Archives

Sexual Dysfunction in Female Patients with Diabetes

ABSTRACT

 

Female sexual dysfunction (FSD) is a significant complication of diabetes mellitus, affecting 20-80% of women with type 2 diabetes. The condition stems from multiple factors including vascular damage, neuropathy, hormonal imbalances, and psychological aspects. Sustained hyperglycemia leads to blood vessel damage and reduces nitric oxide bioavailability, affecting vaginal blood flow and lubrication. Management requires a comprehensive approach focusing on glycemic control, lifestyle modifications, and specific interventions including lubricants, medications, and psychological support. Treatment outcomes vary based on factors such as age, diabetes duration, and complication severity. Early intervention and regular screening are essential for improved outcomes.

 

INTRODUCTION AND EPIDEMIOLOGY

 

Female sexual dysfunction (FSD) represents a significant yet often overlooked complication of diabetes mellitus that substantially impacts quality of life and relationship satisfaction. Studies indicate that women with diabetes have a markedly higher prevalence of sexual dysfunction compared to normal women. In women with type 2 diabetes mellitus (T2DM), the prevalence of FSD is about 20–80%, compared to the general female population where it is about 40% (1). However, a recent study by Derosa et al. showed that the prevalence of FSD is about 87% (2). T2DM is a bigger burden in developed regions (Europe, North America), with approximately equal gender distribution (3). The relationship between diabetes and FSD is complex and multifactorial, involving physiological, psychological, and social components. Diabetes can affect sexual function through multiple pathways including vascular complications, neurological damage, hormonal imbalances, and psychological factors associated with a chronic disease. The duration of diabetes, glycemic control, and the presence of other diabetes-related complications all play crucial roles in the development and severity of FSD. Understanding these relationships is essential for healthcare providers to effectively address this important aspect of women's health in the context of diabetes care.

 

DEFINITION

 

The definition of female sexual dysfunction (FSD) includes female sexual interest/arousal disorder (FSIAD), female orgasmic disorder, and genitopelvic pain/penetration disorder. To be considered dysfunctional, these symptoms must cause distress and must occur at least 75% of the time over a 6-month period. This definition has been in place since the development of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) in 2013. Thus, incidence and prevalence data based on this definition are developing (4) Prevalence of FSD is seen in women of reproductive age, which also include perimenopausal women although menopausal and postmenopausal women are also affected by FSD. Female Sexual Dysfunction is classified as Primary (occurring independently without medical or psychiatric causes) or Secondary (resulting from medical conditions, psychiatric disorders, or medications/ substances) (5).

 

PATHOPHYSIOLOGY AND CLINICAL MANIFESTATIONS

 

The World Health Organization (WHO) declared human sexuality to be part of health quality and well-being in 1974 (WHO meeting on education and treatment in human sexuality) (6). In women, sexual function depends on different physiological circumstances such as vaginal hemodynamics and neurologic innervation, and the activity of genital and pelvic structures (7). Female sexual dysfunction in women with diabetes stems from decreased clitoral blood flow due to vascular damage and peripheral neuropathy affecting the hypo gastric- vaginal/clitoral arterial bed. Despite these known mechanisms, research remains limited, with most studies having small sample sizes and focusing on specific factors rather than comprehensive analysis (8). Blood vessel damage from diabetes is a major cause of sexual problems in both men and women. Underlying atherosclerosis may be suggested by measuring two enzymes called paraoxonase-1 (PON-1) and arylesterase (ARE), which are usually lower in diabetic patients with blood vessel problems (9). PON is an enzyme that helps break down harmful substances, particularly one called paraoxon. PON comes in three forms (PON-1, PON-2, and PON-3). Low levels of PON-1 signal various health problems, including diabetes, heart disease, kidney problems, arthritis, metabolic issues, or thyroid dysfunction (10). PON-1 and ARE contribute to the protective effect of HDL against atherosclerosis. A study by Ciftci and colleagues observed a negative correlation between PON-1 activity and erectile dysfunction (ED), along with a correlation between PON-1 activity and HDL levels, while LDL levels were higher in the ED group compared with the control group (11).

 

When blood glucose levels stay high for a long time, it damages cells in two main ways: by creating advanced glycation end products (AGEs), and by causing oxidative stress. This damages blood vessels and nerves that are important for the sexual response. High blood glucose also makes the vagina dry and more prone to infections, which can make sex uncomfortable. Research shows that keeping blood glucose levels steady and well-controlled can help prevent or reduce these sexual problems (12). There are some studies that correlate better glycemic control with lower incidence of FSD and better outcomes (13).

 

In diabetes, endothelial damage makes it harder for blood vessels to relax and allow proper blood flow during sexual arousal. This happens because nitric oxide causes vasodilation and in patients with diabetes reduced nitric oxide bioavailability and reduced endothelial signaling hinder normal blood vessel relaxation during sexual excitation, resulting in decreased vaginal blood flow and lubrication. At the same time, diabetes harms nerves in the genital area, reducing sensation and natural sexual responses. Both issues together make sexual function more difficult (14).

 

Dyspareunia in postmenopausal women primarily stems from genitourinary syndrome of menopause (GSM), characterized by progressive vulvovaginal atrophy due to estrogen deficiency. The decline in estrogen leads to thinning of vaginal epithelium, reduced elasticity, decreased lubrication, and increased vaginal pH. These changes result in symptoms including vaginal dryness, burning, irritation, and pain during intercourse. This condition affects postmenopausal women and often goes underreported and undertreated. Unlike vasomotor symptoms, GSM is progressive and doesn't resolve without intervention. The impact on sexual function can be significant, leading to reduced sexual activity, relationship strain, and decreased quality of life.

 

T2DM frequently causes hormonal abnormalities, which might contribute to sexual dysfunction. Insulin resistance and hyperinsulinemia affect the hypothalamic–pituitary–ovarian axis, altering sex hormone levels (mainly estrogen) and to lessor degree progesterone and testosterone. Women with androgen excess and males with androgen insufficiency have the same cardiometabolic characteristics. The proper balance of estrogens and androgens is critical for maintaining energy metabolism, body composition, and sexual function. These changes can lead to diminished sexual desire, vaginal dryness, and poor genital responsiveness. (15)

 

Many women report a combination of symptoms that may worsen with poor glycemic control and duration of diabetes. The interaction between physiological changes and psychological factors, such as diabetes-related stress, body image concerns, and relationship dynamics, creates a complex clinical picture that requires comprehensive evaluation and management (figure 1).

 

Figure 1. Proposed mechanisms of FSD in patients with Type 2 DM.

 

DIAGNOSIS AND ASSESSMENT

 

A systematic approach to diagnosing FSD in women is essential for effective management. The diagnostic process should begin with a detailed medical history, including diabetes control, complications, medications, and comorbidities. Sexual history should be obtained sensitively, addressing the nature and timeline of sexual concerns, relationship factors, and impact on quality of life. Validated assessment tools such as the Female Sexual Function Index (FSFI) (16), the Sexual Function Questionnaire (16), female Orgasm Scale (17), and Multidimensional Vaginal Penetration Disorder Questionnaire (18) can provide objective measures of sexual dysfunction and help monitor treatment outcomes. Physical examination should include evaluation of vaginal health, signs of neuropathy, and vascular status. Laboratory assessments should include glycemic control markers (HbA1c), hormonal status (especially in perimenopausal women), and screening for other endocrine disorders that may contribute to sexual dysfunction. Psychological assessment is crucial, as depression, anxiety, and diabetes-related distress frequently co-exist with FSD. The diagnostic process should also consider cultural and social factors that may influence sexual function and help-seeking behavior. Healthcare providers should maintain a non- judgmental, culturally sensitive approach while conducting these assessments to ensure accurate diagnosis and appropriate treatment planning.

 

DIFFERENT DOMAINS OF FEMALE SEXUAL DYSFUNCTION

 

Sexual dysfunction (SD) is classified by two main medical systems (19):

 

  1. DSM (The Diagnostic and Statistical Manual of Mental Disorders)
  2. ICD (International Classification of Diseases), version 11

 

Both systems organize sexual problems based on the natural stages of sexual activity, from initial arousal through to orgasm. The conditions are divided into four main groups of sexual disorders (20).

 

DOMAIN 1: DESIRE PROBLEMS

 

  • Definition: Persistent lack of sexual thoughts/fantasies
  • Types:
    • Hypoactive Sexual Desire Disorder (HSDD)
    • Sexual Aversion Disorder (SAD)
  • Assessment Tool: Sexual Function Questionnaire (SFQ-V1) (16)

 

DOMAIN 2: AROUSAL ISSUES

 

  • Definition: Problems with physical/mental sexual excitement
  • Symptoms: Poor genital response, lack of interest
  • Assessment Tool: Female Sexual Function Index (FSFI) (16)

 

DOMAIN 3: ORGASM DIFFICULTIES

  • Types:
    • Primary: Lifelong inability
    • Secondary: Acquired problem
  • Definition: Absent/delayed/reduced orgasms
  • Assessment Tool: Female Orgasm Scale (17)

 

DOMAIN 4: PAIN CONDITIONS

  • Definition: Pain during sexual activity
  • Symptoms:
    • Pelvic muscle spasms
    • Entry pain
    • Fear of penetration
  • Assessment Tool: Multidimensional Vaginal Penetration Disorder Questionnaire (18)

 

Female sexual dysfunction classifications have evolved significantly. Recent systems (ICSM, ISSWSH, ICD-11) separate desire from arousal issues and emphasize sexual distress as crucial for diagnosis. ICD-11 introduced a new sexual health chapter, while experts have defined new subtypes of arousal disorders (FCAD, FGAD) (19,20) (table 1).

 

Table 1. The Main Classifications of Female Sexual Dysfunction

ICD

DSM

ICSM

ISSWSH

ICD-10

ICD-11(PROPOSED)

DSM-V

Fourth ICSM

ISSWSH-2016

ISSWSH-2018

Lack or loss of sexual desire

Hypoactive sexual desire disorder

Female sexual interest/arousal disorder

Hypoactive sexual desire dysfunction

Hypoactive sexual desire disorder

Hypoactive sexual desire disorder

Sexual aversion

Recommended for deletion

Female orgasmic    disorder

Female sexual arousal dysfunction

Female genital arousal disorder

Female sexual arousal disorder:

-female cognitive arousal disorder

-female genital arousal disorder

Lack of sexual enjoyment

Female sexual arousal dysfunction

Genito-pelvic penetration disorder

Female orgasmic dysfunction

Persistent genital arousal disorder

Persistent genital arousal disorder

Failure of sexual response

Female genital-pelvic pain dysfunction

Female orgasm disorder

Female orgasm disorder

Orgasmic dysfunction

Orgasmic dysfunction

Persistent genital arousal disorder

Female orgasmic illness syndrome

Female orgasmic illness syndrome

Non organic vaginismus

Sexual pain penetration disorder

Postcoital syndrome(post-orgasmic illness syndrome)

 

TREATMENT STRATEGIES AND MANAGEMENT

 

Management of FSD in  women requires a comprehensive, individualized approach addressing the underlying diabetes-related factors and specific sexual concerns. The cornerstone of treatment is optimizing glycemic control through appropriate diabetes management, as improved metabolic control often correlates with better sexual function. Lifestyle modifications, including regular exercise, smoking cessation, and stress reduction, can improve glycemic control and sexual health.

 

Specific treatments for sexual dysfunction may include vaginal moisturizers and lubricants for vaginal dryness, pelvic floor physical therapy for dyspareunia, and medications to address specific sexual concerns where appropriate. Hormonal therapy may be considered in post-menopausal women after careful risk assessment. For female sexual dysfunction in diabetes, treatments include PDE-5 inhibitors. Studies using animal models of female sexual response suggest the physiological effects of PDE5 on vaginal and clitoral tissues are similar to those observed in males (figure 2); therefore, it is unlikely that the lack of effects of PDE5 on women's sexual functioning could be related to gender differences in the physiological effects of PDE5. NO synthase (NOS) is active in the vaginal epithelium, and the PDE5 enzyme has been identified in vaginal smooth muscle tissue and the clitoral shaft (21). The various PDE5 inhibitors that have been evaluated in clinical trials in this population have included sildenafil, tadalafil, vardenafil, udenafil, mirodenafil and avanafil (21,32).

 

Figure 2. Mechanism of PDE-5 in Female Sexual dysfunction.

 

Blood flow for better arousal and orgasm, while topical estrogen treatments address vaginal dryness and tissue health. Sexual aids such as vibrators or other similar devices can be beneficial for some women in enhancing sexual pleasure (21,22). Psychological interventions, including cognitive behavioral therapy, sex therapy, and relationship counseling play vital roles in addressing the psychological aspects of FSD. Management of concurrent conditions such as depression, anxiety, and other diabetes complications is essential. Patient education about the relationship between diabetes and sexual health, along with strategies for maintaining intimate relationships despite chronic illness, should be integrated into the treatment plan. Regular follow-up is necessary to monitor progress and adjust interventions as needed.

 

PREVENTION, PROGNOSIS, AND FUTURE DIRECTIONS

 

Prevention of FSD in  women focuses on maintaining optimal glycemic control, early detection of complications, and addressing modifiable risk factors. Regular screening for sexual concerns should be integrated into routine diabetes care to enable early intervention. The prognosis varies depending on multiple factors including age, duration, severity of diabetes, presence of complications, and effectiveness of interventions. Research suggests that early intervention and comprehensive management can improve sexual function and quality of life for many women (23). Emerging areas of research include novel therapeutic approaches such as growth factors for vaginal health, new drug delivery systems, and innovative psychological interventions.

 

Pharmacological strategies include ospemifene, a selective estrogen receptor modulator, that has been shown to be effective for the treatment of vulvovaginal atrophy in postmenopausal women with vaginal dryness (24) or flibanserin, a 5-HT1A agonist/5-HT2A antagonist, for women with hypoactive sexual desire (25) Future directions in management may involve personalized medicine approaches based on individual risk factors and response patterns. Additionally, there is a growing recognition of the need for better integration of sexual health care into diabetes management programs and improved training for healthcare providers in addressing these concerns. The development of new assessment tools and treatment modalities specifically tailored for diabetic women with FSD continues to be an active area of research. Understanding the long-term outcomes of various interventions and identifying factors that predict treatment success remain important goals for future studies.

 

Table 2. Recent Advances in Pharmacotherapy  For FSD

Drug name

Flibanserin (26.27)

Bremelanotide (27,28)

Testosterone (Off-label) (27,29,30)

Ospemifene

(31)

PDE5 Inhibitors

(32)

Brand Name

Addyi

Vyleesi

Various

Osphena

Viagra , Cialis

Indication

Premenopausal HSDD

Premenopausal HSDD

Postmenopausal sexual dysfunction

• Low libido

• Used off-label in US

Moderate-severe dyspareunia and VVA in postmenopausal women

• SSRI-induced FSD

• Diabetic FSD

• Arousal disorders

Administration

100mg oral daily at bedtime

1.75mgSC injection 45 min before activity; max 8/month

• Various formulations

• Creams, gels, implants

• 0.5-2% of male doses

60mg oral daily with food

Viagra:

• Start 25mg 1-2 hours before activity

Cialis:

• 2.5-5mg daily

 

Mechanism

• 5-HT1A agonist

• 5-HT2A antagonist

• Modulates serotonin, dopamine, norepinephrine

Melanocortin-4 receptor agonist

Androgenic effects on sexual response and libido

• SERM

• Vaginal estrogen agonist

• Breast estrogen antagonist

FIG 2

Common Side Effects

• Dizziness

• Somnolence

• Nausea

• Hypotension

• Nausea (40%)

• Flushing

• Injection site reactions

• Headache

• Acne

• Hirsutism

• Voice changes

• Clitoral enlargement

• Hot flashes

• Vaginal discharge

• Muscle spasms

• Hyperhidrosis

• Headache

•Flushing

• Nasal congestion

•Dyspepsia

• Visual changes

Contraindications

• Alcohol use

• Hepatic impairment

• Hypotension

• Uncontrolled hypertension

• CVD

• hypersensitivity

• Active breast cancer

• Severe liver disease

• Pregnancy

• Abnormal bleeding

• Estrogen-dependent neoplasia

• Active DVT/PE

• Arterial thromboembolism

• Nitrate use

•Hypotension

• Recent stroke/MI

• High-risk cardiac disease

Drug Interactions

• CYP3A4 modulators

• CNS depressants

• Alcohol (severe)

• Limited

• Caution with antihypertensives

• Anticoagulants

• Insulin

• Corticosteroids

•CYP3A4/2C9/2C19 inhibitors

• Estrogens

• High-fat meals affect absorption

• Nitrates

• Alpha blockers

• Strong CYP3A4 inhibitors

• HIV protease inhibitors

Monitoring Needs

• BP monitoring

• Liver function

• Alcohol use

• BP monitoring

• Nausea management

• Testosterone levels

• Lipids

• Liver function

• CBC

• Breast exams

• Annual gynecologic exam

• Abnormal bleeding

• Thromboembolic symptoms

• BP monitoring

• Nausea monitoring

Best Use Case

Premenopausal women who can abstain from alcohol

Premenopausal women who prefer on-demand treatment

Postmenopausal women with low T and no contraindications

Postmenopausal women with VVA who can't use vaginal estrogen

•SSRI-induced FSD

• Diabetic FSD

• Arousal disorders

FDA approved

In 2015, flibanserin became the first agent to gain approval from the U.S. Food and Drug Administration (FDA) for the treatment of HSDD

A newly approved pharmaceutical option for treatment of HSDD in premenopausal women

The off-label use of testosterone to increase sexual desire in postmenopausal women is supported by evidence as well as several professional societies.

Approved by the FDA for the treatment of dyspareunia (painful intercourse) in postmenopausal women

Not FDA approved for FSD

 

ASSOCIATION OF FSD IN TYPE 1 DIABETES MELLITUS

 

Female sexual dysfunction (FSD) in Type 1 diabetes mellitus represents a complex clinical challenge affecting reproductive health, quality of life, and intimate relationships. The condition encompasses multiple sexual health disorders including decreased libido, arousal difficulties, orgasmic dysfunction, and dyspareunia (33).

