasireotide could be preferred in the presence of significant tumor volume (44). Therefore, in select cases, these two drugs could be considered early in postsurgical medical therapy in patients with persistent disease, especially in younger patients with ongoing uncontrolled height gain, as seen in patients with AIPmutations.

 

Hormone Secretion

 

When matched with acromegaly mutation-negative controls, AIP mutation-positive somatotrophinomas produce more growth hormone (GH) (20) but there was no difference in the levels of IGF-1 (12, 20). Prolactin co-secretion was more common in AIP mutation-positive GH secreting tumors than their non-AIP mutated counterparts (19).

 

Gigantism was observed to be more common among AIP mutation-positive patients (55.9% vs 18.2%, p=0.005) and was the most common clinical diagnosis (12) – which is predicted by their earlier onset of disease, with cases in males predominating in both AIP positive and negative patients (19): 60% of FIPA families in one study had at least one case of gigantism and instances of two cases of gigantism within the same family only occurred in AIP mutation-positive families (19).

 

No correlation was observed between the presence of truncating and non-truncating AIP mutations and the incidence of GH secreting tumors (19); however, there was a significantly greater prevalence of gigantism amongst the GH secreting tumor patients in those with truncating as opposed to non-truncating AIP mutations (54.7% vs 30%). There is also a suggestion that patients with GH-secreting adenomas and the truncating R304* mutation present more commonly at a very young age then rest of the described AIP mutation-positive population with GH secreting adenomas.

 

A previous case report described the co-existence of pituitary hyperplasia and pituitary adenoma in two AIP mutation-positive adenomas from a family. Loss of heterozygosity was seen in the adenoma tissue but not in the surrounding hyperplastic tissue and loss of AIP protein expression was seen in the adenoma tissue with preservation of AIPexpression in the hyperplastic tissue (46). Villa and colleagues hypothesize that this may demonstrate that tumorigenesis is a multi-stage event starting with hyperplasia in haploinsufficient tissue and then the development of further genetic events (including loss of the one remaining wild-type AIP allele) leading to true adenoma formation. They suggest that this could explain the incomplete penetrance seen in pituitary disease in AIP mutation-positive subjects (46).

 

In GH-secreting non-AIP mutated sporadic pituitary tumors, an association was noted between the levels of AIP staining on histology and the aggressiveness of the adenoma. Low levels of AIP staining were associated with a more aggressive phenotype (higher Ki-67 index and a greater likelihood of suprasellar tumor extension) when compared to tumors with higher levels of AIP staining. In the same tumors, none of those with low AIP staining showed significant shrinkage despite pre-operative treatment with a somatostatin analogue. Tumors treated pre-operatively with somatostatin analogues that did shrink showed a higher level of AIP on immunohistochemistry (47).

 

No difference in rates of hypopituitarism was seen between AIP mutation-positive and negative patients with pituitary adenomas at diagnosis (12).

 

Other Tumors in Individuals with an AIP Mutation

 

In one study (19) involving 290 AIP mutation-positive individuals (some with pituitary adenomas), there were 10 cases of tumors occurring outside of the pituitary gland in 9 individuals. These included a gastrointestinal stromal tumor, glioma, meningioma, non-Hodgkin’s lymphoma, and spinal ependymoma. Parathyroid adenomas were excluded from this analysis due to the rare finding of AIP mutations in parathyroid adenomas (48), as were colonic polyps and thyroid nodules due to their frequent occurrence in patients with acromegaly (19). Four of the 9 individuals with extra-pituitary tumors had GH-secreting pituitary tumors, the other 5 were AIP mutation carriers without pituitary tumors.

 

While AIP acts as a tumor suppressor gene in the pituitary gland, and patients with pituitary tumors show heterozygous loss-of-function mutations of AIP, a possible role for AIP as an oncogene has been described in other tumor types. To date, increased expression of AIP was found in association with increased tumorigenic and metastatic properties of colorectal cancer cells (49), with increased survival of primary diffuse large B cell lymphoma (DLBCL) cells (50), and with a bad prognosis in cholangiocarcinoma (51). In colorectal cancer, increased AIP expression was associated with increased cell migration and epithelial-to-mesenchymal transition, possibly by the facilitation of N-cadherin expression and suppression of functional E-cadherin on the cell surface (49). On the other hand, for DLBCL, AIP promoted tumor survival by reducing ubiquitin-mediated proteasomal degradation of BCL6, a protein that reduces the transcription of pro-apoptotic genes such as TP53 and that is frequently overexpressed in DLBCL (50).

 

Therefore, AIP behaves as a double agent, either as a tumor suppressor or as an oncogene, and further studies on AIP regulation mechanisms will be essential for a better understanding of AIP derived tumorigenesis and for unravelling new possible therapeutic targets (52).

 

THE GENETICS OF FIPA

 

The currently known genes causing FIPA are AIP and GPR101 and we will discuss the diseases associated with these genes in detail. Furthermore, there are some pituitary adenoma cases described with other germline mutations, that will be more briefly addressed, as they are still under investigation and require additional validation.

 

AIP

 

There are over 100 heterozygous mutations identified in AIP, showing an autosomal dominant inheritance pattern with incomplete penetrance (53). Mutations that affect the AIP gene commonly lead to truncated or missing protein due to nonsense mutations, small deletions or large deletions, insertions, splicing or promoter mutations, while 21% result in full length mutated protein due to missense mutations or in-frame deletions or insertions (Figure 4). Large deletions cannot be identified with Sanger sequencing and other technologies, such as MLPA, or next generation sequencing methods are required to identify them.

 

Figure 4. Distribution of mutation types found within the AIP gene in the International FIPA consortium (12).

Figure 5. The three-dimensional structure of the AIP protein. Three characteristic tetratricopeptide (TPR) domains, the A and B helices of the first TPR domain, orange, TPR2 blue. TPR3 green and the 7th C-terminal alpha helix with light blue (54, 55).

 

The AIP protein is a well-conserved molecular chaperone, with multiple binding partners. It has three tetratricopeptide (TPR) repeats, conserved anti-parallel pair of alpha helices and a final 7th alpha helix at its carboxyl terminal end (Figure 5). This C-terminal section is known to be important for interaction with other proteins and therefore, it is postulated, that in the case of FIPA it loses its ability to bind its binding partners, such as the aryl hydrocarbon receptor (AHR) or phosphodiesterase (PDE) subtype 4A5, and therefore loses its activity as a tumor suppressor (56).

 

There are a few mutational hotspots, the majority affecting CpG sites, where a mutation has been identified in several independent patients or families (Table 1).

 

Table 1. A Few Examples of AIP Mutation ‘Hotspots’

Variant

References (examples)

c.910C>T; p.R304*

 

 

Cazabat et al. 2007 (57)

Daly et al. 2007 (11)

Georgitsi et al. 2007 (58)

Igreja et al. 2010 (23)

Leontinou et al. 2008 (28)

Variglou et al. 2009 (59)

Vierimaa et al. 2006 (16)

Chahal et al. 2011 (60)

Hernandez-Ramirez et al. 2015 (19)

Ramirez Rentaria et al. 2016 (26)

Marques et al. 2020 (12)

c.811C>T; p.R271W

Daly et al. 2007 (11)

Jennings et al. 2009 (61)

Hernandez-Ramirez et al. 2015 (19)

c.721A>T; p.R81*

Leontiou et al. 2008 (28)

Toledo et al. 2010 (62)

Hernandez-Ramirez et al. 2015 (19)

Marques et al. 2020 (12)

 

AIP Mouse Models

 

AIP knockout in mice is lethal in utero and is associated with ventricular septal defects, double outlet right ventricle and pericardial edema (63). The embryonic mice are also unable to undergo a crucial step in initiating adult erythropoiesis at E11-14, a step which is vital for embryonic survival beyond E13.5 (64). This suggests that AIP may have an important role to play in fetal growth signaling in utero.

 

Heterozygote AIP knockout mice invariably develop mostly GH-secreting pituitary tumors, with 100% penetrance by the age of 18 months, compared to wild-type mice where around 1/3 of mice spontaneously developed prolactin-secreting adenomas, but no GH adenomas are observed (65). AIP expression was lost in these GH-secreting tumors and this corresponded to higher tumor proliferation rates (65), compared to spontaneous pituitary adenomas in the wild-type littermates, with normal AIP expression. These data mirror the increased aggressiveness of tumors seen in mutation-positive FIPA families (11, 20, 23, 28). ARNT expression was also lost in the mouse tumors (65), reflecting a pattern observed in human mutation-positive tumors (66) and therefore suggesting a possible role for loss of ARNT in the development of pituitary tumors (65). Somatotroph-specific AIP deficient mice (sAipKO) have also been created, using Cre/Lox and Flp/Frt technology (67). In keeping with the heterozygote AIP knockout mice described above, >80% of the sAipKO mice developed GH secreting adenomas by 40 weeks of age, by 18 weeks they also displayed elevated IGF-1 and GH levels, increased body and organ size (compared to control animals) and glucose intolerance. Pituitary hyperplasia was consistently observed in the sAipKO mice (on histology and on MRI imaging), suggesting (but not absolutely proving) a progression from hyperplasia to adenoma. The investigators point out that 40 weeks of age for a mouse represents ‘middle adulthood’ and so hypothesize that, in common with other tumors, additional somatic mutations are required on top of the AIP loss of function for somatotroph tumors to occur (67). A pituitary-specific Aipknockout using the Hesx1/Cre model has also developed gigantism with elevated IGF-1 levels (40).

 

ARNT knockout mice die in utero in early gestation (68, 69): the reasons for this are disputed, in one study it appeared that there was faulty angiogenesis in the yolk sac (69), whilst in another the embryos survived slightly longer and had a normally developed yolk sac vasculature but the placental vasculature failed to develop correctly. The embryos in the latter study also displayed a range or anomalies, including neural tube closure defects, brain hypoplasia and placental hemorrhage (68). It has been hypothesized, therefore, that ARNT plays a role in angiogenesis in response to hypoxia secondary to the increasing tissue mass in embryonic development (69).

 

Ahr knockout mice are viable, though they too suffer physiologic dysfunction, including cardiac hypertrophy (with cardiac myocyte enlargement but without the molecular signatures that would indicate cardiac overload) and subsequent cardiomyopathy (70). These mice also have hypertension (71), reduced body weight, reduced reproductive capabilities, smaller livers as a result of a patent ductus venosus, persistence of fetal vascular and liver parenchymal structures and aberrant vasculature in the kidneys. This underlines the importance of AhR signaling mechanisms in the development of a normal, mature vasculature (72).  AhR protein-protein interactions were further characterized, with one of the most interesting interactions being with the mitochondrial protein MRPL40 (73), which codes for a mitochondrial ribosomal 39S subunit. Deletions in this gene have been associated with the 22q11.2 deletion syndromes Velo-cardial facial syndrome and Di George syndrome (OMIM #188400), both of which involve congenital cardiac malformations, further suggesting the importance of AhR in normal cardiac development.

 

It has been suggested that interplay between AhR and ARNT/HIF1α may govern normal vascular development (72).

 

MECHANISM OF TUMORIGENESIS IN PITUITARY ADENOMAS WITH AIP MUTATIONS

 

In the pituitary, AIP is a tumor suppressor, and truncating mutations presumably lead to loss of function mutations. However, for missense mutations change in protein folding or loss of partner protein binding sites could explain the lack of function. Based on data from half-life studies, (74) it seems that a significant proportion of the missense mutations lead to unstable proteins and rapid degradation explaining the loss of function. Furthermore, in vitro measured half-life of missense proteins correlated well with age of onset of disease. (74)

AIP interacts with numerous other molecules (see Table 2), full details of each of these interactions has recently been summarized (56).

 

Table 2. A List of Factors that Have Been Demonstrated to Interact with the AIP Protein (56)

Viral Proteins

Hepatitis B Virus X protein (HBV X)

Epstein Barr Virus Nuclear Antigen 3 (EBNA3)

AIP-AHR-Hsp90 Complex

Aryl Hydrocarbon Receptor (AHR)

Heat Shock Protein 90 (Hsp90)

Heat Shock Cognate 70 (Hsc70)

Aryl Hydrocarbon Receptor Nuclear Translocator (ARNT)

p23

AIP self-association

Cytoskeletal Proteins

Possible interaction with actin

Tubulin (75)

Phosphodiesterases

PDE4A5

PDE2A3

Nuclear Receptors

Estrogen Receptor α (ERα)

Glucocorticoid Receptor (GR)

Peroxisome Proliferator-Activated Receptor α (PPARα)

Thyroid Hormone Receptor β1 (TRβ1)

Transmembrane Receptors

RET

EGFR

G Proteins

Translocase of the Outer Membrane of Mitochondria (TOMM20) Proteins (64)

Survivin (64)

Cardiac Troponin Interacting Kinase 3 (TNNI3K)

Protein Kinase A (76)

 

The exact mechanism by which AIP mutations lead to pituitary tumor formation is unclear; however, several theories have been put forward. AHR is widely expressed in the body and binds numerous compounds, both endogenous and exogenous (77, 78). It is a nuclear transcription factor and prior to ligand binding it is found in the cellular cytoplasm, bound to AIP (77, 78). It is known that AHR is a receptor for environmental pollutants, such as dioxin – a known carcinogen. The binding of dioxin leads to increased AHR nuclear translocation, with activation of detoxification mechanisms (79), including increased expression of the enzyme CYP1A1, which has also been shown to bio-activate polycyclic aromatic hydrocarbon carcinogens (80, 81). Interestingly, an increase of acromegaly incidence (82) has been described in a heavily polluted industrial area. Pituitary adenoma incidence was also studied in an area heavily polluted with dioxin after a chemical factory accident, but data were not sufficient to draw appropriate conclusions (83). A recent follow-up study (84) examined links between the characteristics of patients with GH-secreting pituitary adenomas, residing in an area of high pollution and AHR/AIP variants. It was found that pituitary tumors were significantly larger and IGF-1 burden significantly greater in patients with AHR/AIP gene variants who lived in polluted areas compared to either those who had no gene variants and lived in the same highly polluted areas or those who had gene variants but lived in cleaner areas. Further, the use of somatostatin analogues in patients with GH-secreting pituitary adenomas, who also had AHR/AIP gene variants and lived in highly polluted areas, seemed to be less effective (IGF-1 only normalized in 14%). Overall, the reduction in GH/IGF-1 levels did not reach statistical significance. GH secreting pituitary patients with no AHR/AIP variants had a statistically significant reduction in GH/IGF-1, as did those without gene variants living in polluted areas (IGF-1 normalized in 54-56% of cases).  These data need confirmation.

 

Fibroblasts with heterozygous AIP mutations taken from patients have lower AIP protein levels (probably through nonsense-mediated decay of truncated proteins (74)) compared to wild-type fibroblast controls, but AHR expression is unaffected. However, AIP mutation did result in altered regulation of the AHR transcriptional target CYP1B1, both with and without AHR ligand stimulation (85). The mechanism by which this happens and therefore the role of AHR in signaling in pituitary tumorigenesis is still to be elucidated.

 

It has been noted that the loss of function of the AIP gene allows dysregulated ERα mediated gene transcription by its disinhibition (86). Cumulatively, high levels of estrogen and therefore estrogen mediated gene transcription products have been associated with an increased risk of developing various tumors, including pituitary tumors (86, 87) and so this work provides a novel avenue for investigation into pituitary tumorigenesis.

 

In the previous years, the role of cAMP elevation in pituitary tumors has been further investigated - It had previously been noted that cAMP levels were elevated in a subset of pituitary tumors (88). cAMP is a mitogenic factor in somatotroph cells, this therefore suggests a link between its dysregulation and tumor growth (89, 90). AIP is known to be a binding partner of some of the phosphodiesterases. AIP binding to PDE4A appears to inhibit its phosphodiesterase activity; however, this did not appear to prevent the cell’s in vitro ability to reduce forskolin-induced cAMP driven transcription. Therefore, it was felt unlikely that AIP-phosphodiesterase was the mechanism for cAMP elevation in pituitary tumors (91).  The same study also hypothesized that  AIP’s interactions with other binding partners is vital in its role of reducing cAMP, as R304* mutant AIP transfected cells (which produces a truncated AIP protein, losing its protein-interacting C-terminal) were not able to reduce  cAMP signaling in the same way that  wild-type AIP transfected cells could (91).  This correlated with reduced GH secretion after forskolin stimulation in the wild-type AIP cells, but not in the AIP mutant cells (91).

 

Disordered cAMP regulation is also seen in McCune Albright syndrome – where there is a mutation of the GNAS1 gene which results in a constitutionally active Gαs and raised cAMP (92), and Carney complex (93) – where there is an inactivating mutation in the PRKAR1A gene, a subunit of Protein Kinase A (PKA), a cAMP dependent kinase (94).There is evidence that AIP interacts with some of the subfamily protein of Gα (95), providing a possible way through which AIP can influence intracellular cAMP levels. To investigate this further, Tuominen et al. (96) developed an immortalized fibroblast cell line from the embryos of an AIP knockout mouse. AIP knockout in the mouse embryonic fibroblasts (MEFs) cell line resulted in higher cAMP level with a 2-3 times increase the AIP knockout cells. This result was concordant with AIP knockdown in a rat pituitary tumor cell line, with an observed 20-30% rise in cAMP levels.

 

Figure 6. Role of G alpha Inhibitory Protein. (A) - cells with normally functioning G alpha inhibitory protein (Gai-2) respond to stimulation of the somatostatin receptor (SSTR) by somatostatin (SST) by inhibiting the action of adenylyl cyclase, reducing the cell's secretory and proliferative capabilities. The role of AIP in this process is unknown, but cells with defective/absent AIP (B) also have a reduction in Gai-2 and so a lack of response from SST binding to SSTR with resulting disinhibition of adenylyl cyclase and increased GH secretion and cell proliferation.

 

Sequential knockdown of the Ga subfamily of proteins (Ga12, Ga13, Ga11, Gaq, Ga14, Ga15, and Gas,) produced only a significant reduction in cAMP levels in AIP knockout mouse cells when Gas and Ga13 were knocked down, although this effect was not sufficient to explain the observed difference in cAMP levels between AIP knockout and wild-type cells (96). Sequential knockdowns of the Ga inhibitory subfamilies (Gai-1, Gai-2, and Gai-3) was also performed. Gai-2 and Gai-3 knockdown caused a rise in cAMP levels by 77% and 115% respectively in wild-type MEFs, but minimal changes in the cAMP levels in AIP knockout cells. This was interpreted as evidence of a pre-existing defect in the Gai system of the AIPknockout cells (96) (Figure 6).

 

Immunohistochemical staining was subsequently performed on human somatotrophinomas which showed a reduction in the Gai-2 expression in AIP mutation-positive tumors compared to mutation-negative tumors (96, 97). No difference was observed in the expression of Gai-3 between the two types of tumors (96).

 

These findings may also explain the observed phenomenon whereby AIP mutation-positive tumors appear to respond poorly to somatostatin analogue treatment, as somatostatin receptors mediate reduction in cAMP levels through the Gaisystem (98), particularly through Gai-2 and therefore defective Gai signaling in AIP mutation-positive tumors maybe abrogate the effect of these drugs (96).

 

There is also in vitro evidence that AIP may play a role in reducing PKA activity through binding to its subunits (catalytic Cα and regulatory R1α). It was shown that AIP is able to interact with these two subunits, either as part of the PKA complex or separately. Cα stabilizes AIP and also R1α.  Overexpression of AIP lowered PKA activity, perhaps through inhibition of Cα or through the stabilization of the inactivating Cα-R1α complex. AIP overexpression also led to lower levels of Cα in the nucleus. Conversely, AIP silencing led to an increase in PKA activity. AIP’s interaction with these subunits is partly mediated by its c-terminal and so this may explain why common AIP truncation mutations (such as R304*), which affect this region, have a shorter protein half-life. It is hypothesized that this would then lead to lower intracellular AIP levels and may contribute to tumorigenesis through increased PKA activity (76).

 

The most recent and plausible mechanism relates to an interaction between AIP and the tyrosine kinase receptor RET. Although the first report on this interaction was over a decade ago (59), only recently there has been new insight about how this interaction affects tumorigenesis in the pituitary gland (99).  RET is a dependent receptor in somatotroph cells: in the absence of its ligand GDNF, the monomeric RET receptor is processed intracellularly by caspase-3, leading to PIT1 accumulation and upregulation of the RET/PIT1/ARF/p53-apoptotic pathway (99).  AIP was shown to be a key factor in the initial steps of this pathway, by forming a complex with RET/caspase-3/PKCδ, that allows for the intracellular processing of RET. In the absence of AIP or in the presence of pathological mutations in AIP, there is an inhibition of RET-induced apoptosis, that may be a key feature in somatotroph hyperplasia and adenoma formation (99).  However, PIT1 is a transcription factor that is present in somatotroph, lactotroph and thyrotroph cells; therefore, despite previous studies focusing mostly in somatotroph tumors, the same pathway is probably involved in other tumor types, such as prolactinomas (99), and this seems to be the explanation for the tissue specificity of AIP mutations. In line with this finding, the reported pituitary tumors in patients with AIP mutations are mostly GH and/or prolactin secreting tumors, but also clinically non-functioning adenomas with positive GH and/or prolactin immunostaining and, in one case, thyrotropinoma (12, 20, 100). There have been no unequivocal cases of corticotrophinomas or gonadotroph adenomas in patients with pathological AIP mutations. This extraordinary finding may pave the way for new therapeutic options in sporadic and familial cases of pituitary tumors with AIP mutations.

 

The increased tendency of AIP mutation-positive tumors to invade locally may be a result of an altered tumor microenvironment. One study (40) observed markedly more infiltration of tumors by macrophages in human AIP mutation-positive adenomas compared to sporadic somatotroph tumors. There was also an upregulation in the tumor-derived cytokine, CCL5, which is chemotactic for leukocytes. The macrophages themselves may play an important role in breaching local structures with their secretion of matrix metalloproteinases (MMP2 & 9) (101). Gene expression profiling experiments comparing AIP mutation-positive human pituitary adenomas to sporadic human pituitary adenomas showed a partial epithelial to mesenchymal transition pattern in keeping with a tumor that invades locally but exceedingly rarely metastasizes (40). In recent years, intensive research on pituitary tumor microenvironment has expanded our knowledge on pituitary tumor behavior and tumorigenesis mechanisms and raised the possibility for immunotherapy in aggressive and refractory pituitary tumors (102).

 

In contrast, few studies have focused on the mechanisms of AIP regulation. miR-34, a microRNA that binds to the 3-UTR region of AIP, was shown to be overexpressed and to downregulate AIP at the protein level in sporadic somatotrophinomas with low AIP expression (103) and in somatotrophinomas due to germline AIP mutations (104). Additionally, the high expression of miR-34 is one of the mechanisms driving the increased intracellular cAMP levels seen in AIP mutation-positive tumors (104). Thus, overexpression of miR-34 promotes cell proliferation and migration and may be responsible for the invasive phenotype and typical resistance to first generation somatostatin analogues seen in these tumors (103, 104). Recently, a regulation of AIP at the transcription level was also proposed. GTF2B, a transcription factor that binds the 5-UTR region of AIP, was shown to promote AIP expression and inhibit somatotroph cell proliferation and invasion (105).

 

AIP Mutations and Associations with Other Tumors

 

Germline AIP variants (R304Q, this variant is controversial, likely to be benign) were noted in sporadic parathyroid adenomas in 2 (unrelated) out of 136 patients in one study. One of these patients had a co-existent MEN1 mutation; both had reduced AIP staining in their tumors at histology (48). Concomitant AIP and MEN1 deletions through chromosomal translocations with a variety of partners are also associated with hibernomas (benign brown fat tumors). AIP transcription is down-regulated in these tumors (106) and its loss results in the upregulation of the brown fat marker UCP1 (107). Two patients from different FIPA kindreds, carriers of germline pathogenic mutations in AIP (Leu115Trpfs*41 and p.Q285*) with unaffected pituitary, were described to have follicular thyroid carcinomas showing loss of heterozygosity in the AIPlocus in the tumor tissue (42, 108), raising the possibility for a role of AIP mutation as an initiating event in both pituitary and thyroid. However, differentiated thyroid carcinoma (DTC) is rare in acromegaly, and the most frequent tumor mutations found in patients with known pathogenic AIP mutations are very similar to the ones found in sporadic cases, mostly comprising mutations of BRAF and NRAS (108). Therefore, the potential role of AIP mutations as a possible rare initiating event on the pathogenesis of DTC, although unlikely, requires further investigation.

 

OTHER POSSIBLE CANDIDATE GENES

 

Currently, only two well-characterized genes have been implicated in the pathogenesis of FIPA: AIP, the most common one, and GPR101. However, they only account for a minority of patients with FIPA, while other genes remain largely unknown.

 

At present, the genetics of familial and apparently sporadic pituitary tumors is under active investigation and some new candidate genes have been identified, but additional data is required to convincingly support them as a possible cause of FIPA.

 

Recently, germline loss of function mutations in the peptidylglycine α-amidating monooxygenase (PAM) gene were described in one family with pituitary gigantism and in multiple sporadic cases of several types of pituitary adenomas (18). PAM plays an important role in post-translational processing and secretion of hormones and is highly expressed in all pituitary cells, but the mechanisms linking its altered function with hormone hypersecretion still require clarification. Also, the fact that some of the identified PAM variants were relatively common, and that no deleterious variants were identified in other familial cases from 17 FIPA kindreds in the validation cohort raises some reasonable doubts. Therefore, additional studies in FIPA kindreds are required to further explore and validate this new candidate gene.

 

Another gene, described in sporadic corticotrophinomas, is CABLES1. Heterozygous germline mutations in CABLES1appear to decrease the negative feedback response from glucocorticoids, resulting in increased corticotroph cell growth. They were identified in two young adults, two children with Cushing’s Disease, and in one unaffected parent (109); but, to date, there have been no reports of possible familial cases with this mutation. Cushing disease is only rarely described in FIPA families, mostly in kindreds with heterogeneous tumor types (19). In homogenous corticotroph adenoma families no CABLES1 mutation has been identified (Korbonits unpublished observation). Corticotrophinomas have not been reported in kindreds with AIP mutation (19), and this is also in line with the recently described RET-derived AIP tissue specificity for PIT1 expressing cells (99).

 

A gain of function mutation in PRLR has been described in association with sporadic and familial prolactinomas (110), but additional data is needed to convincingly reinforce that association. Other germline mutations have also been associated with familial pituitary tumors (RXRG, TH, CDH23)(53, 111, 112), but lack functional validation studies as well as independent confirmation to support them as possible candidates involved in the pathogenesis of FIPA (113).

 

Additional conditions with excess GH in the absence of pituitary tumors have been described, and include germline mutations in genes such as IGSF1 and NF1.

 

IGSF1 is a transmembrane glycoprotein that is highly expressed in the anterior pituitary and hypothalamus, and that is considered essential for normal hormone production (114-116). Loss-of-function mutations in IGSF1 have been associated with an X-linked syndrome of central hypothyroidism and a variable prevalence of other endocrinopathies, including disharmonious pubertal development with delayed testosterone rise but normal or advanced testicular growth and postpubertal macroorchidism, hyperprolactinemia and GH dysregulation (114, 117). A minority of male children with such mutations show partial and transient GH deficiency, while adults more often show high IGF-1 levels, a 2- to 3-fold increase in GH pulsatile and basal secretion and mild acromegaloid features (117, 118). Similar features of GH excess were observed in mice (117). A potentially pathogenic variant in IGSF1 was described in three individuals from the same family showing somato-mammotroph hyperplasia or tumor and gigantism (115), but, to date, most case series of patients with IGSF1 mutations have consistently showed normal height and no evidence of pituitary tumors (116, 117, 119). It has been proposed that IGSF1 acts as a regulator of pituitary hormone synthesis, but the mechanism behind this is still poorly understood (114, 117).

 

Pathogenic mutations in the NF1 gene lead to neurofibromin deficiency and neurofibromatosis type 1 (NF-1). NF-1 is an autosomal dominant condition with increased risk of several benign and malignant tumors, including optic pathway gliomas (OPG), that are frequently diagnosed at a young age. An association between NF-1 and increased growth velocity or tall stature due to GH excess has been described in several case series, with a prevalence ranging from 4.5% (120) to 46% (in large deletions of NF1) (121). Excess GH is diagnosed in children with NF-1 and OPG, with a prevalence of 10.9% in this patient group according to the largest series published (122). The most plausible and widely accepted mechanism to explain this association is an induced hypothalamic dysfunction from infiltrative OPG, with reduced somatostatinergic inhibition of GH secretion, corresponding to the fact that there is absence of other pituitary abnormalities in the majority of cases (123). Another suggestion is that GPR101 dysregulation may occur. However, there are some case reports of NF-1 with concomitant pituitary hyperplasia or tumor, with or without OPG, which leads to the hypothesis that GHRH overexpression may be another possible mechanism leading to excess GH (123). Nevertheless, the pathophysiology of GH excess in NF-1 remains to be clarified.

 

GERMLINE CHROMOSOMAL DEFECTS PRESENTING WITH PITUITARY HYPERSECRETION/GIGANTISM- XLAG

 

This is a unique condition described in 2014 caused by a microduplication at Xq26.3 area containing the GPR101 gene, resulting in the overexpression of the orphan G protein coupled receptor GPR101 (13). It may be familial or sporadic, and can be due to a germline or a mosaic somatic mutation (14, 15). It shows an X-linked dominant inheritance with complete penetrance. Most cases are de novo germline (female) or mosaic (males) cases, with, to date, only three kindreds described where affected mothers passed on the mutation to male offspring (124-126). It constitutes 8-10% of the cases with gigantism (125, 127), and practically all the non-syndromic infant-onset gigantism.

 

XLAG Characteristics

 

In addition to the most prominent symptom of very early-onset gigantism with significantly elevated growth velocity, acral enlargement and coarse facial features are also observed (37). Fasting hyperinsulinemia was noted in 1/3 of patients and around 20% had acanthosis nigricans (125). Elevated BMI is often observed, and up to 1/3 of patient with XLAG have increased appetite, something not noted previously in gigantism. Hyperprolactinemia accompanies the GH excess in over 80% of the cases. Three quarters of the patients are females. GHRH levels can be normal or slightly elevated, and in some patients a paradoxical response was seen to the TRH test (127).

 

Tumor Types

 

All GPR101 duplication-related pituitary tumors described so far are GH producing, with the majority also secreting prolactin. There are a few cases of pure GH excess patients, some of these with hyperplasia rather than tumor (128). A rare GPR101 germline variant (p.E308D) does not play a role in somatotrophinoma tumorigenesis based on human (127, 129, 130) and in vitro data (131).

 

Age of Onset

 

Accelerated growth has been reported as early as 2-3 months of age (125), and abnormal hormone levels started to develop soon after birth in a prenatally diagnosed case (126). The median age of onset of rapid growth is at 1 year (range 0.5-2) with a median age at diagnosis being 3 years old (range 1-22) (13, 132).

 

Somatic Mosaicism

 

It seems that male patients, except the few familial cases, in which a germline duplication is inherited from an affected mother (124-126), have mosaic GPR101 duplication with pituitary tissue (and other tissues) showing the microduplication, while blood-derived DNA is negative or has a low level of mutation burden (14, 15, 127). The phenotype of somatic and germline GPR101 duplication patients is the same (132).

 

Tumor Behavior

 

SIZE

 

The size of the pituitary is variable in XLAG cases ranges from large tumors (133) to pituitary hyperplasia (13, 14, 127). It is currently unclear why some patients develop tumors while others have hyperplasia, both have been described in males and females. While Ki-67 is low in the tumor samples in most cases and such tumors do not show any tendency to invasion or apoplexy (127), invasive growth and a high Ki-67 has also been described (126, 133).

 

HORMONE SECRETION

 

Xq26.3 microduplication tumors invariably secrete GH and frequently also prolactin (13, 125). Random levels of GH were markedly raised in one study of 18 XLAG patients with a median of 52.5 times the upper limit of normal (range 6-300 times upper limit of normal) (125).

 

TREATMENT

 

Treatment of XLAG is complex and the tumors may grow rapidly, producing not only local effects due to their size but also causing worsening systemic manifestations of gigantism through their hormone production if not treated promptly (133). Despite widespread expression of type 2 somatostatin receptors, it has proved difficult to control GH levels in XLAG with somatostatin analogues or prolactin with dopamine agonists, even at relatively high doses. Extensive neurosurgery is often needed and effective, but the rates of post-operative hypopituitarism are high (125). In contrast, radiation therapy typically does not lead to disease control (125, 133). First generation somatostatin analogues are also usually ineffective in controlling GH hypersecretion, even in the presence of high tumor expression of somatostatin receptor 2 (125). In patients not controlled by surgery, the GH antagonist pegvisomant has proven effective in controlling IGF-1 levels (14, 41, 125, 128), but radiotherapy may be used as an alternative for tumor control if radical surgery is not possible. Patients with pituitary hyperplasia have previously been treated with hypophysectomy (134), while now combined treatment with somatostatin analogue, cabergoline and pegvisomant provides appropriate control (14). If lesion control and prolactin is not an issue, then patients can be treated just with pegvisomant (135).

 

Mechanism of Tumorigenesis in XLAG

 

It is unclear what role the hypothalamus plays and what is the role of the pituitary tissue in this disease. As some patients do not have a tumor, but produce very high level of GH, abnormal hypothalamic regulation could play a key role. Indeed, some patients have elevated circulating GHRH levels and mutated cells respond strongly to GHRH (136). GPR101 is strongly expressed in the normal pituitary during fetal development, from 19 weeks of gestation onwards, with levels declining through to ‘very low’ in adult life, suggesting a role in pituitary maturation (137). It is strongly over-expressed (both mRNA and protein) in the pituitary lesions of XLAG patients (131, 138). A recent paper has identified the mechanism for this. The duplication disrupts the regulatory region borders around the GPR101 gene (the so-called topologically associated domain or TAD) and this leads to overexpression of GPR101 by regulatory elements that normally do not regulate the expression of this gene (139). Therefore, XLAG is the first endocrine TADopathy. GPR101 has been shown to strongly activate the cAMP pathway. This therefore suggests a mechanism by which its overexpression may lead to tumorigenesis. The transient overexpression of GPR101 in GH3 rat pituitary tumor cells produced increased cellular proliferation and an increase in GH secretion, supporting this hypothesis (13).

 

MICRODELETION CAUSING GHRH OVEREXPRESSION

 

This novel condition, described for the first time in 2023 (17), is another genetic cause of severe non-syndromic infant-onset gigantism. It is caused by a heterozygous microdeletion upstream of the GHRH gene, in chromosome 20, that leads to aberrant splicing and produces a chimeric mRNA consisting of exon 1 of the TTI1 gene followed by all the coding exons of the GHRH gene. Since TTI1 is ubiquitously expressed and exon 1 has features of an active promotor, this fusion gene leads to constitutive GHRH overexpression and ectopic production of GHRH. There is only one case described so far, in a Japanese woman, that unfortunately already passed away. Her clinical phenotype was very similar to X-LAG, with significant weight gain starting a few months after birth and rapid growth diagnosed in the first years of life. She had marked GH elevation, prolactin elevation and no evidence of pituitary tumor in the MRI. She had no familial history of tall stature. Treatment with radiotherapy and bromocriptine did not ensure a complete biochemical response and the patient reached an adult height of 197.4 cm. Genome-edited mice with this mutation exhibited the same phenotype of prominent growth starting in the first weeks of life, pituitary hyperplasia and GHRH expression in several tissues besides the hypothalamus, validating the hypothesis that pituitary gigantism was driven by constitutive GHRH overexpression due to an acquired promoter.

 

CLINICAL MANAGEMENT IN FIPA

 

Pituitary adenoma patients with family members also with pituitary adenoma need to be studied for signs and symptoms of MEN1 and Carney complex (Figure 7). If MEN1 and Carney complex are ruled out by the family history and biochemical and clinical assessment of the index patient and family members, the diagnosis of FIPA needs to be considered. These patients would benefit from referral to genetic counselling. Currently, patients can be offered screening for AIP mutations. Childhood-onset pituitary adenoma cases, even without family history, should also been offered genetic counselling and screening for AIP mutation, as a high percentage of young-onset GH-secreting adenomas show mutations in the AIP gene (20, 60, 140, 141). Around 12% of patients diagnosed with a pituitary tumor before the age of 30 years (and 20% of pediatric patients) were found to have a germline AIP mutation in one study (142) and so it has been recommended that AIP mutation screening be conducted in anyone diagnosed with a somatotroph or lactotroph adenoma or a macroadenoma (diameter >10mm) before the age of 30 years (143), and also in any cases of gigantism. One study which examined the incidence in apparently sporadic young-onset pituitary adenoma patients found 6.8% to have an AIP mutation, with a slightly lower incidence of 10.5% in those sporadic patients with somatotrophinomas. Reassuringly, the incidence of mutation in sporadic prolactinoma was only 1.5% (12).

 

Those diagnosed with a pituitary tumor after the age of 40 years are unlikely to have a germline mutation (none were found in a sample of 443 patient with pituitary adenomas of all histiotypes) (57) and so screening in this latter population is likely to be unrewarding.

The phenomenon of phenocopy needs to be kept in mind both in AIP mutation-positive and AIP mutation-negative families (16, 23).

 

Figure 7. Proposed strategy for evaluating the patient with pituitary adenoma with (A) – negative family history and (B) – positive family history (*rare case report).

It is suggested that family members of an AIP mutation-positive proband should undergo genetic testing (Figure 8 suggests a strategy for this process), though this testing may involve significant numbers of people from the affected family and is probably best carried out in genetic centers that are able to arrange testing and counselling of many people, have experience of discussing results of screening, and can maintain family registers (22). Salivary DNA testing is available for those that are needle-phobic.

 

Figure 8. A proposed strategy for family screening in a family with an AIP mutation-positive proband. *Family member are first degree relatives of those with AIP mutations, or of obligate carriers. Further screening targets are then identified through genetic testing.

 

AIP mutation carriers should be referred to an endocrine service (pediatric or adult) for baseline assessment (clinical examination, biochemical testing, and MRI) (141). MRI can be delayed for young children if clinical and biochemical results are normal (143).  Children aged 4 years and older should be evaluated annually, with height and weight measurements, height velocity, and pituitary function testing (143). The frequency of imaging surveillance if biochemical and clinical findings are normal is difficult to judge with the available data: every 5 years was suggested until the age of 30 (143), with annual clinical assessment and basal hormone profiling (19). More recently, the emergence of an inverted-U shape pattern to the age of onset has led to the suggestion that if there is no evidence of disease at the age of 20 years, then surveillance protocols can be relaxed slightly (12).

 

The youngest case identified of AIP mutation-positive patient with a large macroadenoma with apoplexy was 4 years old with significant symptoms and rapid growth velocity already from age 3 years (43). Although only 15% of the AIP cases present symptoms before the age of 10 years (19), and the above mentioned patient is the single case known presenting before the age of 5 years, these data need to be taken into account when counselling AIP mutation-positive families for the timing of genetic screening and starting clinical follow-up (141, 143).

 

If AIP screening, which includes exons, exon-intron junction and promoter area sequencing as well as MLPA is negative, then currently no further genetic screening is possible. In AIP mutation-negative family’s potential carriers with a 50% chance inheriting the disease-causing mutation should be offered clinical assessment. The age of first clinical assessment of family members in AIP-negative families should be around early teenage years as the current youngest case was found at the age of 12 years (143).

 

We have already prospectively diagnosed several pituitary adenomas (both functioning macroadenomas and non-functioning microadenomas) in our cohort in both AIP-positive and AIP mutation-negative families (12, 60).  Screening allows the early detection and treatment of those with adenomas, perhaps before the endocrine effects become apparent or before the local effects of tumor bulk are problematic. It is important to draw the attention of the family to the possible symptoms of pituitary disease, as awareness of symptoms results in earlier diagnosis of the disease in subsequent generations (1, 11). Data on long-term follow-up of asymptomatic carriers is currently being collected. In our clinic, we see asymptomatic young (<30 years old) carriers once a year and after a normal baseline MRI we will consider a repeat MRI in 5 years. We consider relaxing follow-up at 30 years and stopping follow-up at 50 years for AIP mutation-positive family members if no tumor has been detected by this time.

 

The relatively high frequency of pituitary incidentalomas in the general population (144) also needs to be carefully considered both in AIP positive and negative cases. One paper (22) has suggested repeating an MRI pituitary and hormone testing at 6 months after the discovery of a pituitary incidentaloma in AIP mutation-positive individual with normal biochemistry, with annual hormone testing thereafter if the MRI was unchanged.

 

Those with apparently cured AIP mutation-positive tumors (but without external beam radiotherapy) should be followed up carefully as any residual pituitary tissue will be heterozygous for the AIP mutation and so there is a risk of the occurrence of further pituitary adenomas (22).

 

SUMMARY

 

FIPA is a condition where there is an inherited propensity to the development of pituitary adenomas. The causative gene for the vast majority (76%) of kindreds is unknown: 21% of these have a mutation in the AIP gene, 3% have a duplication on the X chromosome (X-linked acrogigantism, XLAG).

 

There are significant phenotypic differences between these groups, with XLAG presenting with infant-onset gigantism (range 0.5-2 years) most often with prolactin co-secretion, AIP cases presenting with childhood-onset GH or prolactin-secreting tumors, while the spectrum of AIP-negative FIPA kindred represent the full spectrum of pituitary adenoma subtypes with age of onset between the ages of 20 and 50 years with a peak incidence around the age of 30 years.

 

FIPA patients are more likely to have larger (macroadenomas), more aggressive tumors, and an earlier onset of disease compared to sporadic pituitary adenomas. AIP mutation-positive tumors are more likely to be larger and invade the extrasellar region than sporadic adenomas. It has also been observed that the AIP mutated adenomas are more prone to undergoing apoplexy than AIP mutation-negative adenomas. All XLAG tumors described so far are GH producing, with a majority also secreting prolactin. XLAG can result in a spectrum of pituitary gland appearances, ranging from large adenomas to pituitary hyperplasia. The tumors tend not to invade or undergo apoplexy.

 

AIP mutated adenomas are more difficult to treat than their non-mutated counterparts, they are more likely to be resistant to somatostatin analogue therapy, more likely to require radiotherapy, and have higher rates of failure to gain control of IGF-1 with pegvisomant treatment.

 

Treatment of XLAG is also challenging. Tumors can grow rapidly and are difficult to control even with high doses of somatostatin analogue or dopamine agonists. Pegvisomant is effective in normalizing IGF-1, while tumor control may need radical surgery or radiotherapy.

 

FIPA Diagnosis and Screening

 

The first step in trying to establish a diagnosis in patients with pituitary adenomas and with a family history of pituitary adenoma should be to exclude MEN1 and Carney complex. This can be achieved through the taking of a thorough family history and through the clinical and biochemical assessment of the index patient, and if possible other affected family members. If these conditions are excluded then the diagnosis of FIPA should be considered, and these patients should be referred for genetic counselling. Additionally, any childhood onset pituitary adenoma case (irrespective of family history), any somatotroph or lactotroph adenoma, or any macroadenoma diagnosed before the age of 30 and any cases of gigantism should all be referred for genetic counselling. No cases of AIP germline mutation were found in a large study of patients diagnosed with a pituitary tumor after the age of 40 years – and for this reason, genetic screening in this population is unlikely to be rewarding.

 

AIP mutation carriers should be referred to an endocrine service (pediatric or adult) for baseline assessment (clinical examination, biochemical testing, and MRI). MRI can be delayed for young children if clinical and biochemical results are normal. Children aged 4 years and older should be evaluated annually, with height and weight measurements, height velocity, and pituitary function testing. If biochemical and clinical findings are normal then 5-yearly MRIs until the age of 30, with annual clinical assessment and basal hormone profiling, is the suggested follow-up protocol.

 

For AIP positive families we suggest starting genetic screening as soon as the family agrees as the youngest case identified was at the age of 4 years with 1-year history of symptoms, presenting with a large macroadenoma.

 

If AIP screening, which includes exons, exon-intron junction and promoter area sequencing as well as multiple ligation probe amplification (MLPA), is negative, then currently no further genetic screening is possible. In AIP mutation-negative families, potential carriers with a 50% chance of inheriting the disease-causing mutation should be offered clinical assessment. The age of first clinical assessment of family members in AIP negative families should be around early teenage years as the current youngest case was found at the age of 12 years.

 

Prospectively-diagnosed pituitary adenomas have been shown to have a better outcome. Screening allows the early detection and treatment of those with adenomas, perhaps before the endocrine effects become apparent or before the local effects of tumor bulk become problematic. It is important to draw the attention of the family to the possible symptoms of pituitary disease, as awareness of symptoms results in earlier diagnosis of the disease in subsequent generations. In unaffected AIP mutation carriers, follow-up can be relaxed at the age of 30 years if no tumor has been detected by this time, and follow-up can cease at 50 years, based on the available data. The relatively high frequency of pituitary incidentalomas in the general population also needs to be carefully considered both in AIP positive and negative family members. One strategy involves repeating an MRI pituitary and hormone testing at 6-12 months after the discovery of a pituitary incidentaloma in AIP mutation-positive individuals with normal biochemistry, with annual hormone testing thereafter if the MRI is unchanged.

 

ACKNOWLEDGEMENT

 

We are grateful for Dr Craig Stiles (Barts Health NHS Trust, London), who contributed to the previous version of this Endotext chapter.

 

REFERENCES

 

  1. Chahal HS, Chapple JP, Frohman LA, Grossman AB, Korbonits M. Clinical, genetic and molecular characterization of patients with familial isolated pituitary adenomas (FIPA). Trends Endocrinol Metab. 2010;21:419-27.
  2. Verloes A, Stevenaert A, Teh BT, Petrossians P, Beckers A. Familial acromegaly: case report and review of the literature. Pituitary. 1999;1(3-4):273-7.
  3. Xekouki P, Pacak K, Almeida M, Wassif CA, Rustin P, Nesterova M, et al. Succinate dehydrogenase (SDH) D subunit (SDHD) inactivation in a growth-hormone-producing pituitary tumor: a new association for SDH? J Clin Endocrinol Metab. 2012;97(3):E357-66.
  4. Dénes J, Swords F, Rattenberry E, Stals K, Owens M, Cranston T, et al. Heterogeneous genetic background of the association of pheochromocytoma/paraganglioma and pituitary adenoma - results from a large patient cohort. J Clin Endocrinol Metab. 2015;100(3):E531-E41.
  5. O'Toole SM, Denes J, Robledo M, Stratakis CA, Korbonits M. 15 YEARS OF PARAGANGLIOMA: The association of pituitary adenomas and phaeochromocytomas or paragangliomas. Endocr Relat Cancer. 2015;22(4):T105-22.
  6. de Kock L, Sabbaghian N, Plourde F, Srivastava A, Weber E, Bouron-Dal SD, et al. Pituitary blastoma: a pathognomonic feature of germ-line DICER1 mutations. Acta Neuropathol. 2014;128:111-22.
  7. Uraki S, Ariyasu H, Doi A, Furuta H, Nishi M, Sugano K, et al. Atypical pituitary adenoma with MEN1 somatic mutation associated with abnormalities of DNA mismatch repair genes; MLH1 germline mutation and MSH6 somatic mutation. Endocr J. 2017;64(9):895-906.
  8. Voisin MR, Almeida JP, Perez-Ordonez B, Zadeh G. Recurrent Undifferentiated Carcinoma of the Sella in a Patient with Lynch Syndrome. World Neurosurg. 2019;132:219-22.
  9. Bengtsson D, Joost P, Aravidis C, Askmalm Stenmark M, Backman AS, Melin B, et al. Corticotroph Pituitary Carcinoma in a Patient With Lynch Syndrome (LS) and Pituitary Tumors in a Nationwide LS Cohort. J Clin Endocrinol Metab. 2017;102(11):3928-32.
  10. Nachtigall LB, Guarda FJ, Lines KE, Ghajar A, Dichtel L, Mumbach G, et al. Clinical MEN-1 Among a Large Cohort of Patients With Acromegaly. J Clin Endocrinol Metab. 2020;105(6).
  11. Daly AF, Vanbellinghen JF, Khoo SK, Jaffrain-Rea ML, Naves LA, Guitelman MA, et al. Aryl hydrocarbon receptor-interacting protein gene mutations in familial isolated pituitary adenomas: analysis in 73 families. J Clin Endocrinol Metab. 2007;92(5):1891-6.
  12. Marques P, Caimari F, Hernandez-Ramirez LC, Collier D, Iacovazzo D, Ronaldson A, et al. Significant Benefits of AIP Testing and Clinical Screening in Familial Isolated and Young-onset Pituitary Tumors. J Clin Endocrinol Metab. 2020;105(6).
  13. Trivellin G, Daly AF, Faucz FR, Yuan B, Rostomyan L, Larco DO, et al. Gigantism and acromegaly due to Xq26 microduplications and GPR101 mutation. N Engl J Med. 2014;371:2363-74.
  14. Rodd C, Millette M, Iacovazzo D, Stiles CE, Barry S, Evanson J, et al. Somatic GPR101 duplication causing X-linked acrogigantism (XLAG)-diagnosis and management. J Clin Endocrinol Metab. 2016;101(5):1927-30.
  15. Daly AF, Yuan B, Fina F, Caberg JH, Trivellin G, Rostomyan L, et al. Somatic mosaicism underlies X-linked acrogigantism syndrome in sporadic male subjects. Endocr Relat Cancer. 2016;23(4):221-33.
  16. Vierimaa O, Georgitsi M, Lehtonen R, Vahteristo P, Kokko A, Raitila A, et al. Pituitary adenoma predisposition caused by germline mutations in the AIP gene. Science. 2006;312(5777):1228-30.
  17. Katoh-Fukui Y, Hattori A, Zhang R, Terao M, Takada S, Nakabayashi K, et al. Chromosomal microdeletion leading to pituitary gigantism through hormone-gene overexpression. Hum Mol Genet. 2023;32(14):2318-25.
  18. Trivellin G, Daly AF, Hernández-Ramírez LC, Araldi E, Tatsi C, Dale RK, et al. Germline loss-of-function PAM variants are enriched in subjects with pituitary hypersecretion. medRxiv. 2023.
  19. Hernandez-Ramirez LC, Gabrovska P, Denes J, Stals K, Trivellin G, Tilley D, et al. Landscape of Familial Isolated and Young-Onset Pituitary Adenomas: Prospective Diagnosis in AIP Mutation Carriers. J Clin Endocrinol Metab. 2015;100(9):E1242-54.
  20. Daly AF, Tichomirowa MA, Petrossians P, Heliovaara E, Jaffrain-Rea ML, Barlier A, et al. Clinical characteristics and therapeutic responses in patients with germ-line AIP mutations and pituitary adenomas: an international collaborative study. J Clin Endocrinol Metab. 2010;95(11):E373-83.
  21. Drummond J, Roncaroli F, Grossman AB, Korbonits M. Clinical and Pathological Aspects of Silent Pituitary Adenomas. J Clin Endocrinol Metab. 2019;104(7):2473-89.
  22. Williams F, Hunter S, Bradley L, Chahal HS, Storr H, Akker SA, et al. Clinical experience in the screening and management of a large kindred with familial isolated pituitary adenoma due to an aryl hydrocarbon receptor interacting protein (AIP) mutation. J Clin Endocrinol Metab. 2014;99(4):1122-31.
  23. Igreja S, Chahal HS, King P, Bolger GB, Srirangalingam U, Guasti L, et al. Characterization of aryl hydrocarbon receptor interacting protein (AIP) mutations in familial isolated pituitary adenoma families. Hum Mutat. 2010;31(8):950-60.
  24. Daly AF, Jaffrain-Rea ML, Ciccarelli A, Valdes-Socin H, Rohmer V, Tamburrano G, et al. Clinical characterization of familial isolated pituitary adenomas. J Clin Endocrinol Metab. 2006;91(9):3316-23.
  25. Stratakis CA, Tichomirowa MA, Boikos S, Azevedo MF, Lodish M, Martari M, et al. The role of germline AIP, MEN1, PRKAR1A, CDKN1B and CDKN2C mutations in causing pituitary adenomas in a large cohort of children, adolescents, and patients with genetic syndromes. Clin Genet. 2010;78(5):457-63.
  26. Ramirez-Renteria C, Hernandez-Ramirez LC, Portocarrero-Ortiz L, Vargas G, Melgar V, Espinosa E, et al. AIP mutations in young patients with acromegaly and the Tampico Giant: the Mexican experience. Endocrine. 2016;53(2):402-11.
  27. Turner JJ, Christie PT, Pearce SH, Turnpenny PD, Thakker RV. Diagnostic challenges due to phenocopies: lessons from Multiple Endocrine Neoplasia type1 (MEN1). Hum Mutat. 2010;31(1):E1089-E101.
  28. Leontiou CA, Gueorguiev M, van der Spuy J, Quinton R, Lolli F, Hassan S, et al. The role of the aryl hydrocarbon receptor-interacting protein gene in familial and sporadic pituitary adenomas. J Clin Endocrinol Metab. 2008;93(6):2390-401.
  29. Wakai S, Fukushima T, Teramoto A, Sano K. Pituitary apoplexy: its incidence and clinical significance. J Neurosurg. 1981;55(2):187-93.
  30. Mohr G, Hardy J. Hemorrhage, necrosis, and apoplexy in pituitary adenomas. Surg Neurol. 1982;18(3):181-9.
  31. Xekouki P, Mastroyiannis SA, Avgeropoulos D, de la Luz Sierra M, Trivellin G, Gourgari EA, et al. Familial pituitary apoplexy as the only presentation of a novel AIP mutation. Endocr Relat Cancer. 2013;20(5):L11-4.
  32. Bhayana S, Booth GL, Asa SL, Kovacs K, Ezzat S. The implication of somatotroph adenoma phenotype to somatostatin analog responsiveness in acromegaly. J Clin Endocrinol Metab. 2005;90(11):6290-5.
  33. Stefaneanu L, Kovacs K, Thapar K, Horvath E, Melmed S, Greenman Y. Octreotide effect on growth hormone and somatostatin subtype 2 receptor mRNAs of the human pituitary somatotroph adenomas. Endocr Pathol. 2000;11(1):41-8.
  34. Theodoropoulou M, Zhang J, Laupheimer S, Paez-Pereda M, Erneux C, Florio T, et al. Octreotide, a somatostatin analogue, mediates its antiproliferative action in pituitary tumor cells by altering phosphatidylinositol 3-kinase signaling and inducing Zac1 expression. Cancer Res. 2006;66(3):1576-82.
  35. Theodoropoulou M, Tichomirowa MA, Sievers C, Yassouridis A, Arzberger T, Hougrand O, et al. Tumor ZAC1 expression is associated with the response to somatostatin analog therapy in patients with acromegaly. Int J Cancer. 2009;125(9):2122-6.
  36. Chahal HS, Trivellin G, Leontiou CA, Alband N, Fowkes RC, Tahir A, et al. Somatostatin analogs modulate AIP in somatotroph adenomas: the role of the ZAC1 pathway. J Clin Endocrinol Metab. 2012;97(8):E1411-20.
  37. Korbonits M, Blair JC, Boguslawska A, Ayuk J, Davies JH, Druce MR, et al. Consensus guideline for the diagnosis and management of pituitary adenomas in childhood and adolescence: Part 2, specific diseases. Nat Rev Endocrinol. 2024.
  38. Iacovazzo D, Carlsen E, Lugli F, Chiloiro S, Piacentini S, Bianchi A, et al. Factors predicting pasireotide responsiveness in somatotroph pituitary adenomas resistant to first-generation somatostatin analogues: an immunohistochemical study. Eur J Endocrinol. 2016;174(2):241-50.
  39. Solomou A, Herincs M, Roncaroli F, Vignola ML, Gaston-Massuet C, Korbonits M, editors. Investigating the role of AIP in mouse pituitary adenoma formation. Endocrine Abstracts; 2017; Harrogate BES2017.
  40. Barry S, Carlsen E, Marques P, Stiles CE, Gadaleta E, Berney DM, et al. Tumor microenvironment defines the invasive phenotype of AIP-mutation-positive pituitary tumors. Oncogene. 2019;38(27):5381-95.
  41. Joshi K, Daly AF, Beckers A, Zacharin M. Resistant Paediatric Somatotropinomas due to AIP Mutations: Role of Pegvisomant. Horm Res Paediatr. 2018;90(3):196-202.
  42. Daly AF, Rostomyan L, Betea D, Bonneville JF, Villa C, Pellegata NS, et al. AIP-mutated acromegaly resistant to first-generation somatostatin analogs: long-term control with pasireotide LAR in two patients. Endocr Connect. 2019;8(4):367-77.
  43. Dutta P, Reddy KS, Rai A, Madugundu AK, Solanki HS, Bhansali A, et al. Surgery, octreotide, temozolomide, bevacizumab, radiotherapy, and pegvisomant treatment of an AIP mutation positive child. J Clin Endocrinol Metab. 2019;104(8):3539-44.
  44. Lim DST, Fleseriu M. Personalized Medical Treatment of Patients With Acromegaly: A Review. Endocr Pract. 2022;28(3):321-32.
  45. Wildemberg LE, da Silva Camacho AH, Miranda RL, Elias PCL, de Castro Musolino NR, Nazato D, et al. Machine Learning-based Prediction Model for Treatment of Acromegaly With First-generation Somatostatin Receptor Ligands. J Clin Endocrinol Metab. 2021;106(7):2047-56.
  46. Villa C, Lagonigro MS, Magri F, Koziak M, Jaffrain-Rea ML, Brauner R, et al. Hyperplasia-adenoma sequence in pituitary tumorigenesis related to aryl hydrocarbon receptor interacting protein (AIP) gene mutation. Endocr Relat Cancer. 2011;18(3):347-56.
  47. Jaffrain-Rea ML, Rotondi S, Turchi A, Occhi G, Barlier A, Peverelli E, et al. Somatostatin analogues increase AIP expression in somatotropinomas, irrespective of Gsp mutations. Endocr Relat Cancer. 2013;20(5):753-66.
  48. Pardi E, Marcocci C, Borsari S, Saponaro F, Torregrossa L, Tancredi M, et al. Aryl hydrocarbon receptor interacting protein (AIP) mutations occur rarely in sporadic parathyroid adenomas. J Clin Endocrinol Metab. 2013;98(7):2800-10.
  49. Solís-Fernández G, Montero-Calle A, Sánchez-Martínez M, Peláez-García A, Fernández-Aceñero MJ, Pallarés P, et al. Aryl-hydrocarbon receptor-interacting protein regulates tumorigenic and metastatic properties of colorectal cancer cells driving liver metastasis. Br J Cancer. 2022;126(11):1604-15.
  50. Sun D, Stopka-Farooqui U, Barry S, Aksoy E, Parsonage G, Vossenkämper A, et al. Aryl Hydrocarbon Receptor Interacting Protein Maintains Germinal Center B Cells through Suppression of BCL6 Degradation. Cell Rep. 2019;27(5):1461-71.e4.
  51. Zhu H, Zhao H, Wang J, Zhao S, Ma C, Wang D, et al. Potential prognosis index for m(6)A-related mRNA in cholangiocarcinoma. BMC Cancer. 2022;22(1):620.
  52. Haworth O, Korbonits M. AIP: A double agent? The tissue-specific role of AIP as a tumour suppressor or as an oncogene.Br J Cancer. 127. England: © 2022. The Author(s), under exclusive licence to Springer Nature Limited.; 2022. p. 1175-6.
  53. Loughrey PB, Korbonits M. Genetics of Pituitary Tumours. In: Igaz P, Patocs A, editors. Genetics of Endocrine Diseases and Syndromes. Exp Suppl. 111. 2019/10/08 ed2019. p. 171-211.
  54. Morgan RM, Hernández-Ramírez LC, Trivellin G, Zhou L, Roe SM, Korbonits M, et al. Structure of the TPR domain of AIP: lack of client protein interaction with the C-terminal alpha-7 helix of the TPR domain of AIP is sufficient for pituitary adenoma predisposition. PLoS One. 2012;7(12):e53339.
  55. Linnert M, Haupt K, Lin YJ, Kissing S, Paschke AK, Fischer G, et al. NMR assignments of the FKBP-type PPIase domain of the human aryl-hydrocarbon receptor-interacting protein (AIP). Biomol NMR Assign. 2012;6(2):209-12.
  56. Trivellin G, Korbonits M. AIP and its interacting partners. J Endocrinol. 2011;210(2):137-55.
  57. Cazabat L, Bouligand J, Salenave S, Bernier M, Gaillard S, Parker F, et al. Germline AIP mutations in apparently sporadic pituitary adenomas: prevalence in a prospective single-center cohort of 443 patients. J Clin Endocrinol Metab. 2012;97(4):E663-E70.
  58. Georgitsi M, Raitila A, Karhu A, Tuppurainen K, Makinen MJ, Vierimaa O, et al. Molecular diagnosis of pituitary adenoma predisposition caused by aryl hydrocarbon receptor-interacting protein gene mutations. Proc Natl Acad Sci USA. 2007;104(10):4101-5.
  59. Vargiolu M, Fusco D, Kurelac I, Dirnberger D, Baumeister R, Morra I, et al. The tyrosine kinase receptor RET interacts in vivo with aryl hydrocarbon receptor-interacting protein to alter survivin availability. J Clin Endocrinol Metab. 2009;94(7):2571-8.
  60. Chahal HS, Stals K, Unterlander M, Balding DJ, Thomas MG, Kumar AV, et al. AIP mutation in pituitary adenomas in the 18th century and today. N Engl J Med. 2011;364(1):43-50.
  61. Jennings JE, Georgitsi M, Holdaway I, Daly A, Tichomirowa M, Beckers A, et al. Aggressive pituitary adenomas occurring in young patients in a large Polynesian kindred with a germline R271W mutation in the AIP gene. Eur J Endocrinol. 2009;161(5):799-804.
  62. Toledo RA, Mendonca BB, Fragoso MC, Soares IC, Almeida MQ, Moraes MB, et al. Isolated familial somatotropinoma: 11q13-loh and gene/protein expression analysis suggests a possible involvement of AIP also in non-pituitary tumorigenesis. Clinics (Sao Paulo). 2010;65(4):407-15.
  63. Lin BC, Sullivan R, Lee Y, Moran S, Glover E, Bradfield CA. Deletion of the aryl hydrocarbon receptor-associated protein 9 leads to cardiac malformation and embryonic lethality. J Biol Chem. 2007;282(49):35924-32.
  64. Kang BH, Xia F, Pop R, Dohi T, Socolovsky M, Altieri DC. Developmental control of apoptosis by the immunophilin aryl hydrocarbon receptor-interacting protein (AIP) involves mitochondrial import of the survivin protein. J Biol Chem. 2011;286(19):16758-67.
  65. Raitila A, Lehtonen HJ, Arola J, Heliovaara E, Ahlsten M, Georgitsi M, et al. Mice with inactivation of aryl hydrocarbon receptor-interacting protein (Aip) display complete penetrance of pituitary adenomas with aberrant ARNT expression. Am J Pathol. 2010;177(4):1969-76.
  66. Heliovaara E, Raitila A, Launonen V, Paetau A, Arola J, Lehtonen H, et al. The expression of AIP-related molecules in elucidation of cellular pathways in pituitary adenomas. Am J Pathol. 2009;175(6):2501-7.
  67. Gillam MP, Ku CR, Lee YJ, Kim J, Kim SH, Lee SJ, et al. Somatotroph-Specific Aip-Deficient Mice Display Pretumorigenic Alterations in Cell-Cycle Signaling. J Endocr Soc. 2017;1(2):78-95.
  68. Maltepe E, Schmidt JV, Baunoch D, Bradfield CA, Simon MC. Abnormal angiogenesis and responses to glucose and oxygen deprivation in mice lacking the protein ARNT. Nature. 1997;386(6623):403-7.
  69. Kozak KR, Abbott B, Hankinson O. ARNT-deficient mice and placental differentiation. Dev Biol. 1997;191(2):297-305.
  70. Vasquez A, Atallah-Yunes N, Smith FC, You X, Chase SE, Silverstone AE, et al. A role for the aryl hydrocarbon receptor in cardiac physiology and function as demonstrated by AhR knockout mice. Cardiovasc Toxicol. 2003;3(2):153-63.
  71. Lund AK, Goens MB, Kanagy NL, Walker MK. Cardiac hypertrophy in aryl hydrocarbon receptor null mice is correlated with elevated angiotensin II, endothelin-1, and mean arterial blood pressure. Toxicol Appl Pharmacol. 2003;193(2):177-87.
  72. Lahvis GP, Lindell SL, Thomas RS, McCuskey RS, Murphy C, Glover E, et al. Portosystemic shunting and persistent fetal vascular structures in aryl hydrocarbon receptor-deficient mice. Proc Natl Acad Sci USA. 2000;97(19):10442-7.
  73. Tappenden DM, Hwang HJ, Yang L, Thomas RS, Lapres JJ. The Aryl-Hydrocarbon Receptor Protein Interaction Network (AHR-PIN) as Identified by Tandem Affinity Purification (TAP) and Mass Spectrometry. J Toxicol. 2013;2013:279829.
  74. Hernandez-Ramirez LC, Martucci F, Morgan RM, Trivellin G, Tilley D, Ramos-Guajardo N, et al. Rapid Proteasomal Degradation of Mutant Proteins Is the Primary Mechanism Leading to Tumorigenesis in Patients With Missense AIP Mutations. J Clin Endocrinol Metab. 2016;101(8):3144-54.
  75. Hernandez-Ramirez LC, Morgan RML, Barry S, D'Acquisto F, Prodromou C, Korbonits M. Multi-chaperone function modulation and association with cytoskeletal proteins are key features of the function of AIP in the pituitary gland. Oncotarget. 2018;9(10):9177-98.
  76. Schernthaner-Reiter MH, Trivellin G, Stratakis CA. Interaction of AIP with protein kinase A (cAMP-dependent protein kinase). Hum Mol Genet. 2018.
  77. Hillegass JM, Murphy KA, Villano CM, White LA. The impact of aryl hydrocarbon receptor signaling on matrix metabolism: implications for development and disease. Biol Chem. 2006;387(9):1159-73.
  78. de Oliveira SK, Smolenski A. Phosphodiesterases link the aryl hydrocarbon receptor complex to cyclic nucleotide signaling. Biochem Pharmacol. 2008.
  79. Kang BH, Altieri DC. Regulation of survivin stability by the aryl hydrocarbon receptor-interacting protein. J Biol Chem. 2006;281(34):24721-7.
  80. Monteiro P, Gilot D, Le FE, Rauch C, Lagadic-Gossmann D, Fardel O. Dioxin-mediated up-regulation of aryl hydrocarbon receptor target genes is dependent on the calcium/calmodulin/CaMKIalpha pathway. Mol Pharmacol. 2008;73(3):769-77.
  81. Barouki R, Coumoul X, Fernandez-Salguero PM. The aryl hydrocarbon receptor, more than a xenobiotic-interacting protein. FEBS Lett. 2007;581(19):3608-15.
  82. Cannavo S, Ferraù F, Ragonese M, Curto L, Torre ML, Magistri M, et al. Increased prevalence of acromegaly in a highly polluted area. Eur J Endocrinol. 2010;163(4):509-13.
  83. Pesatori AC, Baccarelli A, Consonni D, Lania A, Beck-Peccoz P, Bertazzi P, et al. Aryl hydrocarbon receptor interacting protein and pituitary adenomas: a population-based study on subjects exposed to dioxin after the Seveso, Italy, accident. Eur J Endocrinol. 2008;159(6):699-703.
  84. Cannavo S, Ragonese M, Puglisi S, Romeo PD, Torre ML, Alibrandi A, et al. Acromegaly Is More Severe in Patients With AHR or AIP Gene Variants Living in Highly Polluted Areas. J Clin Endocrinol Metab. 2016;101(4):1872-9.
  85. Lecoq AL, Viengchareun S, Hage M, Bouligand J, Young J, Boutron A, et al. AIP mutations impair AhR signaling in pituitary adenoma patients fibroblasts and in GH3 cells. Endocr Relat Cancer. 2016;23(5):433-43.
  86. Cai W, Kramarova TV, Berg P, Korbonits M, Pongratz I. The immunophilin-like protein XAP2 is a negative regulator of estrogen signaling through interaction with estrogen receptor alpha. PLoS One. 2011;6(10):e25201.
  87. Heaney AP, Horwitz GA, Wang Z, Singson R, Melmed S. Early involvement of estrogen-induced pituitary tumor transforming gene and fibroblast growth factor expression in prolactinoma pathogenesis. Nat Med. 1999;5(11):1317-21.
  88. Landis CA, Masters SB, Spada A, Pace AM, Bourne HR, Vallar L. GTPase inhibiting mutations activate the a chain of Gs and stimulate adenylyl cyclase in human pituitary tumors. Nature. 1989;340:692-6.
  89. Bertherat J, Chanson P, Montminy M. The cyclic adenosine 3',5'-monophosphate-responsive factor CREB is constitutively activated in human somatotroph adenomas. Mol Endocrinol. 1995;9(7):777-83.
  90. Vallar L, Spada A, Giannattasio G. Altered Gs and adenylate cyclase activity in human GH-secreting pituitary adenomas. Nature. 1987;330(6148):566-8.
  91. Formosa R, Xuereb-Anastasi A, Vassallo J. Aip regulates cAMP signalling and GH secretion in GH3 cells. Endocr Relat Cancer. 2013;20(4):495-505.
  92. Vasilev V, Daly AF, Thiry A, Petrossians P, Fina F, Rostomyan L, et al. McCune-Albright syndrome: a detailed pathological and genetic analysis of disease effects in an adult patient. J Clin Endocrinol Metab. 2014;99(10):E2029-E38.
  93. Tsang KM, Starost MF, Nesterova M, Boikos SA, Watkins T, Almeida MQ, et al. Alternate protein kinase A activity identifies a unique population of stromal cells in adult bone. Proc Natl Acad Sci USA. 2010;107(19):8683-8.
  94. Robinson-White A, Hundley TR, Shiferaw M, Bertherat J, Sandrini F, Stratakis CA. Protein kinase-A activity in PRKAR1A-mutant cells, and regulation of mitogen-activated protein kinases ERK1/2. Hum Mol Genet. 2003;12(13):1475-84.
  95. Nakata A, Urano D, Fujii-Kuriyama Y, Mizuno N, Tago K, Itoh H. G-protein signalling negatively regulates the stability of aryl hydrocarbon receptor. EMBO Rep. 2009;10(6):622-8.
  96. Tuominen I, Heliovaara E, Raitila A, Rautiainen MR, Mehine M, Katainen R, et al. AIP inactivation leads to pituitary tumorigenesis through defective Galphai-cAMP signaling. Oncogene. 2015;34(9):1174-84.
  97. Ritvonen E, Pitkanen E, Karppinen A, Vehkavaara S, Demir H, Paetau A, et al. Impact of AIP and inhibitory G protein alpha 2 proteins on clinical features of sporadic GH-secreting pituitary adenomas. Eur J Endocrinol. 2017;176(2):243-52.
  98. Liu YF, Jakobs KH, Rasenick MM, Albert PR. G protein specificity in receptor-effector coupling. Analysis of the roles of G0 and Gi2 in GH4C1 pituitary cells. J Biol Chem. 1994;269(19):13880-6.
  99. Garcia-Rendueles AR, Chenlo M, Oroz-Gonjar F, Solomou A, Mistry A, Barry S, et al. RET signalling provides tumorigenic mechanism and tissue specificity for AIP-related somatotrophinomas. Oncogene. 2021;40(45):6354-68.
  100. Caimari F, Hernández-Ramírez LC, Dang MN, Gabrovska P, Iacovazzo D, Stals K, et al. Risk category system to identify pituitary adenoma patients with AIP mutations. J Med Genet. 2018;55(4):254-60.
  101. Liu W, Matsumoto Y, Okada M, Miyake K, Kunishio K, Kawai N, et al. Matrix metalloproteinase 2 and 9 expression correlated with cavernous sinus invasion of pituitary adenomas. J Med Invest. 2005;52(3-4):151-8.
  102. Marques P, Korbonits M. Tumour microenvironment and pituitary tumour behaviour. J Endocrinol Invest. 2023;46(6):1047-63.
  103. Dénes J, Kasuki L, Trivellin G, Colli LM, Takiya CM, Stiles CE, et al. Regulation of aryl hydrocarbon receptor interacting protein (AIP) protein expression by MiR-34a in sporadic somatotropinomas. PLoS One. 2015;10(2):e0117107.
  104. Bogner EM, Daly AF, Gulde S, Karhu A, Irmler M, Beckers J, et al. miR-34a is upregulated in AIP-mutated somatotropinomas and promotes octreotide resistance. Int J Cancer. 2020;147(12):3523-38.
  105. Cai F, Chen S, Yu X, Zhang J, Liang W, Zhang Y, et al. Transcription factor GTF2B regulates AIP protein expression in growth hormone-secreting pituitary adenomas and influences tumor phenotypes. Neuro Oncol. 2022;24(6):925-35.
  106. Nord KH, Magnusson L, Isaksson M, Nilsson J, Lilljebjorn H, Domanski HA, et al. Concomitant deletions of tumor suppressor genes MEN1 and AIP are essential for the pathogenesis of the brown fat tumor hibernoma. Proc Natl Acad Sci U S A. 2010;107(49):21122-7.
  107. Magnusson L, Hansen N, Saba KH, Nilsson J, Fioretos T, Rissler P, et al. Loss of the tumour suppressor gene AIP mediates the browning of human brown fat tumours. J Pathol. 2017;243(2):160-4.
  108. Coopmans EC, Muhammad A, Daly AF, de Herder WW, van Kemenade FJ, Beckers A, et al. The role of AIP variants in pituitary adenomas and concomitant thyroid carcinomas in the Netherlands: a nationwide pathology registry (PALGA) study. Endocrine. 2020;68(3):640-9.
  109. Hernandez-Ramirez LC, Gam R, Valdes N, Lodish MB, Pankratz N, Balsalobre A, et al. Loss-of-function mutations in the CABLES1 gene are a novel cause of Cushing's disease. Endocr Relat Cancer. 2017;24(8):379-92.
  110. Gorvin CM, Newey PJ, Rogers A, Stokes V, Neville MJ, Lines KE, et al. Association of prolactin receptor (PRLR) variants with prolactinomas. Hum Mol Genet. 2019;28(6):1023-37.
  111. Zhang Q, Peng C, Song J, Zhang Y, Chen J, Song Z, et al. Germline Mutations in CDH23, Encoding Cadherin-Related 23, Are Associated with Both Familial and Sporadic Pituitary Adenomas. Am J Hum Genet. 2017;100(5):817-23.
  112. Melo FM, Couto PP, Bale AE, Bastos-Rodrigues L, Passos FM, Lisboa RG, et al. Whole-exome identifies RXRG and TH germline variants in familial isolated prolactinoma. Cancer Genet. 2016;209(6):251-7.
  113. Srirangam Nadhamuni V, Korbonits M. Novel Insights into Pituitary Tumorigenesis: Genetic and Epigenetic Mechanisms. Endocr Rev. 2020;41(6):821-46.
  114. Bernard DJ, Brûlé E, Smith CL, Joustra SD, Wit JM. From Consternation to Revelation: Discovery of a Role for IGSF1 in Pituitary Control of Thyroid Function. J Endocr Soc. 2018;2(3):220-31.
  115. Faucz FR, Horvath AD, Azevedo MF, Levy I, Bak B, Wang Y, et al. Is IGSF1 involved in human pituitary tumor formation? Endocr Relat Cancer. 2015;22(1):47-54.
  116. Sun Y, Bak B, Schoenmakers N, van Trotsenburg AS, Oostdijk W, Voshol P, et al. Loss-of-function mutations in IGSF1 cause an X-linked syndrome of central hypothyroidism and testicular enlargement. Nat Genet. 2012;44(12):1375-81.
  117. Joustra SD, Roelfsema F, van Trotsenburg ASP, Schneider HJ, Kosilek RP, Kroon HM, et al. IGSF1 Deficiency Results in Human and Murine Somatotrope Neurosecretory Hyperfunction. J Clin Endocrinol Metab. 2020;105(3):e70-84.
  118. Kardelen AD, Karakılıç Özturan E, Poyrazoğlu Ş, Baş F, Ceylaner S, Joustra SD, et al. A Novel Pathogenic IGSF1 Variant in a Patient with GH and TSH Deficiency Diagnosed by High IGF-I Values at Transition to Adult Care. J Clin Res Pediatr Endocrinol. 2023;15(4):431-7.
  119. Joustra SD, Heinen CA, Schoenmakers N, Bonomi M, Ballieux BE, Turgeon MO, et al. IGSF1 Deficiency: Lessons From an Extensive Case Series and Recommendations for Clinical Management. J Clin Endocrinol Metab. 2016;101(4):1627-36.
  120. Carmi D, Shohat M, Metzker A, Dickerman Z. Growth, puberty, and endocrine functions in patients with sporadic or familial neurofibromatosis type 1: a longitudinal study. Pediatrics. 1999;103(6 Pt 1):1257-62.
  121. Mautner VF, Kluwe L, Friedrich RE, Roehl AC, Bammert S, Högel J, et al. Clinical characterisation of 29 neurofibromatosis type-1 patients with molecularly ascertained 1.4 Mb type-1 NF1 deletions. J Med Genet. 2010;47(9):623-30.
  122. Cambiaso P, Galassi S, Palmiero M, Mastronuzzi A, Del Bufalo F, Capolino R, et al. Growth hormone excess in children with neurofibromatosis type-1 and optic glioma. Am J Med Genet A. 2017;173(9):2353-8.
  123. Hannah-Shmouni F, Trivellin G, Beckers P, Karaviti LP, Lodish M, Tatsi C, et al. Neurofibromatosis Type 1 Has a Wide Spectrum of Growth Hormone Excess. J Clin Med. 2022;11(8).
  124. Glasker S, Vortmeyer AO, Lafferty AR, Hofman PL, Li J, Weil RJ, et al. Hereditary pituitary hyperplasia with infantile gigantism. J Clin Endocrinol Metab. 2011;96(12):E2078-E87.
  125. Beckers A, Lodish MB, Trivellin G, Rostomyan L, Lee M, Faucz FR, et al. X-linked acrogigantism syndrome: clinical profile and therapeutic responses. Endocr Relat Cancer. 2015;22(3):353-67.
  126. Wise-Oringer BK, Zanazzi GJ, Gordon RJ, Wardlaw SL, William C, Anyane-Yeboa K, et al. Familial X-Linked Acrogigantism: Postnatal Outcomes and Tumor Pathology in a Prenatally Diagnosed Infant and His Mother. J Clin Endocrinol Metab. 2019;104(10):4667-75.
  127. Iacovazzo D, Caswell R, Bunce B, Jose S, Yuan B, Hernandez-Ramirez LC, et al. Germline or somatic GPR101 duplication leads to X-linked acrogigantism: a clinico-pathological and genetic study. Acta Neuropathol Commun. 2016;4(1):56.
  128. Burren CP, Williams G, Coxson E, Korbonits M. Effective Long-term Pediatric Pegvisomant Monotherapy to Final Height in X-linked Acrogigantism. JCEM Case Reports. 2023;1(3).
  129. Lecoq AL, Bouligand J, Hage M, Cazabat L, Salenave S, Linglart A, et al. Very low frequency of germline GPR101 genetic variation and no biallelic defects with AIP in a large cohort of patients with sporadic pituitary adenomas. Eur J Endocrinol. 2016;174(4):523-30.
  130. Ferrau F, Romeo PD, Puglisi S, Ragonese M, Torre ML, Scaroni C, et al. Analysis of GPR101 and AIP genes mutations in acromegaly: a multicentric study. Endocrine. 2016;54(3):762-7.
  131. Trivellin G, Bjelobaba I, Daly AF, Larco DO, Palmeira L, Faucz FR, et al. Characterization of GPR101 transcript structure and expression patterns. J Mol Endocrinol. 2016;57(2):97-111.
  132. Iacovazzo D, Korbonits M. Gigantism: X-linked acrogigantism and GPR101 mutations.Growth Horm IGF Res2016.
  133. Naves LA, Daly AF, Dias LA, Yuan B, Zakir JC, Barra GB, et al. Aggressive tumor growth and clinical evolution in a patient with X-linked acro-gigantism syndrome. Endocrine. 2016;51(2):236-44.
  134. Moran A, Asa SL, Kovacs K, Horvath E, Singer W, Sagman U, et al. Gigantism due to pituitary mammosomatotroph hyperplasia. N Engl J Med. 1990;323(5):322-7.
  135. Coxson E, Iacovazzo D, Bunce B, Jose S, Ellard S, Sampson J, et al., editors. Pegvisomant treatment for X-linked acrogigantism syndrome. Endocrine Abstracts; 2015.
  136. Daly AF, Lysy PA, Desfilles C, Rostomyan L, Mohamed A, Caberg JH, et al. GHRH excess and blockade in X-LAG syndrome. Endocr Relat Cancer. 2016;23(3):161-70.
  137. Trivellin G, Faucz FR, Daly AF, Beckers A, Stratakis CA. GPR101, an orphan GPCR with roles in growth and pituitary tumorigenesis. Endocr Relat Cancer. 2020.
  138. Trivellin G, Hernandez-Ramirez LC, Swan J, Stratakis CA. An orphan G-protein-coupled receptor causes human gigantism and/or acromegaly: Molecular biology and clinical correlations. Best Pract Res Clin Endocrinol Metab. 2018;32(2):125-40.
  139. Franke M, Daly AF, Palmeira L, Tirosh A, Stigliano A, Trifan E, et al. Duplications disrupt chromatin architecture and rewire GPR101-enhancer communication in X-linked acrogigantism. Am J Hum Genet. 2022;109(4):553-70.
  140. Cazabat L, Bouligand J, Chanson P. AIP mutation in pituitary adenomas. N Engl J Med. 2011;364(20):1973-4.
  141. Korbonits M, Blair JC, Boguslawska A, Ayuk J, Davies JH, Druce MR, et al. Consensus guideline for the diagnosis and management of pituitary adenomas in childhood and adolescence: Part 1, general recommendations. Nat Rev Endocrinol. 2024.
  142. Tichomirowa MA, Barlier A, Daly AF, Jaffrain-Rea ML, Ronchi CL, Yaneva M, et al. High prevalence of AIP gene mutations following focused screening in young patients with sporadic pituitary macroadenomas. Eur J Endocrinol. 2011;165(4):509-15.
  143. Korbonits M, Storr H, Kumar AV. Familial pituitary adenomas - Who should be tested for AIP mutations? Clin Endocrinol (Oxf). 2012;77(3):351-6.
  144. Ezzat S, Asa SL, Couldwell WT, Barr CE, Dodge WE, Vance ML, et al. The prevalence of pituitary adenomas: a systematic review. Cancer. 2004;101(3):613-9.

Gastrointestinal Disorders in Diabetes

ABSTRACT

 

Gastrointestinal manifestations of type 1 and 2 diabetes are common and represent a substantial cause of morbidity and health care costs, as well as a diagnostic and therapeutic challenge. Predominant among them, and most extensively studied, is abnormally delayed gastric emptying or diabetic gastroparesis. Abnormally increased retention of gastric contents may be associated with symptoms, including nausea, vomiting, postprandial fullness, bloating, and early satiety, which may be debilitating. However, the relationship of upper gastrointestinal symptoms with the rate of gastric emptying is relatively weak. Moreover, gastrointestinal symptoms also occur frequently in people without diabetes, which may compromise the capacity to discriminate gastrointestinal dysfunction resulting from diabetes from common gastrointestinal disorders such as functional dyspepsia. A definitive diagnosis of gastroparesis thus necessitates measurement of gastric emptying by a sensitive technique, such as scintigraphy or a stable-isotope breath test. There is an inter-dependent relationship of gastric emptying with postprandial glycemia. Elevated blood glucose (hyperglycemia) slows gastric emptying while, conversely, the rate of emptying is a major determinant of the glycemic response to a meal. The latter recognition has stimulated the development of dietary and pharmacological (e.g. short-acting GLP-1 receptor agonists) approaches to improve postprandial glycemic control in type 2 diabetes by slowing gastric emptying. The outcome of current management of symptomatic diabetic gastroparesis is often sub-optimal - optimizing glycemic control, the correction of nutritional deficiencies, and use of pharmacotherapy, are important. A number of promising and novel pharmacotherapeutic agents are in development. This chapter focusses on gastric motor function, but also provides an overview of the manifestations of esophageal, gall bladder, small and large intestinal function, in diabetes.

 

INTRODUCTION

 

The gastrointestinal tract extends from the mouth to the anus and performs functions vital to sustaining life including ingestion, breakdown and digestion of nutrients, facilitating nutrient absorption and preparation and expulsion of the waste product. Gastrointestinal symptoms occur commonly in people with diabetes, and include gastro-esophageal reflux, bloating, nausea, constipation, diarrhea, and fecal incontinence. It has been suggested that more than 50% of individuals attending outpatient diabetic clinics will at some stage experience a distressing gastrointestinal symptom. Gastrointestinal motor dysfunction is also common in diabetes and may have an impact on glycemic control. Of the motor dysfunctions, gastroparesis, or delayed gastric emptying, is the most important and will be discussed in relatively greater detail. This chapter is limited to the gastrointestinal manifestations of type 1 and 2 diabetes and does not address other causes of diabetes, such as that related to cystic fibrosis. 

 

GASTROINTESTINAL SYMPTOMS

 

Gastrointestinal symptoms are exhibited frequently in type 1 and 2 diabetes and most, but not all, studies suggest that they are significantly more common in diabetes than in controls without diabetes (1); reported inconsistencies likely reflect discrepancies in the methodology used and the patient populations studied. It should be appreciated that gastrointestinal symptoms are often not volunteered, particularly those considered embarrassing (such as fecal incontinence) and it would not be surprising if current estimates are less than is really the case. Symptoms, unfortunately, continue to be evaluated in clinical trials solely using participant ‘self-report’ despite its appreciated unreliability, rather than simple, validated measures, which are used widely in the assessment of ‘functional’ gastrointestinal disorders (e.g.  irritable bowel syndrome and functional depression) (2)  (1)  Symptoms appear to be more common in women with diabetes, as is the case with functional gastrointestinal disorders (3). While it is unclear whether symptom prevalence varies between type 1 and type 2 diabetes there is no doubt that gastrointestinal symptoms have a substantial negative impact on quality of life in people with diabetes (4). There is, however, a poor correlation between gastrointestinal symptoms and measures of function, such as the rate of gastric emptying. The natural history of gastrointestinal symptoms remains poorly defined, although it is known that onset and disappearance of symptoms is common i.e. there is considerable ‘symptom turnover’ - approximately 15-25 % over a 2-year period has been observed in type 2 patients (1). This symptom turnover has been reported to be associated with the onset of depression, but not with autonomic neuropathy or glycemic control (5).  

 

GASTROINTESTINAL MANIFESTATIONS IN DIABETES

 

Esophagus

 

The esophagus, a muscular tube connecting the pharynx to the stomach, enables propulsion of swallowed food, with a sphincter at either end (the upper and lower esophageal sphincters) to prevent esophago-pharyngeal and gastro-esophageal reflux, respectively.

 

Two common esophageal symptoms are heartburn (as part of gastro-esophageal reflux disease) and dysphagia (potentially indicating esophageal motor dysfunction). Techniques to evaluate esophageal motility include conventional and high-resolution manometry (HRM). Scintigraphy can measure esophageal transit but has not been standardized and is not commonly employed in clinical settings.

 

The relationship between esophageal transit and gastric emptying in diabetes is poor (6). Acute hyperglycemia inhibits esophageal motility (7), and reduces the basal lower esophageal sphincter pressure (8). While the esophagus has been less well studied than the stomach, it is clear that disordered esophageal function occurs frequently and that disordered motility in both the esophagus and stomach may share a similar pathogenesis. It has been postulated that the major mechanism underlying esophageal dysmotility is a reduction of cholinergic activity and vagal parasympathetic dysfunction (9). The pathological abnormalities associated with gastroparesis, such as a reduction in interstitial cells of Cajal and inhibitory intrinsic neurons, have also been postulated to be relevant to esophageal dysmotility (10). Diffuse esophageal muscular hypertrophy was reported in two-thirds of people with diabetes in one case series (11).

 

There are limited evidence-based options for the management of esophageal disorders in diabetes. General measures include lifestyle modifications (improved glycemic control, weight loss, dietary modifications, and physical exercise). Prokinetic agents have been used, albeit with limited evidence to support efficacy. The latter include dopaminergic agents (metoclopramide, domperidone), serotonin receptor agonists (cisapride), and motilin agonists (erythromycin). Botulinum toxin was trialed in a pilot study in patients with achalasia (including those with diabetes) and peripheral neuropathy and improvements in effective peristalsis induction and contraction amplitude were reported (12).

 

Gastro-esophageal reflux disease (GERD) is extremely common in the general population and also frequently seen in diabetes. In non-erosive GERD, treatment involves lifestyle measures (bed elevation of 30 degrees at head- end) and use of proton-pump inhibitors. In a community study, a reduced rate of heartburn was found in type 1 patients when compared with a control population (13), although this observation remains to be confirmed and the implications are unclear.

 

Disordered esophageal motility, especially the elderly, increases the risk of ‘pill-induced esophagitis’, with mucosal injury due to prolonged exposure to impacted medications (14). Diabetes is an independent risk factor (14), and the condition usually presents as chest pain with or without odynophagia. Treatment involves withdrawal of the offending agent and use of proton pump inhibitors (15).

 

Stomach - Diabetic Gastroparesis

 

INTRODUCTION

 

Delayed gastric emptying in diabetes was first reported almost a century ago, but it was Kassander who, in 1958, documented asymptomatic increased gastric retention of barium in diabetes and coined the descriptive term ‘gastroparesis diabeticorum’ (16). Interestingly, Kassander also suggested in their paper that gastroparesis could adversely impact glycemic control. Some sixty years on, diabetic gastroparesis, traditionally defined as abnormally delayed gastric emptying of solid food in the absence of mechanical obstruction, remains a diagnostic and management challenge (17). Gastroparesis occurs in both type 1 and 2 diabetes and may not, necessarily, be indicative of a poor prognosis (18,19).

 

The rate of gastric emptying is now appreciated as a major determinant of postprandial glycemia in both health and diabetes (20), and novel anti-diabetic medications, such as short acting GLP-1 receptor agonists, diminish postprandial glycemic excursions predominantly by slowing gastric emptying, are used widely.

 

EPIDEMIOLOGY OF DIABETIC GASTROPARESIS

 

The ‘true’ incidence and prevalence of diabetic gastroparesis globally remain uncertain largely due to inconsistencies in the definition of gastroparesis, study populations, and methodology. It is, however, clear that diabetes is a leading cause of gastroparesis, accounting for about 30% of cases in tertiary referral studies (17). A recent analysis of data from the follow-up arm of the landmark prospective study in type 1 diabetes, called DCCT-EDIC (Diabetes Control and Complications –Epidemiology of Diabetes Interventions and Complications) found that delayed gastric emptying of a solid meal occurred in 47% of this population, consistent with the prevalence reported in other cross-sectional studies (21). Previously believed to be essentially a complication of advanced type 1 diabetes (T1D), it is now apparent that gastroparesis also occurs frequently in type 2 diabetes (T2D) (16,22). Risk factors for gastroparesis include a long duration of diabetes, the presence of other microvascular complications, female gender, obesity. and smoking (17).  In a recent report from the NIH Gastroparesis Consortium, the proportion of T1D and T2D was comparable (although many more people with T2D have gastroparesis as its prevalence is much higher), although a US-based community study based on symptomatic cases, reported an incidence of approximately 5% in T1D and 1% in T2D (compared with 0.01% in controls) (23). Data from the US indicate that hospitalizations due to diabetic gastroparesis rose 158% between 1995-2004, which may reflect a true increase in incidence and / or greater clinical awareness of the condition (24). Not surprisingly, health care costs related to diabetic gastroparesis have also increased substantially in recent years. It should, however, also be noted that the awareness of the central importance of glycemic control to the development and progression of microvascular complications, and the consequent increased priority in management to improve it, may have led to a reduction in the incidence of gastroparesis. Consistent with this, it has recently been shown that in well-controlled T2D, even when longstanding, the prevalence of gastroparesis is low and, not infrequently, gastric emptying is modestly accelerated (19,25).

 

DIAGNOSIS OF DIABETIC GASTROPARESIS

 

As alluded to, the presence of gastrointestinal symptoms is poorly predictive of delayed gastric emptying. It is well established that patients with debilitating upper GI symptoms may have normal, or even rapid emptying, while others with unequivocally markedly delayed emptying may report few, or no symptoms. Measurement of gastric emptying, after exclusion of mechanical obstruction at the gastric outlet or proximal small intestine is, accordingly, mandatory for a formal diagnosis of gastroparesis, for which scintigraphy, developed in the 1970s, remains the ‘gold standard’ technique. An attempt has been made to standardize the methodology, with the American Neurogastroenterology and Motility Society and the Society of Nuclear Medicine defining gastroparesis by the intra-gastric retention of >60% of a standardized meal at 2 hours and/or >10% at 4 hours (26). The test meal advocated in the consensus statement comprises two egg-whites, two slices of bread and jam (30 g) with water (120 ml), providing 255 kcal with little fat (72% carbohydrate, 24% protein, 2% fat and 2% fiber) (26). While a useful exercise, the probability of universal adoption of a specific meal, especially outside Western cultures, is intuitively low. The advantages of scintigraphy are its capacity for precise, concurrent measurement of both solid and liquid meal components (the ‘consensus’ test meal only labels the solid component); however, it involves radiation exposure and requires sophisticated equipment and technical expertise. Acceptable alternatives include 13C based breath tests and ultrasonography, neither of which involve radiation exposure, although the latter is operator-dependent (22). Newer techniques, such as the wireless motility capsule, MRI, and SPECT imaging have emerged, but at present these should be considered less accurate than scintigraphy and / or only relevant to a research setting (17).

 

PATHOGENESIS OF DIABETIC GASTROPARESIS

 

Gastric emptying is a complex, coordinated process by which chyme is delivered to the small intestine at a tightly regulated rate and involves the gastro-intestinal musculature, nervous systems (intrinsic and extrinsic), gastric ‘pacemaker’ (so-called ‘Interstitial cells of Cajal or ICC), immune cells, and fibroblast-like cells that stain positive for platelet derived growth factor receptor alpha.  In the fasting state, a cyclical pattern of contractile activity known as the ‘migrating motor complex’ (MMC) sweeps from the stomach through to the small intestine, which serves a “housekeeping’ role i.e. facilitating the movement of ingestible food particles and bacteria from the stomach through the intestine (27). There are distinct phases of the MMC: phase I consists of motor quiescence lasting approximately 40 min, phase II, approximately 50 min, is comprised of irregular contractions, and phase III is characterized by regular contractions (at approximately 3 per min in the stomach and about 10-12 per small intestine) for 10 min during which the bulk of indigestible solids are emptied (28). Following meal ingestion, the MMC is replaced by a ‘postprandial’ motor pattern. Solids are then mixed with gastric acid and ground into small particles (usually < 1-2 mm) in the distal stomach. Gastric accommodation is mediated by vagal and nitrergic mechanisms, antral contractions by vagal and intrinsic cholinergic mediation, and pyloric relaxation by nitrergic mechanisms (17). The resultant chyme is delivered through the pylorus to the proximal duodenum predominantly in a pulsatile manner (22,27). It is now appreciated that the rate of emptying is regulated primarily by nutrient-induced inhibitory feedback arising from the small intestine, rather than by ‘intragastric’ mechanisms (29). Digestible solids and high nutrient liquids empty from the stomach in an overall linear fashion as a result of this feedback (6); solid emptying is preceded by an initial so-called ‘lag-phase’ of 20-40 min during which solids are ground into small particles. In contrast to solids, low or non-nutrient liquids empty in an overall, volume-dependent, monoexponential pattern because small intestinal feedback is less (27). A number of gut peptides play a key role in providing intestinal feedback, including GLP-1, CCK, and peptide YY. In contrast, ghrelin and motilin, which accelerate gastric emptying, are suppressed following food intake (22,27). Both the length and region of small intestine exposed to nutrients modulate feedback to slow gastric emptying (30).

 

Disordered gastric emptying represents the outcome of impairments of variable combinations of these diverse components. Advances in understanding the underlying pathophysiology have been made over the past decade, particularly through the efforts of the NIH-funded Gastroparesis Clinical Research Consortium. Histological studies from this group and others have shown a reduction in the number of interstitial cells of Cajal in diabetic gastroparesis, which correlates with the magnitude of delay in emptying (31). Interstitial cells of Cajal loss appears to be driven by an immune infiltrate involving a shift from protective M2, to classically activated, M1 macrophages, with defective regulation of heme oxygenase-1 and resultant oxidative stress.  Altered expression of the Ano-1 gene which influences conduction in the Interstitial cells of Cajal has also been reported (32). A reduction in inhibitory neurons expressing nitric oxide synthase also appears to contribute (31).

 

GASTRIC EMPTYING AND GLYCEMIA (FIGURE 1)

 

Figure 1. Bidirectional relationship between gastric emptying and glycemia. Abbreviations: CCK, cholecystokinin; GIP, gastric inhibitory polypeptide; GLP-1, glucagon-like peptide 1; PYY, peptide YY. Reproduced with permission from Philips et al (22)

 

Gastric emptying exhibits a wide inter-individual variation (ranging between 1-4kcal /min in health and even wider in diabetes because of the high prevalence of gastroparesis and, less often, abnormally rapid emptying) (Figure 2).  Gastric emptying is a major determinant of postprandial glycemia across glucose-tolerant states and these relationships are time- dependent. In individuals with normal glucose tolerance, following a 75g oral glucose drink, the early (approximately 30 min) rise in glucose is directly proportional to the rate of emptying, while the 120 min value (the standard endpoint in an OGTT) is inversely related. This relationship shifts to the right as glucose tolerance worsens, such that both 30- and 120-min glucose values are directly proportional to the gastric emptying rate in type 2 diabetes(33-35).Epidemiological studies indicate that about 50% of people with impaired glucose tolerance or IGT will develop frank type 2 diabetes and, hence, factors affecting progression are of considerable interest. We have shown that the disposition index – a predictor of progression to type 2 diabetes – is inversely related to the gastric emptying rate (36), suggesting that the rate of emptying may influence the progression. There is evidence that the 1-hour plasma glucose level in a 75g oral glucose tolerance test is strongly associated with the risk of future type 2 diabetes (37)  and this is known to be dependent on the rate of gastric emptying (34,35).

 

In type 2 diabetes, slowing of gastric emptying (such as by morphine) reduces the postprandial glycemic profile, while accelerating emptying by pro-kinetics (such as erythromycin) increases it (38). Bypassing the stomach and delivering glucose directly into the small intestine at specified rates (within the physiological span of gastric emptying) via naso- duodenal catheters has been used as a model to characterize the impact of gastric emptying on glycemia. These 'surrogate' studies indicate that gastric emptying is a major determinant of postprandial insulin secretion and the magnitude of the so-called 'incretin' effect (the augmented insulin secretory response to oral or enteral, compared with intravenous, glucose). Moreover, the relative contribution of the two 'incretin' hormones (GIP and GLP-1) to the incretin effect in health varies such that GIP is the predominant contributor when glucose enters the small intestine at 2kcal/ min or less, with GLP-1 contributing only at higher rates of duodenal glucose delivery (3 or 4 kcal per min) (39). It is, therefore, likely that the relative contributions of GIP and GLP-1 to the postprandial insulin response and glycemia depend on an individual’s intrinsic rate of emptying. Variations in blood glucose also affect gastric emptying. Through ‘glucose clamp’ studies, we have shown that abrupt elevations in blood glucose slows gastric emptying in a ‘dose- dependent’ manner, i.e. the slowing is dependent on the magnitude of the elevation in blood glucose (7).  Moreover, when blood glucose is ‘clamped’ at about 8 mmol/L or 144 mg/dL (i.e. physiological hyperglycemia), gastric emptying is modestly slower in both health and well-controlled type 1 diabetes (40). This may, however, not apply to spontaneous elevations in blood glucose (41)  and further clarification is required. On the other hand, acute hypoglycemia (blood glucose about 2.6 mmol/L or 46.8 mg/dL) accelerates gastric emptying markedly in both groups (42), and is likely to represent an important counter-regulatory mechanism. It follows that the acute glycemic environment, by altering gastric emptying, is likely to influence intestinal absorption of nutrients, as well as oral medications, which has hitherto been poorly appreciated in clinical practice. The impact of chronic glycemic control on gastric emptying remains uncertain.

 

Figure 2. Gastric emptying of solids (minced beef) (A), shown as the retention at 100 min (percent); and the gastric emptying of liquids (10% dextrose) (B), shown as the 50% emptying time (minutes) in 101 outpatients with diabetes. The normal range is indicated by the shaded area. Reproduced with permission from Jones et al (43).

 

In people with insulin-treated diabetes (type 1 or type 2), it is important to match exogenous insulin delivery with the availability of carbohydrate to minimize the risk of postprandial hypoglycemia. It is, therefore, intuitively likely that delayed gastric emptying predisposes to lower blood glucose concentrations in the early postprandial period (so-called ‘gastric hypoglycemia’) (44) and subsequent hyperglycemia. A study in type 1 patients reported that insulin requirements were lower in those with gastroparesis during the first 120 min post-meal, but greater during 180-240 min, compared to patients with normal gastric emptying (45). It is increasingly appreciated that greater glycemic variability is associated with worse outcomes (46). Knowledge of the rate of emptying may potentially assist the clinician in developing strategies to reduce postprandial glycemic variability in individual patients, although this needs to be evaluated formally.

 

MANAGEMENT OF SYMPTOMATIC GASTROPARESIS (FIGURE 3)

 

Figure 3. Treatment Algorithm for Diabetic Gastroparesis. PRN, as needed. Reproduced with permission from Du et al (1)

 

General Measures

 

Management of gastroparesis should be individualized. In clinical practice, patients are generally advised to consume small, frequent meals that are low in fat and fiber, with more calories as liquids than solids; ingested solids should be those that fragment readily into small particles (47). It should, however, be noted that this advice has not been rigorously evaluated and may be difficult to adhere to, so that the involvement of a dietitian is recommended (48). While optimizing glycemic control is intuitively important, given the inhibitory effect of acute hyperglycemia on gastric emptying, this has not been clearly established to be the case in the chronic setting, although the use of continuous subcutaneous glucose infusion and continuous glucose monitoring has recently been advocated (49).

 

Concurrent medications should be reviewed and, if possible, those which may slow gastric emptying (e.g. opiates, anticholinergics) ceased. In this regard, it should be appreciated that short-acting GLP-1 receptor agonists (e.g. exenatide BD and lixisenatide) and the amylin analogue, pramlintide (50), improve chronic glycemic control primarily by slowing gastric emptying.

 

Medications

 

Although studies involving pro-kinetic medications for treatment of gastroparesis have nearly all been of short duration and involved a modest number of participants, these drugs are used widely and form the mainstay of therapy. Major limitations are their adverse effect profile and tachyphylaxis i.e. diminution in pharmacological effect over time. Tachyphylaxis is thought to particularly affect motilin agonists, although this has not been well studied. Cisapride (a 5HT4 agonist) was used widely for symptomatic management, but shown subsequently to be associated with cardiac adverse effects (prolonged QT interval and ‘torsades de pointes’) and taken off the market. The most commonly used medications are discussed below. Some prokinetic drugs also have antiemetic properties.

 

Metoclopramide, a dopamine D2 receptor antagonist, improves gastric emptying (48), and can be administered via oral, intranasal, and subcutaneous routes, but is associated with central nervous system adverse events (including tardive dyskinesia), which may be irreversible. Accordingly, the US Food and Drug Administration (FDA) recommends short duration (12 weeks) use only. An intranasal formulation of metoclopramide under development was reported to be efficacious in women, but not men, implying the potential importance of gender in selecting the route of delivery (51). Metoclopramide can also be injected subcutaneously in an attempt to abort attacks of vomiting. It is the only medication that is approved currently by the FDA for the management of gastroparesis.

 

Domperidone is another D2 receptor antagonist, but unlike metoclopramide, does not cross the blood-brain barrier and is associated with fewer adverse events, with apparently comparable improvements in gastric emptying and upper gastrointestinal symptoms (48,52). Domperidone may prolong the QT interval and affect metabolism of other medications through the CYP2D6 pathway (48).

 

The antibiotic, erythromycin, is a motilin receptor agonist and is effective acutely, and inexpensive, but needs to be administered frequently and may also prolong the QT interval and interact with other medications, in this case through the CYP3A4 pathway (48). Acute, intravenous, administration of erythromycin markedly accelerates delayed gastric emptying (53) and may assist in the placement of neuroenteric tubes (54). The gastrokinetic effect of erythromycin is, however, subject to tachyphylaxis (55).

 

A number of novel agents are in Phase 2-3 trials, including ghrelin and 5HT4 receptor agonists. Ghrelin (sometimes referred to as the 'hunger' hormone) is secreted from the fundus of the stomach and has important roles in nutrient sensing and appetite regulation. Administration of ghrelin accelerates gastric emptying in both animals and humans (56). The outcome of phase 2 trials of the ghrelin agonist, relamorelin, have been promising, with a reduction in upper gastrointestinal symptoms in type 1- and 2 patients with gastroparesis as well as an acceleration of gastric emptying (57). An international phase 3 trial is in progress. Similarly, the oral highly selective 5 HT4 agonists, velusetrag (which was marketed for constipation) and prucalopride, accelerate gastric emptying (58,59). A recent study reported that 4 weeks’ of treatment with prucalopride in 32 people with gastroparesis (including 6 with diabetes) improved both symptoms and accelerated gastric emptying, although sub-group analysis of the diabetic cohort was not performed due to small numbers (59).

 

Treatment-Refractory Gastroparesis

 

Gastroparesis refractory to dietary and pharmacological intervention is debilitating for the patient and management represents a substantial challenge. Bypassing the stomach using jejunal or parenteral feeding, may be required to sustain nutrition. Gastric electrical stimulation (GES) using the ‘Enterra’ device) appeared to be a promising therapeutic option when initial unblinded studies were indicative of symptom improvement (22,48) and is currently approved by the FDA for ‘humanitarian exemption’; however, a subsequent blinded study failed to show a difference between periods where the stimulator was switched ‘on’ or ‘off’ (22,48,60,61).  A recently reported randomized cross-over trial reported a reduction in frequency of refractory vomiting following GES for a 4-month period in gastroparesis with or without diabetes but improvement in symptom control did not accelerate gastric emptying or benefit quality of life (62). Similarly, pyloric botulinum toxin injections have fared much better in uncontrolled, than in sham-controlled trials (22).  Surgical and endoscopic interventions, such as pyloroplasty and pyloromyotomy, and acupuncture have been described in literature, but lack controlled outcome data (22,48).

 

Gall Bladder

 

Gall stones are encountered more frequently in people with diabetes, which is not surprising given that risk factors for the development of stones, such as intestinal dysmotility, obesity, and hypertriglyceridemia, are more common in this group (particularly type 2 diabetes) (63). In addition, impairment of gall bladder motility and autonomic neuropathy, as well as factors such as cholesterol supersaturation and crystal nucleation promoting factors, are considered important. Common techniques used to measure gall bladder motor function include ultrasound and scintigraphy. Some studies have found increased fasting gall bladder volume, while in others, there was no difference, or even a reduction, in people with diabetes. It is possible that differences in the techniques employed (ultrasound or scintigraphy), and the presence of autonomic neuropathy may account for these discrepancies. Many studies, however, have reported impairment in postprandial gall bladder emptying in diabetes, sometimes termed ‘diabetic cholecystoparesis’ (63). It is also possible that delayed gastric emptying contributes to delayed emptying from the gall bladder. In health, acute hyperglycemia inhibits gall bladder motility in a dose-dependent manner (64). An increased prevalence of gall bladder-related disorders (including cholecystitis and cholelithiasis) is associated with the use of GLP-1 receptor agonists (65) and may potentially relate to a drug-induced prolongation of gall bladder refilling time (66). Similarly, an increase in gall-bladder disease has been reported post-bariatric surgery in obese individuals (including those with diabetes) with the implication that dramatic weight loss may predispose (67).

 

Small Intestine

 

While diabetic enteropathy is common, it has been studied much less comprehensively than diabetic gastroparesis (68). Symptoms of constipation and diarrhea are discussed in the section on large intestinal disorders in diabetes, which follows.

 

Traditionally, vagal dysfunction has been regarded as the major impairment in diabetic enteropathy. However, as is the case with gastroparesis, recent evidence has suggested a critical role for both interstitial cells of Cajal and nNOS (31). Acute hyperglycemia also has a major effect on postprandial small intestinal motility in health (and, presumably, diabetes) by reducing the amplitude of duodenal and jejunal pressure waves, as well as retarding duodenal-cecal transit (69).

 

Small intestinal bacterial overgrowth (SIBO), probably secondary to altered small intestinal motility, is commonly encountered in diabetes; estimates range between 15-40% in type 1 diabetic cohorts. A major limitation of these studies is lack of a ‘gold standard’ method for diagnosis.

 

There is limited information about small intestinal glucose absorptive function in diabetes but, based on animal models, it has been suggested that carbohydrate digestion is disordered. For example, streptozotocin-induced diabetes in rats, is associated with an increase in mucosal absorption of glucose (70). We have demonstrated that small intestinal glucose absorption is comparable in uncomplicated type 1 patients and healthy controls, but probably affected by both duodenal motility and the prevailing glycemic environment (71) - when blood glucose was elevated, intestinal glucose absorption was increased, while absorption was comparable to that in healthy controls during euglycemia. A fundamental limitation in interpreting the outcome of the numerous studies which have reported the potent modulatory effect of the rate of gastric emptying on postprandial glycemia is their failure to discriminate between effects mediated by changes in gastric emptying from those potentially secondary to changes in small intestinal transit  (72).

 

DIAGNOSIS OF ENTEROPATHY

 

Diabetic enteropathy is often a diagnosis of exclusion. It is essential to exclude underlying non-diabetes related etiologies where relevant – for example, testing for celiac disease in type 1 patients is recommended. It should be appreciated that gastrointestinal adverse effects occur frequently with commonly used anti-diabetic medications. Metformin, GLP-1RAs, SGLT2 inhibitors, and particularly alpha-glucosidase inhibitors (e.g. acarbose), which are used widely, are commonly associated with intestinal symptoms.

 

Small intestinal manometry (measurement of contractile activity) may provide mechanistic insights, but its use is limited to specialized centers. Scintigraphy can quantify small intestinal transit, but the diagnostic significance is uncertain. More recently, technologies, including ingestible wireless capsules (such as the SmartPill) and continuous tracking of capsules (3D-Transit system), have been employed; these are promising, but require further validation before clinical exploitation. Small intestinal bacterial overgrowth can be diagnosed by aspiration and culture of intestinal fluid or breath tests, but both have substantial limitations and neither technique can be regarded as a “gold standard”.

 

MANAGEMENT OF ENTEROPATHY

 

Symptom management with medications is common. Prokinetic agents used for gastroparesis are commonly employed for management of disordered intestinal motility, but much less well evaluated. Small intestinal bacterial overgrowth can be treated with antibiotics, such as rifamixin (most common but expensive), amoxicillin-clavulanic acid, or metronidazole. Not surprisingly, small intestinal bacterial overgrowth frequently relapses.

 

Large Intestine

 

The major function of the colon is to re-absorb water and electrolytes from the intraluminal contents, to concentrate and solidify the waste product, and prepare for its elimination. The most common lower gastrointestinal symptoms are constipation, diarrhea, abdominal pain, and distention. It is difficult to estimate a ‘true’ incidence and prevalence. Cohort studies have reported the presence of chronic constipation in up to 25% of people with type 1 and 2 diabetes, while that of chronic diarrhea is up to 5% (73).  Bytzer et al reported a higher prevalence of constipation and diarrhea in people with type 2 diabetes (15.6% compared with 10% in those without diabetes) (3). A recent report analyzing data from the large-scale US public survey, NHANES, found that chronic diarrhea was more common in people with type 1 and 2 diabetes compared with non-diabetic controls (~ 11% vs 6%) (74).

 

CONSTIPATION

 

The etiology of constipation in diabetes is likely to be multifactorial. A study involving only 10 patients found prolonged colonic transit time in those with constipation (13). Autonomic neuropathy is thought to be important; constipation is more common in those with diabetes and autonomic impairment (75). Validated techniques for evaluation include colonic transit scintigraphy and the use of radio-opaque markers and wireless motility capsules (76), but their utility in routine clinical practice has not been fully established.

 

Management of diabetic constipation must include a medication history review and those that may cause constipation should be ceased, if feasible (figure 4). For mild constipation, the American Diabetes Association recommends lifestyle modification such as increased physical exercise and dietary fiber. Over-the-counter laxatives (bulk, osmotic or stimulatory) such as Senna, Bisacodyl and water- soluble fiber supplements are commonly prescribed. Other medications like lactulose, linaclotide, and lubiprostone (the latter two available by prescription in the United States) have been used. There are no head-to-head trials to determine which agent is superior. However, it has been suggested that lactulose may potentiate glucose- lowering (77). Lubiprostone, which acts by direct activation of CIC-2 chloride channels on enterocytes, has been reported to improve both spontaneous bowel movements and accelerate colon transit in a randomized controlled trial in a cohort with diabetes (78). In a randomized trial cholinesterase inhibition with pyridostigmine in 30 people with diabetes (12 T1D, 18 T2D) and chronic constipation, there were superior improvements in both bowel function and colonic transit compared with placebo (79).

 

Figure 4. Algorithm for Management of Chronic Constipation in Patients with Diabetes.

 

CHRONIC DIARRHEA

 

“Diabetic diarrhea” has been traditionally considered a manifestation of autonomic neuropathy (80). The typical symptom is large volume, painless, nocturnal, diarrhea with or without fecal incontinence. Again, the diagnosis essentially represents one of exclusion and it is important to distinguish diarrhea from fecal incontinence. It should be remembered that widely used glucose-lowering therapies, including metformin (malabsorptive), acarbose (osmotic), and GLP-1 receptor agonists, not infrequently cause diarrhea. It is likely that optimizing glycemic control is important in the management of diabetic diarrhea (81), but again, this has not been rigorously evaluated. Dietary strategies include a low FODMAP (Fermentable Oligosaccharides, Disaccharides, Monosaccharides and Polyols) diet under guidance of a qualified dietitian, although this has not been evaluated specifically for the diabetes population in clinical trials. Loperamide, an over-the-counter mu opioid receptor agonist, is used widely. Bile acid sequestrants, such as cholestyramine and colesevelam, are used when bile salt malabsorption is suspected, and have the added advantage of reducing LDL cholesterol and glycated hemoglobin. Other agents include clonidine, diphenoxylate, octreotide, and ondansetron (figure 5).

 

It has been reported that people with diabetes, especially type 1 diabetes, are more likely to have inflammatory bowel disease (IBD) such as ulcerative colitis. Diabetes also appears to be an independent risk factor for Clostridium difficile infection where metformin appears to be protective, probably via its action on the gut microbiota (82). It has also been suggested that there is a link between diabetes and colorectal malignancy (83), and diabetes is associated with worse outcomes and response to colorectal surgery. Interestingly, some observational studies suggest that metformin may have chemo-preventative properties against colorectal malignancy (84).

 

Figure 5. Algorithm for Management of Chronic Diarrhea in Patients with Diabetes.

 

Rectum and Anus

 

Fecal incontinence occurs more frequently in people with diabetes and is associated with the duration of disease, and the presence of microvascular complications, including autonomic and peripheral neuropathy (85). Both internal anal sphincter tone and anal squeeze pressures are reduced in diabetes compared with healthy controls (86,87). A key step in management is to exclude important differential diagnoses, such as colorectal malignancy and irritable bowel disease (88). No single test can be regarded as ‘gold standard’, but anorectal manometry (conventional, 3D or high resolution) is very useful in clinical practice to estimate ano-rectal motor abnormalities, while barium defecography is useful to detect rectal motory, sensory and structural abnormalities (89).

 

Treatment of fecal incontinence is rarely curative, and the focus of management is to improve symptoms and quality of life. Fecal impaction with overflow can be managed by initial manual removal of stool from the rectum and enemas (promoting evacuation) and the subsequent prescription of bulk laxatives, increasing fiber intake, and toilet training. Operant reconditioning of rectosphincteric responses, called ‘biofeedback’ training, was first described by Engel et al in 1974 (90) and can be useful in treating fecal, as well as urinary, incontinence. The technique involves visual demonstration of voluntary contraction of external anal sphincter (EAS) contraction to the patient and training to improve the quality of the response (both strength and duration). Biofeedback training is effective in the longer term in only about 60% of patients in clinical trials; those with a low bowel satisfaction score and having digital evacuations fare better (91).

 

GASTROINTESTINAL EFFECTS OF ANTI-DIABETIC MEDICATIONS AND THEIR IMPLICATIONS FOR CLINICAL PRACTICE

 

Gastrointestinal adverse effects are extremely common in people treated with glucose-lowering medications for type 2 diabetes. In the case of alpha glucosidase inhibitors such as acarbose and miglitol, these effects (e.g., diarrhea and abdominal distention) are predictable sequelae of the malabsorption of carbohydrate (92) . There is new information in relation to two classes of medications (biguanides and GLP-1 receptor agonists).

 

Metformin, a biguanide of herbal origin, remains a first line pharmacological agent of choice for type 2 diabetes. The precise mechanisms of action remain uncertain, although it clearly has multiple effects, including in the liver (block gluconeogenesis), as an insulin sensitizer, and direct actions through the gut, including slowing of gastric emptying (93) . Up to 25% of people using metformin report gastrointestinal adverse events, particularly diarrhea and nausea. Common outpatient clinic strategies to minimize these include initiating treatment at a low dose (i.e., 500mg/day) and gradually up-titrating to usually ~2000 mg/day, use of extended-release formulations and avoiding ingestion on an empty stomach, although evidence to support these approaches is not robust (94).

 

Similarly, GLP-1 receptor agonists (but not DPP-IV inhibitors which lead to only a modest rise in plasma GLP-1 levels), commonly cause gastrointestinal adverse effects. As mentioned, GLP-1 is a gut-based peptide with a profound, but variable, action to slow gastric emptying. This slowing is more marked when baseline gastric emptying is relatively more rapid and is predictive of the reduction in blood glucose following a meal (95) . GLP-1 plays a physiological role to slow gastric emptying - gastric emptying is accelerated by the specific GLP-1 antagonist, exendin 9-39 (96)  and delayed by exogenous administration of GLP-1 in modestly supra-physiological plasma levels (97). Upper gastrointestinal events induced by GLP-1 are, likely to reflect, in part, delayed emptying. As effects are also observed in the fasting state, a direct action on CNS GLP-1 receptors (most notably, area postrema in the brain stem) has also been postulated. A direct effect on the gut is likely to contribute to lower gastrointestinal adverse events such as diarrhea. GLP-1 secreting cells (specialized entero-endocrine ‘L’ cells) are found throughout the gastrointestinal tract, and GLP-1 may exert a local excitatory action in smooth muscle or through the intramural autonomic plexus to increase motility and induce diarrhea (98,99) . A fundamental limitation of the vast majority of clinical trials involving GLP-1 receptor agonists is that gastrointestinal adverse effects have been assessed using participant recall and not validated questionnaires. Nevertheless, results from large cardiovascular outcome trials relating to the use of GLP-1 agonists indicate that the proportion of participants discontinuing GLP-1 receptor agonists due to adverse gastrointestinal events ranges between 4.5 to 13% (100) . Nausea appears to be the most common symptom (up to 25%), with vomiting and diarrhea reported by about 10% (101). A retrospective analysis of 32 phase-3 trials involving ‘long’ and ‘short’ acting GLP-1 receptor agonists reported that gastrointestinal adverse effects are also dose-dependent, and that ‘long’ acting GLP-1 receptor agonists are associated with less nausea and vomiting, but more diarrhea when compared to short-acting GLP-1 receptor agonists (101). Symptoms are reported most frequently at the time of initiation of a GLP-1 receptor agent and may persist for several hours or days probably dependent on the Tmax of the drug (100). Gradual titration of dose is recommended, although evidence to support this approach is uncontrolled.

 

We, and others, have demonstrated employing the gold standard technique of scintigraphy to quantify gastric emptying and both ‘long’ and ‘short’ acting GLP-1 receptor agonists delay gastric emptying, although the magnitude of this deceleration appears to be greater with ‘short’ acting GLP-1 receptor agonists (95,102-104) . Moreover, it is appreciated that GLP-1 receptor agonists may slow gastric emptying profoundly in doses much lower than those used in the management of type 2 diabetes (2). It had been suggested, incorrectly, that long acting GLP-1 receptor agonists, which are now the most widely used form, have no effect on gastric emptying with sustained use (2). A further limitation of clinical trials of GLP-1 receptor agonists is that gastric emptying has either not been measured or a sub-optimal technique used (105).

 

Instances of apparently GLP-1 receptor agonist-induced gastroparesis are increasingly appearing in the medical literature as case reports (106). The prevalence of marked delay in gastric emptying induced by GLP-1 receptor agonists remains uncertain but has stimulated guidelines in relation to their use prior to elective surgery or endoscopy. For example, the American Society of Anesthesiologists (ASA), has recently published consensus guidelines on pre-operative management of people using GLP-1 agonists and have advised withholding a long-acting agent for at least one week prior to the procedure/surgery (107). Such recommendations lack a strong evidence base. It is uncertain whether these recommendations from the ASA will be universally adopted but it appears intuitively unlikely. Recently a UK-based expert group comprising endocrinologists, anesthetists, and pharmacists have recommended against this generic advice  (107) primarily on the lack of robust data demonstrating an increased risk of aspiration under anesthesia, while being on a GLP-1 receptor agonist, that the recommended duration of avoidance may be inadequate (for example, in people taking 1mg semaglutide, avoidance of one week is likely to reduce the plasma drug concentration by about half, which is still likely to slow gastric emptying), at least in some people and reintroduction of GLP-1 receptor agonists once normal food intake has been established has not clearly defined and there is intuitively the high potential for a deterioration in glycemic control, postoperatively including an increase in glycemic variability. They instead recommend that preoperative assessment for risk of aspiration be individualized.

 

In people co-prescribed with insulin and GLP-1 receptor agonists, there is likely to be an increased risk of a mismatch between insulin delivery and availability and intestinal glucose absorption due to prolonged gastric retention to predispose to hypoglycemia. Clinicians should be circumspect in prescribing a GLP-1 agonist and insulin combination in those who have impaired awareness of hypoglycemia or suspicion of delayed gastric emptying.

 

PANCREATIC EXOCRINE SUFFICIENCY IN DIABETES

 

There is an intricate anatomical association of endocrine and exocrine components of the pancreas which appears to translate to a reciprocal relationship between endocrine and exocrine dysfunction (108). However, a wide variation in the prevalence of pancreatic exocrine insufficiency in diabetes has been reported, with evidence that it is greater in type 1 (approx. 25-75%). compared with type 2 (approx. 25-50%) diabetes (109). The majority of these studies are in hospitalized populations; it is likely that prevalence in the community is lower. Our recent study of community type 2 patients reported a lower prevalence of 9% (110). The etiology in type 1 is thought to be a combination of lack of insulin (+/- glucagon and somatostatin), autoimmunity, autonomic neuropathy, and microvascular damage while the latter two contribute to pancreatic exocrine insufficiency in type 2 diabetes – it has been suggested that this may explain why pancreatic exocrine insufficiency is more common in patients with type 1 diabetes (109). Common symptoms are variable and include diarrhea (steatorrhea), abdominal pain, and failure to thrive in children. It is important to discriminate pancreatic and non-pancreatic causes of malabsorption. The relatively deep-seated location of the pancreas hinders easy assessment of its exocrine function. Diagnostic tests can be direct or indirect (111). Direct tests involve stimulation with exogenous hormones or nutrients while simultaneously collecting pancreatic secretions via duodenal intubation. This technique has many logistical issues (high costs, requirement of expertise, invasive nature) which limits its clinical utility despite being the most sensitive and specific. Examples of indirect tests include the 3-day fecal fat, fecal elastase-1 measurement, and breath tests (14C-triolein). Of these, the most common indirect and non-invasive (as well as relatively inexpensive) test in clinical practice is measurement of fecal elastase 1. It has been suggested that a fecal elastase-1 level less than 200 ug/g stool is indicative of mild pancreatic exocrine insufficiency, and a level of 100 ug/g stool of severe pancreatic exocrine insufficiency (108). It should be appreciated that sensitivity (55%) and specificity (60%) of fecal elastase-1 in diagnosing pancreatic exocrine insufficiency are modest. Measurement of fat-soluble vitamins may be indicated.

 

The principles of general management of pancreatic exocrine insufficiency include consumption of smaller, frequent meals, abstinence from alcohol, and involvement of an experienced dietitian. Pancreatic enzyme replacement therapy is regarded as the cornerstone of treatment (108). It is uncertain whether supplementation with pancreatic enzyme replacement therapy in those with type 2 diabetes and pancreatic exocrine insufficiency reduces postprandial glycemic excursions (110). Adjunctive therapies such as acid-suppressing agents are reserved for those with symptoms despite high-dose pancreatic enzyme replacement therapy.

 

CONCLUSIONS

 

Both gastrointestinal symptoms and dysmotility are common in diabetes and represent an important component of management. Gastric emptying is also a major determinant of postprandial glycemic control and may be modulated therapeutically to improve it. Current management of disordered gastrointestinal function, particularly gastroparesis, is primarily empirical, although a number of novel agents are in development; results of these clinical trials are eagerly anticipated.

 

REFERENCES

 

  1. Du YT, Rayner CK, Jones KL, Talley NJ, Horowitz M. Gastrointestinal Symptoms in Diabetes: Prevalence, Assessment, Pathogenesis, and Management. Diabetes Care 2018; 41:627-637
  2. Jalleh RJ, Jones KL, Nauck M, Horowitz M. Accurate Measurements of Gastric Emptying and Gastrointestinal Symptoms in the Evaluation of Glucagon-like Peptide-1 Receptor Agonists. Ann Intern Med 2023; 176:1542-1543
  3. Bytzer P, Talley NJ, Leemon M, Young LJ, Jones MP, Horowitz M. Prevalence of gastrointestinal symptoms associated with diabetes mellitus: a population-based survey of 15,000 adults. Archives of internal medicine 2001; 161:1989-1996
  4. Talley NJ, Young L, Bytzer P, Hammer J, Leemon M, Jones M, Horowitz M. Impact of chronic gastrointestinal symptoms in diabetes mellitus on health-related quality of life. The American journal of gastroenterology 2001; 96:71-76
  5. Quan C, Talley NJ, Jones MP, Spies J, Horowitz M. Gain and loss of gastrointestinal symptoms in diabetes mellitus: associations with psychiatric disease, glycemic control, and autonomic neuropathy over 2 years of follow-up. The American journal of gastroenterology 2008; 103:2023-2030
  6. Horowitz M, Maddox AF, Wishart JM, Harding PE, Chatterton BE, Shearman DJ. Relationships between oesophageal transit and solid and liquid gastric emptying in diabetes mellitus. European journal of nuclear medicine 1991; 18:229-234
  7. Fraser RJ, Horowitz M, Maddox AF, Harding PE, Chatterton BE, Dent J. Hyperglycaemia slows gastric emptying in type 1 (insulin-dependent) diabetes mellitus. Diabetologia 1990; 33:675-680
  8. De Boer SY, Masclee AA, Lam WF, Lamers CB. Effect of acute hyperglycemia on esophageal motility and lower esophageal sphincter pressure in humans. Gastroenterology 1992; 103:775-780
  9. Lam WF, Masclee AA, de Boer SY, Lamers CB. Hyperglycemia reduces gastric secretory and plasma pancreatic polypeptide responses to modified sham feeding in humans. Digestion 1993; 54:48-53
  10. Monreal-Robles R, Remes-Troche JM. Diabetes and the Esophagus. Curr Treat Options Gastroenterol 2017; 15:475-489
  11. Iyer SK, Chandrasekhara KL, Sutton A. Diffuse muscular hypertrophy of esophagus. The American journal of medicine 1986; 80:849-852
  12. Tack J, Zaninotto G. Therapeutic options in oesophageal dysphagia. Nature reviews Gastroenterology & hepatology 2015; 12:332-341
  13. Maleki D, Locke GR, 3rd, Camilleri M, Zinsmeister AR, Yawn BP, Leibson C, Melton LJ, 3rd. Gastrointestinal tract symptoms among persons with diabetes mellitus in the community. Archives of internal medicine 2000; 160:2808-2816
  14. Kikendall JW. Pill-induced esophagitis. Gastroenterol Hepatol (N Y) 2007; 3:275-276
  15. Dumic I, Nordin T, Jecmenica M, Stojkovic Lalosevic M, Milosavljevic T, Milovanovic T. Gastrointestinal Tract Disorders in Older Age. Can J Gastroenterol Hepatol 2019; 2019:6757524
  16. Kassander P. Asymptomatic gastric retention in diabetics (gastroparesis diabeticorum). Annals of internal medicine 1958; 48:797-812
  17. Camilleri M, Chedid V, Ford AC, Haruma K, Horowitz M, Jones KL, Low PA, Park SY, Parkman HP, Stanghellini V. Gastroparesis. Nat Rev Dis Primers 2018; 4:41
  18. Chang J, Russo A, Bound M, Rayner CK, Jones KL, Horowitz M. A 25-year longitudinal evaluation of gastric emptying in diabetes. Diabetes care 2012; 35:2594-2596
  19. Watson LE, Phillips LK, Wu T, Bound MJ, Jones KL, Horowitz M, Rayner CK. Longitudinal evaluation of gastric emptying in type 2 diabetes. Diabetes research and clinical practice 2019; 154:27-34
  20. Marathe CS, Rayner CK, Jones KL, Horowitz M. Relationships between gastric emptying, postprandial glycemia, and incretin hormones. Diabetes care 2013; 36:1396-1405
  21. Bharucha AE, Batey-Schaefer B, Cleary PA, Murray JA, Cowie C, Lorenzi G, Driscoll M, Harth J, Larkin M, Christofi M, Bayless M, Wimmergren N, Herman W, Whitehouse F, Jones K, Kruger D, Martin C, Ziegler G, Zinsmeister AR, Nathan DM, Diabetes C, Complications Trial-Epidemiology of Diabetes I, Complications Research G. Delayed Gastric Emptying Is Associated With Early and Long-term Hyperglycemia in Type 1 Diabetes Mellitus. Gastroenterology 2015; 149:330-339
  22. Phillips LK, Deane AM, Jones KL, Rayner CK, Horowitz M. Gastric emptying and glycaemia in health and diabetes mellitus. Nature reviews Endocrinology 2015; 11:112-128
  23. Jung HK, Choung RS, Locke GR, 3rd, Schleck CD, Zinsmeister AR, Szarka LA, Mullan B, Talley NJ. The incidence, prevalence, and outcomes of patients with gastroparesis in Olmsted County, Minnesota, from 1996 to 2006. Gastroenterology 2009; 136:1225-1233
  24. Wang YR, Fisher RS, Parkman HP. Gastroparesis-related hospitalizations in the United States: trends, characteristics, and outcomes, 1995-2004. The American journal of gastroenterology 2008; 103:313-322
  25. Boronikolos GC, Menge BA, Schenker N, Breuer TG, Otte JM, Heckermann S, Schliess F, Meier JJ. Upper gastrointestinal motility and symptoms in individuals with diabetes, prediabetes and normal glucose tolerance. Diabetologia 2015; 58:1175-1182
  26. Camilleri M, Parkman HP, Shafi MA, Abell TL, Gerson L, American College of G. Clinical guideline: management of gastroparesis. The American journal of gastroenterology 2013; 108:18-37; quiz 38
  27. Marathe CS, Rayner CK, Jones KL, Horowitz M. Effects of GLP-1 and incretin-based therapies on gastrointestinal motor function. Experimental diabetes research 2011; 2011:279530
  28. Sarna SK. Cyclic motor activity; migrating motor complex: 1985. Gastroenterology 1985; 89:894-913
  29. Lin HC, Kim BH, Elashoff JD, Doty JE, Gu YG, Meyer JH. Gastric emptying of solid food is most potently inhibited by carbohydrate in the canine distal ileum. Gastroenterology 1992; 102:793-801
  30. Rigda RS, Trahair LG, Little TJ, Wu T, Standfield S, Feinle-Bisset C, Rayner CK, Horowitz M, Jones KL. Regional specificity of the gut-incretin response to small intestinal glucose infusion in healthy older subjects. Peptides 2016; 86:126-132
  31. Kashyap P, Farrugia G. Diabetic gastroparesis: what we have learned and had to unlearn in the past 5 years. Gut 2010; 59:1716-1726
  32. Mazzone A, Bernard CE, Strege PR, Beyder A, Galietta LJ, Pasricha PJ, Rae JL, Parkman HP, Linden DR, Szurszewski JH, Ordog T, Gibbons SJ, Farrugia G. Altered expression of Ano1 variants in human diabetic gastroparesis. The Journal of biological chemistry 2011; 286:13393-13403
  33. Jalleh RJ, Jones KL, Rayner CK, Marathe CS, Wu T, Horowitz M. Normal and disordered gastric emptying in diabetes: recent insights into (patho)physiology, management and impact on glycaemic control. Diabetologia 2022; 65:1981-1993
  34. Marathe CS, Horowitz M, Trahair LG, Wishart JM, Bound M, Lange K, Rayner CK, Jones KL. Relationships of Early And Late Glycemic Responses With Gastric Emptying During An Oral Glucose Tolerance Test. J Clin Endocrinol Metab 2015; 100:3565-3571
  35. Jalleh RJ, Wu T, Jones KL, Rayner CK, Horowitz M, Marathe CS. Relationships of Glucose, GLP-1, and Insulin Secretion With Gastric Emptying After a 75-g Glucose Load in Type 2 Diabetes. J Clin Endocrinol Metab 2022; 107:e3850-e3856
  36. Marathe CS, Rayner CK, Lange K, Bound M, Wishart J, Jones KL, Kahn SE, Horowitz M. Relationships of the early insulin secretory response and oral disposition index with gastric emptying in subjects with normal glucose tolerance. Physiological reports 2017; 5
  37. Abdul-Ghani MA, DeFronzo RA. Plasma glucose concentration and prediction of future risk of type 2 diabetes. Diabetes Care 2009; 32 Suppl 2:S194-198
  38. Gonlachanvit S, Hsu CW, Boden GH, Knight LC, Maurer AH, Fisher RS, Parkman HP. Effect of altering gastric emptying on postprandial plasma glucose concentrations following a physiologic meal in type-II diabetic patients. Digestive diseases and sciences 2003; 48:488-497
  39. Marathe CS, Rayner CK, Bound M, Checklin H, Standfield S, Wishart J, Lange K, Jones KL, Horowitz M. Small intestinal glucose exposure determines the magnitude of the incretin effect in health and type 2 diabetes. Diabetes 2014; 63:2668-2675
  40. Schvarcz E, Palmer M, Aman J, Horowitz M, Stridsberg M, Berne C. Physiological hyperglycemia slows gastric emptying in normal subjects and patients with insulin-dependent diabetes mellitus. Gastroenterology 1997; 113:60-66
  41. Aigner L, Becker B, Gerken S, Quast DR, Meier JJ, Nauck MA. Day-to-Day Variations in Fasting Plasma Glucose Do Not Influence Gastric Emptying in Subjects With Type 1 Diabetes. Diabetes Care 2021; 44:479-488
  42. Russo A, Stevens JE, Chen R, Gentilcore D, Burnet R, Horowitz M, Jones KL. Insulin-induced hypoglycemia accelerates gastric emptying of solids and liquids in long-standing type 1 diabetes. The Journal of clinical endocrinology and metabolism 2005; 90:4489-4495
  43. Jones KL, Russo A, Stevens JE, Wishart JM, Berry MK, Horowitz M. Predictors of delayed gastric emptying in diabetes. Diabetes care 2001; 24:1264-1269
  44. Horowitz M, Jones KL, Rayner CK, Read NW. 'Gastric' hypoglycaemia--an important concept in diabetes management. Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society 2006; 18:405-407
  45. Ishii M, Nakamura T, Kasai F, Onuma T, Baba T, Takebe K. Altered postprandial insulin requirement in IDDM patients with gastroparesis. Diabetes care 1994; 17:901-903
  46. Ceriello A, Monnier L, Owens D. Glycaemic variability in diabetes: clinical and therapeutic implications. The lancet Diabetes & endocrinology 2019; 7:221-230
  47. Olausson EA, Storsrud S, Grundin H, Isaksson M, Attvall S, Simren M. A small particle size diet reduces upper gastrointestinal symptoms in patients with diabetic gastroparesis: a randomized controlled trial. The American journal of gastroenterology 2014; 109:375-385
  48. Tornblom H. Treatment of gastrointestinal autonomic neuropathy. Diabetologia 2016; 59:409-413
  49. Calles-Escandon J, Koch KL, Hasler WL, Van Natta ML, Pasricha PJ, Tonascia J, Parkman HP, Hamilton F, Herman WH, Basina M, Buckingham B, Earle K, Kirkeby K, Hairston K, Bright T, Rothberg AE, Kraftson AT, Siraj ES, Subauste A, Lee LA, Abell TL, McCallum RW, Sarosiek I, Nguyen L, Fass R, Snape WJ, Vaughn IA, Miriel LA, Farrugia G, Consortium NGCR. Glucose sensor-augmented continuous subcutaneous insulin infusion in patients with diabetic gastroparesis: An open-label pilot prospective study. PLoS One 2018; 13:e0194759
  50. Samsom M, Szarka LA, Camilleri M, Vella A, Zinsmeister AR, Rizza RA. Pramlintide, an amylin analog, selectively delays gastric emptying: potential role of vagal inhibition. American journal of physiology Gastrointestinal and liver physiology 2000; 278:G946-951
  51. Parkman HP, Carlson MR, Gonyer D. Metoclopramide nasal spray is effective in symptoms of gastroparesis in diabetics compared to conventional oral tablet. Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society 2014; 26:521-528
  52. Patterson D, Abell T, Rothstein R, Koch K, Barnett J. A double-blind multicenter comparison of domperidone and metoclopramide in the treatment of diabetic patients with symptoms of gastroparesis. The American journal of gastroenterology 1999; 94:1230-1234
  53. Urbain JL, Vantrappen G, Janssens J, Van Cutsem E, Peeters T, De Roo M. Intravenous erythromycin dramatically accelerates gastric emptying in gastroparesis diabeticorum and normals and abolishes the emptying discrimination between solids and liquids. Journal of nuclear medicine : official publication, Society of Nuclear Medicine 1990; 31:1490-1493
  54. Griffith DP, McNally AT, Battey CH, Forte SS, Cacciatore AM, Szeszycki EE, Bergman GF, Furr CE, Murphy FB, Galloway JR, Ziegler TR. Intravenous erythromycin facilitates bedside placement of postpyloric feeding tubes in critically ill adults: a double-blind, randomized, placebo-controlled study. Critical care medicine 2003; 31:39-44
  55. Jones KL, Berry M, Kong MF, Kwiatek MA, Samsom M, Horowitz M. Hyperglycemia attenuates the gastrokinetic effect of erythromycin and affects the perception of postprandial hunger in normal subjects. Diabetes care 1999; 22:339-344
  56. Camilleri M, Acosta A. Emerging treatments in Neurogastroenterology: relamorelin: a novel gastrocolokinetic synthetic ghrelin agonist. Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society 2015; 27:324-332
  57. Lembo A, Camilleri M, McCallum R, Sastre R, Breton C, Spence S, White J, Currie M, Gottesdiener K, Stoner E, Group RMT. Relamorelin Reduces Vomiting Frequency and Severity and Accelerates Gastric Emptying in Adults With Diabetic Gastroparesis. Gastroenterology 2016; 151:87-96 e86
  58. Manini ML, Camilleri M, Goldberg M, Sweetser S, McKinzie S, Burton D, Wong S, Kitt MM, Li YP, Zinsmeister AR. Effects of Velusetrag (TD-5108) on gastrointestinal transit and bowel function in health and pharmacokinetics in health and constipation. Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society 2010; 22:42-49, e47-48
  59. Carbone F, Van den Houte K, Clevers E, Andrews CN, Papathanasopoulos A, Holvoet L, Van Oudenhove L, Caenepeel P, Arts J, Vanuytsel T, Tack J. Prucalopride in Gastroparesis: A Randomized Placebo-Controlled Crossover Study. The American journal of gastroenterology 2019; 114:1265-1274
  60. Abell T, McCallum R, Hocking M, Koch K, Abrahamsson H, Leblanc I, Lindberg G, Konturek J, Nowak T, Quigley EM, Tougas G, Starkebaum W. Gastric electrical stimulation for medically refractory gastroparesis. Gastroenterology 2003; 125:421-428
  61. McCallum RW, Snape W, Brody F, Wo J, Parkman HP, Nowak T. Gastric electrical stimulation with Enterra therapy improves symptoms from diabetic gastroparesis in a prospective study. Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association 2010; 8:947-954; quiz e116
  62. Ducrotte P, Coffin B, Bonaz B, Fontaine P, Des Varannes SB, Zerbib F, Caiazzo R, Charles Grimaud J, Mion F, Hadjadj S, Elie Valensi P, Vuitton L, Charpentier G, Ropert A, Altwegg R, Pouderoux P, Dorval E, Dapoigny M, Duboc H, Yves Benhamou P, Schmidt A, Donnadieu N, Gourcerol G, Guerci B, Group Er. Gastric Electrical Stimulation Reduces Refractory Vomiting in a Randomized Cross-Over Trial. Gastroenterology 2019;
  63. Pazzi P, Scagliarini R, Gamberini S, Pezzoli A. Review article: gall-bladder motor function in diabetes mellitus. Alimentary pharmacology & therapeutics 2000; 14 Suppl 2:62-65
  64. Gielkens HA, van Oostayen JA, Frolich M, Biemond I, Lamers CB, Masclee AA. Dose-dependent inhibition of postprandial gallbladder motility and plasma hormone secretion during acute hyperglycemia. Scandinavian journal of gastroenterology 1998; 33:1074-1079
  65. Marso SP, Daniels GH, Brown-Frandsen K, Kristensen P, Mann JF, Nauck MA, Nissen SE, Pocock S, Poulter NR, Ravn LS, Steinberg WM, Stockner M, Zinman B, Bergenstal RM, Buse JB, Committee LS, Investigators LT. Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes. The New England journal of medicine 2016; 375:311-322
  66. Gether IM, Nexoe-Larsen C, Knop FK. New Avenues in the Regulation of Gallbladder Motility-Implications for the Use of Glucagon-Like Peptide-Derived Drugs. The Journal of clinical endocrinology and metabolism 2019; 104:2463-2472
  67. Pineda O, Maydon HG, Amado M, Sepulveda EM, Guilbert L, Espinosa O, Zerrweck C. A Prospective Study of the Conservative Management of Asymptomatic Preoperative and Postoperative Gallbladder Disease in Bariatric Surgery. Obes Surg 2017; 27:148-153
  68. Cogliandro RF, Rizzoli G, Bellacosa L, De Giorgio R, Cremon C, Barbara G, Stanghellini V. Is gastroparesis a gastric disease? Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society 2019; 31:e13562
  69. Russo A, Fraser R, Horowitz M. The effect of acute hyperglycaemia on small intestinal motility in normal subjects. Diabetologia 1996; 39:984-989
  70. Adachi T, Mori C, Sakurai K, Shihara N, Tsuda K, Yasuda K. Morphological changes and increased sucrase and isomaltase activity in small intestines of insulin-deficient and type 2 diabetic rats. Endocrine journal 2003; 50:271-279
  71. Rayner CK, Schwartz MP, van Dam PS, Renooij W, de Smet M, Horowitz M, Smout AJ, Samsom M. Small intestinal glucose absorption and duodenal motility in type 1 diabetes mellitus. The American journal of gastroenterology 2002; 97:3123-3130
  72. Chaikomin R, Wu KL, Doran S, Jones KL, Smout AJ, Renooij W, Holloway RH, Meyer JH, Horowitz M, Rayner CK. Concurrent duodenal manometric and impedance recording to evaluate the effects of hyoscine on motility and flow events, glucose absorption, and incretin release. Am J Physiol Gastrointest Liver Physiol 2007; 292:G1099-1104
  73. Lysy J, Israeli E, Goldin E. The prevalence of chronic diarrhea among diabetic patients. The American journal of gastroenterology 1999; 94:2165-2170
  74. Sommers T, Mitsuhashi S, Singh P, Hirsch W, Katon J, Ballou S, Rangan V, Cheng V, Friedlander D, Iturrino J, Lembo A, Nee J. Prevalence of Chronic Constipation and Chronic Diarrhea in Diabetic Individuals in the United States. The American journal of gastroenterology 2019; 114:135-142
  75. Prasad VG, Abraham P. Management of chronic constipation in patients with diabetes mellitus. Indian J Gastroenterol 2017; 36:11-22
  76. Rao SS, Camilleri M, Hasler WL, Maurer AH, Parkman HP, Saad R, Scott MS, Simren M, Soffer E, Szarka L. Evaluation of gastrointestinal transit in clinical practice: position paper of the American and European Neurogastroenterology and Motility Societies. Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society 2011; 23:8-23
  77. Panesar PS, Kumari S. Lactulose: production, purification and potential applications. Biotechnol Adv 2011; 29:940-948
  78. Christie J, Shroff S, Shahnavaz N, Carter LA, Harrison MS, Dietz-Lindo KA, Hanfelt J, Srinivasan S. A Randomized, Double-Blind, Placebo-Controlled Trial to Examine the Effectiveness of Lubiprostone on Constipation Symptoms and Colon Transit Time in Diabetic Patients. The American journal of gastroenterology 2017; 112:356-364
  79. Bharucha AE, Low P, Camilleri M, Veil E, Burton D, Kudva Y, Shah P, Gehrking T, Zinsmeister AR. A randomised controlled study of the effect of cholinesterase inhibition on colon function in patients with diabetes mellitus and constipation. Gut 2013; 62:708-715
  80. Celik AF, Osar Z, Damci T, Pamuk ON, Pamuk GE, Ilkova H. How important are the disturbances of lower gastrointestinal bowel habits in diabetic outpatients? The American journal of gastroenterology 2001; 96:1314-1316
  81. Vinik AI, Erbas T. Diabetic autonomic neuropathy. Handb Clin Neurol 2013; 117:279-294
  82. Eliakim-Raz N, Fishman G, Yahav D, Goldberg E, Stein GY, Zvi HB, Barsheshet A, Bishara J. Predicting Clostridium difficile infection in diabetic patients and the effect of metformin therapy: a retrospective, case-control study. Eur J Clin Microbiol Infect Dis 2015; 34:1201-1205
  83. Yuhara H, Steinmaus C, Cohen SE, Corley DA, Tei Y, Buffler PA. Is diabetes mellitus an independent risk factor for colon cancer and rectal cancer? The American journal of gastroenterology 2011; 106:1911-1921; quiz 1922
  84. Franciosi M, Lucisano G, Lapice E, Strippoli GF, Pellegrini F, Nicolucci A. Metformin therapy and risk of cancer in patients with type 2 diabetes: systematic review. PLoS One 2013; 8:e71583
  85. Epanomeritakis E, Koutsoumbi P, Tsiaoussis I, Ganotakis E, Vlata M, Vassilakis JS, Xynos E. Impairment of anorectal function in diabetes mellitus parallels duration of disease. Dis Colon Rectum 1999; 42:1394-1400
  86. Sun WM, Katsinelos P, Horowitz M, Read NW. Disturbances in anorectal function in patients with diabetes mellitus and faecal incontinence. Eur J Gastroenterol Hepatol 1996; 8:1007-1012
  87. Schiller LR, Santa Ana CA, Schmulen AC, Hendler RS, Harford WV, Fordtran JS. Pathogenesis of fecal incontinence in diabetes mellitus: evidence for internal-anal-sphincter dysfunction. The New England journal of medicine 1982; 307:1666-1671
  88. Norton C, Thomas L, Hill J, Guideline Development G. Management of faecal incontinence in adults: summary of NICE guidance. BMJ 2007; 334:1370-1371
  89. Carrington EV, Scott SM, Bharucha A, Mion F, Remes-Troche JM, Malcolm A, Heinrich H, Fox M, Rao SS, International Anorectal Physiology Working G, the International Working Group for Disorders of Gastrointestinal M, Function. Expert consensus document: Advances in the evaluation of anorectal function. Nature reviews Gastroenterology & hepatology 2018; 15:309-323
  90. Engel BT, Nikoomanesh P, Schuster MM. Operant conditioning of rectosphincteric responses in the treatment of fecal incontinence. The New England journal of medicine 1974; 290:646-649
  91. Narayanan SP, Bharucha AE. A Practical Guide to Biofeedback Therapy for Pelvic Floor Disorders. Curr Gastroenterol Rep 2019; 21:21
  92. Hanefeld M. The role of acarbose in the treatment of non-insulin-dependent diabetes mellitus. J Diabetes Complications 1998; 12:228-237
  93. Sansome DJ, Xie C, Veedfald S, Horowitz M, Rayner CK, Wu T. Mechanism of glucose-lowering by metformin in type 2 diabetes: Role of bile acids. Diabetes Obes Metab 2020; 22:141-148
  94. Bonnet F, Scheen A. Understanding and overcoming metformin gastrointestinal intolerance. Diabetes Obes Metab 2017; 19:473-481
  95. Linnebjerg H, Park S, Kothare PA, Trautmann ME, Mace K, Fineman M, Wilding I, Nauck M, Horowitz M. Effect of exenatide on gastric emptying and relationship to postprandial glycemia in type 2 diabetes. Regul Pept 2008; 151:123-129
  96. Deane AM, Nguyen NQ, Stevens JE, Fraser RJ, Holloway RH, Besanko LK, Burgstad C, Jones KL, Chapman MJ, Rayner CK, Horowitz M. Endogenous glucagon-like peptide-1 slows gastric emptying in healthy subjects, attenuating postprandial glycemia. J Clin Endocrinol Metab 2010; 95:215-221
  97. Little TJ, Pilichiewicz AN, Russo A, Phillips L, Jones KL, Nauck MA, Wishart J, Horowitz M, Feinle-Bisset C. Effects of intravenous glucagon-like peptide-1 on gastric emptying and intragastric distribution in healthy subjects: relationships with postprandial glycemic and insulinemic responses. J Clin Endocrinol Metab 2006; 91:1916-1923
  98. Hellström PM, Näslund E, Edholm T, Schmidt PT, Kristensen J, Theodorsson E, Holst JJ, Efendic S. GLP-1 suppresses gastrointestinal motility and inhibits the migrating motor complex in healthy subjects and patients with irritable bowel syndrome. Neurogastroenterol Motil 2008; 20:649-659
  99. Nakamori H, Iida K, Hashitani H. Mechanisms underlying the prokinetic effects of endogenous glucagon-like peptide-1 in the rat proximal colon. Am J Physiol Gastrointest Liver Physiol 2021; 321:G617-g627
  100. Nauck MA, Quast DR, Wefers J, Meier JJ. GLP-1 receptor agonists in the treatment of type 2 diabetes - state-of-the-art. Mol Metab 2021; 46:101102
  101. Bettge K, Kahle M, Abd El Aziz MS, Meier JJ, Nauck MA. Occurrence of nausea, vomiting and diarrhoea reported as adverse events in clinical trials studying glucagon-like peptide-1 receptor agonists: A systematic analysis of published clinical trials. Diabetes Obes Metab 2017; 19:336-347
  102. Maselli D, Atieh J, Clark MM, Eckert D, Taylor A, Carlson P, Burton DD, Busciglio I, Harmsen WS, Vella A, Acosta A, Camilleri M. Effects of liraglutide on gastrointestinal functions and weight in obesity: A randomized clinical and pharmacogenomic trial. Obesity (Silver Spring) 2022; 30:1608-1620
  103. Jones KL, Huynh LQ, Hatzinikolas S, Rigda RS, Phillips LK, Pham HT, Marathe CS, Wu T, Malbert CH, Stevens JE, Lange K, Rayner CK, Horowitz M. Exenatide once weekly slows gastric emptying of solids and liquids in healthy, overweight people at steady-state concentrations. Diabetes Obes Metab 2020; 22:788-797
  104. Jensterle M, Ferjan S, Ležaič L, Sočan A, Goričar K, Zaletel K, Janez A. Semaglutide delays 4-hour gastric emptying in women with polycystic ovary syndrome and obesity. Diabetes Obes Metab 2023; 25:975-984
  105. Horowitz M, Rayner CK, Marathe CS, Wu T, Jones KL. Glucagon-like peptide-1 receptor agonists and the appropriate measurement of gastric emptying. Diabetes Obes Metab 2020; 22:2504-2506
  106. Kalas MA, Galura GM, McCallum RW. Medication-Induced Gastroparesis: A Case Report. J Investig Med High Impact Case Rep 2021; 9:23247096211051919
  107. Dhatariya K, Levy N, Russon K, Patel A, Frank C, Mustafa O, Newland-Jones P, Rayman G, Tinsley S, Dhesi J. Perioperative use of glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter 2 inhibitors for diabetes mellitus. Br J Anaesth 2024;
  108. Toouli J, Biankin AV, Oliver MR, Pearce CB, Wilson JS, Wray NH, Australasian Pancreatic C. Management of pancreatic exocrine insufficiency: Australasian Pancreatic Club recommendations. The Medical journal of Australia 2010; 193:461-467
  109. Piciucchi M, Capurso G, Archibugi L, Delle Fave MM, Capasso M, Delle Fave G. Exocrine pancreatic insufficiency in diabetic patients: prevalence, mechanisms, and treatment. Int J Endocrinol 2015; 2015:595649
  110. Riceman MD, Bound M, Grivell J, Hatzinikolas S, Piotto S, Nguyen NQ, Jones KL, Horowitz M, Rayner CK, Phillips LK. The prevalence and impact of low faecal elastase-1 in community-based patients with type 2 diabetes. Diabetes research and clinical practice 2019; 156:107822
  111. Altay M. Which factors determine exocrine pancreatic dysfunction in diabetes mellitus? World J Gastroenterol 2019; 25:2699-2705