 

The pathophysiological mechanisms are intricate and interconnected:

 

Vascular Changes: Chronic hyperglycemia causes endothelial dysfunction and reduced nitric oxide production, leading to decreased vaginal and clitoral blood flow. This impairs arousal response and natural lubrication, often resulting in vaginal dryness and discomfort during intercourse.

 

Neurological Impact: Diabetic neuropathy affects both autonomic and peripheral nervous systems. Autonomic neuropathy disrupts sexual response by impairing genital blood flow regulation and vaginal lubrication. Peripheral neuropathy reduces genital sensation, affecting arousal and orgasmic capacity.

 

Hormonal Alterations: Type 1 DM can affect hypothalamic-pituitary-ovarian axis function, potentially leading to irregular menstruation and altered sex hormone levels. This may contribute to reduced libido and vaginal atrophy.

 

Psychological Factors: Women with Type 1 DM often experience higher rates of depression, anxiety, and poor body image, which significantly impact sexual desire and satisfaction. The burden of disease management and fear of complications can create psychological barriers to intimate relationships.

 

Treatment Considerations: Management requires a comprehensive approach including:

  • Optimal glycemic control
  • Regular screening for complications
  • Psychological support
  • Sexual health counseling
  • Treatment of specific symptoms (e.g., lubricants for vaginal dryness)
  • Partner involvement in treatment planning

 

Early recognition and intervention are crucial for preventing progression and maintaining sexual health in women with Type 1 DM.

 

REFERENCES

 

  1. Pontiroli, A.E.; Cortelazzi, D.; Morabito, A. Female Sexual Dysfunction and Diabetic Review and Meta-Analysis. J. Sex. Med. 2013, 10, 1044–1051.
  2. Derosa, G.; Romano, D.; D’angelo, A.; Maffioli, P. Female Sexual Dysfunction in Subjects with Type 2 Diabetes Mellitus. Sex. Disabil. 2023, 41, 221–233.
  3. Ong, K.L.; Stafford, L.K.; McLaughlin, S.A.; Boyko, E.J.; Vollset, S.E.; Smith, A.E.; Dalton, B.E.; Duprey, J.; Cruz, J.A.; Hagins, H.; et al. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: A systematic analysis for the Global Burden of Disease Study 2021. Lancet 2023, 402, 203–234.
  4. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. Fifth Edition, Text Revision. Washington, DC: American Psychiatric Publishing; 2022.)
  5. Rahmanian, E.; Salari, N.; Mohammadi, M.; Jalali, R. Evaluation of Sexual Dysfunction and Female Sexual Dysfunction Indicators in Women with Type 2 Diabetes: A Systematic Review and Meta-Analysis. Diabetol. Metab. Syndr. 2019, 11, 1–17.
  6. Education and treatment in human sexuality: the training of health professionals. Geneva: World Health Organization; 1975 (http://apps.who. int/iris/bitstream/10665/38247/1/WHO_TRS_572_eng.pdf, accessed 14 June 2017)).
  7. Cortelazzi D, Marconi A, Guazzi M, Cristina M, Zecchini B, Veronelli A, et al. Sexual dysfunction in pre-menopausal diabetic women: clinical, metabolic, psychological, cardiovascular, and neurophysiologic correlates. Acta Diabetol. 2013;50(6):911-7.
  8. Kaya C, Yilmaz G, Nurkalem Z, Ilktac A, Karaman M. Sexual function in women with coronary artery disease: a preliminary study. Int J Impot Res. 2007;19(3):326-9.
  9. Mackness M, Mackness B. Paraoxonase 1 and atherosclerosis: is the gene or the protein more important?
  10. Ng CJ, Shih DM, Hama SY, Villa N, Navab M, Reddy ST. The paraoxonase gene family and atherosclerosis. Free Radic Biol Med. 2005;38(2):153-63
  11. Ciftci H, Yeni E, Savas M, Verit A, Celik H. Paraoxonase activity in patients with erectile dysfunction. Int J Impot Res. 2007;19(5):517-20.
  12. Faselis, C.; Katsimardou, A.; Imprialos, K.; Deligkaris, P.; Kallistratos, M.; Dimitriadis, K. Microvascular Complications of Type 2 Diabetes Mellitus. Curr. Vasc. Pharmacol. 2019, 18, 117–
  13. Veronelli, A.; Mauri, C.; Zecchini, B.; Peca, M.G.; Turri, O.; Valitutti, M.T.; Dall’Asta, C.; Pontiroli, E. Sexual Dysfunction Is Frequent in Premenopausal Women with Diabetes, Obesity, and Hypothyroidism, and Correlates with Markers of Increased Cardiovascular Risk. A Preliminary Report. J. Sex. Med. 2009, 6, 1561–1568.
  14. Gardner, D.G.; Shoback, D. Greenspan’ s Basic & Clinical Endocrinology, 10th ed.; McGraw-Hill Education: New York, NY, USA, 2018.
  15. Rogoznica M, Perica D, Borovac B, Belančić A, Matovinović M. Sexual dysfunction in female patients with type 2 diabetes mellitus—sneak peek on an important quality of life determinant. Diabetology (Internet). 2023 (cited 2024 Nov 5);4(4):527–36
  16. Rosen, R.; Brown, C.; Heiman, J.B.; Leiblum, S.; Meston, C.; Shabsigh, R.; Ferguson, D.; D’Agostino, R., Jr. The Female Sexual Function Index (FSFI): A Multidimensional Self-Report Instrument for the Assessment of Female Sexual Function. J. Sex Marital Ther. 2000, 26, 191– 208.
  17. Mcintyre-Smith A, Fisher WA. Female orgasm scale. In: Handbook of Sexuality-Related Measures. 3rd ed. New York, NY: Routledge; 2011
  18. Molaeinezhad M, Roudsari RL, Yousefy A, Salehi M, Khoei EM. Development and validation of the multidimensional vaginal penetration disorder questionnaire (MVPDQ) for assessment of lifelong vaginismus in a sample of Iranian women. J Res Med Sci. 2014; 19:336-348.
  19. Parish, S.J.; Goldstein, A.T.; Goldstein, S.W.; Goldstein, I.; Pfaus, J.; Clayton, A.H.; Giraldi, A.; Simon, J.A.; Althof, S.E.; Bachmann, G.; et al. Toward a more evidence-based nosology and nomenclature for female sexual dysfunctions: Part II. J. Sex. Med. 2016, 13, 1888–1906. (Google Scholar) (CrossRef) (PubMed) (Green Version)
  20. Zamponi, V.; Mazzilli, R.; Bitterman, O.; Olana, S.; Iorio, C.; Festa, C.; Giuliani, C.; Mazzilli, F.; Napoli, A. Association between type 1 diabetes and female sexual dysfunction. BMC Womens Health 2020, 20, 73. (Google Scholar) (CrossRef) (PubMed) (Green Version)
  21. Rosen, R. C., & Kostis, J. B. (2003). Overview of phosphodiesterase 5 inhibition in erectile dysfunction. The American Journal of Cardiology, 92(9), 9–18. https://doi.org/10.1016/s0002-9149(03)00824-5)
  22. Bhugra, D.; Colombini, G. Sexual Dysfunction: Classification and Assessment. Adv. Psychiatr. Treat. 2013, 19, 48–55.
  23. Vafaeimanesh, J.; Raei, M.; Hosseinzadeh, F.; Parham, M. Evaluation of Sexual Dysfunction in Women with Type 2 Diabetes. Indian J. Endocrinol. Metab. 2014, 18, 175–179.
  24. Portman, D.; Palacios, S.; Nappi, R.E.; Mueck, A.O. Ospemifene, a non-oestrogen selective oestrogen receptor modulator for the treatment of vaginal dryness associated with postmenopausal vulvar and vaginal atrophy: A randomised, placebo-controlled, phase III trial. Maturitas 2014, 78, 91–98.
  25. Katz, M.; DeRogatis, L.R.; Ackerman, R.; Hedges, P.; Lesko, L.; Garcia, M., Jr.; Sand, M. BEGONIA trial investigators. Efficacy of flibanserin in women with hypoactive sexual desire disorder: Results from the BEGONIA trial. J. Sex. Med. 2013, 10, 1807–1815
  26. Invernizzi RW, Sacchetti G, Parini S, Acconcia S, Samanin R. Flibanserin, a potential antidepressant drug, lowers 5-HT and raises dopamine and noradrenaline in the rat prefrontal cortex dialysate: role of 5-HT1A receptors. British Journal of Pharmacology. 2003;139(7):1281– 1288. (PubMed: 12890707)
  27. Pettigrew, J. A., & Novick, A. M. (2021). Hypoactive sexual desire disorder in women: Physiology, assessment, diagnosis, and treatment. Journal of Midwifery & Women’s Health, 66(6), 740–748. https://doi.org/10.1111/jmwh.13283
  28. Vyleesi: Highlights of Prescribing Information. In: Cranbury, NJ: Palatin Technologies, Inc.; 2021.
  29. Davis SR, Worsley R, Miller KK, Parish SJ, Santoro N. Androgens and Female Sexual Function and Dysfunction—Findings From the Fourth International Consultation of Sexual Medicine. The Journal of Sexual Medicine. 2016;13(2):168–178. (PubMed: 26953831)
  30. Davis SR, Baber R, Panay N, et al. Global Consensus Position Statement on the Use of Testosterone Therapy for Women. The Journal of Clinical Endocrinology & Metabolism. 2019;104(10):4660–4666. (PubMed: 31498871)
  31. Elliott, W. T. A. D. C. (2013, March). Pharmacology Update: Ospemifene Tablets (OsphenaTM). 35(6)
  32. Balhara, Y. P., Sarkar, S., & Gupta, R. (2015). Phosphodiesterase-5 inhibitors for erectile dysfunction in patients with diabetes mellitus: A systematic review and meta-analysis of randomized controlled trials. Indian Journal of Endocrinology and Metabolism, 19(4), 451. https://doi.org/10.4103/2230-8210.159023
  33. Zhang, X., Zhu, Z., Tang, G., & Xu, H. (2023). Prevalence and predictors of sexual dysfunction in females with type 1 diabetes: a systematic review and meta-analysis. The Journal of Sexual Medicine, 20(9), 1161–1171. https://doi.org/10.1093/jsxmed/qdad104

Growth and Growth Disorders

ABSTRACT

 

The process of growth is complex and is influenced by various factors that act centrally and peripherally.  In this chapter, we describe conditions associated with multiple pituitary hormone deficiency, isolated growth hormone deficiency, and abnormal growth without growth hormone deficiency, discuss the genes that are associated with these conditions, and prepare guidelines for the clinicians to evaluate a child with poor growth. In addition, we review treatment modalities, daily vs weekly, for growth hormone deficiency and their side effects.

 

INTRODUCTION

 

Human growth starts at conception and proceeds through various identifiable developmental stages. The process of growth depends on both genetic and environmental factors that combine to determine an individual’s eventual height. Genetic control of statural growth is becoming increasingly clear. Many genes have been identified that are required for normal development and function of the pituitary in general, and that control the growth hormone/insulin-like growth factor axis in particular and many more that are involved in numerous cascades of intracellular processes “downstream” of GH/IGF1 action. Mutations of these genes have been shown to be responsible for abnormal growth in humans and animals.

 

Growth hormone (GH) has been used to treat short children since the late 1950’s (1,2). Initially only those children with the most pronounced growth failure due to severe growth hormone deficiency (GHD) were considered appropriate candidates, but with time children with growth failure from a range of conditions have been shown to benefit from GH treatment. GH has also been used to treat several catabolic diseases including cystic fibrosis, inflammatory bowel disease and AIDS wasting (3–7). Here we review the physiology of growth, the diagnosis of GH deficiency, treatment options and genetic growth hormone disorders.

 

GROWTH DISORDERS

 

Growth failure may be due to genetic mutations, acquired disease and/or environmental deficiencies. Growth failure may result from a failure of hypothalamic growth hormone-releasing hormone (GHRH) production or release, from (genetic or sporadic) mal-development of the pituitary somatotropes, secondary to ongoing chronic illness, malnutrition, intrinsic abnormalities of cartilage and/or bone such as osteo-chondrodysplasias, and from genetic disorders affecting growth hormone production and responsiveness. Children without any identifiable cause of their growth failure are commonly labeled as having idiopathic short stature (ISS).

 

Genetic factors affecting growth include pituitary transcription factors (PROP1, POU1F1, HESX1, LHX3, and LHX4), GHRH, the GH secretagogue (GHS), GH, insulin like growth factor-1 (IGF1), insulin like growth factor-2 (IGF2), insulin (INS) and their receptors (GHRHR, GHSR, GHR, IGF1R, IGF2R and INSR) as well as transcription factors controlling GH signaling, including STAT1, STAT3, STAT5a, and STAT5b. Growth is also influenced by other factors such as the Short Stature Homeobox, sex steroids (estrogens and androgens), glucocorticoids and thyroid hormone.

 

Since the replacement of human pituitary-derived GH with recombinant human GH, much experience has been gained with the use of GH therapy. The Food and Drug Administration (FDA) had expanded GH use for the following conditions for children (8).

 

  1. GH deficiency/insufficiency
  2. Chronic renal insufficiency (pre-transplantation)
  3. Turner syndrome
  4. SHOX haploinsufficiency
  5. Short stature from Prader-Willi Syndrome (PWS)
  6. Children with a history of fetal growth restriction (SGA, IUGR) who have not caught up to a normal height range by age 2 years
  7. Children with idiopathic short stature (ISS): height > 2.25 SD below the mean in height and unlikely to catch up in height.
  8. Noonan Syndrome
  9.  Short Bowel Syndrome

 

FDA approved conditions for GH treatment for adults:

 

  1. Adults with GH deficiency
  2. Adults with AIDS wasting

 

The efficacy of GH treatment has been investigated in children whose height has been compromised due to chronic illnesses such as Crohn’s disease, cystic fibrosis, glucocorticoid-induced suppression of growth in other disorders (asthma and juvenile idiopathic arthritis (JIA), also known as juvenile rheumatoid arthritis (JRA)), and adrenal steroid disorders such as congenital adrenal hyperplasia (CAH). Studies have shown both anabolic effects and improvement of growth velocity after GH treatment in children with glucocorticoid dependent Crohn’s disease (3,9,10). Improvement in linear growth has also been observed after GH treatment in children with cystic fibrosis and JIA (4–6). The same studies have shown significant improvement in weight gain and body composition, changes that have been variably correlated with improvement in life expectancy and quality of life.

 

The growth-suppressing effects of glucocorticoids are also seen in children affected with CAH where high androgens both increase short-term growth velocity and limit the height potential. Most patients with CAH complete their growth prematurely and are ultimately short adults. Lin-Su et al, showed that GH in combination with LHRHa significantly improved their final adult height in children with CAH (11).

 

Larger, long-term prospective studies are needed to determine the safety and efficacy of GH treatment in these populations of children.

 

The key mediator of GH action in the periphery for both prenatal and postnatal mammalian growth is IGF system. GH exerts its direct effects at the growth plate and indirect effects via IGF1. Better understanding the role of IGF1 on growth had led to the concept of IGF1 deficiency in addition to GH deficiency. With the introduction of recombinant human (rh) IGF1, today, it is possible to treat conditions due to genetic GH resistance or insensitivity caused by GH receptor defects, and the presence of neutralizing GH antibodies (12). 

 

MULTIPLE PITUITARY HORMONE DEFICIENCY (MPHD)

 

GH deficiency may occur in combination with other pituitary hormone deficiencies and is often referred to as hypopituitarism, panhypopituitarism or multiple pituitary hormone deficiency (MPHD).

 

The anterior portion of pituitary gland forms from Rathke's pouch around the third week of gestation (13). It is influenced by the expression of numerous transcription factors and signaling molecules; some of them required for continued normal function of pituitary gland.  Mutations have been identified in the genes encoding several pituitary transcription factors and signaling molecules, including GLI2, LHX3, LHX4, HESX1, PROP1, POU1F1, SOX2, PITX2, OTX2 and SOX3 (Table 1). The most frequently mutated gene is PROP1 (6.7% in sporadic and 48.5% in familial cases) (14).

 

Most cases of hypopituitarism are idiopathic in origin; however, familial inheritance, which may be either dominant or recessive, accounts for between 5 and 30% of all cases (15).  It may present early in the neonatal period with symptoms of hypoglycemia, micropenis in males, prolonged jaundice, with/without midline defects or later in childhood with poor feeding, growth failure, or delayed puberty.  It can be associated with single or multiple pituitary hormone deficiencies, and endocrinopathy.  It may be associated with several other congenital anomalies such as optic nerve hypoplasia, anophthalmia, microphthalmia, agenesis of the corpus callosum, and absence of the septum pellucidum. 

 

Table 1. Transcription Factors Required for Normal Pituitary Development

Transcription Factors 

Function

GLI2

Essential for the forebrain and early stages of the anterior pituitary development

LHX3

Essential for the early development of the anterior pituitary, including the somatotrope, thyrotrope, lactotrope and the gonadotrope (but not the corticotrope)

LHX4

Essential for the proliferation of the anterior pituitary cell types, including the somatotrope, thyrotrope and the corticotrope

 

HESX1

Essential for the development of the anterior pituitary, including the somatotrope, thyrotrope, lactotrope and the gonadotrope

PROP1

Essential for the development of most cell types of the anterior pituitary, including the somatotrope, the thyrotrope, the lactotrope and the gonadotrope (but not the corticotrope). Also essential for the expression of the PIT1 protein and the extinction of HESX1 in the anterior pituitary

POU1F1 (PIT1)

Necessary for somatotrope, lactotrope and thyrotrope development and for their continued function

SOX2

Essential for the expression of POU1F1 and the development of the gonadotrope

PITX2

Necessary for the development of gonadotrope, somatotrope, lactotrope and thyrotrope

OTX2

Transactivates HESX1 and POU1F1

SOX3

Essential for the early formation of hypothalamic-pituitary axis

 

GLI2

 

GLI2 is a transcription factor, mediating Sonic Hedgehog (SHH) signaling and is necessary for forebrain development as well as for the early stages of pituitary development (16).  It is located on the long arm of chromosome 2 at position q14, (Figure 1). The clinical phenotype of persons with mutations in GLI2 may vary from asymptomatic individuals to isolated GH deficiency to hypopituitarism in combination with a small anterior pituitary, ectopic posterior pituitary, midfacial hypoplasia, anophthalmia, holoprosencephaly, and polydactyly (17–19).

Figure 1. The GLI2 gene.

LHX3

 

LHX3 is a member of the LIM family of HomeoboX transcription factors. The LHX3 gene is located on 9q34.3, comprises 7 exons (including two alternative exon 1's, 1a and 1b) and encodes a protein of 402 amino acids (Figure 2. LHX3 is expressed in the developing Rathke's pouch and is required for the development of most anterior pituitary cell types, including the somatotrope, the thyrotrope, the lactotrope and the gonadotrope (but notably not the corticotrope). LHX3binds as a dimer, synergizing with POU1F1 (PIT1). Two unrelated families with MPHD were identified in 2000 (20) as harboring mutations in LHX3. The affected members of the family manifested severe growth retardation in association with restricted rotation of the cervical spine and a variable degree of sensory neural hearing loss. Inheritance is consistent with an autosomal recessive pattern of inheritance and of note one individual was found to have an enlarged pituitary. Recently, a new mutation in LHX3 was described in a child with hypointense pituitary lesion, focal amyotrophy and mental retardation in addition to neck rigidity and growth retardation (21). These clinical findings expand the phenotype associated with mutations in LHX3.

Figure 2. The LHX3 Gene.

LHX4

 

LHX4 also has a critical role in the development of anterior pituitary cells and is co-expressed with LHX3 in Rathke's pouch in an overlapping but not wholly redundant pattern. Raetzman et al showed overlapping functions with PROP1 in early pituitary development but also observed that their mechanisms of action were not identical (22). While LHX4 is necessary for cell survival, LHX3 expression is required for cell differentiation (23). The pituitary hypoplasia seen in LHX4 mutants results from increased cell death and reduced differentiation due to loss of LHX3 (22). However, PROP1mutants exhibit normal cell proliferation and cell survival but show evidence of defective dorsal-ventral patterning (22). In the absence of both LHX4 and LHX3 genes, no specification of corticotropes, gonadotropes or thyrotropes occurs in the anterior lobe. Although both LHX3 and LHX4 are crucial for the development of pituitary gland, LHX3 is expressed at all stages studied, whereas LHX4 expression is transient at 6 weeks of development (24). LHX4 is located on 1q25 and comprises 6 exons spread over a 45 kb genomic region (Figure 3). An intronic splice site mutation has been described in one family, manifesting GH, TSH and ACTH deficiency, along with cerebellar and skull defects. The mutation is transmitted as an autosomal dominant condition, with complete penetrance. Interestingly, a heterozygous mutant mouse model had no discernable phenotype, while homozygous loss of function in the mouse was fatal (25).

Figure 3. The LHX4 Gene.

HESX1

 

HESX1 (HomeoboX gene expressed in Embryonic Stem cells), also referred to as RPX1 (Rathke's Pouch HomeoboX) is necessary for the development of the anterior pituitary. RPX1 comprises 4 exons and encodes a protein of 185 amino acids that features both a homeodomain as well as a repressor domain and is located on chromosome 3p21.2 (Figure 4). The extinguishing of HESX1 requires the appearance of another pituitary transcription factor, PROP1. A mutation has been described in two children of a consanguineous union who had optic nerve hypoplasia, agenesis of the corpus callosum and panhypopituitarism, with an apparent autosomal recessive mode of inheritance (26).  This Arg → Cys mutation lies between the repressor and homeodomains, but the mutant protein was shown in vitro to be unable to bind to its cognate sequences. A novel homozygous missense mutation (126T) of the critical engrailed homology repressor domain (eh1) of HESX1 was described in a girl born to consanguineous parents (27). Neuroimaging revealed a thin pituitary stalk with anterior pituitary hypoplasia and an ectopic posterior pituitary. Unlike previous cases, she did not have midline or optic nerve abnormalities. Although 126T mutation did not affect the DNA-binding ability of HESX1, it impaired ability of HESX1 to recruit Groucho-related corepressor, thereby leading to partial loss of repression. It appears that HESX1 mutations exhibit a variety of clinical phenotypes with no clear genotype-phenotype correlation

Figure 4. The HESX1 Gene.

PROP1

 

PROP1 (the Prophet of PIT-1) encodes a transcription factor required for the development of most pituitary cell lines, including the somatotrope (GH secretion), lactotrope (prolactin (PRL) secretion), thyrotrope (TSH secretion), and the gonadotrope (FSH and LH secretion). Mutation of PROP1, therefore, results in the deficiency of GH, TSH, PRL, FSH and LH although some individuals with PROP1 mutations have been described with ACTH deficiency (30). Since PROP1 does not appear to be required for the development of the corticotrope cell line, the etiology of ACTH deficiency is unclear. It appears that the ACTH deficiency here is a consequence of the compensatory pituitary hyperplasia that develops over time. Significantly, the degree of TSH deficiency appears to be quite variable, even within mutation-identical individuals, suggesting that the general phenotype associated with PROP1 mutations is also quite variable. PROP1 is encoded by three exons and is located on 5q. Many mutations have been described in PROP1-all inherited in an autosomal recessive manner. Although several studies suggest that mutation of PROP1 is the most common cause of familial MPHD, it is less common in sporadic cases of MPHD (14,31). Two recurrent mutations have been described, both involving exonic runs of GA tandem repeats (Figure 5). In both cases, the loss of a tandem unit at either locus results in a frameshift and premature termination, and a protein incapable of transactivation.

Figure 5. The PROP1 Gene.

POU1F1

 

POU1F1 encodes the POU1F1 transcription factor, also known as PIT1, which is required for the development and function of three major cell lines of anterior pituitary: somatotropes, lactotropes and thyrotropes. Various mutations in the gene encoding POU1F1 have been described, resulting in a syndrome of multiple pituitary hormone deficiency involving GH, PRL and TSH hormones. POU1F1 is located on 3p11 and consists of six exons encoding 291 amino acids (Figure 6). Many mutations of POU1F1 have been described; some are inherited as autosomal recessive and some as autosomal dominant. There is a wide variety of clinical presentations in patients with POUF1 mutations. Generally, GH and prolactin deficiencies are seen early in life. However, TSH deficiency can be highly variable with presentation later in childhood or normal T4 secretion can be preserved into the 3rd decade (32,33). POU1F1 mutations have been described in a total of 46 patients from 34 families originating in 17 different countries (34). Recessive mutations are generally associated with decreased activation, while dominant mutations have been shown to bind but not transactivate - i.e. act as dominant-negative mutations, rather than through haploinsufficiency. One such mutation is the recurrent Arg271Trp (R271W), located in exon 6, which results from a C T transition at a CpG dinucleotide, i.e. a region predisposed to spontaneous mutagenesis. Another interesting mutation is the Lys216Glu mutation of exon 5. This mutation is unique in that the mutant transcription factor activates both the GH and PRL promoters at levels greater than wild-type (i.e. acts as a super-agonist), but down-regulates its own (i.e. the POU1F1) promoter-leading to decreased expression of PIT1. R271W is the most frequent mutation of POU1F1. Another report described a novel mutational hot spot (E230K) in Maltese patients suggests a founder effect (33). The same group reported two additional novel mutations within POU1F1 gene; an insertion of a single base pair (ins778A) and a missense mutation (R172Q) (31).

Figure 6. The POU1F1 gene.

SOX3

 

SOX3 encodes a single-exon gene SOX3, an HMG box protein, located on the X chromosome (Xq26.3) in all mammals(35). It is believed to be the gene from which SRY, testis–determining gene evolved (36). Based on sequence homology, SOX, however, is more closely related to SOX1 and SOX2, together comprising the SOXB1 subfamily and are expressed throughout the developing CNS (37,38). In humans, mutations in the SOX3 gene have been implicated in X-linked hypopituitarism and mental retardation. In a single family, a SOX3 gene mutation was shown in affected males who had mental retardation and short stature due to GH deficiency (39). The mutation was an in-frame duplication of 33 bp encoding for an additional 11-alanine, causing an expansion of a polyalanine tract within SOX3. Other mutations including a submicroscopic duplication of Xq27.1 containing SOX3, a novel 7-alanine expansion within the polyalanine tract, and a novel polymorphism (A43T) in the SOX3 gene were described in males with hypopituitarism (40). Phenotypes of these patients include severe short stature, anterior pituitary hypoplasia, ectopic posterior pituitary, hypoplastic corpus callosum, and infundibular hypoplasia. Although duplications of SOX3 have been implicated in the etiology of X-linked hypopituitarism with mental retardation, in at least one study, none of the affected individuals had mental retardation or learning difficulties (40). Taken together, the data suggests that SOX3 has a critical role in the development of the hypothalamic-pituitary axis in humans, and mutations in SOX3 gene are associated with X-linked hypopituitarism but not necessarily mental retardation (40).

 

ISOLATED GH DEFICIENCY (IGHD)

 

Abnormalities either in the synthesis or the activity of GH can cause a wide variation in the clinical phenotype of the patient. Most frequently, it occurs as a sporadic condition of unknown etiology but severe forms of IGHD may result from mutations or deletions in GH1 or GHRHR gene.  General clinical features of IGHD deficiency include proportionate growth retardation accompanied by a decreased growth velocity, puppet-like facies, mid-facial hypoplasia, frontal bossing, thin hair, a high-pitched voice, microphallus, moderate trunk obesity, acromicria, delayed bone maturation and dentition. Most children with IGHD have normal birth weight and length, however, some newborns may present with hypoglycemia, microphallus, and prolonged jaundice. Patients with IGHD appear younger than their chronological age. Puberty may be delayed until late teens, but usually fertility is preserved.

 

To date, four Mendelian patterns of inheritance for IGHD have been identified based on the type of defect, mode of inheritance, and degree of deficiency.

 

  • Type 1 GH deficiency is an autosomal recessively inherited condition, which exists as either complete, or partial loss of GH expression.

 

  1. a) Type 1a deficiency is characterized by the complete absence of measurable GH. Infants born with a type 1a defect are generally of normal length and weight, suggesting that, in utero, GH is not an essential growth factor (41,42). Growth immediately after birth and during infancy may also be less dependent on circulating GH levels than during other phases of life. Patients with Type 1a deficiency initially respond to rhGH treatment well. However, about 1/3 of patients develop antibodies to GH which leads to markedly decreased final height as adults (34). The exact prevalence of Type 1a deficiency is not known, and most reported families are consanguineous (34). Mutations in Type 1a have been described in GH1 and GHRHR-including nonsense mutations, microdeletions/frameshifts, and missense mutations.
  2. b) Type 1b deficiency represents a state of partial - rather than an absolute - deficiency of GH, with measurable (but insufficient) serum GH. Therefore, Type 1b is milder than Type 1a deficiency. Patients with Type 1b deficiency do not typically present with mid-facial hypoplasia or microphallus. They also have a good response to GH treatment without developing GH antibodies. Most cases of Type 1b GH deficiency are caused by missense and/or splice site mutations in the GH1 and GHRHR genes (43).

 

  • Type 2 GH deficiency is an autosomal dominantly inherited disorder with reduced secretion of GH. Patients with Type 2 GHD usually do not have any pituitary abnormality (44). However, recently, it has been shown that their pituitary may become small over time (45). They have a good response to GH treatment. This type of GH deficiency is intuitively less clear, since autosomal dominant conditions generally occur because of either haploinsufficiency or secondary to dominant-negative activity. Haploinsufficiency, however, has not been demonstrated in the obligate heterozygote carriers of individuals harboring GH1 deletions, and is therefore an unlikely explanation. Dominant-negative activity is usually associated with multimeric proteins, also making this explanation less intuitive. Type 2 GHD appears to be the most common form of IGHD, and many mutations have been identified in GH1 including splicing and missense mutations (46–53). Recent studies suggest that GH1 may not be the only gene involved in Type 2 GHD. Screening 30 families with autosomal dominant IGHD did not show any GH1 mutations, raising the possibility of other gene(s) being involved (54).

 

  • Type 3 growth hormone deficiency is inherited in an X-linked recessive manner. There are no candidate genes and no compelling explanations for this condition. There are no reported mutations of the GH-1 gene in Type 3 GHD. In addition to short stature, patients may also have agammaglobulinemia (34).

 

Table 2 summarizes the phenotypes of mutations involved in human pituitary transcription factors causing IGHD and MPHD and their mode of inheritance.

 

Table 2. Genotype and Phenotype Correlations in Human Pituitary Transcription Factors

Gene

Phenotype

Mode of Inheritance

  IGHD

GH-1

IGHD type 1a/1b

IGHD type 2

IGHD type 3

AR

AD

X-linked

GHRHR

IGHD type 1b

AR

  MPHD

  LHX3 

Deficiencies of GH, TSH, LH, FSH, PRL, rigid neck, small/normal/or enlarged anterior pituitary

AR

  LHX4

Deficiencies of GH, TSH and ACTH, small anterior pituitary, cerebellar and skull defects

AD

  HESX1 

Hypopituitarism, optic nerve hypoplasia, agenesis of the corpus callosum, ectopic posterior pituitary

AR/AD

  PROP1 

Hypopituitarism except ACTH deficiency, small/normal/or enlarged anterior pituitary

AR

  POU1F1   (PIT1)

Deficiencies of GH, TSH, PRL, small or normal anterior pituitary

AR/AD

  SOX3

Hypopituitarism, mental retardation, learning difficulties, small anterior pituitary, ectopic posterior pituitary, 

X-linked recessive

  OTX2

Hypopituitarism, microphthalmia, microcephaly, cleft palate

AD

  GLI2

Hypopituitarism, small anterior pituitary, ectopic posterior pituitary, holoprosencephaly, polydactyly

AD

AR: Autosomal Recessive; AD: Autosomal Dominant.

 

HYPOTHALAMIC GH DEFICIENCY

 

Synthesis and Secretion of GH

 

GH is synthesized within the somatotropes of the anterior pituitary gland and is secreted into circulation in a pulsatile fashion under tripartite control, stimulated by growth hormone releasing hormone (GHRH), Growth Hormone Secretagogues (GHS) such as Ghrelin and inhibited by somatostatin (SST) (Figure 7). GHRH, GHS and SST secretion are themselves regulated by numerous central nervous system neurotransmitters (Table 3). GH, via a complex signal transduction, exerts direct metabolic effects on target tissues and exerts many of its growth effects through releasing of IGF1 which is mainly produced by the liver and the target tissues (e.g. growth plates).  Additional regulation of GH secretion is achieved through feedback control by IGF1 and GH at the pituitary and at the hypothalamus.

Figure 7. Hypothalamic-pituitary-peripheral regulation of GH Secretion. SST, somatostatin; GHRH, growth hormone releasing hormone; IGF1, insulin-like growth factor type 1.

 

Table 3. Neurotransmitters and Neuropeptides Regulating GHRH Secretion from Hypothalamus

 Dopamine 

Gastrin

 GABA 

Neurotensin

 Substance-P 

Calcitonin

 TRH 

Neuropeptide-Y

 Acetylcholine 

Vasopressin

 VIP 

CRHs

 

Timing

 

In addition to the absolute GH levels reached, the timing of the GH pulse is also physiologically important. GH is secreted in episodic pulses throughout the day, and the basal levels of GH are often immeasurably low between these peaks (Figure 8). Figure 8 illustrates normal spontaneous daily GH secretion, while figure 9 represents that of a child with GH deficiency.

Figure 8. The characteristic pulsatile pattern of GH secretion in normal children. Note the maximal GH secretion during the night.

Figure 9. GH secretion in a child with GH deficiency. Note the loss (both qualitative and quantitative) of episodic pulses seen in normal children.

 

Approximately 67% or more of the daily production of GH in children and young adults occurs overnight, and most of that during the early nighttime hours that follow the onset of deep sleep. During puberty, there is an increase in GH pulse amplitude and duration, most likely due to estrogens (55). GH secretion is sexually dimorphic, with females having higher secretory burst mass per peak but no difference in the frequency of peaks, or basal GH release (56). In addition, GH secretion is stimulated by multiple physiological factors (Table 4). Overweight children, independent of pubertal status, have reduced GH levels mainly due to reduced GH burst mass with no change in frequency (57).

 

Table 4. Physiological Factors that Affect GH Secretion

Factors that stimulate GH secretion 

Factors that suppress GH secretion

Exercise 

Hypothyroidism

Stress 

Obesity

Hypoglycemia 

Hyperglycemia

Fasting 

High carbohydrate meals

High protein meals 

Excess glucocorticoids

Sleep

 

 

Growth Hormone Releasing Hormone

 

GHRH (also known as Somatocrinin) is the hypothalamic-releasing hormone isolated in 1982 (58) believed to be the chief mediator of GH secretion from the somatotrope. GHRH deficiency is thought to be the most common cause of 'acquired' GHRH deficiency, secondary to (even mild) birth trauma. GHRH includes 5 exons, with transcription of (the non-coding) exon 1 differing on a tissue-specific basis (59). The mature GHRH protein contains 44 amino acids, with an amidated carboxy terminus (Figure 10). Despite this post-translational modification, much of the GH-secreting ability resides in the (original) amino half, allowing the synthesis of shorter peptides retaining efficacy (e.g. 1-29 GHRH). Despite being cloned in 1985 (60), there are no reports of (spontaneous) mutations in humans or in any animal model. Individuals with mutations in GHRH are predicted to have isolated GH deficiency.

Figure 10. The growth hormone releasing hormone (GHRH) gene.