Understanding Ethical Dilemmas in Pediatric Lipidology- Genetic Testing in Youth

ABSTRACT

 

Over the past 25 years there has been an increasing focus on early identification of individuals at-risk of premature cardiovascular disease (CVD), with the goal of improving outcomes and reducing premature CVD-related events such as myocardial infarction and stroke. In 2011, a National Heart, Lung and Blood Institute (NHLBI) Expert Panel recommended universal cholesterol screening of all children, irrespective of health status and family history, beginning at 10 years-of-age (range 9-11) and, if normal, repeated once between 17 and 20 years-of-age (1). Children found to have significant hypercholesterolemia are encouraged to adopt a heart-healthy lifestyle and, when appropriate, offered treatment with lipid-lowering medication, starting at 8 years-of-age and older. Research studies have convincingly demonstrated the safety and effectiveness of lipid-lowering medications in reducing risk and improving outcomes in adults, providing indirect support for universally cholesterol screening of children. Data from individuals with familial hypercholesterolemia (FH), treated for 20 years with pravastatin starting at a young age, have shown no adverse effects of growth, development, or reproductive function during adulthood. Shared decision-making in this population, however, is complex. Unlike most adults who are capable of making informed healthcare decisions, children have a wide range of developmentally-related intellectual and cognitive function, creating unique challenges in their ability to 1) understand long-term risk and benefit; and 2) make informed decisions regarding testing and medical management. In addition, some children have mental health and developmental disabilities that limit their cognitive abilities and judgement. Furthermore, legal guardians have the moral responsibility and legal right to make decisions on behalf of a minor.  In this article, we will discuss 1) privacy, discrimination, and the legal rights of children; 2) ethical considerations and concerns and 3) recommendations for clinicians when providing medical care of children with disorders of lipid and lipoprotein metabolism.

 

OVERVIEW OF LIPID AND LIPOPROTEIN DISORDERS IN YOUTH

 

Children with abnormal levels of lipids and lipoproteins are generally identified as result of targeted, universal or occasionally, coincidental testing.  Current recommendations for lipid screening of children are listed below.

 

  1. Targeted screening in all children ≥2 years of age in whom:
    1. One or both biologic parents are known to have hypercholesterolemia or are receiving lipid-lowering medications
    2. Who have a family history of premature cardiovascular disease (men <55 years of age and women <65 years of age)
    3. Whose family history is unknown (e.g., children who were adopted)
  2. Universal screening of all children 10 years of age (range 9-11), regardless of general health or the presence/absence of CVD risk factors. If normal, repeat screening is recommended at 17-20 years-of-age.

 

Since hypercholesterolemia is often caused by an underlying genetic mutation, such as in FH, cascade screening of biologic relatives is also recommended.  Cascade screening involves systematic testing of all first-degree relatives (parents and siblings) of a child with FH, followed by testing of second- and third-degree relatives if any of the first-degree relatives are affected. The most practical approach to cascade screening is biochemical testing of cholesterol, which is inexpensive, readily available and can be performed without the need for fasting. However, up to 25% of family members may be misdiagnosed as being either affected or unaffected when screening is based on cholesterol levels alone. Testing for a known genetic mutation in the family combined with fasting or non-fasting LDL-C levels will yield the most definitive information. While helpful if known, the child’s family history is often unknown, incomplete, or inaccurate. Reliance upon family history alone fails to identify as many as 30-60% of children with significant hypercholesterolemia. For additional information see the Endotext chapters entitled “Guidelines for Screening, Prevention, Diagnosis, and Treatment of Dyslipidemia in Children and Adolescents” and “Principles of Genetic Testing for Dyslipidemia in Children”.

 

Abnormalities of lipids and lipoproteins in youth may be caused by genetic mutations, acquired conditions, or both.  Those with acquired conditions, such as obesity and insulin resistance, are encouraged to adopt a heart-healthy lifestyle, which includes a low-fat,   calorically appropriate carbohydrate diet, weight loss if overweight or obese, participation in 30-60 minutes of moderate-to-vigorous physical activity per day and smoking avoidance or cessation.  Those suspected of having a genetic mutation are generally diagnosed based upon clinical criteria with or without genetic testing.

 

Genetic mutations that cause lipid and lipoprotein abnormalities vary depending upon the mode of inheritance (autosomal co-dominant vs autosomal recessive), the type of mutation present (slice vs missense), the number of genes involved (monogenic vs polygenic) and their phenotypic expression. When a genetic mutation is present, its expression may potentially be modified by other gene abnormalities (often small effect mutations) and environmental factors (e.g., obesity, insulin resistance, medications). For additional information see the Endotext chapter entitled “Genetics and Dyslipidemia”.

 

Early identification and treatment of children with clinically suspected or genetically confirmed FH has become increasingly common.  However long-term outcome studies demonstrating the safety and efficacy of this approach are lacking. Since lifestyles and therapeutic options are likely to change over the extended period of time that would be necessary to reach “hard” end points in children with FH, such as myocardial infarction and stroke, outcome studies are unlikely to be forthcoming.  Given the significant benefit statins have shown in reducing CVD-related mortality in adults, it has been suggested that withholding effective treatment in moderate-to-high risk children would be unethical (2). For additional information see the Endotext chapter entitled “Familial Hypercholesterolemia”.

 

A novel approach has been suggested to potentially lower costs and avoid prolonged exposure of at-risk children to lipid-lowering medication, while offering timely and presumably effective intervention.  Rather than continuous treatment implemented at an early age, Robinson and Gidding proposed intermittent lipid-lowering medication guided by noninvasive measures of atherosclerosis, such as carotid intima-media thickness (3). As with conventional approaches, the goal of such therapy would be regression of atherosclerotic lesions, with retreatment periodically throughout adulthood as needed.  While intriguing, the benefits of this recommendation have not been proven.

 

To date recommendations for early identification and treatment of children with hypercholesterolemia have focused primary on the potential benefits.  Fortunately, no significant physical or psychological harms have been shown in children who have undergone early screening and treatment. However, healthcare providers who advocate screening, genetic testing and treatment of children should carefully consider potential ethical issues, including the rights of the child to participate in clinical decision-making, the presumed benefits to the child and the family, as well as potential harms.

 

 

Over the last 50 years, in the U.S. Congress has passed a variety of laws to assure the privacy of an individual’s health information and eliminate discrimination based upon an individual’s health status. While most clinicians have an awareness of these laws, it is unclear how clinicians use this information in clinical decision-making, particularly as it relates to the current or future interests of the child.

 

Privacy

 

In 1996, Congress passed the Health Insurance Portability and Accountability Act or HIPAA. This law mandates the protection and confidential handling of protected health information, including genetic information. Furthermore, HIPAA states that genetic information in the absence of a diagnosis (e.g., predictive genetic test results) cannot be considered a pre-existing condition. Since children with heterozygous FH are rarely affected by their hypercholesterolemia during childhood, genetic testing would be considered “predictive” of adult-onset disease.  Children found to have a pathogenic or presumed pathogenic mutation, therefore, are afforded privacy under HIPPA and are not consider to have a pre-existing condition.

 

The Genetic Information Nondiscrimination Act (GINA), passed in 2008, adds to HIPPA by prohibiting health insurers and employers from asking or requiring a person to take a genetic test and using genetic information in 1) setting insurance rates and 2) making employment decisions.

 

Discrimination and Pre-existing Medical Conditions

 

Prior to 2014, insurance companies based eligibility for and the cost of health insurance on the presence or absence of pre-existing medical conditions.  A pre-existing condition is typically one for which an individual has received treatment or a diagnosis before being enrolled in a health plan.  Because they were determined by insurance providers, criteria defining pre-existing conditions varied widely. This meant that when applying for health insurance individuals, including children, previously diagnosed with and/or treated for hypercholesterolemia were considered to have a pre-existing condition.

 

Since 2014, with the passage of the Affordable Care Act, insurance companies can no longer deny coverage or discriminate against individuals due to a pre-existing condition. Nor can individuals be charged significantly higher premiums, subjected to an extended waiting period, or have their benefits curtailed or coverage withdrawn because of a pre-existing condition.  However, this protection does not extend to an individual’s ability to obtain nor the rates charged for life, disability, and long-term care insurance.

 

Despite these reassurances, in some cases exemptions may apply, particularly for members of the United States military, veterans obtaining healthcare through the Veterans Administration (VA), and individuals who receive services through the Indian Health Service.

 

Children’s Rights

 

A child’s rights can be considered in two parts 1) nurturance rights, i.e., the right to care and protection and 2) self-determination rights, i.e., the right to have some measure of control over their own lives.  Historically, society has focused on the former. Increasingly there is a growing emphasis on shared decision-making in medicine that recognizes children have the right to take an active part in many of the decisions regarding their own lives. While such efforts are commendable, the ability of children to become actively and willfully involved in the decision process is complicated by normal, and sometimes abnormal, growth and development. This raises an important question about a child’s ability to understand their rights in a reasonable and meaningful way (4). It also assumes that healthcare providers are trained, capable of and willing to provide developmentally-appropriate information to children in a comprehendible and non-threatening way.

 

In the 1980s, Melton (5, 6) suggested that children progress through three distinct stage-like levels of reasoning about rights: Level 1, children exhibit an egocentric orientation where they perceive rights in terms of privileges that are bestowed or withdrawn on the whims of an authority figure. Level 2 children see rights as being based on fairness, maintaining social order and obeying rules. Finally, in Level 3 rights are seen in terms of abstract universal principles. Subsequent models favored the gradual acquisition of context specific knowledge (7-9).  When and how well a child progresses from limited to abstract reasoning presents challenges for physicians who strive to involve children in decisions regarding early screening and intervention for CVD risk prevention.

 

MIGHT EARLY DIAGNOSIS AND TREATMENT OF HYPERCHOLESTEROLEMIA COMPROMISE A CHILD’S FUTURE RIGHTS?

 

Laws such as HIPPA, the Affordable Care Act, and GINA protect privacy and prohibit health insurance companies from denying coverage or discriminating against individuals due to a pre-existing condition, including hypercholesterolemia. Nonetheless, current laws do not preclude an individual being denied other forms of coverage, such as life, disability, or long-term care insurance. Furthermore, laws governing privacy, healthcare, and insurance coverage are subject to change over the course of the child's lifetime. This potential vulnerability needs to be considered by clinicians who provide care to children and fully disclosed to the family prior to diagnostic evaluation and treatment of children with hypercholesterolemia. To the extent that they can participate in such conversations, children should be included in the clinical decision-making. The accelerated risk of atherosclerosis beginning in young adults notwithstanding, the urgency of screening and early treatment of children needs to be considered in the context of the child’s overall best interest and, ideally, with their approval.  

 

ETHICAL CONSIDERATIONS AND CONCERNS

 

Since 1953, there has been an impressive increase in new technology and expanded uses of genetic testing and screening. Application of these diagnostic tools in minors has increasingly become commonplace, raising concerns about ethical issues. While pediatric screening and genetic testing are much less common outside of newborn screening, universal screening and increased use of genetic testing has been advocated by many national professional organizations and societies. Justification for such recommendations cite early identification of a child with an underlying genetic abnormality as an opportunity to initiate treatment that may prevent or reduce morbidity or mortality.

 

Over the past 50 years, genetic testing has increasingly played an important role in helping to understand the basis of many disorders of lipid and lipoprotein metabolism, identifying those who are affected and aiding our understanding of an individual’s risk. While only a minority of individuals with hypercholesterolemia who undergo genetic testing are found to have a pathogenic mutation, epidemiologic and Medallion randomization studies suggest these individuals are at significantly higher risk of premature ASCVD-related morbidity and mortality than the general population. 

 

Genetic testing of an asymptomatic child based upon an abnormal blood test and/or positive family history for a specific genetic condition, such as FH, has also been proposed, particularly if early treatment may affect future morbidity or mortality.  Some genetic tests can reasonability predict disease which only manifest in adults. 

 

Ultimately, decisions about whether to offer genetic testing and screening should be driven by the best interest of the child. This, perhaps, is best determined by a thoughtful discussion between the child’s healthcare provider, the parents, and, when appropriate, the child.  Current recommendations and guidelines suggest early intervention to achieve the best outcomes. Yet, there is no clear definition as to the optimum age at which intervention should be recommended, nor clear understanding about a child’s ability to understand and make a rational decision regarding testing and/or treatment.

 

The genetic testing of children raises specific considerations. Because of the need to respect a children's rights, caution has been advised in performing genetic tests during childhood. Newborn genetic testing is now ubiquitous, yet it is not always seen as routine for older children despite specific indications. Testing for drug responsiveness or disease susceptibility is supported by the ethical principle of beneficence when the benefit/risk ratio is in favor of discovering these results during childhood. Possible harms are seen when such knowledge may impact a child negatively, or foreclose future autonomy about the decision to accept the consequences of such testing. Therefore, there is a difference between genetic confirmation in symptomatic children, and that of pre-symptomatic children in which the benefit may accrue later, but the risks may occur in childhood. Such immediate risks potentially include stigmatization by the disease, depression, or decreased self-esteem. Conversely, altered family dynamics may result in parental favoritism, and survivor's guilt in siblings who test negative. This limitation on future autonomy is not confined to just refusing or allowing an adult decision for testing, but also dealing with the impact on future employment, education, and social relationships when the diagnosis is made at an early age.

 

Tests which help diagnose an ongoing, treatable condition that could affect current and future manifestations and complications clearly can be in the child's best interest. However, when a child is asymptomatic and the disorder is late-onset, it is no longer obvious that such a diagnosis during childhood is in the child's best interest. Therefore, it is advised the children only undergo genetic testing when there is immediate medical benefit in childhood, either through diagnosis and treatment of a disease manifesting in the pediatric age range, or a disease whose prevention is possible and should not be delayed. Under these circumstances, informed decision-making is essential, with parental permission being linked to the child's assent whenever possible.

 

CHOLESTEROL SCREENING AND TREATMENT

 

Currently, universally cholesterol testing is recommended for all children in the U.S., starting at 10 years-of-age (range 9-11). The primary purpose of cholesterol screening is to identify individuals with familial hypercholesterolemia.  For those found to have a significant elevation of cholesterol a low-fat diet is recommended. Lipid-lowering medications, such as a statin, are recommended for children with a persistently elevated LDL-C, starting at approximately 8-10 years-of-age. 

 

Genetic Testing

 

Genetic testing of all children suspected of having FH has been recommended (10). The purported benefits of genetic testing are 1) to assist in clinical decision-making regarding the need for lipid-lowering medication, 2) to help determine the appropriate on-treatment goal of LCL cholesterol; and 3) facilitate cascade screening of biologic relatives.

 

To help better understand the complexities of genetic testing and provide guidance, in 2013 both the American Academy Pediatrics (AAP) and the American College of Medical Genetics (ACMG) published recommendations for genetic testing of children. These guidelines are particularly relevant for those providing care for children with lipid and lipoprotein disorders since, with the exception of homozygous disease, children with heterozygous FH are asymptomatic. Hence, genetic testing in this unique population would be considered “predictive” of adult disease.

 

However, although there is much emphasis on early screening and genetic testing of children for FH, children have a variety of genetic conditions that affect other lipids and lipoproteins as well, such as triglycerides. The infantile form of lysosomal acid lipase deficiency, for example, is generally fatal in the absence of early diagnosis and enzyme replacement therapy. Thus, biochemical screening and genetic testing in this condition becomes imperative in order to reduce early morbidity and prevent premature mortality. Examples of other conditions in which there is a sense of urgency include familial chylomicronemia syndrome (FCS), cerebrotendinous xanthomatosis (CTX), and homozygous mutations of MTTP (abetalipoproteinemia), APOB (familial hypobetalipoproteinemia), and SAR1 (chylomicron retention disease).  When considering screening and genetic testing of children with lipid and lipoprotein disorders, therefore, “one size” clearly does not fit all circumstances. Clinicians must consider each child and condition as unique, carefully weighing the presumed benefits and potential harms individually, before making diagnostic and therapeutic recommendations.  

 

In deciding whether a child should undergo predictive genetic testing, the AAP and ACMG emphasize that the focus must be on the child’s medical best interest. Both organizations concluded that unless ameliorative interventions are available during childhood, children should not undergo testing for predispositions to adult-onset conditions and clinicians should generally decline to order testing. With the exception of those with homozygous FH, this suggests that children with heterozygous disease could defer treatment until adulthood. There is convincing evidence using noninvasive techniques, however, that early initiation of lipid-lowering medication can significantly reduce subclinical atherosclerosis. It is presumed that as a consequence of early and persistent LDL-cholesterol lowering that ASCVD-related events will be prevented or delayed. Yet proof of improved outcomes is currently limited and generally inferred from adult data.  

 

The AAP and ACMG did recognize that the potential psychosocial benefits and harms to the child and the extended family also need to be carefully considered. Extending consideration beyond the child’s medical best interest not only acknowledges the traditional deference given to parents about how they raise their children, but also recognizes that the interest of a child is embedded in and dependent on the interests of the family unit.

 

Predictive genetic testing for adult-onset conditions generally should be deferred unless an intervention initiated in childhood may reduce morbidity or mortality. In some families, the psychosocial burden of ambiguity may be so great as to justify testing during childhood, particularly when parents and mature adolescents jointly express interest in doing so.

 

AAP AND ACMG RECOMMENDATIONS

 

Genetic testing performed in children can be considered either as diagnostic or predictive (11).

 

  1. Diagnostic Genetic Testing - Is performed on a child with physical, developmental, or behavioral features consistent with a potential genetic syndrome or for pharmacogenetic drug selection and dosing decisions. Medical benefits include the possibility of preventive or therapeutic interventions, decisions about surveillance, the clarification of diagnosis and prognosis, and recurrence risks. If the medical benefits of a test are uncertain, will not be realized until a later time, or do not clearly outweigh the medical risks, the justification for testing is less compelling.

 

  1. Predictive Genetic Testing - Is performed on an asymptomatic child with a positive family history for a specific genetic condition, particularly if early surveillance or treatment may affect morbidity or mortality. When there is uncertainty that the presence of a genetic mutation will give rise to clinical manifestations, testing is referred to as “pre-dispositional” testing. Most predictive genetic testing for adult-onset conditions is pre-dispositional.

 

Recommendations for Genetic Testing of Children

 

  1. General
    1. Decisions about whether to offer genetic testing and screening should be driven by the best interest of the child.
    2. Genetic testing is best offered in the context of genetic counseling.
  2. Diagnostic Testing
    1. In a child with symptoms of a genetic condition:
      1. Parents or guardians should be informed about the risks and benefits of testing, and their permission should be obtained.
      2. Ideally and when appropriate, the assent of the child should be obtained.
    2. When performed for therapeutic purposes:
      1. Pharmacogenetic testing of children is acceptable, with permission of parents or guardians and, when appropriate, the child’s assent.
      2. If a pharmacogenetic test result carries implications beyond drug targeting or dose-responsiveness, the broader implications should be discussed before testing.
    3. Newborn Screening
      1. The AAP and ACMG support the mandatory offering of newborn screening for all children. Parents should have the option of refusing the procedure, and an informed refusal should be respected.
    4. Carrier Testing
      1. The AAP and ACMG do not support routine carrier testing in minors when such testing does not provide health benefits in childhood. This recommendation accords with previous statements supporting the future decisional autonomy of the minor, who will be able to make an informed choice about testing once he or she reaches the age of majority.
      2. For pregnant adolescents or for adolescents considering reproduction, genetic testing and screening should be offered as clinically indicated, and the risks and benefits should be clearly explained.
    5. Predictive Genetic Testing
      1. Parents or guardians may authorize predictive genetic testing for asymptomatic children at risk of childhood onset conditions.
      2. Ideally, the assent of the child should be obtained.
      3. Predictive genetic testing for adult-onset conditions generally should be deferred unless an intervention initiated in childhood may reduce morbidity or mortality.
      4. An exception might be made for families in whom diagnostic uncertainty poses a significant psychosocial burden, particularly when an adolescent and his or her parents concur in their interest in predictive testing.
      5. For ethical and legal reasons, health care providers should be cautious about providing predictive genetic testing to minors without the involvement of their parents or guardians, even if a minor is mature. Results of such tests may have significant medical, psychological, and social implications, not only for the minor, but also for other family members.

 

Potential Benefits and Harms of Predictive Genetic Testing of Children. Adapted from (11)

Medical

 

Benefits

Possibility of evolving therapeutic interventions, targeted surveillance, refinement of prognosis and clarification of diagnosis

Harms

Misdiagnosis to the extent that genotype does not correlate with phenotype, ambiguous results in which a specific phenotype cannot be predicted and use of ineffective or harmful preventive or therapeutic interventions.

Psychosocial

 

Benefits

Reduction of uncertainty and anxiety, the opportunity for psychological adjustment, the ability to make realistic life plans and sharing the information with family members.

Harms

Alteration of self-image, distortion of parental perception of the child, increased anxiety and guilt, altered expectation by self and others, familial stress related to identification of other at-risk family members, difficulty obtaining life and/or disability insurance, and the detection of misattributed parentage.

Reproductive

 

Benefits

Avoiding the birth of a child with genetic disease or having time to prepare for the birth of a child with genetic disease.

Harms

Changing family-planning decisions on the basis of social pressures.

 

It is essential that parents, guardians and maturing minors receive genetic counseling before undergoing predictive testing, which includes a discussion of the limits of genetic knowledge and treatment capabilities as well as the potential for psychological harm, stigmatization, and discrimination (12).

 

If an adolescent declines genetic testing, and the benefits of knowing will not be relevant for years to decades, the adolescent’s decision should be final. If a minor is young or immature, genetic testing should be delayed until the minor can actively participate. 

 

If predictive testing of conditions for which childhood interventions will ameliorate future harm, this may favor early testing. In such cases, parental authority to determine medical treatment supersedes the minor’s preferences with regard to liberty and privacy.

 

CONCLUSION

 

Although recommended for all individuals, including children, with clinically suspected familial hypercholesterolemia, genetic testing should be approached with caution. Parents and, when appropriate, children should be provided with a comprehensive discussion of the pros and cons of genetic testing, and informed about out-of-pocket costs prior to testing.

 

REFERENCES

 

  1. Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents, National Heart, Lung, and Blood Institute. Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents: summary report. Pediatrics. 2011;128(Suppl 5):S213-S256. doi:10.1542/peds.2009-2107C
  2. Wilson DP, Gidding SS. Atherosclerosis: Is a cure in sight? J Clin Lipidol. 2015;9(5 Suppl):1. doi:S1933-2874(15)00266-4
  3. Robinson JG, Gidding SS. Curing atherosclerosis should be the next major cardiovascular prevention goal. J Am Coll Cardiol. 2014;63(25 Pt A):2779-2785. doi:S0735-1097(14)02138-X
  4. Ruck MD, Abramovitch R, Keating DP. Children's and adolescents' understanding of rights: balancing nurturance and self-determination. Child Dev. 1998;69(2):404-417.
  5. Melton GB. Children's concepts of their rights. J Clin Child Psychol. 1980;9(3):186-190. doi:10.1080/15374418009532985
  6. Melton GB. Child advocacy: Psychological issues and interventions. Plenum; 1983.
  7. Peterson-Badali M, Abramovitch R. Grade related changes in young people's reasoning about plea decisions. Law Hum Behav. 1993;17(5):537-552.
  8. Saywitz KJ. Children’s conceptions of the legal system: “Court is a place to play basketball”. Ceci J, Ross DF, Toglia MP, eds. Perspectives on children’s testimony. Springer-Verlag; 1989:131-157.
  9. Scott ES, Reppucci D, Woolard JL. Evaluating adolescent decision making in legal contexts. Law Hum Behav. 1995;19(3):221-244.
  10. Sturm AC, Knowles JW, Gidding SS, Ahmad ZS, Ahmed CD, Ballantyne CM, Baum SJ, Bourbon M, Carrié A, Cuchel M, de Ferranti SD, Defesche JC, Freiberger T, Hershberger RE, Hovingh GK, Karayan L, Kastelein JJP, Kindt I, Lane SR, Leigh SE, Linton MF, Mata P, Neal WA, Nordestgaard BG, Santos RD, Harada-Shiba M, Sijbrands EJ, Stitziel NO, Yamashita S, Wilemon KA, Ledbetter DH, Rader DJ; the Familial Hypercholesterolemia Foundation. Clinical genetic testing for familial hypercholesterolemia: JACC Scientific Expert Panel. J Am Coll Cardiol. 2018;72(6):662-680. doi:S0735-1097(18)35065-4
  11. American Academy of Pediatrics Committee on Bioethics, Committee on Genetics, and American College of Medical Genetics and Genomics Social, Ethical, Legal Issues Committee. Ethical and policy issues in genetic testing and screening of children. Pediatrics. 2013;131(3):620-622. doi:10.1542/peds.2012-3680
  12. American Academy of Pediatrics Committee on Genetics. Molecular genetic testing in pediatric practice: A subject review. Pediatrics. 2000;106(6):1494-1497. doi:10.1542/peds.106.6.1494

Cholesterol Lowering Drugs

ABSTRACT

 

There are currently several different classes of drugs available for lowering cholesterol levels. There are currently seven HMG-CoA reductase inhibitors (statins) approved for lowering cholesterol levels and they are the first line drugs for treating cholesterol disorders and can lower LDL-C levels by as much as 60%. Statins also are effective in reducing triglyceride levels in patients with hypertriglyceridemia. Statins lower LDL levels by inhibiting HMG-CoA reductase activity leading to decreases in hepatic cholesterol content resulting in an up-regulation of hepatic LDL receptors, which increases the clearance of LDL. The major side effects are muscle complications and an increased risk of diabetes. The different statins have varying drug interactions. Ezetimibe lowers LDL-C levels by approximately 20% by inhibiting cholesterol absorption by the intestines leading to the decreased delivery of cholesterol to the liver, a decrease in hepatic cholesterol content, and an up-regulation of hepatic LDL receptors. Ezetimibe is very useful as add on therapy when statin therapy is not sufficient or in statin intolerant patients. Ezetimibe has few side effects. Bile acid sequestrants lower LDL-C by10-30% by decreasing the absorption of bile acids in the intestine which decreases the bile acid pool consequently stimulating the synthesis of bile acids from cholesterol leading to a decrease in hepatic cholesterol content and an up-regulation of hepatic LDL receptors. Bile acid sequestrants can be difficult to use as they decrease the absorption of multiple drugs, may increase triglyceride levels, and cause constipation and other GI side effects. They do improve glycemic control in patients with diabetes, which is an additional benefit. PCSK9 inhibitors, either monoclonal antibodies or small interfering RNA, lower LDL-C by 50-60% by decreasing PCSK9, which decreases the degradation of LDL receptors. PCSK9 inhibitors also decrease Lp(a) levels. PCSK9 inhibitors are very useful when maximally tolerated statin therapy do not reduce LDL sufficiently and in statin intolerant patients. PCSK9 inhibitors have very few side effects. Bempedoic acid lowers LDL-C by 15-25% by inhibiting hepatic ATP citrate lyase activity resulting in a decrease in cholesterol synthesis in the liver, a decrease in hepatic cholesterol content, and an up-regulation of LDL receptors. Bempedoic acid is employed in patients who do not reach their LDL-C goals on maximally tolerated statin therapy or in patients who do not tolerate statins. Bempedoic acid is associated with elevations in uric acid levels and gouty attacks. Lomitapide and evinacumab are approved for lowering LDL levels in patients with homozygous familiar hypercholesterolemia, as they are not dependent on LDL receptors for decreasing LDL levels. Lomitapide inhibits microsomal triglyceride transfer protein decreasing the formation of chylomicrons in the intestine and VLDL in the liver. Lomitapide has the potential to cause liver toxicity and therefore they were approved with a risk evaluation and mitigation strategy (REMS) to reduce risk. Evinacumab is a monoclonal antibody that inhibits the activity of angiopoietin-like protein 3 resulting in the increased activity of lipoprotein lipase and endothelial cell lipase resulting in a decrease in LDL-C, HDL-C, and triglyceride levels. Mipomersen, which is no longer available, is a second-generation apolipoprotein anti-sense oligonucleotide that decreases apolipoprotein B synthesis resulting in a reduction in the formation and synthesis of VLDL and was approved for the treatment of homozygous familial hypercholesterolemia.

 

INTRODUCTION

 

This chapter will discuss the currently available drugs for lowering total cholesterol levels, especially LDL-C: statins, ezetimibe, bile acid sequestrants, PCSK9 inhibitors, bempedoic acid, lomitapide, mipomersen, and evinacumab. We will not discuss the effect of lifestyle changes or food additives, such as phytosterols, on LDL-C as this is addressed in the chapter entitled “The Effect of Diet on Cardiovascular Disease and Lipid and Lipoprotein Levels” (1). Additionally, we will not discuss guidelines for determining who to treat, how aggressively to treat, or targets of treatment as these issues are discussed in detail in the chapters entitled “Guidelines for the Management of High Blood Cholesterol” and “Approach to the Patient with Dyslipidemia” (2,3).

 

STATINS

 

Introduction

 

In the 1970s Dr. Akira Endo, working at Sankyo, discovered that compounds isolated from fungi inhibited the activity of HMG-CoA reductase, a key enzyme in the synthesis of cholesterol (4). Further studies at Merck led to the development of the first HMG-CoA reductase inhibitor, lovastatin, approved in 1987 for the treatment of hypercholesterolemia (5). There are currently seven HMG-CoA reductase inhibitors (statins) approved in the United States for lowering cholesterol levels. Three statins are derived from fungi (lovastatin, simvastatin, and pravastatin) and four statins are synthesized (atorvastatin, rosuvastatin, fluvastatin, and pitavastatin). Most of these statins are now generic drugs and therefore they are relatively inexpensive. Which particular statin one elects to use may depend on the degree of cholesterol lowering needed and the potential of drug-drug interactions. Statins are the first line drugs for treating elevated cholesterol levels and therefore one of the most widely utilized class of drugs. Statins have revolutionized the field of preventive cardiology and made an important contribution to the reduction in atherosclerotic cardiovascular events.

 

Effect on Statins on Lipid and Lipoprotein Levels

 

The major effect of statins is lowering LDL-C levels. The effect of the various statins at different doses on LDL-C levels is shown in Table 1. As can be seen in Table 1 different statins have varying abilities to lower LDL-C with maximal reductions of approximately 60% seen with rosuvastatin 40mg. Doubling the dose of a statin results in an approximate 6% further decrease in LDL-C levels. The percent reduction in LDL-C levels is similar in patients with high and low starting LDL-C levels but the absolute decrease is greater if the starting LDL-C is high. Because of this profound ability of statins to lower LDL-C levels, treatment with these drugs as monotherapy is often sufficient to lower LDL-C below target levels.

 

Table 1. Approximate Effect of Different Doses of Statins on LDL-C Levels

% LDL Reduction

Simvastatin (Zocor)

Atorvastatin (Lipitor)

Lovastatin (Mevacor)

Pravastatin (Pravachol)

Fluvastatin (Lescol)

Rosuvastatin (Crestor)

Pitavastatin (Livalo)

27

10mg

-

20mg

20mg

40mg

-

-

34

20mg

10mg

40mg

40mg

80mg

-

1mg

41

40mg

20mg

80mg

80mg

-

-

2mg

48

80mg

40mg

-

-

-

10mg

4mg

54

-

80mg

-

-

-

20mg

-

60

-

-

-

-

-

40mg

-

Data modified from package inserts

 

As would be predicted from the effect of statins on LDL-C levels, statins are also very effective in lowering non-HDL-C levels (LDL-C is the major contributor to non-HDL-C levels) (6,7). In addition, statins also lower plasma triglyceride levels (8,9). The ability of statins to lower triglyceride levels correlates with the reduction in LDL-C (9). Statins that are most efficacious in lowering LDL-C are also most efficacious in lowering plasma triglyceride and VLDL-C levels. Notably the percent reduction in plasma triglyceride levels is dependent on the baseline triglyceride levels (9). For example, in patients with normal triglyceride levels (<150mg/dL), simvastatin 80mg per day lowered plasma triglyceride levels by 11%. In contrast, if plasma triglyceride levels were elevated (> 250mg/dL), simvastatin 80mg per day lowered triglyceride levels by 40% (9). In patients with both elevated LDL-C and triglyceride levels statin therapy can be very effective in improving the lipid profile and are therefore the first line class of drugs to treat patients with mixed hyperlipidemia unless the triglyceride levels are markedly elevated (>500-1000mg/dL). As expected, given the ability of statins to lower LDL-C and triglyceride/VLDL levels, statin therapy is very effective in lowering apolipoprotein B levels (6,7).

 

Of note despite the ability of statins to lower LDL-C, non-HDL-C, and apolipoprotein B levels, statins do not lower Lp(a) levels and may even increase levels (10,11). Finally, statins modestly increase HDL-C levels (8,12,13). In most studies HDL-C levels increase between 5-10% with statin therapy. Interestingly, while low dose atorvastatin increases HDL levels similar to other statins at high doses the effect of atorvastatin is blunted with either very modest increases or no change observed (12).

 

Table 2. Effect of Statins on Lipid/Lipoprotein Levels

LDL-C

Decrease

Non-HDL-C

Decrease

Apolipoprotein B

Decrease

Triglycerides

Variable. If TG levels increased will decrease

HDL-C

Small Increase

Lp(a)

No change or small increase

 

Non-Lipid Effects of Statins

 

In addition to effects on lipid metabolism statins also have pleiotropic effects that may not be directly related to alterations in lipid metabolism (14). For example, statins are anti-inflammatory and consistently decrease CRP levels (15). Other pleiotropic effects of statins include anti-proliferative effects, antioxidant properties, anti-thrombosis, improving endothelial dysfunction, and attenuating vascular remodeling (14). Whether these pleiotropic effects contribute to the beneficial effects of statins in preventing cardiovascular disease is uncertain and much of the beneficial effect of statins on cardiovascular disease can be attributed to reductions in lipid levels.

 

Mechanism Accounting for the Statin Induced Lipid Effects

 

Statins are competitive inhibitors of HMG-CoA reductase, which leads to a decrease in cholesterol synthesis in the liver. This inhibition of hepatic cholesterol synthesis results in a decrease in cholesterol in the endoplasmic reticulum resulting in the movement of sterol regulatory element binding proteins (SREBPs) from the endoplasmic reticulum to the golgi where they are cleaved by proteases into active transcription factors (16). The SREBPs then translocate to the nucleus where they increase the expression of a number of genes including HMG-CoA reductase and, most importantly, the LDL receptor (16). The increased expression of HMG-CoA reductase restores hepatic cholesterol synthesis towards normal while the increased expression of the LDL receptor results in an increase in the number of LDL receptors on the plasma membrane of hepatocytes leading to the accelerated clearance of LDL (Figure 1) (16). The increased clearance of LDL accounts for the reduction in plasma LDL-C levels. In patients with a total absence of LDL receptors (Homozygous Familiar Hypercholesterolemia) statin therapy is not very effective in lowering LDL-C levels.

 

Figure 1. Mechanism for the Decrease in LDL Levels

 

In addition to lowering LDL and VLDL levels by accelerating the clearance of lipoproteins some studies have also shown that statins reduce the production and secretion of VLDL particles by the liver (17). This could contribute to the decrease in triglyceride levels. The mechanism by which statins increase HDL-C levels is not clear. The small increase in Lp(a) may be due to increased production as studies have shown that incubating HepG2 hepatocytes with a statin increased the expression of LPA mRNA and apolipoprotein(a) protein (18).

 

Pharmacokinetics and Drug Interactions

 

Statins have different pharmacokinetic properties which can explain clinically important differences in safety and drug interactions (19-22). Most statins are lipophilic except for pravastatin and rosuvastatin, which are hydrophilic. Lipophilic statins can enter cells more easily but the clinical significance of this difference is not clear. Most of the clearance of statins is via the liver and GI tract (19-21). Renal clearance of statins in general is low with atorvastatin having a very low renal clearance making this particular drug the statin of choice in patients with significant renal disease. The half-life of statins varies greatly with lovastatin, pravastatin, simvastatin, and fluvastatin having a short half-life (1-3 hours) while atorvastatin, rosuvastatin, and pitavastatin having a long half-life (19-22). In patient’s intolerant of statins, the use of a long-acting statin every other day or 2 times per week has been employed. Short acting statins are most effective when administered in the evening when HMG-CoA reductase activity is maximal while the efficacy of long-acting statins is equivalent whether given in the AM or PM (23). In patients who prefer to take their statin in the morning one should use a long-acting statin.

 

A key difference between statins is their pathway of metabolism. Simvastatin, lovastatin, and atorvastatin are metabolized by the CYP3A4 enzymes and drugs that affect the CYP3A4 pathway can alter the metabolism of these statins (19-22,24). Fluvastatin is metabolized mainly by CYP2C9 with a small contribution by CYP2C8 (19-21,24). Pitavastatin and rosuvastatin are minimally metabolized by the CYP2C9 pathway (19-21,24). Pravastatin is not metabolized at all via the CYP enzyme system (19-21).

 

Drugs that inhibit CYP3A4 can impede the metabolism of simvastatin, lovastatin, and to a smaller extent atorvastatin resulting in high serum levels of these drugs (19-22,24). These higher levels are associated with adverse effects particularly muscle toxicity. Drugs that inhibit CYP3A4 include intraconazole, ketoconazole, erythromycin, clarithromycin, HIV protease inhibitors (amprenavir, darunavir, fosamprenavir, indinavir, nelfinavir, ritonavir, and saquinavir), amiodarone, diltiazem, verapamil, and cyclosporine (19-22,24). It should be noted that grapefruit juice contains compounds that inhibit CYP3A4 and the consumption of grapefruit juice can significantly increase statin blood levels (25). The inhibition of CYP3A4 by grapefruit juice is dose dependent and increases with the concentration and volume of grapefruit juice ingested. One glass of grapefruit juice everyday can influence the metabolism of statins that are metabolized by the CYP3A4 pathway (25). If a patient requires treatment with a drug that inhibits CYP3A4 the clinician has a number of options to avoid potential drug interactions. One could use a statin that is not metabolized via the CYP3A4 system such as pravastatin or rosuvastatin, one could use an alternative drug to the CYP3A4 inhibitor (for example instead of using erythromycin use azithromycin), or one could temporarily suspend for a short period of time the use of the statin that is metabolized by the CYP3A4 pathway (this is particularly useful when a short course of treatment with an antifungal, antiviral, or antibiotic is required). Drugs that inhibit CYP2C9 do not seem to increase the toxicity of fluvastatin, pitavastatin, or rosuvastatin probably because metabolism via the CYP2C9 pathway is not a dominant pathway.

 

Most statins are transported into the liver and other tissues by organic anion transporting polypeptides, particularly OATP1B1 (19-21,24). Drugs, such as clarithromycin, ritonavir, indinavir, saquinavir, and cyclosporine that inhibit OATP1B1 can increase serum statin levels thereby increasing the risk of statin muscle toxicity (19-21,24). Fluvastatin is the statin that is least affected by OATP1B1 inhibitors. In fact, fluvastatin 40mg per day has been studied in patients receiving renal transplants concomitantly treated with cyclosporine and over a five year study period the risk of myopathy or rhabdomyolysis was not increased in the fluvastatin treated patients compared to those treated with placebo (26).

 

Gemfibrozil inhibits the glucuronidation of statins, which accounts for a significant portion of the metabolism of most statins (24). This can lead to the reduced clearance of statins and elevated blood levels increasing the risk of muscle toxicity (24). The only statin whose metabolism is not altered by gemfibrozil is fluvastatin (24). Notably, fenofibrate, another fibrate that has very similar effects on lipid and lipoprotein levels as gemfibrozil, does not inhibit statin glucuronidation (24). Therefore, in patients on statin therapy who also need treatment with a fibrate one should use fenofibrate and not gemfibrozil in combination with statin therapy. Studies have shown that fenofibrate combined with statins does not significantly increase toxicity (27).

 

There are other drug interactions with statins whose mechanisms are unknown. For example, the lopinavir/ritonavir combination used to treat HIV increases rosuvastatin levels by 2-5-fold and atazanavir/ritonavir increases rosuvastatin levels by 2-6-fold (28-32). Similarly, the tipranavir/ritonavir combination increases rosuvastatin levels 2-fold and atorvastatin levels 8-fold (31). When HIV patients are on these drugs other statins should be used to lower LDL-C levels. The use of statins in patients with HIV is discussed in detail in the Endotext chapter entitled “Lipid Disorders in People with HIV” (33).

 

Thus, despite the excellent safety record of statins, careful attention must be paid to the potential drug-drug interactions. For additional information see Kellick et al (22,24).

 

Effect of Statin Therapy on Clinical Outcomes

 

A large number of studies using a variety of statins in diverse patient populations have shown that statin therapy reduces atherosclerotic cardiovascular disease. The Cholesterol Treatment Trialists have published meta-analyses derived from individual subject data. Their first publication included data from 14 trials with over 90,000 subjects (34). There was a 12% reduction in all-cause mortality in the statin treated subjects, which was mainly due to a 19% reduction in coronary heart disease deaths. Non-vascular causes of death were similar in the statin and placebo groups indicating that statin therapy and lowering LDL-C did not increase the risk of death from other causes such as cancer, respiratory disease, etc. Of particular note there was a 23% decrease in major coronary events per 1 mmol/L (39mg/dL) reduction in LDL-C. Decreases in other vascular outcomes including non-fatal MI, coronary heart disease death, vascular surgery, and stroke were also reduced by 20-25% per 1 mmol/L (39mg/dL) reduction in LDL-C. Additionally, analysis of these studies demonstrated that the greater the reduction in absolute LDL-C levels the greater the decrease in cardiovascular events.  For example, while a 40mg/dL decrease in LDL-C will reduce coronary events by approximately 20%, an 80mg/dL decrease in LDL-C will reduce events by approximately 40%. These results support aggressive lipid lowering with statin therapy.

 

Of note the decrease in the number of events begins to be seen in the first year of therapy indicating that the ability of statins to reduce events occurs relatively quickly and increases over time. The ability of statins to reduce cardiovascular events was seen in a wide diversity of patients including those with and without a history of prior cardiovascular disease, patients over age 65 and younger than age 65, males and females, and patients with and without a history of diabetes or hypertension. Additionally, the beneficial effects of statins were seen regardless of the baseline lipid levels. Subjects with elevated or low LDL-C, HDL-C, or triglyceride levels all had similar decreases in the relative risk of cardiovascular events.

 

A subsequent publication by the Cholesterol Treatment Trialists has focused on five studies with over 39,000 subjects that have compared usual vs. intensive statin therapy (35). It was noted that there was a 0.51mmol/L (20mg/dL) further reduction in LDL-C in the intensively treated subjects. This further decrease in LDL-C resulted in a15% reduction in cardiovascular events. The strong numerical relationship between decreases in LDL-C levels and the reduction in cardiovascular events provides evidence indicating that much of the beneficial effect of statins is accounted for by lipid lowering.

 

In addition, the authors added 7 additional trials to their original comparison of statin treatment vs. placebo for a total of 21 trials with over 129,000 subjects. In this larger cohort a 1mmol/L (39mg/dL) decrease in LDL was associated with a 21% reduction in major cardiovascular events. As seen previously the benefits of statin therapy were seen in a wide variety of subjects including patients older than age 75, obese patients, cigarette smokers, patients with decreased renal function, and patients with low and high HDL-C levels. Additionally, a reduction of cardiovascular events with statin therapy was seen regardless of baseline LDL-C levels.

 

A more recent meta-analysis by the Cholesterol Treatment Trialists examined the effect of statins in 27 trials that included 46,675 women and 127,474 men (36). They found that statin therapy was similarly effective in reducing cardiovascular events in both men and women. Thus, there is an overwhelming database of randomized clinical outcome trials showing the benefits of statin therapy in reducing cardiovascular disease, which, coupled with their excellent safety profile, has resulted in statins becoming a very widely used class of drugs and first line therapy for the prevention of cardiovascular disease.  

 

Effect of Statins Therapy on Clinical Outcomes in Specific Patient Groups

 

PRIMARY PREVENTION

 

While there is no doubt that individuals with pre-existing cardiovascular disease require statin therapy, the use of statins for primary prevention was initially debated. There are now a large number of statin primary prevention studies. The Cholesterol Treatment Trialists reported that statin therapy was very effective in reducing cardiovascular events in subjects without a history of vascular disease and the relative risk reduction was similar to subjects with a history of cardiovascular events (35). Additionally, vascular deaths were reduced by statin treatment even in subjects without a history of vascular disease. As expected, non-vascular deaths were not altered in these subjects without a history of pre-existing vascular disease. Additionally, the Cholesterol Treatment Trialists compared the benefits of statin therapy based on baseline risk of developing cardiovascular disease (<5%, ≥5% to <10%, ≥10% to <20%, ≥20% to <30%, ≥30%) (37). The proportional reduction in major vascular events was at least as big in the two lowest risk categories as in the higher risk categories indicating that subjects at low-risk benefit from statin therapy. Similar to the Cholesterol Treatment Trialists analysis, a Cochrane review published in 2013 on the effect of statins in primary prevention patients reached the following conclusion: “Reductions in all-cause mortality, major vascular events, and revascularizations were found with no excess adverse events among people without evidence of CVD treated with statins” (38). An additional study (HOPE-3 trial), not included in the above analyses, has been completed that focused on intermediate risk patients without cardiovascular disease. In this trial 12,705 men and women who had at least one risk factor for cardiovascular disease were randomized to 10mg rosuvastatin vs. placebo (39). Rosuvastatin treatment resulted in a 27% reduction in LDL-C levels and a 24% decrease in cardiovascular events providing additional evidence that statin treatment can reduce events in primary prevention patients. It is therefore clear that statins are effective in safely reducing events in primary prevention patients.

 

The key issue is “which primary prevention patients should be treated” and this is still controversial. It should be noted that the higher the baseline risk the greater the absolute reduction in events with statin therapy. For example, in a high-risk patient with a 20% risk of developing a vascular event, a 25% risk reduction will result in a 15% risk of an event (absolute decrease of 5%). In contrast in a low-risk patient with a 4% risk of developing a vascular event, a 25% risk reduction will result in a 3% risk (absolute decrease of only 1%). Thus, the absolute benefit of statin therapy over the short term will depend on the risk of developing cardiovascular disease.

 

Additionally, based on the Cholesterol Treatment Trialists results the reduction in cardiovascular events is dependent on the absolute decrease in LDL-C levels. Thus, the effect of statin treatment will be influenced by baseline LDL-C levels. For example, a 50% decrease in LDL-C is 80mg/dL if the starting LDL is 160mg/dL and only 40mg/dL if the starting LDL-C is 80mg/dL. Based on studies showing that a decrease in LDL-C of 1 mmol/L (40mg/dL) reduces cardiovascular events by ~20% the relative benefit of statin therapy will be greater in the patient with the starting LDL-C of 160mg/dL (40% decrease in events) than in the patient with the starting LDL-C of 80mg/dL (20% decrease in events). Thus, decisions on treatment need to factor in both relative risk and baseline LDL levels.

 

Finally, it should be recognized that clinical trials represent short term reductions in LDL-C levels (typically 2-5 years) in a disorder that begins early in life and progresses over decades. Life-long decreases in LDL-C levels due to genetic polymorphisms are associated with a much greater reduction in cardiovascular events than would be expected based on the clinical trial results (40). These results suggest that earlier and longer lasting therapy that decreases LDL-C levels will result in a greater reduction in cardiovascular events (41). An in depth discussion of the benefits of early therapy is discussed in the following reference (42).

 

ELDERLY

 

Few studies have focused on lowering LDL-C in elderly patients, which we define as individuals greater than 75 years of age (this is based on the ACC/AHA guidelines using age 75 in their decision algorithms) (3). The Prosper Trial determined the effect of pravastatin 40mg/day (n= 2891) vs. placebo (n= 2913) on cardiovascular events in older subjects (70-82) with pre-existing vascular disease or who were at high risk for vascular disease (43). The average age in this trial was 75 years of age and approximately 45% had cardiovascular disease. As expected, pravastatin treatment lowered LDL-C by 34% compared to the placebo group. The primary end point was coronary death, non-fatal myocardial infarction, and fatal or non-fatal stroke which was reduced by 15% (HR 0.85, 95% CI 0.74-0.97, p=0.014). However, in the individuals without pre-existing cardiovascular disease pravastatin did not significantly reduce cardiovascular events (HR- 0.94; CI- 0.77–1.15). In contrast, in individuals with cardiovascular disease pravastatin therapy reduced cardiovascular events (HR- 0.78, CI- 0.66–0.93). Thus, this study demonstrated benefits of statin therapy in the elderly with cardiovascular disease but failed to demonstrate benefit in the elderly without cardiovascular disease.

 

A meta-analysis by the Cholesterol Treatment Trialists of 28 trials with 14,483 of 186,854 participants older than 75 years of age found a decrease in cardiovascular events in all age groups including participants older than 75 years of age (Figure 2) (44). Similar to the Prosper Trial a decrease in cardiovascular events was clearly demonstrated in individuals with pre-existing cardiovascular disease (secondary prevention) but in individuals without pre-existing cardiovascular disease (primary prevention) the decrease in cardiovascular events was not statistically significant (Figure 3). Thus, in older patients with cardiovascular disease lowering LDL-C levels with statins clearly reduces cardiovascular events but in older patients without cardiovascular disease the data demonstrating that statins reduce cardiovascular events is less robust but suggests a reduction in cardiovascular events.

 

Figure 2. Effect of Statin Treatment on Major Vascular Events. Modified from (44).

Figure 3. Effect of Statin Treatment on Major Vascular Events in Individuals With and Without Pre-Existing Cardiovascular Disease. Modified from (44).

 

Studies are currently underway to provide definitive information on whether statin therapy is beneficial as primary prevention in the elderly. STAREE (NCT02099123) is a multicenter randomized trial in Australia of atorvastatin 40mg vs. placebo in adults ≥ 70 years of age without cardiovascular disease and PREVENTABLE (NCT04262206) is a multicenter randomized trial in the USA of atorvastatin vs. placebo in adults ≥ 75 years of age without cardiovascular disease (45,46).

 

WOMEN

 

As noted above a meta-analysis by the Cholesterol Treatment Trialists examined the effect of statins in 27 trials that included 46,675 women and 127,474 men (36). They found that statin therapy was similarly effective in reducing cardiovascular events in both men and women.

 

ASIANS

 

Pharmacokinetic data have shown that the serum levels of statins are higher in Asians than in Caucasians (47). Moreover, Asians achieve similar LDL lowering at lower statin doses than Caucasians (47). Therefore, the statin dose used should be lower in Asians. For example, the starting dose of rosuvastatin is 5mg in Asians as compared to 10mg in Caucasians. Additionally, the maximum recommended dose of statin is lower in Japan vs. the United States (Table 3). In contrast, studies suggest that South Asian patients may be treated with atorvastatin and simvastatin at doses typically applied to white patients (48). Studies have demonstrated that statins reduce cardiovascular events in Asians (49,50)

 

Table 3. Maximum Statin Dose in Japan and United States

Statin

Japan

United States

Atorvastatin

40

80

Fluvastatin

60

80

Pravastatin

20

80

Rosuvastatin

20

40

Simvastatin

20

40

 

DIABETES

 

Statin trials, including both primary and secondary prevention trials, have consistently shown the beneficial effect of statins on cardiovascular disease in patients with diabetes (51). The Cholesterol Treatment Trialists analyzed data from 18,686 subjects with diabetes (mostly type 2 diabetes) from 14 randomized trials (52). In the statin treated group there was a 9% decrease in all-cause mortality, a 13% decrease in vascular mortality, and a 21% decrease in major vascular events per 1mmol/L (39mg/dL) reduction in LDL-C. The beneficial effect of statin therapy was seen in both primary and secondary prevention patients. The effect of statin treatment on cardiovascular events in patients with diabetes was similar to that seen in non-diabetic subjects. It should be noted that while the data for patients with type 2 diabetes is robust, the number of patients with type 1 diabetes in these trials is relatively small and the results less definitive. Also, of note is that information on young patients with diabetes (< age 40) is very limited. Thus, these studies indicate that statins are beneficial in reducing cardiovascular disease in patients with diabetes. For addition details on the treatment of dyslipidemia in patients with diabetes see the chapter entitled “Dyslipidemia in Patients with Diabetes” (51).

 

RENAL DISEASE

 

The Cholesterol Treatment Trialists examined the effect of renal function on statin effectiveness. They reported that the relative risk reduction for cardiovascular events was similar if the eGFR was < 60ml/min as compared to > 90 or 60-90 (35). In a follow-up analysis it was reported that the relative risk reduction per 1mMol/l (~39mg/dL) decrease in LDL-C levels with statin therapy was 0·78 for an eGFR ≥60 mL/min, 0·76 for an eGFR 45 to <60 mL/min, 0·85 for an eGFR 30 to <45 mL/min, and 0·85 for an eGFR <30 mL/min in patients not on dialysis (53). In patients on dialysis the relative risk reduction was 0·94 (99% CI 0·79-1·11). Similarly, a meta-analysis of 57 studies with >143,000 participants with renal disease not on dialysis reported a 31% reduction in major cardiovascular events in statin treated subjects compared to placebo groups (54). Thus, in patients with renal disease not on dialysis, treatment with statins is beneficial and should be utilized in this population at high risk for vascular disease.

 

In contrast to the above results, studies examining the role of statins in dialysis patients have not found a benefit from statin therapy. The Deutsche Diabetes Dialyse Studie (4D) randomized 1,255 type 2 diabetic subjects on hemodialysis to either 20 mg atorvastatin or placebo (55). The LDL-cholesterol reduction was similar to that seen in non-dialysis patients but there was no significant reduction in cardiovascular death, nonfatal myocardial infarction, or stroke in the atorvastatin treated compared to the placebo group. Similarly, A Study to Evaluate the Use of Rosuvastatin in Subjects on Regular Hemodialysis (AURORA) randomized 2,776 subjects on hemodialysis to rosuvastatin 10 mg or placebo (56). Again, the LDL-cholesterol lowering in dialysis patients was similar to that seen in other studies but there was no significant effect on the primary endpoint of cardiovascular death, nonfatal myocardial infarction, or stroke. A meta-analysis of 25 studies involving 8,289 dialysis patients found no benefit of statin therapy on major cardiovascular events, cardiovascular mortality, all-cause mortality, or myocardial infarction, despite efficacious lipid lowering. The reason for the failure of statins in patients on maintenance dialysis is unclear but could be due to a number of factors including the possibility that the marked severity of atherosclerosis in end stage renal disease may limit reversal, that different mechanisms of atherosclerosis progression occur in dialysis patients (for example an increased role for inflammation, oxidation, or thrombosis), or that cardiovascular events in this patient population may not be due to atherosclerosis. We would recommend continuing statin therapy in patients on dialysis who have been previously treated with statins but not initiating therapy in the rare statin naïve patient beginning dialysis.

 

Statins are primarily metabolized in the liver and therefore the need to adjust the statin dose is not usually needed in patients with renal disease until the eGFR is < 30ml/min. The effect of renal dysfunction on statin clearance varies from statin to statin (57). For some statins such as atorvastatin, there is no need to adjust the dose in renal disease because there is limited renal clearance (57). However, for other statins it is recommended to adjust the dose in patients when the eGFR is < 30ml/min. In patients with an eGFR < 30ml/min the maximum dose of rosuvastatin is 10mg, simvastatin 40mg, pitavastatin 2mg, pravastatin 20mg, lovastatin 20mg, and fluvastatin 40mg per day (57).

 

For additional information on the treatment of dyslipidemia in patients with renal disease see the chapter entitled “Dyslipidemia in Chronic Kidney Disease” (57).

 

CONGESTIVE HEART FAILURE

 

In the Corona study 5,011 patients with New York Heart Association class II, III, or IV ischemic, systolic heart failure (most were class III) were randomly assigned to receive 10 mg of rosuvastatin or placebo per day (58). While rosuvastatin treatment reduced LDL-C levels by 45% compared to placebo, rosuvastatin did not decrease death from cardiovascular causes, nonfatal myocardial infarction, or nonfatal stroke. Similarly, the GISSI-HF trial randomized 4,574 patients with class II, III, of IV congestive heart failure (most were class II) to 10mg of rosuvastatin or placebo (59). The primary endpoints were time to death, and time to death or admission to hospital for cardiovascular reasons and these were similar in the statin and placebo groups. Why statin treatment was not beneficial in patients with congestive heart failure is unknown.

 

LIVER DISEASE

 

Many patients with liver disease, particularly those with nonalcoholic fatty liver disease (NAFLD), are at high risk for cardiovascular disease and therefore require statin therapy (60). There have been concerns that these patients would not tolerate statin therapy and that statin therapy would worsen their underlying liver disease. Fortunately, there are now studies of statin therapy in patients with abnormal liver function tests and underlying liver disease at baseline (60-62). With a variety of statins, studies have demonstrated no significant worsening of liver disease and in fact several studies have suggested improvement in liver function tests with statin therapy (62). This is true for patients with hepatitis C, NAFLD/NASH, and primary biliary cirrhosis. Additionally, in the GREACE trial, statin treatment reduced cardiovascular events in patients with moderately abnormal liver function tests (transaminases < 3x the upper limit of normal) (63). Thus, in patients with mild liver disease without elevations in bilirubin or abnormalities in synthetic function, statins are safe and reduce the risk of cardiovascular disease. 

 

For additional information on the treatment of dyslipidemia in patients with liver disease see the chapter entitled “Lipid and Lipoprotein Metabolism in Liver Disease” (64).

 

HIV

 

Patients living with HIV have an increased risk of cardiovascular disease (33). A trial randomized 7,769 participants with HIV infection with a low-to-moderate risk of cardiovascular disease to either pitavastatin 4 mg or placebo (65). The primary outcome was the occurrence of cardiovascular death, myocardial infarction, hospitalization for unstable angina, stroke, transient ischemic attack, peripheral arterial ischemia, revascularization, or death from an undetermined cause. In the pitavastatin group cardiovascular events were decreased by 35% (HR, 0.65; 95% CI, 0.48 to 0.90; P=0.002). For additional information on the use of statins in HIV patients see the Endotext chapter “Lipid Disorders in People with HIV” (33).  

 

Statin Side Effects

 

An umbrella review of meta-analyses of observational studies and randomized controlled trials examined 278 unique non-CVD outcomes from 112 meta-analyses of observational studies and 144 meta-analyses of RCTs and found that the only adverse effects associated with statin therapy were the development of diabetes and muscle disorders (66). For a detailed discussion of the side effects of statin therapy a scientific statement from the American Heart Association provides a comprehensive review (67).

 

DIABETES

 

After many years of statin use it was recognized that statins increase the risk of developing diabetes. In a meta-analysis of 13 trials with over 90,000 subjects, there was a 9% increase in the incidence of diabetes during follow-up among subjects receiving statin therapy (68). All statins appear to increase the risk of developing diabetes. In comparisons of intensive vs. moderate statin therapy, Preiss et al observed that patients treated with intensive statin therapy had a 12% greater risk of developing diabetes compared to subjects treated with moderate dose statin therapy (69). Older subjects, obese subjects, and subjects with high glucose levels were at a higher risk of developing diabetes while on statin therapy (70). Thus, statins may be unmasking and accelerating the development of diabetes that would have occurred naturally in these subjects at some point in time. In patients without risk factors for developing diabetes, treatment with statins does not appear to increase the risk of developing diabetes.

 

In patients with diabetes, an analysis of 9 studies with over 9,000 patients with diabetes reported that the patients randomized to statin therapy had a 0.12% higher A1c than the placebo group indicating that statin therapy is associated with only a very small increase in A1c levels in patients with diabetes that is unlikely to be clinically significant (71). Individual studies, such as CARDS and the Heart Protection Study, have also shown only a very modest effect of statins on A1c levels in patients with diabetes (72,73).

 

The mechanism by which statins increase the risk of developing diabetes is unknown (74). A study has demonstrated that a polymorphism in the gene for HMG-CoA reductase that results in a decrease in HMG-CoA reductase activity and a small decrease in LDL levels is also associated with an increase in body weight and plasma glucose and insulin levels (75). Additionally, a cross sectional study that compared the change in BMI in individuals on statins to individuals not on statins observed an increased BMI in the subjects taking statins (+1.3 in stain users vs. + 0.4 in non-users over a 10 year period; p=0.02) (76). These observations suggest that the inhibition of HMG-CoA reductase per se may be contributing to the statin induced increased risk of diabetes via weight gain. However, studies have now shown that polymorphisms in different genes (NPC1L1 and PCSK9) that lead to a decrease in LDL-C levels are also associated with an increase in diabetes suggesting that decreases in LDL-C levels per se alter glucose metabolism and increase the risk of diabetes (74,77). How a decrease in LDL-C levels might affect glucose metabolism is unknown. Clearly further studies are required to understand the mechanisms by which statins increase the risk of developing diabetes.

 

In balancing the benefits and risks of statin therapy it is important to recognize that an increase in plasma glucose levels is a surrogate marker for an increased risk of developing micro and macrovascular disease (i.e., an increase in plasma glucose per se is not an event but rather increases the risk of future events). In contrast, statin therapy is preventing actual clinical events that cause morbidity and mortality. Furthermore, it may take many years for an elevated blood glucose to induce diabetic complications while the reduction in cardiovascular events with statin therapy occurs relatively quickly. Finally, the number of patients needed to treat with statins to avoid one cardiovascular event is much lower (10-20 depending on the type of patient) than the number of patients needed to treat to cause one patient to develop diabetes (100–200 for one extra case of diabetes) (74). Patients on statin therapy, particularly those with risk factors for the development of diabetes, should be periodically screened for the development of diabetes with measurement of fasting glucose or A1c levels.

 

CANCER

 

Analysis of 14 trials with over 90,000 subjects by the Cholesterol Treatment Trialists did not demonstrate an increased risk of cancer or any specific cancer with statin therapy (34). An update with an analysis of 27 trials with over 174,000 participants also did not observe an increase in cancer incidence or death (36). Additionally, no differences in cancer rates were observed with any particular statin.

 

COGNITIVE DYSFUNCTION

 

Several randomized clinical trials have examined the effect of statin therapy on cognitive function and have not indicated any increased risk (78-80). The Prosper Trial was designed to determine whether statin therapy will reduce cardiovascular disease in older subjects (age 70-82) (43). In this trial cognitive function was assessed repeatedly and no difference in cognitive decline was found in subjects treated with pravastatin compared to placebo (43,81). In the Heart Protection Study over 20,000 patients were randomized to simvastatin 40mg or placebo and again no significant differences in cognitive function was observed between the statin vs. placebo group (82). Additionally, a Cochrane review examined the effect of statin therapy in patients with established dementia and identified 4 studies with 1154 participants (83). In this analysis no benefit or harm of statin therapy on cognitive function could be demonstrated in this high-risk group of patients. Thus, randomized clinical trials do not indicate a significant association.

 

HEMORRAGIC STROKE

 

In a scientific statement from the American Heart Association on statin safety reached the following conclusions; “The available data in aggregate show no increased risk of brain hemorrhage with statin use in primary stroke prevention populations. An increased risk in secondary stroke prevention populations is possible, but the absolute risk is very small, and the benefit in reducing overall stroke and other vascular events generally outweighs that risk” (67).

 

LIVER DISEASE

 

It was in initially thought that statins induced liver dysfunction and it was recommended that liver function tests be routinely obtained while patients were taking statins. However, studies have now shown that the risk of liver function test abnormalities in patients taking statins is very small (61). For example, in a survey of 35 randomized studies involving > 74,000 subjects, elevations in transaminases were seen in 1.4% of statin treated subjects and 1.1% of controls (84). Similarly, in a meta-analysis of > 49,000 patients from 13 placebo controlled studies, the incidence of transaminase elevations greater than three times the upper limit of normal was 1.14% in the statin group and 1.05% in the placebo group (85). Moreover, even when the transaminase levels are elevated, repeat testing often demonstrates a return towards normal levels (86). The increases in transaminase levels with statin therapy are dose related with high doses of statins leading to more frequent elevations (87). At this time, routine monitoring of liver function tests in patients taking statins is no longer recommended. However, obtaining baseline liver function tests prior to starting statin therapy is indicated (61). If liver function tests are obtained during statin treatment, one should not be overly concerned with modestly elevated transaminase levels (less than 3x the upper limit of normal) (61). If the transaminase is greater than 3x the upper limit of normal the test should be repeated and if it remains > 3x the upper limit of normal, statin therapy should be stopped and the patient evaluated (61).

 

A more clinically important issue is whether statins lead to an increased risk of liver failure. Studies have suggested that the incidence of liver failure in patients taking statins is very similar to the rate observed in the general population (approx. 1 case per 1 million patient years) (88,89). Thus, statin therapy causing serious liver injury is a very rare event.

 

Non-alcoholic fatty liver disease (NAFLD) is very common and is associates with obesity, metabolic syndrome, diabetes, and cardiovascular disease. In patients with NAFLD studies have shown that statins decrease liver enzymes and reduce steatosis (90).

 

MUSCLE

 

The most common side effect of statin therapy is muscle symptoms. These can range from life threatening rhabdomyolysis to myalgias (Table 4) (91).

 

Table 4. Spectrum of Statin Induced Muscle Disorders (Adapted from J. Clinical Lipidology 8: S58-71, 2014)

Myalgia- aches, soreness, stiffness, tenderness, cramps with normal CK levels

Myopathy- muscle weakness with or without increased CK

Myositis- muscle inflammation

Myonecrosis- mild (CK >3x ULN); moderate (CK> 10x ULN); severe (CK> 50x ULN)

Rhabdomyolysis- myonecrosis with myoglobinuria or acute renal failure

 

Many patients will discontinue the use of statins due to muscle symptoms. Risk factors associated with an increased incidence of statin associated muscle symptoms are listed in Table 5 (92,93).

 

Table 5. Risk Factors for Statin Myopathy

Medications that alter statin metabolism

Older age

Female

Hypothyroidism

Excess alcohol

Vitamin D deficiency

History of muscle disorders

Renal disease

Liver disease

Personal or family history of statin intolerance

Low BMI

Polymorphism in SLCO1B1 gene

High dose statin

Drug-drug interactions

 

 The Cholesterol Treatment Trialists analyzed individual participant data on the development of muscle symptoms from 19 double-blind trials of statin versus placebo with 123,940 participants and four double-blind trials of a more intensive vs. a less intensive statin regimen with 30,724 participants (94). After a median follow-up of 4.3 years 27.1% of the individuals taking a statin vs. 26.6% on placebo reported muscle pain or weakness representing a 3% increase greater than placebo (risk ratio- 1.03; 95% CI 1.01-1.06) (Table 6). The specific muscle symptoms caused by statin therapy, myalgia, muscle cramps or spasm, limb pain, other musculoskeletal pain, or muscle fatigue or weakness were similar to those caused by placebo. The increase in muscle symptoms in the statin treated individuals was manifest in the first year of therapy but in the later years muscle symptoms were similar in the statin treated and placebo groups. The relative risk of statin induced muscle symptoms was greater in women than men. Intensive statin treatment with 40-80 mg atorvastatin or 20-40 mg rosuvastatin resulted in a higher risk of muscle symptoms than less intensive or moderate-intensity regimens but different statins at equivalent LDL-C lowering doses had similar effects on muscle symptoms. This study demonstrates that there is a small increase in muscle symptoms that primarily manifests in the first year of therapy. Statin therapy caused approximately 11 additional complaints of muscle pain or weakness per 1000 patients during the first year, but little excess in later years. Of particularly note is that 26.6% of patients taking a placebo had muscle symptoms demonstrating a very high frequency of this clinical complaint. Given the high prevalence of muscle complaints and the small increase attributed to statins it is very difficult to determine if a muscle complaint is actually due to the statin, which presents great clinical difficulties in patient management.                                                       

 

Table 6. Effect of Statin vs. Placebo on Muscle Symptoms

Symptom

Statin Events

Placebo Events

RR (95% CI)

Myalgia

12.0%

11.7%

1·03 (0·99–1·08)

Other musculoskeletal pain

13.3

13.0

1·03 (0·99–1·08)

Any muscle pain

26.9%

26.3%

1·03 (1·01–1·06)

Any muscle pain or weakness

27.1%

26.6%

1·03 (1·01–1·06)

Modified from (94).

 

While the results of the randomized trials suggest that muscle symptoms are not frequently induced by statin therapy, in typical clinical settings a significant percentage of patients are unable to tolerate statins due to muscle symptoms (in many studies as high as 5-25% of patients) (95-97). Recently there was a randomized trial that explored the issue of myopathy with statin therapy in great detail (98). In this trial the effect of atorvastatin 80mg a day vs. placebo for 6 months on creatine kinase (CK), exercise capacity, and muscle strength was studied in 420 healthy, statin-naive subjects. Atorvastatin treatment led to a modest increase in CK levels (20.8U/L) with no change observed in the placebo group. None of the subjects had an elevation of CK > 10x the upper limits of normal. There were no changes in muscle strength or exercise capacity with atorvastatin treatment. However, myalgia was reported in 19 subjects (9.4%) in the atorvastatin group compared to 10 subjects (4.6%) in the placebo group (p=0.05).  In this study “myalgia” was considered to be present if all of the following occurred: (1) subjects reported new or increased muscle pain, cramps, or aching not associated with ex­ercise; (2) symptoms persisted for at least 2 weeks; (3) symptoms resolved within 2 weeks of stopping the study drug; and (4) symp­toms reoccurred within 4 weeks of restarting the study medication. Notably these myalgias were not associated with elevated CK levels. In the atorvastatin group the myalgias tended to occur soon after therapy (average 35 days) whereas in the placebo group myalgias occur later (average 61 days). In the atorvastatin group the symptoms were predominantly localized to the legs and included aches, cramps, and fatigue, whereas in the placebo group they were more diverse including whole body fatigue, foot cramps, worsening of pain in previous injuries, and groin pain. A number of conclusions can be reached from this study. First, statin treatment does in fact increase the incidence of myalgias. Second, a substantial number of patients treated with placebo will also develop myalgias. Third, clinically differentiating statin induced myalgias from placebo induced myalgias is difficult, as there are no specific symptoms, signs, or biomarkers that clearly distinguish between the two. It should be recognized that the patient population typically treated with statins (patients 50-80 years of age) often have muscle symptoms in the absence of statin therapy and it is therefore difficult to be certain that the muscle symptoms described by the patient are actually due to statin therapy.

 

Additionally, when patients know that they are taking a statin they are more likely to have muscle symptoms (i.e. the nocebo effect). This was nicely demonstrated in the ASCOT-LLA extension trial (99). In the initial phase of the study the patients were randomly assigned to atorvastatin 10 mg (n= 5101) or matching placebo (n= 5079) in a double-blind fashion. During the 3.3 years of the double blinded phase adverse muscle symptoms were very similar in the atorvastatin and placebo groups (HR 1.03; p=0.72). This double-blind phase was followed by a non-blinded non-randomized extension where 6409 patients were treated with atorvastatin 10mg and 3490 were untreated. During the 2.3 years of this extension study muscle symptoms were significantly increased in the atorvastatin group (HR 1·41; p=0.006).    

 

In a very small study in the Annals of Internal Medicine eight patients with “statin related myalgia” were re-challenged with statin or placebo and there were no statistically significant differences in the recurrence of myalgias on the statin or placebo (100). This approach has been expanded upon in other studies. In 120 patients with “statin induced myalgia” patients were randomized in a double blinded crossover trial to either simvastatin 20mg per day or placebo and the occurrence of muscle symptoms was determined (101). Only 36% of these patients were confirmed to actually have statin induced myalgia (presence of symptoms on simvastatin without symptoms on placebo). In a similar study, Nissen and colleagues studied 491 patients with “statin induced myalgia” treating with either atorvastatin 20mg per day or placebo in a double-blind crossover trial (102). In this trial 42.6% of patients were confirmed to have statin induced muscle symptoms. In a trial of 156 patients with prior statin induced muscle symptoms patients were treated with alternating periods of atorvastatin 20mg or placebo (103). In this trial no difference in muscle symptoms was found between the statin and placebo treatment periods. A smaller crossover trial in 49 patients who had stopped statin therapy also found no difference in muscle symptoms when patients were taking atorvastatin 20mg or placebo (104)

 

Thus, while statin induced myalgias are a real entity careful studies have shown that in the majority of patients with “statin induced muscle symptoms” the symptoms are not actually due to statin therapy. In the clinic it is difficult to be certain whether the muscle symptoms are actually due to true statin intolerance or to other factors. The approach to treating these patients will be discussed later in this chapter (Treatment of Stain Intolerant Patients). While some patients will not tolerate statin therapy due to myalgias, this side effect does not appear to result in serious morbidity or long-term consequences. In contrast, studies have found that discontinuing statins increases the risk of myocardial infarctions and death from cardiovascular disease (105,106).

 

Fortunately, the more serious muscle related side effects of statin therapy are rare. In a meta-analysis of 21 statin vs. placebo trials there was an excess risk of rhabdomyolysis of 1.6 patients per 100,000 patient years or a standardized rate of 0.016/patient years (86). Other studies report a rate of rhabdomyolysis between 0.03- 0.16 per 1,000 patient years (107). Similarly, the risk of statin induced myositis (muscle symptoms with an increase in CK 10 times the upper limits of normal) is also very low. In an analysis of 21 randomized trials myositis occurred in only 5 patients per 100,000 person years or 0.05/1000 patient years (86). The higher the dose of statin used the greater the risk of myositis and rhabdomyolysis. In a comparison of five trials that compared high dose statin vs. low dose statin there was an excess risk of rhabdomyolysis of 4 per 10,000 people treated (35). The likely basis for an increased risk of myositis or rhabdomyolysis is elevated statin blood levels, which are more likely to occur with high doses of statins. In the development of statins, manufacturers have studied higher doses that are not approved for clinical use. For example, simvastatin and pravastatin at 160mg per day were studied but discontinued due to an increased incidence of muscle side effects (108,109). The use of simvastatin 80mg per day, a previously approved dose, was discontinued due to an increased risk of muscle side effects. Similarly, pitavastatin at doses greater than 4mg per day was investigated, but development was abandoned when an increased risk of rhabdomyolysis was observed. Along similar lines, in many of the patients that develop rhabdomyolysis, the etiology can be linked to the use of other drugs that alter statin metabolism thereby increasing statin blood levels (93). For example, prior to drug interactions being recognized the use of cyclosporine, gemfibrozil, HIV protease inhibitors, and erythromycin in conjunction with certain statins was linked with the development of rhabdomyolysis (93). Finally, common variants in SLCO1B1, which encodes the organic anion-transporting polypeptide OATP1B1, are strongly associated with an increased risk of statin-induced myopathy (110). OATP1B1 facilitates the transport of statins into the liver and certain polymorphisms are associated with an increased risk of developing statin induced muscle disorders, due to the decreased transport of statins into the liver resulting in increased blood levels (111). The exact mechanism by which elevated blood levels induce muscle toxicity remains to be elucidated.

 

Recently it has been recognized that a very small number of patients taking statins develop a progressive autoimmune necrotizing myopathy, which is characterized by progressive symmetric proximal muscle weakness, elevated CK levels (typically >10x the ULN), and antibodies against HMG-CoA reductase (112). It is estimated that this occurs in 2 or 3 per 100,000 patients treated with a statin (112). This myopathy may begin soon after initiating statin therapy or develop after a patient has been on statins for many years (112). Muscle biopsy reveals necrotizing myopathy without severe inflammation (112). In contrast to the typical muscle disorders induced by statin therapy, the autoimmune myopathy progresses despite discontinuing therapy. Spontaneous improvement is not typical and most patients will need to be treated with immunosuppressive therapy (glucocorticoids plus methotrexate, azathioprine, or mycophenolate mofetil) (112). It should be recognized that this disorder can occur in individuals that have not been exposed to statin therapy (113). Statins likely potentiate the development of this disorder in susceptible individuals, perhaps by increasing HMG-CoA reductase levels.

 

From the above certain conclusions can be reached. First, the risk of serious muscle disorders due to statin therapy is very small, particularly if one is aware of the potential drug interactions that increase the risk. Second, the muscle toxicity is usually linked to elevated statin blood levels and the higher the dose of the statin the more likely the chance of developing toxicity. Third, myalgias in patients taking statins are very common and can be due to statin treatment. However, in the individual patient, it is very difficult to know if the myalgia is actually secondary to statin therapy and in many, if not most patients, the myalgias are not due to statin therapy. Fourth, the muscle symptoms that occur in association with statin treatment are a major reason why patients discontinue statin use and therefore better diagnostic algorithms and treatments are required to allow patients to better comply with these highly effective treatments to reduce cardiovascular disease. 

 

Contraindications

 

Previously statins were contraindicated in pregnant women or lactating women. However, in July 2021 the FDA requested the removal of the strongest recommendation against using statins during pregnancy. They continue to advise against the use of statins in pregnancy given the limited data and quality of information available. The decision of whether to continue a statin during pregnancy requires shared decision-making between the patient and clinician, and healthcare professionals need to discuss the risks versus the benefits in high-risk women, such as those with homozygous FH or prior ASCVD events, that may benefit from statin therapy. For a detailed discussion of the use of statins during pregnancy see the Endotext chapter entitled “Effect of Pregnancy on Lipid Metabolism and Lipoprotein Levels” (114).

 

In addition, liver function tests should be obtained prior to initiating statin treatment and moderate to severe liver disease is a contraindication to statin therapy (61). 

 

Summary

 

An enormous data base has accumulated which demonstrates that statins are very effective at reducing the risk of cardiovascular disease and that statins have an excellent safety profile. The risk benefit ratio of treating patients with statins is very favorable and has resulted in this class of drugs being widely utilized to lower serum lipid levels and to reduce the risk of cardiovascular disease and death.

 

EZETIMBE (ZETIA)

 

Introduction

 

Ezetimibe (Zetia) inhibits the absorption of cholesterol by the intestine thereby resulting in modest decreases in LDL-C levels (115). Ezetimibe is primarily used in combination with statin therapy when statin treatment alone does not lower LDL-C levels sufficiently or when patients only tolerate a low statin dose. It may also be used as monotherapy or in combination with other lipid lowering drugs to lower LDL-C levels in patients with statin intolerance. Finally, it is the drug of choice in patients with the rare genetic disorder sitosterolemia, which is discussed in detail in the chapter “Sitosterolemia” (116). Ezetimibe is relatively inexpensive as it is now a generic drug.

 

Effect of Ezetimibe on Lipid and Lipoprotein Levels

 

Pandor and colleagues have published a meta-analysis of ezetimibe monotherapy that included 8 studies with 2,722 patients (117). They reported that ezetimibe decreased LDL-C levels by 18.6%, decreased triglyceride levels by 8.1%, and increased HDL-C levels by 3% compared to placebo. In a pooled analysis by Morrone and colleagues of 27 studies with 11, 714 subjects treated with ezetimibe in combination with statin therapy similar results were observed (118). Specifically, LDL-C levels were decreased by 15.1%, non-HDL-C levels by 13.5%, triglycerides by 4.7%, apolipoprotein B levels by 10.8%, and HDL-C levels were increased by 1.6%. The combination of a high dose potent statin plus ezetimibe can lower LDL-C levels by 70% (119). A meta-analysis of the effect of ezetimibe on Lp(a) revealed that with either monotherapy or combination with statin there was no change in Lp(a) levels (120). The effect of ezetimibe on lipid parameters occurs quickly and can be seen after 2 weeks of treatment. In patients with Heterozygous Familial Hypercholesterolemia who have marked elevations in LDL-C levels, the addition of ezetimibe to statin therapy resulted in a further 16.5% decrease in LDL-C levels (121). Thus, in comparison with statins, ezetimibe treatment produces modest decreases in LDL-C levels (15-20%). In addition to these changes in lipid parameters, ezetimibe in combination with a statin decreased hs-CRP by 10-19% compared to statin monotherapy (122,123). However, ezetimibe alone does not decrease hs-CRP levels (123).

 

Table 7. Effect of Ezetimibe on Lipid/Lipoprotein Levels

LDL-C

Decrease

Non-HDL-C

Decrease

Apolipoprotein B

Decrease

Triglycerides

Small decrease

HDL-C

Small increase

Lp(a)

No change

 

Mechanisms Accounting for the Ezetimibe Induced Lipid Effects

 

NPC1L1 (Niemann-Pick C1-like 1 protein) is highly expressed in the intestine with the greatest expression in the proximal jejunum, which is the major site of intestinal cholesterol absorption (124,125). Knock out animals deficient in NPC1L1 have been shown to have a decrease in intestinal cholesterol absorption (124). Ezetimibe binds to NPC1L1 and inhibits cholesterol absorption (115,124,125). In animals lacking NPC1L1, ezetimibe has no effect on intestinal cholesterol absorption, demonstrating that ezetimibe’s effect on cholesterol absorption is mediated via NPC1L1 (115,125). Thus, a major site of action of ezetimibe is to block the absorption of cholesterol by the intestine (115,125). Cholesterol in the intestinal lumen is derived from both dietary cholesterol (approximately 25%) and biliary cholesterol (approximately 75%); thus the majority is derived from the bile (125). As a consequence, even in patients that have very little cholesterol in their diet, ezetimibe will decrease cholesterol absorption. While ezetimibe is very effective in blocking intestinal cholesterol absorption it does not interfere with the absorption of triglycerides, fatty acids, bile acids, or fat-soluble vitamins including vitamin D and K.

 

When intestinal cholesterol absorption is decreased the chylomicrons formed by the intestine contain less cholesterol and thus the delivery of cholesterol from the intestine to the liver is diminished (126). This results in a decrease in the cholesterol content of the liver, leading to the activation of SREBPs, which enhance the expression of LDL receptors resulting in an increase in LDL receptors on the plasma membrane of hepatocytes (Figure 1) (126). Thus, similar to statins the major mechanism of action of ezetimibe is to decrease the levels of cholesterol in the liver resulting in an increase in the number of LDL receptors leading to the increased clearance of circulating LDL (126). In addition, the decreased cholesterol delivery to the liver may also decrease the formation and secretion of VLDL (126).

 

In addition to NPC1L1 expression in the intestine this protein is also expressed in the liver where it mediates the transport of cholesterol from the bile back into the liver (127). The inhibition of NPC1L1 in the liver will result in the increased secretion of cholesterol in bile and thereby could also contribute to a decrease in the cholesterol content of the liver and an increase in LDL receptor expression and a decrease in VLDL production.

 

Pharmacokinetics and Drug Interactions

 

Following absorption by intestinal cells ezetimibe is rapidly glucuronidated. The glucuronidated ezetimibe is then secreted into the portal circulation and rapidly taken up by the liver where it is secreted into the bile and transported back to the intestine (115). This enterohepatic circulation repeatedly returns ezetimibe to its site of action (note glucuronidated ezetimibe is a very effective inhibitor of NPC1L1) (115). Additionally, this enterohepatic circulation accounts for the long duration of action of ezetimibe and limits peripheral tissue exposure (115). Ezetimibe is not significantly excreted by the kidneys and thus the dose does not need to be adjusted in patients with renal disease.

 

Ezetimibe is not metabolized by the P450 system and does not have many drug interactions (115). It should be noted that cyclosporine does increase ezetimibe levels.

 

Effect of Ezetimibe Therapy on Clinical Outcomes

 

There have been a limited number of ezetimibe clinical outcome trials. Two have studied the effect of ezetimibe in combination with a statin vs. placebo making it virtually impossible to determine if ezetimibe per se has beneficial effects. However, one study has compared ezetimibe plus a statin vs. a statin alone and one study compared ezetimibe vs. placebo. Finally, a study compared moderate-intensity statin with ezetimibe vs. high-intensity statin monotherapy.

 

SEAS TRIAL

 

The SEAS Trial was a randomized trial of 1,873 patients with mild-to-moderate, asymptomatic aortic stenosis (128). The patients received either simvastatin 40mg per day in combination with ezetimibe 10mg per day vs. placebo daily. The primary outcome was a composite of major cardiovascular events, including death from cardiovascular causes, aortic-valve replacement, non-fatal myocardial infarction, hospitalization for unstable angina pectoris, heart failure, coronary-artery bypass grafting, percutaneous coronary intervention, and non-hemorrhagic stroke. Secondary outcomes were events related to aortic-valve stenosis and ischemic cardiovascular events. Simvastatin plus ezetimibe lowered LDL-C levels by 61% compared to placebo. There were no significant differences in the primary outcome between the treated vs. placebo groups. Similarly, the need for aortic valve replacement was also not different between the treated and placebo groups. However, fewer patients had ischemic cardiovascular events in the simvastatin plus ezetimibe treated group than in the placebo group (hazard ratio, 0.78; 95% CI, 0.63 to 0.97; P=0.02), which was primarily accounted for by a decrease in the number of patients who underwent coronary-artery bypass grafting. The design of this study does not allow for one to determine if the beneficial effect on ischemic cardiovascular events typically produced by statin therapy was enhanced by the addition of ezetimibe.

 

SHARP TRIAL

 

The SHARP Trial was a randomized trial of 9,270 patients with chronic kidney disease (3,023 on dialysis and 6,247 not on dialysis) with no known history of myocardial infarction or coronary revascularization (129). Patients were randomly assigned to simvastatin 20 mg plus ezetimibe 10 mg daily vs. placebo. The primary outcome was first major atherosclerotic event (non-fatal myocardial infarction or coronary death, non-hemorrhagic stroke, or any arterial revascularization procedure). Treatment with simvastatin plus ezetimibe resulted in a decrease in LDL-C of 0.85 mmol/L (~34mg/dL). This decrease in LDL-C was associated with a 17% reduction in major atherosclerotic events. In patients on hemodialysis there was a 5% decrease in cardiovascular events that was not statistically significant. Unfortunately, similar to the SEAS Trial, it is impossible to determine whether the addition of ezetimibe improved outcomes above and beyond what would have occurred with statin treatment alone.

 

IMPROVE-IT TRIAL

 

The IMPROVE-IT Trial tested whether the addition of ezetimibe to statin therapy would provide an additional beneficial effect in patients with the acute coronary syndrome (130). The IMPROVE-IT Trial was a large trial with over 18,000 patients randomized to simvastatin 40mg vs. simvastatin 40mg + ezetimibe 10mg per day. On treatment LDL-C levels were 70mg/dL in the statin alone group vs. 54mg/dL in the statin + ezetimibe group. There was a small but significant 6.4% decrease in major cardiovascular events (cardiovascular death, MI, documented unstable angina requiring rehospitalization, coronary revascularization, or stroke) in the statin + ezetimibe group (HR 0.936 CI (0.887, 0.988) p=0.016). Cardiovascular death, non-fatal MI, or non-fatal stroke were reduced by 10% (HR 0.90 CI (0.84, 0.97) p=0.003). There was a significant 21% reduction in ischemic stroke (HR, 0.79; 95% CI, 0.67-0.94; P=0.008) and a nonsignificant increase in hemorrhagic stroke (HR, 1.38; 95% CI, 0.93-2.04; P=0.11) (131). Patients with a prior stroke were at a higher risk of stroke recurrence and the risk of a subsequent stroke was reduced by 40% (HR, 0.60; 95% CI, 0.38-0.95; P=0.030) with ezetimibe added to simvastatin therapy (131). In patients with diabetes or other high risk factors the benefits of adding ezetimibe to statin therapy was enhanced (132). In fact, patients without DM and at low or moderate risk demonstrated no benefit with the addition of ezetimibe to simvastatin (132). Similarly, patients who also had peripheral arterial disease or a history of cerebral vascular disease also had the greatest absolute benefits from the addition of ezetimibe (133). Thus, the addition of ezetimibe to statin therapy is of greatest benefit in patients at high risk (for example patients with diabetes, peripheral vascular disease, cerebrovascular disease, etc.).

 

The results of this study have a number of important implications. First, it demonstrates that combination therapy has benefits above and beyond statin therapy alone. Second, it provides further support for the hypothesis that lowering LDL per se will reduce cardiovascular events. The reduction in cardiovascular events was similar to what one would predict based on the Cholesterol Treatment Trialists results. Third, it suggests that lowering LDL levels into the 50s will have benefits above and beyond lowering LDL levels to the 70mg/dL range in patients with diabetes or other factors that result in a high risk for cardiovascular events. These results have implications for determining goals of therapy and provide support for combination therapy.

 

EWTOPIA 75

 

This was a multicenter, randomized trial in Japan that examined the preventive efficacy of ezetimibe for patients aged ≥75 years (mean age 80.6 years), with elevated LDL-C (≥140 mg/dL) without a history of coronary artery disease who were not taking lipid lowering drugs (134). Patients were randomized to ezetimibe 10mg (n=1,716) or usual care (n=1,695) and followed for 4.1 years. The primary outcome was a composite of sudden cardiac death, myocardial infarction, coronary revascularization, or stroke. In the ezetimibe group LDL-C was decreased by 25.9% and non-HDL-C by 23.1% while in the usual care group LDL-C was decreased by 18.5% and non-HDL-C by 16.5% (p<0.001 for both lipid parameters). By the end of the trial 9.6% of the patients in the usual care group and 2.1% of the ezetimibe group were taking statins. Ezetimibe reduced the incidence of the primary outcome by 34% (HR 0.66; P=0.002). Additionally, composite cardiac events were reduced by 60% (HR 0.60; P=0.039) and coronary revascularization by 62% (HR 0.38; P=0.007) in the ezetimibe group vs. the control group. There was no difference in the incidence of stroke or all-cause mortality between the groups. It should be noted that the reduction in cardiovascular events was much greater than one would expect based on the absolute difference in LDL-C levels (121mg/dL in ezetimibe group vs. 132mg/dL). As stated by the authors “Given the open-label nature of the trial, its premature termination, and issues with follow-up, the magnitude of benefit observed should be interpreted with caution.” Nevertheless, this study provides additional support that ezetimibe can reduce cardiovascular events.

 

RACING TRIAL

 

The RACING trial was a randomized, open-label trial in patients with atherosclerotic cardiovascular disease carried out in South Korea (135). Patients were randomly assigned to either rosuvastatin 10 mg with ezetimibe 10 mg (n= 1894) or rosuvastatin 20 mg (n= 1886). The primary endpoint was cardiovascular death, major cardiovascular events, or non-fatal stroke. The median LDL-C level during the study was 58mg/dL in the combination therapy group and 66mg/dL in the statin monotherapy group (p<0·0001). The primary endpoint occurred in 9.1% of the patients in the combination therapy group and 9·9% of the patients in the high-intensity statin monotherapy group (non-inferior). Non-inferiority was observed in patients with LDL-C levels < 100mg/dL and >100mg/dL and in patients greater than 75 years of age (136,137).

 

This study demonstrates that moderate intensity statin with ezetimibe was non-inferior to high-intensity statin therapy with regards to cardiovascular death, major cardiovascular events, or non-fatal stroke. Interestingly a lower prevalence of discontinuation or dose reduction caused by intolerance to the study drug was seen with combination therapy. This indicates that using a moderate intensity dose of a statin with ezetimibe is a useful strategy in patients that do not tolerate high intensity statin therapy.

 

Side Effects

 

Ezetimibe has not demonstrated significant side effects. In monotherapy trials, the effect on liver function tests was similar to placebo. In a meta-analysis by Toth et al. of 27 randomized trials in > 20,000 participants evaluating statin plus ezetimibe vs. statin alone the incidence of liver function test abnormalities was slightly greater in the combination therapy group (statin alone- 0.35% vs. statin plus ezetimibe 0.56%) (138). In contrast, Luo and colleagues in a meta-analysis of 20 randomized with > 14,000 subjects did not observe a difference in liver function tests in the ezetimibe plus statin vs. statin alone group (139). With regards to muscle side effects, a meta-analysis of seven randomized trials by Kashani and colleagues found that monotherapy with ezetimibe or ezetimibe in combination with a statin did not increase the risk of myositis compared to placebo or monotherapy with a statin (140). Similarly, Luo et al also did not observe that combination therapy with ezetimibe and a statin increased the risk of myositis (139). In a meta-analysis by Savarese et al. of 7 randomized long-term studies including SEAS, SHARP, and IMPROVE-IT, the incidence of cancer was similar in patients treated with ezetimibe vs. patients not treated with ezetimibe (141). This confirms a previous study that also did not demonstrate an increased cancer risk in the three largest ezetimibe trials (142). Ezetimibe does not appear to have adverse effects on fasting glucose levels or A1c levels (143).

 

Thus, over many years of use ezetimibe has been shown to be a very safe drug without major side effects.

 

Contraindications

 

Ezetimibe is contraindicated in patients with active liver disease. The use of ezetimibe during pregnancy and lactation has not been studied.  

 

Summary

 

Ezetimibe has a modest ability to lower LDL-C levels and can be a very useful adjunct to statin therapy. When added to statin therapy it will lower the LDL-C by an additional 15-20% which is equivalent to three titrations of the statin dose (for example adding ezetimibe is equivalent to increasing atorvastatin from 10mg to 80mg per day). Additionally, the combination of a high dose of a potent statin (rosuvastatin 40mg per day) with ezetimibe was able to lower the LDL by approximately 70%, which will allow many patients to reach their LDL goal (123). In patient’s intolerant of statins who either cannot take a statin or can only take low doses of a statin, ezetimibe is extremely useful in further lowering LDL-C. The ease of taking ezetimibe, the lack of serious side effects, and that it is inexpensive as it is now a generic drug make it an obvious second choice drug after statins to lower LDL-C levels.   

 

BILE ACID SEQUESTRANTS 

 

Introduction

 

There are three bile acid sequestrants approved for use in the United States. The first bile acid sequestrant, cholestyramine (Questran), was developed in the 1950s and was the second drug available to lower cholesterol levels (niacin was the first drug). Colestipol (Colestid) was developed in the 1970s and is very similar to cholestyramine. In 2000, Colesevelam (Welchol) was approved. Colesevelam has enhanced binding and affinity for bile acids compared to cholestyramine and colestipol and therefore can be given in much lower doses reducing some side effects (144).

 

​Cholestyramine is available as a powder and the dose ranges from 8-24 grams per day given with meals. Colestipol is available as a tablet and the dose ranges from 2-16 grams per day given with meals or granules and the dose ranges from 5-30 grams per day given with meals. The dose of colesevelam is 3.75 grams per day and can be given as tablets (​take 6 tablets once daily or 3 tablets twice daily), oral suspension (​take one packet once daily), or chewable bars (take one bar once daily). Because bile acid sequestrants mechanism of action starts with the binding of bile acids in the intestine (see below) these drugs are most effective when administered with meals.

 

Effect of Bile Acid Sequestrants on Lipid and Lipoprotein Levels

 

The major effect of bile acid sequestrants is to lower LDL-C levels in a dose dependent fashion. Depending upon the specific drug and dose the decrease in LDL-C ranges from approximately 5 to 30% (144-146). The effect of monotherapy with bile acid sequestrants on LDL-C levels observed in various studies is shown in table 8.

 

Table 8. Effect of Bile Acid Sequestrants on LDL-C

Drug

LDL lowering

Cholestyramine 4g/day

7% decrease

Cholestyramine 24g/day

28% decrease

Colestipol 4g/day

12% decrease

Colestipol 16g/day

24% decrease

Colesevelam 3.8g/day

15% decrease

Colesevelam 4.3g/day

18% decrease

 

Bile acid sequestrants are typically used in combination with statins and the addition of bile acid sequestrants to statin therapy will result in a further 10% to 25% decrease in LDL-C levels (144-146). Combination therapy can result in a 60% reduction in LDL-C levels when high doses of potent statins are combined with high doses of bile acid sequestrants. Bile acid sequestrants will also further lower LDL-C levels by as much as 18% when added to statins and ezetimibe (147). This is particularly useful in patients with Heterozygous Familial Hypercholesterolemia who can have very high LDL-C levels at baseline. Additionally, in patients who are statin intolerant, the combination of a bile acid sequestrant and ezetimibe resulted in an additional 10-20% decrease in LDL-C compared to either drug alone  (148,149). Thus, both in monotherapy and in combination with other drugs that lower LDL-C levels, bile acid sequestrants are effective in lowering LDL-C levels

 

Bile acid sequestrants have a very modest effect on HDL-C levels, typically resulting in a 3-9% increase (144-146). The effect of bile acid sequestrants on triglyceride levels varies (144-146). In patients with normal triglyceride levels, bile acid sequestrants increase triglyceride levels by a small amount. However, as baseline triglyceride levels increase, the effect of bile acid sequestrants on plasma triglyceride levels becomes greater, and can result in substantial increases in triglyceride levels. In patients with triglycerides > 400mg/dL the use of bile acid sequestrants is contraindicated.

 

Table 9. Effect of Bile Acid Sequestrants on Lipid/Lipoprotein Levels

LDL-C

Decrease

Non-HDL-C

Decrease

Apolipoprotein B

Decrease

Triglycerides

Variable. If TG levels elevated will increase significantly

HDL-C

Small Increase

Lp(a)

No change

 

Non-Lipid Effects of Bile Acid Sequestrants

 

Bile acid sequestrants have been shown to reduce fasting glucose and hemoglobin A1c levels (150). Colesevelam has been most intensively studied and in a number of different studies colesevelam has decreased A1c levels by approximately 0.5-1.0% in patients also treated with a variety of glucose lowering drugs including metformin, sulfonylureas, and insulin. The Food and Drug Administration (FDA) has approved colesevelam for improving glycemic control in patients with type 2 diabetes.

 

Bile acid sequestrants decrease CRP. For example, Devaraj et al have shown that colesevelam decreases hs-CRP by 18% compared to placebo (151). In combination with a statin, colesevelam reduced hs-CRP levels by 23% compared to statin alone (152). 

 

Mechanisms Accounting for Bile Acid Sequestrants Induced Lipid Effects

 

Bile acid sequestrants bind bile acids in the intestine, preventing their reabsorption in the terminal ileum leading to the increased fecal excretion of bile acids (153). This decrease in bile acid reabsorption reduces the size of the bile acid pool, which stimulates the conversion of cholesterol into bile acids in the liver (153). This increase in bile acid synthesis decreases hepatic cholesterol levels leading to the activation of SREBPs that up-regulate the expression of the enzymes required for the synthesis of cholesterol and the expression of LDL receptors (153). The increase in hepatic LDL receptors results in the increased clearance of LDL from the circulation leading to a decrease in serum LDL-C levels (Figure 1). Thus, similar to statins and ezetimibe, bile acids lower plasma LDL-C levels by decreasing hepatic cholesterol levels, which stimulates LDL receptor production and thereby accelerates the clearance of LDL from the blood.

 

The key regulator of bile acid synthesis is FXR (farnesoid X receptor), a nuclear hormone receptor that forms a heterodimer with RXR to regulate gene transcription (154,155). Bile acids down-regulate cholesterol 7α hydroxylase, the first enzyme in the bile acid synthetic pathway by several FXR mediated mechanisms. In the ileum, bile acids via FXR stimulate the production of FGF19, which is secreted into the portal vein and inhibits cholesterol 7α hydroxylase expression in the liver (154). Additionally, in the liver, bile acids activate FXR leading to the increased expression of SHP (small heterodimer partner), which inhibits the transcription of cholesterol 7α hydroxylase (155). Thus, a decrease in bile acids will lead to the decreased activation of FXR in the liver and intestines and thereby result in an increase in cholesterol 7α hydroxylase expression and the increased conversion of cholesterol to bile acids resulting in a decrease in hepatic cholesterol content.

 

Decreased activation of FXR can also explain the adverse effects of bile acid sequestrants on triglyceride levels (156,157). Activation of FXR increases the expression of apolipoprotein C-II, apolipoprotein A-V, and the VLDL receptor, proteins that decrease plasma triglyceride levels while decreasing the expression of apolipoprotein C-III, a protein that is associated with increases in plasma triglycerides (156,157). Thus, activation of FXR would be expected to decrease triglyceride levels as increases in apolipoprotein C-II, apolipoprotein A-V, and the VLDL receptor and decreases in apolipoprotein C-III would reduce plasma triglyceride levels. With bile acid sequestrants the activation of FXR would be reduced and decreases in the expression of apolipoprotein C-II, apolipoprotein A-V, and the VLDL receptor and increased expression of apolipoprotein C-III would increase plasma triglyceride levels.

 

The mechanism by which treatment with bile acid sequestrants improves glycemic control is unclear (158). 

 

Pharmacokinetics and Drug Interactions

 

Bile acid sequestrants are not absorbed and not altered by digestive enzymes and thus their primary effects are localized to the intestine (144-146). It should be noted that bile acid sequestrants can indirectly have systemic effects by decreasing the reabsorption of bile acids and thereby reducing the exposure of cells to bile acids, which are biologically active compounds.

 

Unfortunately, in the intestine bile acid sequestrants can impede the absorption of many other drugs (144-146). This is particularly true for cholestyramine and colestipol which are used in large quantities (maximum doses- cholestyramine 24 grams per day; colestipol 30 grams per day). In contrast, colesevelam, which requires a much lower quantity of drug because of its high affinity and binding capacity for bile salts, has less of an effect on the absorption of other drugs (recommended dose of colesevelam 3.75 grams/day). Of particular note colesevelam does not interfere with absorption of statins, fenofibrate, or ezetimibe. A list of some of the drugs whose absorption is affected by cholestyramine or colestipol is shown in table 10 and a list of drugs whose absorption is affected by colesevelam is shown in table 11.

 

Table 10.  Some of the Drugs Affected by Cholestyramine/Colestipol

Statins

Ezetimibe

Gemfibrozil

Fenofibrate

Thiazides

Furosemide

Spironolactone

Digoxin

Warfarin

L-thyroxine

Corticosteroids

Vitamin K

Cyclosporine

Raloxifine

NSAIDs

Sulfonylureas

Aspirin

Beta blockers

Tricyclic

 

 

Table 11. Some of the Drugs Affected by Colesevelam

L-thyroxine

Cyclosporine

Glimepiride

Glipizide

Glyburide

Phenytoin

Olmesartan

Warfarin

Oral contraceptives

 

 

 

 

It is currently recommended that medications should be taken either 4 hours before or 4 hours after taking bile acid sequestrants. This is particularly important with drugs that have a narrow toxic/therapeutic window, such as thyroid hormone, digoxin, or warfarin. It can be very difficult for many patients, particularly those on multiple medications, to take bile acid sequestrants given the need to separate pill ingestion.

 

Cholestyramine and colestipol may also interfere with the absorption of fat-soluble vitamins. Taking a multivitamin 4 hours before or after these drugs can reduce the likelihood of a vitamin deficiency.

 

Effect of Bile Acid Sequestrants on Clinical Outcomes

 

The Lipid Research Clinics Coronary Primary Prevention Trial (LRC-CPPT) of cholestyramine vs. placebo was the first large drug study to explore the effect of specifically lowering LDL-C on cardiovascular outcomes (159). LRC-CPPT was a multicenter, randomized, double-blind study in 3,806 asymptomatic middle-aged men with primary hypercholesterolemia. The treatment group received cholestyramine 24 grams per day and the control group received a placebo for an average of 7.4 years. In the cholestyramine group total and LDL-C was decreased by 8.5% and 12.6% as compared to the placebo group. In the cholestyramine group there was a 19% reduction in risk (p < 0.05) of the primary end point accounted for by a 24% reduction in definite CHD death and a 19% reduction in nonfatal myocardial infarction. In addition, the incidence rates for new positive exercise tests, angina, and coronary bypass surgery were reduced by 25%, 20%, and 21%, respectively, in the cholestyramine group. The reduction in events correlated with the decrease in LDL-C levels (160). Of note, compliance with cholestyramine 24 grams per day was limited with many patients taking much less than the prescribed doses. These results indicate that lowering LDL-C with bile acid sequestrant monotherapy reduces cardiovascular disease.

 

In addition to the LRC-CPPT clinical outcome study, two studies have examined the effect of cholestyramine monotherapy on angiographic changes in the coronary arteries. The National Heart, Lung, and Blood Institute Type II Coronary Intervention Study and the St Thomas Atherosclerosis Regression Study reported that cholestyramine decreased the progression of atherosclerosis (161,162). There are a number of studies that have employed bile acid sequestrants in combination with other drugs and have shown a reduction in the progression of atherosclerosis or an increase in the regression of atherosclerosis but given the use of multiple drugs it is difficult to attribute the beneficial effects to the bile acid sequestrants (163-165). Unfortunately, there are no clinical outcome studies comparing statins alone vs. statins plus bile acid sequestrants.

 

Side Effects

 

Bile acid sequestrants do not have major systemic side effects as they are not absorbed and remain in the intestinal tract. However, they do cause gastrointestinal (GI) side effects (144-146). Constipation is a very common side effect and can be severe. In addition, patients will often complain of bloating, abdominal discomfort, and aggravation of hemorrhoids. Because of GI distress, a significant number of patients will discontinue therapy with bile acid sequestrants. These GI side effects are much more common with cholestyramine and colestipol compared to colesevelam, which is much better tolerated. One can reduce or ameliorate these GI side effects by increasing hydration, adding fiber to the diet (psyllium), and using stool softeners. Notably, bile acid sequestrants do not cause liver or muscle problems.

 

One should also be aware that bile acid sequestrants can be difficult for many patients to take. Colestipol and colesevelam pills are large and can be difficult for some patients to swallow. Additionally, patients need to take a large number of these pills (colesevelam- 6 pills per day; colestipol- as many as 16 pills per day). The granular forms of cholestyramine and colestipol do not dissolve and are ingested as a suspension in liquid. Many patients find mixing with water leads to an unpalatable mixture that is difficult to take. Sometimes mixing with fruit juice, apple sauce, mash potatoes, etc. make the mixture more palatable. The suspension form of colesevelam with either 1.875 or 3.75 grams is preferred by many patients.

 

As noted, earlier bile acid sequestrants can increase triglyceride levels, particularly in patients with elevated baseline triglyceride levels.

 

Contraindications

 

Bile acid sequestrants usually should be avoided in patients with pre-existing GI disorders. Bile acid sequestrants are contraindicated in patients with recent or repeated intestinal obstruction and patients with plasma triglyceride levels > 400mg/dL. In contradistinction from other lipid lowering drugs, bile acid sequestrants are not contraindicated during pregnancy or lactation (category B) (166). In women of child bearing age who are planning to become pregnant bile acid sequestrants can be a good choice to lower LDL levels.

 

Summary

 

Bile acid sequestrants are useful secondary drugs for the treatment of elevated LDL-C levels. They are typically used in combination with statin therapy as a second line drug or as an addition to statin plus ezetimibe therapy as a third line drug. In statin intolerant patients the combination of ezetimibe and a bile acid sequestrant is frequently employed. Bile acid sequestrants can be difficult drugs for patients to take due to GI side effects, difficulty taking the medication, and the need to avoid taking these drugs with other medications. To improve compliance with these drugs the clinician needs to spend time educating the patient on how to take these drugs and how to avoid side effects. Because of these difficulties other cholesterol lowering drugs are used more commonly than bile acid sequestrants. In patients with type 2 diabetes who need an improvement in glycemic control and LDL-C lowering colesevelam can be used to target both abnormalities.

 

PCSK9 MONOCLONAL ANTIBODIES

 

Introduction

 

In 2015 two monoclonal antibodies that inhibit PCSK9 (proprotein convertase subtilisin kexin type 9) were approved for the lowering of LDL-C levels. Alirocumab (Praluent) is produced by Regeneron/Sanofi and evolocumab (Repatha) is produced by Amgen (167,168). Alirocumab is administered as either 75mg or 150mg subcutaneously every 2 weeks or 300mg once a month while evolocumab is administered as either 70mg subcutaneously every 2 weeks or 420mg subcutaneously once a month.

 

Effect of PCSK inhibitors on Lipid and Lipoprotein Levels

 

There are a large number of studies that have examined the effect of PCSK9 inhibitors on lipid and lipoprotein levels. A meta-analysis of 24 studies comprising 10,159 patients reported a reduction in LDL-C levels of approximately 50% and in an increase in HDL of 5-8% (169). Notably, in 12 RCTs with 6,566 patients, Lp(a) levels were reduced by 25-30% (169). The higher the baseline Lp(a) the greater the reduction with treatment (170). It should be recognized that most LDL-C lowering drugs (statins, ezetimibe, bempedoic acid, and bile acid sequestrants) do not lower Lp(a) levels. PCSK9 inhibitors have not been shown to decrease hs-CRP levels (171).

 

MONOTHERAPY

 

Both alirocumab and evolocumab have been studied as monotherapy vs. ezetimibe. In the Mendel-2 study patients were randomly assigned to evolocumab, placebo, or ezetimibe (172). In the evolocumab group, LDL-C levels decreased by 57% while in the ezetimibe group LDL-C levels decreased by 18% compared to placebo. Additionally, non-HDL-C was decreased by 49%, apolipoprotein B by 47%, triglycerides by 5.3% (NS), and Lp(a) by 18.5% while HDL levels increased by 5.5% in the evolocumab treated subjects. In a study of alirocumab vs. ezetimibe, LDL-C levels were reduced by 47% in the alirocumab group and 16% in the ezetimibe group (173). In addition, alirocumab decreased non-HDL-C by 41%, apolipoprotein B by 37%, triglycerides by 12%, and Lp(a) by 17% and increased HDL by 6%. Thus, PCSK9 monoclonal antibodies are very effective in lowering pro-atherogenic lipoproteins when used in monotherapy and have a more robust effect than ezetimibe.

 

IN COMBINATION WITH STATINS

 

In the Odyssey Combo I study, patients on maximally tolerated statin therapy were randomized to alirocumab or placebo (174). Similar to monotherapy results, when alirocumab was added to statin therapy there was a further decrease in LDL-C levels by 46%, non-HDL-C by 38%, apolipoprotein B by 36%, and Lp(a) by 15% with an increase in HDL of 7% and no change in triglyceride levels. In the Odyssey Combo II study, patients on maximally tolerated statin therapy were randomized to alirocumab vs. ezetimibe (175). Alirocumab reduced LDL levels by 51% while ezetimibe reduced LDL by 21%, demonstrating that even when added to statin therapy, alirocumab has a significantly greater ability to reduce LDL-C levels than ezetimibe. In Odyssey Combo II, non-HDL-C levels were decreased by 42%, apolipoprotein B by 41%, triglycerides by 13%, and Lp(a) by 28% while HDL increased by 9% in the alirocumab treated group. In the Laplace-2 study, evolocumab was added to various statins used at different doses (176). It didn’t make any difference which statin was being used (atorvastatin, rosuvastatin, or simvastatin) or what dose (atorvastatin 10mg or 80mg; rosuvastatin 5mg or 40mg); the addition of evolocumab resulted in an approximately 60% further decrease in LDL-C levels beyond statin alone. Additionally, the Laplace-2 trial also showed that evolocumab was much more potent than ezetimibe when added to statin therapy (evolocumab resulted in an approximately 60% decrease in LDL vs. while ezetimibe resulted in an approximately 20-25% reduction).

 

IN COMBINATION WITH STATINS AND EZETIMIBE  

 

When evolocumab was added to patients receiving atorvastatin 80mg and ezetimibe 10mg there was 48% further reduction in LDL-C levels indicating that even in patients on very aggressive lipid lowering therapy the addition of a PCSK9 inhibitor can still result in a marked reduction in LDL-C (177). In addition to decreasing LDL-C there was also a 41% decrease in non-HDL-C, a 38% decrease in apolipoprotein B, and a 19% decrease in Lp(a) when evolocumab was added to statin plus ezetimibe therapy.

 

PATIENTS WITH HETEROZYGOUS FAMILIAL HYPERCHOLESTEROLEMIA  

 

Both alirocumab and evolocumab have been tested in patients with Heterozygous Familial Hypercholesterolemia (178,179). In the Rutherford-2 trial, evolocumab lowered LDL-C by 60%, non-HDL-C by 56%, apolipoprotein B by 49%, Lp(a) by 31%, and triglycerides by 22% while increasing HDL by 8% (178). In the Odyssey FH I and FH II studies, alirocumab lowered LDL-C by approximately 55%, non-HDL-C by ~50%, apolipoprotein B by ~43%, Lp(a) by ~19% and triglycerides by ~14% while increasing HDL by ~7% (179). Thus, in these difficult to treat patients PCSK9 monoclonal antibodies were still very effective at lowering pro-atherogenic lipoproteins.

 

PATIENTS WITH HOMOZYGOUS FAMILIAL HYPERCHOLESTEROLEMIA  

 

Evolocumab resulted in a 21-31% decrease in LDL-C levels compared to placebo in patients with Homozygous Familial Hypercholesterolemia (180,181). The response to therapy appears to be dependent on the underlying genetic cause. Patients with mutations in the LDL receptor leading to the expression of defective receptors respond to therapy whereas patients with mutations leading to negative receptors (null variants) have a poor response (180-182). Given the mechanism by which PCSK9 inhibitors lower LDL-C levels it is not surprising that patients that do not have any functional LDL receptors will not respond to therapy (see section on Mechanism of Lipid Lowering). Alirocumab decreased LDL-C by 35.6%, non-HDL-C by 32.9%, apolipoprotein B by 29.8%, and lipoprotein (a) by 28.4% (183). Given that PCSK9 monoclonal antibodies decrease LDL-C levels in some patients with Familial Hypercholesterolemia these drugs can be useful in this very difficult to treat patient population.

 

STATIN INTOLERANT PATIENTS  

 

A number of studies have examined the effect of PCSK9 monoclonal antibodies in statin intolerant patients (myalgias) and compared the response to ezetimibe treatment (102,184,185). As expected, treatment with a PCSK9 inhibitor was more effective in lowering LDL-C levels than ezetimibe. Importantly, muscle symptoms were less frequent in the PCSK9 treated patients than those treated with ezetimibe, indicating that PCSK9 monoclonal antibodies will be an effective treatment choice in statin intolerant patients with myalgias.

 

PATIENTS WITH DIABETES  

 

A meta-analysis of three trials with 413 patients with type 2 diabetes found that in patients with type 2 diabetes evolocumab caused a 60% decrease in LDL-C compared to placebo and a 39% decrease in LDL-C compared to ezetimibe treatment (186). In addition, in patients with type 2 diabetes, evolocumab decreased non-HDL-C 55% vs. placebo and 34% vs. ezetimibe) and Lp(a) (31% vs. placebo and 26% vs. ezetimibe). These beneficial effects were not affected by glycemic control, insulin use, renal function, and cardiovascular disease status. Thus, PCSK9 inhibitors are effective therapy in patients with type 2 diabetes and the beneficial effects on pro-atherogenic lipoproteins is similar to what is observed in non-diabetic patients.

 

PATIENTS WITH HYPERTRIGLYCERIDEMIA  

 

There are no studies that have examined the effect of PCSK9 monoclonal antibodies in patients with marked elevations in triglyceride levels (>400mg/dL).

 

Table 12. Effect of PCSK9 Inhibitors on Lipid/Lipoprotein Levels

LDL-C

Decrease

Non-HDL-C

Decrease

Apolipoprotein B

Decrease

Triglycerides

No change or small decrease

HDL-C

Small Increase

Lp(a)

Decrease

 

Mechanism Accounting for the PCSK9 Inhibitor Induced Lipid Effects

 

The linkage of PCSK9 with lipoprotein metabolism was first identified by Abifadel and colleagues in 2003, when they demonstrated that certain mutations in PCSK9 could result in the phenotypic appearance of Familiar Hypercholesterolemia (187). Subsequent studies demonstrated that gain of function mutations in PCSK9 are an uncommon cause of Familiar Hypercholesterolemia (167,168,188). In 2005 it was shown that loss of function mutations in PCSK9 resulted in lower LDL-C levels and this decrease in LDL-C levels was associated with a reduction in the risk of cardiovascular events (189,190).

 

The main route of clearance of clearance of plasma LDL is via LDL receptors in the liver (191). When the LDL particle binds to the LDL receptor the LDL particle- LDL receptor complex is taken into the liver by endocytosis (191). The LDL particle and the LDL receptor then disassociate and the LDL lipoprotein particle is delivered to lysosomes where it is degraded and the LDL receptor returns to the plasma membrane (Figure 2) (191). After endocytosis LDL receptors recirculate back to the plasma membrane over 100 times.

 

PCSK9 is predominantly expressed in the liver and secreted into the circulation. Once extracellular, PCSK9 can bind to the LDL receptor and alter the metabolism of the LDL receptor (192,193). Instead of the LDL receptor recycling to the plasma membrane the LDL receptor bound to PCSK9 remains associated with the LDL particle and is delivered to the lysosomes where it is also degraded (Figure 4) (192,193). This results in a decrease in the number of plasma membrane LDL receptors resulting in the decreased clearance of circulating LDL leading to elevations in plasma LDL-C levels.

 

The PCSK9 monoclonal antibodies bind PCSK9 preventing the PCSK9 from interacting with LDL receptors and thereby preventing PCSK9 from inducing LDL receptor degradation (192,193). The decreased LDL receptor degradation results in an increase in hepatic LDL receptors on the plasma membrane leading to the increased clearance of LDL and decreases in plasma LDL-C levels (194,195). Thus, similar to statins, ezetimibe, bempedoic acid, and bile acid sequestrants, PCSK9 inhibitors are reducing plasma LDL-C levels by up-regulating hepatic LDL receptors. The difference is that PCSK9 inhibitors are decreasing the degradation of LDL receptors while statins, ezetimibe, bempedoic acid, and bile acid sequestrants stimulate the production of LDL receptors.

 

Figure 4. PCSK9 Directs LDL Receptor to Degradation in Lysosome.

 

The expression of PCSK9 is stimulated by SREBP-2 (192,193). Statins and other drugs that lower hepatic cholesterol levels lead to the activation of SREBP-2 and thereby increase plasma PCSK9 levels (192,193). Inhibition of PCSK9 with monoclonal antibodies is more effective in lowering plasma LDL-C levels in patients on statin therapy due to the higher levels of plasma PCSK9 in these individuals.

 

The mechanism by which PCSK9 inhibitors reduce Lp(a) levels is unclear. Studies have shown that PCSK9 inhibitors increase the catabolism of lipoprotein(a) particles (196,197). In some circumstances PCSK9 inhibitors may also decrease the production rate (197). It has been postulated that increasing hepatic LDL receptor levels in the setting of marked reductions in circulating LDL levels will result in the clearance of Lp(a) by liver LDL receptors (198).

 

Pharmacokinetics and Drug Interactions

 

PCSK9 monoclonal antibodies are eliminated primarily by cellular endocytosis, phagocytosis, and target-mediated clearance. They are not metabolized or cleared by the liver or kidneys and therefore there is no need to adjust the dose in patients with either liver or kidney disease. There are no interactions with the cytochrome P450 system or transport proteins and thus the risk of drug-drug interactions is minimal. Currently there are no reported drug-drug interactions with PCSK9 monoclonal antibodies.

 

Effect of PCSK9 Inhibitors on Clinical Outcomes

 

FOURIER TRIAL

 

The FOURIER trial was a randomized, double-blind, placebo-controlled trial of evolocumab vs. placebo in 27,564 patients with atherosclerotic cardiovascular disease and an LDL-C level of 70 mg/dL or higher who were on statin therapy (199). The primary end point was cardiovascular death, myocardial infarction, stroke, hospitalization for unstable angina, or coronary revascularization and the key secondary end point was cardiovascular death, myocardial infarction, or stroke. The median duration of follow-up was 2.2 years. Baseline LDL-C levels were 92mg/dL and evolocumab resulted in a 59% decrease in LDL levels (LDL-C level on treatment approximately 30mg/dL). Evolocumab treatment significantly reduced the risk of the primary end point (hazard ratio, 0.85; 95% confidence interval (CI), 0.79 to 0.92; P<0.001) and the key secondary end point (hazard ratio, 0.80; 95% CI, 0.73 to 0.88; P<0.001). The results were consistent across key subgroups, including the subgroup of patients in the lowest quartile for baseline LDL-C levels (median, 74 mg/dL). Of note, a similar decrease in cardiovascular events occurred in patients with diabetes treated with evolocumab and glycemic control was not altered (200). Additionally, in patients with peripheral arterial disease evolocumab also reduced cardiovascular events (201). Further analysis has shown that in the small number of patients with a baseline LDL-C level less than 70mg/dL, evolocumab reduced cardiovascular events to a similar degree as in the patients with an LDL-C greater than 70mg/dL (202). The lower the on-treatment LDL-C levels (down to levels below 20mg/dL), the lower the cardiovascular event rate, suggesting that greater reductions in LDL-C levels will result in greater reductions in cardiovascular disease (203). Finally, the relative risk reductions with evolocumab for the cardiovascular events tended to be greater in high-risk subgroups (20% for those with a more recent MI, 18% with multiple prior MI, and 21% with residual multivessel coronary artery disease), whereas the relative risk reduction was 5% to 8% in patients without these risk factors (204). This observation suggests that certain groups of patients will derive greater benefit from the addition of a PCSK9 inhibitor.

 

It should be noted that that the duration of the FOURIER trial was very short and it is well recognized from previous statin trials that the beneficial effects of lowering LDL-C levels take time with only modest effects observed during the first year of treatment. In the FOURIER trial the reduction of cardiovascular death, myocardial infarction, or stroke was 16% during the first year but was 25% beyond 12 months.

 

ODYSSEY TRIAL

 

The ODYSSEY trial was a multicenter, randomized, double-blind, placebo-controlled trial involving 18,924 patients who had an acute coronary syndrome 1 to 12 months earlier, an LDL-C level of at least 70 mg/dL, a non-HDL-C level of at least 100 mg/dL, or an apolipoprotein B level of at least 80 mg/dL while on high intensity statin therapy or the maximum tolerated statin dose (205). Patients were randomly assigned to receive alirocumab 75 mg every 2 weeks or matching placebo. The dose of alirocumab was adjusted to target an LDL-C level of 25 to 50 mg/dL. The primary end point was a composite of death from coronary heart disease, nonfatal myocardial infarction, fatal or nonfatal ischemic stroke, or unstable angina requiring hospitalization. During the trial LDL-C levels in the placebo group was 93-103mg/dL while in the alirocumab group LDL-C levels were 40mg/dL at 4 months, 48mg/dL at 12 months, and 66mg/dL at 48 months (the increase with time was due to discontinuation of alirocumab or a decrease in dose). The primary endpoint was reduced by 15% in the alirocumab group (HR 0.85; 95% CI 0.78 to 0.93; P<0.001). In addition, total mortality was reduced by 15% in the alirocumab group (HR 0.85; 95% CI 0.73 to 0.98). The absolute benefit of alirocumab was greatest in patients with a baseline LDL-C level greater than 100mg/dL. In patients with an LDL-C level > than 100mg/dL the number needed to treat with alirocumab to prevent an event was only 16. It should be noted that the duration of this trial was very short (median follow-up 2.8 years) which may have minimized the beneficial effects. Additionally, because alirocumab 75mg every 2 weeks was stopped if the LDL-C level was < 15mg/dL on two consecutive measurements the beneficial effects may have been blunted (7.7% of patients randomized to alirocumab were switched to placebo).

 

SUMMARY OF OUTCOME TRIALS

 

It should be noted that that the duration of the PCSK9 outcome trials were relatively short and it is well recognized from previous statin trials that the beneficial effects of lowering LDL-C levels take time with only modest effects observed during the first year of treatment. In the FOURIER trial the reduction of cardiovascular death, myocardial infarction, or stroke was 16% during the first year but was 25% beyond 12 months. In the ODYSSEY trial the occurrence of cardiovascular events was similar in the alirocumab and placebo group during the first year of the study with benefits of alirocumab appearing after year one. Thus, the long-term benefits of treatment with a PCSK9 inhibitor may be greater than that observed during these relatively short-term studies.

 

GLAGOV TRIAL

 

While not an outcome trial the GLAGOV trial provides further support for the benefits of further lowering of LDL-C levels with a PCSK9 inhibitor added to statin therapy (206). This trial was a double-blind, placebo-controlled, randomized trial of evolocumab vs. placebo in 968 patients presenting for coronary angiography. The primary efficacy measure was the change in percent atheroma volume (PAV) from baseline to week 78, measured by serial intravascular ultrasonography (IVUS) imaging. Secondary efficacy measures included change in normalized total atheroma volume (TAV) and percentage of patients demonstrating plaque regression. As expected, there was a marked decrease in LDL-C levels in the evolocumab group (Placebo 93mg/dL vs. evolocumab 37mg/dL; p<0.001). PAV increased 0.05% with placebo and decreased 0.95% with evolocumab (P < .001) while TAV decreased 0.9 mm3 with placebo and 5.8 mm3 with evolocumab (P < .001). There was a linear relationship between achieved LDL-C and change in PAV (i.e., the lower the LDL-C the greater the regression in atheroma volume down to an LDL-C of 20mg/dL). Additionally, evolocumab induced plaque regression in a greater percentage of patients than placebo (64.3% vs 47.3%; P < .001 for PAV and 61.5% vs 48.9%; P < .001 for TAV). These results demonstrate the anti-atherogenic effects of PCSK9 inhibitors. Other trials in different patient populations have also shown that treatment with PCSK9 inhibitors are anti-atherogenic (207,208). 

 

VENOUS THROMBOEMBOLISM

 

In the FOURIER trial treatment with evolocumab resulted in a reduction in venous thromboembolism (VTE) (HR 0.71; 95% CI, 0.50-1.00; P=0.05) (209). Interestingly no effect was observed in the 1st year (HR, 0.96; 95% CI, 0.57-1.62) but a 46% reduction in VTE (HR, 0.54; 95% CI, 0.33-0.88; P=0.014) beyond 1 year occurred. In patients with low baseline Lp(a) levels, evolocumab reduced Lp(a) by only 7 nmol/L and had no effect on VTE risk but in patients with high baseline Lp(a) levels, evolocumab reduced Lp(a) by 33 nmol/L and risk of VTE by 48% (HR, 0.52; 95% CI, 0.30-0.89; P=0.017). In the ODYSSEY OUTCOMES trial, the risk of VTE was reduced but just missed being statistically significant (HR, 0.67; 95% CI, 0.44-1.01; P=0.06) (210). A meta-analysis of FOURIER and ODYSSEY OUTCOMES demonstrated a 31% relative risk reduction in VTE with PCSK9 inhibition (HR, 0.69; 95% CI, 0.53-0.90; P=0.007) (209).

 

Side Effects

 

The major side effect of PCSK9 monoclonal antibodies has been injection site reactions including erythema, itching, swelling, pain, and tenderness. Allergic reactions have been reported and as with any protein there is potential immunogenicity. In general side effects have been minimal, which is not surprising, as monoclonal antibodies do not typically have off target side effects. Since PCSK9 does not appear to have important functions other than regulating LDL receptor degradation, it is not surprising that inhibiting PCSK9 function has not resulted in major side effects.

 

A meta-analysis of 20 randomized controlled trials with 68,123 subjects found a very modest effect on fasting glucose (mean difference 1.88 mg/dL) and A1c levels (mean difference 0.032%) and did not observe an increased risk of developing diabetes (211). It should be recognized that the duration of these trials was relatively short (median follow-up 78 weeks) and therefore further long-term studies are required.

 

In the large outcome trials (ODYSSEY and FOURIER) there was no significant difference between the PCSK9 treated group vs. the placebo group with regard to adverse events (including new-onset diabetes and neurocognitive events). The only exception was the expected increase in injection-site reactions in the patients treated with a PCSK9 inhibitor. Additionally, in a subgroup of patients from the FOURIER trial a prospective study of cognitive function (EBBINGHAUS Study) was carried out and no significant differences in cognitive function was observed over a median of 19 months in the PCSK9 treated vs. placebo group (212). It should be recognized that while short-term treatment with PCSK9 inhibitors have not demonstrated any significant side effects it is possible that long-term use could lead to unexpected side-effects.

 

An issue of concern is whether lowering LDL-C to very low levels has the potential to cause toxicity. In a number of the PCSK9 studies a significant number of patients had LDL-C levels < 25mg/dL. For example, in the Odyssey long term study 37% of patients on alirocumab had two consecutive LDL-C levels below 25mg/dL and in the Osler long term study in patients treated with evolocumab 13% had values below 25mg/dL (213,214). In these short term PCSK9 studies, toxicity from very low LDL-C levels has not been observed. Additionally, in patients with Familial Hypobetalipoproteinemia LDL levels can be very low and these patients do not have any major disorders other than hepatic steatosis, which is not mechanistically due to low LDL-C levels (215). Similarly, there are rare individuals who are homozygous for loss of function mutations in the PCSK9 gene and they also do not appear to have major medical issues (168). Finally, in a number of statin trials there have been patients with very low LDL-C levels and an increased risk of side effects has not been consistently observed in those patients (216-218). Thus, with the limited data available there does not appear to be a major risk of markedly lowering LDL-C levels.   

 

Contraindications

 

Other than a history of a hypersensitivity to these drugs there are currently no contraindications. There are no studies during pregnancy or lactation.

 

Summary

 

PCSK9 monoclonal antibodies robustly reduce LDL-C levels when used as monotherapy, in combination with statins, or when added to the combination of statins + ezetimibe. In distinction to most other cholesterol lowering drugs the PCSK9 inhibitors also decrease Lp(a) levels. Outcome studies have clearly demonstrated that decreasing LDL-C levels with PCSK9 inhibitors reduces cardiovascular events. The side effect profile appears to be very favorable and there are no drug-drug interactions. The major limitation is the high expense of these drugs, which has limited their widespread use.

 

INCLISIRAN (LEQVIO)

 

Introduction

 

Inclisiran (Leqvio) is a double-stranded, siRNA (small interfering RNA) conjugated on the sense strand with triantennary N-acetylgalactosamine (GalNAc) to facilitate uptake into hepatocytes (219). In hepatocytes, inclisiran stimulates the catalytic breakdown of PCSK9 mRNA thereby reducing the hepatic synthesis of PCSK9 and markedly decreasing plasma PCSK9 levels (219,220). The recommended dose of inclisiran is 284 mg by subcutaneous injection, followed with a repeat injection at 3 months, and then every 6 months (package insert). If a dose is missed by more than 3 months it is recommended to repeat the dosage schedule described above (package insert). It is recommended that inclisiran be administered by a healthcare professional.

 

Effect on Inclisiran on Lipid and Lipoprotein Levels

 

There have been several large trials examining the efficacy of inclisiran. The ORION-10 trial was conducted in the United States and included adults with atherosclerotic cardiovascular disease on a maximally tolerated statin with an LDL-C > 70mg/dL (220). Patients were randomized to inclisiran 284mg (n=781) at initial visit, 3 months, 9 months, and 15 months or placebo (n=780) and followed for 540 days. After 3 months the LDL-C was reduced by approximately 50% and this reduction was sustained throughout the duration of the trial (at 540 days the LDL-c was reduced by 52.3% (P<0.001)). As expected, total cholesterol (-33%), non-HDL-C (-47%), and apolipoprotein B (-43%) were also decreased. Additionally, triglyceride (-13%) and Lp(a) (-26%) levels were decreased while HDL-C levels (+5.1%) and hsCRP (+8.8%) were slightly increased. ORION-11 was a very similar trial with an identical protocol conducted in Europe and South Africa and included adults with ASCVD or an ASCVD risk equivalent on maximally tolerated statin therapy (inclisiran n=810 and placebo n=807) (220). At 540 days LDL-C was reduced by 49.9% (P<0.001). Changes in other lipid parameters were similar to those observed in ORION 10. Subgroup analysis revealed that in both the ORION 10 and 11 trials that all subgroups had a similar reduction in LDL-C levels with inclisiran therapy including subjects with diabetes, moderate renal impairment, and greater than 75 years of age (220). Statin therapy and whether statin therapy was moderate intensity or high intensity also did not affect the reduction in LDL-C (220). Additionally, in patients with renal disease, including individuals with an estimated creatinine clearance between 15-29 mL/min, the reduction in LDL-C levels with inclisiran administration were similar to individuals with normal renal function (221). The decrease in LDL-C with inclisiran treatment has been shown to persist for 4 years (222).

 

HETEROZYGOUS FAMILIAL HYPERCHOLESTEROLEMIA

 

The effect of inclisiran on LDL-C levels was determined in patients with heterozygous familial hypercholesterolemia who were randomized to receive subcutaneous injections of inclisiran 284mg (n= 242) or placebo (n=240) on days 1, 90, 270, and 450 (223). The mean baseline LDL-C level was 153±54mg/dL and 90% of the patients were receiving statins with most on high intensity statins (75%). At day 510 LDL-C levels were reduced by 47.9% compared to placebo (P<0.001). The reduction in LDL-C was similar in all genotypes of familial hypercholesterolemia. Total cholesterol was reduced by 33%, non-HDL-C by 44%, Lp(a) by 17.2%, and triglycerides by 12%. HDL-C and hsCRP were not markedly altered.

 

HOMOZYGOUS FAMILIAL HYPERCHOLESTEROLEMIA

 

A small study reported that inclisiran treatment lowered LDL-C levels in 3 of 4 patients with homozygous familiar hypercholesterolemia  (17.5% to 37% decrease) but less than that seen in individuals with fully functioning LDL receptors (224). A larger more recent trial failed to demonstrate a decrease in LDL-C levels with inclisiran treatment (225). Of note there was considerable variation in the LDL-C response, which could be due to differences in genetic variants. Individuals with null-null LDL receptor variants (i.e. no functioning LDL receptors) are unlikely to respond to inclisiran due to the absence of LDL receptors and the group treated with inclisiran in this study was enriched in patients with this genotype, which could explain the absence of a significant reduction in LDL-C.     

 

Mechanisms Accounting for Inclisiran Induced Lipid Effects

 

The mechanism of action of inclisiran is the same as for PCSK9 monoclonal antibodies (219). Briefly, decreasing the production of PCSK9 in the liver, the primary source of circulating PCSK9, leads to a decrease in plasma PCSK9 levels resulting in a decrease in LDL receptor degradation (219). An increase in the number of hepatic LDL receptors increases the clearance of LDL leading to a decrease in LDL-C levels (219).  

 

Pharmacokinetics and Drug Interactions

 

There are no drug interactions. The reduction in LDL-C occurs within 14 days after drug administration and persists for an extended period of time allowing for administration every 6 months.

 

Effect of Inclisiran on Clinical Outcomes

 

No outcome studies are currently available. A cardiovascular outcome study (ORION-4) is ongoing and includes 15,000 patients with established ASCVD. The trial duration is five years and completion is expected in 2024 (NCT03705234) (ClinicalTrials.gov, 2020a).

 

Side Effects

 

The only adverse reactions associated with inclisiran were injection site reactions including rash, pain, and erythema (220). In an analysis of 7 studies with 3,576 patients treated with inclisiran for up to 6 years and 1,968 patients treated with placebo for up to 1.5 years, hepatic, muscle, and kidney events; incident diabetes; and elevations of creatine kinase or creatinine were not increased in patients treated with inclisiran (226).