Growth Hormone Releasing Hormone Receptor

 

GHRHR was cloned in 1992 (61), described as the cause of isolated GH deficiency (IGHD) in the Little strain of dwarf mouse by 1993 (62,63), mapped in the human by 1994 (64), and demonstrated to be a cause of human GH deficiency in 1996 (43). GHRHR is located on 7p15 (64), comprises 13 exons and encodes a protein of 423 amino acids, belonging to the G-protein coupled, heptahelical transmembrane domain receptors (Figure 10). The initial reports of GHRHRmutations were in geographically isolated (and therefore endogamous) populations in South Asia (43,65,66) and later in Brazil (67). In fact, haplotype analysis of the GHRHR locus in three unrelated families from the Indian subcontinent, carrying the identical E72X nonsense mutation in GHRHR indicated that this represents a common ancient founder mutation (68). An independent analysis of patients with familial isolated GH deficiency from non-consanguineous families revealed that most patients carried the identical E72X mutation, suggesting that E72X mutation can be a reasonable candidate for isolated GH deficiency (69). There are now numerous other reports, making GHRHR one of the most mutated genes in IGHD. Roelfsema et al studied two members of a single family with an inactivating mutation of the GHRHR and noted that the 'normal' pattern of spontaneous GH production was preserved, although the absolute quantity of GH secreted was quite low and the approximate entropy significantly elevated (70); supporting the view that the amplitude of a GH pulse is the result of a GHRH burst, while the timing of GH pulses is the result of a somatostatin trough.

Figure 11. The growth hormone releasing hormone receptor (GHRHR) gene.

Ghrelin

 

In 1977 Bowers et al (71) reported on the ability of enkephalins to secrete GH and it was later demonstrated that this secretion was independent of GHRH. This sentinel finding gave rise to a new field of study, that of the growth hormone releasing peptides (GHRPs) or growth hormone secretagogues (GHSs). Twenty-two years later Kojima et al (72)reported the isolation of the endogenous ligand whose actions were mimicked by the enkephalins. They named the hormone Ghrelin, based on the Proto-Indian word for 'grow'. Ghrelin is located on 3p25-26 (73) (Figure 12), is processed from a ‘preproGhrelin’ precursor, and is primarily produced by the oxyntic cells of the stomach and to a lesser extent in the arcuate ventro-medial and infundibular nuclei of the hypothalamus (74). Ghrelin also plays a role in regulating food intake. In addition to its GH secreting actions, direct intracerebroventricular injection of Ghrelin in mice has potent orexigenic “appetite stimulating” action, and this action is mediated by NPY, which antagonizes the actions of Leptin.

 

Several studies have shown that, on a molar basis, Ghrelin is significantly more potent at inducing GH secretion than GHRH (75). Additionally, many of these studies have shown that Ghrelin and GHRH are synergistic, inducing a substantial GH response when given in combination (76–79). Several studies comparing GHRH and Ghrelin demonstrate that 1 ug/kg GHRH results in a GH peak of approximately 25 ng/ml, 1 ug/kg Ghrelin results in a GH peak of approximately 80 ng/ml GH, but when given together, 1ug/kg of GHRH +     1 ug/kg Ghrelin results in a GH peak of approximately 120 ng/ml (79,80). When short normal children were compared to children with neurosecretory GH deficiency, Ghrelin secretion was similar in both groups during daytime, but higher Ghrelin levels were detected during the night in short children with neurosecretory GH deficiency. The authors therefore suggest that Ghrelin is not involved in nighttime GH secretion (81), although these findings are also consistent with a relative Ghrelin insensitivity at night. In a group of boys with constitutional delay of puberty, testosterone administration caused the expected increase in GH concentrations but did not affect the 24-hour Ghrelin profile, suggesting that the testosterone-induced GH secretion was not mediated by Ghrelin (82). Another study demonstrated a decrease in Ghrelin concentrations following glucagon administration in a group of non-GH-deficient short children, suggesting that Ghrelin does not mediate glucagon-induced GH secretion (83).

 

A second hormone, Obestatin is also known to be produced from preproghrelin. Obestatin has anorexigenic effects, opposite those of Ghrelin (84). Several nucleotide changes have been identified in the preproghrelin locus, and some are associated with body mass index, BMI (85). It is not clear, however, whether these are polymorphisms, or distinct mutations. It is also not clear whether these nucleotide variants exert their effects solely via an altered Ghrelin, a corrupted Obestatin, or a combination of the two. A knockout mouse lacking the preproghrelin locus had no statural or weight phenotype, but this may well be the result of the simultaneous loss of both ghrelin and Obestatin. To this point, a transgenic mouse with abnormal ghrelin but normal Obestatin did indeed have poor weight gain, explained by either ghrelin deficiency, unopposed Obestatin, or both. There are no reports of (spontaneous) mutations in Ghrelin associated with short stature, either in humans or in any animal model, although polymorphisms have been associated with weight/metabolic syndrome. The theoretical phenotype of such an individual would presumably be that of isolated GH deficiency, most likely of post-natal onset and possibly with an abnormally low appetite.

Figure 11. The growth hormone releasing hormone receptor (GHRHR) gene.

Figure 12. The ghrelin (GHS) gene structure.

Ghrelin Receptor

 

The receptor for Ghrelin (GHSR) was identified in 1996 by Howard et al (74), prior to the identification of the ligand, and maps to 3q26-27 (Figure 13).  Mutations of the GHSR gene have been reported in individuals with isolated GH deficiency (86).

 

Combining data from numerous investigators, there appear to be differences in the specific roles of these parallel but independent pathways for GH secretion. Given that:

 

  1. Ghrelin induces a larger release of GH than GHRH,
  2. Both bolus and continuous GHRH infusion results in a chronic release of GH (87),
  3. A bolus of Ghrelin results in GH secretion, but continuous Ghrelin infusion does not; and
  4. Ghrelin administration (bolus or continuous) does not cause an increase in GH mRNA.

 

It is therefore likely that the GHRH/GHRHR arm of the somatotropin pathway serves primarily in the production of de novo GH, and secondarily in the release of (pre-made) GH while Ghrelin/GHSR may serve primarily in the release of stored GH, and only secondarily-if at all-in the production of de novo GH (80,88).

Figure 13. The Ghrelin receptor (GHSR) gene.

Somatostatin

 

The somatostatin gene (SST) is located on 3q28, and contains two exons, encoding a 116 amino acid pre-prosomatostatin molecule that is refined down to a 14 amino acid cyclic peptide (as well as a 28 amino acid precursor/isoform) (89) (see figure 14). Pancreatic somatostatin inhibits the release of both insulin and glucagon, while in the CNS, somatostatin inhibits the actions of several hypothalamic hormones, including GHRH. For this reason, somatostatin is also known as Growth Hormone Release Inhibiting Hormone. Somatostatin's widespread effects are mediated by five different receptors, all encoded by different genes (rather than through alternative splicing of a single gene). The anti-GHRH actions on the pituitary are primarily mediated by somatostatin receptors (SSTR) 2 and 5, which act by inhibiting cAMP as well as other pathways (90) (see figures 15 and 16). There is a single case report of a nucleotide variant in SSTR5, occurring in a subject with acromegaly. (This individual, however, was also reported as having a mutation in the GSP oncogene, placing the pathological nature of the SSTR5 variant in question). Whereas GHRH induces release of growth hormone stored in secretory vesicles by depolarization of the somatotrope, somatostatin inhibits GH release by hyperpolarizing the somatotrope, rendering it unresponsive to GHRH. There are no reports of mutations in the somatostatin gene, or in SSTR2.

 

All three of these hypothalamic modifiers of GH secretion act through cell-membrane receptors of the G-protein coupled receptor (GCPR) class. These receptors are characterized by seven membrane-spanning helical domains, an extracellular region that binds (but does not internalize) the ligand hormone, and an intracellular domain that interacts with a G-protein, which contains a catalytic subunit that generates a second messenger (e.g. cyclic AMP or inositol triphosphate).

Figure 14. The somatostatin (SST) gene.

Figure 15. The somatostatin receptor 2 (SSTR2) gene.

Figure 16. The somatostatin receptor 5 (SSTR5) gene.

PITUITARY GH DEFICIENCY

 

Human Growth Hormone

 

GH is critical for growth through (most of) childhood as well as for optimal metabolic, neurocognitive, cardiac, musculoskeletal and adipose function throughout life. GH acts through GH receptors on cells of a variety of target tissues. Many, but not all, actions of GH are mediated by insulin-like growth factor 1 (IGF1), also known as Somatomedin-C. IGF1 is released in response to GH and acts as both a hormone and an autocrine/paracrine factor. GH, directly and indirectly through the actions of IGF1, stimulates tissue growth and proliferation, most notably in the epiphyseal growth plates of children, increases lean muscle mass, decreases fat mass, and increases bone mineral density.

 

Growth hormone is a single-chain polypeptide that contains 191 amino acids with two intramolecular disulfide bonds and the molecular weight of 22,128 Daltons. The GH protein (GHN) is encoded by the GH1 gene located on chromosome 17q22-q24 (Figure 17) in a complex of five genes: two for the growth hormone/growth hormone variant (GH1, GH2), two for chorionic somatomammotropin (CS1, CS2), and one for the somatomammotropin pseudogene (CSL). GH2 encodes the GHV protein that is secreted by the placenta into maternal circulation. GHV has greater lactogenic properties than does GHN and may function to maintain the maternal blood sugar in a desirable range, thus ensuring sufficient nutrition for the fetus.

Figure 17. Growth hormone (GH1) gene.

PERIPHERAL GH RESISTANCE

 

Growth Hormone Receptor

 

Growth failure with normal serum GH levels is well known, both at the genetic and clinical level. Although such cases may be due to defects of GH1 (e.g. bio inactive GH), many such subjects have been shown to have mutations in the GH Receptor (GHR), i.e. Growth Hormone Insensitivity, known as Laron Syndrome. Biochemical hallmarks of this syndrome are increased or normal GH levels with low IGF1 and with absent or decreased response to GH treatment (91).

 

The growth hormone receptor gene (GHR) is located on 5p13-12 and contains 10 exons which span a physical distance of almost 300 kb of genomic DNA (Figure 18). The GHR consists of a ligand-binding extracellular domain, an 'anchoring' transmembrane domain and an intracellular domain with intrinsic tyrosine kinase activity. A monomeric GHR binds a single GH molecule, which then dimerizes a second GHR, and activates the JAK/STAT and MAPK pathways and is internalized. The internalization leads to extinguishing of the GH signal, and the GHR is recycled for further rounds of activity. Two naturally occurring isoforms of the GHR arise from alternative splicing-one with an alternate exon 3, and the other with an alternate exon 9. The alternative exon 9 isoform yields a protein with only amino acids 1-279, and virtually none of the intracellular domain. This isoform cannot transduce the GH signal and yields higher molar quantities of GHBP (than wild-type GHR) and therefore acts as a GH "sink" (92). The GHR isoform lacking exon 3 has a high prevalence, and may be associated with altered GH signaling, although the direction of the alteration is not clear (93–96).

Figure 18. The growth hormone receptor (GHR) gene.

Defects in the GH signaling pathway have been demonstrated to be associated with postnatal growth failure. Mutations of Stat5b were reported in patients with severe growth failure. Several mutations of Stat5b gene have been reported. Although patients had a phenotype similar to that of congenital GH deficiency or GHR dysfunction, clinical and biochemical features (including normal serum GHBP concentrations) and immune deficiency (97) distinguish patients with STAT5b defects from patients with GHR defects.  It also appears that STAT5b mutations are associated with hyperprolactinemia.  It remains unclear whether the hyperprolactinemia is a direct or indirect effect of STAT5b mutations (98).

 

In humans, the extracellular portion of GHR is enzymatically cleaved and functions as the GH-Binding Protein (GHBP)(99). GHBP presumably serves to maintain GH in an inactive form in the circulation and to prolong the half-life of GH. Serum levels of GHBP are therefore used as a surrogate marker for the presence of GHR, and abnormal levels-both elevated and decreased-may indicate abnormality in the GHR (100,101). Of note is that mutations have also been described in individuals with 'normal' GHBP levels. GHI secondary to GHR mutations are mostly autosomal recessive mutations, but dominant negative mutations have also been described. Individuals with heterozygote mutations in GHRmay present with significant short stature (102). Mutations in GHR have also been associated with idiopathic short stature (ISS) (103–105). The original reports of GHR mutation described limited elbow extension and blue sclera, but these findings are not universal.

 

Many genetic abnormalities have been described in GHR, including nonsense mutations, missense mutations, macrodeletions, microdeletions and splice site changes. Of the latter, one of the most interesting is the "E180E" mutation, wherein an exonic adenosine is converted to a guanine, converting GAA to GAG, which would be predicted to not change the amino acid structure of GHR (both GAA and GAG encode glutamic acid). On this basis, this "silent polymorphism" would be expected to have no phenotype, but in reality, causes GH resistance and extreme short stature by activation of a cryptic splice site. This mutation was noted in Loja and El Oro, Ecuador in two large cohorts. This identical mutation has also been identified in Jews of Moroccan descent, suggesting that this mutation dates to at least the 1400’s and that the Ecuadorian cohorts, therefore, likely represent Sephardic Jews who left Spain around the time of the Inquisition at the end of the fifteenth century, CE (106). Another splice site mutation at position 785-3 (C>A in the intron 7) was recently described in a patient and mother with short stature and extremely elevated GHBP (107). The consequence of this novel mutation is a truncated GHR which lacks the transmembrane domain (encoded by exon 8) and the cytoplasmic domain. It was hypothesized by the authors that this GHR variant cannot attach to the cell membrane, and the continual secretion into the circulation results in the elevated levels of serum GHBP detected in the patient and his mother. The presence of the wild-type GHR allele presumably permits some level of normal GH-induced action.

 

Insulin-Like Growth Factor 1 (IGF1)

 

Many of growth hormone's physiological actions are mediated through the insulin-like growth factor, IGF1 (formerly referred to as somatomedin C). Serum IGF1 levels are commonly measured as a surrogate marker of GH status since IGF1 displays minimal circadian fluctuation in serum concentration. IGF1 plays a critical role in both prenatal and postnatal growth, signaling through the IGF1 as well as the insulin receptors (Table 5). IGF1 circulates as a ternary complex consisting of IGF1, IGFBP3, and ALS. IGF bioavailability is regulated by a metalloprotease termed ‘pregnancy-associated plasma protein-A2’ (PAPPA2) (108). PAPPA2 cleaves IGFBP3 or IGFBP5 to free IGF1 from its ternary complex, allowing it to bind to its target tissues.  In addition to PAPPA2, stanniocalcin-2 (STC2) also plays a critical role in IGF1 bioavailability by inhibiting the proteolytic activity of PAPPA2 (109,110).

 

The IGF1 gene is located on 12q22-24.1, consists of six exons and spans over 45 kb of genomic DNA (Figure 19). Alternative splicing produces two distinct IGF1 transcripts, IGF1-A and IGF1-B. Woods et al described a male of a consanguineous union with prenatal (intrauterine) and postnatal growth retardation, sensorineural deafness and mental retardation (111). DNA analysis showed a homozygous partial deletion of the IGF1 gene (111,112). Subsequently, additional cases have been described (113,114).

Figure 19. The IGF1 gene.

Mice engineered to completely lack Igf1 (Igf1 knockouts) are born 40% smaller than their normal littermates (115,116). Recent studies of a hepatic-only Igf1 knockout (KO) mouse, however, demonstrate that IGF1 functions primarily in a paracrine or autocrine role, rather than in an endocrine role (117). Liver specific Igf1 knock-out mice, were found to have a 75% reduction in serum Igf1 levels but were able to grow and develop (nearly) normally (117,118) with a mild phenotype developing only late in life (117). A further decrease in serum IGF1 levels of 85% was observed when double gene KO mice were generated lacking both the acid labile subunit (ALS) and hepatic IGF1. Unlike the single hepatic-only IGF1-KO's, these mice showed significant reduction in linear growth as well as 10% decrease in bone mineral density (119). Thus, as illustrated by the combination liver specific IGF1+ALS knock-out mouse model, there likely exists a threshold concentration of circulating IGF1 that is necessary for normal bone growth and suggests that IGF1, IGFBP3, and ALS may play an important role in bone physiology and the pathophysiology of osteoporosis.

 

In humans, homozygous mutations in ALS result in mild postnatal growth retardation, insulin resistance, pubertal delay, unresponsiveness to GH stimulation tests, elevated basal GH levels, low IGF1 and IGFBP3 levels and undetectable ALS (120–122). Although it is not clear why postnatal growth is mildly affected, it may be due to increased GH secretion due to loss of negative feedback regulation by the low circulating IGF1. Increased GH secretion could then up-regulate the functional GH receptor increasing local IGF1 production, thus partially protecting linear growth (97) (Figure 20). Over a dozen inactivating mutations of the IGFALS gene have been described in patients with ALS deficiency (123). 

Figure 20. The effect of ALS mutations on the GH-IGF1 axis. Savage MO Camacho-Hubner C, David A, et al. 2007” Idiopathic short stature: will genetics influence the choice between GH and IGF1 therapy?” Eu J of Endocrine 157:S33 Society of European Journal of Endocrinology (2007). Reproduced by permission. Reprinted with permission (124).

Elevated IGF1 levels has recently been associated with colon, prostate and breast cancer (125–127) and the association was strongest when an elevated IGF1 was combined with a decreased IGFBP3 level. This combination-expected to yield more bioactive IGF1 may merely reflect the tumorigenic process, rather than demonstrate causality. Importantly, GH treatment induces a rise in both IGF1 as well as IGFBP3 (128) and therefore would not be expected to increase cancer risk in normal individuals.

 

Table 5. Summary of IGF1 Function in Different Systems and its Effects (129)

IGF1 Function 

IGF1 Deficiency

Intrauterine Growth

IUGR

Postnatal Growth

Short Stature

CNS

Neurodegenerative disease

Insulin sensitization/improvement of glucose disposal/beta cell proliferation

Type 1 and Type 2 Diabetes

 

IGF1 Excess

Mitosis/Inhibition of apoptosis 

Malignancy

 

IGF1 Deficiency

 

IGF1 deficiency can be classified based on decreased IGF1 synthesis (primary) or decreased IGF1 as a result of decreased or inactive GH (secondary) (130) (see Table 6).

 

Table 6.  IGF1 Deficiency

I.               Primary IGF1 Deficiency (normal or elevated GH levels) 

II.               

1.     Defects in IGF1 Production:

1.     Mutation in IGF1 gene or bio inactive IGF1

2.     GHR receptor signaling defects (JAK/STAT)

3.     Mutations in ALS gene

4.     Factors affecting IGF1 production (malnutrition, liver, inflammatory bowel

disorders, celiac disease)

 

Defects in IGF1 Action:

1.     IGF1 resistance due to receptor or post-receptor defects

2.     Factors inhibiting IGF1 binding to IGF1R (increased IGFBPs and presence of IGF1 antibodies)

3.      

Defects in GH Action:

1.     Factors inhibiting (increased GHBPs and presence of GH antibodies)

2.     GH receptor defects (decreased GH receptors, GHR antibodies, GHR gene defects)

III.            Secondary IGF1 Deficiency (decreased GH levels)

 

Decreased GH production

1.     Defects in GH gene

2.     Defects in GHRH or GHRH receptor

3.     Psychological disorders

 

Defects in hypothalamus and pituitary

 

 

Recombinant Human IGF1 (rhIGF1)

 

rhIGF1 is useful in the treatment of primary IGF1 deficiency resulting from abnormalities of the GH molecule (resulting in a bio inactive GH), the GH receptor (known as Laron syndrome) or GH signaling cascade (131). Studies have shown that rhIGF1 significantly improves height in children unresponsive to rhGH (132,133), and clinical trials clearly demonstrated better response to IGF1 therapy when initiated at an early age (134).

 

FDA approved conditions for rhIGF1 treatment for children with (135):

  1. Severe primary IGF1 deficiency
  2. GH gene deletions who have developed neutralizing antibodies to GH

 

Severe primary IGF1 deficiency is defined by:

  1. Height SD score is less than -3SD
  2. Basal IGF1 level is below -3SD
  3. Normal or elevated GH

 

The recommended starting dose of rhIGF1 is 40-80 microgram/kg twice daily by subcutaneous injection.  If it is tolerated well for at least one week, the dose may be increased by 40 microgram/kg per dose, to the maximum dose of 120 microgram/kg per dose (136).

 

The most common side effects of IGF1 treatment are pain at injection site and headaches which mostly diminish after the first month of treatment (131). Other less common side effects are lipohypertrophy at the injection site, pseudotumor cerebri, facial nerve palsy and hypoglycemia (134). Another effect of IGF1 treatment is a significant increase in fat mass and BMI (137) — in contradistinction to the lipolytic effect of rhGH treatment. Coarsening of facial features, increased hair growth, slipped capital femoral epiphysis, scoliosis, hypersensitivity, and allergic reactions including anaphylaxis are other prominent adverse effects and are most commonly seen during puberty. Growth of lymphoid tissue is a concern which may require tonsillectomy (131).  

 

Insulin-Like Growth Factor 1 Receptor (IGF1R)

 

The receptor for IGF1 is structurally related to the insulin receptor and similarly has tyrosine kinase activity (Figure 21). IGF1R is located on 15q25-26. The mature (human) IGF1 receptor contains 1337 amino acids and has potent anti-apoptotic activity (137). The IGF1 receptor transduces signals from IGF1, IGF2 and insulin. However, murine data suggest that initially (in the embryo) only the IGF2 signal is operational, while later on in development (i.e. the fetus), both IGF1 and IGF2 (and probably insulin) signal through the IGF1R (112). Hemizygosity for IGF1R has been reported in a single patient (and appears likely in others) with IUGR, microcephaly, micrognathia, renal anomalies, lung hypoplasia and delayed growth and development (138). Murine and human studies have shown that mutations in IGF1R result in combined intrauterine and postnatal growth failure (104), confirming the critical role of the IGF system on embryonic, fetal and postnatal growth. A novel heterozygous mutation in the tyrosine kinase domain of the IGF1R gene was recently identified in a family with short stature. The mutation, a heterozygous 19-nucleotide duplication within exon 18 of the IGF1R gene, results in haploinsufficiency of the IGF1R protein due to nonsense mediated mRNA decay (139).

Figure 21. The Insulin-Like Growth Factor 1 Receptor (IGF1R) gene.

In summary, IGF1 and IGF1R mutations should be considered if a child presents with the following:

 

  1. Intrauterine and postnatal growth retardation
  2. Microcephaly
  3. Mental retardation
  4. Developmental delay
  5. Sensorineural deafness
  6. Micrognathia
  7. Very low or very high levels of serum IGF1

 

High serum (total) IGF1 levels are observed in patients with loss-of-function mutations in pregnancy-associated plasma protein A2 (PAPPA2) (140). As noted earlier, PAPPA2 is responsible for cleaving IGFBP3 or IGFBP5 to free bioactive IGF1 from its ternary complex so that IGF1 binds to its target sites (108).  Loss-of-function mutations in PAPPA2 decrease biologically active (i.e. ‘free’) IGF1 levels and cause short stature (140,141). To date, a total of seven patients with PAPPA2 mutations have been reported from three unrelated families (141,142). Patients generally had similar clinical phenotypes with growth failure, microcephaly, micrognathia, delayed dental eruption, thin long bones, and decreased bone mineral density (141).  Their total serum IGF1, IGF2, IGFBP3, IGFBP5, and ALS levels were elevated but the affected individuals had decreased free IGFI levels and IGF1 bioactivity (141). Serum PAPPA2 levels were either undetectable or low (143).

 

Both short-term and long-term treatment with rhIGF1 has been shown to be effective improving linear growth in children with PAPPA2 deficiency with variable height gain results and positive effects on bone mineral density and bone structure (142,144–148). Although the majority of subjects tolerated rhIGF1 treatment with no adverse effects, pseudotumor cerebri was noted to be the most common adverse event (147).

 

A single patient with PAPPA2 deficiency was administered fresh frozen plasma with the goal to restore PAPPA2 activity. Interestingly, the patient responded with significantly increased free IGF1 levels, but her serum PAPPA2 levels did not measurably increase.in vitro addition of rhPAPPA2 to the patients serum similarly demonstrated an increase in free IGF1, as did the serum of patients with ISS, although the increase in ISS patients was less robust (149).  However, authors caution first establishing the normal ranges for PAPPA2 and free IGF1 before developing PAPPA2 as a potential novel treatment for growth.

 

Insulin-Like Growth Factor 2 (IGF2)

 

IGF2 is thought to be a major prenatal growth hormone and to be less critical for statural growth in post-natal life.

 

The human gene, IGF2, is located on 11p15.5 (Figure 22). Chromosome 11p15.5 carries a group of maternally (IGF2) and paternally (H19) imprinted genes that are crucial for embryonic and/or fetal growth. Genetic or epigenetic changes in the 11p15.5 region alter this growth (150). IGF2 is maternally imprinted, meaning that the maternal allele is unexpressed. The close proximity of INS to IGF2-in addition to nearly 50% amino acid identity-suggest that these genes arose through gene duplication events from a common ancestor gene. IGF2 acts via the IGF1 receptor (as well as the insulin receptor). Over-expression of IGF2 results in overgrowth, similar to that seen in Beckwith-Wiedemann Syndrome (which can be due to loss of imprinting, effectively doubling IGF2 expression). A mouse model overexpressing Igf2 demonstrates increased body size, organomegaly, omphalocele, cardiac, adrenal and skeletal abnormalities, suggestive of Beckwith-Wiedemann and Simpson-Golabi-Behmel syndromes (151). Interestingly, IGF2 expression is normally extinguished by the Wilm's Tumor protein (WT1), providing an explanation for the overgrowth (e.g. hemi-hypertrophy) typically seen in subjects with Wilm's Tumor (152). In contrast, mice without a functional Igf2 (Igf2 knockouts) are born 40% smaller than their normal littermates (identical to Igf1 knockouts).

Figure 22.The Insulin-Like Growth Factor 2 (IGF2) gene.

Recent reports on individuals with severe intrauterine growth retardation showed maternal duplication of 11p15 (153). Furthermore, individuals with Silver-Russell-syndrome (SRS, also known as Russell-Silver syndrome) have been found to have an epimutation (demethylation) associated with biallelic expression of H19 and down regulation of IGF2(154,155). Russell-Silver syndrome is a congenital disorder characterized by intrauterine and postnatal growth retardation, typical facial features (triangular face, micrognathia, frontal bossing, downward slanting of corners of the mouth), asymmetry, and clinodactyly. Other chromosomal abnormalities such as maternal uniparental disomy on chromosome 7 also have been shown in 10% of individuals with SRS (156).

 

A paternally derived balanced chromosomal translocation that disrupted the regulatory regions of the predominantly paternally expressed IGF2 gene was described in a woman with short stature, history of severe intrauterine growth retardation (-5.4 SDS), atypical diabetes and lactation failure (157).

 

Insulin-Like Growth Factor 2 Receptor (IGF2R)

 

A receptor for IGF2, the IGF2R, has been identified, but does not appear to be the mediator of IGF2's growth promoting action. IGF2R is located on 6q26 and encodes a receptor unrelated to the IGF1 or insulin receptor (Figure 23). IGF2R is also the mannose-6-phosphate receptor and serves as a negative modulator of growth (for all IGF's and insulin). Its main role in vivo is probably as a tumor suppressor gene. While IGF2 is maternally imprinted, mouse Igf2R is paternally imprinted. There is some evidence that (in a temporally limited fashion) IGF2R is also paternally imprinted in humans. Somatic mutations have been found in hepatocellular carcinoma tissue (heterozygous mutations associated with loss of the other allele), but no germ-line mutations have been identified in individuals with growth abnormalities.

Figure 23. The Insulin-Like Growth Factor 2 Receptor (IGF2R) gene.

Insulin

 

In addition to its glycemic and metabolic roles, insulin functions as a significant growth promoting/anabolic agent. The insulin gene (INS) is located on Chr 11p15.5 and comprises 3 exons (Figure 24). Insulin's role in fetal growth is quite significant, as demonstrated by hyper insulinemic babies (e.g. infants of diabetic mothers (IDM)). Insulin's growth promoting activity is mediated through a combination of insulin and the IGF1 receptors. Mutations in the INS gene have been described in subjects with hyperinsulinemia (and/or hyperproinsulinemia) and diabetes mellitus.

Figure 24. The insulin gene (INS).

Insulin Receptor

 

The insulin receptor is structurally related to the IGF1 receptor. The gene, INSR, is located on Chr 19p13.2 and contains 22 exons that span over 120 kilobases of genomic DNA (Figure 25). INSR encodes a transmembrane protein with tyrosine kinase activity which can transduce the signals of insulin, IGF1 and IGF2.

 

Individuals with a mutation in the insulin receptor have been identified and may be the basis for the mythological 'Leprechauns'. They typically have intrauterine growth retardation; small elfin facies with protuberant ears; distended abdomen; relatively large hands, feet, and genitalia; and abnormal skin with hypertrichosis, acanthosis nigricans, and decreased subcutaneous fat. At autopsy, several subjects have been found to have cystic changes in the membranes of gonads and hyperplasia of pancreatic islet cells. Severe mutations generally lead to death within months, but more mild mutations have been found in individuals with insulin resistance, hypoglycemia, acanthosis nigricans, normal subcutaneous tissue and may even be associated with a normal growth pattern! Individuals with even 'mild mutations' have been shown to have a thickened myocardium, enlarged kidneys and ovarian enlargement.

Figure 25. The insulin receptor gene (INSR).

SHORT STATURE WITH AN ADVANCED BONE AGE

 

Aggrecan

 

Aggrecan has also been shown to be involved in human height and the growth process.  The aggrecan protein is a major constituent of the extracellular matrix of articular cartilage, where it forms large multimeric aggregates.  The gene, ACAN, is located on Chr 15q26.1, comprising 19 exons spread over nearly 72 kilobases of genomic DNA.  Exon 1 is approximately 13 kilobases upstream of exons 2-19, which comprise the coding portion of ACAN (158).  ACANundergoes alternative splicing yielding several isoforms; the predominant isoform being 2132 amino acids long, with three globular domains (G1-3), an ‘interglobular’ (IG) domain, a keratan sulfate (KS) domain and a chondroitin sulfate (CS) domain, largely encoded in a modular fashion (Figure 26).

 

Domains G1 and G2 contain tandem repeat units rich in cysteine, which are necessary for disulfide bridging, the binding of hyaluronic acid and structural integrity, and are separated by the IGD, which provides a level of rigidity.  The KS domain contains 11 copies of a six amino acid motif, while the chondroitin sulfate (CS) domain contains over 100 (non-tandem repeated) copies of the dipeptide Serine-Glycine).  The G3 domain appears to function in maintaining proper protein folding and subsequent aggrecan secretion.  The attachment of hyaluronic acid, keratan and chondroitin sulfate lead to significant water retention, which is largely responsible for the shock-absorbing character of articular cartilage.  Aggrecan is also necessary for proper “chondroskeletal morphogenesis” (159), ensuring the proper organization and sequential maturation of the epiphysis.

 

In 1999, Kawaguchi reported a mutation in ACAN in subjects with lumbar disc herniation (160), then in 2005, both an autosomal dominant form of spondyloephiphyseal dysplasia (SED-Kimberly type) (161) and an autosomal recessive form (SED-Aggrecan type) (162) were shown to arise from mutations in ACAN.

 

In 2010, cases of autosomal dominant short stature with an advanced bone age were found to have mutations in ACAN, either with or without osteochondritis dissecans and/or (early-onset) osteoarthritis (163–167). 

 

Dateki identified a family of four affected where three members had short stature with an advanced bone age, midface hypoplasia, joint problems and brachydactyly, while the fourth had lumbar disc herniation without other findings (168), attesting to phenotypic heterogeneity, even within a family.

Figure 26. The aggrecan gene (ACAN).

The Short Stature Homeobox-Containing Gene (SHOX) Haploinsufficiency

 

The Short Stature Homeobox-containing gene (SHOX) was identified in the pseudo-autosomal region 1 on the distal end of the X and Y chromosomes at Xp22.3 and Yp11.3 (Figure 27) (169). Mutations in SHOX were observed in 60-100% of Léri-Weill dyschondrosteosis and Langer mesomelic dysplasia (170,171).  Turner syndrome is almost always associated with the loss of SHOX gene because of numerical or structural aberration of X chromosome (172).The most common genetic defects leading to growth failure in humans are due to SHOX mutations with the incidence of 1:1,000 (173).

Figure 27. The Short Stature Homeobox-containing gene (SHOX). Reprinted with Permission. www.shox.uni.hd.de.

Genes in pseudoautosomal region 1 do not undergo X inactivation, therefore, healthy individuals express two copies of the SHOX gene, one from each of the sex chromosomes in both 46,XX and 46,XY individuals. The SHOX gene plays an important role in linear growth and is involved in the following:

 

  1. Intrauterine linear skeletal growth
  2. Fetal and childhood growth plate in a developmentally specificpattern and responsible for chondrocytedifferentiation and proliferation (174).
  3. A dose effect: SHOX haploinsufficiency is associated with short stature. In contrast, SHOX overdose as seen in sex chromosome polyploidy is associated with tall stature.

 

A large number of unique mutations (mostly deletions and point mutations) of SHOX have been described (170,172,175). SHOX abnormalities are associated with a broad phenotypic spectrum, ranging from short stature without dysmorphic signs as seen in idiopathic short stature (ISS) to profound Langer’s mesomelic skeletal dysplasia, a form of short stature characterized by disproportionate shortening of the middle segments of the upper arms (ulna) and lower legs (fibula) (176).  In contrast to many other growth disorders such as growth hormone deficiency, SHOX deficiency is more common in girls.

 

Rappold et al developed a scoring system to determine the phenotypic spectrum of SHOX deficiency in children with short stature and identify patients for SHOX molecular testing (175).  The authors recommend a careful examination including measurement of body proportions and X-ray of the lower legs and forearm before making the diagnosis of ISS. The scoring system consists of three anthropometric variables (arm span/height ratio, sitting height/height ratio and BMI), and five clinical variables (cubitus valgus, short forearm, bowing of forearm, muscular hypertrophy and dislocation of the ulna at the elbow). Based on the scoring system, authors recommend testing for SHOX deficiency for the individuals with a score greater than four or seven out of a total score of 24 (Table 7).

 

The recent data show that GH treatment is effective in improving linear growth of patients with SHOX mutations (176).

 

Table 7.  Scoring system for identifying patients that qualify for short-stature homeobox containing gene (SHOX) testing based on clinical criteria. Reprinted with permission (176).

Score item       

Criterion

Score points

Arm span/height ratio

<96.5%

2

Sitting height/height ratio

>55.5%

2

Body–mass index

>50th percentile

4

Cubitus valgus

Yes

2

Short forearm

Yes

3

Bowing of forearm

Yes

3

Appearance of muscular hypertrophy

Yes

3

Dislocation of ulna (at elbow)

Yes

5

Total

24

 

Noonan Syndrome

 

Noonan syndrome (NS) is a relatively common genetic disorder with the incidence of between 1:1000 and 1:4000 (177). NS is inherited in an autosomal dominant manner, and sporadic cases are not uncommon (50-60%) (178). NS is characterized by short stature, cardiac defects (most commonly pulmonary stenosis and hypertrophic cardiomyopathy), facial dysmorphism (down-slanting, antimongoloid palpebral fissures, ptosis, and low-set posteriorly rotated ears), webbed neck, mild mental retardation, cryptorchidism, feeding difficulties in infancy. The phenotype is variable between affected members of the same family and becomes milder with age (179).