 

Contraindications

 

In patients with severe hepatic or renal impairment inclisiran should be used with caution as there is limited data and experience in these patients. There are no studies during pregnancy or lactation.

 

Summary

 

Inclisiran very effectively lowers LDL-C levels. The major advantage of this drug compared to PCSK9 monoclonal antibodies is the ability to administer inclisiran every 6 months, which may improve compliance.

 

BEMPEDOIC ACID (NEXLETOL)

 

Introduction

 

Bempedoic acid was approved in the US in February 2020 and is an adenosine triphosphate-citrate lyase (ACL) inhibitor. It is administered orally once daily with or without food at a dose of 180mg (Nexletol). It is also available as a combination tablet containing 180 mg of bempedoic acid and 10 mg of ezetimibe (Nexlizet).

 

Effect on Bempedoic on Lipid and Lipoprotein Levels

 

EFFECT WITHOUT STATINS

 

In a study that randomized 345 patients with hypercholesterolemia (LDL-C 158mg/dL) and a history of intolerance to statin to either bempedoic acid or placebo (2:1), bempedoic acid decreased LDL-C by 21.4%, non-HDL-C by 17.9%, and apolipoprotein B by 15% (227). One third of patients were on background non-statin therapy most commonly ezetimibe and fish oil. Triglyceride levels were not altered but there was a small decrease in HDL-C levels that was statistically significant (-4.5%).

 

IN COMBINATION WITH STATINS

 

There have been two large trials that determined the effect of adding bempedoic acid to statin therapy. In a study that randomized 779 patients on maximally tolerated statin therapy +/- ezetimibe (only a small number on ezetimibe) with an LDL-C level greater than 70mg/dL (baseline LDL-C 120mg/dL) to either bempedoic acid or placebo it was observed that bempedoic acid decreased LDL-C levels by 17.4% compared to placebo (p<0.001) (228). In addition, non-HDL-C and apolipoprotein B levels were decreased by 13% compared to placebo while there was no significant change in triglyceride levels. Bempedoic acid decreased HDL-C levels by approximately 6%. In a similar study, patients with atherosclerotic cardiovascular disease, heterozygous familial hypercholesterolemia, or both with an LDL-C level greater than 70 mg/dL (baseline LDL-C 103mg/dL) while on maximally tolerated statin therapy with or without additional lipid-lowering therapy (only a small number on ezetimibe) were randomized to bempedoic acid (n= 1,488) or placebo (n= 742) (229). Compared to placebo, treatment with bempedoic acid decreased LDL-C by 18.1%, non-HDL-C by 13.5%, and apolipoprotein B by 11.9%. Triglyceride levels were unchanged but HDL-C decreased by 5.92%. Of note in both of the above studies the decrease in LDL-C was maintained over 52 weeks.

 

Notably, the addition of bempedoic acid to atorvastatin 80mg per day was still capable of significantly decreasing LDL-C (22%), non-HDL-C (13%), and apolipoprotein B (-15%) compared to placebo (230). The addition of bempedoic acid to high dose atorvastatin therapy did not cause meaningful changes in atorvastatin pharmacokinetics.   

 

IN COMBINATION WITH EZETIMIBE

 

Patients on maximally tolerated statin therapy with LDL-C levels greater 100 mg/dL if they had cardiovascular disease and/or Familiar Hypercholesterolemia or greater than 130 mg/dL if they had multiple CVD risk factors were randomized to bempedoic acid + ezetimibe, bempedoic acid alone, ezetimibe alone, or placebo (231). The key results of this study are shown in Table 14. Changes from baseline in HDL-C and triglyceride level were modest (<10%) in all treatment groups. In another study patients with a history of statin intolerance on ezetimibe therapy were randomized to bempedoic acid (n=181) or placebo (n= 88) (232). Compared to placebo, bempedoic acid decreased LDL-C by 28.5%, non-HDL-C by -23.6%, and apolipoprotein B by -19.3%. As seen in other studies bempedoic acid did not alter triglyceride levels but slightly decreased HDL-C levels (approximately 6% decrease compared to placebo).

 

Table 14. Effect of Bempedoic Acid and Ezetimibe on Lipid Parameters (231)

 

LDL-C

Non-HDL-C

Apo B

hsCRP

Bempedoic acid + ezetimibe

-38%

-33.7%

-30.1

-35.1

Bempedoic acid

-19%

-15.9%

-17.3

-31.9

Ezetimibe

-25%

-21.7

-20.8

-8.2

 Results are percent decrease compared to the placebo group.

 

Summary

 

Bempedoic acid typically lowers LDL-C by 15-25%, non-HDL-C by 10-20%, and apolipoprotein B levels by 10-20% with no significant effects on triglyceride levels. HDL-C levels decrease by 5-8% and Lp(a) are unchanged (233).

 

Table 15. Effect of Bempedoic Acid on Lipid/Lipoprotein Levels

LDL-C

Decrease

Non-HDL-C

Decrease

Apolipoprotein B

Decrease

Triglycerides

No change

HDL-C

Small decrease

Lp(a)

No change

 

Non-Lipid Effects of Bempedoic Acid

 

Bempedoic acid decreases hsCRP levels (see table 14, 16).

 

Table 16. Effect of Bempedoic Acid on hsCRP Levels

Reference

Percent decrease in hsCRP

(227)

-24.3

(228)

-8.7

(229)

-21.5

(230)

-44

(232)

-31

 

In the CLEAR Outcome study with a median follow-up of 3.4 years there was no difference in the development of new onset diabetes in the bempedoic acid and placebo groups (429 of 3848, -11·1% with bempedoic acid vs 433 of 3749, 11·5% with placebo; HR 0.95; 95% CI 0.83-1.09) (234). Additionally, during the study HbA1c concentrations and fasting glucose levels were similar between the bempedoic acid and placebo groups in patients who had either prediabetes or normoglycemia. In the CLEAR Outcome study in patients with diabetes the prevalence of worsening diabetes was similar in the bempedoic acid and placebo group (235,236)   

 

Mechanisms Accounting for Bempedoic Acid Induced Lipid Effects

 

Bempedoic acid is a potent inhibitor of ATP-citrate lyase, which catalyzes the formation of acetyl-CoA in the cytoplasm (237). Acetyl-CoA is a precursor for the synthesis of cholesterol (figure 5). The inhibition of ATP-citrate lyase by bempedoic acid decreases cholesterol synthesis in liver reducing hepatic intracellular cholesterol levels (237). Of note, bempedoic acid is a pro-drug and conversion to its CoA-derivative by very-long-chain acyl-CoA synthetase-1 is required for inhibition of cholesterol synthesis (237). Very-long-chain acyl-CoA synthetase-1 is highly expressed in the liver but is not expressed in adipose tissue, kidney, intestine or skeletal muscle (237). The inability of bempedoic acid to be activated in muscle and inhibit cholesterol synthesis suggests that bempedoic acid is unlikely result in muscle toxicity.

 

Figure 5. Inhibition of Cholesterol Synthesis by Bempedoic Acid.

 

The decrease in plasma LDL-C levels in patients treated with bempedoic acid is primarily due to an increase in hepatic LDL receptors secondary to the inhibition of cholesterol synthesis resulting in a reduction in hepatic cholesterol levels (237). It should be noted that bempedoic acid also decreases circulating LDL-C levels in LDL receptor deficient mice and LDL receptor deficient miniature pigs indicating that mechanisms in addition to up-regulation of hepatic LDL receptors may contribute to the decrease in LDL-C levels (237). The inhibition of hepatic cholesterol synthesis may decrease the production and secretion of VLDL, which could contribute to a decrease in LDL-C.

 

Pharmacokinetics and Drug Interactions

 

No dose adjustments are required in patients with mild or moderate renal or hepatic impairment or in the elderly (package insert). Concomitant use of bempedoic acid with simvastatin or pravastatin causes an increase in the concentrations of these drugs and therefore may increase the risk of myopathy (package insert). This drug interaction may be secondary to bempedoic acid inhibiting organic anion-transporting polypeptide OATP1B1. It is recommended to avoid concomitant use of bempedoic acid with simvastatin greater than 20 mg/day or pravastatin 40mg/day. While concomitant administration of bempedoic acid with atorvastatin or rosuvastatin elevated the area under the curve by 1.7-fold these elevations were generally within the individual statin exposures and do not impact dosing recommendations (package insert).

 

Effect of Bempedoic Acid on Clinical Outcomes

 

In animal models of atherosclerosis, treatment with bempedoic acid had favorable effects on atherosclerosis (237). Moreover, genetic variants of ATP citrate lyase that lower LDL-C levels are associated with a decrease in cardiovascular disease suggesting that bempedoic acid will have favorable effects on reducing the risk of cardiovascular disease (238).

 

The CLEAR Outcome trial was a double-blind, randomized, placebo-controlled trial involving patients with cardiovascular disease or at high risk of cardiovascular disease who were unable or unwilling to take statins ("statin-intolerant" patients) (239). The patients were randomized to bempedoic acid 180 mg (n= 6992) or placebo (n= 6978) and the median duration of follow-up was 40.6 months. As expected, LDL-C levels were decreased by 21% in the bempedoic group compared to placebo (29mg/dL difference). The primary endpoint, death from cardiovascular causes, nonfatal myocardial infarction, nonfatal stroke, or coronary revascularization, was reduced by 13% in the bempedoic acid group (HR 0.87; 95% CI 0.79 to 0.96; P = 0.004). Bempedoic acid also decreased fatal and non-fatal myocardial infarctions and coronary revascularization but had no significant effects on fatal or nonfatal stroke, death from cardiovascular causes, and death from any cause. In the patients who were at high risk for cardiovascular disease (primary prevention), 66% had diabetes, and the primary endpoint was reduced by 30% in the bempedoic acid group (HR 0.70; 95% CI, 0.55-0.89; P = .002) (235). In patients with diabetes with or without cardiovascular disease the primary endpoint was reduced by 17% in the bempedoic acid group (HR 0.83; 95% CI 0.72-0.95) (234). This study clearly demonstrates that treatment with bempedoic acid reduces the risk cardiovascular events.     

 

Side Effects

 

HYPERURICEMIA

 

In clinical trials, 26% of bempedoic acid-treated patients with normal baseline uric acid values experienced hyperuricemia one or more times versus 9.5% in the placebo group (package insert). In the CLEAR Outcomes trial elevated uric acid levels occurred in 10.9% of the patients on bempedoic acid compared to 5.6% taking the placebo (239). The increase in uric acid is due to bempedoic acid inhibiting renal tubular OAT2. The Increase in uric acid levels typically occurred within the first 4 weeks of treatment and persisted throughout treatment. After 12 weeks of treatment, the mean placebo-adjusted increase in uric acid compared to baseline was 0.8 mg/dL for patients treated with bempedoic acid (package insert). Elevations in blood uric acid levels may lead to the development of gout. Gout was reported in 1.5% of patients treated with bempedoic acid vs. 0.4% of patients treated with placebo. The risk for gout attacks were higher in patients with a prior history of gout (11.2% for bempedoic acid treatment vs. 1.7% in the placebo group) (package insert). In patients with no prior history of gout only 1% of patients treated with bempedoic acid and 0.3% of the placebo group had a gouty attack (package insert). In the CLEAR Outcomes trial gout was increased in the bempedoic acid group (3.1% vs. 2.1%) (239).

 

TENDON RUPTURE

 

In clinical trials tendon rupture occurred in 0.5% of patients treated with bempedoic acid vs. 0% of placebo treated patients and involved the rotator cuff (the shoulder), biceps tendon, or Achilles tendon (package insert). Tendon rupture occurred within weeks to months of starting bempedoic acid and occurred more frequently in patients over 60 years of age, in those taking corticosteroid or fluoroquinolone drugs, in patients with renal failure, and in patients with previous tendon disorders. In the CLEAR Outcomes trial tendon rupture was similar in the bempedoic acid and placebo group (bempedoic acid 1.2% and placebo 0.9%) (239).

 

RENAL FUNCTION

 

Bempedoic acid treatment resulted in a mean increase in serum creatinine of 0.05 mg/dL compared to baseline. Approximately 3.8% of patients treated with bempedoic acid had BUN levels that doubled vs. 1.5% in the placebo group and about 2.2% of patients treated with bempedoic acid had creatinine values that increased by 0.5 mg/dL vs. 1.1% in the placebo group (package insert). Renal function returned to baseline when bempedoic acid was discontinued. In the CLEAR Outcomes trial renal impairment was increased in the bempedoic acid group (11.5% vs.8.6%) as was the change from baseline creatinine (0.05±0.2 mg/dL vs. 0.01±0.2 mg/dL)  (239).

 

CHOLELITHIASIS

 

In the CLEAR Outcomes trial cholelithiasis was increased in the bempedoic acid group (2.2 vs 1.2) (239).

 

BENIGN PROSTATIC HYPERPLASIA

 

Bempedoic acid was associated with an increased risk of benign prostatic hyperplasia (BPH) in men with no reported history of BPH, occurring in 1.3% of NEXLETOL-treated patients versus 0.1% of placebo-treated patients (package insert).

 

MISCELLANEOUS LABORATORY ABNORMALITIES

 

Approximately 5.1% of patients on bempedoic acid vs. 2.3% on placebo had decreases in hemoglobin levels of 2 or more g/dL and below the lower limit of normal on one or more occasion. Anemia was reported in 2.8% of patients treated with bempedoic acid and 1.9% of patients treated with placebo. Hemoglobin decrease was generally asymptomatic and did not require medical intervention (package insert).

 

Approximately 9.0% of bempedoic acid treated patients with a normal baseline leukocyte count decreased leukocyte count to less than the lower limit of normal on one or more occasions vs. 6.7% in the placebo group. The leukocyte decrease was generally asymptomatic and did not require medical intervention (package insert).

 

Approximately 10.1% of bempedoic acid treated patients vs. 4.7% in the placebo group had

increases in platelet counts of 100× 109/L or more on one or more occasion. The platelet count increase was asymptomatic, did not result in an increased risk for thromboembolic events, and did not require medical intervention (package insert).

 

Increases to more than 3× the upper limit of normal (ULN) in AST occurred in 1.4% of patients treated with bempedoic acid vs. 0.4% of placebo patients, and increases to more than 5× ULN occurred in 0.4% of bempedoic acid treated patients vs. 0.2% of placebo-treated patients. Increases in ALT were similar in bempedoic acid treated patients and placebo-treated patients. Elevations in transaminases were generally asymptomatic and not associated with elevations ≥2× ULN in bilirubin or with cholestasis. In most cases, the elevations were transient and resolved or improved with continued therapy or after discontinuation of therapy (package insert).

 

Contraindications

 

The use of bempedoic acid during pregnancy and lactation has not been studied (package insert).

 

Summary

 

In patients on statins and ezetimibe with an LDL-C that is not at goal the addition of bempedoic acid is a reasonable third drug. In addition, in patients that cannot tolerate statin therapy the combination of ezetimibe and bempedoic acid may allow for the lowering of LDL-C to goal. One can expect a reduction in LDL-C of approximately 15-25% with bempedoic acid monotherapy therapy or when used in combination with other LDL-C lowering drugs.

 

LOMITAPID (JUXTAPID)

 

Introduction

 

Lomitapide (Juxtapid), a selective microsomal triglyceride transfer protein inhibitor, was approved in December 2012 for lowering LDL-C levels in adults with Homozygous Familial Hypercholesterolemia (240-242). As will be discussed below it lowers LDL-C levels by an LDL receptor independent mechanism.

 

Effect on Lomitapide on Lipid and Lipoprotein Levels

 

The effect of lomitapide on lipid and lipoprotein levels has been studied in patients with Homozygous Familial Hypercholesterolemia. The pivotal study was a 78-week single arm open label study in 29 patients receiving treatment for Homozygous Familial Hypercholesterolemia (243). Lomitapide was initiated at 5mg per day and was up-titrated to 60mg per day based on tolerability and liver function tests. On an intention to treat basis, LDL-C was decreased by 40% and apolipoprotein B by 39%. In patients who were actually taking lomitapide, LDL-C levels were reduced by 50%. In addition to decreasing LDL-C levels, non-HDL-C levels were decreased by 50%, Lp(a) by 15%, and triglycerides by 45%. Interestingly HDL and apolipoprotein A-I levels were decreased by 12% and 14% respectively in this study. Follow-up revealed that the decrease in LDL-C could be sustained for a prolonged period of time (294 weeks) (244).

 

The effect of lomitapide has also been studied in patients without Homozygous Familial Hypercholesterolemia. A study by Samaha and colleagues compared the effect of ezetimibe and lomitapide in patients with elevated cholesterol levels(245). Patients were treated with ezetimibe alone, lomitapide alone, or the combination of ezetimibe and lomitapide. Ezetimibe monotherapy led to a 20–22% decrease in LDL-C levels, lomitapide monotherapy led to a dose dependent decrease in LDL-cholesterol levels (19% at 5.0 mg, 26% at 7.5 mg and 30% at 10 mg). Combined therapy produced a larger dose-dependent decrease in LDL-C levels (35%, 38% and 46%, respectively).  Additionally, lomitapide decreased triglycerides by 10%, non-HDL-C by 27%, apolipoprotein B by 24%, and Lp(a) by 17%.

 

The above studies demonstrate that lomitapide decreases LDL-C, non-HDL-C, triglycerides, and Lp(a) levels.

 

Mechanism Accounting for the Lomitapide Induced Lipid Effects

 

Lomitapide is a selective inhibitor of microsomal triglyceride transfer protein (MTTP) (240-242). MTTP is located in the endoplasmic reticulum of hepatocytes and enterocytes where it plays a key role in transferring triglycerides onto newly synthesized apolipoprotein B leading to the formation of VLDL and chylomicrons (246). Loss of function mutations in both alleles of MTTP results in abetalipoproteinemia, which is characterized by the virtual absence of apolipoprotein B, VLDL, chylomicrons, and LDL in the plasma due to the failure of the liver and intestine to produce VLDL and chylomicrons (215). Lomitapide by inhibiting MTTP activity reduces the secretion of chylomicrons by the intestine and VLDL by the liver leading to a decrease in LDL, apolipoprotein B, triglycerides, non-HDL-C, and Lp(a) (240-242). 

 

Pharmacokinetics and Drug Interactions

 

Lomitapide is extensively metabolized in the liver by the CYP3A4 pathway (240,241). Therefore, lomitapide is contraindicated in patients on strong CYP3A4 inhibitors and lower doses should be used in patients on weak inhibitors. Of particular note, in patients on atorvastatin the maximal dose of lomitapide is 30mg per day and lomitapide should not be used in patients taking more than 20mg of simvastatin (240,241). Lomitapide can increase warfarin levels and therefore close monitoring is required. Finally, given the risk of liver abnormalities (see side effect section) the avoidance of alcohol or a reduction in alcohol intake is prudent.

 

Effect of Lomitapide on Clinical Outcomes

 

There are no clinical outcome trials but it is presumed that lowering LDL-C levels in patients with Homozygous Familial Hypercholesterolemia will reduce cardiovascular events. After initiating lomitapide therapy 1.7 cardiovascular events per 1000 patient months on treatment was observed vs. 26.1 cardiovascular events per 1000 patient months in a comparison cohort (247).

 

Side Effects

 

As expected from its mechanism of action lomitapide causes side effects in the GI tract and liver. In the GI tract diarrhea, nausea, vomiting, and dyspepsia occur very commonly (240-242). In the pivotal study in patients with Homozygous Familial Hypercholesterolemia, 90% of the patients developed GI symptoms during drug titration (243). GI side effects are potentiated by high fat meals and it is therefore recommended that dietary fat be limited. Approximately 10% of patients will discontinue lomitapide, mostly from diarrhea. Lomitapide also reduces the absorption of fat soluble vitamins and therefore patients need to take vitamin supplements (240,241). Additionally, it may also block the absorption of essential fatty acids and it is therefore recommended that supplements of essential fatty acids also be provided (at least 200 mg linoleic acid, 210 mg alpha-linolenic acid (ALA), 110 mg eicosapentaenoic acid (EPA), and 80 mg docosahexaenoic acid (DHA) (240,241).

 

Blocking the formation of VLDL in the liver can lead to fatty liver with elevated liver enzymes (240-242). Approximately 30% of patients will develop increased transaminase levels but in the small number of patients studied this has not resulted in liver failure. After stopping the drug, the transaminases have returned to normal. Whether long term treatment with lomitapide will lead to an increase in liver disease is unknown. There is a single case of a patient with lipoprotein lipase deficiency who was treated for 13 years with lomitapide who developed steatohepatitis and fibrosis (248). In an observational study of a small number of patients on lomitapide for > 5 years liver failure or cirrhosis was not noted (249). In another study in Italy, 34 patients were treated with lomitapide for more than 9 years and elevations in hepatic fat were mild-to-moderate, hepatic stiffness remained normal, and the mean FIB-4 score remained below the fibrosis threshold (250). The studies suggest that in most patients’ severe liver disease will not develop. To reduce the risk of liver dysfunction it is important that patients avoid or limit alcohol intake and avoid drugs that inhibit Cyp3A4 activity.

 

Because of the high potential risk of serious complications the FDA has mandated several measures to ensure that patients are closely followed and monitored for liver toxicity ((Risk Evaluation and Mitigation Strategy (REMS) Program) (240,241). ALT, AST, alkaline phosphatase, and total bilirubin should be measured before initiating treatment. During the first year, liver function tests should be measured prior to each increase in dose or monthly, whichever occurs first. After the first year, liver function tests should be measured at least every 3 months and before any increase in dose.

 

Contraindications

 

Lomitapide should not be used during pregnancy and in patients with moderate or severe liver disease. In addition, it should not be used in patients on strong CYP3A4 inhibitors.

 

Summary

 

Lomitapide is approved only for the treatment of lipid disorders in patients with Homozygous Familiar Hypercholesterolemia. The frequent GI side effects and the potential risk of serious liver disease greatly limit the use of this drug and it should be reserved for the patients in which more benign therapies are not sufficient in lowering LDL-C into a reasonable range. It is used as an adjunct to other lipid lowering therapies and lipoprotein apheresis in patients with Homozygous Familiar Hypercholesterolemia.

 

MIPOMERSEN (KYNAMRO)

 

Introduction

 

Mipomersen (Kynamro) is a second generation apolipoprotein B antisense oligonucleotide that was approved in January 2013 for the treatment of patients with Homozygous Familiar Hypercholesterolemia (241,242,251). It is administered as a 200mg subcutaneous injection once a week (241,242,251). As will be discussed below, it lowers LDL-C levels by an LDL receptor independent mechanism. In May 2018 sales were discontinued due to safety concerns related to increased liver transaminases and fatty liver.

 

Effect on Mipomersen on Lipid and Lipoprotein Levels

 

In the pivotal trial, 51 patients with Homozygote Familial Hypercholesterolemia on treatment were randomized to additional treatment with mipomersen (n= 34) or placebo (n=17) and followed for 26 weeks (252). Mipomersen lowered LDL-C levels by 21% and apolipoprotein B levels by 24% compared to placebo. In addition, non-HDL-C was decreased by 21.6%, triglycerides by 17%, and Lp(a) by 23% while HDL and apolipoprotein A-I were increased by 11.2% and 3.9% respectively.

 

Mipomersen has also been studied in patients with Heterozygous Familial Hypercholesterolemia. In a double-blind, placebo-controlled, randomized trial, patients on maximally tolerated statin therapy were treated weekly with subcutaneous mipomersen 200 mg or placebo for 26 weeks (253). LDL-C levels decreased by 33% in the mipomersen group compared to placebo. Additionally, mipomersen significantly reduced apolipoprotein B by 26%, triglycerides by 14%, and Lp(a) by 21% compared to placebo with no significant changes in HDL-C levels. In an extension follow-up study the beneficial effects of mipomersen were maintained for at least 2 years (254). 

 

In a meta-analysis of 8 randomized studies with 462 subjects with either non-specified hypercholesterolemia or Heterozygous Familial Hypercholesterolemia, Panta and colleagues reported that mipomersen decreased LDL-C levels by 32% compared to placebo (255). Additionally, non-HDL-C was decreased by 31%, apolipoprotein B by 33%, triglycerides by 36%, and Lp(a) by 26% with no effect on HDL-C levels.

 

Mechanism Accounting for the Mipomersen Induced Lipid Effects

 

Apolipoprotein B 100 is the main structural protein of VLDL and LDL and is required for the formation of VLDL and LDL (191). Familiar Hypobetalipoproteinemia is a genetic disorder due to a mutation of one apolipoprotein B allele that is characterized by very low concentrations of LDL and apolipoprotein B due to the decreased production of lipoproteins by the liver (215). Mipomersen, an apolipoprotein B antisense oligonucleotide, mimics Familiar Hypobetalipoproteinemia by inhibiting apolipoprotein B 100 production in the liver by pairing with apolipoprotein B mRNA preventing its translation (241,242,251). This decrease in apolipoprotein B synthesis results in a decrease in hepatic VLDL production leading to a decrease in LDL levels.

 

Pharmacokinetics and Drug Interactions

 

No significant drug interactions have been reported. Given the risk of liver abnormalities (see side effect section) the avoidance of alcohol or a reduction in alcohol intake would be prudent.

 

Effect of Mipomersen on Clinical Outcomes

 

There are no clinical outcome trials but it is presumed that lowering LDL-C levels in patients with Homozygous Familial Hypercholesterolemia will reduce cardiovascular events. In a study comparing cardiovascular events in patients with Homozygous Familial Hypercholesterolemia in the 24 months prior to initiating mipomersen therapy and after initiating mipomersen revealed a decrease in events (prior to treatment 61.5% of patients had an event vs. 9.6% after initiating mipomersen; P < .0001) (256). In this trial mipomersen resulted in a mean absolute reduction in LDL-C of 70 mg/dL (-28%), non-HDL cholesterol of 74 mg/dL (-26%), and Lp(a) of 11 mg/dL (-17%).

 

Side Effects

 

The most common side effect is injection site reactions, which occur in 75-98% of patients and typically consist of one or more of the following: erythema, pain, tenderness, pruritus, and local swelling (241,242,251).  Additional, influenza like symptoms, which typically occur within 2 days after an injection, occur in 30-50% of patients and include one or more of the following: influenza-like illness, pyrexia, chills, myalgia, arthralgia, malaise or fatigue which result in a substantial percentage of patients discontinuing therapy (241,242,251).

 

A major safety concern is liver toxicity (241,242,251). By inhibiting VLDL formation and secretion the risk of fatty liver is increased. Fatty liver has been observed in 5-20% of patients treated with mipomersen (241,242,251). In 10-15% of patients treated with mipomersen increases in transaminases occur (241,242,251). Additionally, liver biopsies from 7 patients after a minimum of 6 months of mipomersen therapy have demonstrated the presence of fatty liver although there was no inflammation despite elevations in liver enzymes (257). Liver function should be measured prior to initiating therapy and monthly during the first year and every 3 months after the first year. Fortunately, when treatment is discontinued liver function tests and fatty liver return to normal.

 

Because of the potential for liver toxicity this drug is no longer available.

 

Contraindications

 

Mipomersen is contraindicated in patients in patients with liver disease or severe renal disease. Mipomersen is not recommended for use during pregnancy or lactation. In animal studies mipomersen has not resulted in fetal abnormalities.

 

Summary

 

Mipomersen was approved only for the treatment of lipid disorders in patients with Homozygous Familiar Hypercholesterolemia. The potential risk of serious liver disease greatly limits the use of this drug and therefore it was reserved for patients in which more benign therapies were not sufficient in lowering LDL-C into a reasonable range. It was used as an adjunct to other lipid lowering therapies in patients with Homozygous Familiar Hypercholesterolemia but because of safety concerns is no longer available.

 

EVINACUMAB (EVKEEZA)

 

Introduction

 

Evinacumab is a human monoclonal antibody against angiopoietin-like protein 3 (ANGPTL3). It is approved for the treatment of Homozygous Familial Hypercholesterolemia. Evinacumab decreases LDL-C levels by mechanisms independent of LDL receptor activity. The recommended dose of evinacumab is 15 mg/kg administered by intravenous infusion over 60 minutes every 4 weeks.

 

Effect on Evinacumab on Lipid and Lipoprotein Levels

 

HOMOZYGOUS FAMILIAL HYPERCHOLESTEROLEMIA

 

A double-blind, placebo-controlled trial randomly treated patients with Homozygous Familial Hypercholesterolemia with an intravenous infusion of evinacumab 15 mg/Kg every 4 weeks (n= 43) or placebo (n= 22) (258). The individuals in this trial were on lipid lowering therapy (94% were on a statin with 77% on a high-intensity statin, 77% on a PCSK9 inhibitor, 75% on ezetimibe, 25% on lomitapide, and 34% undergoing apheresis) and the mean baseline LDL-C level was approximately 250-260mg/dL. After 24 weeks of treatment patients in the evinacumab group had a 47% reduction in LDL-C levels vs. a 1.9% increase in the placebo group (table 17). This decrease in LDL-C levels was observed after 2 weeks of therapy and was observed regardless of concomitant use of other lipid lowering drugs or apheresis. Notably, in individuals with null-null LDL receptor variants evinacumab resulted in a 43% decrease in LDL-C levels indicating that evinacumab therapy was effective in the absence of functional LDL receptors. As expected, total cholesterol, non-HDL-C cholesterol, and apo B levels were also decreased. Moreover, triglyceride levels decreased 55% and HDL-C levels decreased 30% with evinacumab administration while Lp(a) levels were unchanged.

 

Table 17. Effect of Evinacumab on Lipid Levels in Homozygous Familial Hypercholesterolemia

 

LDL-C

Apo B

Non-HDL-C

TG

HDL-C

Baseline mg/dL

255

171

278

124

44

Evinacumab % Change

−47%

−41%

−50%

−55%

−30%

Placebo  % Change

+2%

−5%

+2%

−5%

+1%

 

REFRACTORY HYPERCHOLESTEROLEMIA

 

In a double-blind, placebo-controlled trial, patients with refractory hypercholesterolemia with a screening LDL-C level > 70 mg/dL with atherosclerosis or LDL-C > 100 mg/dL without atherosclerosis were randomized to receive subcutaneous or intravenous evinacumab or placebo (259). The hypercholesterolemia was refractory to treatment with a PCSK9 inhibitor and a statin at a maximum tolerated dose, with or without ezetimibe. In this trial a number of different treatment regimens of evinacumab were employed (intravenous or subcutaneous; different doses) and in this summary only the results of intravenous evinacumab 15 mg/kg every 4 weeks (39 patients) vs. placebo (34 patients) will be presented. Baseline LDL-C levels were approximately 145mg/dL. After 16 weeks of treatment the LDL-C level was decreased by 50% with evinacumab administration vs. a 0.6% decrease with placebo. An extension of this trial for 72 weeks found that the reduction in LDL-C were sustained (260). The decrease in LDL-C was observed after 2 weeks of treatment. As expected, total cholesterol, non-HDL-C, and apo B levels also decreased in the evinacumab group. Evinacumab administration decreased triglyceride levels by 53% and HDL-C levels by 31%. In contrast to the results in the homozygous familiar hypercholesterolemia study described above in this study evinacumab decreased Lp(a) levels by 16%. The effect of the subcutaneous administration of evinacumab on lipid levels was similar to that observed with intravenous administration.

 

The effect of evinacumab on triglyceride levels in patients with marked hypertriglyceridemia is described in the Endotext chapter “Triglyceride Lowering Drugs” (261).

 

Mechanism Accounting for the Evinacumab Induced Lipid Effects

 

ANGPTL3 inhibits lipoprotein lipase (LPL) activity thereby slowing the clearance of VLDL and chylomicrons resulting in an increase in plasma triglyceride levels (262,263). Mice deficient in ANGPTL3 have lower plasma triglyceride levels while mice overexpressing ANGPTL3 have elevated plasma triglyceride levels (263). Evinacumab by inhibiting the ability of ANGPTL3 to inhibit LPL activity will accelerate the clearance of TG rich lipoproteins decreasing plasma triglyceride levels (263). Furthermore, ANGPTL3 has also been shown to reduce endothelial lipase activity (263). Endothelial lipase is a phospholipase that catabolizes phospholipids on HDL and accelerates HDL clearance (264,265). Evinacumab by inhibiting the ability of ANGPTL3 to inhibit endothelial lipase activity will lead to a decrease in HDL levels (266).

 

The mechanism(s) that explain the decrease in LDL-C levels with evinacumab administration is not completely understood. A study has demonstrated that the increase in endothelial lipase activity induced by evinacumab leads to VLDL remodeling and lipid depletion that increases VLDL clearance when the LDL receptor is absent (267). This decrease in VLDL, the precursor of LDL, limits LDL particle production resulting in a reduction in plasma LDL-C levels (267). Kinetic studies in four patients with homozygous familial hypercholesterolemia observed that evinacumab markedly increased the fractional catabolic rate of IDL (intermediate-density lipoprotein) and LDL apoB (268). Whether decreases in VLDL production also plays a role in the decrease in LDL-C levels with evinacumab treatment requires additional studies. It should be noted that inhibition of ANGPTL3 decreases LDL-C levels independent of LDL receptor activity (269).

 

Pharmacokinetics and Drug Interactions

 

There are no significant drug interactions.

 

Effect of Evinacumab on Clinical Outcomes

 

There are no cardiovascular outcome studies. In two patients with homozygous Familial Hypercholesterolemia evinacumab therapy markedly reduced LDL-C levels with a concomitant decrease in plaque volume determined by coronary computed tomography angiography (268).  

 

Homozygosity for loss-of-function mutations in ANGPTL3 is associated with significantly lower plasma levels of LDL-C, HDL-C, and triglycerides (familial combined hypolipidemia) (215,263,270). Heterozygous carriers of loss-of-function mutations in ANGPTL3, which occur at a frequency of about 1:300, have significantly lower total cholesterol, LDL-C, and triglyceride levels than noncarriers (263). Moreover, patients carrying loss-of-function variants in ANGPTL3 have a significantly lower risk of coronary artery disease (271,272). Additionally, in an animal model of atherosclerosis treatment with evinacumab decreased atherosclerotic lesion area and necrotic content (271). Taken together these observations suggest that inhibiting ANGPTL3 with evinacumab will reduce cardiovascular disease.

 

Side Effects

 

Serious hypersensitivity reactions have occurred with evinacumab. In clinical trials, 1 (1%) of evinacumab treated patients experienced anaphylaxis vs. 0% of patients who received placebo (package insert).

 

Contraindications

 

Based on animal studies, evinacumab may cause fetal harm when administered to pregnant patients (package insert). Patients should be advised of the potential risks to the fetus of pregnancy. Patients who may become pregnant should be advised to use effective contraception during treatment with evinacumab and for at least 5 months following the last dose.

 

Summary

 

In patients with Homozygous Familiar Hypercholesterolemia the ability of evinacumab to lower LDL-C levels independent of LDL receptor activity makes this agent very useful in these patients. Most patients with Homozygous Familial Hypercholesterolemia do not achieve goal LDL-C levels with triple drug therapy with maximally tolerated statin therapy, ezetimibe, and a PCSK9 inhibitor and therefore the addition of evinacumab will be needed in many of these patients. Evinacumab is also effective in patients with refractory hypercholesterolemia but the drug is not yet FDA approved in this situation. Nevertheless, one can foresee in patients with refractory hypercholesterolemia at high risk for cardiovascular events the use of evinacumab. In addition to lowering LDL-C levels evinacumab also lowers triglyceride levels and could be useful in selected patients with very severe hypertriglyceridemia (261,273).  

 

APPROACH TO TREATING PATIENTS WITH HYPERCHOLESTEROLEMIA

 

Introduction

 

The issues of deciding who to treat, how aggressive to treat, and the goals of therapy are discussed in detail in the chapter “Guidelines for the Management of High Blood Cholesterol” and therefore will not be addressed in this chapter (3). Additionally, the role of life style changes to lower LDL-C is discussed in great depth in chapter “The Effect of Diet on Cardiovascular Disease and Lipid and Lipoprotein Levels” and therefore will also not be addressed here (1). Rather we will focus on how to use the drugs discussed in this chapter to treat various categories of patients. The factors to consider when deciding which drugs are appropriate to use for lowering plasma LDL-C levels are; the efficacy in lowering LDL-C levels, the effect on other lipid and lipoprotein levels, the ability to reduce cardiovascular events, the side effects of drug therapy, the ease of complying with the drug regimen, and the cost of the drugs. Many statins and ezetimibe are generic drugs and therefore they are relatively inexpensive.

 

Isolated Hypercholesterolemia with Cardiovascular Disease

 

In patients with isolated hypercholesterolemia and cardiovascular disease, initial drug therapy should be high intensity statin therapy (atorvastatin 40-80mg or rosuvastatin 20-40mg). In patients with cardiovascular disease, one should aim to lower the LDL-C to below 70mg/dL. Many experts, based on studies comparing statin alone vs. statin + ezetimibe or statin + a PCSK9 inhibitor, would recommend a more aggressive LDL-C goal in high-risk patients (LDL-C <55mg/dL). If statin therapy alone is not sufficient adding ezetimibe, is a reasonable next step. Because a considerable amount of data indicates that the lower the LDL-C the greater the reduction in cardiovascular events many experts would use a combination of high intensity statin therapy plus ezetimibe in all high-risk patients to maximize LDL-C reduction. Ezetimibe is inexpensive, easy to take, has few side effects, will modestly lower LDL-C, and has been shown in combination with statins to further reduce cardiovascular events. High dose statin and ezetimibe will lower LDL-C by as much as 70%, which will lower LDL-C to goal in a large number of patients who do not have a genetic basis for their elevated LDL-C levels. If the combination of statin plus ezetimibe does not lower the LDL to goal one can add a third drug. If the LDL is close to goal, one could add a bile acid sequestrant such as colesevelam or bempedoic acid. If the LDL is not very close to goal one could instead use a statin +/- ezetimibe plus a PCSK9 inhibitor, which will result in marked reductions in LDL-C levels. If the patient has diabetes with a moderately elevated A1c level using a bile acid sequestrant such as colesevelam instead of ezetimibe or in combination with ezetimibe could improve both glycemic control and further lower LDL levels. If the cost of PCSK9 inhibitors decrease the earlier use of these drugs will become feasible.

 

Isolated Hypercholesterolemia in Primary Prevention

 

In patients with isolated hypercholesterolemia (LDL-C < 190mg/dL) without cardiovascular disease initial drug therapy is with a statin. The statin dose should be chosen based on the percent reduction in LDL-C required to lower the LDL-C level to below the target goal (typically < 100mg/dL but if multiple risk factors with a high risk for cardiovascular events is present many experts would aim for <70mg/dL). As discussed earlier, the side effects of statin therapy increase with higher doses so one should not automatically start with high doses, but instead should choose a dose balancing the benefits and risks. Generic statins are inexpensive drugs and are very effective in both lowering LDL-C levels and reducing cardiovascular events. Additionally, they have an excellent safety profile. If the initial statin dose does not lower LCL-C sufficiently, one can then increase the dose or add ezetimibe. If the maximal statin dose does not lower LDL-C sufficiently adding ezetimibe is a reasonable next step if the LDL-C level is in a reasonable range and an additional 20-25% reduction in LDL will be sufficient. High dose statin and ezetimibe will lower LDL-C by as much as 70%, which will lower LDL-C to goal in the majority of patients who do not have a genetic basis for their elevated LDL-C levels. If the combination of statin plus ezetimibe does not lower the LDL-C to goal one can add a third drug, such as bempedoic acid or colesevelam. If the patient has diabetes with a moderately elevated A1c level using colesevelam instead of ezetimibe or in combination with ezetimibe could improve both glycemic control and further lower LDL-C levels.

 

Mixed Hyperlipidemia

 

In patients with mixed hyperlipidemia (elevated LDL-C and triglyceride levels) Initial drug therapy should also be a generic statin unless triglyceride levels are greater than 500-1000mg/dL. If triglycerides are > 500-1000mg/dL initial therapy is directed at lowering triglyceride levels (261). In addition to lowering LDL-C levels, statins are also effective in lowering triglyceride levels particularly when the triglycerides are elevated. If LDL-C is not lowered sufficiently ezetimibe is a reasonable next step. Bile acid sequestrants are not appropriate drugs in patients with hypertriglyceridemia. The approach to the patient whose LDL-C levels are at goal but the triglycerides and non-HDL-C are still elevated is discussed in the chapter on triglyceride lowering drugs (261).

 

Heterozygous Familial Hypercholesterolemia

 

In patients with Heterozygous Familial Hypercholesterolemia or other disorders with very elevated LDL-C levels (>190mg/dL), high doses of a potent statin such as atorvastatin 40-80mg or rosuvastatin 20-40mg are the first step to lower LDL-C levels. In many patients this will not be sufficient. If the LDL-C levels are above goal then adding ezetimibe is a reasonable next step. If after ezetimibe the LDL-C is still slightly above goal triple drug therapy with bempedoic acid or a bile acid sequestrant can be employed. If on statin alone or with the combination of statin and ezetimibe the LDL-C still needs to be markedly reduced a PCSK9 inhibitor may be a better choice as these drugs can markedly lower LDL-C levels.

 

Homozygous Familiar Hypercholesterolemia

 

In patients with Homozygous Familiar Hypercholesterolemia initial therapy with a maximally tolerated statin and ezetimibe can be instituted. This will likely not result in an acceptable LDL-C level and then one can add a PCSK9 inhibitor. Because these therapies depend on LDL receptor activity to lower LDL-C a high percentage of patients will not reach goal and then one can add lomitapide and/or evinacumab, drugs that lower LDL-C levels independent of LDL receptor activity. Because side effects are fewer with evinacumab this is the preferred initial drug in most patients. Studies have shown that with the addition of evinacumab many patients will reach acceptable LDL-C levels. If LDL-C levels are still not acceptable one could then initiate lipoprotein apheresis (274).  

 

Statin Intolerance

 

Statin intolerance is frequently due to myalgias but on occasion can be due other issues, such as increased liver or muscle enzymes, cognitive dysfunction, or other neurological disorders. The percentage of patients who are “statin intolerant” varies greatly but in clinical practice a significant number of patients have difficulty taking statins.

 

As discussed earlier it can be difficult to determine if the muscle symptoms that occur when a patient is taking a statin are actually due to the statin or are unrelated to statin use. The first step in a “statin intolerant patient” is to take a careful history of the nature and location of the muscle symptoms and the timing of onset in relation to statin use to determine whether the presentation fits the typical picture for statin induced myalgias. The characteristic findings with a statin induced myalgia are shown in table 18 and findings that are not typical for statin induced myalgia are shown in table 19. The disappearance of symptoms within a few weeks of stopping statins and the reappearance after restarting statins is very suggestive of the symptoms being due to true statin intolerance. An on-line tool (htpp://tools.acc.org/statinintolerance/#!/) and an app produced by the ACC/AHA are available. This tool characterizes patients based on 8 criteria into possible vs. unlikely to have statin induced muscle symptoms (table 20)

 

Table 18. Characteristic Findings with Statin Induced Myalgia

Symmetric

Proximal muscles

Muscle pain, tenderness, weakness, cramps

Symptom onset < 4 weeks after starting statin or dose increase

Improves within 2-4 weeks of stopping statin

Cramping is unilateral and involves small muscles of hands and feet

Same symptoms occur with re-challenge within 4 weeks

 

Table 19. Symptoms Atypical in Statin Induced Myalgia

Unilateral

Asymmetric

Small muscles

Joint or tendon pain

Shooting pain, muscle twitching or tingling

Symptom onset > 12 weeks

No improvement after discontinuing statin

 

Table 20. Diagnosis of Statin Associated Muscle Symptoms

Symptom timing

Symptom type

Symptom location

Sex

Age

Race/ethnicity

CK elevation > 5 times the upper limit of normal

Known risk factors for statin induced muscle symptoms and non-statin causes of muscle symptoms

 

One should also check a CK level but this is almost always in the normal range. If the CK is not elevated and the symptoms do not suggest a statin induced myalgia one can often reassure the patient and continue statin therapy. This is often successful and studies have shown that many patients that stop taking statins due to “statin induced myalgia” can be successfully treated with a statin. If the CK is elevated it should be repeated after instructing the patient to avoid exercise for 48 hours. Also, the CK levels should be compared to CK levels prior to starting therapy. If the CK remains elevated (3x upper limit of normal) the statin should be discontinued. Similarly, if the CK is normal but the symptoms are suggestive of a statin induced myalgia the statin should also be discontinued. The next step is to determine if one can identify reversible factors that could be increasing statin toxicity (hypothyroidism, drug interactions).  If none are identified the next step after the myalgias have resolved is to try a low dose of a different statin that is metabolized by a different pathway (for example instead of atorvastatin, which is metabolized by the CYP3A4 pathway, rosuvastatin, which has a different pathway of metabolism). Because statin side effects are dose related, a low dose of a statin may often be tolerated. One can also try several different statins as sometimes a patient may tolerate one statin and not others. A meta-analysis has shown that every other day administration of statins is as effective as daily administration in lowering lipid levels and therefore is a very reasonable strategy (275). In some instances, using a long-acting statin (rosuvastatin or atorvastatin) 1-3 times per week can work (we usually start with once per week and then slowly increase frequency as tolerated) (276). In these circumstances (low doses or 1-3 times per week) the reduction in LDL-C may not be sufficient but one can use combination therapy with other drugs such as ezetimibe, bempedoic acid, bile acid sequestrants, or PCSK9 inhibitors to achieve LDL target goals.

 

Many providers have combined Coenzyme Q10 with statins to prevent statin induced myalgias. However, randomized trials with Coenzyme Q10 supplementation have not consistently shown benefit (277-282). A trial, which carefully screened patients to make sure they actually had statin induced myalgias, failed to show a benefit from Coenzyme Q10 supplementation (101). It has also been recommended that vitamin D supplementation be used to prevent statin induced myalgias but a large randomized trial failed to show a reduction in muscle symptoms with vitamin D therapy (283).

 

If after trying various approaches a patient still has myalgias and is unable to tolerate statin therapy one needs to utilize other approaches to lower LDL levels. Similarly, if there are other reasons why a patient cannot take a statin, such as developing muscle pathology, one will also need to utilize other approaches to lower LDL levels. These patients can be treated with ezetimibe, bempedoic acid, bile acid sequestrants, or PCSK 9 inhibitors either as monotherapy or in combination to achieve LDL goals.

 

There are patients who will refuse statins and other drug therapy because they do not believe in taking pharmaceuticals but will take natural products. In these patients we have employed red yeast rice, which decreases LDL-C because it contains a form of lovastatin (284,285). It is effective but one should recognize that the quality control is not similar to the standards of pharmaceutical products and that there can be batch to batch variations. Furthermore, there is a risk of drug-drug interactions if used with inhibitors of CYP3A4. However, in this particular patient population, who refuses to take statins or other drugs, this can be a reasonable alternative. If a patient just refuses statins (usually based on a belief that statins are toxic) we will employ other cholesterol lowering drugs.

 

CONCLUSIONS

 

With currently available drugs to lower LDL-C levels we are now able to markedly reduce LDL-C levels and achieve our LDL-C goals in the vast majority of patients and thereby reduce the risk of cardiovascular disease. Patients with Homozygous Familial Hypercholesterolemia and some patients with Heterozygous Familial Hypercholesterolemia still present major clinical challenges and it can be very difficult in these patients to achieve LDL-C goals.

 

ACKNOWLEDGEMENTS

 

This work was supported by grants from the Northern California Institute for Research and Education.

 

REFERENCES

 