 

Nearly 50% of patients with NS have gain-of-function mutations in protein tyrosine phosphatase nonreceptor type 11 (PTPN11), the gene encoding the cytoplasmic tyrosine phosphatase SHP-2, which regulates GH signaling by dephosphorylating STAT5b, resulting in down-regulation of GH activity (180). Mutations in four other genes (KRAS, SOS1, NF1 and RAF1) involved in RAS/MAPK signaling systems have been identified in patients with the NS phenotype and related disorders including LEOPORD, Costello, and cardio-facial-cutaneous syndromes (Figure 28) (181).

Figure 28. The RAS/MAPK signaling pathway. Reprinted with permission (181).

Although identifying these mutations has contributed to better understanding of the pathogenesis of NS, it appears that the genotype does not completely correlate with the phenotype, e.g. short stature in patients with NS. Several studies have shown that the subjects carrying gain of function mutations of PTPN11 had lower IGF1 levels, poor growth response, and resistance to GH therapy compared to subjects without PTPN11 mutations (182,183).  However, data from one large study of individuals with NS did not demonstrate the same correlation between PTPN11 mutations and short stature (177). However, more recent studies showed significant improvement in final adult height in individuals with NS regardless of their mutation type (184,185).

 

DIAGNOSIS

 

Diagnosis of GH deficiency during childhood and adolescence is frequently challenging. Children whose height are below the 3rd percentile or -2 SD and have decreased growth velocity require clinical evaluation. Evaluation should begin with a detailed past medical history, family history, diet history, detailed review of prior growth data (including the initial post-natal period) and a thorough physical examination (186). Together, these should help the clinician identify the pattern and cause of growth failure, such as fetal growth restriction (e.g. SGA and IUGR), chronic illness, malnutrition/malabsorption, hypothyroidism, skeletal abnormalities or other identifiable syndromes, such as Turner syndrome. Once growth hormone deficiency is suspected, further testing of the hypothalamic-pituitary axes (including but not limited to the GH-IGF axis) along with radiological evaluation, should be performed (Table 8). It is important to note that the tests cannot be performed simultaneously, or in random order. Certain conditions (e.g. Hypothyroidism and Celiac disease) may mask the presence of others (e.g. GH deficiency), therefore requiring a stepwise approach with screening tests preceding specific examinations. Since growth failure generally occurs outside of GHD, only those children with signs or symptoms undergo expensive, invasive and non-physiologic GH provocative testing.

 

Table 8. Guidelines for Initial Clinical Evaluation of a Child with Growth Failure

Evaluation 

Key elements

Birth history 

Gestational age, birth weight and length, head circumference, delivery type, birth trauma, hypoglycemia, prolonged jaundice.

Past medical and surgical history 

Head trauma, surgery, cranial radiation, CNS infection.

Review of systems 

Appetite, eating habits, bowel movements, headache, vision change.

Chronic illness 

Anemia, Inflammatory Bowel Disease, cardiovascular disease, renal insufficiency, etc.

Family history 

Consanguinity, parents and siblings’ heights, family history of short stature, delayed puberty.

Physical examination 

Body proportions (upper/lower segment ratios, arm span), head circumference, microphallus, dysmorphism, and midline craniofacial abnormalities.

Growth pattern 

Crossing of percentiles, failure to catch-up.

Screening Tests 

CBC, CMP, ESR/c-reactive protein, Celiac screening, TSH and Free T4, UA, IGF1, IGFBP3, Bone age (and a Karyotype for females)

 

Growth Charts

 

The growth pattern is a key element of growth assessment and is best studied by plotting growth data on an appropriate growth chart. US growth charts were developed from cross-sectional data provided by the National Center for Health Statistics and updated in 2000 (187), with body mass index included in this newest set. The supine length should be plotted for children from birth through age 3 years and standing height plotted when the child is old enough to stand, generally after 2 years of age. Ideally, growth data is determined by evaluating subjects at regular (optimally at 3 month) intervals, with the same stadiometer, and with the same individual obtaining the measurements, whenever possible. Three months is the minimal time interval needed between measurements to calculate a reliable growth velocity, and a six-to-twelve-month interval is optimal. Age and pubertal staging must be considered when evaluating the growth velocity, with the understanding that there is great individual variation in the onset and rate of puberty (188).

 

Deviations across height percentiles should be noted and evaluated further when confirmed, with the understanding that during the first two years of life, the crossing of length and/or weight percentiles may reflect catch-up or catch-down growth. Crossing percentiles during this period is not always physiological, and must be examined in the context of family, prenatal, birth and medical histories. Additionally, between two and three years of age, statural growth measurement changes from supine to erect, and may also introduce variation. Growth below the normal range (e.g.>-2SD) even without further deviation is consistent with (but not pathognomonic of) GH deficiency. Short stature with a low BMI suggests an abnormality of nutrition/GI tract (e.g. malnutrition, Celiac Disease, etc.), while short stature with an elevated BMI suggests hypothyroidism, Cushing’s syndrome or a central eating disorder, such as Prader-Willi syndrome, etc.

 

Figures 29-31 represent growth charts of children studied by the authors who have genetic defects leading to isolated growth hormone deficiency.

Figure 29. Growth pattern in children with isolated GH deficiency (Type 1A).

Growth failure can manifest as severe growth delay (Figure 29), gradual deceleration (“falling off the curve”) (Figure 30), or alternatively, maintaining a growth pattern parallel to the 3rd percentile, but without catch-up growth (Figure 31).

Figure 30. Growth pattern in children with isolated GH deficiency (Type 1B).

Figure 31. Growth pattern in children with isolated GH deficiency (Type 2).

Most children with GH deficiency have normal birth weight and length. However, in most cases, postnatal growth becomes severely compromised. This can be seen even in the first months of life. Although such children may show a normal growth pattern during the first 6 months, growth failure will eventually occur as GH takes on a more physiologically dominant role, and a child’s growth falls below the normal range.

 

Radiological Evaluation

 

The most commonly used system to assess skeletal maturity is to determine the ‘bone age’ of the left hand and wrist, using the method of Greulich and Pyle (189). Children younger than 2 years of age should have their bone age estimated from x-rays of the knee. Tanner and Whitehouse and their colleagues developed a scoring system for each of the hand bones as an alternative method to the method of Greulich and Pyle (190).

 

Adult height prediction methods estimate adult height by evaluating height at presentation relative to normative values for chronological or bone age. Such methods have been utilized for approximately 60 years (191) and are generally considered accurate in evaluating healthy children with a ‘normal’ growth potential (192,193). Several different methods have been produced and are currently in widespread use, including those of Bayley-Pinneau, the Tanner-Whitehouse-Marshall-Carter and Roche-Wainer-Thissen.

 

In 1946, Bayley initially described how final height could be estimated from the present height and the bone age, revising the method in 1952 to use the bone age assessment method of Greulich and Pyle (189). They developed what is commonly known as the predicted adult height (PAH) method of Bayley-Pinneau (BP). Tables have been developed for the BP method, listing the proportion of adult height attained at different bone ages, using longitudinal growth data on 192 healthy white children predominantly from North European ancestry in the US. Three tables – average, advanced and retarded – correct for possible differences between CA and BA of more than one year (194). The Bayley-Pinneau PAH method is applicable from age 8 years onwards.

 

Tanner, Whitehouse, Marshall and Carter developed an adult height prediction model based on current height, the mid-parental height, the age of menarche in girls and the ‘Tanner’ bone age (190). This PAH method (TW2) was developed on the longitudinal data of 211 healthy, British children. TW2 differs from the BP method in that the TW2 lowers the minimal age of prediction to 4 years, and allows for a quantitative effect of BA, while BP gives a semi-quantitative effect of bone age (i.e. delayed, normal or advanced).

 

The PAH method of Roche-Wainer-Thissen (RWT) was derived from longitudinal data on approximately 200 “normal” Caucasian American children in southwestern Ohio, at the Fels Research Institute (195). The RWT PAH method assesses the subject’s height, weight, BA and mid-parental height (MPH) and then applies regression techniques to determine the mathematical weighting to be applied to the four variables. The RWT method was designed to allow final height prediction from a single visit but is only applicable when greater than half of the bones are not fully mature.

 

Since both the bone age assessments and height prediction methods are created from healthy children (and often children from a single ethnic group and region), their use in ‘other’ populations is potentially inappropriate. In fact, Tanner et al state that their method is applicable to both boys and girls with short stature, but caution that “In clearly pathological children, such as those with endocrinopathies, they do not apply”. Similarly, Roche et al suggest caution when applying the RWT PAH method in ‘non-white and pathological populations’ (195). Zachmann et al reported that the RWT and TW2 methods (which are more BA-reliant) are better when growth potential is normal relative to the BA, however, in conditions with “…abnormal and incorrigible growth patterns…”, the BP method was more accurate, stating that with a “non-normal bone maturation to growth potential relationship, the ‘coefficient and regression equations’ (RWT and Tanner) cause an over-prediction of adult height” (196).

 

As stated above, these methods are based on healthy children and assume that the growth potential is directly proportional to the amount of time left prior to epiphyseal fusion as measured by the bone age. While this is correct for some of the children seen by the pediatric endocrinologist (e.g. healthy children, children with GH deficiency), it is not correct for many others with abnormal growth (e.g. children born SGA, children with idiopathic short stature, Turner syndrome and chronic renal failure). It is likely also inappropriate for children with an abnormal tempo of maturation (e.g.children with Russell-Silver syndrome, precocious puberty and congenital adrenal hyperplasia). In such children, standard growth prediction methods should be used only as ‘general guides’, if at all. Table 9 summarizes these 4 methods.

 

Table 9. Summary of Methods Used for PAH

Methods

Parameters

Bayley-Pinneau (BP)

Height, BA, CA

Tanner-Whitehouse- Marshall and Carter (TW2)

Height, BA, CA, MPH, the age of menarche in girls

Roche-Wainer-Thissen (RWT)

Height, weight, BA, MPH

Khamis-Roche

Height, weight, MPH

 

Biochemical Evaluation of GH Deficiency

 

As growth hormone is secreted in a pulsatile manner (usually 6 pulses in 24 hours and mainly during the night) with little serum GH at any given time, several methods have been developed to assess the adequacy of GH secretion:

 

  1. Stimulation testing: GH provocation utilizing arginine, clonidine, glucagon, L-Dopa, insulin, etc. This practice generally measures pituitary reserve-or GH secretory ability-rather than endogenous secretory status. It is labor intensive and trained individuals should perform the GH stimulation test according to a standardized protocol, with special care taken with younger children/infants (186).
  2. GH-dependent biochemical markers: IGF1 and IGFBP3: Values below a cut-off less than -2 SD for IGF1 and/or IGFBP3 strongly suggest an abnormality in the GH axis if other causes of low IGF have been excluded. Age and gender appropriate reference ranges for IGF1 and IGFBP3 are mandatory.
  3. 24-hour or Overnight GH sampling: Blood sampling at frequent intervals designed to quantify physiologic bursts of GH secretion.
  4. IGF generation test: This test is used to assess GH action and for the confirmation of suspected GH insensitivity. GH is given for several days (3-5 days) with serum IGF1 and IGFBP3 levels measured at the start and end of the test. A sufficient rise in IGF1 and IGFBP3 levels would exclude severe forms of GH insensitivity (103,188).

 

Failure to raise the serum GH level to the threshold level in response to provocation suggests the diagnosis of GH deficiency, while a low IGF1 and/or IGFBP3 level is supportive evidence. Although pharmacological GH stimulation tests have known deficiencies such as poor reproducibility, arbitrary cut-off limits, varying GH assays, side effects, and labor intensivity requiring trained staff, they remain the most easily available and accepted tools to evaluate pituitary GH secretory capacity. GH stimulation test results should be interpreted carefully in conjunction with pubertal status and body weight. Puberty and administration of sex steroids increase GH response to stimulation tests (197). To prevent false positive results, some centers use sex steroid priming in prepubertal children prior to GH stimulation testing (198). In obese children, the normal regulation of the GH/IGF1 axis is disturbed and GH secretion is decreased. IGF1 levels are very sensitive to nutritional status, while IGFBP3 are less so. Additionally, the normative range for IGF1 and IGFBP3 values are extremely wide, often with poor discrimination between normal and pathological. Age/pubertal stage and gender-specific threshold values must be utilized for both IGF1 and IGFBP3.

 

Due to the above limitations of current agents, the quest for new, more reliable agents that with fewer side effects and are less labor intensive has been ongoing. One of them is macimorelin acetate, a potent, orally administered growth hormone (GH) secretagogue approved by the FDA and European Medical Agency (EMA) for diagnosing adult growth hormone deficiency (199,200). It functions by increasing GH levels acutely via the ghrelin receptor GHSR1-a (199). Csákváry et al investigated the use of macimorelin as a diagnostic test in children with suspected GH deficiency, finding it to be safe and well-tolerated across different dosing cohorts (200). However, more research is needed to fully understand its efficacy in diagnosing pediatric GH deficiency and its potential therapeutic applications.

 

Growth hormone–releasing peptide-2 (GHRP2) is a potent stimulator of growth hormone secretion (201) and has been investigated its effectiveness diagnosing GH deficiency in children and adolescents (202). It is widely used in Japan for diagnosis of adult GH deficiency (203). GHRP2 also stimulates corticotropes along with somatotropes and maybe useful diagnosis of adrenal insufficiency which is concomitant with GHD in many hypothalamic-pituitary disorders (204).

 

Summary of Diagnosis of GH Deficiency

 

Children with severe GH deficiency can usually be diagnosed easily on clinical grounds and failed GH stimulation tests. Studies have shown that despite clinical evidence of GH deficiency, some children may pass GH stimulation tests (188). In the case of unexplained short stature, if the child meets most of the following criteria, a trial of GH treatment should be initiated (8):

  1. Height >2.25 SD below the mean for age or >2 SD below the mid-parental height percentile,
  2. Growth velocity <25th percentile for bone age,
  3. Bone age >2 SD below the mean for age,
  4. Height prediction is significantly below the mid-parental height,
  5. Low serum insulin-like growth factor 1 (IGF1) and/or insulin-like growth factor binding protein 3 (IGFBP3) for bone age and gender
  6. Other clinical features suggestive of GH deficiency.

 

Key elements that may indicate GH deficiency are:

  1. Height more than 2 SD below the mean.
  2. Neonatal hypoglycemia, microphallus, prolonged jaundice, or traumatic delivery.
  3. Although not required, a peak GH concentration after provocative GH testing of less than 10 ng/ml.
  4. Consanguinity and/or a family member with GH deficiency.
  5. Midline CNS defects, pituitary hypo- or aplasia, pituitary stalk agenesis, empty sella, ectopic posterior pituitary (bright spot’) on MRI.
  6. Deficiency of other pituitary hormones: TSH, PRL, LH/FSH and/or ACTH deficiency.

 

Many practitioners consider GH stimulation tests to be optional in the case of clinical evidence of GH deficiency, in patients with a history of surgery or irradiation of the hypothalamus/pituitary region and growth failure accompanied by additional pituitary hormone deficiencies. Similarly, children born SGA, with Turner syndrome, PWS and chronic renal insufficiency do not require GH stimulation testing before initiating GH treatment (8).

 

TREATMENT

 

The principal objective of GH treatment in children with GH deficiency is to improve final adult height. Human pituitary-derived GH was first used in children with hypopituitarism over 60 years ago, and abruptly ceased in 1985, after the first cases of Creutzfeld-Jacob disease were recognized. Since 1986, recombinant human GH (rhGH) has been the exclusive form of growth hormone used to treat GH deficiency in the United States and most of the world.

 

Short stature without overt growth hormone deficiency is very well described, and occurs in Turner Syndrome, renal failure, malnutrition, cardiovascular disease, Prader-Willi syndrome, small for gestational age, inflammatory bowel disease, and osteodystrophies- clearly representing the majority of short/poorly growing children in the world. Although not the focus of this discussion, it is important to realize that - in clinical terms - GH therapy is used to treat growth failure, rather than a biochemical GH deficiency. GH therapy in this setting, in combination with disease-specific treatments, generally improves statural growth and final adult height.

 

The primary goals of the treatment of a child with GH deficiency are to achieve normal height during childhood and to attain normal adult height. Children should be treated with an adequate dose of rhGH, with the dose tailored to that child’s specific condition. FDA guidelines for daily rhGH dose vary according to the indication and are given in Table 10(8).

 

Administration of daily rhGH in the evening is designed to mimic physiologic hGH secretion. Treatment is continued until adult height or epiphyseal closure (or both) has been recorded. GH therapy, however, should be continued throughout adulthood in the case of GHD, to optimize the metabolic effects of GH and to achieve normal peak bone mass-albeit at significantly lower “adult” doses. Adult GH replacement should only be started after retesting the individual and again demonstrating a failure to reach the new age-appropriate GH threshold, if appropriate.

 

Table 10. GH Dosage for Daily rhGH

Indication 

Dose (mg/kg/wk)

GH Deficiency

     Children Pre-pubertal

     Pubertal

     Adults

 

0.16 – 0.35

0.16 – 0.70

0.04 – 0.175

Turner Syndrome

0.375

Chronic renal insufficiency

0.35

Prader-Willi Syndrome

0.24

SGA

0.48

Idiopathic short stature (ISS)

0.3 – 0.37

SHOX Deficiency

0.35

Noonan Syndrome

0.23 – 0.46

 

The growth response to daily GH treatment is typically maximal in the first year of treatment and then gradually decreases over the subsequent years of treatment. First year growth response to rhGH is generally 200% of the pre-treatment velocity, and after several years, averages 150% of the baseline. Height improvements of 1 SD are typically achieved in children with GHD after two years of treatment, and between 2 and 2.5 SD after five or seven years.

 

GH doses are often increased if catch-up growth is inadequate and/or to compensate for the waning effect of rhGH with time. Cohen et al reported a significant improvement in HV when GH dose was adjusted based on IGF1 levels (205). However, GH dose was almost 3 times higher than mean conventional GH dose when IGF1 levels were titrated to the upper limit of normal. The lack of long-term safety data on high doses of GH and high circulating levels of IGF1 levels should be considered. Therefore, weight-based GH dosing is still recommended by many as the standard of care (206).

 

It is critically important to maximize height with GH therapy before the onset of puberty. Several investigators have advocated modifying puberty or the production of estrogens by the use of GnRH analogues (207–209) and aromatase inhibitors (210–213), respectively, in order to expand the therapeutic window for GH treatment, especially in older males.

 

The response to daily rhGH, however, may vary in children (214). Factors may affect the response to GH therapy including

  1. The etiology of short stature
  2. Age at the start of treatment
  3. Height deficit at the start of treatment
  4. GH dose and frequency
  5. Duration of treatment
  6. Genetic factors

 

Several studies have reported the association between response to GH therapy and a GHR gene polymorphism, the deletion of exon 3 (GHRd3).  Although some reports showed better response to GH therapy in GHRd3 carriers with different clinical conditions including GHD, Turner syndrome, SGA, and ISS (93–95,215,216), many others failed to confirm positive effects of GHRd3 on response to GH treatment (96,217,218). 

 

Long-Acting GH Formulations

 

Daily GH injections can be inconvenient and lead to poor adherence over time in children, with a negative impact on their final adult height. To overcome these barriers, long-acting growth hormone (LAGH) formulations have been developed using various technologies including depot formulations, Pegylated formulations, pro-drug formulations, non-covalent albumin binding GH, and GH fusion proteins (219). It was noted that LAGH does not suppress endogenous GH secretion and can be used for treating non-GH deficient short stature, e.g., idiopathic short stature, with similar efficacy and safety compared to daily GH (220). In addition, the timing of LAGH administration does not appear to be a crucial factor in treatment efficacy, as no differences in growth rate or IGF1 concentrations were observed between morning and evening treatment schedules (221), this further improves compliance and ultimately adult height. In contrast, the typical bedtime administration of daily GH formulations may cause conflict during vacation, trip, or physical and social activities. 

 

Currently, several long-acting growth hormones are available worldwide, utilizing pegylation, prodrug formulations, noncovalent transient albumin binding, and GH fusion proteins and only last three of them are FDA approved in the United States (222,223). The goal of these new formulations is to improve patient compliance while maintaining the efficacy and safety of traditional daily GH therapy.

 

PRO-DRUG FORMULATIONS

 

 Long-acting prodrug growth hormone formulations, such as lonapegsomatropin (Skytrofaâ), are designed to release unmodified growth hormone over an extended period, typically one week, while maintaining similar efficacy and safety profiles as daily injections (224,225). It received FDA approval in August 2021 for treating pediatric patients at least 1 year old with GH deficiency (226,227).

 

 Lonapegsomatropin, also known as TransCon GH, consists of unmodified rhGH transiently attached to an inert carrier molecule, methoxypolyethylene glycol (mPEG), via a transient, low-molecular weight TransCon Linker (227). While the carrier molecule, mPEG, is responsible for decreasing GH receptor binding and renal excretion until its release, the linker determines when to release unmodified rhGH from its carrier prodrug, acts as a timer to allow controlled release of GH at body temperature and pH over one week (224,225,227).  Lonapegsomatropin is administered subcutaneously as daily GH. Because it releases unmodified rhGH over one week under physiologic conditions, it has the same actions as endogenous GH. . In a phase 2 trial comparing TransCon GH to daily growth hormone in children with GHD, the mean annualized height velocity for TransCon GH was 12.9 cm/y compared to 11.6 cm/y for daily growth hormone at an equivalent dose (228). The subsequent phase 3 heiGHt Trial investigated the safety, tolerability, and efficacy of weekly lonapegsomatropin versus daily GH over 52 weeks in treatment-naive prepubertal children with GHD (225,229,230).This trial enrolled 161 treatment-naïve, prepubertal children with GHD. Subjects were randomized 2:1 to receive lonapegsomatropin 0.24 mg/kg/week or daily somatropin (0.34 mg/kg/week). At 52 weeks, annualized height velocity was again better in lonapegsomatropin group (11.2 cm/year) compared to daily GH group 10.3 cm/year (p=0.009). This study confirmed noninferiority and further showed statistical superiority of lonapegsomatropin in annualized height velocity compared to daily GH, with similar safety, in treatment-naïve children with GHD (230).

 

Lonapegsomatropin injections were well tolerated and were not associated with increased adverse effects compared to daily GH. None of study subjects had pseudotumor cerebri, slipped capital femoral epiphysis or hyperglycemia; in contrast, these complications have been previously reported in daily GH therapy (231). However, transient hyperglycemia was recently reported in a child with obesity who was on Lonepegsomatropin suggesting the need for careful glucose monitoring while receiving lonepegsomatropin (232). In the lonapegsomatropin group, although study subjects had higher IGF1 SD and reached target IGF1 SD earlier compared to daily GH-treated group, IGF1/IGFBP3 ratios were similar between the lonapegsomatropin- and daily GH-treated groups. There were two children that required dose reduction due to IGF1 SD >2. In both groups, there were no neutralizing antibodies and low-affinity antibodies were observed.

 

While the phase 3 heiGHt Trial in children established non-inferiority and statistical superiority of height velocity compared to daily growth hormone therapy, with no concerning side effects (230), the fliGHt Trial showed that switching from daily somatropin to lonapegsomatropin resulted in a similar adverse event profile and maintained growth outcomes (233). Long-term data from the enliGHten trial showed continued improvement in height standard deviation scores through the third year of therapy (234).

 

NONVALENT TRANSIENT ALBUMIN BINDING FORMULATIONS

 

Somapacitan (Sogroyaâ) was developed using a well-established protraction method which previously has been used to extend half-lives of insulin detemir and glucagon like peptide 1 agonists (liraglutide and semaglutide). It is a novel albumin-binding GH derivative, with a small albumin-binding property attached to the GH molecule (235). Somapacitan consists of a human GH molecule and a single amino acid substitution at position 101 (leucine to cysteine) where a side chain has been attached (235). Amino acid substitution, Leu101Cys does not affect the binding to the GH receptor and the side chain consists of a hydrophilic spacer and an albumin-binding moiety (236). The reversible binding to endogenous albumin delays the elimination of somapacitan, extends its half-life and, therefore, duration of action, allowing once-weekly administration (237). Somapacitan was first approved for adult growth hormone deficiency in August 2020, and later for pediatric growth hormone deficiency in April 2023 by the US Food and Drug Administration.

 

Clinical trials have demonstrated somapacitan’s efficacy and safety compared to daily GH injections (238,239). In children with GHD, somapacitan showed similar height velocity and IGF1 increases as daily GH, with similar safety profiles including neutralizing antibodies, bone maturation, and metabolic profile over 1 year-2 years-and 4 years of treatment (238,240,241).  In addition, authors assessed disease burden and treatment burden on both patients and parents/guardians, at years 2, 3, 4 which showed both groups strongly preferred weekly somapacitan over daily GH injections (241). 

 

For adults with GHD, somapacitan improved body composition and IGF1 levels while being well-tolerated (242).Interestingly, somapacitan may have some advantages over daily GH. It showed neutral effects on glucose metabolism in adults with GHD, with no new cases of diabetes reported in long-term studies (243). In some patients switching from daily GH, somapacitan led to improvements in lipid metabolism and glucose tolerance, suggesting a potentially higher GH replacement effect (244). However, weekly injections may be easier to forget than daily ones for some patients (244).

 

GH FUSION PROTEIN FORMULATIONS

 

Somatrogon (NGENLA®) consists of rhGH combined with three copies of the carboxy terminal peptide (CTP) from human chorionic gonadotropin resulting in a fusion protein of approximately 41 kDa (245). The addition of the CTP moieties extends the half-life of the attached rhGH, allowing for once-weekly subcutaneous administration (246). Somatrogon is the last LAGH that received FDA approval in June 2023 for the treatment of pediatric GH deficiency.

 

Clinical trials have demonstrated the efficacy and safety of somatrogon. In a phase 3 randomized trial, once-weekly somatrogon was non-inferior to once-daily human GH in increasing height velocity in pediatric patients with GHD (247).The mean height velocity at 12 months was 10.12 cm/yr for somatrogon compared to 9.78 cm/yr for daily GH (247).Interestingly, a comparison with published literature and the KIGS database indicated that children treated with once-weekly somatrogon (0.66 mg/kg/week) showed good growth compared to children treated with once-daily human growth hormone (248) and sustained improvement in height SDS and delta height SDS up to 5 years of treatment (249).

 

Similar to other LAGH formulations, somatrogon is generally well-tolerated, with injection site pain being the most frequent treatment-emergent adverse event (246). Furthermore, somatrogon had a lower treatment burden with favorable treatment experience than daily GH (233).

 

SUMMARY

 

In summary, long-acting growth hormone formulations represent a significant advancement in the treatment of growth hormone deficiency. While long-acting growth hormone formulations offer a promising alternative to daily growth hormone injections as well as improving treatment adherence and quality of life due to less frequent injections, there are some concerns regarding their unphysiological profile. Ongoing research and long-term studies are necessary to fully understand their efficacy, safety, and optimal use in clinical practice (250,251). Additionally, cost-effectiveness and the identification of patient groups that may benefit most from weekly injections are areas that require further investigation (250,252). Table 11 summarizes the approved dosage for long-acting growth hormone formulations.

 

Table 11. GH dosage for long-acting growth hormone

Medication

Dose (mg/kg/wk)

Somapacitan (Sogroyaâ)

0.16

Somatrogon (NGENLA®)

0.66

Lonapegsomatropin (Skytrofaâ)

0.24

 

Monitoring GH Treatment

 

Children receiving GH therapy require periodic monitoring. Three-month intervals are commonly chosen to allow for sufficient growth for a meaningful measurement, while minimizing time between dose adjustments/intervention. During follow up visits, height, weight, pubertal status, inspection of injection sites, and a comprehensive clinical exam should be initiated. In clinical practice, there are several parameters to monitor the response to GH treatment; the determination of the growth response (i.e. change in height velocity, ∆HV) being the most important parameter.  These points are summarized in Table 12.

 

Table 12. Summary of Follow-Up Evaluation

Parameters 

Assessment

Bone age 

12-month intervals to assess the predicted height.

Thyroid Function Test 

6-month intervals, or immediately, if growth velocity decreases.

Serum IGF1

Most useful in maintaining GH dose in ‘safe’ region. It does not necessarily correlate with growth velocity.

12-month intervals for daily rhGH.

However, timing to assess IGF-1 varies for each long-acting GH formulations. Monitoring of IGF-1 should be based on the mean IGF-1 over the week, which is on day 4 for somatrogon and somapacitan, and day 4.5 for lonapegsomatropin.

Metabolic panel, HbA1C 

12-month intervals.

Dose adjustment 

Should be based on weight-change, growth response, pubertal stage, comparison to predicted height at each visit, and IGF1/IGFBP3 levels.

Adverse Events 

Every visit.

 

The Safety of GH Treatment

 

To date, multiple studies have demonstrated the safety of GH therapy (6,63,186,187,253–256). While rhGH treatment is generally considered safe, patients, however, should be monitored closely during treatment. Some of the common side effects seen during GH therapy are scoliosis, slipped capital femoral epiphysis (SCFE), pancreatitis, and pseudotumor cerebri (intracranial hypertension).   An analysis of Genentech’s National Cooperative Growth Study (NCGS) identified eleven cases of adrenal insufficiency (AI) resulting in four deaths.  All eleven cases of AI occurred in patients with organic GH deficiency (n=8,351), yielding an incidence of 132 per 100,000 in this subgroup, and an overall incidence of AI in NCGS was 20 per 100,000 (257). 

 

Another concern is the use of GH in patients with Prader-Willi syndrome. Early recognition of the syndrome allows earlier intervention to prevent morbidity. Previous studies and data from KIGS showed that earlier initiation of GH treatment in children with PWS significantly improved body composition, muscle tone, growth, and cognition (258). Fatalities have been reported in patients with Prader-Willi syndrome during or after rhGH therapy (259). Data for children aged 3 years and older showed no statistically significant differences between the GH-treated and untreated groups with respect to cause of death, including respiratory infection or insufficiency (259,260). Although there is no clear evidence that those deaths are related to GH therapy, it was postulated that GH/IGF1 may worsen sleep apnea or hypoventilation via increasing tonsillar/adenoid tissue or worsen pre-existing impaired respiration by increasing volume load (261). However, studies on respiratory function of subjects with Prader-Willi syndrome during rhGH therapy have only demonstrated improved respiratory drive and function (262). In fact, a recent study showed that all subjects tested had abnormal sleep studies/parameters prior to initiating GH treatment, and that GH treatment resulted in an improvement in sleep apnea in the majority of patients with PWS. Importantly, however, a subset had worsening of sleep disturbance shortly after (6 wk) starting GH when also developing a respiratory infection (263). Because it is difficult to predict who will worsen with GH treatment, these authors recommend that patients with Prader-Willi syndrome have polysomnography before and 6 wk after starting rhGH and should be monitored for sleep apnea during upper respiratory tract infections. IGF1 levels should also be monitored.

 

The data on the efficacy and safety of GH treatment in 5220 Turner Syndrome (TS) children during the last 20 years has been reported by NCGS. The incidence of various side effects known to be associated with GH including pseudotumor cerebri, slipped capital femoral epiphysis, and scoliosis was increased in TS patients treated with GH compared with non-TS patients, however, children with TS are known to have a higher incidence of these side effects independent of rhGH treatment (264). Interestingly, type 1 diabetes was increased in GH treated group, most likely unrelated to GH treatment since the predisposition to autoimmune disorders is one of the characteristics of TS. In addition, NCGS data demonstrate a slightly increased incidence of a variety of malignancies in TS, however, this may again be related to the underlying condition, (i.e. not necessarily the rhGH treatment) as girls with TS have been shown to have an increased risk for cancer compared to general population (265). In summary, twenty years of experience in 5220 patients seems reassuring and does not indicate any new rhGH-related safety signals in the TS population (264).

 

There has been ongoing concern about tumorigenicity of chronically elevated IGF1 levels. It would therefore seem prudent to maintain IGF1 levels in the mid-normal range for age/pubertal stage and gender. Although the long-term consequences of elevated IGF1 levels during childhood are not known, some investigators recommend that dose reductions be considered if IGF1 levels are above the normal range (8).  The report from the Safety and Appropriateness of Growth Hormone Treatments in Europe (SAGhE) in 2012, raised many concerns about the long-term safety of rhGH therapy in children.  SAGhE is a large database established by eight European countries to evaluate the long-term safety of childhood GH treatment between 1980s and 1990s in 30,000 patients.  Preliminary analysis of the patients in France revealed that among patients treated with rhGH, there was a 33% increased relative risk of mortality compared with French general population.  They also noted an increased incidence of bone malignancies and cardiovascular disease (266). However, the data from the Belgian, Swedish the Dutch portions of SAGhE did not support or corroborate the findings that were reported from France (267).

 

Real and Theoretical adverse events of GH therapy are summarized in Table13.

 

Table 13.  Real and Theoretical Adverse Events of GH Treatment

Side effects 

Comment

Slipped capital femoral epiphysis (SCFE) 

Unclear whether GH causes SCFE or if it is a result of diathesis and rapid growth induced by the GH. In addition, obesity, trauma, and previous radiation exposure increase the risk for SCFE.  At each visit, patients should be evaluated for knee or hip pain/limp.

Pseudotumor cerebri 

The mechanism is unclear, but it may be a result of GH induced salt and water retention within the CNS. Mostly occurs within the first months of treatment.  It is more common in patients with organic GH deficiency, chronic renal insufficiency, and Turner Syndrome (257).  Complaints of headache, nausea, dizziness, ataxia, or visual changes should be evaluated immediately.

Leukemia 

Numerous large studies have not shown any association between rhGH and leukemia in children without predisposing conditions (254,257,268).

Recurrence risk of CNS tumors 

Extensive studies did not support this possible side effect without risk factors (253,257,269–272)

Risk of primary malignancy

Studies have not shown a higher risk of all-site primary malignancy without a history of previous malignancy (273,274)

Insulin resistance 

Insulin resistance is associated with GH therapy, though it is generally transient and/or reversible and rarely leads to overt diabetes.  Patients with a limited insulin reserve may develop glucose intolerance. HbA1C should be monitored.

Pancreatitis

It may occur in patients with Turner syndrome, and associated risk factors (257).

Hypothyroidism 

Almost 25 % of children may develop declines in serum T4 levels, generally reflecting enhanced conversion of T4 to T3, rather than outright hypothyroidism.

Transient gynecomastia 

These are attributed to anabolic and metabolic effects of GH.

Scoliosis 

It is more common in Turner syndrome and PWS.  Patients should be evaluated for scoliosis at each visit and referred as appropriate

Adrenal Insufficiency

GH decreases the conversion of corticosterone to cortisol by a modulating effect on hepatic 11-beta hydroxysteroid dehydrogenase 1. Thus, endogenous cortisol levels can decrease in GHD patients after initiation of GH treatment. Furthermore, GH therapy may unmask previously unsuspected central ACTH deficiency.  Whether the patients with hypopituitarism are on GH or not, they have a lifelong risk for adrenal insufficiency.  Therefore, they should be monitored closely for adrenal insufficiency and their cortisol dose should be adjusted when GH therapy is started (257).

Sleep apnea/sleep disturbance

GH treatment might worsen sleep apnea/sleep disturbance in patients with Prader-Willi Syndrome, especially during a concomitant respiratory infection.