  1. Feingold KR. The Effect of Diet on Cardiovascular Disease and Lipid and Lipoprotein Levels. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2021.
  2. Feingold KR. Approach to the Patient with Dyslipidemia. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2023.
  3. Grundy SM, Feingold KR. Guidelines for the Management of High Blood Cholesterol. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2022.
  4. Endo A. A gift from nature: the birth of the statins. Nat Med 2008; 14:1050-1052
  5. Alberts AW. Discovery, biochemistry and biology of lovastatin. Am J Cardiol 1988; 62:10J-15J
  6. Ballantyne CM, Andrews TC, Hsia JA, Kramer JH, Shear C, Efficacy ASGACC, Safety S. Correlation of non-high-density lipoprotein cholesterol with apolipoprotein B: effect of 5 hydroxymethylglutaryl coenzyme A reductase inhibitors on non-high-density lipoprotein cholesterol levels. Am J Cardiol 2001; 88:265-269
  7. Jones PH, Hunninghake DB, Ferdinand KC, Stein EA, Gold A, Caplan RJ, Blasetto JW. Effects of rosuvastatin versus atorvastatin, simvastatin, and pravastatin on non-high-density lipoprotein cholesterol, apolipoproteins, and lipid ratios in patients with hypercholesterolemia: additional results from the STELLAR trial. Clin Ther 2004; 26:1388-1399
  8. Jones PH, Davidson MH, Stein EA, Bays HE, McKenney JM, Miller E, Cain VA, Blasetto JW. Comparison of the efficacy and safety of rosuvastatin versus atorvastatin, simvastatin, and pravastatin across doses (STELLAR* Trial). Am J Cardiol 2003; 92:152-160
  9. Stein EA, Lane M, Laskarzewski P. Comparison of statins in hypertriglyceridemia. Am J Cardiol 1998; 81:66B-69B
  10. Bos S, Yayha R, van Lennep JE. Latest developments in the treatment of lipoprotein (a). Curr Opin Lipidol 2014; 25:452-460
  11. van Capelleveen JC, van der Valk FM, Stroes ES. Current therapies for lowering lipoprotein (a). J Lipid Res 2016; 57:1612-1618
  12. Adams SP, Tsang M, Wright JM. Lipid-lowering efficacy of atorvastatin. Cochrane Database Syst Rev 2015; 3:CD008226
  13. Adams SP, Sekhon SS, Wright JM. Lipid-lowering efficacy of rosuvastatin. Cochrane Database Syst Rev 2014; 11:CD010254
  14. Liao JK. Clinical implications for statin pleiotropy. Curr Opin Lipidol 2005; 16:624-629
  15. Joshi PH, Jacobson TA. Therapeutic options to further lower C-reactive protein for patients on statin treatment. Curr Atheroscler Rep 2010; 12:34-42
  16. Goldstein JL, Brown MS. A century of cholesterol and coronaries: from plaques to genes to statins. Cell 2015; 161:161-172
  17. Huff MW, Burnett JR. 3-Hydroxy-3-methylglutaryl coenzyme A reductase inhibitors and hepatic apolipoprotein B secretion. Curr Opin Lipidol 1997; 8:138-145
  18. Tsimikas S, Gordts P, Nora C, Yeang C, Witztum JL. Statin therapy increases lipoprotein(a) levels. Eur Heart J 2020; 41:2275-2284
  19. Causevic-Ramosevac A, Semiz S. Drug interactions with statins. Acta Pharm 2013; 63:277-293
  20. Hu M, Tomlinson B. Evaluation of the pharmacokinetics and drug interactions of the two recently developed statins, rosuvastatin and pitavastatin. Expert Opin Drug Metab Toxicol 2014; 10:51-65
  21. Sirtori CR. The pharmacology of statins. Pharmacol Res 2014; 88:3-11
  22. Bellosta S, Corsini A. Statin drug interactions and related adverse reactions: an update. Expert Opin Drug Saf 2018; 17:25-37
  23. Awad K, Serban MC, Penson P, Mikhailidis DP, Toth PP, Jones SR, Rizzo M, Howard G, Lip GYH, Banach M. Effects of morning vs evening statin administration on lipid profile: A systematic review and meta-analysis. J Clin Lipidol 2017; 11:972-985 e979
  24. Kellick KA, Bottorff M, Toth PP, The National Lipid Association's Safety Task Force. A clinician's guide to statin drug-drug interactions. J Clin Lipidol 2014; 8:S30-46
  25. Lee JW, Morris JK, Wald NJ. Grapefruit Juice and Statins. Am J Med 2016; 129:26-29
  26. Holdaas H, Fellstrom B, Jardine AG, Holme I, Nyberg G, Fauchald P, Gronhagen-Riska C, Madsen S, Neumayer HH, Cole E, Maes B, Ambuhl P, Olsson AG, Hartmann A, Solbu DO, Pedersen TR. Effect of fluvastatin on cardiac outcomes in renal transplant recipients: a multicentre, randomised, placebo-controlled trial. Lancet 2003; 361:2024-2031
  27. ACCORD Study Group, Ginsberg HN, Elam MB, Lovato LC, Crouse JR, 3rd, Leiter LA, Linz P, Friedewald WT, Buse JB, Gerstein HC, Probstfield J, Grimm RH, Ismail-Beigi F, Bigger JT, Goff DC, Jr., Cushman WC, Simons-Morton DG, Byington RP. Effects of combination lipid therapy in type 2 diabetes mellitus. N Engl J Med 2010; 362:1563-1574
  28. Busti AJ, Bain AM, Hall RG, 2nd, Bedimo RG, Leff RD, Meek C, Mehvar R. Effects of atazanavir/ritonavir or fosamprenavir/ritonavir on the pharmacokinetics of rosuvastatin. J Cardiovasc Pharmacol 2008; 51:605-610
  29. Gervasoni C, Riva A, Rizzardini G, Clementi E, Galli M, Cattaneo D. Potential association between rosuvastatin use and high atazanavir trough concentrations in ritonavir-treated HIV-infected patients. Antivir Ther 2015; 20:449-451
  30. Kiser JJ, Gerber JG, Predhomme JA, Wolfe P, Flynn DM, Hoody DW. Drug/Drug interaction between lopinavir/ritonavir and rosuvastatin in healthy volunteers. J Acquir Immune Defic Syndr 2008; 47:570-578
  31. Pham PA, la Porte CJ, Lee LS, van Heeswijk R, Sabo JP, Elgadi MM, Piliero PJ, Barditch-Crovo P, Fuchs E, Flexner C, Cameron DW. Differential effects of tipranavir plus ritonavir on atorvastatin or rosuvastatin pharmacokinetics in healthy volunteers. Antimicrob Agents Chemother 2009; 53:4385-4392
  32. van der Lee M, Sankatsing R, Schippers E, Vogel M, Fatkenheuer G, van der Ven A, Kroon F, Rockstroh J, Wyen C, Baumer A, de Groot E, Koopmans P, Stroes E, Reiss P, Burger D. Pharmacokinetics and pharmacodynamics of combined use of lopinavir/ritonavir and rosuvastatin in HIV-infected patients. Antivir Ther 2007; 12:1127-1132
  33. Sarkar S, Brown TT. Lipid Disorders in People with HIV. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2023.
  34. Baigent C, Keech A, Kearney PM, Blackwell L, Buck G, Pollicino C, Kirby A, Sourjina T, Peto R, Collins R, Simes R, Cholesterol Treatment Trialists Collaborators. Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90,056 participants in 14 randomised trials of statins. Lancet 2005; 366:1267-1278
  35. Cholesterol Treatment Trialists Collaboration, Baigent C, Blackwell L, Emberson J, Holland LE, Reith C, Bhala N, Peto R, Barnes EH, Keech A, Simes J, Collins R. Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170,000 participants in 26 randomised trials. Lancet 2010; 376:1670-1681
  36. Cholesterol Treatment Trialists Collaboration, Fulcher J, O'Connell R, Voysey M, Emberson J, Blackwell L, Mihaylova B, Simes J, Collins R, Kirby A, Colhoun H, Braunwald E, La Rosa J, Pedersen TR, Tonkin A, Davis B, Sleight P, Franzosi MG, Baigent C, Keech A. Efficacy and safety of LDL-lowering therapy among men and women: meta-analysis of individual data from 174,000 participants in 27 randomised trials. Lancet 2015; 385:1397-1405
  37. Cholesterol Treatment Trialists Collaboration, Mihaylova B, Emberson J, Blackwell L, Keech A, Simes J, Barnes EH, Voysey M, Gray A, Collins R, Baigent C. The effects of lowering LDL cholesterol with statin therapy in people at low risk of vascular disease: meta-analysis of individual data from 27 randomised trials. Lancet 2012; 380:581-590
  38. Taylor F, Huffman MD, Macedo AF, Moore TH, Burke M, Davey Smith G, Ward K, Ebrahim S. Statins for the primary prevention of cardiovascular disease. Cochrane Database Syst Rev 2013; 1:CD004816
  39. Yusuf S, Bosch J, Dagenais G, Zhu J, Xavier D, Liu L, Pais P, Lopez-Jaramillo P, Leiter LA, Dans A, Avezum A, Piegas LS, Parkhomenko A, Keltai K, Keltai M, Sliwa K, Peters RJ, Held C, Chazova I, Yusoff K, Lewis BS, Jansky P, Khunti K, Toff WD, Reid CM, Varigos J, Sanchez-Vallejo G, McKelvie R, Pogue J, Jung H, Gao P, Diaz R, Lonn E. Cholesterol Lowering in Intermediate-Risk Persons without Cardiovascular Disease. N Engl J Med 2016;
  40. Ference BA. Mendelian randomization studies: using naturally randomized genetic data to fill evidence gaps. Curr Opin Lipidol 2015; 26:566-571
  41. Brown MS, Goldstein JL. Biomedicine. Lowering LDL--not only how low, but how long? Science 2006; 311:1721-1723
  42. Feingold KR. Maximizing the benefits of cholesterol-lowering drugs. Curr Opin Lipidol 2019; 30:388-394
  43. Shepherd J, Blauw GJ, Murphy MB, Bollen EL, Buckley BM, Cobbe SM, Ford I, Gaw A, Hyland M, Jukema JW, Kamper AM, Macfarlane PW, Meinders AE, Norrie J, Packard CJ, Perry IJ, Stott DJ, Sweeney BJ, Twomey C, Westendorp RG. Pravastatin in elderly individuals at risk of vascular disease (PROSPER): a randomised controlled trial. Lancet 2002; 360:1623-1630
  44. Cholesterol Treatment Trialists Collaboration. Efficacy and safety of statin therapy in older people: a meta-analysis of individual participant data from 28 randomised controlled trials. Lancet 2019; 393:407-415
  45. Joseph J, Pajewski NM, Dolor RJ, Sellers MA, Perdue LH, Peeples SR, Henrie AM, Woolard N, Jones WS, Benziger CP, Orkaby AR, Mixon AS, VanWormer JJ, Shapiro MD, Kistler CE, Polonsky TS, Chatterjee R, Chamberlain AM, Forman DE, Knowlton KU, Gill TM, Newby LK, Hammill BG, Cicek MS, Williams NA, Decker JE, Ou J, Rubinstein J, Choudhary G, Gazmuri RJ, Schmader KE, Roumie CL, Vaughan CP, Effron MB, Cooper-DeHoff RM, Supiano MA, Shah RC, Whittle JC, Hernandez AF, Ambrosius WT, Williamson JD, Alexander KP. Pragmatic evaluation of events and benefits of lipid lowering in older adults (PREVENTABLE): Trial design and rationale. J Am Geriatr Soc 2023; 71:1701-1713
  46. Zoungas S, Curtis A, Spark S, Wolfe R, McNeil JJ, Beilin L, Chong TT, Cloud G, Hopper I, Kost A, Nelson M, Nicholls SJ, Reid CM, Ryan J, Tonkin A, Ward SA, Wierzbicki A. Statins for extension of disability-free survival and primary prevention of cardiovascular events among older people: protocol for a randomised controlled trial in primary care (STAREE trial). BMJ Open 2023; 13:e069915
  47. Liao JK. Safety and efficacy of statins in Asians. Am J Cardiol 2007; 99:410-414
  48. Gupta M, Braga MF, Teoh H, Tsigoulis M, Verma S. Statin effects on LDL and HDL cholesterol in South Asian and white populations. J Clin Pharmacol 2009; 49:831-837
  49. Sakamoto T, Kojima S, Ogawa H, Shimomura H, Kimura K, Ogata Y, Sakaino N, Kitagawa A. Effects of early statin treatment on symptomatic heart failure and ischemic events after acute myocardial infarction in Japanese. Am J Cardiol 2006; 97:1165-1171
  50. Pais P, Jung H, Dans A, Zhu J, Liu L, Kamath D, Bosch J, Lonn E, Yusuf S. Impact of blood pressure lowering, cholesterol lowering and their combination in Asians and non-Asians in those without cardiovascular disease: an analysis of the HOPE 3 study. Eur J Prev Cardiol 2019; 26:681-697
  51. Feingold KR. Dyslipidemia in Patients with Diabetes. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2023.
  52. Cholesterol Treatment Trialists Collaboration, Kearney PM, Blackwell L, Collins R, Keech A, Simes J, Peto R, Armitage J, Baigent C. Efficacy of cholesterol-lowering therapy in 18,686 people with diabetes in 14 randomised trials of statins: a meta-analysis. Lancet 2008; 371:117-125
  53. Cholesterol Treatment Trialists Collaboration , Herrington WG, Emberson J, Mihaylova B, Blackwell L, Reith C, Solbu MD, Mark PB, Fellstrom B, Jardine AG, Wanner C, Holdaas H, Fulcher J, Haynes R, Landray MJ, Keech A, Simes J, Collins R, Baigent C. Impact of renal function on the effects of LDL cholesterol lowering with statin-based regimens: a meta-analysis of individual participant data from 28 randomised trials. Lancet Diabetes Endocrinol 2016; 4:829-839
  54. Su X, Zhang L, Lv J, Wang J, Hou W, Xie X, Zhang H. Effect of Statins on Kidney Disease Outcomes: A Systematic Review and Meta-analysis. Am J Kidney Dis 2016;
  55. Wanner C, Krane V, Marz W, Olschewski M, Mann JF, Ruf G, Ritz E. Atorvastatin in patients with type 2 diabetes mellitus undergoing hemodialysis. N Engl J Med 2005; 353:238-248
  56. Fellstrom BC, Jardine AG, Schmieder RE, Holdaas H, Bannister K, Beutler J, Chae DW, Chevaile A, Cobbe SM, Gronhagen-Riska C, De Lima JJ, Lins R, Mayer G, McMahon AW, Parving HH, Remuzzi G, Samuelsson O, Sonkodi S, Sci D, Suleymanlar G, Tsakiris D, Tesar V, Todorov V, Wiecek A, Wuthrich RP, Gottlow M, Johnsson E, Zannad F. Rosuvastatin and cardiovascular events in patients undergoing hemodialysis. N Engl J Med 2009; 360:1395-1407
  57. Rosenstein K, Tannock LR. Dyslipidemia in Chronic Kidney Disease. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2022.
  58. Kjekshus J, Apetrei E, Barrios V, Bohm M, Cleland JG, Cornel JH, Dunselman P, Fonseca C, Goudev A, Grande P, Gullestad L, Hjalmarson A, Hradec J, Janosi A, Kamensky G, Komajda M, Korewicki J, Kuusi T, Mach F, Mareev V, McMurray JJ, Ranjith N, Schaufelberger M, Vanhaecke J, van Veldhuisen DJ, Waagstein F, Wedel H, Wikstrand J. Rosuvastatin in older patients with systolic heart failure. N Engl J Med 2007; 357:2248-2261
  59. Tavazzi L, Maggioni AP, Marchioli R, Barlera S, Franzosi MG, Latini R, Lucci D, Nicolosi GL, Porcu M, Tognoni G. Effect of rosuvastatin in patients with chronic heart failure (the GISSI-HF trial): a randomised, double-blind, placebo-controlled trial. Lancet 2008; 372:1231-1239
  60. Arvind A, Osganian SA, Cohen DE, Corey KE. Lipid and Lipoprotein Metabolism in Liver Disease. In: Feingold KR, Anawalt B, Boyce A, Chrousos G, Dungan K, Grossman A, Hershman JM, Kaltsas G, Koch C, Kopp P, Korbonits M, McLachlan R, Morley JE, New M, Perreault L, Purnell J, Rebar R, Singer F, Trence DL, Vinik A, Wilson DP, eds. Endotext. South Dartmouth (MA) 2019.
  61. Bays H, Cohen DE, Chalasani N, Harrison SA, The National Lipid Association's Statin Safety Task Force. An assessment by the Statin Liver Safety Task Force: 2014 update. J Clin Lipidol 2014; 8:S47-57
  62. Herrick C, Bahrainy S, Gill EA. Statins and the Liver. Endocrinol Metab Clin North Am 2016; 45:117-128
  63. Athyros VG, Tziomalos K, Gossios TD, Griva T, Anagnostis P, Kargiotis K, Pagourelias ED, Theocharidou E, Karagiannis A, Mikhailidis DP. Safety and efficacy of long-term statin treatment for cardiovascular events in patients with coronary heart disease and abnormal liver tests in the Greek Atorvastatin and Coronary Heart Disease Evaluation (GREACE) Study: a post-hoc analysis. Lancet 2010; 376:1916-1922
  64. Cohen DE, Corey KE. Lipid and Lipoprotein Metabolism in Liver Disease. In: De Groot LJ, Beck-Peccoz P, Chrousos G, Dungan K, Grossman A, Hershman JM, Koch C, McLachlan R, New M, Rebar R, Singer F, Vinik A, Weickert MO, eds. Endotext. South Dartmouth (MA) 2019.
  65. Grinspoon SK, Fitch KV, Zanni MV, Fichtenbaum CJ, Umbleja T, Aberg JA, Overton ET, Malvestutto CD, Bloomfield GS, Currier JS, Martinez E, Roa JC, Diggs MR, Fulda ES, Paradis K, Wiviott SD, Foldyna B, Looby SE, Desvigne-Nickens P, Alston-Smith B, Leon-Cruz J, McCallum S, Hoffmann U, Lu MT, Ribaudo HJ, Douglas PS. Pitavastatin to Prevent Cardiovascular Disease in HIV Infection. N Engl J Med 2023; 389:687-699
  66. He Y, Li X, Gasevic D, Brunt E, McLachlan F, Millenson M, Timofeeva M, Ioannidis JPA, Campbell H, Theodoratou E. Statins and Multiple Noncardiovascular Outcomes: Umbrella Review of Meta-analyses of Observational Studies and Randomized Controlled Trials. Ann Intern Med 2018; 169:543-553
  67. Newman CB, Preiss D, Tobert JA, Jacobson TA, Page RL, 2nd, Goldstein LB, Chin C, Tannock LR, Miller M, Raghuveer G, Duell PB, Brinton EA, Pollak A, Braun LT, Welty FK. Statin Safety and Associated Adverse Events: A Scientific Statement From the American Heart Association. Arterioscler Thromb Vasc Biol 2019; 39:e38-e81
  68. Sattar N, Preiss D, Murray HM, Welsh P, Buckley BM, de Craen AJ, Seshasai SR, McMurray JJ, Freeman DJ, Jukema JW, Macfarlane PW, Packard CJ, Stott DJ, Westendorp RG, Shepherd J, Davis BR, Pressel SL, Marchioli R, Marfisi RM, Maggioni AP, Tavazzi L, Tognoni G, Kjekshus J, Pedersen TR, Cook TJ, Gotto AM, Clearfield MB, Downs JR, Nakamura H, Ohashi Y, Mizuno K, Ray KK, Ford I. Statins and risk of incident diabetes: a collaborative meta-analysis of randomised statin trials. Lancet 2010; 375:735-742
  69. Preiss D, Seshasai SR, Welsh P, Murphy SA, Ho JE, Waters DD, DeMicco DA, Barter P, Cannon CP, Sabatine MS, Braunwald E, Kastelein JJ, de Lemos JA, Blazing MA, Pedersen TR, Tikkanen MJ, Sattar N, Ray KK. Risk of incident diabetes with intensive-dose compared with moderate-dose statin therapy: a meta-analysis. JAMA 2011; 305:2556-2564
  70. Feingold KR. Dyslipidemia in Diabetes. In: Feingold KR, Anawalt B, Boyce A, Chrousos G, Dungan K, Grossman A, Hershman JM, Kaltsas G, Koch C, Kopp P, Korbonits M, McLachlan R, Morley JE, New M, Perreault L, Purnell J, Rebar R, Singer F, Trence DL, Vinik A, Wilson DP, eds. Endotext. South Dartmouth (MA) 2020.
  71. Erqou S, Lee CC, Adler AI. Statins and glycaemic control in individuals with diabetes: a systematic review and meta-analysis. Diabetologia 2014; 57:2444-2452
  72. Colhoun HM, Betteridge DJ, Durrington PN, Hitman GA, Neil HA, Livingstone SJ, Thomason MJ, Mackness MI, Charlton-Menys V, Fuller JH. Primary prevention of cardiovascular disease with atorvastatin in type 2 diabetes in the Collaborative Atorvastatin Diabetes Study (CARDS): multicentre randomised placebo-controlled trial. Lancet 2004; 364:685-696
  73. Collins R, Armitage J, Parish S, Sleigh P, Peto R. MRC/BHF Heart Protection Study of cholesterol-lowering with simvastatin in 5963 people with diabetes: a randomised placebo-controlled trial. Lancet 2003; 361:2005-2016
  74. Sattar N. Statins and diabetes: What are the connections? Best Pract Res Clin Endocrinol Metab 2023; 37:101749
  75. Swerdlow DI, Preiss D, Kuchenbaecker KB, Holmes MV, Engmann JE, Shah T, Sofat R, Stender S, Johnson PC, Scott RA, Leusink M, Verweij N, Sharp SJ, Guo Y, Giambartolomei C, Chung C, Peasey A, Amuzu A, Li K, Palmen J, Howard P, Cooper JA, Drenos F, Li YR, Lowe G, Gallacher J, Stewart MC, Tzoulaki I, Buxbaum SG, van der AD, Forouhi NG, Onland-Moret NC, van der Schouw YT, Schnabel RB, Hubacek JA, Kubinova R, Baceviciene M, Tamosiunas A, Pajak A, Topor-Madry R, Stepaniak U, Malyutina S, Baldassarre D, Sennblad B, Tremoli E, de Faire U, Veglia F, Ford I, Jukema JW, Westendorp RG, de Borst GJ, de Jong PA, Algra A, Spiering W, Maitland-van der Zee AH, Klungel OH, de Boer A, Doevendans PA, Eaton CB, Robinson JG, Duggan D, Consortium D, Consortium M, InterAct C, Kjekshus J, Downs JR, Gotto AM, Keech AC, Marchioli R, Tognoni G, Sever PS, Poulter NR, Waters DD, Pedersen TR, Amarenco P, Nakamura H, McMurray JJ, Lewsey JD, Chasman DI, Ridker PM, Maggioni AP, Tavazzi L, Ray KK, Seshasai SR, Manson JE, Price JF, Whincup PH, Morris RW, Lawlor DA, Smith GD, Ben-Shlomo Y, Schreiner PJ, Fornage M, Siscovick DS, Cushman M, Kumari M, Wareham NJ, Verschuren WM, Redline S, Patel SR, Whittaker JC, Hamsten A, Delaney JA, Dale C, Gaunt TR, Wong A, Kuh D, Hardy R, Kathiresan S, Castillo BA, van der Harst P, Brunner EJ, Tybjaerg-Hansen A, Marmot MG, Krauss RM, Tsai M, Coresh J, Hoogeveen RC, Psaty BM, Lange LA, Hakonarson H, Dudbridge F, Humphries SE, Talmud PJ, Kivimaki M, Timpson NJ, Langenberg C, Asselbergs FW, Voevoda M, Bobak M, Pikhart H, Wilson JG, Reiner AP, Keating BJ, Hingorani AD, Sattar N. HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials. Lancet 2015; 385:351-361
  76. Sugiyama T, Tsugawa Y, Tseng CH, Kobayashi Y, Shapiro MF. Different time trends of caloric and fat intake between statin users and nonusers among US adults: gluttony in the time of statins? JAMA Intern Med 2014; 174:1038-1045
  77. Higuchi S, Izquierdo MC, Haeusler RA. Unexplained reciprocal regulation of diabetes and lipoproteins. Curr Opin Lipidol 2018; 29:186-193
  78. Rojas-Fernandez C, Hudani Z, Bittner V. Statins and cognitive side effects: what cardiologists need to know. Cardiol Clin 2015; 33:245-256
  79. Rojas-Fernandez CH, Goldstein LB, Levey AI, Taylor BA, Bittner V, The National Lipid Association's Safety Task Force. An assessment by the Statin Cognitive Safety Task Force: 2014 update. J Clin Lipidol 2014; 8:S5-16
  80. Richardson K, Schoen M, French B, Umscheid CA, Mitchell MD, Arnold SE, Heidenreich PA, Rader DJ, deGoma EM. Statins and cognitive function: a systematic review. Ann Intern Med 2013; 159:688-697
  81. Trompet S, van Vliet P, de Craen AJ, Jolles J, Buckley BM, Murphy MB, Ford I, Macfarlane PW, Sattar N, Packard CJ, Stott DJ, Shepherd J, Bollen EL, Blauw GJ, Jukema JW, Westendorp RG. Pravastatin and cognitive function in the elderly. Results of the PROSPER study. J Neurol 2010; 257:85-90
  82. Collins R, Armitage J, Parish S, Sleight P, Peto R. Effects of cholesterol-lowering with simvastatin on stroke and other major vascular events in 20536 people with cerebrovascular disease or other high-risk conditions. Lancet 2004; 363:757-767
  83. McGuinness B, Craig D, Bullock R, Malouf R, Passmore P. Statins for the treatment of dementia. Cochrane Database Syst Rev 2014; 7:CD007514
  84. Kashani A, Phillips CO, Foody JM, Wang Y, Mangalmurti S, Ko DT, Krumholz HM. Risks associated with statin therapy: a systematic overview of randomized clinical trials. Circulation 2006; 114:2788-2797
  85. de Denus S, Spinler SA, Miller K, Peterson AM. Statins and liver toxicity: a meta-analysis. Pharmacotherapy 2004; 24:584-591
  86. Law M, Rudnicka AR. Statin safety: a systematic review. Am J Cardiol 2006; 97:52C-60C
  87. Alsheikh-Ali AA, Maddukuri PV, Han H, Karas RH. Effect of the magnitude of lipid lowering on risk of elevated liver enzymes, rhabdomyolysis, and cancer: insights from large randomized statin trials. J Am Coll Cardiol 2007; 50:409-418
  88. Russo MW, Scobey M, Bonkovsky HL. Drug-induced liver injury associated with statins. Semin Liver Dis 2009; 29:412-422
  89. Tolman KG. Defining patient risks from expanded preventive therapies. Am J Cardiol 2000; 85:15E-19E
  90. Boutari C, Pappas PD, Anastasilakis D, Mantzoros CS. Statins' efficacy in non-alcoholic fatty liver disease: A systematic review and meta-analysis. Clin Nutr 2022; 41:2195-2206
  91. Rosenson RS, Baker SK, Jacobson TA, Kopecky SL, Parker BA, The National Lipid Association's Muscle Safety Expert Panel. An assessment by the Statin Muscle Safety Task Force: 2014 update. J Clin Lipidol 2014; 8:S58-71
  92. Stroes ES, Thompson PD, Corsini A, Vladutiu GD, Raal FJ, Ray KK, Roden M, Stein E, Tokgozoglu L, Nordestgaard BG, Bruckert E, De Backer G, Krauss RM, Laufs U, Santos RD, Hegele RA, Hovingh GK, Leiter LA, Mach F, Marz W, Newman CB, Wiklund O, Jacobson TA, Catapano AL, Chapman MJ, Ginsberg HN, European Atherosclerosis Society Consensus Panel. Statin-associated muscle symptoms: impact on statin therapy-European Atherosclerosis Society Consensus Panel Statement on Assessment, Aetiology and Management. Eur Heart J 2015; 36:1012-1022
  93. Thompson PD, Clarkson P, Karas RH. Statin-associated myopathy. JAMA 2003; 289:1681-1690
  94. Cholesterol Treatment Trialists Collaboration. Effect of statin therapy on muscle symptoms: an individual participant data meta-analysis of large-scale, randomised, double-blind trials. Lancet 2022; 400:832-845
  95. Bruckert E, Hayem G, Dejager S, Yau C, Begaud B. Mild to moderate muscular symptoms with high-dosage statin therapy in hyperlipidemic patients--the PRIMO study. Cardiovasc Drugs Ther 2005; 19:403-414
  96. Buettner C, Davis RB, Leveille SG, Mittleman MA, Mukamal KJ. Prevalence of musculoskeletal pain and statin use. J Gen Intern Med 2008; 23:1182-1186
  97. Cohen JD, Brinton EA, Ito MK, Jacobson TA. Understanding Statin Use in America and Gaps in Patient Education (USAGE): an internet-based survey of 10,138 current and former statin users. J Clin Lipidol 2012; 6:208-215
  98. Parker BA, Capizzi JA, Grimaldi AS, Clarkson PM, Cole SM, Keadle J, Chipkin S, Pescatello LS, Simpson K, White CM, Thompson PD. Effect of statins on skeletal muscle function. Circulation 2013; 127:96-103
  99. Gupta A, Thompson D, Whitehouse A, Collier T, Dahlof B, Poulter N, Collins R, Sever P. Adverse events associated with unblinded, but not with blinded, statin therapy in the Anglo-Scandinavian Cardiac Outcomes Trial-Lipid-Lowering Arm (ASCOT-LLA): a randomised double-blind placebo-controlled trial and its non-randomised non-blind extension phase. Lancet 2017; 389:2473-2481
  100. Joy TR, Monjed A, Zou GY, Hegele RA, McDonald CG, Mahon JL. N-of-1 (single-patient) trials for statin-related myalgia. Ann Intern Med 2014; 160:301-310
  101. Taylor BA, Lorson L, White CM, Thompson PD. A randomized trial of coenzyme Q10 in patients with confirmed statin myopathy. Atherosclerosis 2015; 238:329-335
  102. Nissen SE, Stroes E, Dent-Acosta RE, Rosenson RS, Lehman SJ, Sattar N, Preiss D, Bruckert E, Ceska R, Lepor N, Ballantyne CM, Gouni-Berthold I, Elliott M, Brennan DM, Wasserman SM, Somaratne R, Scott R, Stein EA. Efficacy and Tolerability of Evolocumab vs Ezetimibe in Patients With Muscle-Related Statin Intolerance: The GAUSS-3 Randomized Clinical Trial. JAMA 2016; 315:1580-1590
  103. Herrett E, Williamson E, Brack K, Beaumont D, Perkins A, Thayne A, Shakur-Still H, Roberts I, Prowse D, Goldacre B, van Staa T, MacDonald TM, Armitage J, Wimborne J, Melrose P, Singh J, Brooks L, Moore M, Hoffman M, Smeeth L. Statin treatment and muscle symptoms: series of randomised, placebo controlled n-of-1 trials. BMJ 2021; 372:n135
  104. Howard JP, Wood FA, Finegold JA, Nowbar AN, Thompson DM, Arnold AD, Rajkumar CA, Connolly S, Cegla J, Stride C, Sever P, Norton C, Thom SAM, Shun-Shin MJ, Francis DP. Side Effect Patterns in a Crossover Trial of Statin, Placebo, and No Treatment. J Am Coll Cardiol 2021; 78:1210-1222
  105. Nielsen SF, Nordestgaard BG. Negative statin-related news stories decrease statin persistence and increase myocardial infarction and cardiovascular mortality: a nationwide prospective cohort study. Eur Heart J 2016; 37:908-916
  106. De Vera MA, Bhole V, Burns LC, Lacaille D. Impact of statin adherence on cardiovascular disease and mortality outcomes: a systematic review. Br J Clin Pharmacol 2014; 78:684-698
  107. Cziraky MJ, Willey VJ, McKenney JM, Kamat SA, Fisher MD, Guyton JR, Jacobson TA, Davidson MH. Risk of hospitalized rhabdomyolysis associated with lipid-lowering drugs in a real-world clinical setting. J Clin Lipidol 2013; 7:102-108
  108. Davidson MH, Stein EA, Dujovne CA, Hunninghake DB, Weiss SR, Knopp RH, Illingworth DR, Mitchel YB, Melino MR, Zupkis RV, Dobrinska MR, Amin RD, Tobert JA. The efficacy and six-week tolerability of simvastatin 80 and 160 mg/day. Am J Cardiol 1997; 79:38-42
  109. Rosenson RS, Bays HE. Results of two clinical trials on the safety and efficacy of pravastatin 80 and 160 mg per day. Am J Cardiol 2003; 91:878-881
  110. Search Collaborative Group, Link E, Parish S, Armitage J, Bowman L, Heath S, Matsuda F, Gut I, Lathrop M, Collins R. SLCO1B1 variants and statin-induced myopathy--a genomewide study. N Engl J Med 2008; 359:789-799
  111. Hopewell JC, Reith C, Armitage J. Pharmacogenomics of statin therapy: any new insights in efficacy or safety? Curr Opin Lipidol 2014; 25:438-445
  112. Mammen AL. Statin-Associated Autoimmune Myopathy. N Engl J Med 2016; 374:664-669
  113. Mohassel P, Mammen AL. Anti-HMGCR Myopathy. J Neuromuscul Dis 2018; 5:11-20
  114. Wild R, Feingold KR. Effect of Pregnancy on Lipid Metabolism and Lipoprotein Levels. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2023.
  115. Bruckert E, Giral P, Tellier P. Perspectives in cholesterol-lowering therapy: the role of ezetimibe, a new selective inhibitor of intestinal cholesterol absorption. Circulation 2003; 107:3124-3128
  116. Liebeskind A, Peterson AL, Wilson D. Sitosterolemia. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2023.
  117. Pandor A, Ara RM, Tumur I, Wilkinson AJ, Paisley S, Duenas A, Durrington PN, Chilcott J. Ezetimibe monotherapy for cholesterol lowering in 2,722 people: systematic review and meta-analysis of randomized controlled trials. J Intern Med 2009; 265:568-580
  118. Morrone D, Weintraub WS, Toth PP, Hanson ME, Lowe RS, Lin J, Shah AK, Tershakovec AM. Lipid-altering efficacy of ezetimibe plus statin and statin monotherapy and identification of factors associated with treatment response: a pooled analysis of over 21,000 subjects from 27 clinical trials. Atherosclerosis 2012; 223:251-261
  119. Ballantyne CM, Weiss R, Moccetti T, Vogt A, Eber B, Sosef F, Duffield E. Efficacy and safety of rosuvastatin 40 mg alone or in combination with ezetimibe in patients at high risk of cardiovascular disease (results from the EXPLORER study). Am J Cardiol 2007; 99:673-680
  120. Sahebkar A, Simental-Mendia LE, Pirro M, Banach M, Watts GF, Sirtori C, Al-Rasadi K, Atkin SL. Impact of ezetimibe on plasma lipoprotein(a) concentrations as monotherapy or in combination with statins: a systematic review and meta-analysis of randomized controlled trials. Sci Rep 2018; 8:17887
  121. Kastelein JJ, Akdim F, Stroes ES, Zwinderman AH, Bots ML, Stalenhoef AF, Visseren FL, Sijbrands EJ, Trip MD, Stein EA, Gaudet D, Duivenvoorden R, Veltri EP, Marais AD, de Groot E. Simvastatin with or without ezetimibe in familial hypercholesterolemia. N Engl J Med 2008; 358:1431-1443
  122. Sager PT, Capece R, Lipka L, Strony J, Yang B, Suresh R, Mitchel Y, Veltri E. Effects of ezetimibe coadministered with simvastatin on C-reactive protein in a large cohort of hypercholesterolemic patients. Atherosclerosis 2005; 179:361-367
  123. Ballantyne CM, Houri J, Notarbartolo A, Melani L, Lipka LJ, Suresh R, Sun S, LeBeaut AP, Sager PT, Veltri EP. Effect of ezetimibe coadministered with atorvastatin in 628 patients with primary hypercholesterolemia: a prospective, randomized, double-blind trial. Circulation 2003; 107:2409-2415
  124. Yu L. The structure and function of Niemann-Pick C1-like 1 protein. Curr Opin Lipidol 2008; 19:263-269
  125. Turley SD, Dietschy JM. Sterol absorption by the small intestine. Curr Opin Lipidol 2003; 14:233-240
  126. Telford DE, Sutherland BG, Edwards JY, Andrews JD, Barrett PH, Huff MW. The molecular mechanisms underlying the reduction of LDL apoB-100 by ezetimibe plus simvastatin. J Lipid Res 2007; 48:699-708
  127. Pramfalk C, Jiang ZY, Parini P. Hepatic Niemann-Pick C1-like 1. Curr Opin Lipidol 2011; 22:225-230
  128. Rossebo AB, Pedersen TR, Boman K, Brudi P, Chambers JB, Egstrup K, Gerdts E, Gohlke-Barwolf C, Holme I, Kesaniemi YA, Malbecq W, Nienaber CA, Ray S, Skjaerpe T, Wachtell K, Willenheimer R. Intensive lipid lowering with simvastatin and ezetimibe in aortic stenosis. N Engl J Med 2008; 359:1343-1356
  129. Baigent C, Landray MJ, Reith C, Emberson J, Wheeler DC, Tomson C, Wanner C, Krane V, Cass A, Craig J, Neal B, Jiang L, Hooi LS, Levin A, Agodoa L, Gaziano M, Kasiske B, Walker R, Massy ZA, Feldt-Rasmussen B, Krairittichai U, Ophascharoensuk V, Fellstrom B, Holdaas H, Tesar V, Wiecek A, Grobbee D, de Zeeuw D, Gronhagen-Riska C, Dasgupta T, Lewis D, Herrington W, Mafham M, Majoni W, Wallendszus K, Grimm R, Pedersen T, Tobert J, Armitage J, Baxter A, Bray C, Chen Y, Chen Z, Hill M, Knott C, Parish S, Simpson D, Sleight P, Young A, Collins R. The effects of lowering LDL cholesterol with simvastatin plus ezetimibe in patients with chronic kidney disease (Study of Heart and Renal Protection): a randomised placebo-controlled trial. Lancet 2011; 377:2181-2192
  130. Cannon CP, Blazing MA, Giugliano RP, McCagg A, White JA, Theroux P, Darius H, Lewis BS, Ophuis TO, Jukema JW, De Ferrari GM, Ruzyllo W, De Lucca P, Im K, Bohula EA, Reist C, Wiviott SD, Tershakovec AM, Musliner TA, Braunwald E, Califf RM. Ezetimibe Added to Statin Therapy after Acute Coronary Syndromes. N Engl J Med 2015; 372:2387-2397
  131. Bohula EA, Wiviott SD, Giugliano RP, Blazing MA, Park JG, Murphy SA, White JA, Mach F, Van de Werf F, Dalby AJ, White HD, Tershakovec AM, Cannon CP, Braunwald E. Prevention of Stroke with the Addition of Ezetimibe to Statin Therapy in Patients With Acute Coronary Syndrome in IMPROVE-IT (Improved Reduction of Outcomes: Vytorin Efficacy International Trial). Circulation 2017; 136:2440-2450
  132. Giugliano RP, Cannon CP, Blazing MA, Nicolau JC, Corbalan R, Spinar J, Park JG, White JA, Bohula EA, Braunwald E. Benefit of Adding Ezetimibe to Statin Therapy on Cardiovascular Outcomes and Safety in Patients With Versus Without Diabetes Mellitus: Results From IMPROVE-IT (Improved Reduction of Outcomes: Vytorin Efficacy International Trial). Circulation 2018; 137:1571-1582
  133. Bonaca MP, Gutierrez JA, Cannon C, Giugliano R, Blazing M, Park JG, White J, Tershakovec A, Braunwald E. Polyvascular disease, type 2 diabetes, and long-term vascular risk: a secondary analysis of the IMPROVE-IT trial. Lancet Diabetes Endocrinol 2018; 6:934-943
  134. Ouchi Y, Sasaki J, Arai H, Yokote K, Harada K, Katayama Y, Urabe T, Uchida Y, Hayashi M, Yokota N, Nishida H, Otonari T, Arai T, Sakuma I, Sakabe K, Yamamoto M, Kobayashi T, Oikawa S, Yamashita S, Rakugi H, Imai T, Tanaka S, Ohashi Y, Kuwabara M, Ito H. Ezetimibe Lipid-Lowering Trial on Prevention of Atherosclerotic Cardiovascular Disease in 75 or Older (EWTOPIA 75): A Randomized, Controlled Trial. Circulation 2019; 140:992-1003
  135. Kim BK, Hong SJ, Lee YJ, Hong SJ, Yun KH, Hong BK, Heo JH, Rha SW, Cho YH, Lee SJ, Ahn CM, Kim JS, Ko YG, Choi D, Jang Y, Hong MK. Long-term efficacy and safety of moderate-intensity statin with ezetimibe combination therapy versus high-intensity statin monotherapy in patients with atherosclerotic cardiovascular disease (RACING): a randomised, open-label, non-inferiority trial. Lancet 2022; 400:380-390
  136. Lee B, Hong SJ, Rha SW, Heo JH, Hur SH, Choi HH, Kim KJ, Kim JH, Kim HK, Kim U, Choi YJ, Lee YJ, Lee SJ, Ahn CM, Ko YG, Kim BK, Choi D, Hong MK, Jang Y, Kim JS. Moderate-intensity statin plus ezetimibe vs high-intensity statin according to baseline LDL-C in the treatment of atherosclerotic cardiovascular disease: A post-hoc analysis of the RACING randomized trial. Atherosclerosis 2023; 386:117373
  137. Lee SH, Lee YJ, Heo JH, Hur SH, Choi HH, Kim KJ, Kim JH, Park KH, Lee JH, Choi YJ, Lee SJ, Hong SJ, Ahn CM, Kim BK, Ko YG, Choi D, Hong MK, Jang Y, Kim JS. Combination Moderate-Intensity Statin and Ezetimibe Therapy for Elderly Patients With Atherosclerosis. J Am Coll Cardiol 2023; 81:1339-1349
  138. Toth PP, Morrone D, Weintraub WS, Hanson ME, Lowe RS, Lin J, Shah AK, Tershakovec AM. Safety profile of statins alone or combined with ezetimibe: a pooled analysis of 27 studies including over 22,000 patients treated for 6-24 weeks. Int J Clin Pract 2012; 66:800-812
  139. Luo L, Yuan X, Huang W, Ren F, Zhu H, Zheng Y, Tang L. Safety of coadministration of ezetimibe and statins in patients with hypercholesterolaemia: a meta-analysis. Intern Med J 2015; 45:546-557
  140. Kashani A, Sallam T, Bheemreddy S, Mann DL, Wang Y, Foody JM. Review of side-effect profile of combination ezetimibe and statin therapy in randomized clinical trials. Am J Cardiol 2008; 101:1606-1613
  141. Savarese G, De Ferrari GM, Rosano GM, Perrone-Filardi P. Safety and efficacy of ezetimibe: A meta-analysis. Int J Cardiol 2015; 201:247-252
  142. Peto R, Emberson J, Landray M, Baigent C, Collins R, Clare R, Califf R. Analyses of cancer data from three ezetimibe trials. N Engl J Med 2008; 359:1357-1366
  143. Wu H, Shang H, Wu J. Effect of ezetimibe on glycemic control: a systematic review and meta-analysis of randomized controlled trials. Endocrine 2018; 60:229-239
  144. Aldridge MA, Ito MK. Colesevelam hydrochloride: a novel bile acid-binding resin. Ann Pharmacother 2001; 35:898-907
  145. Heel RC, Brogden RN, Pakes GE, Speight TM, Avery GS. Colestipol: a review of its pharmacological properties and therapeutic efficacy in patients with hypercholesterolaemia. Drugs 1980; 19:161-180
  146. Insull W, Jr. Clinical utility of bile acid sequestrants in the treatment of dyslipidemia: a scientific review. South Med J 2006; 99:257-273
  147. Huijgen R, Abbink EJ, Bruckert E, Stalenhoef AF, Imholz BP, Durrington PN, Trip MD, Eriksson M, Visseren FL, Schaefer JR, Kastelein JJ. Colesevelam added to combination therapy with a statin and ezetimibe in patients with familial hypercholesterolemia: a 12-week, multicenter, randomized, double-blind, controlled trial. Clin Ther 2010; 32:615-625
  148. Zema MJ. Colesevelam HCl and ezetimibe combination therapy provides effective lipid-lowering in difficult-to-treat patients with hypercholesterolemia. Am J Ther 2005; 12:306-310
  149. Bays H, Rhyne J, Abby S, Lai YL, Jones M. Lipid-lowering effects of colesevelam HCl in combination with ezetimibe. Curr Med Res Opin 2006; 22:2191-2200
  150. Fonseca VA, Handelsman Y, Staels B. Colesevelam lowers glucose and lipid levels in type 2 diabetes: the clinical evidence. Diabetes Obes Metab 2010; 12:384-392
  151. Devaraj S, Autret B, Jialal I. Effects of colesevelam hydrochloride (WelChol) on biomarkers of inflammation in patients with mild hypercholesterolemia. Am J Cardiol 2006; 98:641-643
  152. Bays HE, Davidson M, Jones MR, Abby SL. Effects of colesevelam hydrochloride on low-density lipoprotein cholesterol and high-sensitivity C-reactive protein when added to statins in patients with hypercholesterolemia. Am J Cardiol 2006; 97:1198-1205
  153. Einarsson K, Ericsson S, Ewerth S, Reihner E, Rudling M, Stahlberg D, Angelin B. Bile acid sequestrants: mechanisms of action on bile acid and cholesterol metabolism. Eur J Clin Pharmacol 1991; 40 Suppl 1:S53-58
  154. Kliewer SA, Mangelsdorf DJ. Bile Acids as Hormones: The FXR-FGF15/19 Pathway. Dig Dis 2015; 33:327-331
  155. Chiang JY. Bile acids: regulation of synthesis. J Lipid Res 2009; 50:1955-1966
  156. Porez G, Prawitt J, Gross B, Staels B. Bile acid receptors as targets for the treatment of dyslipidemia and cardiovascular disease. J Lipid Res 2012; 53:1723-1737
  157. Edwards PA, Kast HR, Anisfeld AM. BAREing it all: the adoption of LXR and FXR and their roles in lipid homeostasis. J Lipid Res 2002; 43:2-12
  158. Bronden A, Knop FK. Gluco-Metabolic Effects of Pharmacotherapy-Induced Modulation of Bile Acid Physiology. J Clin Endocrinol Metab 2020; 105
  159. The Lipid Research Clinics Coronary Primary Prevention Trial results. I. Reduction in incidence of coronary heart disease. JAMA 1984; 251:351-364
  160. The Lipid Research Clinics Coronary Primary Prevention Trial results. II. The relationship of reduction in incidence of coronary heart disease to cholesterol lowering. JAMA 1984; 251:365-374
  161. Levy RI, Brensike JF, Epstein SE, Kelsey SF, Passamani ER, Richardson JM, Loh IK, Stone NJ, Aldrich RF, Battaglini JW, et al. The influence of changes in lipid values induced by cholestyramine and diet on progression of coronary artery disease: results of NHLBI Type II Coronary Intervention Study. Circulation 1984; 69:325-337
  162. Watts GF, Lewis B, Brunt JN, Lewis ES, Coltart DJ, Smith LD, Mann JI, Swan AV. Effects on coronary artery disease of lipid-lowering diet, or diet plus cholestyramine, in the St Thomas' Atherosclerosis Regression Study (STARS). Lancet 1992; 339:563-569
  163. Blankenhorn DH, Nessim SA, Johnson RL, Sanmarco ME, Azen SP, Cashin-Hemphill L. Beneficial effects of combined colestipol-niacin therapy on coronary atherosclerosis and coronary venous bypass grafts. JAMA 1987; 257:3233-3240
  164. Brown G, Albers JJ, Fisher LD, Schaefer SM, Lin JT, Kaplan C, Zhao XQ, Bisson BD, Fitzpatrick VF, Dodge HT. Regression of coronary artery disease as a result of intensive lipid-lowering therapy in men with high levels of apolipoprotein B. N Engl J Med 1990; 323:1289-1298
  165. Kane JP, Malloy MJ, Ports TA, Phillips NR, Diehl JC, Havel RJ. Regression of coronary atherosclerosis during treatment of familial hypercholesterolemia with combined drug regimens. JAMA 1990; 264:3007-3012
  166. Ito MK, McGowan MP, Moriarty PM, National Lipid Association Expert Panel on Familial Hypercholesterolemia. Management of familial hypercholesterolemias in adult patients: recommendations from the National Lipid Association Expert Panel on Familial Hypercholesterolemia. J Clin Lipidol 2011; 5:S38-45
  167. Giugliano RP, Sabatine MS. Are PCSK9 Inhibitors the Next Breakthrough in the Cardiovascular Field? J Am Coll Cardiol 2015; 65:2638-2651
  168. McKenney JM. Understanding PCSK9 and anti-PCSK9 therapies. J Clin Lipidol 2015; 9:170-186
  169. Navarese EP, Kolodziejczak M, Schulze V, Gurbel PA, Tantry U, Lin Y, Brockmeyer M, Kandzari DE, Kubica JM, D'Agostino RB, Sr., Kubica J, Volpe M, Agewall S, Kereiakes DJ, Kelm M. Effects of Proprotein Convertase Subtilisin/Kexin Type 9 Antibodies in Adults With Hypercholesterolemia: A Systematic Review and Meta-analysis. Ann Intern Med 2015; 163:40-51
  170. O'Donoghue ML, Fazio S, Giugliano RP, Stroes ESG, Kanevsky E, Gouni-Berthold I, Im K, Lira Pineda A, Wasserman SM, Ceska R, Ezhov MV, Jukema JW, Jensen HK, Tokgozoglu SL, Mach F, Huber K, Sever PS, Keech AC, Pedersen TR, Sabatine MS. Lipoprotein(a), PCSK9 Inhibition, and Cardiovascular Risk. Circulation 2019; 139:1483-1492
  171. Sahebkar A, Di Giosia P, Stamerra CA, Grassi D, Pedone C, Ferretti G, Bacchetti T, Ferri C, Giorgini P. Effect of monoclonal antibodies to PCSK9 on high-sensitivity C-reactive protein levels: a meta-analysis of 16 randomized controlled treatment arms. Br J Clin Pharmacol 2016; 81:1175-1190
  172. Koren MJ, Lundqvist P, Bolognese M, Neutel JM, Monsalvo ML, Yang J, Kim JB, Scott R, Wasserman SM, Bays H. Anti-PCSK9 monotherapy for hypercholesterolemia: the MENDEL-2 randomized, controlled phase III clinical trial of evolocumab. J Am Coll Cardiol 2014; 63:2531-2540
  173. Roth EM, Taskinen MR, Ginsberg HN, Kastelein JJ, Colhoun HM, Robinson JG, Merlet L, Pordy R, Baccara-Dinet MT. Monotherapy with the PCSK9 inhibitor alirocumab versus ezetimibe in patients with hypercholesterolemia: results of a 24 week, double-blind, randomized Phase 3 trial. Int J Cardiol 2014; 176:55-61
  174. Kereiakes DJ, Robinson JG, Cannon CP, Lorenzato C, Pordy R, Chaudhari U, Colhoun HM. Efficacy and safety of the proprotein convertase subtilisin/kexin type 9 inhibitor alirocumab among high cardiovascular risk patients on maximally tolerated statin therapy: The ODYSSEY COMBO I study. Am Heart J 2015; 169:906-915 e913
  175. Cannon CP, Cariou B, Blom D, McKenney JM, Lorenzato C, Pordy R, Chaudhari U, Colhoun HM. Efficacy and safety of alirocumab in high cardiovascular risk patients with inadequately controlled hypercholesterolaemia on maximally tolerated doses of statins: the ODYSSEY COMBO II randomized controlled trial. Eur Heart J 2015; 36:1186-1194
  176. Robinson JG, Nedergaard BS, Rogers WJ, Fialkow J, Neutel JM, Ramstad D, Somaratne R, Legg JC, Nelson P, Scott R, Wasserman SM, Weiss R. Effect of evolocumab or ezetimibe added to moderate- or high-intensity statin therapy on LDL-C lowering in patients with hypercholesterolemia: the LAPLACE-2 randomized clinical trial. JAMA 2014; 311:1870-1882
  177. Blom DJ, Hala T, Bolognese M, Lillestol MJ, Toth PD, Burgess L, Ceska R, Roth E, Koren MJ, Ballantyne CM, Monsalvo ML, Tsirtsonis K, Kim JB, Scott R, Wasserman SM, Stein EA. A 52-week placebo-controlled trial of evolocumab in hyperlipidemia. N Engl J Med 2014; 370:1809-1819
  178. Raal FJ, Stein EA, Dufour R, Turner T, Civeira F, Burgess L, Langslet G, Scott R, Olsson AG, Sullivan D, Hovingh GK, Cariou B, Gouni-Berthold I, Somaratne R, Bridges I, Scott R, Wasserman SM, Gaudet D. PCSK9 inhibition with evolocumab (AMG 145) in heterozygous familial hypercholesterolaemia (RUTHERFORD-2): a randomised, double-blind, placebo-controlled trial. Lancet 2015; 385:331-340
  179. Kastelein JJ, Ginsberg HN, Langslet G, Hovingh GK, Ceska R, Dufour R, Blom D, Civeira F, Krempf M, Lorenzato C, Zhao J, Pordy R, Baccara-Dinet MT, Gipe DA, Geiger MJ, Farnier M. ODYSSEY FH I and FH II: 78 week results with alirocumab treatment in 735 patients with heterozygous familial hypercholesterolaemia. Eur Heart J 2015; 36:2996-3003
  180. Raal FJ, Honarpour N, Blom DJ, Hovingh GK, Xu F, Scott R, Wasserman SM, Stein EA. Inhibition of PCSK9 with evolocumab in homozygous familial hypercholesterolaemia (TESLA Part B): a randomised, double-blind, placebo-controlled trial. Lancet 2015; 385:341-350
  181. Raal FJ, Hovingh GK, Blom D, Santos RD, Harada-Shiba M, Bruckert E, Couture P, Soran H, Watts GF, Kurtz C, Honarpour N, Tang L, Kasichayanula S, Wasserman SM, Stein EA. Long-term treatment with evolocumab added to conventional drug therapy, with or without apheresis, in patients with homozygous familial hypercholesterolaemia: an interim subset analysis of the open-label TAUSSIG study. Lancet Diabetes Endocrinol 2017; 5:280-290
  182. Stein EA, Honarpour N, Wasserman SM, Xu F, Scott R, Raal FJ. Effect of the proprotein convertase subtilisin/kexin 9 monoclonal antibody, AMG 145, in homozygous familial hypercholesterolemia. Circulation 2013; 128:2113-2120
  183. Blom DJ, Harada-Shiba M, Rubba P, Gaudet D, Kastelein JJP, Charng MJ, Pordy R, Donahue S, Ali S, Dong Y, Khilla N, Banerjee P, Baccara-Dinet M, Rosenson RS. Efficacy and Safety of Alirocumab in Adults With Homozygous Familial Hypercholesterolemia: The ODYSSEY HoFH Trial. J Am Coll Cardiol 2020; 76:131-142
  184. Stroes E, Colquhoun D, Sullivan D, Civeira F, Rosenson RS, Watts GF, Bruckert E, Cho L, Dent R, Knusel B, Xue A, Scott R, Wasserman SM, Rocco M. Anti-PCSK9 antibody effectively lowers cholesterol in patients with statin intolerance: the GAUSS-2 randomized, placebo-controlled phase 3 clinical trial of evolocumab. J Am Coll Cardiol 2014; 63:2541-2548
  185. Moriarty PM, Thompson PD, Cannon CP, Guyton JR, Bergeron J, Zieve FJ, Bruckert E, Jacobson TA, Kopecky SL, Baccara-Dinet MT, Du Y, Pordy R, Gipe DA. Efficacy and safety of alirocumab vs ezetimibe in statin-intolerant patients, with a statin rechallenge arm: The ODYSSEY ALTERNATIVE randomized trial. J Clin Lipidol 2015; 9:758-769
  186. Sattar N, Preiss D, Robinson JG, Djedjos CS, Elliott M, Somaratne R, Wasserman SM, Raal FJ. Lipid-lowering efficacy of the PCSK9 inhibitor evolocumab (AMG 145) in patients with type 2 diabetes: a meta-analysis of individual patient data. Lancet Diabetes Endocrinol 2016; 4:403-410
  187. Abifadel M, Varret M, Rabes JP, Allard D, Ouguerram K, Devillers M, Cruaud C, Benjannet S, Wickham L, Erlich D, Derre A, Villeger L, Farnier M, Beucler I, Bruckert E, Chambaz J, Chanu B, Lecerf JM, Luc G, Moulin P, Weissenbach J, Prat A, Krempf M, Junien C, Seidah NG, Boileau C. Mutations in PCSK9 cause autosomal dominant hypercholesterolemia. Nat Genet 2003; 34:154-156
  188. Warden BA, Fazio S, Shapiro MD. Familial Hypercholesterolemia: Genes and Beyond. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2021.
  189. Cohen J, Pertsemlidis A, Kotowski IK, Graham R, Garcia CK, Hobbs HH. Low LDL cholesterol in individuals of African descent resulting from frequent nonsense mutations in PCSK9. Nat Genet 2005; 37:161-165
  190. Cohen JC, Boerwinkle E, Mosley TH, Jr., Hobbs HH. Sequence variations in PCSK9, low LDL, and protection against coronary heart disease. N Engl J Med 2006; 354:1264-1272
  191. Feingold KR. Introduction to Lipids and Lipoproteins. In: Feingold KR, Anawalt B, Boyce A, Chrousos G, Dungan K, Grossman A, Hershman JM, Kaltsas G, Koch C, Kopp P, Korbonits M, McLachlan R, Morley JE, New M, Perreault L, Purnell J, Rebar R, Singer F, Trence DL, Vinik A, Wilson DP, eds. Endotext. South Dartmouth (MA) 2021.
  192. Horton JD, Cohen JC, Hobbs HH. PCSK9: a convertase that coordinates LDL catabolism. J Lipid Res 2009; 50 Suppl:S172-177
  193. Lambert G, Sjouke B, Choque B, Kastelein JJ, Hovingh GK. The PCSK9 decade. J Lipid Res 2012; 53:2515-2524
  194. Reyes-Soffer G, Pavlyha M, Ngai C, Thomas T, Holleran S, Ramakrishnan R, Karmally W, Nandakumar R, Fontanez N, Obunike J, Marcovina SM, Lichtenstein AH, Matthan NR, Matta J, Maroccia M, Becue F, Poitiers F, Swanson B, Cowan L, Sasiela WJ, Surks HK, Ginsberg HN. Effects of PCSK9 Inhibition With Alirocumab on Lipoprotein Metabolism in Healthy Humans. Circulation 2017; 135:352-362
  195. Watts GF, Chan DC, Dent R, Somaratne R, Wasserman SM, Scott R, Burrows S, Barrett PHR. Factorial Effects of Evolocumab and Atorvastatin on Lipoprotein Metabolism. Circulation 2017; 135:338-351
  196. Watts GF, Chan DC, Pang J, Ma L, Ying Q, Aggarwal S, Marcovina SM, Barrett PHR. PCSK9 Inhibition with alirocumab increases the catabolism of lipoprotein(a) particles in statin-treated patients with elevated lipoprotein(a). Metabolism 2020; 107:154221
  197. Ying Q, Chan DC, Pang J, Marcovina SM, Barrett PHR, Watts GF. PCSK9 inhibition with alirocumab decreases plasma lipoprotein(a) concentration by a dual mechanism of action in statin-treated patients with very high apolipoprotein(a) concentration. J Intern Med 2022; 291:870-876
  198. Raal FJ, Giugliano RP, Sabatine MS, Koren MJ, Blom D, Seidah NG, Honarpour N, Lira A, Xue A, Chirovolu P, Jackson S, Di M, Peach M, Somaratne R, Wasserman SM, Scott R, Stein EA. PCSK9 inhibition-mediated reduction in Lp(a) with evolocumab: an analysis of 10 clinical trials and the role of the LDL receptor. J Lipid Res 2016;
  199. Sabatine MS, Giugliano RP, Wiviott SD, Raal FJ, Blom DJ, Robinson J, Ballantyne CM, Somaratne R, Legg J, Wasserman SM, Scott R, Koren MJ, Stein EA, Open-Label Study of Long-Term Evaluation against LDLCI. Efficacy and safety of evolocumab in reducing lipids and cardiovascular events. N Engl J Med 2015; 372:1500-1509
  200. Sabatine MS, Leiter LA, Wiviott SD, Giugliano RP, Deedwania P, De Ferrari GM, Murphy SA, Kuder JF, Gouni-Berthold I, Lewis BS, Handelsman Y, Pineda AL, Honarpour N, Keech AC, Sever PS, Pedersen TR. Cardiovascular safety and efficacy of the PCSK9 inhibitor evolocumab in patients with and without diabetes and the effect of evolocumab on glycaemia and risk of new-onset diabetes: a prespecified analysis of the FOURIER randomised controlled trial. Lancet Diabetes Endocrinol 2017; 5:941-950
  201. Bonaca MP, Nault P, Giugliano RP, Keech AC, Pineda AL, Kanevsky E, Kuder J, Murphy SA, Jukema JW, Lewis BS, Tokgozoglu L, Somaratne R, Sever PS, Pedersen TR, Sabatine MS. Low-Density Lipoprotein Cholesterol Lowering With Evolocumab and Outcomes in Patients With Peripheral Artery Disease: Insights From the FOURIER Trial (Further Cardiovascular Outcomes Research With PCSK9 Inhibition in Subjects With Elevated Risk). Circulation 2018; 137:338-350
  202. Giugliano RP, Keech A, Murphy SA, Huber K, Tokgozoglu SL, Lewis BS, Ferreira J, Pineda AL, Somaratne R, Sever PS, Pedersen TR, Sabatine MS. Clinical Efficacy and Safety of Evolocumab in High-Risk Patients Receiving a Statin: Secondary Analysis of Patients With Low LDL Cholesterol Levels and in Those Already Receiving a Maximal-Potency Statin in a Randomized Clinical Trial. JAMA Cardiol 2017; 2:1385-1391
  203. Giugliano RP, Pedersen TR, Park JG, De Ferrari GM, Gaciong ZA, Ceska R, Toth K, Gouni-Berthold I, Lopez-Miranda J, Schiele F, Mach F, Ott BR, Kanevsky E, Pineda AL, Somaratne R, Wasserman SM, Keech AC, Sever PS, Sabatine MS. Clinical efficacy and safety of achieving very low LDL-cholesterol concentrations with the PCSK9 inhibitor evolocumab: a prespecified secondary analysis of the FOURIER trial. Lancet 2017; 390:1962-1971
  204. Sabatine MS, De Ferrari GM, Giugliano RP, Huber K, Lewis BS, Ferreira J, Kuder JF, Murphy SA, Wiviott SD, Kurtz CE, Honarpour N, Keech AC, Sever PS, Pedersen TR. Clinical Benefit of Evolocumab by Severity and Extent of Coronary Artery Disease. Circulation 2018; 138:756-766
  205. Schwartz GG, Steg PG, Szarek M, Bhatt DL, Bittner VA, Diaz R, Edelberg JM, Goodman SG, Hanotin C, Harrington RA, Jukema JW, Lecorps G, Mahaffey KW, Moryusef A, Pordy R, Quintero K, Roe MT, Sasiela WJ, Tamby JF, Tricoci P, White HD, Zeiher AM. Alirocumab and Cardiovascular Outcomes after Acute Coronary Syndrome. N Engl J Med 2018; 379:2097-2107
  206. Nicholls SJ, Puri R, Anderson T, Ballantyne CM, Cho L, Kastelein JJ, Koenig W, Somaratne R, Kassahun H, Yang J, Wasserman SM, Scott R, Ungi I, Podolec J, Ophuis AO, Cornel JH, Borgman M, Brennan DM, Nissen SE. Effect of Evolocumab on Progression of Coronary Disease in Statin-Treated Patients: The GLAGOV Randomized Clinical Trial. JAMA 2016; 316:2373-2384
  207. Raber L, Ueki Y, Otsuka T, Losdat S, Haner JD, Lonborg J, Fahrni G, Iglesias JF, van Geuns RJ, Ondracek AS, Radu Juul Jensen MD, Zanchin C, Stortecky S, Spirk D, Siontis GCM, Saleh L, Matter CM, Daemen J, Mach F, Heg D, Windecker S, Engstrom T, Lang IM, Koskinas KC. Effect of Alirocumab Added to High-Intensity Statin Therapy on Coronary Atherosclerosis in Patients With Acute Myocardial Infarction: The PACMAN-AMI Randomized Clinical Trial. JAMA 2022; 327:1771-1781
  208. Perez de Isla L, Diaz-Diaz JL, Romero MJ, Muniz-Grijalvo O, Mediavilla JD, Argueso R, Sanchez Munoz-Torrero JF, Rubio P, Alvarez-Banos P, Ponte P, Manas D, Suarez Gutierrez L, Cepeda JM, Casanas M, Fuentes F, Guijarro C, Angel Barba M, Saltijeral Cerezo A, Padro T, Mata P. Alirocumab and Coronary Atherosclerosis in Asymptomatic Patients with Familial Hypercholesterolemia: The ARCHITECT Study. Circulation 2023; 147:1436-1443
  209. Marston NA, Gurmu Y, Melloni GEM, Bonaca M, Gencer B, Sever PS, Pedersen TR, Keech AC, Roselli C, Lubitz SA, Ellinor PT, O'Donoghue ML, Giugliano RP, Ruff CT, Sabatine MS. The Effect of PCSK9 (Proprotein Convertase Subtilisin/Kexin Type 9) Inhibition on the Risk of Venous Thromboembolism. Circulation 2020; 141:1600-1607
  210. Schwartz GG, Steg PG, Szarek M, Bittner VA, Diaz R, Goodman SG, Kim YU, Jukema JW, Pordy R, Roe MT, White HD, Bhatt DL. Peripheral Artery Disease and Venous Thromboembolic Events After Acute Coronary Syndrome: Role of Lipoprotein(a) and Modification by Alirocumab: Prespecified Analysis of the ODYSSEY OUTCOMES Randomized Clinical Trial. Circulation 2020; 141:1608-1617
  211. de Carvalho LSF, Campos AM, Sposito AC. Proprotein Convertase Subtilisin/Kexin Type 9 (PCSK9) Inhibitors and Incident Type 2 Diabetes: A Systematic Review and Meta-analysis With Over 96,000 Patient-Years. Diabetes Care 2018; 41:364-367
  212. Giugliano RP, Mach F, Zavitz K, Kurtz C, Im K, Kanevsky E, Schneider J, Wang H, Keech A, Pedersen TR, Sabatine MS, Sever PS, Robinson JG, Honarpour N, Wasserman SM, Ott BR. Cognitive Function in a Randomized Trial of Evolocumab. N Engl J Med 2017; 377:633-643
  213. Koren MJ, Giugliano RP, Raal FJ, Sullivan D, Bolognese M, Langslet G, Civeira F, Somaratne R, Nelson P, Liu T, Scott R, Wasserman SM, Sabatine MS. Efficacy and safety of longer-term administration of evolocumab (AMG 145) in patients with hypercholesterolemia: 52-week results from the Open-Label Study of Long-Term Evaluation Against LDL-C (OSLER) randomized trial. Circulation 2014; 129:234-243
  214. Robinson JG, Farnier M, Krempf M, Bergeron J, Luc G, Averna M, Stroes ES, Langslet G, Raal FJ, El Shahawy M, Koren MJ, Lepor NE, Lorenzato C, Pordy R, Chaudhari U, Kastelein JJ. Efficacy and safety of alirocumab in reducing lipids and cardiovascular events. N Engl J Med 2015; 372:1489-1499
  215. Shapiro MD, Feingold KR. Monogenic Disorders Causing Hypobetalipoproteinemia. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2024.
  216. LaRosa JC, Grundy SM, Kastelein JJ, Kostis JB, Greten H, Treating to New Targets Steering C, Investigators. Safety and efficacy of Atorvastatin-induced very low-density lipoprotein cholesterol levels in Patients with coronary heart disease (a post hoc analysis of the treating to new targets [TNT] study). Am J Cardiol 2007; 100:747-752
  217. Wiviott SD, Cannon CP, Morrow DA, Ray KK, Pfeffer MA, Braunwald E. Can low-density lipoprotein be too low? The safety and efficacy of achieving very low low-density lipoprotein with intensive statin therapy: a PROVE IT-TIMI 22 substudy. J Am Coll Cardiol 2005; 46:1411-1416
  218. Everett BM, Mora S, Glynn RJ, MacFadyen J, Ridker PM. Safety profile of subjects treated to very low low-density lipoprotein cholesterol levels (<30 mg/dl) with rosuvastatin 20 mg daily (from JUPITER). Am J Cardiol 2014; 114:1682-1689
  219. Sinning D, Landmesser U. Low-density Lipoprotein-Cholesterol Lowering Strategies for Prevention of Atherosclerotic Cardiovascular Disease: Focus on siRNA Treatment Targeting PCSK9 (Inclisiran). Curr Cardiol Rep 2020; 22:176
  220. Ray KK, Wright RS, Kallend D, Koenig W, Leiter LA, Raal FJ, Bisch JA, Richardson T, Jaros M, Wijngaard PLJ, Kastelein JJP. Two Phase 3 Trials of Inclisiran in Patients with Elevated LDL Cholesterol. N Engl J Med 2020; 382:1507-1519
  221. Wright RS, Collins MG, Stoekenbroek RM, Robson R, Wijngaard PLJ, Landmesser U, Leiter LA, Kastelein JJP, Ray KK, Kallend D. Effects of Renal Impairment on the Pharmacokinetics, Efficacy, and Safety of Inclisiran: An Analysis of the ORION-7 and ORION-1 Studies. Mayo Clin Proc 2020; 95:77-89
  222. Ray KK, Troquay RPT, Visseren FLJ, Leiter LA, Scott Wright R, Vikarunnessa S, Talloczy Z, Zang X, Maheux P, Lesogor A, Landmesser U. Long-term efficacy and safety of inclisiran in patients with high cardiovascular risk and elevated LDL cholesterol (ORION-3): results from the 4-year open-label extension of the ORION-1 trial. Lancet Diabetes Endocrinol 2023; 11:109-119
  223. Raal FJ, Kallend D, Ray KK, Turner T, Koenig W, Wright RS, Wijngaard PLJ, Curcio D, Jaros MJ, Leiter LA, Kastelein JJP. Inclisiran for the Treatment of Heterozygous Familial Hypercholesterolemia. N Engl J Med 2020; 382:1520-1530
  224. Hovingh GK, Lepor NE, Kallend D, Stoekenbroek RM, Wijngaard PLJ, Raal FJ. Inclisiran Durably Lowers Low-Density Lipoprotein Cholesterol and Proprotein Convertase Subtilisin/Kexin Type 9 Expression in Homozygous Familial Hypercholesterolemia: The ORION-2 Pilot Study. Circulation 2020; 141:1829-1831
  225. Raal F, Durst R, Bi R, Talloczy Z, Maheux P, Lesogor A, Kastelein JJP. Efficacy, Safety, and Tolerability of Inclisiran in Patients With Homozygous Familial Hypercholesterolemia: Results From the ORION-5 Randomized Clinical Trial. Circulation 2024; 149:354-362
  226. Wright RS, Koenig W, Landmesser U, Leiter LA, Raal FJ, Schwartz GG, Lesogor A, Maheux P, Stratz C, Zang X, Ray KK. Safety and Tolerability of Inclisiran for Treatment of Hypercholesterolemia in 7 Clinical Trials. J Am Coll Cardiol 2023; 82:2251-2261
  227. Laufs U, Banach M, Mancini GBJ, Gaudet D, Bloedon LT, Sterling LR, Kelly S, Stroes ESG. Efficacy and Safety of Bempedoic Acid in Patients With Hypercholesterolemia and Statin Intolerance. J Am Heart Assoc 2019; 8:e011662
  228. Goldberg AC, Leiter LA, Stroes ESG, Baum SJ, Hanselman JC, Bloedon LT, Lalwani ND, Patel PM, Zhao X, Duell PB. Effect of Bempedoic Acid vs Placebo Added to Maximally Tolerated Statins on Low-Density Lipoprotein Cholesterol in Patients at High Risk for Cardiovascular Disease: The CLEAR Wisdom Randomized Clinical Trial. JAMA 2019; 322:1780-1788
  229. Ray KK, Bays HE, Catapano AL, Lalwani ND, Bloedon LT, Sterling LR, Robinson PL, Ballantyne CM. Safety and Efficacy of Bempedoic Acid to Reduce LDL Cholesterol. N Engl J Med 2019; 380:1022-1032
  230. Lalwani ND, Hanselman JC, MacDougall DE, Sterling LR, Cramer CT. Complementary low-density lipoprotein-cholesterol lowering and pharmacokinetics of adding bempedoic acid (ETC-1002) to high-dose atorvastatin background therapy in hypercholesterolemic patients: A randomized placebo-controlled trial. J Clin Lipidol 2019; 13:568-579
  231. Ballantyne CM, Laufs U, Ray KK, Leiter LA, Bays HE, Goldberg AC, Stroes ES, MacDougall D, Zhao X, Catapano AL. Bempedoic acid plus ezetimibe fixed-dose combination in patients with hypercholesterolemia and high CVD risk treated with maximally tolerated statin therapy. Eur J Prev Cardiol 2019:2047487319864671
  232. Ballantyne CM, Banach M, Mancini GBJ, Lepor NE, Hanselman JC, Zhao X, Leiter LA. Efficacy and safety of bempedoic acid added to ezetimibe in statin-intolerant patients with hypercholesterolemia: A randomized, placebo-controlled study. Atherosclerosis 2018; 277:195-203
  233. Ridker PM, Lei L, Ray KK, Ballantyne CM, Bradwin G, Rifai N. Effects of bempedoic acid on CRP, IL-6, fibrinogen and lipoprotein(a) in patients with residual inflammatory risk: A secondary analysis of the CLEAR harmony trial. J Clin Lipidol 2023; 17:297-302
  234. Ray KK, Nicholls SJ, Li N, Louie MJ, Brennan D, Lincoff AM, Nissen SE. Efficacy and safety of bempedoic acid among patients with and without diabetes: prespecified analysis of the CLEAR Outcomes randomised trial. Lancet Diabetes Endocrinol 2024; 12:19-28
  235. Nissen SE, Nicholls SJ, Lincoff AM. Bempedoic Acid for Primary Prevention of Cardiovascular Events-Reply. JAMA 2023; 330:1696-1697
  236. Bays HE, Bloedon LT, Lin G, Powell HA, Louie MJ, Nicholls SJ, Lincoff AM, Nissen S. Safety of bempedoic acid in patients at high cardiovascular risk and with statin intolerance. J Clin Lipidol 2023;
  237. Burke AC, Telford DE, Huff MW. Bempedoic acid: effects on lipoprotein metabolism and atherosclerosis. Curr Opin Lipidol 2019; 30:1-9
  238. Ference BA, Ray KK, Catapano AL, Ference TB, Burgess S, Neff DR, Oliver-Williams C, Wood AM, Butterworth AS, Di Angelantonio E, Danesh J, Kastelein JJP, Nicholls SJ. Mendelian Randomization Study of ACLY and Cardiovascular Disease. N Engl J Med 2019; 380:1033-1042
  239. Nissen SE, Lincoff AM, Brennan D, Ray KK, Mason D, Kastelein JJP, Thompson PD, Libby P, Cho L, Plutzky J, Bays HE, Moriarty PM, Menon V, Grobbee DE, Louie MJ, Chen CF, Li N, Bloedon L, Robinson P, Horner M, Sasiela WJ, McCluskey J, Davey D, Fajardo-Campos P, Petrovic P, Fedacko J, Zmuda W, Lukyanov Y, Nicholls SJ. Bempedoic Acid and Cardiovascular Outcomes in Statin-Intolerant Patients. N Engl J Med 2023; 388:1353-1364
  240. Neef D, Berthold HK, Gouni-Berthold I. Lomitapide for use in patients with homozygous familial hypercholesterolemia: a narrative review. Expert Rev Clin Pharmacol 2016; 9:655-663
  241. Gouni-Berthold I, Berthold HK. Mipomersen and lomitapide: Two new drugs for the treatment of homozygous familial hypercholesterolemia. Atheroscler Suppl 2015; 18:28-34
  242. Rader DJ, Kastelein JJ. Lomitapide and mipomersen: two first-in-class drugs for reducing low-density lipoprotein cholesterol in patients with homozygous familial hypercholesterolemia. Circulation 2014; 129:1022-1032
  243. Cuchel M, Meagher EA, du Toit Theron H, Blom DJ, Marais AD, Hegele RA, Averna MR, Sirtori CR, Shah PK, Gaudet D, Stefanutti C, Vigna GB, Du Plessis AM, Propert KJ, Sasiela WJ, Bloedon LT, Rader DJ, Phase 3 Ho FHLSi. Efficacy and safety of a microsomal triglyceride transfer protein inhibitor in patients with homozygous familial hypercholesterolaemia: a single-arm, open-label, phase 3 study. Lancet 2013; 381:40-46
  244. Blom DJ, Averna MR, Meagher EA, du Toit Theron H, Sirtori CR, Hegele RA, Shah PK, Gaudet D, Stefanutti C, Vigna GB, Larrey D, Bloedon LT, Foulds P, Rader DJ, Cuchel M. Long-Term Efficacy and Safety of the Microsomal Triglyceride Transfer Protein Inhibitor Lomitapide in Patients With Homozygous Familial Hypercholesterolemia. Circulation 2017; 136:332-335
  245. Samaha FF, McKenney J, Bloedon LT, Sasiela WJ, Rader DJ. Inhibition of microsomal triglyceride transfer protein alone or with ezetimibe in patients with moderate hypercholesterolemia. Nat Clin Pract Cardiovasc Med 2008; 5:497-505
  246. Hussain MM, Shi J, Dreizen P. Microsomal triglyceride transfer protein and its role in apoB-lipoprotein assembly. J Lipid Res 2003; 44:22-32
  247. Blom DJ, Cuchel M, Ager M, Phillips H. Target achievement and cardiovascular event rates with Lomitapide in homozygous Familial Hypercholesterolaemia. Orphanet J Rare Dis 2018; 13:96
  248. Sacks FM, Stanesa M, Hegele RA. Severe hypertriglyceridemia with pancreatitis: thirteen years' treatment with lomitapide. JAMA Intern Med 2014; 174:443-447
  249. Underberg JA, Cannon CP, Larrey D, Makris L, Blom D, Phillips H. Long-term safety and efficacy of lomitapide in patients with homozygous familial hypercholesterolemia: Five-year data from the Lomitapide Observational Worldwide Evaluation Registry (LOWER). J Clin Lipidol 2020; 14:807-817
  250. Larrey D, D'Erasmo L, O'Brien S, Arca M. Long-term hepatic safety of lomitapide in homozygous familial hypercholesterolaemia. Liver Int 2023; 43:413-423
  251. Agarwala A, Jones P, Nambi V. The role of antisense oligonucleotide therapy in patients with familial hypercholesterolemia: risks, benefits, and management recommendations. Curr Atheroscler Rep 2015; 17:467
  252. Raal FJ, Santos RD, Blom DJ, Marais AD, Charng MJ, Cromwell WC, Lachmann RH, Gaudet D, Tan JL, Chasan-Taber S, Tribble DL, Flaim JD, Crooke ST. Mipomersen, an apolipoprotein B synthesis inhibitor, for lowering of LDL cholesterol concentrations in patients with homozygous familial hypercholesterolaemia: a randomised, double-blind, placebo-controlled trial. Lancet 2010; 375:998-1006
  253. Stein EA, Dufour R, Gagne C, Gaudet D, East C, Donovan JM, Chin W, Tribble DL, McGowan M. Apolipoprotein B synthesis inhibition with mipomersen in heterozygous familial hypercholesterolemia: results of a randomized, double-blind, placebo-controlled trial to assess efficacy and safety as add-on therapy in patients with coronary artery disease. Circulation 2012; 126:2283-2292
  254. Santos RD, Duell PB, East C, Guyton JR, Moriarty PM, Chin W, Mittleman RS. Long-term efficacy and safety of mipomersen in patients with familial hypercholesterolaemia: 2-year interim results of an open-label extension. Eur Heart J 2015; 36:566-575
  255. Panta R, Dahal K, Kunwar S. Efficacy and safety of mipomersen in treatment of dyslipidemia: a meta-analysis of randomized controlled trials. J Clin Lipidol 2015; 9:217-225
  256. Duell PB, Santos RD, Kirwan BA, Witztum JL, Tsimikas S, Kastelein JJP. Long-term mipomersen treatment is associated with a reduction in cardiovascular events in patients with familial hypercholesterolemia. J Clin Lipidol 2016; 10:1011-1021
  257. Hashemi N, Odze RD, McGowan MP, Santos RD, Stroes ES, Cohen DE. Liver histology during Mipomersen therapy for severe hypercholesterolemia. J Clin Lipidol 2014; 8:606-611
  258. Raal FJ, Rosenson RS, Reeskamp LF, Hovingh GK, Kastelein JJP, Rubba P, Ali S, Banerjee P, Chan KC, Gipe DA, Khilla N, Pordy R, Weinreich DM, Yancopoulos GD, Zhang Y, Gaudet D. Evinacumab for Homozygous Familial Hypercholesterolemia. N Engl J Med 2020; 383:711-720
  259. Rosenson RS, Burgess LJ, Ebenbichler CF, Baum SJ, Stroes ESG, Ali S, Khilla N, Hamlin R, Pordy R, Dong Y, Son V, Gaudet D. Evinacumab in Patients with Refractory Hypercholesterolemia. N Engl J Med 2020; 383:2307-2319
  260. Rosenson RS, Burgess LJ, Ebenbichler CF, Baum SJ, Stroes ESG, Ali S, Khilla N, McGinniss J, Gaudet D, Pordy R. Longer-Term Efficacy and Safety of Evinacumab in Patients With Refractory Hypercholesterolemia. JAMA Cardiol 2023; 8:1070-1076
  261. Feingold KR. Triglyceride Lowering Drugs. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2024.
  262. Mattijssen F, Kersten S. Regulation of triglyceride metabolism by Angiopoietin-like proteins. Biochim Biophys Acta 2012; 1821:782-789
  263. Kersten S. New insights into angiopoietin-like proteins in lipid metabolism and cardiovascular disease risk. Curr Opin Lipidol 2019; 30:205-211
  264. Jaye M, Lynch KJ, Krawiec J, Marchadier D, Maugeais C, Doan K, South V, Amin D, Perrone M, Rader DJ. A novel endothelial-derived lipase that modulates HDL metabolism. Nat Genet 1999; 21:424-428
  265. Ishida T, Choi S, Kundu RK, Hirata K, Rubin EM, Cooper AD, Quertermous T. Endothelial lipase is a major determinant of HDL level. J Clin Invest 2003; 111:347-355
  266. Shimamura M, Matsuda M, Yasumo H, Okazaki M, Fujimoto K, Kono K, Shimizugawa T, Ando Y, Koishi R, Kohama T, Sakai N, Kotani K, Komuro R, Ishida T, Hirata K, Yamashita S, Furukawa H, Shimomura I. Angiopoietin-like protein3 regulates plasma HDL cholesterol through suppression of endothelial lipase. Arterioscler Thromb Vasc Biol 2007; 27:366-372
  267. Adam RC, Mintah IJ, Alexa-Braun CA, Shihanian LM, Lee JS, Banerjee P, Hamon SC, Kim HI, Cohen JC, Hobbs HH, Van Hout C, Gromada J, Murphy AJ, Yancopoulos GD, Sleeman MW, Gusarova V. Angiopoietin-like protein 3 governs LDL-cholesterol levels through endothelial lipase-dependent VLDL clearance. J Lipid Res 2020; 61:1271-1286
  268. Reeskamp LF, Millar JS, Wu L, Jansen H, van Harskamp D, Schierbeek H, Gipe DA, Rader DJ, Dallinga-Thie GM, Hovingh GK, Cuchel M. ANGPTL3 Inhibition With Evinacumab Results in Faster Clearance of IDL and LDL apoB in Patients With Homozygous Familial Hypercholesterolemia. Arterioscler Thromb Vasc Biol 2021:ATVBAHA120315204
  269. Wang Y, Gusarova V, Banfi S, Gromada J, Cohen JC, Hobbs HH. Inactivation of ANGPTL3 reduces hepatic VLDL-triglyceride secretion. J Lipid Res 2015; 56:1296-1307
  270. Musunuru K, Pirruccello JP, Do R, Peloso GM, Guiducci C, Sougnez C, Garimella KV, Fisher S, Abreu J, Barry AJ, Fennell T, Banks E, Ambrogio L, Cibulskis K, Kernytsky A, Gonzalez E, Rudzicz N, Engert JC, DePristo MA, Daly MJ, Cohen JC, Hobbs HH, Altshuler D, Schonfeld G, Gabriel SB, Yue P, Kathiresan S. Exome sequencing, ANGPTL3 mutations, and familial combined hypolipidemia. N Engl J Med 2010; 363:2220-2227
  271. Dewey FE, Gusarova V, Dunbar RL, O'Dushlaine C, Schurmann C, Gottesman O, McCarthy S, Van Hout CV, Bruse S, Dansky HM, Leader JB, Murray MF, Ritchie MD, Kirchner HL, Habegger L, Lopez A, Penn J, Zhao A, Shao W, Stahl N, Murphy AJ, Hamon S, Bouzelmat A, Zhang R, Shumel B, Pordy R, Gipe D, Herman GA, Sheu WHH, Lee IT, Liang KW, Guo X, Rotter JI, Chen YI, Kraus WE, Shah SH, Damrauer S, Small A, Rader DJ, Wulff AB, Nordestgaard BG, Tybjaerg-Hansen A, van den Hoek AM, Princen HMG, Ledbetter DH, Carey DJ, Overton JD, Reid JG, Sasiela WJ, Banerjee P, Shuldiner AR, Borecki IB, Teslovich TM, Yancopoulos GD, Mellis SJ, Gromada J, Baras A. Genetic and Pharmacologic Inactivation of ANGPTL3 and Cardiovascular Disease. N Engl J Med 2017; 377:211-221
  272. Stitziel NO, Khera AV, Wang X, Bierhals AJ, Vourakis AC, Sperry AE, Natarajan P, Klarin D, Emdin CA, Zekavat SM, Nomura A, Erdmann J, Schunkert H, Samani NJ, Kraus WE, Shah SH, Yu B, Boerwinkle E, Rader DJ, Gupta N, Frossard PM, Rasheed A, Danesh J, Lander ES, Gabriel S, Saleheen D, Musunuru K, Kathiresan S. ANGPTL3 Deficiency and Protection Against Coronary Artery Disease. J Am Coll Cardiol 2017; 69:2054-2063
  273. Ahmad Z, Banerjee P, Hamon S, Chan KC, Bouzelmat A, Sasiela WJ, Pordy R, Mellis S, Dansky H, Gipe DA, Dunbar RL. Inhibition of Angiopoietin-Like Protein 3 With a Monoclonal Antibody Reduces Triglycerides in Hypertriglyceridemia. Circulation 2019; 140:470-486
  274. Feingold KR. Lipoprotein Apheresis. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2023.
  275. Awad K, Mikhailidis DP, Toth PP, Jones SR, Moriarty P, Lip GYH, Muntner P, Catapano AL, Pencina MJ, Rosenson RS, Rysz J, Banach M. Efficacy and Safety of Alternate-Day Versus Daily Dosing of Statins: a Systematic Review and Meta-Analysis. Cardiovasc Drugs Ther 2017; 31:419-431
  276. Kennedy SP, Barnas GP, Schmidt MJ, Glisczinski MS, Paniagua AC. Efficacy and tolerability of once-weekly rosuvastatin in patients with previous statin intolerance. J Clin Lipidol 2011; 5:308-315
  277. Banach M, Serban C, Sahebkar A, Ursoniu S, Rysz J, Muntner P, Toth PP, Jones SR, Rizzo M, Glasser SP, Lip GY, Dragan S, Mikhailidis DP, Lipid, Blood Pressure Meta-analysis Collaboration G. Effects of coenzyme Q10 on statin-induced myopathy: a meta-analysis of randomized controlled trials. Mayo Clin Proc 2015; 90:24-34
  278. Schaars CF, Stalenhoef AF. Effects of ubiquinone (coenzyme Q10) on myopathy in statin users. Curr Opin Lipidol 2008; 19:553-557
  279. Skarlovnik A, Janic M, Lunder M, Turk M, Sabovic M. Coenzyme Q10 supplementation decreases statin-related mild-to-moderate muscle symptoms: a randomized clinical study. Med Sci Monit 2014; 20:2183-2188
  280. Bogsrud MP, Langslet G, Ose L, Arnesen KE, Sm Stuen MC, Malt UF, Woldseth B, Retterstol K. No effect of combined coenzyme Q10 and selenium supplementation on atorvastatin-induced myopathy. Scand Cardiovasc J 2013; 47:80-87
  281. Caso G, Kelly P, McNurlan MA, Lawson WE. Effect of coenzyme q10 on myopathic symptoms in patients treated with statins. Am J Cardiol 2007; 99:1409-1412
  282. Fedacko J, Pella D, Fedackova P, Hanninen O, Tuomainen P, Jarcuska P, Lopuchovsky T, Jedlickova L, Merkovska L, Littarru GP. Coenzyme Q(10) and selenium in statin-associated myopathy treatment. Can J Physiol Pharmacol 2013; 91:165-170
  283. Hlatky MA, Gonzalez PE, Manson JE, Buring JE, Lee IM, Cook NR, Mora S, Bubes V, Stone NJ. Statin-Associated Muscle Symptoms Among New Statin Users Randomly Assigned to Vitamin D or Placebo. JAMA Cardiol 2023; 8:74-80
  284. Becker DJ, Gordon RY, Halbert SC, French B, Morris PB, Rader DJ. Red yeast rice for dyslipidemia in statin-intolerant patients: a randomized trial. Ann Intern Med 2009; 150:830-839, W147-839
  285. Halbert SC, French B, Gordon RY, Farrar JT, Schmitz K, Morris PB, Thompson PD, Rader DJ, Becker DJ. Tolerability of red yeast rice (2,400 mg twice daily) versus pravastatin (20 mg twice daily) in patients with previous statin intolerance. Am J Cardiol 2010; 105:198-204

Endocrinology of Pregnancy

ABSTRACT

A coordinated sequence of events must occur in order to establish and successfully maintain a healthy pregnancy. Synchrony between the development of the early embryo and establishment of a receptive endometrium is necessary to allow implantation and subsequent progression of pregnancy. The endocrinology of human pregnancy involves endocrine and metabolic changes that result from physiological alterations at the boundary between mother and fetus. Known as the feto-placental unit (FPU), this interface is a major site of protein and steroid hormone production and secretion. Many of the endocrine and metabolic changes that occur during pregnancy can be directly attributed to hormonal signals originating from the FPU. The initiation and maintenance of pregnancy depends primarily on the interactions of neuronal and hormonal factors. Proper timing of these neuro-endocrine events within and between the placental, fetal, and maternal compartments is critical in directing fetal growth and development and in coordinating the timing of parturition. Maternal adaptations to hormonal changes that occur during pregnancy directly affect the development of the fetus and placenta. Gestational adaptations that take place in pregnancy include establishment of a receptive endometrium; implantation and the maintenance of early pregnancy; modification of the maternal system in order to provide adequate nutritional support for the developing fetus; and preparation for parturition and subsequent lactation.

INTRODUCTION

A coordinated sequence of events must occur in order to establish and successfully maintain a healthy pregnancy.  The endocrinology of human pregnancy involves endocrine and metabolic changes that result from physiological alterations at the boundary between mother and fetus. Known as the feto-placental unit (FPU), this interface is a major site of protein and steroid hormone production and secretion (Figure 1). Additionally, it serves as an endocrine, respiratory, alimentary, and excretory organ, facilitating the exchange of nutrients and metabolic products between the mother and fetus. The fetus is dependent on this effective exchange with the mother for its proper intrauterine growth and development. Thus, it is not surprising that the fetus initiates and influences maternal adaptations to optimize this exchange via complex hormonal mechanisms. Many of the endocrine and metabolic changes that occur during pregnancy can be directly attributed to hormonal signals originating from the FPU. The initiation and maintenance of pregnancy depends primarily on the interactions of neuronal and hormonal factors. Proper timing of these neuro-endocrine events within and between the placental, fetal, and maternal compartments is critical in directing fetal growth and development and in coordinating the timing of parturition. Maternal adaptations to hormonal changes that occur during pregnancy directly affect the development of the fetus and placenta. Gestational adaptations that take place in pregnancy include establishment of a receptive endometrium; implantation and the maintenance of early pregnancy; modification of the maternal system in order to provide adequate nutritional support for the developing fetus; and preparation for parturition and subsequent lactation.

 Figure 1. The interface between mother and fetus, known as the feto-placental unit (FPU), is a major site of protein and steroid hormone production and secretion. 

ENDOMETRIAL RECEPTIVITY 

The menstrual cycle, involves a synchronous production of ovarian steroid hormones, estrogen and progesterone, which induces structural and functional changes within the endometrium in anticipation for embryo implantation and the establishment of a pregnancy.  During the luteal phase, under the primary influence of progesterone, the proliferative endometrium changes into secretory endometrium, which is well vascularized and composed of spiral arteries. A favorable environment for implantation is established via chemokines, growth factors, and cell adhesion molecules (CAMs) produced by the glandular secretory endometrium (1). The chemokines and CAMs serve to attract the blastocyst to the specific sites of implantation where the endometrium is strategically prepared for invasion and placentation (1). When implantation does not occur, a timely regression and destruction of the fully developed endometrium leads to menstruation. However, if implantation occurs, the endometrium continues to grow and undergoes further morphological and molecular changes to provide supportive environment for the growing embryo (2).

Endometrial “receptivity” refers to this physiological state when the endometrium allows a blastocyst to attach, firmly adhere, penetrate, and induce localized changes in the endometrial stroma resulting in decidualization (2). The specific period, known as the “implantation window” opens 4-5 days after endogenous or exogenous progesterone stimulation and closes approximately 9-10 days later (3, 4). Implantation has three stages: apposition, adhesion and penetration. Apposition is an initial unstable adhesion of the blastocyst to the endometrial surface.  This stage is characterized histologically by the appearance of microprotrusions from the apical surface of the epithelium, termed pinopodes, occurring six days after ovulation and retained for 24 hours during the implantation window. The pinopods express chemokines and CAMs, which attract the blastocyst floating within the endometrial cavity to appose.  Additionally, the smooth surface of the pinopodes facilitates the apposition of the blastocyst to the endometrium.  Further encouraging the blastocyst to appose to the pinopods is the removal of adhesion inhibiting mucin, while the areas between pinopods have been shown to express MUC-1, which prevents embryo adhesion (5).  Once the blastocyst is apposed, a stronger attachment is achieved through local paracrine signaling between the embryo and the endometrium. At this stage, the blastocyst is sufficiently adherent to the endometrium as to resist dislocation of the blastocyst by flushing the uterine lumen. The first sign of the attachment reaction coincides with a localized increase in stromal vascular permeability which is manifested as stromal edema at the site of blastocyst attachment (6).  Thus, vascular changes also appear to be an important factor in establishing endometrial receptivity. Following adhesion, the embryo invades through the luminal epithelium into the stroma to establish a relationship with the maternal vasculature. In response to this invasion and the presence of progesterone stimulation, the endometrial stromal cells undergo a process termed decidualization by which they differentiate and become specialized decidual stromal cells. Decidualization is essential for the survival and continued development of the pregnancy. In humans, decidual changes occur throughout the entire endometrium during the luteal phase even in the absence of an embryo, but become widespread in early gestation. These decidual stromal cells are very metabolically active and support the implanting embryo by secreting a wide array of hormones and growth factors including prolactin, relaxin, insulin-like growth factors (IGFs) and insulin growth factor binding proteins (IGFBPs). The endometrial stromal cells are the precursors of decidual stromal cells and appear to originate from both resident uterine mesenchymal stem cells as well as adult bone marrow-derived stem cells (7, 8). Interestingly, bone marrow-derived progenitors have been shown to give rise to functional prolactin-producing decidual stromal cells in decidua of pregnant mice, and appear to play an important role in implantation and pregnancy maintenance (9). The bone marrow is also the source of many leukocytes that infiltrate the endometrium during the secretory phase. In humans, a large influx of leukocytes to the uterus occurs in response to ovulation and rising ovarian P4 production, elevating them to 40% of all endometrial cells in the mid-late secretory phase of the menstrual cycle (10). This gain in leukocyte numbers is primarily due to the accumulation of uterine natural killer (uNK) cells. Studies in mice additionally show that the selected entry of uNK cells into early decidua optimizes angiogenesis and promotes decidual spiral artery vascular remodeling. This influences the timing of uterine lumen closure and thereby the appropriate rate of early fetal development including initiation of trophoblast invasion (11). Macrophages are the second most abundant leukocyte population in the luteal phase endometrium. In addition to uterine NK cells and macrophages, the endometrium contains T cells with no apparent cyclic changes, and rare populations of dendritic cells in luteal phase endometrium, both of which become more abundant in the pregnant decidua. The composition and function of these immune cells at the implantation site and the maternal-fetal interface are highly specialized to foster embryo and placental development and to minimize the chance of immune rejection (12).   

Progesterone is essential in mediating the changes that the endometrium undergoes in the luteal phase in preparation for embryo implantation (13). The effects of progesterone on the uterus have been elucidated through elegant experiments in knockout mice as well as studies using progesterone receptor (PR) antagonists. Mice with global PR knockout are infertile due to defects in ovulation and implantation (14). Their endometrium displays hypertrophy and inflammation of the glandular epithelium associated with failure to undergo decidualization. Mice with a specific knockout in PR-B isoform, however, have normal ovarian function, implantation and reproductive capacity (15, 16). In contrast, mice with a specific knockout in PR-A exhibit lack of decidualization in the endometrial stroma along with endometrial epithelial hyperplasia and inflammation (15, 16), indicating that PR-A is critical for embryo implantation and the normal function of the endometrial epithelium and stroma, while PR-B promotes epithelial hyperplasia of the endometrium. Moreover, administration of the progesterone antagonist mifepristone (RU486) in humans during pregnancy induces abortion, fetal loss or parturition, depending on the gestational age (17, 18). If administered at low doses at the mid- or late follicular phase, it prevents pregnancy by delaying endometrial maturation, while at high doses it delays the LH surge and inhibits ovulation (19, 20).   

The key to endometrial receptivity is the dynamic and precisely controlled molecular and cellular events that involve coordinated effects of autocrine, paracrine, and endocrine factors. Analysis of the transcriptosome of the endometrium during the implantation window using microarray technology has revealed numerous genes that are up- and down-regulated during the “window of implantation” when compared with late proliferative phase endometrium (4, 21). In particular, transcription factors such as the homeobox (HOX) genes are essential for endometrial receptivity by mediating some functions of the sex steroids. HOXA10- and HOXA11-deficient mice have uterine factor infertility due to an implantation defect (22, 23). Both HOXA10 and HOXA11 mRNAs are expressed in human endometrial epithelial and stromal cells; their expression is upregulated by estrogen and progesterone, and is significantly higher in the mid- and late-secretory phases, coinciding with time of embryo implantation (24, 25). As transcription factors, HOX genes regulate other downstream target genes specific to the implantation window, including pinopodes, β3 integrin and insulin-like growth factor-binding protein-1 (IGFBP-1), leading to the proper development of the endometrium and receptivity to implantation (26). Other growth factors, cytokines, and transcription factors produced by the endometrium also assist in the establishment of endometrial receptivity (26, 27).  Impaired endometrial receptivity is considered to be a major limiting factor for the establishment of a pregnancy. Implantation during this time of uterine receptivity is associated with high (85%) success rate for continuing a pregnancy, whereas implantation after cycle day 25 has a much lower success rate (11%) (28).

IMPLANTATION

Pregnancy-related proteins can be found in maternal circulation shortly after fertilization. For example, platelet activating factor (PAF)-like substance, which is produced by the fertilized ovum, is present almost immediately (29-32). After ovulation and fertilization, the embryo remains in the ampullary portion of the fallopian tube for up to 3 days. The embryo undergoes a sequence of cell divisions and differentiation that is not dependent on the hormonal milieu of the fallopian tube or the uterus, as fertilization and early embryonic development occur successfully in vitro. The developing conceptus travels toward the uterus, through the isthmic portion of the tube, for approximately 10 hours, and then enters the uterus as an embryo at the 2- to 8-cell stage (33, 34). With further development, between 3-6 days after fertilization, the embryo becomes a blastocyst floating unattached in the endometrial cavity (34). A schematic representation of the pre-implantation phase of pregnancy is shown in Figure 2. Before implantation, the blastocyst also secretes specific substances that enhance endometrial receptivity. Successful implantation requires precise synchronization between blastocyst development and endometrial maturation. Indeed, there appears to be a cross-talk between the embryo and the endometrium with the endometrium acting as a biosensor that is able to respond favorably to competent embryos but less favorably to incompetent poorly viable embryos destined to fail (35). Ultimately, implantation failure is the result of impaired embryo developmental competence or impaired endometrial receptivity, both having negative effects on the embryo-endometrium cross-talk. It is estimated that embryos account for one third of implantation failures, while suboptimal endometrial receptivity and aberrant embryo-endometrial cross-talk are responsible for the remaining two-thirds (36).

Figure 2. A diagrammatic summary of the ovarian cycle leading to embryo development as it occurs during the first week after fertilization. (Adapted from (37), with permission)

To date, little information exists regarding regulation of steroid production in the embryo. The early embryo and its surrounding cumulus cells secrete detectable estradiol and progesterone well before the time of implantation (38, 39). Mechanical removal of these cells results in the cessation of steroid secretion, while return of the removed cells through co-culture results in restoration of steroid secretion (38). Given this finding, steroid production by the conceptus is thought to be negligible by the time it has reached the endometrial cavity, since it is gradually denuded of cumulus cells as it travels through the fallopian tube.

Conceptus-secreted progesterone may itself affect tubal motility as the conceptus is carried to the uterus (40). Progesterone, by action mediated through catecholamines and prostaglandins (PG), is believed to relax utero-tubal musculature. Moreover, progesterone is thought to be important in tubal-uterine transport of the embryo to the uterine cavity, since receptors for progesterone are found in highest concentrations in the mucosa of the distal one third of the fallopian tube. Estradiol, also secreted by these structures, may balance the progesterone effect so as to maintain the desired level of tubal motility and tone (40). Progesterone antagonizes estrogen-augmented uterine blood flow through depletion of estrogen receptors in the cytoplasm (41). Likewise, estrogen and progesterone also appear to balance one another in the maintenance of blood flow at the implantation site. Both estrogen and progesterone are known to upregulate the expression of multiple angiogenic factors in the uterus, including VEGF, bFGF, PDGF, and TGF-β (42). It is well known that estrogen stimulates an increase in uterine angiogenesis, blood flow and vasodilation by acting both directly on endothelial cells, and/or indirectly on other endometrial cell types via numerous potential promoters (43). In pregnant baboons and sheep, estrogen stimulated uterine and placental blood flow (44). Estrogen treatment significantly increased the paracellular cleft width between endometrial endothelial cells within 6 h considered to result in the increased vascular permeability associated with estrogen administration (45). Unlike estrogen, the angiogenic effects of progesterone in the uterus are believed to occur without concurrent vasodilation (46), as there was no change in endometrial endothelial paracellular cleft width 6 h after progesterone treatment in baboons (45). However, much is still unknown regarding uterine blood flow regulation in pregnancy and how the implanting embryo may influence this process. Human chorionic gonadotropin (hCG) messenger ribonucleic acid (mRNA) is detectable in the blastomeres of 6- to 8-cell embryos; however, it is not detectable in blastocyst culture media until the 6th day (47-49). After implantation is initiated, the embryo is actively secreting hCG, which can be detected in maternal serum as early as the 8th day after ovulation. However, due to the absence of direct vascular communication, secretion of hCG into the maternal circulation is initially limited (50). The primary role of hCG is to prolong the biosynthetic activity of the corpus luteum, which allows continued progesterone production and maintenance of the gestational endometrium. As implantation progresses, the conceptus continues to secrete hCG and other pregnancy-related proteins, and resumes detectable steroid production (38, 39, 51).

Termed trophectoderm (aka outer cell mass), blastomeres lining the periphery of the blastocyst are destined to form the placenta and can be identified at 5 days post-fertilization. The main structural and functional units of the placenta are the chorionic villi, which increase significantly in number during the first trimester of pregnancy. The structure of the chorionic villi is pictured in Figure 3. The villous structure provides a tremendous absorptive surface area to facilitate exchange between the maternal and fetal circulation. The maternal blood arrives from the spiral arteries and circulates through the intervillous space. Fetal blood moves in the core of the chorionic villi within the villous vessels; thus, fetal and maternal blood is never mixed in this system. The key cells inside the chorionic villi are the cytotrophoblasts. They have the ability to proliferate, invade and migrate or to differentiate, through aggregation and fusion, to form a syncytial layer of multi-nucleate cells lining the placental villi, known as the syncytiotrophoblasts.

By 10 days post-fertilization, 2 distinct layers of invading trophoblasts have formed. The inner layer, the cytotrophoblasts, is composed of individual, well-defined and rapidly dividing cells. The outer layer, the syncytiotrophoblasts, is a thicker layer comprised of a continuous cell mass lacking distinct cell borders. Syncytiotrophoblasts line the fetal side of the intervillous space opposite the decidualized endometrium of the maternal side. Immunohistochemically, cytotrophoblasts stain for hypothalamic-like protein hormones: gonadotropin releasing hormone (GnRH), corticotrophin releasing hormone (CRH), and thyrotropin releasing hormone (TRH) (52-64). Juxtaposed syncytotrophoblasts stain immunohistochemically for the corresponding pituitary-like peptide hormones: human chorionic gonadotropin (hCG; analogous to pituitary luteinizing hormone, LH), adrenocorticotropic hormone (ACTH) and human chorionic thyrotropin (hCT). Anatomically, this arrangement suggests that these 2 layers mirror the paracrine relationship of the hypothalamic-pituitary axis (52-64).

Syncytiotrophoblasts, the principal site of placental steroid and protein hormone biosynthesis, have a large surface area and line the intervillous space which exposes them directly to maternal bloodstream without the vascular endothelium and basement membrane which separates them from the fetal circulation (Figure 3-5). This anatomic arrangement explains why placental proteins are secreted almost exclusively into the maternal circulation in concentrations much higher than those in the fetus (65). The syncytiotrophoblast layer contains the abundant subcellular machinery characteristic of cells primarily responsible for hormone synthesis. Amino acids of maternal origin are assembled into pro-hormones. Pro-hormones are then packaged into early secretory granules and transferred across the trophoblastic cell membranes as mature granules. Mature granules become soluble as circulating hormones in maternal blood as they pass through the intervillous space (65).

Figure 3. A. A depiction of a blastocyst implanting in the uterus. B. A longitudinal section of a chorionic villus at the feto-maternal interface at about 10 weeks' gestation. The villous serves as a bridge between maternal and fetal compartments. C. Human placental ultra-structure seen in cross section. Syncytiotrophoblasts line the fetal surface of the intervillous space and interact with the maternal blood supply to secrete placental hormones directly into the circulation. Decidua lines the maternal surface of the intervillous space and secretes protein hormones. (From (66), with permission)

DECIDUA AND DECIDUAL HORMONES

The decidua is the endometrium of pregnancy. Decidualized endometrium is a site of maternal steroid and protein biosynthesis that relates directly to the maintenance and protection of the pregnancy from immunologic rejection. For instance, decidual tissue secretes cortisol, and in combination with hCG and progesterone secreted by the conceptus, cortisol produced by the decidua acts to suppress the maternal immune response conferring the immunologic privilege required by the implanting conceptus (67, 68).

Decidual Prolactin

Decidual prolactin is a peptide hormone having chemical and biological properties identical to pituitary prolactin (69). Prolactin, derived from decidualized endometrium, is first detectable in the endometrium at a time corresponding to implantation-cycle day 23. Progesterone is known to induce decidual prolactin secretion (70). Scant decidual prolactin enters the fetal or maternal circulation after it is transported across the fetal membranes from the adherent decidua and is released into the amniotic fluid (71). Unaffected by bromocriptine administration, decidual production of prolactin takes place independent of dopaminergic control (69).

Decidual prolactin secretion rises in parallel with the gradual rise in maternal serum prolactin seen until 10 weeks’ gestation, then it rises rapidly until 20 weeks, and falls as term approaches (72). Decidua-derived prolactin serves to regulate fluid and electrolyte flux through fetal membranes by reducing permeability of the amnion in the fetal-to-maternal direction (69-71, 73-77). Circulating prolactin in the fetus is secreted by the fetal pituitary gland, while prolactin found in the maternal circulation is secreted by the maternal pituitary gland under the influence of estrogens.  Unlike decidual prolactin, these circulating levels are both suppressed by maternal ingestion of bromocriptine.

Decidual Insulin-like Growth Factor Binding Protein-1 (IGFBP-1)

IGF binding protein-1 (IGFBP-1) is a peptide hormone that originates from decidual stromal cells. In non-pregnant women, circulating IGFBP-1 does not change during cycling of the endometrium, while IGFBP-3 is the main circulating IGFBP. During pregnancy, however, there is a several-fold increase in serum IGFBP-1 levels that begins during the first trimester, peaks during the second trimester, and falls briefly only to peak a second time before term (78). IGFBP-1 inhibits the binding of insulin-like growth factor (IGF) to receptors in the decidua and inhibits fetal growth. Newborn birth weight correlates directly with maternal IGF-1 levels, and inversely with circulating IGFBP-1 levels (79).  

Progesterone-Associated Endometrial Protein (PAEP)

Previously known as pregnancy protein-14, PAEP is a glycoprotein hormone synthesized by secretory and decidualized endometrium that is detectable around cycle day 24 (80). In serum, it rises sharply around cycle day 22 to 24, reaching its peak value at the onset of menstruation; if pregnancy occurs, levels remain high (81). In pregnancy, PAEP rises in parallel with hCG (78). Like hCG, PAEP is thought to have immunosuppressant properties in pregnancy (80). PAEP levels are often low in those patients with conditions, such as ectopic pregnancy, in which there is little decidual tissue produced (82).

PROLONGATION OF CORPUS LUTEUM FUNCTION

Primary steroid products of the corpus luteum are progesterone, 17β-progesterone, estradiol and androstenedione. Low-density lipoprotein (LDL) cholesterol is the main precursor responsible for corpus luteum progesterone production (83). Between 6- and 7-weeks’ gestation, corpus luteum function naturally begins to decline. During this luteal-placental transition period, production of progesterone shifts to the developing placenta (Figure 4).

Pulsatile pituitary LH secretion in the early luteal phase followed by hCG secreted from the implanting conceptus act to stimulate progesterone production from the corpus luteum. Removal of the corpus luteum before 6 weeks of gestation increases the risk of abortion (67a). Thus, regarding early pregnancy, progesterone is considered the most important steroid product in this group because progesterone alone can maintain a pregnancy that would otherwise abort in a lutectomized woman (84). For example, exogenous progesterone, given to an agonadal woman pregnant through egg-donor in vitro fertilization (IVF), maintains the pregnancy through the first trimester until placental progesterone secretion is established (85). For this reason, in patients with corpus luteum dysfunction or in whom the corpus luteum has been removed surgically, supplementation with exogenous progesterone is frequently initiated and extended beyond approximately 10 weeks of gestation, the critical period of the luteal-placental shift.

Figure 4. A shift in progesterone production from the corpus luteum to the placenta occurs at approximately the 7th to 9th week of gestation. The small, shaded area represents the estimated duration of this functional transition. (From (86), with permission)

In women with first-trimester threatened abortion, progesterone concentrations at the time of initial evaluation are often predictive of ultimate outcome (87). Abortion will occur in approximately 80% of those with progesterone concentrations under 10 ng/mL; viable pregnancies are virtually never observed at concentrations of <5.0 ng/mL (88).

Corpus Luteum Relaxin

Relaxin is a peptide hormone produced by the corpus luteum, and not detected in non-pregnant women or men.  Although it is argued that the corpus luteum is the sole source of relaxin in pregnancy, it has also been identified in the placenta, decidua and chorion (89-91). The maternal serum concentrations of relaxin rise during the first trimester, when the corpus luteum is dominant, and decline in the second trimester. Interestingly, when women with a normal pregnancy were compared with pregnant women using egg donor (therefore, no corpus luteum), relaxin was only identified in the women with a pregnancy derived from her own eggs.  However, the duration of pregnancy and labor outcomes were not different between the two groups (92).  The presence of relaxin suggests that it may play a role in early pregnancy, but its function is still unclear. 

In animals, relaxin softens (ripens) the cervix, inhibits uterine contractions, and relaxes the pubic symphysis (93).  These changes are similar to those seen during human labor.  Additionally, in vitro studies of human cervical stromal cells have shown that relaxin induces changes consistent with cervical ripening (94, 95).  Human relaxin primarily binds to relaxin receptors in the decidua and chorionic cytotrophoblasts (96).  Relaxin, originating in the decidua and binding to its receptors in the fetal membranes, increases cytokine levels that can activate matrix metalloproteinases and lead to rupture of fetal membranes and labor (97). Thus, relaxin may play a facilitatory role in labor, however its role is still not clearly defined.  

PLACENTAL COMPARTMENT

Unique to mammals, the placenta plays a major role in balancing fetal growth and development with maternal homeostasis. The fetus develops in an environment where respiration, alimentation and excretory functions are provided by the placenta. The human placenta is hemochorial, which means the chorion is in direct contact with maternal blood. Cyto- and syncytiotrophoblast cells of the placenta have direct access to the maternal circulation.  In contrast, the trophoblast layer prevents most maternal hormones from entering the fetal compartment, and consequently the fetal/placental endocrine system generally develops and functions independently of that of the mother.  Over time, the placenta has evolved as a system through which viviparity or livebirth could take place with dependable success.

The placenta functions, to some extent, as a hypothalamic-pituitary-end organ-like entity owing to the inherent ability of this type of system, with its stimulatory and inhibitory feedback mechanisms, to dynamically regulate factors that affect fetal growth and development under a variety of conditions. In the fully developed hypothalamic-pituitary-end organ schema of humans, neural inputs to the hypothalamus serve to regulate the secretion of hypothalamic releasing hormone peptides. However, in the placenta there are no such direct neural inputs, and the exact mechanism(s) responsible for regulation of the secretion of hypothalamic-like placental peptides is unknown.

Changes in maternal hormone concentrations play a critical role in modulating the metabolic and immunologic changes required for successful outcome in pregnancy. The fetus and placenta produce and secrete steroids and peptides into the maternal circulation as well as stimulate maternal hormone production. The origins and amounts of the fetal and placental hormones secreted during pregnancy changes dramatically over the course of the gestational period. Some of the pregnancy-related protein hormones previously discussed are, in part, responsible for the altered steroid concentrations typical of pregnancy.

Placental Steroid Hormones

The placenta is a site of active steroidogenesis which depends on highly integrated and active interactions with both mother and fetus. This is consequent to an elegant complementary of enzymatic deficiencies between placental and fetal compartments (Table 1). The placenta is characterized by significant aromatase, sulfatase, and 11b-hydroxysteroid dehydrogenase type 2 activities juxtaposed with a lack of P450C17 (17a-hydroxylase and 17/20 lyase) activity.

Table 1. Enzymatic Limitations by Compartment

Fetal

Placental

3b-hydroxysteroid dehydrogenase

17a-hydroxylase

 

StAR protein

17/20 lyase

16α-hydroxylase

PLACENTAL PROGESTERONE

The placenta is the main source of progesterone during pregnancy. From the luteal phase to term, maternal progesterone levels rise six- to eight-fold. (Figures 5 and 8) Although, progesterone originates almost entirely from the corpus luteum before 6 weeks' gestational age, its production shifts more to the placenta after the 7th week. Beyond 10 weeks, the placenta is the major definitive source of progesterone (51, 98).

While the placenta produces large amounts of progesterone, it has a limited capacity to synthesize cholesterol de novo (Figure 7). Maternal cholesterol enters the trophoblasts in the form of low-density lipoprotein (LDL) cholesterol which serves as the principal precursor for the biosynthesis of progesterone by the placenta (51, 83, 99). The fetal contribution of progesterone is negligible. This is evident as progesterone levels remain high even after fetal demise.  In the non-human primate estrogen regulates placental progesterone production (100). Progesterone concentrations are less than 1 ng/mL during the follicular phase of the normal menstrual cycle (101, 102). However, in the luteal phase of cycles in which fertilization occurs, progesterone concentrations rise from about 1-2 ng/mL on the day of the LH surge to a plateau of approximately 10-35 ng/mL over the subsequent 7 days. Concentrations remain within this luteal-phase range from the 10th week from the last menstrual flow, and then show a sustained rise that continues until term (Figure 5). At term, progesterone concentrations can range from 100-300 ng/mL (51). Most of the progesterone produced in the placenta enters the maternal circulation.

Figure 5. Relative values of circulating concentrations (mean ±SEM) of progesterone and 17α-progesterone during the course of human pregnancy from fertilization to term. The data displayed demonstrates values before and after the luteinizing hormone (LH) surge. Gestational ages are calculated from last menstrual flow. (Adapted from (103), with permission)

The human deciduas and fetal membranes also synthesize and metabolize progesterone (104).  In this case, neither cholesterol nor LDL-cholesterol are significant substrates; pregnenolone sulfate may be the most important precursor.  Progesterone has been shown to exert important functions in implantation and parturition to include promotion of endometrial decidualization; inhibition of smooth muscle contractility; decrease in prostaglandin (PG) formation, which helps maintain myometrial quiescence and prevent the onset of uterine contractions; and inhibition of immune responses like those involved in graft rejection. It is believed to work in concert with hCG and decidual cortisol to inhibit T-lymphocyte-mediated tissue rejection and confer immunologic privilege to the implanted conceptus and developing placenta (105, 106). In animal models, progesterone extends the survival of transplanted human trophoblasts, and high intervillous concentrations of progesterone are of major importance in blocking the cellular immune rejection of the foreign antigens originating from the pregnancy (106).

In addition to its roles in endometrial and myometrial function, progesterone also serves as a substrate for fetal adrenal gland production of glucocorticoids (cortisol) and mineralocorticoids (aldosterone) (107). This important function is consequent to the deficiency of 3b-hydroxysteroid dehydrogenase (3b-HSD) activity in the active fetal zone of the fetal adrenal gland.

PLACENTAL 17α-HYDROXYPROGESTERONE

Like progesterone, during the first several weeks of gestation and through the time of the luteal-placental shift, 17α-hydroxyprogesterone concentrations primarily reflect the steroidogenic status of the corpus luteum (108). However, by the tenth week of gestation, 17 α-hydroxyprogesterone has returned to baseline levels, indicating that the placenta has little 17 α-hydroxylase activity.  During the third trimester the placenta uses fetal D5-sulfoconjugated precursors to secrete increasing amounts of 17α-hydroxyprogesterone, and at this point the placenta becomes the major source of this hormone at term (108).

Concentrations of 17α-hydroxyprogesterone are less than 0.5 ng/mL during the follicular phase of normal menstrual cycles. In cycles leading to pregnancy, 17α-hydroxyprogesterone concentrations rise to about 1 ng/ml on the day of the LH surge, decline slightly for about 1 day, and rise again over the subsequent 4-5 days reaching a level of 1-2 ng/ml. Concentrations then increase slightly to a mean of approximately 2 ng/ml (luteal phase levels) by the end of the 12th week. This level remains stable until a gestational age of about 32 weeks at which time it begins an abrupt, sustained rise at about 37 weeks to approximately 7 ng/ml, a level that persists until term (108) (Figures 5 and 8). The rise in 17α-hydroxyprogesterone that begins at 32 weeks strongly correlates with the fetal maturational processes known to begin at this time. Hence, 17α-hydroxyprogesterone concentration exhibits a bimodal pattern in normal pregnancy.

PLACENTAL 17β-ESTRADIOL

The corpus luteum is the exclusive source of 17β-estradiol during the first 5-6 weeks of gestation. After the first trimester, the placenta is the major source of circulating 17β-estradiol (51). The rate of estrogen production and the level of circulating estrogens increase markedly during pregnancy. Concentrations of 17β-estradiol are less than 0.1 ng/mL during the follicular phase of the cycle and reach about 0.4 ng/mL during the luteal phase of normal menstrual cycles (101). Following fertilization, 17β-estradiol increases gradually to a range of 6-30 ng/mL at term (102) (Figures 6 and 8). Because it is deficient in 17-hydroxylase enzyme activity and 17-20 desmolase (lyase) activity, the placenta is unable to convert progestogens to estrogens. Thus, the placenta relies on 19-carbon androgen precursors produced by the fetal and maternal adrenal glands. Sources of estrogen biosynthesis by the maternal-fetal-placental unit are depicted in Figure 8. The major source of fetal adrenal dihydroepiandrostenediene sulfate (DHEAS) is LDL-cholesterol circulating in the fetal blood. A minor source of fetal adrenal DHEAS is derived from pregnenolone secreted by the placenta. Twenty percent of fetal cholesterol is derived from the maternal compartment. Since amniotic fluid cholesterol levels are negligible, the main source of cholesterol is the fetal liver. As gestation advances, increasing quantities of 17β-estradiol are synthesized from the conversion of circulating maternal and fetal DHEAS by the placenta. At term, approximately equal amounts of estrogens are produced from circulating maternal DHEAS and fetal DHEAS (51, 109). The fetal endocrine system is notable for extensive conjugation of steroids with sulfate. Consequently, the placenta relies on sulfatase activity to cleave sulfate conjugates in the fetal compartment. Naturally occurring placental sulfatase deficiency results in a low estrogen state in pregnancy (110).

The cytochrome P450 aromatase enzyme is responsible for converting 19-carbon precursors to estrogen (111). The efficiency of this enzyme affords the fetus protection from virilization even in the presence of large amounts of aromatizable androgens.

Figure 6. Relative values of circulating concentrations (mean ±SEM) of 17β-estradiol, estriol and estrone during the course of human pregnancy from fertilization to term. Data displayed demonstrate values before and after the luteinizing hormone (LH) surge. Gestational ages are calculated from last menstrual flow. (Adapted from (112), with permission)

The vasodilatory function of estrogens in pregnancy are well described. In animal models, direct estrogen injection into the uterine arteries produces striking increases in blood flow. Without question, 17β-estradiol is the most potent estrogen in this role. Estriol and estrone, though less active, also produce this effect (113). Because the exposure of the utero-placental bed to direct estriol secretion is enormous, estriol may be the principal up-regulator of uterine blood flow. This may be the dominant role of estriol in human pregnancy (113). Estrogen regulated mechanisms may also allow the fetus to govern production and secretion of progesterone during the third trimester. In primates, estrogen regulates the biosynthesis of placental progesterone by regulating the availability of LDL-cholesterol for conversion to pregnenolone and its downstream steroid products (114). Estrogens are also thought to contribute to mammary gland development and fetal adrenal gland function.

PLACENTAL ESTRADIOL

Estriol is first detectable in maternal serum at 9 weeks of gestation (51, 109, 115, 116). This temporal relationship closely corresponds to the early stages of steroidogenic maturation in the fetal adrenal cortex (51). Hence, the continued production of estriol is dependent upon the presence of a living fetus. Concentrations of estriol are less than 0.01 ng/ml in non-pregnant women. First detectable at approximately 0.05 ng/ml by 9 weeks, estriol increases gradually to a range of approximately 10-30 ng/ml at term (51, 98, 115, 117). Between 35- and 40-weeks gestational age, estriol concentrations increase sharply in a pattern that reflects a final surge of intrauterine steroidogenesis just prior to term (Figures 6 and 8).

Figure 7. Synthesis of estrogen and progesterone within and between the maternal, placental and fetal compartments. (Adapted from (118), with permission)

The placenta lacks 16a-hydroxylase activity and consequently, estriol with its 16a-hydroxyl group, must be synthesized from an immediate fetal precursor. The fetal liver provides 16a-hydroxylation of DHEAS for placental estriol synthesis. Interestingly, hepatic 16a-hydroxylation activity disappears postnatally.

Figure 8. Circulating maternal steroid hormone levels throughout early pregnancy. The first-trimester relationship of these steroid hormones to human chorionic gonadotropin (hCG) is shown.

Progestogens
Progesterone o--o--o-
17-a-hydroxyprogesterone -Δ-Δ-Δ-

Estrogens
17-
β-estradiol ---
Estriol -o-o-o-
Estrone -x-x-x-

Human chorionic gonadotropin (hCG)
-Δ-Δ-Δ- 
(From ref. 89, with permission)

PLACENTAL ESTRONE

For the first 4-6 weeks of pregnancy, estrone originates primarily from maternal sources such as the ovaries, adrenals, or peripheral conversion (102). Later, the placenta secretes increasing quantities of estrone from the conversion of circulating maternal and fetal DHEAS. The placenta continues to be the major source of circulating estrone for the remainder of the pregnancy (51). Estrone concentrations are less than 0.1 ng/mL during the follicular phase and may reach a maximum of 0.3 ng/mL during the luteal phase of a normal menstrual cycle. Following fertilization, estrone concentrations remain within the luteal phase range through weeks 6-10 of gestation (98). Subsequently there is a gradual increase to a wide range of 2-30 ng/ml at term (51, 98, 102) (Figures 6 and 8). In the absence of fetal adrenal gland function, as in the case of anencephaly, maternal estrogen levels are extremely low, suggesting that the maternal contribution of DHEAS to total estrogen synthesis is negligible.

Placental Protein Hormones

As detailed previously, the placental cytotrophoblast-syncytiotrophoblast relationship mirrors the hypothalamic-pituitary system. The surface of the syncytiotrophoblast is in direct contact with maternal blood within the intervillous space, and consequently, placental proteins are preferentially secreted into the maternal compartment. Table 2 outlines the various peptides associated with the endocrinology of human pregnancy.

Table 2. Pregnancy Specific Protein Hormones by Compartment

Fetal

Placental

Maternal

Alpha-fetoprotein

Hypothalamic-like (cytotrophoblast)         

- GnRH                                                

- CRH                                     

- TRH                                     

- GHRH                                  

- Somatostatin           

Pituitary-like (syncytiotrophoblast)           

- hCG

- hGH

- ACTH

- hPL

- hCT                                      

- Oxytocin

Growth factors

- Inhibin

- Activin                                              

- IGF-I/IGF-II

Other proteins

- Pregnancy specific β1-glycoprotein

- PAPP-A

Decidual derived

-Prolactin

-IGFBP-1

-PP14

Corpus luteum derived

-Relaxin

PLACENTAL PROTEINS: HYPOTHALAMIC-LIKE PROTEINS

Placental Gonadotropin Releasing Hormone (GnRH)

Gonadotropin releasing hormone derived from the placenta is biologically and immunologically similar to the hypothalamic decapeptide GnRH (54). Gonadotropin releasing hormone activity has been localized to the cytotrophoblast cells along the outer surface of the syncytiocytotrophoblast layer. Human chorionic gonadotropin (hCG) has been localized to the adjacent syncytiocytotrophoblast layer. GnRH production peaks at about 8 weeks’ gestation and then decreases as the pregnancy advances in gestational age (54-57). Furthermore, GnRH levels parallel those of hCG in both the placenta and maternal circulation (57).

Placental GnRH stimulates hCG release through a dose-dependent, paracrine mechanism (119). There is little augmentation of hCG secretion by GnRH in first trimester placental culture, because hCG production is already close to maximum (57). In contrast, at mid-trimester there is a marked dose-dependent GnRH augmentation of hCG release in vitro, with this effect diminishing in the term placenta. Likely due to the low affinity of placental GnRH receptors and dilution effect of the maternal circulation, intravenous administration of GnRH during pregnancy does not increase serum hCG. Thus, it seems most likely that locally produced placental GnRH is responsible for stimulation of placental hCG production via paracrine mechanisms (119). GnRH release is increased by estrogen, activin-A, insulin and prostaglandins, and inhibited by progesterone, inhibin, follistatin and endogenous opiates (120).

Placental Corticotrophin Releasing Hormone (CRH)


Placental CRH is structurally similar to the hypothalamic peptide, CRH (121, 122). Due to this similarity, it is easily measured in amniotic fluid as well as fetal and maternal plasma. Pro-CRH mRNA is present in cytotrophoblasts (123). CRH is also intensely immunoreactive in the decidua (53). CRH is found in maternal serum at low levels during the first and second trimesters of uncomplicated pregnancies, but rises dramatically in the third trimester of normal gestations or earlier if there are pregnancy complications resulting from such factors as prematurity, diabetes, or hypertension.(124). The highest levels of CRH are found at labor and delivery. Although concentrations of CRH in fetal plasma are lower than those found in maternal plasma, there exists a significant correlation between maternal and fetal plasma CRH (124). There is a 3-fold rise, in amniotic fluid CRH between the second and third trimester (124, 125). Placenta-derived CRH stimulates placental ACTH release in a dose-dependent manner in vitro (126, 127). Corticotrophin releasing hormone and ACTH are both released into fetal and maternal circulation; their activity is moderated by maternal CRH binding proteins (124).

Placental CRH participates in the surge of fetal glucocorticoids associated with late third trimester fetal maturation (124, 126, 128). When uterine blood flow is restricted, secretion of both CRH and ACTH is increased. Corticotrophin releasing hormone is a potent utero-placental vasodilator (129, 130). Corticotrophin releasing hormone is released into the fetal circulation in response to fetal stress and in conditions leading to fetal growth restriction (131-133). High circulating maternal CRH is believed to be responsible for the elevated plasma ACTH and cortisol found in pregnancy, which renders them unresponsive to feedback suppression of plasma cortisol (124-126, 128, 134). Corticotrophin releasing hormone stimulates prostaglandin synthesis in fetal membranes and placenta. In pre-eclampsia, fetal asphyxia, premature labor, and other conditions leading to fetal growth restriction CRH is frequently elevated (131-133).

Placental Thyrotropin Releasing Hormone

Thyrotropin releasing hormone is found in the cytotrophoblast layer; however, this molecule is different from the tripeptide produced by the hypothalamus (135). It is localized primarily in the syncytiotrophoblast but also in the fetal and maternal blood vessels as well as in the extravillous trophoblast. The concentration of TRH is higher in the fetal circulation, which is likely due rapid protease degradation on the maternal side (136). Since hCG is regarded as the principal placenta-derived thyroid stimulator, a significant role for TRH is uncertain, although it may be involved in thyroid function regulation during fetal life (137).

Placental Growth Hormone Releasing Hormone (GHRH)

GHRH has also been identified in the human placenta, but its cellular localization and function are unknown (126). Its structure is identical to that of the hypothalamic GHRH peptide. The levels of placental GHRH do not contribute to maternal circulating levels of the extra villous the presence of GHRH receptor in the placenta GHRH does not regulate placental growth hormone production. 

Somatostatin (SRIF)  

Somatostatin (SRIF) is a peptide that exerts a variety of regulatory actions interacting with G protein-coupled receptors. Placental somatostatin has been found in early pregnancy villi, cytotrophoblast and in the decidua; while its binding sites have been identified in term placental membranes and cytotrophoblast (64, 138, 139). The amount of placental somatostatin decreases with increasing gestation and it does not contribute to maternal circulating levels of the peptide.  The role of placental somatostatin remains unclear.

PLACENTAL PROTEINS: PITUITARY-LIKE HORMONES

Placental Human Chrorionic Gonadotropin (hCG)

Human chorionic gonadotropin is a glycoprotein structurally similar to follicle stimulating hormone (FSH), luteinizing hormone (LH), and thyroid stimulating hormone (TSH). It is similar to luteinizing hormone (LH) in action. As is true of the other glycoprotein hormones, hCG is composed of 2 non-identical subunits that associate non-covalently (52, 140). The α subunit consists of an amino acid sequence essentially identical to and shared with the other pituitary glycoprotein hormones. On the other hand, the β subunit is structurally similar to the α subunit yet it differs enough to confer specific biologic activity on the intact dimeric hormone. The subunits differ primarily at the carboxyl terminus where the β subunit of hCG has a 30-amino-acid tailpiece that is not present in the human LH β subunit. Glycosylation in this region of HCG accounts for the longer half-life (32-37 hours) of hCG relative to LH (24h vs. 2h, respectively). The molecular weight of the hCG dimer is estimated at 36.7 kDa with the α subunit contributing 14.5 kDa and the β subunit 22.2 kDa (140). The hCG α subunit is found in the cytotrophoblast layer only (57, 60).

As mentioned previously, hCG mRNA is detectable in embryos as early as the 6- to 8-cell stage (47). After implantation of the conceptus, hCG is detectable in the syncytiotrophoblast layer (outer trophectoderm layer) (57, 60-62). Human chorionic gonadotropin is secreted by the syncytiotrophoblasts of the placenta into both the fetal and maternal circulation. Plasma levels increase, doubling in concentration every 2-3 days between 60 and 90 days of gestation. At 3-4 weeks' gestation, the mean doubling time of dimeric hCG is 2.0 ±1.0 days and increases to about 3.5 ±1.5 days at 9-10 weeks (57). The average peak hCG level is approximately 110,000 mIU/mL and occurs at 10 weeks’ gestation (57). Between 12 and 16 weeks, average hCG decreases rapidly with the concentration halving every 2.5 ±1.0 days before reaching 25% of first trimester peak values. Levels continue to fall from 16 to 22 weeks at a slower rate (mean halving rate of 4.0 ±2.0 days) to become approximately 10% of peak first trimester values (57). During the third trimester mean hCG levels rise in gradual, yet significant, manner from 22 weeks until term (57). Interestingly, hCG levels are comparatively higher in women bearing female fetuses.

Human chorionic gonadotropin secretion is related directly to the mass of hCG-secreting trophoblastic tissues. In vivo, the release of hCG has been correlated with the widths of trophoblast tissue from 4 to 20 weeks and with placental weight from 20 to 38 weeks, respectively (57). The rapidly rising hCG seen between 3-4 and 9-10 weeks’ gestation coincides with the proliferation of immature trophoblastic villi and the extent of the syncytial layer (57). As expected, declining hCG levels are associated with a relative reduction in the mass of the syncytiotrophoblast and cytotrophoblast tissue. From 20-22 weeks until term a gradual increase in dimeric hCG corresponds with a similar increase in placental weight and villus volume (57).

Thus, in early gestation rising hCG levels reflect the histological finding of a rapidly proliferating and increasingly invasive placenta. Later in pregnancy, declining hCG levels are associated with a relative reduction in the number and mass of trophoblasts; therefore, hCG levels mirror the placenta's morphologic transformation from an organ of invasion to an organ of transfer (57).

Levels of the β subunit of hCG mirror those of dimeric hCG. The α subunit, undetectable until around 6 weeks' gestation, rises in a sigmoid fashion to reach peak levels at 36 weeks. Levels of the individual subunits are very low relative to dimeric hCG; they are approximately 2,000-fold to 150-fold less than dimeric forms at 6 and 35 weeks, respectively) (57).

With respect to the regulation of hCG production and secretion, hCG secretion appears to be related to placental GnRH release (119). In vitro, hCG is released in pulses at a frequency and amplitude that correlate with the release of placental GnRH (119). In addition, hCG production is stimulated by glucocorticoids and suppressed by DHEAS (126). In vitro, cyclic AMP (cAMP) analogues augment hCG secretion. In humans, similar to pituitary secretion of gonadotropins, decidual inhibin and prolactin inhibit hCG production by term trophoblasts whereas decidua-derived activin augments it (140, 141), with stimulation by estrogen and a negative feedback by progesterone.

Human chorionic gonadotropin, the primary luteotropic factor involved in supporting and maintaining the corpus luteum, ensures the continuous secretion of progesterone until the placenta can perform this function (142). It has immunosuppressive properties, likely involving maternal T-lymphocyte function and it possesses thyrotropic activity (143). Human chorionic gonadotropin may stimulate steroidogenesis in the early fetal testes resulting in virilization and sexual differentiation in males (144, 145). The functions of hCG are summarized in Figure 9.

Figure 9. The physiological roles of human chorionic gonadotropin (hCG) during the course of human pregnancy from fertilization to term. (Adapted from (146), with permission)

Placental Growth Hormone (GH)

Growth hormone is a single-chain peptide hormone structurally related to prolactin and human chorionic somatomammotropin (hCS). Up to the first 15-20 weeks of pregnancy, pituitary growth hormone (GH) is the main form present in the maternal circulation. From 15-20 weeks to term, placental GH gradually replaces pituitary GH, which eventually becomes undetectable (147-151). In contrast to the pulsatile output of pituitary GH, the daily profile of placental GH release is non-pulsatile (150). Syncytiotrophoblasts directly bathing in maternal blood are the site of placental GH synthesis. This cell layer is the placental site of the major glucose transporter, Glut1, and responds to rapid variations in maternal blood glucose levels by modifying placental GH secretion (152, 153).

The rate of secretion of pituitary GH is known to change rapidly, depending on the net result of multiple stimulatory and inhibitory input. The regulation of placental GH is quite different. The rate of synthesis of placental GH, and thus the maternal circulating levels, increases with the growth of the placenta (154). Growth hormone releasing hormone (GHRH) does not modulate placental GH expression in vitro, in vivo, or in the presence of glucose (155, 156). Figure 10 shows both the stimulatory and inhibitory mediators of maternal pituitary GH output, including the influence of placental growth hormone.

Production of maternal insulin-like growth factor-1 (IGF-I) is regulated by placental growth hormone. IGF-1 concentrations in the maternal plasma, studied in a large number of pregnancies, correlate with the corresponding placental GH. The IGF-1 levels do not vary significantly during the first weeks of gestation, but then increase gradually from 165 ±44.5 mg/L at about 24-25 weeks' gestation, and reach levels of 330.5 ±63.5 mg/L in a manner similar to the increases seen in placental GH. It should be noted that circulating maternal IGF-I levels also reflect placental IGF-I secretion. This growth factor, however, does not appear to be strongly expressed in human placenta; in particular; it is not expressed in the syncytiotrophoblast cell layer (157).

The biologic activities of GH and related peptide hormones can be classified into two general categories: somatogenic and lactogenic. Somatogenic activities are related to linear bone growth and alterations in carbohydrate metabolism (158, 159). The primary function of GH is to protect nutrient availability for the fetus. Via local and hepatic IGF-1, placental GH stimulates gluconeogenesis and lipolysis in the maternal compartment.

Figure 10. Shown is a representation of the hypothalamic-growth hormone-IGF-I axis, with details of its modification during pregnancy. A. In the non-pregnant state, pituitary GH secretion is regulated through hypothalamic control. Pituitary GH regulates the secretion of IGF-I, which, in turn, exerts negative feedback action on GH at the hypothalamic-pituitary level. B. During the latter half of pregnancy, the GH-IGF axis is inhibited by large amounts of estrogen. The large increase in placental GH exerts an inhibitory effect on GH secretion mediated by placental GH on the hypothalamus and pituitary. (From (160), with permission)

Placental Human Placental Lactogen (hPL), [Human Chorionic Somatomammotropin (hCS)]

Human placental lactogen is a single-chain polypeptide with two intramolecular disulfide bridges. The structures of hPL, prolactin, and growth hormone are very similar. Eighty-five percent of its amino acids are identical to human pituitary growth hormone and human pituitary prolactin (69, 161). Furthermore, hPL shares biologic properties with both growth hormone and prolactin (69, 161). Thus, it has primarily lactogenic activity but also exhibits some growth hormone-like activity; therefore, it is also referred to as chorionic growth hormone (hCGH) or human chorionic somatomammotropin (hCS). Human placental lactogen is secreted from the syncytiotrophoblast cell layer. Unlike hCG concentrations, levels of hPL rise with advancing gestational age and plateau at term. Human placental lactogen is first detectable during the fifth week of gestation, and rises throughout pregnancy maintaining a constant hormone weight to placenta weight relationship (162). Concentrations reach their highest levels during the third trimester, rising from approximately 3.5 µg/mL to 25 µg/mL at term (162). Although the level of hPL in serum at term is the highest of all placenta-derived protein hormones, its clearance from the circulation is so rapid that it cannot be detected after the first post-partum day.

Since hPL is secreted primarily into the maternal circulation, most of its functions occur at sites of action in maternal tissues. Human placental lactogen is thought to be responsible for the marked rise in maternal plasma IGF-1 concentrations as the pregnancy approaches term (162-164). Human placental lactogen exerts metabolic effects during pregnancy via IGF-I. It is associated with insulin resistance, enhances insulin secretion which stimulates lipolysis, increases circulating free fatty acids, and inhibits gluconeogenesis; in effect, it antagonizes insulin action, induces glucose intolerance, as well as lipolysis and proteolysis in the maternal system (69). In response to fasting and glucose loading, hPL levels rise and fall (162). These metabolic effects favor the transport of ketones and glucose to the fetus in the fasting and fed states, respectively.

Circulating levels of glucose and amino acids are reduced, while levels of free fatty acids, ketones, and triglycerides are increased. The secretion of insulin is augmented in response to a glucose load. The fuel requirements of the developing fetus are met primarily by glucose. It provides the energy needed for protein synthesis and serves as a precursor for the fat synthesis and glycogen formation. Fetal blood glucose levels are generally 10-20 mg/100 ml below those of the maternal circulation; thus, diffusion and facilitated transport favor the net movement of glucose from mother to fetus.

Pregnancy is associated with profound alterations in maternal metabolism. The fetal-maternal relationship favors glucose use by the fetus and forces the maternal tissues to increase their use of alternative energy sources. The endocrine hallmark of this hormonal environment is insulin resistance. Several hormones prevalent during pregnancy are believed to responsible for this altered milieu: estrogens, progesterone, glucocorticoids, human placental lactogen (hPL) and placental GH. Additionally, placental cytokines such as tumor necrosis factor-alpha (TNF-α) contribute to this metabolic state (165).

Placental Adrenocorticotropic Hormone (ACTH)

Placental ACTH is structurally similar to pituitary ACTH (166-178). Under the paracrine influence of placental CRH released from proximal cytotrophoblasts, placental ACTH is secreted by syncytiotrophoblasts into the maternal circulation (179-181). Circulating maternal ACTH is increased above non-pregnancy levels, but still remains within the normal range (182, 183).

Placental ACTH stimulates an increase in circulating maternal free cortisol that is resistant to dexamethasone suppression (179, 182). Thus, relative hypercortisolism in pregnancy occurs despite high-normal ACTH concentrations. This situation is possible due to two main differences in endocrine relationships during pregnancy. First, the maternal response to exogenous CRH is blunted (182). Second, a paradoxical relationship exists between placental CRH, ACTH, and their end-organ product, cortisol; glucocorticoids augment placental CRH and ACTH secretion, not suppress it (127, 180). This positive feedback mechanism allows an increase in glucocorticoid secretion in times of stress in excess of the amount necessary if the mother were not pregnant (127).

Placental Human Chorionic Thyrotropin (hCT)

Human chorionic thyrotropin is structurally similar to pituitary TSH, but it does not possess the common α subunit (135). The placental content of hCT is very small (58). Human chorionic gonadotropin possesses 1/4000th of the thyrotropic activity of TSH, and is thought to exert a more significant effect on the maternal thyroid than does hCT (137), particularly in conditions with high hCG levels such as trophoblastic disease.

PLACENTAL PROTEINS: GROWTH FACTORS  

Placental Inhibin/Activin/Follistatin  

Inhibin and activin are heterodimeric glycoproteins with the former comprised of an α and β subunit and the latter composed of two β subunits.  Inhibin is secreted by the corpus luteum and is present in decidualized endometrium (184, 185). Inhibin and activin dimers have been localized to the syncytiotrophoblast layer, but their individual subunits have been localized to both cytotrophoblasts and syncytiotrophoblasts (186).

Inhibin begins to increase in the maternal circulation above non-pregnant levels by 12 days post-fertilization, dramatically increasing at about 5 weeks' gestation to peak at 8-10 weeks. Subsequently, levels decrease at 12-13 weeks and stabilize until around 30 weeks before they rise again as term approaches (185). The early fluctuations in inhibin levels reflect release from the corpus luteum, whereas the increase seen in the third trimester originates from the placenta and decidua. After delivery, inhibin is undetectable. The inhibin A dimer is the principal bioactive inhibin secreted during pregnancy. Quantification of inhibin A is part of the prenatal quad screen that can be administered during pregnancy at a gestational age of 16–18 weeks. An elevated inhibin A (along with an increased beta-hCG, decreased AFP, and a decreased estriol) is suggestive of the presence of a fetus with Down syndrome.

Activin-A is the major trophoblastic activin product, which similarly increases in maternal circulation throughout pregnancy and peaks at term (187). Interestingly, higher levels of activin-A are found in mid-gestation in women with preeclampsia (188, 189).  Similar to their action in the ovarian follicle, inhibin and activin are regulators within the placenta for the production of GnRH, HCG, and steroids; as expected, activin is stimulatory and inhibin is inhibitory. 

Follistatin is the activin-binding protein expressed in placenta, membranes, and decidua (190). Since follistatin binds activin, it antagonizes the stimulatory effects of activin on placental steroid and peptide production. 

Placental Insulin-Like Growth Factors-I and II (IGF I and II)

Without question, the most important site of IGF-I and IGF-II production is the placenta (191). IGF-I and IGF-II are involved in prenatal growth and development. These growth factors do not cross the placenta into the fetal circulation; however, they may be involved in placental growth (192, 193).  An increase in maternal IGF-I levels during pregnancy with a rapid decrease after delivery indicates a significant placental influence.  There is however, no change in IGF-II levels throughout pregnancy.  In animal studies, the IGF-I produced in the placenta regulates the transfer of nutrients across the placenta to the fetus and thus enhances growth.  Interestingly, neonates with intrauterine growth restriction have reduced levels of IGF-I. IGF-II secreted by the placenta is also important in influencing β cell sensitivity to glucose and modulation of maternal insulin and glucose concentrations during pregnancy (194).

Placental Soluble FMS-Like Tyrosine Kinase (SFLT-1) and Souble Endoglin (sENG)

Soluble Flt-1 is a circulating splice variant of Flt-1, the receptor for VEGF and placental growth factor (PLGF), while sENG is the circulating receptor for transforming growth factor-β (TGF-β). VEGF, PLGF, TGF-β as well as other pro-angiogenic proteins are known to be essential for normal placental and fetal vascular development. Soluble Flt-1 and sENG are almost undetectable in the circulation of non-pregnant individuals, and are produced in large quantities by the placenta leading to marked elevation in their circulating levels during pregnancy which steadily rise until term (195, 196). These two soluble receptors are increased in serum and placentas of preeclamptic women compared to normal pregnancies and their abnormal elevation presages the development of preeclampsia. Experimental evidence indicates that sENG cooperates with sFlt-1 to induce endothelial dysfunction in vitro and preeclampsia in vivo (197). It is thought that sFlt-1 and sENG neutralize their ligands, reducing the concentration of VEGF, PLGF, and TGF-b in maternal circulation, which results in a shift in the angiogenic balance towards anti-angiogenesis, which in turn leads to endothelial damage and the clinical onset of the syndrome. However, large prospective studies have failed to show sufficient accuracy of these biomarkers for clinical utility in preeclampsia prediction (198, 199).

PLACENTAL PEPTIDE HORMONES: OTHER PLACENTAL PEPTIDES

In addition to the pregnancy-related proteins produced analogous to hypothalamic and pituitary glycoproteins, the placenta also produces several other proteins that have no known analogues in the non-pregnant state. These proteins have been isolated and identified from serum drawn during pregnancy or purified from placental tissue. Figure 11 shows the changes in concentration of each of these pregnancy-related proteins throughout gestation.

Placental Pregnancy-Specific b1-Glycoprotein (SP1)

Pregnancy-specific b1-glycoprotein is a glycoprotein hormone that can be detected about 18-23 days after ovulation. It is secreted from trophoblast cells (200, 201). Initially, it exhibits a 2- to 3-day doubling time, reaching peak concentrations between 100-200 ng/mL at term. Pregnancy-specific b1-glycoprotein has immunosuppressive effects on T-lymphocyte proliferation, and is thought to be involved in preventing rejection of the implanting conceptus (202).

Placental Pregnancy-Associated Plasma Protein-A (PAPP-A)

Pregnancy-associated plasma protein-A is the largest of the pregnancy-related glycoproteins. It originates, mainly, from placental syncytiotrophoblasts (203, 204). Pregnancy-associated plasma protein-A can first be detected at approximately 32-33 days after ovulation. With a 3-day doubling time, its levels initially rise rapidly, and then continue to rise more slowly until term (203). Like SP-1 and hCG, PAPP-A is believed to play an immunosuppressive role in pregnancy (204). It has recently gained favor as a clinically useful, first-trimester screening marker for Down syndrome (trisomy 21). Authors have confirmed decreased PAPP-A levels in association with early pregnancy failure (205). However, when compared with serum hCG and progesterone measurements to evaluate the clinical usefulness of PAPP-A values in predicting the outcome of early pregnancy, hCG and progesterone remained the best clinical tools (206).

Placental Protein-5 (PP5)

This glycoprotein is produced by the syncytiotrophoblasts. It is detected beginning at 42 days after ovulation, and steadily rises until term (207). Placental protein-5 has anti-thrombin and anti-plasmin activities, and is believed to be a naturally occurring blood coagulation inhibitor active at the implantation site (208).

Figure 11. Maternal serum concentrations of human chorionic gonadotropin (hCG) and some other pregnancy-associated protein hormones (SP-1, PAPP-A, PP-5) throughout pregnancy. The timing of implantation, missed menses and parturition is shown to demonstrate the temporal relationships. (Modified from (209), with permission)

PLACENTAL METABOLIC PROTEINS  

Placental Leptin  

Leptin is a key regulator of satiety and body mass index (BMI), and its levels are thought to reflect the amount of energy stores and nutritional state (210).  The placenta is the principal source of leptin during pregnancy (211). Most of the leptin produced by the placenta is secreted into the maternal circulation, and as a consequence leptin levels are elevated during pregnancy.  In the first trimester, maternal plasma leptin levels are double nonpregnant values and continue to increase during the second and third trimesters (212-214).  In the second and third trimesters leptin is also expressed in the chorion and amnion (215).  The amount of leptin directed to the fetus is uncertain, and its role in fetal development is also unclear.  Leptin levels decline to normal nonpregnant levels within 24 hours after delivery (216). Interestingly, leptin levels during pregnancy do not correlate with BMI as they do in the nonpregnant state (217).  Although not clear, it is thought that leptin may be utilized by the placenta to modulate maternal metabolism and partition energy supplies to the fetus (218). There is evidence that placental leptin is anti-apoptotic and promotes proliferation, protein synthesis and the expression of tolerogenic maternal response molecules such as HLA-G (219). Placental leptin expression is regulated by hCG, insulin, steroids, hypoxia and many other growth hormones, suggesting that it may have an important endocrine function in trophoblast cells (219). Additionally, the human placenta also expresses leptin receptors, and therefore can act in a paracrine manner to modulate placental function (220, 221).

Placental Ghrelin   

Ghrelin, is a gastric peptide isolated primarily from the stomach which is thought to stimulate GH release and participates in the regulation of energy homeostasis, increasing food intake, decreasing energy output, as well as exert a lipogenetic effect (222).  Ghrelin and its receptors have been isolated in the placenta, clearly indicating a role for ghrelin in reproduction. Circulating ghrelin levels peak at mid-gestation, then with advancing gestational age declining ghrelin levels are observed.  After delivery, near prepregnancy levels of ghrelin are seen (223).  It is thought that ghrelin may well be involved in regulation of energy intake during pregnancy (224), however its exact role is still unknown.

PLACENTAL MATURATION

As pregnancy advances, the relative numbers of trophoblasts increase as feto-maternal exchange begins to dominate the placenta's secretory functions. Later, throughout the second and third trimester, the placenta adapts its structure to reflect its function such that near term, the villi consist mainly of fetal capillaries with sparse supporting stroma beyond that which is required to maintain its anatomic integrity. In contrast to the early placental villus where trophoblasts are abundant as part of a continuous layer of basal cytotrophoblasts, the term placenta's membranous interface between the fetal and maternal circulation is extremely thin (65). Thus, as the gestation progresses toward term, the number of cytotrophoblasts declines and the remaining syncytial layer becomes thin and barely visible. This structural arrangement facilitates transport of compounds across the feto-maternal interface. Consistent with the cytologic changes that occur in the maternal fetal interface from mid-gestation to term, striking changes in the global gene expression profile of this tissue has been demonstrated over this interval (225).

FETAL COMPARTMENT

The endocrine system, a system that is functional from the time of intrauterine existence through old age, is one of the first systems to develop during fetal life. As in the placenta, the regulation of the fetal endocrine system relies, to some extent, on precursors secreted by the other compartments. As the fetus develops, its endocrine system matures and eventually becomes more independent, preparing the fetus for extrauterine life.

Fetal Hypothalamus and Pituitary

By the end of the fifth week of gestation, the primitive hypothalamus can be identified as a swelling on the inner surface of the diencephalic neural canal (226).  By the 9th to 10th week, the median eminence of the hypothalamus is evident.  By week 14 to 16 the hypophysiotropic hormones GnRH, TRH, CRH, GHRH and somatostatin appear in the fetal hypothalamus (227) .  The portal-vessel system that delivers the releasing hormones to the anterior pituitary is fully developed by 18 weeks of gestation (227).

The anterior pituitary cells that develop from those cells lining Rathke's pouch are capable of secreting growth hormone (GH), follicle-stimulating hormone (FSH), luteinizing hormone (LH) and adrenocorticotropic hormone (ACTH), in vitro, as early as 7 weeks of fetal life (Figure 12).

Figure 12. Fetal serum pituitary hormone levels. PrL indicates prolactin; TSH, thyroid-stimulating hormone; ACTH, corticotropin; GH, growth hormone; LH/FSH, luteinizing hormone/follicle stimulating hormone. (Modified from (228), with permission)

Fetal Thyroid Gland

The fetal thyroid gland develops initially in the absence of detectable TSH. By 12 weeks’ gestation, the thyroid is capable of iodine-concentrating activity and thyroid hormone synthesis (226) .  Prior to that time, the maternal thyroid appears to be the primary source for T4.  The levels of TSH and T4 are relatively low in fetal blood until mid-gestation. At 24-28 weeks' gestation, serum T4 and reverse tri-iodothyronine (rT3) concentrations begin to rise progressively until term while the TSH concentration peaks. At birth, there is an abrupt release of TSH, T4, and T3. The relative hyperthyroid state of the newborn is believed to facilitate thermoregulatory adjustments for extrauterine life.  The function of the fetal thyroid hormones is crucial for somatic growth and neonatal adaptation. 

Fetal Gonads

The internal genitalia in the embryo have the inherent tendency to feminize. The Wolffian (mesonephric) and Mullerian (paramesonephric) ducts are discrete primordia that temporarily coexist in all embryos during the ambisexual undifferentiated development period (up to 8 weeks). The critical factors in determining which of the duct structures stabilize or regress are the hormones secreted by the testes: Anti-Mullerian hormone (AMH) and testosterone. The testis is histologically identifiable at 6 weeks’ gestation. Primary testis differentiation begins with development of the Sertoli cells at 8 weeks’ gestation. SRY, the sex-determining region on the Y chromosome, determines male gonadal sex and directs the differentiation of the Sertoli cell (229).  Sertoli cells secrete AMH which triggers the resorption of the Mullerian ducts in males and prevents development of female internal structures (230). At approximately 8 weeks’ gestation Leydig cells differentiate and testosterone secretion commences.  Maximum levels of fetal testosterone are observed at about 15 – 18 weeks and decrease thereafter.

Differentiation of the ovaries occurs several weeks later than that of the testis.  If the primordial germ cells lack the SRY region on the Y chromosome, ovaries develop from the indifferent gonads.  Fetal ovarian function becomes apparent by 7 to 8 weeks gestation; the time when the ovary becomes morphologically recognizable. During this time ovarian differentiation is occurring with mitotic multiplication of germ cells, reaching 6-7 million oogonia, their maximal number, by 16-20 weeks’ gestation (231, 232). 

The pattern of luteinizing hormone (LH) levels in fetal plasma parallels that of follicle-stimulating hormone (FSH). The decline in pituitary gonadotropin content, and plasma concentration of gonadotropins after mid-gestation is believed to result from the maturation of the hypothalamic-pituitary-gonadal axis. The hypothalamus becomes progressively more sensitive to sex steroids originating from the placenta and circulating in fetal blood. Early secretion of fetal testosterone is important in initiating sexual differentiation in males. In the absence of testosterone, the Wolffian system regresses. Human chorionic gonadotropin (hCG), supplemented by fetal LH, is believed to be the primary stimulus effecting the early development and growth of Leydig cells as well as stimulating the subsequent peak of testosterone production. In females, the fetal ovary is involved primarily in the formation of follicles and germ cells and less involved in hormone secretion.

Fetal Adrenal Glands

The human fetal adrenal gland is a remarkable organ due to its incredible capacity for steroid biosynthesis in utero, and because of its unique morphologic features. The human fetal adrenals are disproportionately large, and at mid-pregnancy their size exceeds that of the fetal kidneys. At term, the adrenals are as large as those of adults, weighing 10 grams or more. The region that ultimately develops into the adult adrenal cortex, the outer or definitive zone, accounts for only about 15% of the fetal gland (Figure 13). The unique inner or fetal zone comprises 80-85% of the volume of the adrenal in utero, and is largely responsible for the tremendous secretory capacity of this organ. The fetal zone rapidly undergoes involution at parturition and by one year it has completely disappeared (233). Changes in the fetal adrenal volume throughout fetal life and into young adulthood are graphically depicted in Figure 14.

The adrenal function of 10 preterm infants of gestational age 27-34 weeks was assessed for up to 80 days after delivery. The changes in steroid excretion with time in preterm infants of gestation over 28 weeks reflect involution of the fetal adrenal zone at a similar rate to term infants. These findings are consistent with the removal at birth of the inhibitory effects of estrogen on the 3 beta-hydroxysteroid dehydrogenase enzyme. The continued function of the adrenal fetal zone beyond the first month in preterm infants of less than 28 weeks’ gestation may however be due to persistence of some other fetal regulatory adrenal mechanism. This suggests that it is gestation that determines fetal zone activity rather than birth (234).

The fetal adrenal gland secretes large quantities of steroid hormones (up to 200-mg daily) near term. The rate of steroidogenesis is 5-times that observed in the adrenal glands of adults at rest. The principal steroids secreted are C-19 steroids (mainly DHEAS), which serve as substrates for estrogen biosynthesis by the placenta (Figure 13).

The fetal adrenal gland contains a zone, unique to in-utero fetal life that accounts for the rapid growth of the adrenal gland; this zone regresses during the first few weeks after birth. In addition to the fetal zone, an outer layer of cells forms the adrenal cortex (definitive zone). The fetal zone differs not only histologically, but also biochemically from the cortex (i.e., the fetal zone is deficient in 3b-hydroxysteroid dehydrogenase enzyme activity and, therefore, secretes C-19 steroids (mainly DHEAS); the cortex secretes primarily cortisol).

Figure 14. An illustration demonstrating generalized pathways for steroid hormone formation in the fetal adrenal gland. DHA: dehydroepiandrosterone. DHAS: dehydroepiandrosterone sulfate. LDL: low-density lipoprotein cholesterol. (Modified from (235), with permission)

Figure 15. Changes in the fetal adrenal volume throughout fetal life and into young adulthood. (Modified from (236), with permission)

Research involving the fetal adrenal gland has attempted to determine the factors that stimulate and regulate fetal adrenal growth and steroidogenesis. Other work has focused on the mechanisms responsible for fetal zone atrophy after delivery. All investigations have shown that, in vitro, adrenocorticotropic (ACTH) stimulates steroidogenesis. Furthermore, there is clinical evidence that, in vivo, ACTH is the major trophic hormone of the fetal adrenal gland. For example, in anencephalic fetuses, the plasma levels of ACTH are very low and the fetal zone is markedly atrophic. Maternal glucocorticoid therapy suppresses fetal adrenal steroidogenesis by suppressing fetal ACTH secretion. Despite these observations, ACTH -related peptides, growth factors and other hormones have been proposed as possible trophic hormones for the fetal zone. After birth, the adrenal gland shrinks in size by more than 50% because of the regression of fetal zone cells.

Fetal Parathyroid Glands and Calcium Homeostasis

In the fetus, calcium concentrations are regulated by the movement of calcium across the placenta from the maternal compartment. In order to maintain fetal bone growth, the maternal compartment undergoes adjustments that provide a net transfer of sufficient calcium to the fetus. Maternal compartment changes that permit calcium accumulation include increases in maternal dietary intake, increases in maternal 1, 25-dihydroxyvitamin D3 levels, and increases in parathyroid hormone (PTH) levels.  The levels of total calcium and phosphorus decline in maternal serum, but ionized calcium levels remain unchanged. During pregnancy, the placenta forms a calcium pump in which a gradient of calcium and phosphorus is established which favors the fetus.  Thus, circulating fetal calcium and phosphorus levels increase steadily throughout gestation. Furthermore, fetal levels of total and ionized calcium, as well as phosphorus, exceed maternal levels at term.

By 10-12 weeks' gestation, the fetal parathyroid glands secrete PTH. Fetal plasma levels of PTH are low during gestation, but increase after delivery. In contrast to the unchanged maternal calcitonin levels, the fetal thyroid gland produces increasing levels of calcitonin. Since there is no transfer of parathyroid hormone across the placenta, changes noted in fetal calcium levels are related to fetal changes in these hormones (PTH and calcitonin). These adaptations are consistent with the need to conserve calcium and stimulate bone growth within the fetus. After birth, neonatal serum calcium and phosphorus levels fall. Parathyroid hormone levels start to rise within 48 hours after birth. Calcium and phosphorus levels steadily increase over the following several days, with some dependence on dietary intake of milk.

Fetal Endocrine Pancreas

The pancreas’ exocrine function begins after birth, while the endocrine function (hormone release) can be measured from 10 to 15 weeks onward.  The α-cells which contain glucagon, and the β-cells which contain somatostatin, can be recognized by 8 weeks’ gestation (234). Alpha cells are more numerous than β-cells in the early fetal pancreas and reach a peak at midgestaion; β-cells increase through the second half of gestation so that by term the ratio of α-cells to beta cells is approximately 1:1 (237, 238).  Human pancreatic insulin and glucagon concentrations increase with advancing fetal age, and are higher than concentrations found in the adult pancreas. In vivo studies of umbilical cord blood obtained at delivery and fetal scalp blood samples obtained at term show that fetal insulin secretion is low and tends to be relatively unresponsive to acute changes in glucose. In contrast, fetal insulin secretion in vitro is responsive to amino acids and glucagon as early as 14 weeks' gestation. In maternal diabetes mellitus, fetal islet cells undergo hypertrophy such that the rate of insulin secretion increases.

Fetal Alpha-Fetoprotein (AFP)

Alpha-fetoprotein is a glycoprotein synthesized first by the yolk sac, then the gastrointestinal tract, and lastly by the fetal liver (239, 240). After entering the fetal urine, it is readily detected in amniotic fluid. Amniotic fluid AFP (afAFP) peaks between 10-13 weeks’ gestation, and then declines from 14-32 weeks. In the fetus, AFP peaks at 12-14 weeks and steadily decreases until term (241). The fall in fetal plasma AFP (fpAFP) is most likely due to the combination of increasing fetal blood volume and a decline in fetal production. The concentration gradient between fpAFP and maternal serum AFP (msAFP) is approximately 150- to 200-fold. Detectable as early as 7 weeks' gestation, msAFP reaches peak concentrations between 28-32 weeks (241). The seemingly paradoxical rise in msAFP in association with decreasing afAFP and fetal serum levels can be accounted for by the increasing placental permeability to fetal plasma proteins that occurs with advancing gestational age (241). Alpha-fetoprotein acts as an osmoregulator to help adjust fetal intravascular volume (241). It may also be involved in certain immunoregulatory functions (242). Amniotic fluid AFP and maternal serum AFP are clinically important because they are elevated in association conditions such as neural tube defects (243). Additionally, msAFP is decreased in pregnancies in which the fetus has Down syndrome (trisomy 21) (244).

MATERNAL COMPARTMENT

Maternal Hypothalamus and Pituitary

Little information is definitively known about the endocrine alterations of the maternal hypothalamus during pregnancy. Thought to result from estrogen stimulation, the anterior pituitary undergoes a 2- to 3-fold enlargement during pregnancy, primarily because of hyperplasia and hypertrophy of lactotroph cells. Thus, plasma prolactin levels parallel the increase in pituitary size throughout gestation. In contrast to the lactotrophs, the size of the other pituitary cells decreases or remains unaltered during pregnancy. In line with these findings, maternal levels of somatotrophs and gonadotrophs are lower and the level of thyrotrophs and corticotrophs remains unchanged.  In contrast, adrenocorticotrophic hormone (ACTH) levels do increase with advancing gestation. Corticotrophin-releasing hormone (CRH) in the maternal plasma increases during pregnancy due to increased placental secretion, but alterations in binding-protein concentrations prevent increased biologic activity of this releasing hormone.

The size of the posterior pituitary gland diminishes during pregnancy (245).  Additionally, maternal plasma arginine vasopressin (AVP) levels remain low throughout gestation and are not believed to play a pivotal role in human pregnancy.  In contrast, maternal oxytocin levels progressively increase in the maternal blood and parallel the increase in maternal serum levels of estradiol and progesterone (246). Uterine oxytocin receptors also increase throughout pregnancy, resulting in a 100 fold increase in oxytocin binding at term in the myometrium (247).

Maternal Thyroid Gland

As a result of increased vascularity and glandular hyperplasia, the thyroid gland increases in size by 18% during pregnancy; however, true goiter is not usually present (248).  Enlargement is associated with an increase in the size of the follicles with increased amounts of colloid and enhanced blood volume.  This enlargement may be a response to the thyrotropic effect of hCG, which may account for some of the increase in serum thyroglobulin concentrations observed during pregnancy.  During gestation the mother remains in a euthyroid state. Total thyroxine (T4) and tri-iodothyronine (T3) levels increase but do not result in hyperthyroidism because there is a parallel increase in T4-binding globulin that results from estrogen exposure (Figure 15). The increase seen in binding-protein concentrations is similar to that observed in women who use oral contraceptives (OC). A modest increase in the basal metabolic rate (BMR) rate occurs during pregnancy secondary to increasing fetal requirements. Some T4 and T3, but no TSH, are transferred across the placenta.

Figure 15. Relative changes in maternal thyroid function during the course of human pregnancy from fertilization to term. (Modified from (249), with permission)

Maternal Adrenal Glands

The maternal adrenal gland does not change morphologically during pregnancy.  However, plasma adrenal steroid levels increase with advancing gestation. Total plasma cortisol concentrations increase to three times nonpregnant levels by the third trimester.  The hypoestrogenic state of pregnancy results in increased hepatic production of cortisol-binding globulin. This increase in cortisol-binding globulin results in decreased metabolic clearance of cortisol, resulting in an increase in plasma free cortisol and total free cortisol.  Additionally, cortisol production increases due to an increase in maternal plasma ACTH concentration and the hyperresponsiveness of the adrenal cortex to the ACTH stimulation (250).  Despite the elevated free cortisol levels, pregnant women do not exhibit any overt signs of hypercortisolism, likely due to the anti-glucocorticoid activities of the elevated levels of progesterone.

Plasma renin substrate levels are increased as a consequence of the effects of estrogen on the liver.  The higher levels of renin and angiotensin during pregnancy, lead to elevated angiotensin II levels and markedly elevated levels of aldosterone.  Similar to cortisol, the elevated aldosterone levels do not have a detrimental effect on maternal health.  The high level of progesterone is thought to displace aldosterone from its renal receptors.

Androgen levels are elevated during pregnancy, but the free androgen levels remain normal to low secondary to the estrogen-induced increase in hepatic synthesis of sex hormone-binding globulin. Dehydroepiandrosterone (DHEA) and DHEAS production is increased twofold during pregnancy. However, serum concentrations of DHEAS are reduced to less than nonpregnant levels secondary to enhanced 16 –hydroxylation and placental use of DHEAS in estrogen production (251).

Maternal Endocrine Pancreas

A dual-hormone secretion mechanism is partially responsible for the metabolic adaptation of pregnancy in which glucose is spared for the fetus by the maternal endocrine pancreas. Compared to the non-pregnant state, in response to a glucose load, there is a greater release of insulin from the β-cells and a greater suppression of glucagon release from the α-cells. Associated with the increased release of insulin, the maternal pancreas undergoes β-cell hyperplasia and islet-cell hypertrophy, with an accompanying increase in blood flow to the endocrine pancreas. During pregnancy, when fasting blood glucose levels fall, they rise to a greater extent in response to a glucose load than do levels in non-pregnant women. The increased release of insulin is related to insulin resistance due to hPL, which spares transfer of glucose to the fetus. Glucagon levels are also suppressed in response to a glucose load, with the greatest suppression occurring near term.

REGULATION OF FETO-MATERNAL STEROIDOGENESIS

Using in vitro investigations utilizing placental tissue explants as well as in vivo, catheterized primate models to study steroidogenic regulation in pregnancy, researchers have determined LDL-cholesterol, fetal pituitary hormones, intra-placental regulators, and intra-adrenal regulators act as the primary modulators of feto-placental steroid production (252-254).

Regulation by Low Density Lipoprotein Cholesterol (LDL)

A limiting factor in adrenal steroid output is the availability of LDL-cholesterol, the primary lipoprotein used in fetal adrenal steroid synthesis (Figure 16). Circulating LDL-cholesterol accounts for 50-70% of the cholesterol utilized for fetal adrenal steroidogenesis (255-257). The fetal adrenal is known to contain high affinity, low-capacity LDL binding sites. The presence of ACTH increases this binding capacity (256, 258, 259). Within the adrenal gland, hydrolysis of LDL makes cholesterol available for conversion to steroids. The majority of fetal LDL-cholesterol is made, de novo, in the fetal liver (260). In addition, cortisol from the fetal adrenal cortex and estradiol (aromatized from fetal DHEAS) augment this de novo synthesis within the fetal liver. These systems interact in a manner that is linked, self-perpetuating, and serves to increase steroid production to meet the needs of the maturing fetus (260).

Figure 16. Shown are the maternal, placental and fetal compartments for estrogen and progesterone synthesis in human pregnancy. The fetal adrenal gland lacks 3β-hydroxysteroid dehydrogenase, but has sulfation and 16α-hydroxylase capabilities. Likewise, the placenta lacks 17α-hydroxylase activity but contains sulfatase in order to cleave the sulfated fetal products. Modified from (261), with permission)

Regulation by Fetal Pituitary Hormones  

Fetal ACTH regulates steroidogenesis in both adrenal zones. Adrenocorticotropic hormone receptor activity is diminished in the fetal zone of the cortex during the early second trimester when other factors, such as hCG, are more important in the maintenance of this zone (260). In vitro studies in human fetal adrenal tissue, demonstrate that ACTH stimulates the release of D5 pregnenolone sulfate and DHEAS, whereas in adult adrenal cortex secretes only cortisol when stimulated by ACTH (260). Moreover, ACTH can act on its own adrenal-cell membrane receptor to express a direct stimulatory effect on steroidogenic enzymes (260).

Adrenocorticotropic hormone extracted from the human fetal pituitary gland has been shown, in vitro, to stimulate the production of DHEAS and cortisol (262, 263). Interestingly, concentrations of ACTH throughout gestation do not correlate with the increasing mass of the fetal adrenal cortex or the increasing steroidogenic function that are hallmarks of the third trimester (259). Fetal pituitary ACTH is detectable by 9 weeks’ gestation (263, 264). Thereafter, levels of ACTH increase steadily until 20 weeks’ gestation. The levels remain stable until approximately 34 weeks, when a significant decline is initiated and persists until term (259).

Prolactin may act as a co-regulator, along with ACTH, hCG and certain growth factors, in fetal adrenal steroid production (265, 266). Both in vitro and in vivo, prolactin augments ACTH-stimulated adrenal androgen production (253). Fetal pituitary prolactin is detectable at 10 weeks’ gestation (264). Umbilical cord prolactin levels increase with advancing gestational age and rise in parallel with increased fetal adrenal mass (267).

Regulation by Intra-Placental Mechanisms  

The placenta is an important co-regulator of the fetal adrenal zone due its ability to secrete hCG, placental CRH, progesterone and estradiol (233). In vitro and in vivo, hCG receptor activity is present in the fetal zone, and hCG stimulates fetal adrenal production of DHEAS (233, 268). However, after the 20th week of gestation ACTH primarily influences the fetal zone of the adrenal, and at this time hCG plays only a minor role. Placental CRH, acts in a paracrine relationship with placental ACTH, to complement the actions of the fetal hypothalamus and pituitary in producing the surge in fetal glucocorticoids notable in the late third trimester as fetal growth and maturity become increasingly important (125, 269).

Placental progesterone inhibits D5 to D4 steroid transformations in the fetal zone of the adrenal (101, 270). This effect is another explanation for fetal adrenal 3β-HSD deficiency. Placental estradiol modifies the production and metabolism of corticosteroids and progesterone. In vivo, the placenta regulates the inter-conversion of maternal cortisol to cortisone, and the fetal pituitary production of ACTH (264, 269). Modulation of the transfer of maternal cortisol across the placenta, into the fetus, is the primary mechanism through which this effect occurs.

Regulation by Intra-Adrenal Mechanisms  

With advancing gestational age, the fetal adrenal becomes more sensitive to circulating ACTH (253). Between 32 and 36 weeks’ gestation, the fetal adrenal mass increases (271-273). Blood flow to the fetal adrenal is affected by many factors that, in turn, affect the exposure of the fetal adrenal receptors of the different trophic stimuli. Growth factors modulate adrenal steroid pathways just as they do in the adult adrenal cortex. The fetal adrenal produces IGF-I and IGF-II; ACTH originating from either the fetal pituitary or the placenta can stimulate production of their respective mRNAs (274, 275).

PARTURITION

Parturition is a coordinated process of transition from a quiescent myometrium to an active rhythmically contractile state requiring elegant interplay between placental, fetal and maternal compartments. Though fetal maturity does not always predate the onset of labor, the two processes are related in primates. The timing of birth is a crucial determinant of perinatal outcome. Both preterm birth (<37wk) and post-term pregnancy (>42 wk) are associated with greater risk of adverse perinatal outcomes. The traditional dogma, supported by robust evidence from animal studies, has the fetoplacental unit as being in charge of the timing of parturition (276). While this is certainly true in some species, the presence of such a “placental clock” is not established in humans. Rather, it has become clear that the maternal endometrium/decidua also plays an important role in triggering the cascade of event leading to parturition (277).  

The precise mechanisms involved in human parturition are thought to involve CRH, functional progesterone withdrawal, increased estrogen bioavailability, and finally, increased responsiveness of the myometrium to prostaglandins and oxytocin. There is no simple chain of events as there are in other species.

Numerous lines of evidence support a role for CRH in human parturition. Studies have demonstrated increased CRH and decreased CRH-binding protein levels prior to the onset of both term and preterm labor (278, 279). CRH directly stimulates release of prostaglandins in decidua and myometrium (280). Interestingly, a paradoxical augmentation of placental CRH release by serum cortisol is maximal in the last ten weeks of pregnancy. This may be a function of cortisol competition with progesterone for placental glucocorticoid receptors, thereby blocking the inhibitory action of progesterone on CRH synthesis (281).

The ratios of estradiol and progesterone in various animal models are closely related to the stimulation of myometrial gap-junction formation (282). With decreasing progesterone relative to estradiol, gap junctions permit cell-cell communication for the synchronized myometrial smooth muscle contractions required for labor. Progesterone and the estrogens are antagonistic in the parturition process. Progesterone produces uterine relaxation, stabilizing lysosomal membranes and inhibiting prostaglandin synthesis and release. By contrast, estrogens destabilize lysosomal membranes and augment the synthesis of prostaglandin and their release (283). Although gradual increase in umbilical cord DHEAS and maternal estriol occurs toward term, there is no corresponding drop in either fetal or maternal progesterone concentrations (284).

Though a reduction in maternal or fetal progesterone levels during spontaneous labor has not been documented, functional progesterone withdrawal at the receptor level is believed to be involved in the process of parturition. This may occur via altered progesterone receptor isoform PR-A/PR-B levels in myometrium (285). Undoubtedly, progesterone is important in uterine quiescence because in the first trimester removal of the corpus luteum leads rapidly to myometrial contractions (84). Likewise, labor ensues following the administration of progesterone receptor antagonists in the third trimester (286). The anti-progesterone agents occupy progesterone receptors and inhibit the action of progesterone, which is clearly essential for maintenance of uterine quiescence. Consistent with these findings, pharmacologic treatment of women at risk for preterm labor with progesterone or synthetic progestational agents has demonstrated efficacy in the prevention of preterm labor (287-289).

A role for estrogen in the process of parturition is supported by the finding that pregnancies are often prolonged when estrogen levels in maternal blood and urine are low, as in placental sulfatase deficiency or when associated with anencephaly (290). In human studies, there is a correlation in uterine activity with circulating maternal estrogens and progesterone as labor approaches (291-293). Feto-placental estrogens are closely linked to myometrial irritability, contractility, and labor. In primates, estrogens ripen the cervix, initiate uterine activity, and established labor (294). Estrogens also increase the sensitivity of the myometrium to oxytocin by augmenting prostaglandin biosynthesis (283, 295). Because placental release of estrogens is linked to the fetal hypothalamus, pituitary, adrenals, and placenta the fetal pituitary adrenal axis appears to fine-tune parturition timing in part through its effect on estrogen production.

Prostaglandins (PG) are thought to play a central role in human parturition. For years, it has been known that rupture, stripping, or infection of the fetal membranes, as well as instillation of hypertonic solutions into the amniotic fluid results in the onset of labor. These facts have led to the hypothesis that a fetal-amniotic fluid-fetal membrane complex is a metabolically active unit that triggers the onset of labor. Evidence supporting a causative role of prostaglandins in the labor process is present since PGs induce myometrial contractions in all stages of gestation. While there is still no direct evidence relating endogenous PGs to labor,  there are several lines of evidence implicating PGs in this process; PG levels increase in maternal circulation and amniotic fluid in association with labor; indomethacin prevents the onset of labor in nonhuman primates and stops preterm labor in humans; stimuli that are known to induce labor (e.g. cervical ripening, rupture of membranes) are associated with PG release; the process of cervical ripening is mediated by PGs. Important to this hypothesis is the understanding that at least one mechanism in the onset of parturition is the release of stored precursors of PGs from the fetal membranes.

The major precursor for PGs is arachidonic acid, which is stored in glycerophospholipids. The fetal membranes are enriched with two major glycerophospholipids, phosphatidylinositol and phosphatidylethanolamine. As gestation advances, the progressively increasing levels of estrogen stimulate the storage, in fetal membranes, of these glycerophospholipids containing arachidonic acid.

A series of fetal membrane lipases, including phospholipase A2 and Phospholipase C control the release of arachidonic acid from storage in fetal membrane phospholipids. Once in a free state, arachidonic acid is available for conversion to PG. Additional factors that augment and accentuate the normal process of labor include the liberation of corticosteroid by the mother and fetus, resulting in a decrease in the production of myometrial prostacyclin, a smooth muscle relaxant.

Active labor is characterized by a dramatic increase in the number of oxytocin receptors in the myometrium. Once begun, the process appears to be self-perpetuating. The level of maternal catecholamines increases, resulting in the liberation of free fatty acids, including arachidonic acid; there is also an increase in the level of maternal or fetal cortisol, which decreases the production of uterine smooth muscle prostacyclin. It is unlikely that oxytocin is the initiator of labor despite the fact that oxytocin receptors are present in the myometrium and increase before labor, and it stimulates decidual prostaglandin E2 and prostaglandin F2a production. There is firm evidence of increasing, rhythmical fetal adrenal and placental steroid output over the 5 weeks just before term that is important in preparing human pregnancy for the final cascade of oxytocin and prostaglandins that stimulate labor (283, 291-293, 295, 296).

KEY POINTS

  • Synchrony between the development of the early embryo and establishment of a receptive endometrium is necessary to allow implantation and subsequent progression of pregnancy.
  • The placenta is a unique, dynamic organ with the inherent ability to produce, regulate, and inhibit factors that directly affect fetal growth and development.
  • During the luteal-placental transition period, between 6-10 weeks of gestation, corpus luteal function and progesterone production naturally declines and shifts to the developing placenta.
  • Steroidogenesis in pregnancy is characterized by enzymatic deficiencies within the placental and fetal compartments which foster interdependent transfer of precursors among compartments for the synthesis of steroid hormones. This process is modulated by LDL-cholesterol, fetal pituitary hormones, intra-placental regulators, and intra-adrenal regulators.
  • Redundancy in protein hormone – receptor interactions such as hPL and hPGH serve to ensure that adequate nutrition is supplied to the developing fetus.
  • A relatively insulin resistant state is generated within the maternal compartment to supply glucose and free fatty acids for fetal nutrition.
  • Human parturition exemplifies the interplay between placental, fetal, and maternal compartments, characterized by increased estrogen bioavailability, functional progesterone withdrawal, increased CRH synthesis and release, culminating in increased responsiveness of the myometrium to prostaglandins and oxytocin.

ACKNOWLEDGMENT

In addition to the journal and text references listed above, the following sources were used in the preparation of this chapter:

Taylor HS, Pal L, Seli E (eds.). Speroff’s Clinical Gynecologic Endocrinolofy & Infertility. Ninth edition, 2020. Wolters-Kluwer, Philadelphia.

Gabbe SG, Niebyl JR, Simpson JL [eds.]. Obstetrics: normal and problems pregnancies. Fifth edition, 2007. Churchill-Livingstone, New York.
Benirschke K, Kaufmann P, Baergen RN [eds.]. Pathology of the human placenta. Fifth edition, 2006. Springer, New York.Strauss JF,
Barbieri RL [eds.]. Yen and Jaffe’s Reproductive endocrinology: physiology, pathophysiology and clinical management. Fifth edition, 2004. Elsevier Saunders, Philadelphia.
Reece EA, Hobbins JC [eds.]. Clinical obstetrics: the fetus and mother. Third edition, 2007. Wiley-Blackwell, Malden, MA.

REFERENCES

  1. Mesino S: The Endocrinology of Human Pregnancy and Fetoplacental Neuroendocrine Development. ; in Yen & Jaffe Reproductive Endocrinology. Edited by Jaffe Y, 2009
  2. Strowitzki T, Germeyer A, Popovici R, et al.: The human endometrium as a fertility-determining factor. Human reproduction update 12:617-30, 2006
  3. Finn CA, Martin L: The control of implantation. Journal of reproduction and fertility 39:195-206, 1974
  4. Martin J, Dominguez F, Avila S, et al.: Human endometrial receptivity: gene regulation. Journal of reproductive immunology 55:131-9, 2002
  5. Gipson IK, Blalock T, Tisdale A, et al.: MUC16 is lost from the uterodome (pinopode) surface of the receptive human endometrium: in vitro evidence that MUC16 is a barrier to trophoblast adherence. Biology of reproduction 78:134-42, 2008
  6. Sharkey AM, Smith SK: The endometrium as a cause of implantation failure. Best practice & research Clinical obstetrics & gynaecology 17:289-307, 2003
  7. Chan RW, Schwab KE, Gargett CE: Clonogenicity of human endometrial epithelial and stromal cells. Biol Reprod 70:1738-50, 2004
  8. Taylor HS: Endometrial cells derived from donor stem cells in bone marrow transplant recipients. JAMA 292:81-5, 2004
  9. Tal R, Shaikh S, Pallavi P, et al.: Adult bone marrow progenitors become decidual cells and contribute to embryo implantation and pregnancy. PLoS Biol 17:e3000421, 2019
  10. Lima PD, Zhang J, Dunk C, et al.: Leukocyte driven-decidual angiogenesis in early pregnancy. Cellular & molecular immunology 11:522-37, 2014
  11. Hofmann AP, Gerber SA, Croy BA: Uterine natural killer cells pace early development of mouse decidua basalis. Molecular human reproduction 20:66-76, 2014
  12. Erlebacher A: Immunology of the maternal-fetal interface. Annu Rev Immunol 31:387-411, 2013
  13. DeMayo FJ, Lydon JP: 90 YEARS OF PROGESTERONE: New insights into progesterone receptor signaling in the endometrium required for embryo implantation. J Mol Endocrinol 65:T1-T14, 2020
  14. Lydon JP, DeMayo FJ, Funk CR, et al.: Mice lacking progesterone receptor exhibit pleiotropic reproductive abnormalities. Genes Dev 9:2266-78, 1995
  15. Mulac-Jericevic B, Lydon JP, DeMayo FJ, et al.: Defective mammary gland morphogenesis in mice lacking the progesterone receptor B isoform. Proc Natl Acad Sci U S A 100:9744-9, 2003
  16. Mulac-Jericevic B, Mullinax RA, DeMayo FJ, et al.: Subgroup of reproductive functions of progesterone mediated by progesterone receptor-B isoform. Science 289:1751-4, 2000
  17. Chwalisz K: The use of progesterone antagonists for cervical ripening and as an adjunct to labour and delivery. Human reproduction 9 Suppl 1:131-61, 1994
  18. Shaw KA, Topp NJ, Shaw JG, et al.: Mifepristone-misoprostol dosing interval and effect on induction abortion times: a systematic review. Obstetrics and gynecology 121:1335-47, 2013
  19. Lakha F, Ho PC, Van der Spuy ZM, et al.: A novel estrogen-free oral contraceptive pill for women: multicentre, double-blind, randomized controlled trial of mifepristone and progestogen-only pill (levonorgestrel). Human reproduction 22:2428-36, 2007
  20. Spitz IM, Croxatto HB, Lahteenmaki P, et al.: Effect of mifepristone on inhibition of ovulation and induction of luteolysis. Human reproduction 9 Suppl 1:69-76, 1994
  21. Giudice LC: Microarray expression profiling reveals candidate genes for human uterine receptivity. American journal of pharmacogenomics : genomics-related research in drug development and clinical practice 4:299-312, 2004
  22. Hsieh-Li HM, Witte DP, Weinstein M, et al.: Hoxa 11 structure, extensive antisense transcription, and function in male and female fertility. Development 121:1373-85, 1995
  23. Satokata I, Benson G, Maas R: Sexually dimorphic sterility phenotypes in Hoxa10-deficient mice. Nature 374:460-3, 1995
  24. Taylor HS, Arici A, Olive D, et al.: HOXA10 is expressed in response to sex steroids at the time of implantation in the human endometrium. The Journal of clinical investigation 101:1379-84, 1998
  25. Taylor HS, Igarashi P, Olive DL, et al.: Sex steroids mediate HOXA11 expression in the human peri-implantation endometrium. The Journal of clinical endocrinology and metabolism 84:1129-35, 1999
  26. Cakmak H, Taylor HS: Implantation failure: molecular mechanisms and clinical treatment. Human reproduction update 17:242-53, 2011
  27. Ochoa-Bernal MA, Fazleabas AT: Physiologic Events of Embryo Implantation and Decidualization in Human and Non-Human Primates. Int J Mol Sci 21, 2020
  28. Wilcox AJ, Baird DD, Weinberg CR: Time of implantation of the conceptus and loss of pregnancy. The New England journal of medicine 340:1796-9, 1999
  29. Morton H, Cavanagh AC, Athanasas-Platsis S, et al.: Early pregnancy factor has immunosuppressive and growth factor properties. Reproduction, fertility, and development 4:411-22, 1992
  30. Morton H, Rolfe BE, Cavanagh AC: Pregnancy proteins: basic concepts and clinical applications. Semin Reprod Endocrinol 10:72, 1992
  31. Cavanagh AC, Morton H, Rolfe BE, et al.: Ovum factor: a first signal of pregnancy? Am J Reprod Immunol 2:97-101, 1982
  32. Morton H, Rolfe BE, Cavanagh AC: Ovum factor and early pregnancy factor. Current topics in developmental biology 23:73-92, 1987
  33. Croxatto HB, Ortiz ME, Diaz S, et al.: Studies on the duration of egg transport by the human oviduct. II. Ovum location at various intervals following luteinizing hormone peak. American journal of obstetrics and gynecology 132:629-34, 1978
  34. Buster JE, Bustillo M, Rodi IA, et al.: Biologic and morphologic development of donated human ova recovered by nonsurgical uterine lavage. American journal of obstetrics and gynecology 153:211-7, 1985
  35. Macklon NS, Brosens JJ: The human endometrium as a sensor of embryo quality. Biology of reproduction 91:98, 2014
  36. Craciunas L, Gallos I, Chu J, et al.: Conventional and modern markers of endometrial receptivity: a systematic review and meta-analysis. Human reproduction update 25:202-23, 2019
  37. The morphological and functional development of the fetus. East Norwalk: Appleton & Lange, 1989
  38. Shutt DA, Lopata A: The secretion of hormones during the culture of human preimplantation embryos with corona cells. Fertility and sterility 35:413-6, 1981
  39. Laufer N, DeCherney AH, Haseltine FP, et al.: Steroid secretion by the human egg-corona-cumulus complex in culture. The Journal of clinical endocrinology and metabolism 58:1153-7, 1984
  40. Punnonen R, Lukola A: Binding of estrogen and progestin in the human fallopian tube. Fertility and sterility 36:610-4, 1981
  41. Hsueh AJ, Peck EJ, Jr., clark JH: Progesterone antagonism of the oestrogen receptor and oestrogen-induced uterine growth. Nature 254:337-9, 1975
  42. Ciarmela P, Islam MS, Reis FM, et al.: Growth factors and myometrium: biological effects in uterine fibroid and possible clinical implications. Human reproduction update 17:772-90, 2011
  43. Critchley HO, Brenner RM, Henderson TA, et al.: Estrogen receptor beta, but not estrogen receptor alpha, is present in the vascular endothelium of the human and nonhuman primate endometrium. The Journal of clinical endocrinology and metabolism 86:1370-8, 2001
  44. Albrecht ED, Robb VA, Pepe GJ: Regulation of placental vascular endothelial growth/permeability factor expression and angiogenesis by estrogen during early baboon pregnancy. The Journal of clinical endocrinology and metabolism 89:5803-9, 2004
  45. Albrecht ED, Aberdeen GW, Niklaus AL, et al.: Acute temporal regulation of vascular endothelial growth/permeability factor expression and endothelial morphology in the baboon endometrium by ovarian steroids. The Journal of clinical endocrinology and metabolism 88:2844-52, 2003
  46. Ma W, Tan J, Matsumoto H, et al.: Adult tissue angiogenesis: evidence for negative regulation by estrogen in the uterus. Molecular endocrinology 15:1983-92, 2001
  47. Bonduelle ML, Dodd R, Liebaers I, et al.: Chorionic gonadotrophin-beta mRNA, a trophoblast marker, is expressed in human 8-cell embryos derived from tripronucleate zygotes. Human reproduction (Oxford, England) 3:909-14, 1988
  48. Lopata A, Hay DL: The surplus human embryo: its potential for growth, blastulation, hatching, and human chorionic gonadotropin production in culture. Fertility and sterility 51:984-91, 1989
  49. Hay DL, Lopata A: Chorionic gonadotropin secretion by human embryos in vitro. The Journal of clinical endocrinology and metabolism 67:1322-4, 1988
  50. Enders AC: Embryo implantation, with emphasis on the rhesus monkey and the human. Reproduccion 5:163-7, 1981
  51. Tulchinsky D, Hobel CJ: Plasma human chorionic gonadotropin, estrone, estradiol, estriol, progesterone, and 17 alpha-hydroxyprogesterone in human pregnancy. 3. Early normal pregnancy. American journal of obstetrics and gynecology 117:884-93, 1973
  52. Chard T: Proteins of the human placenta: some general concepts; in Pregnancy Proteins: Biology, Chemistry and Clinical Application. Edited by Grudzinskas J, Teisner B, Sepala M. San Diego: Academic Press, 1982
  53. Saijonmaa O, Laatikainen T, Wahlstrom T: Corticotrophin-releasing factor in human placenta: localization, concentration and release in vitro. Placenta 9:373-85, 1988
  54. Khodr GS, Siler-Khodr TM: Placental luteinizing hormone-releasing factor and its synthesis. Science (New York, NY 207:315-7, 1980
  55. Shambaugh G, 3rd, Kubek M, Wilber JF: Thyrotropin-releasing hormone activity in the human placenta. The Journal of clinical endocrinology and metabolism 48:483-6, 1979
  56. Al-Timimi A, Fox H: Immunohistochemical localization of follicle-stimulating hormone, luteinizing hormone, growth hormone, adrenocorticotrophic hormone and prolactin in the human placenta. Placenta 7:163-72, 1986
  57. Hay DL: Placental histology and the production of human choriogonadotrophin and its subunits in pregnancy. British journal of obstetrics and gynaecology 95:1268-75, 1988
  58. Harada A, Hershman JM: Extraction of human chorionic thyrotropin (hCT) from term placentas: failure to recover thyrotropic activity. The Journal of clinical endocrinology and metabolism 47:681-5, 1978
  59. Steiner D: Peptide hormone precursors: biosynthesis, processing, and significance; in Peptide Hormones. Edited by Parson J. Baltimore: University Park Press, 1976
  60. Hoshina M, Hussa R, Pattillo R, et al.: The role of trophoblast differentiation in the control of the hCG and hPL genes. Advances in experimental medicine and biology 176:299-312, 1984
  61. Hoshina M, Boime I, Mochizuki M: [Cytological localization of hPL, hCG, and mRNA in chorionic tissue using in situ hybridization]. Nippon Sanka Fujinka Gakkai zasshi 36:397-404, 1984
  62. Kurman RJ, Young RH, Norris HJ, et al.: Immunocytochemical localization of placental lactogen and chorionic gonadotropin in the normal placenta and trophoblastic tumors, with emphasis on intermediate trophoblast and the placental site trophoblastic tumor. Int J Gynecol Pathol 3:101-21, 1984
  63. Kasai K, Aochi H, Shik SS, et al.: [Production and localization of human prolactin in the tissues associated with pregnancy (Report I) (author's transl)]. Nippon Naibunpi Gakkai zasshi 56:1574-80, 1980
  64. Watkins WB, Yen SS: Somatostatin in cytotrophoblast of the immature human placenta: localization by immunoperoxidase cytochemistry. The Journal of clinical endocrinology and metabolism 50:969-71, 1980
  65. Chard T, Grudzinskas JG: Pregnancy protein secretion. Semin Reprod Endocrinol 10:61, 1992
  66. Jones EE: Abnormal ovulation and implantation; in Medicine of the mother and fetus. Edited by Reece EA, Hobbins JC. Philadelphia: JB Lippincott Company, 1992
  67. Murphy BEP: Cortisol economy in the human fetus; in The Endocrine Function of the Human Adrenal Cortex. Edited by James VHT, Serio M, Gusti G. San Diego: Academic Press, 1978
  68. Murphy BE: Cortisol and cortisone in human fetal development. Journal of steroid biochemistry 11:509-13, 1979
  69. Handwerger S, Brar A: Placental lactogen, placental growth hormone, and decidual prolactin. Semin Reprod Endocrinol 10:106, 1992
  70. Maslar IA, Ansbacher R: Effects of progesterone on decidual prolactin production by organ cultures of human endometrium. Endocrinology 118:2102-8, 1986
  71. Raabe MA, McCoshen JA: Epithelial regulation of prolactin effect on amnionic permeability. American journal of obstetrics and gynecology 154:130-4, 1986
  72. Clements JA, Reyes FI, Winter JS, et al.: Studies on human sexual development. IV. Fetal pituitary and serum, and amniotic fluid concentrations of prolactin. The Journal of clinical endocrinology and metabolism 44:408-13, 1977
  73. Luciano AA, Varner MW: Decidual, amniotic fluid, maternal and fetal prolactin in normal and abnormal pregnancies. Obstetrics and gynecology 63:384-8, 1984
  74. Pullano JG, Cohen-Addad N, Apuzzio JJ, et al.: Water and salt conservation in the human fetus and newborn. I. Evidence for a role of fetal prolactin. The Journal of clinical endocrinology and metabolism 69:1180-6, 1989
  75. Golander A, Kopel R, Lazebnik N, et al.: Decreased prolactin secretion by decidual tissue of pre-eclampsia in vitro. Acta endocrinologica 108:111-3, 1985
  76. Healy DL, Herington AC, O'Herlihy C: Chronic polyhydramnios is a syndrome with a lactogen receptor defect in the chorion laeve. British journal of obstetrics and gynaecology 92:461-7, 1985
  77. McCoshen JA, Barc J: Prolactin bioactivity following decidual synthesis and transport by amniochorion. American journal of obstetrics and gynecology 153:217-23, 1985
  78. Rutanen E: Insulin-like growth factor binding protein-1. Semin Reprod Endocrinol 10:154, 1992
  79. Iwashita M, Kobayashi M, Matsuo A, et al.: Feto-maternal interaction of IGF-I and its binding proteins in fetal growth. Early Hum Dev 29:187-91, 1992
  80. Seppala M, Riittinen L, Kamarainen M: Placental protein 14/progesterone-associated endoemtrial protein revisited. Semin Reprod Endocrinol 10:164, 1992
  81. Julkunen M, Rutanen EM, Koskimies A, et al.: Distribution of placental protein 14 in tissues and body fluids during pregnancy. British journal of obstetrics and gynaecology 92:1145-51, 1985
  82. Stabile I, Olajide F, Chard T, et al.: Circulating levels of placental protein 14 in ectopic pregnancy. British journal of obstetrics and gynaecology 101:762-4, 1994
  83. Carr BR, MacDonald PC, Simpson ER: The role of lipoproteins in the regulation of progesterone secretion by the human corpus luteum. Fertility and sterility 38:303-11, 1982
  84. Csapo AI, Pulkkinen MO, Wiest WG: Effects of luteectomy and progesterone replacement therapy in early pregnant patients. American journal of obstetrics and gynecology 115:759-65, 1973
  85. Sauer MV, Paulson RJ, Lobo RA: A preliminary report on oocyte donation extending reproductive potential to women over 40. The New England journal of medicine 323:1157-60, 1990
  86. Yen SS: Endocrine-metabolic adaptations in pregnancy; in Reproductive endocrinology: physiology, pathophysiology and clinical management. Edited by Yen SSC, Jaffe RB, Barbieri RL. Philadelphia: WB Saunders Company, 1991
  87. Nygren KG, Johansson ED, Wide L: Evaluation of the prognosis of threatened abortion from the peripheral plasma levels of progesterone, estradiol, and human chorionic gonadotropin. American journal of obstetrics and gynecology 116:916-22, 1973
  88. Stovall TG, Ling FW, Carson SA, et al.: Serum progesterone and uterine curettage in differential diagnosis of ectopic pregnancy. Fertility and sterility 57:456-7, 1992
  89. Fields PA, Larkin LH: Purification and immunohistochemical localization of relaxin in the human term placenta. The Journal of clinical endocrinology and metabolism 52:79-85, 1981
  90. Lopez Bernal A, Bryant-Greenwood GD, Hansell DJ, et al.: Effect of relaxin on prostaglandin E production by human amnion: changes in relation to the onset of labour. British journal of obstetrics and gynaecology 94:1045-51, 1987
  91. Weiss G, O'Byrne EM, Hochman J, et al.: Distribution of relaxin in women during pregnancy. Obstetrics and gynecology 52:569-70, 1978
  92. Emmi AM, Skurnick J, Goldsmith LT, et al.: Ovarian control of pituitary hormone secretion in early human pregnancy. The Journal of clinical endocrinology and metabolism 72:1359-63, 1991
  93. Marnach ML, Ramin KD, Ramsey PS, et al.: Characterization of the relationship between joint laxity and maternal hormones in pregnancy. Obstetrics and gynecology 101:331-5, 2003
  94. Hwang JJ, Macinga D, Rorke EA: Relaxin modulates human cervical stromal cell activity. The Journal of clinical endocrinology and metabolism 81:3379-84, 1996
  95. MacLennan AH, Katz M, Creasy R: The morphologic characteristics of cervical ripening induced by the hormones relaxin and prostaglandin F2 alpha in a rabbit model. American journal of obstetrics and gynecology 152:691-6, 1985
  96. Garibay-Tupas JL, Maaskant RA, Greenwood FC, et al.: Characteristics of the binding of 32P-labelled human relaxins to the human fetal membranes. The Journal of endocrinology 145:441-8, 1995
  97. Bryant-Greenwood GD, Kern A, Yamamoto SY, et al.: Relaxin and the human fetal membranes. Reproductive sciences 14:42-5, 2007
  98. Tulchinsky D, Hobel CJ, Yeager E, et al.: Plasma estrone, estradiol, estriol, progesterone, and 17-hydroxyprogesterone in human pregnancy. I. Normal pregnancy. American journal of obstetrics and gynecology 112:1095-100, 1972
  99. Dicztalusy E: Steroid metabolism in the feto-placental unit; in The Feto-Placental Unit. Edited by Pecile A, Finzi C. Amsterdam: Excerpta Medica, 1969
  100. Pepe GJ, Albrecht ED: Actions of placental and fetal adrenal steroid hormones in primate pregnancy. Endocrine reviews 16:608-48, 1995
  101. Abraham GE, Odell WD, Swerdloff RS, et al.: Simultaneous radioimmunoassay of plasma FSH, LH, progesterone, 17-hydroxyprogesterone, and estradiol-17 beta during the menstrual cycle. The Journal of clinical endocrinology and metabolism 34:312-8, 1972
  102. Lindberg BS, Johansson ED, Nilsson BA: Plasma levels of nonconjugated oestrone, oestradiol-17beta and oestriol during uncomplicated pregnancy. Acta obstetricia et gynecologica Scandinavica 32:21-36, 1974
  103. Yen SS: Endocrine-metabolic adaptations in pregnancy; in Reproductive endocrinology: physiology, pathophysiology and clinical management. Edited by Yen SSC, Jaffe RB, Barbieri RL. Philadelphia: WB Saunders Company, 1991
  104. Mitchell BF, Challis JR, Lukash L: Progesterone synthesis by human amnion, chorion, and decidua at term. American journal of obstetrics and gynecology 157:349-53, 1987
  105. Siiteri PK, Febres F, Clemens LE, et al.: Progesterone and maintenance of pregnancy: is progesterone nature's immunosuppressant? Annals of the New York Academy of Sciences 286:384-97, 1977
  106. Moriyama I, Sugawa T: Progesterone facilitates implantation of xenogenic cultured cells in hamster uterus. Nature: New biology 236:150-2, 1972
  107. Partsch CJ, Sippell WG, MacKenzie IZ, et al.: The steroid hormonal milieu of the undisturbed human fetus and mother at 16-20 weeks gestation. The Journal of clinical endocrinology and metabolism 73:969-74, 1991
  108. Tulchinsky D, Simmer HH: Sources of plasma 17alpha-hydroxyprogesterone in human pregnancy. The Journal of clinical endocrinology and metabolism 35:799-808, 1972
  109. Siiteri PK, MacDonald PC: Placental estrogen biosynthesis during human pregnancy. The Journal of clinical endocrinology and metabolism 26:751-61, 1966
  110. Bradshaw KD, Carr BR: Placental sulfatase deficiency: maternal and fetal expression of steroid sulfatase deficiency and X-linked ichthyosis. Obstetrical & gynecological survey 41:401-13, 1986
  111. Simpson ER, Mahendroo MS, Means GD, et al.: Aromatase cytochrome P450, the enzyme responsible for estrogen biosynthesis. Endocrine reviews 15:342-55, 1994
  112. Yen SS: Endocrine-metabolic adaptations in pregnancy; in Reproductive endocrinology: physiology, pathophysiology and clinical management. Edited by Yen SSC, Jaffe RB, Barbieri RL. Philadelphia: WB Saunders Company, 1991
  113. Resnik R, Killam AP, Battaglia FC, et al.: The stimulation of uterine blood flow by various estrogens. Endocrinology 94:1192-6, 1974
  114. Henson MC, Pepe GJ, Albrecht ED: Regulation of placental low-density lipoprotein uptake in baboons by estrogen: dose-dependent effects of the anti-estrogen ethamoxytriphetol (MER-25). Biology of reproduction 45:43-8, 1991
  115. Tulchinsky D, Hobel CJ, Korenman SG: A radioligand assay for plasma unconjugated estriol in normal and abnormal pregnancies. American journal of obstetrics and gynecology 111:311-8, 1971
  116. Landon MB, Gabbe SG: Fetal surveillance in the pregnancy complicated by diabetes mellitus. Clinical obstetrics and gynecology 34:535-43, 1991
  117. Klopper A, Masson G, Campbell D, et al.: Estriol in plasma. A compartmental study. American journal of obstetrics and gynecology 117:21-6, 1973
  118. Solomon S: The placenta as an endocrine organ: steroids; in The physiology of reproduction. Edited by Knobil E, Neill JD. New York: Raven Press Ltd., 1988
  119. Barnea ER, Kaplan M: Spontaneous, gonadotropin-releasing hormone-induced, and progesterone-inhibited pulsatile secretion of human chorionic gonadotropin in the first trimester placenta in vitro. The Journal of clinical endocrinology and metabolism 69:215-7, 1989
  120. Petraglia F, Florio P, Nappi C, et al.: Peptide signaling in human placenta and membranes: autocrine, paracrine, and endocrine mechanisms. Endocrine reviews 17:156-86, 1996
  121. Chrousos GP, Calabrese JR, Avgerinos P, et al.: Corticotropin releasing factor: basic studies and clinical applications. Progress in neuro-psychopharmacology & biological psychiatry 9:349-59, 1985
  122. Stalla GK, Hartwimmer J, von Werder K, et al.: Ovine (o) and human (h) corticotrophin releasing factor (CRF) in man: CRF-stimulation and CRF-immunoreactivity. Acta endocrinologica 106:289-97, 1984
  123. Shibahara S, Morimoto Y, Furutani Y, et al.: Isolation and sequence analysis of the human corticotropin-releasing factor precursor gene. The EMBO journal 2:775-9, 1983
  124. Stalla GK, Bost H, Stalla J, et al.: Human corticotropin-releasing hormone during pregnancy. Gynecol Endocrinol 3:1-10, 1989
  125. Laatikainen TJ, Raisanen IJ, Salminen KR: Corticotropin-releasing hormone in amniotic fluid during gestation and labor and in relation to fetal lung maturation. American journal of obstetrics and gynecology 159:891-5, 1988
  126. Jones SA, Brooks AN, Challis JR: Steroids modulate corticotropin-releasing hormone production in human fetal membranes and placenta. The Journal of clinical endocrinology and metabolism 68:825-30, 1989
  127. Robinson BG, Emanuel RL, Frim DM, et al.: Glucocorticoid stimulates expression of corticotropin-releasing hormone gene in human placenta. Proceedings of the National Academy of Sciences of the United States of America 85:5244-8, 1988
  128. Linton EA, Perkins AV, Woods RJ, et al.: Corticotropin releasing hormone-binding protein (CRH-BP): plasma levels decrease during the third trimester of normal human pregnancy. The Journal of clinical endocrinology and metabolism 76:260-2, 1993
  129. Sug-Tang A, Bocking AD, Brooks AN, et al.: Effects of restricting uteroplacental blood flow on concentrations of corticotrophin-releasing hormone, adrenocorticotrophin, cortisol, and prostaglandin E2 in the sheep fetus during late pregnancy. Canadian journal of physiology and pharmacology 70:1396-402, 1992
  130. Clifton VL, Read MA, Leitch IM, et al.: Corticotropin-releasing hormone-induced vasodilatation in the human fetal placental circulation. The Journal of clinical endocrinology and metabolism 79:666-9, 1994
  131. Perkins AV, Linton EA, Eben F, et al.: Corticotrophin-releasing hormone and corticotrophin-releasing hormone binding protein in normal and pre-eclamptic human pregnancies. British journal of obstetrics and gynaecology 102:118-22, 1995
  132. Goland RS, Jozak S, Warren WB, et al.: Elevated levels of umbilical cord plasma corticotropin-releasing hormone in growth-retarded fetuses. The Journal of clinical endocrinology and metabolism 77:1174-9, 1993
  133. Ruth V, Hallman M, Laatikainen T: Corticotropin-releasing hormone and cortisol in cord plasma in relation to gestational age, labor, and fetal distress. American journal of perinatology 10:115-8, 1993
  134. Goland RS, Conwell IM, Warren WB, et al.: Placental corticotropin-releasing hormone and pituitary-adrenal function during pregnancy. Neuroendocrinology 56:742-9, 1992
  135. Youngblood WW, Humm J, Lipton MA, et al.: Thyrotropin-releasing hormone-like bioactivity in placenta: evidence for the existence of substances other than Pyroglu-His-Pro-NH2 (TRH) capable of stimulating pituitary thyrotropin release. Endocrinology 106:541-6, 1980
  136. Bajoria R, Babawale M: Ontogeny of endogenous secretion of immunoreactive-thyrotropin releasing hormone by the human placenta. The Journal of clinical endocrinology and metabolism 83:4148-55, 1998
  137. Taliadouros GS, Canfield RE, Nisula BC: Thyroid-stimulating activity of chorionic gonadotropin and luteinizing hormone. The Journal of clinical endocrinology and metabolism 47:855-60, 1978
  138. Kumasaka T, Nishi N, Yaoi Y, et al.: Demonstration of immunoreactive somatostatin-like substance in villi and decidua in early pregnancy. American journal of obstetrics and gynecology 134:39-44, 1979
  139. Tsalikian E, Foley TP, Jr., Becker DJ: Characterization of somatostatin specific binding in plasma cell membranes of human placenta. Pediatric research 18:953-7, 1984
  140. Ren SG, Braunstein GD: Human chorionic gonadotropin. Semin Reprod Endocrinol 10:95, 1992
  141. Mersol-Barg MS, Miller KF, Choi CM, et al.: Inhibin suppresses human chorionic gonadotropin secretion in term, but not first trimester, placenta. The Journal of clinical endocrinology and metabolism 71:1294-8, 1990
  142. Hanson FW, Powell JE, Stevens VC: Effects of HCG and human pituitary LH on steroid secretion and functional life of the human corpus luteum. The Journal of clinical endocrinology and metabolism 32:211-5, 1971
  143. Nisula BC, Ketelslegers JM: Thyroid-stimulating activity and chorionic gonadotropin. The Journal of clinical investigation 54:494-9, 1974
  144. Seron-Ferre M, Lawrence CC, Jaffee RB: Role of hCG in the regulation of the fetal adrenal gland. The Journal of clinical endocrinology and metabolism 46:834, 1978
  145. Huhtaniemi IT, Korenbrot CC, Jaffe RB: HCG binding and stimulation of testosterone biosynthesis in the human fetal testis. The Journal of clinical endocrinology and metabolism 44:963-7, 1977
  146. Hodgen GD, Itskovitz J: Recognition and maintenance of pregnancy; in The physiology of reproduction. Edited by Knobil E, Neill JD. New York: Raven Press Ltd., 1988
  147. Frankenne F, Closset J, Gomez F, et al.: The physiology of growth hormones (GHs) in pregnant women and partial characterization of the placental GH variant. The Journal of clinical endocrinology and metabolism 66:1171-80, 1988
  148. Eriksson L, Frankenne F, Eden S, et al.: Growth hormone secretion during termination of pregnancy. Further evidence of a placental variant. Acta Obstet Gynecol Scand 67:549-52, 1988
  149. Eriksson L: Growth hormone in human pregnancy. Maternal 24-hour serum profiles and experimental effects of continuous GH secretion. Acta obstetricia et gynecologica Scandinavica 147:1-38, 1989
  150. Eriksson L, Frankenne F, Eden S, et al.: Growth hormone 24-h serum profiles during pregnancy--lack of pulsatility for the secretion of the placental variant. British journal of obstetrics and gynaecology 96:949-53, 1989
  151. Mirlesse V, Frankenne F, Alsat E, et al.: Placental growth hormone levels in normal pregnancy and in pregnancies with intrauterine growth retardation. Pediatric research 34:439-42, 1993
  152. Takata K, Kasahara T, Kasahara M, et al.: Localization of erythrocyte/HepG2-type glucose transporter (GLUT1) in human placental villi. Cell and tissue research 267:407-12, 1992
  153. Hauguel-de Mouzon S, Leturque A, Alsat E, et al.: Developmental expression of Glut1 glucose transporter and c-fos genes in human placental cells. Placenta 15:35-46, 1994
  154. MacLeod JN, Lee AK, Liebhaber SA, et al.: Developmental control and alternative splicing of the placentally expressed transcripts from the human growth hormone gene cluster. The Journal of biological chemistry 267:14219-26, 1992
  155. de Zegher F, Vanderschueren-Lodeweyckx M, Spitz B, et al.: Perinatal growth hormone (GH) physiology: effect of GH-releasing factor on maternal and fetal secretion of pituitary and placental GH. The Journal of clinical endocrinology and metabolism 71:520-2, 1990
  156. Evain-Brion D, Alsat E, Mirlesse V, et al.: Regulation of growth hormone secretion in human trophoblastic cells in culture. Hormone research 33:256-9, 1990
  157. Han VK, Bassett N, Walton J, et al.: The expression of insulin-like growth factor (IGF) and IGF-binding protein (IGFBP) genes in the human placenta and membranes: evidence for IGF-IGFBP interactions at the feto-maternal interface. The Journal of clinical endocrinology and metabolism 81:2680-93, 1996
  158. Raben MS, Matsuzaki F, Minton PR: Growth-Promoting and Metabolic Effects of Growth Hormone. Metabolism: clinical and experimental 13:SUPPL:1102-7, 1964
  159. Salomon F, Cuneo RC, Hesp R, et al.: The effects of treatment with recombinant human growth hormone on body composition and metabolism in adults with growth hormone deficiency. The New England journal of medicine 321:1797-803, 1989
  160. Yen SS: Endocrine-metabolic adaptations in pregnancy; in Reproductive endocrinology: physiology, pathophysiology and clinical management. Edited by Yen SSC, Jaffe RB, Barbieri RL. Philadelphia: WB Saunders Company, 1991
  161. Niall HD, Hogan ML, Sauer R, et al.: Sequences of pituitary and placental lactogenic and growth hormones: evolution from a primordial peptide by gene reduplication. Proceedings of the National Academy of Sciences of the United States of America 68:866-70, 1971
  162. Braunstein GD, Rasor JL, Engvall E, et al.: Interrelationships of human chorionic gonadotropin, human placental lactogen, and pregnancy-specific beta 1-glycoprotein throughout normal human gestation. American journal of obstetrics and gynecology 138:1205-13, 1980
  163. Kim YJ, Felig P: Plasma chorionic somatomammotropin levels during starvation in midpregnancy. The Journal of clinical endocrinology and metabolism 32:864-7, 1971
  164. Furlanetto RW, Underwood LE, Van Wyk JJ, et al.: Serum immunoreactive somatomedin-C is elevated late in pregnancy. The Journal of clinical endocrinology and metabolism 47:695-8, 1978
  165. Kirwan JP, Hauguel-De Mouzon S, Lepercq J, et al.: TNF-alpha is a predictor of insulin resistance in human pregnancy. Diabetes 51:2207-13, 2002
  166. Navot D, Scott RT, Droesch K, et al.: The window of embryo transfer and the efficiency of human conception in vitro. Fertility and sterility 55:114-8, 1991
  167. Lenton EA, Neal LM, Sulaiman R: Plasma concentrations of human chorionic gonadotropin from the time of implantation until the second week of pregnancy. Fertility and sterility 37:773-8, 1982
  168. Kosasa T, Levesque L, Goldstein DP, et al.: Early detection of implantation using a radioimmunoassay specific for human chorionic gonadotropin. The Journal of clinical endocrinology and metabolism 36:622-4, 1973
  169. Cavanagh AC, Morton H: The purification of early-pregnancy factor to homogeneity from human platelets and identification as chaperonin 10. European journal of biochemistry / FEBS 222:551-60, 1994
  170. Di Trapani G, Orosco C, Perkins A, et al.: Isolation from human placental extracts of a preparation possessing 'early pregnancy factor' activity and identification of the polypeptide components. Human reproduction (Oxford, England) 6:450-7, 1991
  171. Zuo X, Su B, Wei D: Isolation and characterization of early pregnancy factor. Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih / Chinese Academy of Medical Sciences 9:34-7, 1994
  172. Mehta AR, Eessalu TE, Aggarwal BB: Purification and characterization of early pregnancy factor from human pregnancy sera. The Journal of biological chemistry 264:2266-71, 1989
  173. Clarke FM: Identification of molecules and mechanisms involved in the 'early pregnancy factor' system. Reproduction, fertility, and development 4:423-33, 1992
  174. Chard T, Grudzinskas JG: Early pregnancy factor. Biological research in pregnancy and perinatology 8:53-6, 1987
  175. Mesrogli M, Schneider J, Maas DH: Early pregnancy factor as a marker for the earliest stages of pregnancy in infertile women. Human reproduction (Oxford, England) 3:113-5, 1988
  176. Shahani SK, Moniz CL, Bordekar AD, et al.: Early pregnancy factor as a marker for assessing embryonic viability in threatened and missed abortions. Gynecologic and obstetric investigation 37:73-6, 1994
  177. Straube W, Romer T, Zeenni L, et al.: [The early pregnancy factor (EPF) as an early marker of disorders in pregnancy]. Zentralblatt fur Gynakologie 117:32-4, 1995
  178. Hubel V, Straube W, Loh M, et al.: Human early pregnancy factor and early pregnancy associated protein before and after therapeutic abortion in comparison with beta-hCG, estradiol, progesterone and 17-hydroxyprogesterone. Experimental and clinical endocrinology 94:171-6, 1989
  179. Rees LH, Burke CW, Chard T, et al.: Possible placental origin of ACTH in normal human pregnancy. Nature 254:620-2, 1975
  180. Genazzani AR, Fraioli F, Hurlimann J, et al.: Immunoreactive ACTH and cortisol plasma levels during pregnancy. Detection and partial purification of corticotrophin-like placental hormone: the human chorionic corticotrophin (HCC). Clinical endocrinology 4:1-14, 1975
  181. Petraglia F, Sawchenko PE, Rivier J, et al.: Evidence for local stimulation of ACTH secretion by corticotropin-releasing factor in human placenta. Nature 328:717-9, 1987
  182. Nolten WE, Rueckert PA: Elevated free cortisol index in pregnancy: possible regulatory mechanisms. American journal of obstetrics and gynecology 139:492-8, 1981
  183. Prager D, Weber MM, Herman-Bonert V: Placental growth factors and releasing/inhibiting peptides. Semin Reprod Endocrinol 10:83, 1992
  184. Abe Y, Hasegawa Y, Miyamoto K, et al.: High concentrations of plasma immunoreactive inhibin during normal pregnancy in women. The Journal of clinical endocrinology and metabolism 71:133-7, 1990
  185. Tovanabutra S, Illingworth PJ, Ledger WL, et al.: The relationship between peripheral immunoactive inhibin, human chorionic gonadotrophin, oestradiol and progesterone during human pregnancy. Clinical endocrinology 38:101-7, 1993
  186. Petraglia F, Sawchenko P, Lim AT, et al.: Localization, secretion, and action of inhibin in human placenta. Science (New York, NY 237:187-9, 1987
  187. Muttukrishna S, Fowler PA, George L, et al.: Changes in peripheral serum levels of total activin A during the human menstrual cycle and pregnancy. The Journal of clinical endocrinology and metabolism 81:3328-34, 1996
  188. Bersinger NA, Smarason AK, Muttukrishna S, et al.: Women with preeclampsia have increased serum levels of pregnancy-associated plasma protein A (PAPP-A), inhibin A, activin A and soluble E-selectin. Hypertension in pregnancy 22:45-55, 2003
  189. Gagnon A, Wilson RD, Audibert F, et al.: Obstetrical complications associated with abnormal maternal serum markers analytes. Journal of obstetrics and gynaecology Canada : JOGC = Journal d'obstetrique et gynecologie du Canada : JOGC 30:918-49, 2008
  190. Petraglia F, Gallinelli A, Grande A, et al.: Local production and action of follistatin in human placenta. The Journal of clinical endocrinology and metabolism 78:205-10, 1994
  191. Mills NC, D'Ercole AJ, Underwood LE, et al.: Synthesis of somatomedin C/insulin-like growth factor I by human placenta. Molecular biology reports 11:231-6, 1986
  192. Grizzard JD, D'Ercole AJ, Wilkins JR, et al.: Affinity-labeled somatomedin-C receptors and binding proteins from the human fetus. The Journal of clinical endocrinology and metabolism 58:535-43, 1984
  193. Jonas HA, Harrison LC: The human placenta contains two distinct binding and immunoreactive species of insulin-like growth factor-I receptors. The Journal of biological chemistry 260:2288-94, 1985
  194. Napso T, Yong HEJ, Lopez-Tello J, et al.: The Role of Placental Hormones in Mediating Maternal Adaptations to Support Pregnancy and Lactation. Front Physiol 9:1091, 2018
  195. Levine RJ, Lam C, Qian C, et al.: Soluble endoglin and other circulating antiangiogenic factors in preeclampsia. The New England journal of medicine 355:992-1005, 2006
  196. Levine RJ, Maynard SE, Qian C, et al.: Circulating angiogenic factors and the risk of preeclampsia. The New England journal of medicine 350:672-83, 2004
  197. Venkatesha S, Toporsian M, Lam C, et al.: Soluble endoglin contributes to the pathogenesis of preeclampsia. Nature medicine 12:642-9, 2006
  198. Myatt L, Clifton RG, Roberts JM, et al.: First-trimester prediction of preeclampsia in nulliparous women at low risk. Obstetrics and gynecology 119:1234-42, 2012
  199. Kusanovic JP, Romero R, Chaiworapongsa T, et al.: A prospective cohort study of the value of maternal plasma concentrations of angiogenic and anti-angiogenic factors in early pregnancy and midtrimester in the identification of patients destined to develop preeclampsia. The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstet 22:1021-38, 2009
  200. Lenton EA, Grudzinskas JG, Gordon YB, et al.: Pregnancy specific beta 1 glycoprotein and chorionic gonadotrophin in early human pregnancy. Acta Obstet Gynecol Scand 60:489-92, 1981
  201. Chou JY, Plouzek CA: Pregnancy-specific 3t-glycoprotein. Semin Reprod Endocrinol 10:116, 1992
  202. Tatarinov YS: Trophoblast-specific beta1-glycoprotein as a marker for pregnancy and malignancies. Gynecologic and obstetric investigation 9:65-97, 1978
  203. Sinosich MJ, Teisner B, Folkersen J, et al.: Radioimmunoassay for pregnancy-associated plasma protein A. Clinical chemistry 28:50-3, 1982
  204. Bischof P: Pregnancy-associated plasma protein-A. Semin Reprod Endocrinol 10:127, 1992
  205. Westergaard JG, Teisner B, Sinosich MJ, et al.: Does ultrasound examination render biochemical tests obsolete in the prediction of early pregnancy failure? British journal of obstetrics and gynaecology 92:77-83, 1985
  206. Dumps P, Meisser A, Pons D, et al.: Accuracy of single measurements of pregnancy-associated plasma protein-A, human chorionic gonadotropin and progesterone in the diagnosis of early pregnancy failure. European journal of obstetrics, gynecology, and reproductive biology 100:174-80, 2002
  207. Obiekwe B, Pendlebury DJ, Gordeon YB, et al.: The radioimmunoassay of placental protein 5 and circulating levels in maternal blood in the third trimester of normal pregnancy. Clinica chimica acta; international journal of clinical chemistry 95:509-16, 1979
  208. Salem HT, Seppala M, Chard T: The effect of thrombin on serum placental protein 5 (PP5): is PP5 the naturally occurring antithrombin III of the human placenta? Placenta 2:205-9, 1981
  209. Flood JT, Hodgen GD: The physiology of fertilization, implantation and early human development; in Danforth's Obstetrics and Gynecology. Edited by Scott JR, Desaia PJ. Philadelphia: JB Lippincott Company, 1990
  210. Ahima RS, Flier JS: Leptin. Annual review of physiology 62:413-37, 2000
  211. Senaris R, Garcia-Caballero T, Casabiell X, et al.: Synthesis of leptin in human placenta. Endocrinology 138:4501-4, 1997
  212. Stock SM, Bremme KA: Elevation of plasma leptin levels during pregnancy in normal and diabetic women. Metabolism: clinical and experimental 47:840-3, 1998
  213. Tamas P, Sulyok E, Szabo I, et al.: Changes of maternal serum leptin levels during pregnancy. Gynecologic and obstetric investigation 46:169-71, 1998
  214. Tamura T, Goldenberg RL, Johnston KE, et al.: Serum leptin concentrations during pregnancy and their relationship to fetal growth. Obstetrics and gynecology 91:389-95, 1998
  215. Akerman F, Lei ZM, Rao CV: Human umbilical cord and fetal membranes co-express leptin and its receptor genes. Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology 16:299-306, 2002
  216. Hardie L, Trayhurn P, Abramovich D, et al.: Circulating leptin in women: a longitudinal study in the menstrual cycle and during pregnancy. Clinical endocrinology 47:101-6, 1997
  217. Highman TJ, Friedman JE, Huston LP, et al.: Longitudinal changes in maternal serum leptin concentrations, body composition, and resting metabolic rate in pregnancy. American journal of obstetrics and gynecology 178:1010-5, 1998
  218. Hauguel-de Mouzon S, Lepercq J, Catalano P: The known and unknown of leptin in pregnancy. American journal of obstetrics and gynecology 194:1537-45, 2006
  219. Schanton M, Maymo JL, Perez-Perez A, et al.: Involvement of leptin in the molecular physiology of the placenta. Reproduction 155:R1-R12, 2018
  220. Chardonnens D, Cameo P, Aubert ML, et al.: Modulation of human cytotrophoblastic leptin secretion by interleukin-1alpha and 17beta-oestradiol and its effect on HCG secretion. Molecular human reproduction 5:1077-82, 1999
  221. Jansson N, Greenwood SL, Johansson BR, et al.: Leptin stimulates the activity of the system A amino acid transporter in human placental villous fragments. The Journal of clinical endocrinology and metabolism 88:1205-11, 2003
  222. Gnanapavan S, Kola B, Bustin SA, et al.: The tissue distribution of the mRNA of ghrelin and subtypes of its receptor, GHS-R, in humans. The Journal of clinical endocrinology and metabolism 87:2988, 2002
  223. Tanaka K, Minoura H, Isobe T, et al.: Ghrelin is involved in the decidualization of human endometrial stromal cells. The Journal of clinical endocrinology and metabolism 88:2335-40, 2003
  224. Fuglsang J: Ghrelin in pregnancy and lactation. Vitam Horm 77:259-84, 2008
  225. Winn VD, Haimov-Kochman R, Paquet AC, et al.: Gene expression profiling of the human maternal-fetal interface reveals dramatic changes between midgestation and term. Endocrinology 148:1059-79, 2007
  226. Jaffe RB: Neuroendocrine-metabolic regulation of pregnancy,; in Reproductive Endocrinology 4th ed Edited by Yen SSC JR, Barbieri RL (eds). Philadelphia: WB Saunders, 1999
  227. Fisher DA: Fetal and Neonatal Endocrinology; in Endocrinology. Edited by DeGroot LJ JJe. Philadelphia: WB Saunders, 2000
  228. Parker CR: The endocrinology of pregnancy; in Textbook of Reproductive Medicine. Edited by Carr BR, Blackwell RE. Norwalk: Appleton & Lange, 1993
  229. Tho SP, Layman LC, Lanclos KD, et al.: Absence of the testicular determining factor gene SRY in XX true hermaphrodites and presence of this locus in most subjects with gonadal dysgenesis caused by Y aneuploidy. American journal of obstetrics and gynecology 167:1794-802, 1992
  230. Jost A, Vigier B, Prepin J, et al.: Studies on sex differentiation in mammals. Recent progress in hormone research 29:1-41, 1973
  231. Baker TG: A Quantitative and Cytological Study of Germ Cells in Human Ovaries. Proceedings of the Royal Society of London Series B, Biological sciences 158:417-33, 1963
  232. Gondos B, Bhiraleus P, Hobel CJ: Ultrastructural observations on germ cells in human fetal ovaries. American journal of obstetrics and gynecology 110:644-52, 1971
  233. Johannison E: The foetal adrenal cortex in the human. Acta Endocrinol 58(Suppl. 130):7, 1968
  234. Honour JH, Wickramaratne K, Valman HB: Adrenal function in preterm infants. Biology of the neonate 61:214-21, 1992
  235. Hutchinson KA, DeCherney AH: The endocrinology of pregnancy; in Medicine of the mother and fetus. Edited by Reece EA, Hobbins JC. Philadelphia: JB Lippincott Company, 1999
  236. The morphological and functional development of the fetus. East Norwalk: Appleton & Lange, 1989
  237. Girard J: Control of fetal and neonatal glucose metabolism by pancreatic hormones. Bailliere's clinical endocrinology and metabolism 3:817-36, 1989
  238. MA. S: Carbohydrate metabolism: insulin and glucagon.; in Maternal Fetal Endocrinology 2nd ed Edited by Tulchinsky D LAe. Philadelpia: WB Saunders, 1994
  239. Alpert E, Drysdale JW, Isselbacher KJ, et al.: Human -fetoprotein. Isolation, characterization, and demonstration of microheterogeneity. The Journal of biological chemistry 247:3792-8, 1972
  240. Gitlin D, Perricelli A, Gitlin GM: Synthesis of -fetoprotein by liver, yolk sac, and gastrointestinal tract of the human conceptus. Cancer research 32:979-82, 1972
  241. Habib ZA: Maternal serum alpha-feto-protein: its value in antenatal diagnosis of genetic disease and in obstetrical-gynaecological care. Acta obstetricia et gynecologica Scandinavica 61:1-92, 1977
  242. Murgita RA, Tomasi TB, Jr.: Suppression of the immune response by alpha-fetoprotein on the primary and secondary antibody response. The Journal of experimental medicine 141:269-86, 1975
  243. Ferguson-Smith MA, Rawlinson HA, May HM, et al.: Avoidance of anencephalic and spina bifida births by maternal serum-alphafetoprotein screening. Lancet 1:1330-3, 1978
  244. Wald N, Cuckle H: AFP and age screening for Down syndrome. American journal of medical genetics 31:197-209, 1988
  245. Elster AD, Sanders TG, Vines FS, et al.: Size and shape of the pituitary gland during pregnancy and post partum: measurement with MR imaging. Radiology 181:531-5, 1991
  246. Leake RD, Weitzman RE, Glatz TH, et al.: Plasma oxytocin concentrations in men, nonpregnant women, and pregnant women before and during spontaneous labor. The Journal of clinical endocrinology and metabolism 53:730-3, 1981
  247. Zeeman GG, Khan-Dawood FS, Dawood MY: Oxytocin and its receptor in pregnancy and parturition: current concepts and clinical implications. Obstetrics and gynecology 89:873-83, 1997
  248. Glinoer D: The regulation of thyroid function in pregnancy: pathways of endocrine adaptation from physiology to pathology. Endocrine reviews 18:404-33, 1997
  249. Burrow GN, Fisher DA, Larsen PR: Maternal and fetal thyroid function. The New England journal of medicine 331:1072-8, 1994
  250. Lindsay JR, Nieman LK: The hypothalamic-pituitary-adrenal axis in pregnancy: challenges in disease detection and treatment. Endocrine reviews 26:775-99, 2005
  251. Rainey WE, Rehman KS, Carr BR: Fetal and maternal adrenals in human pregnancy. Obstetrics and gynecology clinics of North America 31:817-35, x, 2004
  252. Pepe GJ, Waddell BJ, Albrecht ED: The effects of adrenocorticotropin and prolactin on adrenal dehydroepiandrosterone secretion in the baboon fetus. Endocrinology 122:646-50, 1988
  253. Pepe GJ, Albrecht ED: Regulation of the primate fetal adrenal cortex. Endocrine reviews 11:151-76, 1990
  254. Albrecht ED, Pepe GJ: Placental steroid hormone biosynthesis in primate pregnancy. Endocrine reviews 11:124-50, 1990
  255. Carr BR, MacDonald PC, Simpson ER: The regulation of de novo synthesis of cholesterol in the human fetal adrenal gland by low density lipoprotein and adrenocorticotropin. Endocrinology 107:1000-6, 1980
  256. Carr BR, Porter JC, MacDonald PC, et al.: Metabolism of low density lipoprotein by human fetal adrenal tissue. Endocrinology 107:1034-40, 1980
  257. Parker CR, Jr., Carr BR, Winkel CA, et al.: Hypercholesterolemia due to elevated low density lipoprotein-cholesterol in newborns with anencephaly and adrenal atrophy. The Journal of clinical endocrinology and metabolism 57:37-43, 1983
  258. Simpson ER, Carr BR, Parker CR, Jr., et al.: The role of serum lipoproteins in steroidogenesis by the human fetal adrenal cortex. The Journal of clinical endocrinology and metabolism 49:146-8, 1979
  259. Winters AJ, Oliver C, Colston C, et al.: Plasma ACTH levels in the human fetus and neonate as related to age and parturition. The Journal of clinical endocrinology and metabolism 39:269-73, 1974
  260. Simpson ER, Parker CR, Jr., Carr BR: Role of lipoproteins in the regulation of steroidogenesis by the human fetal adrenal; in The Endocrine Physiology of Pregnancy and the Peripartal Period Vol 21 Serono Symposia Publications. Edited by Jaffe RB, Dell Acqua S. New York: Raven Press, 1985
  261. Nieman LK: The endocrinology of pregnancy; in Serono symposia in Reproductive Endocrinology
  262. Seron-Ferre M, Lawrence CC, Siiteri PK, et al.: Steroid production by definitive and fetal zones of the human fetal adrenal gland. The Journal of clinical endocrinology and metabolism 47:603-9, 1978
  263. Baird A, Kan KW, Solomon S: Role of pro-opiomelanocortin-derived peptides in the regulation of steroid production by human fetal adrenal cells in culture. The Journal of endocrinology 97:357-67, 1983
  264. Bugnon C, Lenys D, Bloch B, et al.: [Cyto-immunologic study of early cell differentiation phenomena in the human fetal anterior pituitary gland]. Comptes rendus des seances de la Societe de biologie et de ses filiales 168:460-5, 1974
  265. Katikineni M, Davies TF, Catt KJ: Regulation of adrenal and testicular prolactin receptors by adrenocorticotropin and luteinizing hormone. Endocrinology 108:2367-74, 1981
  266. Voutilainen R, Miller WL: Coordinate tropic hormone regulation of mRNAs for insulin-like growth factor II and the cholesterol side-chain-cleavage enzyme, P450scc [corrected], in human steroidogenic tissues. Proceedings of the National Academy of Sciences of the United States of America 84:1590-4, 1987
  267. Winters AJ, Colston C, MacDonald PC, et al.: Fetal plasma prolactin levels. The Journal of clinical endocrinology and metabolism 41:626-9, 1975
  268. Walsh SW, Norman RL, Novy MJ: In utero regulation of rhesus monkey fetal adrenals: effects of dexamethasone, adrenocorticotropin, thyrotropin-releasing hormone, prolactin, human chorionic gonadotropin, and alpha-melanocyte-stimulating hormone on fetal and maternal plasma steroids. Endocrinology 104:1805-13, 1979
  269. Liggins GC: Endocrinology of the foeto-maternal unit; in Human Reproductive Physiology. Edited by Sherman RP. Oxford: Blackwell Scientific Publications, 1972
  270. Baggia S, Albrecht ED, Pepe GJ: Regulation of 11 beta-hydroxysteroid dehydrogenase activity in the baboon placenta by estrogen. Endocrinology 126:2742-8, 1990
  271. Jost A: The fetal adrenal cortex; in Handbook of Physiology. Edited by Creep RO, Astwood WB. Washington, DC: Endocrinology Amer Physiol Soc, 1975
  272. Kondo S: Developmental studies on the Japanese human adrenals, I: ponderal growth. Bull Exp Biol 9:51, 1959
  273. Spector DVS: Handbook of Biological Data. WB Saunders, Philadelphia. 1956
  274. Fant M, Munro H, Moses AC: An autocrine/paracrine role for insulin-like growth factors in the regulation of human placental growth. The Journal of clinical endocrinology and metabolism 63:499-505, 1986
  275. Han VK, Lund PK, Lee DC, et al.: Expression of somatomedin/insulin-like growth factor messenger ribonucleic acids in the human fetus: identification, characterization, and tissue distribution. The Journal of clinical endocrinology and metabolism 66:422-9, 1988
  276. Sandman CA, Glynn L, Schetter CD, et al.: Elevated maternal cortisol early in pregnancy predicts third trimester levels of placental corticotropin releasing hormone (CRH): priming the placental clock. Peptides 27:1457-63, 2006
  277. Norwitz ER, Bonney EA, Snegovskikh VV, et al.: Molecular Regulation of Parturition: The Role of the Decidual Clock. Cold Spring Harb Perspect Med 5, 2015
  278. Berkowitz GS, Lapinski RH, Lockwood CJ, et al.: Corticotropin-releasing factor and its binding protein: maternal serum levels in term and preterm deliveries. American journal of obstetrics and gynecology 174:1477-83, 1996
  279. McGrath S, McLean M, Smith D, et al.: Maternal plasma corticotropin-releasing hormone trajectories vary depending on the cause of preterm delivery. American journal of obstetrics and gynecology 186:257-60, 2002
  280. Benedetto C, Petraglia F, Marozio L, et al.: Corticotropin-releasing hormone increases prostaglandin F2 alpha activity on human myometrium in vitro. American journal of obstetrics and gynecology 171:126-31, 1994
  281. Karalis K, Goodwin G, Majzoub JA: Cortisol blockade of progesterone: a possible molecular mechanism involved in the initiation of human labor. Nature medicine 2:556-60, 1996
  282. Case ML, MacDonald PC: Human parturition: distinction between the initiation of parturition and the onset of labor. Semin Reprod Endocrinol 11:272, 1993
  283. Olson DM, Zakar T: Intrauterine tissue prostaglandin synthesis: regulatory mechanisms. Semin Reprod Endocrinol 11:234, 1993
  284. Parker CR, Jr., Leveno K, Carr BR, et al.: Umbilical cord plasma levels of dehydroepiandrosterone sulfate during human gestation. The Journal of clinical endocrinology and metabolism 54:1216-20, 1982
  285. Mesiano S, Chan EC, Fitter JT, et al.: Progesterone withdrawal and estrogen activation in human parturition are coordinated by progesterone receptor A expression in the myometrium. The Journal of clinical endocrinology and metabolism 87:2924-30, 2002
  286. Csapo AI: Anti-progesterones in fertility control; in Pregnancy Termination: Procedures, Safety and New Developments. Edited by Zatuchn'i GI, Sciarra JJ, Speidel JJ. Hagerstown: Harper & Row, 1979
  287. Johnson JW, Austin KL, Jones GS, et al.: Efficacy of 17alpha-hydroxyprogesterone caproate in the prevention of premature labor. The New England journal of medicine 293:675-80, 1975
  288. Yemini M, Borenstein R, Dreazen E, et al.: Prevention of premature labor by 17 alpha-hydroxyprogesterone caproate. American journal of obstetrics and gynecology 151:574-7, 1985
  289. Meis PJ, Klebanoff M, Thom E, et al.: Prevention of recurrent preterm delivery by 17 alpha-hydroxyprogesterone caproate. The New England journal of medicine 348:2379-85, 2003
  290. Honnebier WJ, Swaab DF: The influence of anencephaly upon intrauterine growth of fetus and placenta and upon gestation length. The Journal of obstetrics and gynaecology of the British Commonwealth 80:577-88, 1973
  291. Ducsay CA, Seron-Ferre M, Germain AM, et al.: Endocrine and uterine activity rhythms in the perinatal period. Semin Reprod Endocrinol 11:285, 1993
  292. Honnebier MB, Nathanielsz PW: Primate parturition and the role of the maternal circadian system. European journal of obstetrics, gynecology, and reproductive biology 55:193-203, 1994
  293. Patrick J, Challis J, Campbell K, et al.: Circadian rhythms in maternal plasma cortisol and estriol concentrations at 30 to 31, 34 to 35, and 38 to 39 weeks' gestational age. American journal of obstetrics and gynecology 136:325-34, 1980
  294. Novy MJ: Hormonal regulation of parturition in primates; in Hormone Cell Interactions in Reproductive Tissues. Edited by Sciara J. New York: Masson Publishing, 1983
  295. Hirst JJ, Chibbar R, Mitchell BF: Role of oxytocin in the regulation of uterine activity during pregnancy and in the initiation of labor. Semin Reprod Endocrinol 11:219, 1993
  296. Haluska GJ, Novy MJ: Hormonal modulation of uterine activity during primate parturition. Semin Reprod Endocrinol 11:272, 1993