 

Transitioning GH Treatment from Childhood to Adulthood

 

Growing data support the need for continuation of GH treatment in individuals with childhood GH deficiency.  GH treatment provides significant benefits in body composition, bone mineralization, lean body mass, lipid metabolism, and quality of life in adults with GH deficiency (275,276). However, identifying appropriate patients for transitioning from childhood to adult GH therapy remains challenging. The majority of children with a diagnosis of GHD and who are treated with GH do not have permanent GHD and will not require treatment during adulthood.  Re-evaluation of GH secretory capacity is recommended after completion of linear growth in adolescents with history of childhood GHD (277). However, such re-evaluation requires cessation of GH treatment for at least one month.  Furthermore, there is no established optimal GH stimulation test identified and validated during this transition period.  The stimulation test results vary by protocol, and only a few secretagogues (insulin, arginine, and glucagon) are available to confirm GHD.  The cut-off values are also stricter; the peak GH level to establish GHD is <6 mcg/L for the insulin tolerance test and ≤ 3 mcg/L for the glucagon test in young adults (278,279).  It is generally agreed that patients with severe GHD secondary to organic defects (hypothalamic-pituitary abnormalities, tumors involving pituitary or hypothalamic area, infiltrative diseases, and cranial irradiation), genetic causes of GHD involving one or more additional pituitary hormone deficiencies and serum IGF-1 level below the normal range at least one month off therapy, are more likely to have permanent GHD and retesting to confirm GHD is unnecessary (275,279). However, children with idiopathic GHD are less likely to have permanent GHD.  In a US study, only one third of patients with idiopathic GHD retested as GHD (280).  In that cohort, authors found age <4 at diagnosis and IGFBP3 below -2.0 SDS were the strongest predictive factors (100% PPV) for permanent GHD.  In contrast to previous studies (277), low IGF-1 (< -2.0 SDS) did not have significant power to identify permanent GHD unless IGF-1 level was extremely low (-5.3 SDS) (280). 

 

In summary, current guidelines recommend the measurement of serum IGF-1 levels and a GH stimulation test after cessation of treatment for at least one month to determine whether the adolescents with childhood-onset GHD will need ongoing treatment unless they have known organic or genetic defects in the hypothalamic-pituitary region (275,276,279).

 

CONCLUSION

 

The control of human growth is becoming increasingly clear and involves both genetic and environmental factors. Many genes have been identified as being involved in normal growth and in the common phenotype of short stature.  Genetic analyses, however, should follow a detailed clinical, biochemical and radiological assessment in order to refine the phenotype and point to the relevant pathophysiology, e.g. genes involved in the development and function of the pituitary gland (e.g. POU1F1), those involved in transducing the GH signal (e.g. STAT5B) or the IGF1 signal (e.g. PAPPA2) and everything further “downstream”, e.g. the growth plate, (e.g. SHOX).  Clinical identification of patterns and unique findings can direct the genetic evaluation and narrow its focus – e.g. short stature with an advanced bone age may suggest mutations in the ACAN gene.

 

Identifying causes of short stature is challenging due to many factors, including the lack of ‘gold standard’ diagnostic criteria and limitations in available diagnostic tests (281). Clinical, biochemical and radiological evaluation continue to be the foundation for diagnosis. IGF1 and IGFBP3 measurements and neuroimaging play especially critical roles in defining the clinical phenotype, and in directing genetic testing to establish the diagnosis in children with abnormal growth and initiating appropriate treatment (281,282).

 

Treatment with rhGH has been shown to be effective and safe, improving linear growth and achieving adult heights in the normal range, as well as improving body composition, bone mineral density, cardiovascular outcomes, and quality of life (283–285). rhIGF1 may be considered for select children, especially those with primary severe IGF1 deficiency. The timing of treatment initiation and dosage are crucial factors in determining treatment outcomes (286). Additionally, continuing GH administration during the transition period between childhood and adulthood may be necessary for proper body composition, bone and muscle health, and metabolic parameters (287). Weekly GH preparations are now approved for the treatment of children with GH deficiency and offer the potential for reduced treatment burden, increased compliance and improved clinical outcomes (219,288). However, long-term safety concerns and non-physiological GH profiles, need to be carefully monitored and addressed in future studies; a growth hormone registry for daily and weekly GH preparations may help resolve these questions (250,289).

 

The understanding of growth remains complex, despite remarkable scientific advances in the last decades. Elucidation of new genetic factors, diagnostic tests and treatment options will provide us with a better understanding of the physiology of growth and should lead to improved diagnosis and treatment options, individualized to each patients’ unique situation.

 

REFERENCES

 

  1. Knobil E, Greep R. The physiology of growth hormone with particular reference to its action in the rhesus monkey and the’species specificity’problem. Recent Progr Horm Res. 1959;15(1).
  2. Ranke MB, Wit JM. Growth hormone - past, present and future. Nat Rev Endocrinol. 2018 May;14(5):285–300.
  3. Slonim AE, Bulone L, Damore MB, Goldberg T, Wingertzahn MA, McKinley MJ. A preliminary study of growth hormone therapy for Crohn’s disease. N Engl J Med. 2000;342(22):1633–7.
  4. Touati G, Prieur AM, Ruiz JC, Noel M, Czernichow P. Beneficial effects of one-year growth hormone administration to children with juvenile chronic arthritis on chronic steroid therapy. I. Effects on growth velocity and body composition. J Clin Endocrinol Metab. 1998;83(2):403–9.
  5. Hardin DS, Stratton R, Kramer JC, de la Rocha SR, Govaerts K, Wilson DP. Growth hormone improves weight velocity and height velocity in prepubertal children with cystic fibrosis. Horm Metab Res. 1998;30(10):636–41.
  6. Hardin DS, Ellis KJ, Dyson M, Rice J, McConnell R, Seilheimer DK. Growth hormone improves clinical status in prepubertal children with cystic fibrosis: results of a randomized controlled trial. J Pediatr. 2001;139(5):636–42.
  7. Gullett NP, Hebbar G, Ziegler TR. Update on clinical trials of growth factors and anabolic steroids in cachexia andwasting. Am J Clin Nutr. 2010 Apr;91(4):1143S-1147S.
  8. Wilson TA, Rose SR, Cohen P, Rogol AD, Backeljauw P, Brown R, et al. Update of guidelines for the use of growth hormone in children: the Lawson Wilkins Pediatric Endocrinology Society Drug and Therapeutics Committee. J Pediatr. 2003;143(4):415–21.
  9. Savage MO, Simon D, Czernichow PC. Growth hormone treatment in children on chronic glucorticoid therapy. Endocr Dev. 2011;20:194–201.
  10. Mauras N, George D, Evans J, Milov D, Abrams S, Rini A, et al. Growth hormone has anabolic effects in glucocorticosteroid-dependent children with inflammatory bowel disease: A pilot study. Metabolism. 2002;51(1):127–35.
  11. Lin-Su K, Vogiatzi MG, Marshall I, Harbison MD, Macapagal MC, Betensky B, et al. Treatment with growth hormone and LHRH analogue improves final adult height in children with congenital adrenal hyperplasia. J Clin Endocrinol Metab. 2005;jc.2004-2128.
  12. Rosenbloom AL. Mecasermin (recombinant human insulin-like growth factor I). Adv Ther. 2009;26(1):40.
  13. Larsen WJ. Human Embryology. Second. Churchhill Livingstone, Inc; 1997.
  14. De Rienzo F, Mellone S, Bellone S, Babu D, Fusco I, Prodam F, et al. Frequency of genetic defects in combined pituitary hormone deficiency: a systematic review and analysis of a multicentre Italian cohort. Clin Endocrinol. 2015;83(6):849–60.
  15. Phillips JA, Cogan JD. Genetic basis of endocrine disease. 6. Molecular basis of familial human growth hormone deficiency. J Clin Endocrinol Metab. 1994;78(1):11–6.
  16. Roessler E, Du Y-Z, Mullor JL, Casas E, Allen WP, Gillessen-Kaesbach G, et al. Loss-of-function mutations in the human GLI2 gene are associated with pituitary anomalies and holoprosencephaly-like features. Proc Natl Acad Sci U S A. 2003;100(23):13424–9.
  17. Roessler E, Ermilov AN, Grange DK, Wang A, Grachtchouk M, Dlugosz AA, et al. A previously unidentified amino-terminal domain regulates transcriptional activity of wild-type and disease-associated human GLI2. Hum Mol Genet. 2005;14(15):2181–8.
  18. França MM, Jorge AAL, Carvalho LRS, Costalonga EF, Vasques GA, Leite CC, et al. Novel heterozygous nonsense GLI2 mutations in patients with hypopituitarism and ectopic posterior pituitary lobe without holoprosencephaly. J Clin Endocrinol Metab. 2010;95(11):E384–91.
  19. Demiral M, Demirbilek H, Unal E, Durmaz CD, Ceylaner S, Ozbek MN. Ectopic posterior pituitary, polydactyly, midfacial hypoplasia and multiple pituitary hormone deficiency due to a novel heterozygous IVS11-2A>C(C.1957-2A>C) mutation in GLI2 gene. J Clin Res Pediatr Endocrinol. 2020;12(3):319-28.
  20. Netchine I, Sobrier ML, Krude H, Schnabel D, Maghnie M, Marcos E, et al. Mutations in LHX3 result in a new syndrome revealed by combined pituitary hormone deficiency. Nat Genet. 2000;25(2):182–6.
  21. Bhangoo APS, Hunter CS, Savage JJ, Anhalt H, Pavlakis S, Walvoord EC, et al. Clinical case seminar: a novel LHX3 mutation presenting as combined pituitary hormonal deficiency. J Clin Endocrinol Metab. 2006;91(3):747–53.
  22. Raetzman LT, Ward R, Camper SA. Lhx4 and Prop1 are required for cell survival and expansion of the pituitary primordia. Development. 2002;129(18):4229–39.
  23. Mullen RD, Colvin SC, Hunter CS, Savage JJ, Walvoord EC, Bhangoo APS, et al. Roles of the LHX3 and LHX4 LIM-homeodomain factors in pituitary development. Mol Cell Endocrinol. 2007 Feb;265–266:190–5.
  24. Sobrier ML, Attié-Bitach T, Netchine I, Encha-Razavi F, Vekemans M, Amselem S. Pathophysiology of syndromic combined pituitary hormone deficiency due to a LHX3 defect in light of LHX3 and LHX4 expression during early human development. Gene Expr Patterns. 2004;5(2):279–84.
  25. Machinis K, Pantel J, Netchine I, Leger J, Camand OJ, Sobrier ML, et al. Syndromic short stature in patients with a germline mutation in the LIM homeobox LHX4. Am J Hum Genet. 2001;69(5):961–8.
  26. Dattani MT, Martinez-Barbera JP, Thomas PQ, Brickman JM, Gupta R, Martensson IL, et al. Mutations in the homeobox gene HESX1/Hesx1 associated with septo-optic dysplasia in human and mouse. Nat Genet. 1998;19(2):125–33.
  27. Carvalho LR, Woods KS, Mendonca BB, Marcal N, Zamparini AL, Stifani S, et al. A homozygous mutation in HESX1 is associated with evolving hypopituitarism due to impaired repressor-corepressor interaction. J Clin Invest. 2003;112(8):1192–201.
  28. Parks JS, Brown MR, Hurley DL, Phelps CJ, Wajnrajch MP. Heritable disorders of pituitary development. J Clin Endocrinol Metab. 1999;84(12):4362–70.
  29. Thomas PQ, Dattani MT, Brickman JM, McNay D, Warne G, Zacharin M, et al. Heterozygous HESX1 mutations associated with isolated congenital pituitary hypoplasia and septo-optic dysplasia. Hum Mol Genet. 2001;10(1):39–45.
  30. Rosenbloom A l., Almonte AS, Brown MR, Fisher DA, Baumbach L, Parks JS. Clinical and biochemical phenotype of familial anterior hypopituitarism from mutation of the PROP1 gene. J Clin Endocrinol Metab. 1999;84(1):50–7.
  31. Turton JPG, Mehta A, Raza J, Woods KS, Tiulpakov A, Cassar J, et al. Mutations within the transcription factor PROP1 are rare in a cohort of patients with sporadic combined pituitary hormone deficiency (CPHD). Clin Endocrinol (Oxf). 2005;63(1):10–8.
  32. Pfäffle RW, DiMattia GE, Parks JS, Brown MR, Wit JM, Jansen M, et al. Mutation of the POU-specific domain of Pit-1 and hypopituitarism without pituitary hypoplasia. Science. 1992;257(5073):1118–21.
  33. Turton JPG, Reynaud R, Mehta A, Torpiano J, Saveanu A, Woods KS, et al. Novel mutations within the POU1F1 gene associated with variable combined pituitary hormone deficiency. J Clin Endocrinol Metab. 2005;90(8):4762–70.
  34. Dattani MT. Growth hormone deficiency and combined pituitary hormone deficiency: does the genotype matter? Clin Endocrinol (Oxf). 2005;63(2):121–30.
  35. Rizzoti K, Brunelli S, Carmignac D, Thomas PQ, Robinson IC, Lovell-Badge R. SOX3 is required during the formation of the hypothalamo-pituitary axis. Nat Genet. 2004;36(3):247–55.
  36. Foster JW, Graves JA. An SRY-related sequence on the marsupial X chromosome: implications for the evolution of the mammalian testis-determining gene. Proc Natl Acad Sci U S A. 1994;91(5):1927–31.
  37. Stevanović M, Lovell-Badge R, Collignon J, Goodfellow PN. SOX3 is an X-linked gene related to SRY. Hum Mol Genet. 1993;2(12):2013–8.
  38. Collignon J, Sockanathan S, Hacker A, Cohen-Tannoudji M, Norris D, Rastan S, et al. A comparison of the properties of Sox-3 with Sry and two related genes, Sox-1 and Sox-2. Development. 1996;122(2):509–20.
  39. Laumonnier F, Ronce N, Hamel BCJ, Thomas P, Lespinasse J, Raynaud M, et al. Transcription factor SOX3 is involved in X-Linked mental retardation with growth hormone deficiency. Am J Hum Genet. 2002;71(6):1450–5.
  40. Woods KS, Cundall M, Turton J, Rizotti K, Mehta A, Palmer R, et al. Over- and underdosage of SOX3 is associated with infundibular hypoplasia and hypopituitarism. Am J Hum Genet. 2005;76(5):833–49.
  41. Goosens M, Brauner R, Czernichow P, Duquesnoy P, Rapaport R. Isolated growth hormone (GH) deficiency type 1A associated with a double deletion in the human GH gene cluster. J Clin Endocrinol Metab. 1986;62(4):712–6.
  42. Wagner JK, Eblé A, Hindmarsh PC, Mullis PE. Prevalence of human GH-1 gene alterations in patients with isolated growth hormone deficiency. Pediatr Res. 1998;43(1):105–10.
  43. Wajnrajch MP, Gertner JM, Harbison MD, Chua SC, Leibel RL. Nonsense mutation in the human growth hormone releasing hormone receptor causes growth failure analogous to the little (lit) mouse. Nat Genet. 1996;12:88–90.
  44. Binder G, Nagel BH, Ranke MB, Mullis PE. Isolated GH deficiency (IGHD) type II: imaging of the pituitary gland by magnetic resonance reveals characteristic differences in comparison with severe IGHD of unknown origin. Eur J Endocrinol. 2002;147(6):755–60.
  45. Mullis PE, Robinson ICAF, Salemi S, Eble A, Besson A, Vuissoz J-M, et al. Isolated autosomal dominant growth hormone deficiency: An evolving pituitary deficit? A multicenter follow-up study. J Clin Endocrinol Metab. 2005;90(4):2089–96.
  46. Cogan JD, Ramel B, Lehto M, Phillips J, Prince M, Blizzard RM, et al. A recurring dominant negative mutation causes autosomal dominant growth hormone deficiency--a clinical research center study. J Clin Endocrinol Metab. 1995;80(12):3591–5.
  47. Takahashi Y, Shirono H, Arisaka O, Takahashi K, Yagi T, Koga J, et al. Biologically inactive growth hormone caused by an amino acid substitution. J Clin Invest. 1997;100(5):1159–65.
  48. McCarthy EM, Phillips JA. Characterization of an intron splice enhancer that regulates alternative splicing of human GH pre-mRNA. Hum Mol Genet. 1998;7(9):1491–6.
  49. Cogan JD, Prince MA, Lekhakula S, Bundey S, Futrakul A, McCarthy EM, et al. A novel mechanism of aberrant pre-mRNA splicing in humans. Hum Mol Genet. 1997;6(6):909–12.
  50. Hayashi Y, Yamamoto M, Ohmori S, Kamijo T, Ogawa M, Seo H. Inhibition of growth hormone (GH) secretion by a mutant GH-I gene product in neuroendocrine cells containing secretory granules: An implication for isolated GH deficiency inherited in an autosomal dominant manner. J Clin Endocrinol Metab. 1999;84(6):2134–9.
  51. Kamijo T, Hayashi Y, Seo H, Ogawa M. Hereditary isolated growth hormone deficiency caused by GH1 gene mutations in Japanese patients. Growth Horm IGF Res. 1999;9(Suppl B):31–4.
  52. Lee MS, Wajnrajch MP, Kim SS, Plotnick LP, Wang J, Gertner JM, et al. Autosomal dominant growth hormone (GH) deficiency type II: the Del32-71-GH deletion mutant suppresses secretion of wild-type GH. Endocrinology. 2000;141(3):883–90.
  53. Vivenza D, Guazzarotti L, Godi M, Frasca D, di Natale B, Momigliano-Richiardi P, et al. A novel deletion in the GH1 gene including the IVS3 branch site responsible for autosomal dominant isolated growth hormone deficiency. J Clin Endocrinol Metab. 2006;91(3):980–6.
  54. Fintini D, Salvatori R, Salemi S, Otten B, Ubertini G, Cambiaso P, et al. Autosomal-dominant isolated growth hormone deficiency (IGHD type II) with normal GH-1 gene. Horm Res. 2006;65(2):76–82.
  55. Veldhuis JD, Roemmich JN, Rogol AD. Gender and sexual maturation-dependent contrasts in the neuroregulation of growth hormone secretion in prepubertal and late adolescent males and females--a general clinical research center-based study. J Clin Endocrinol Metab. 2000;85(7):2385–94.
  56. van den Berg G, Veldhuis JD, Frölich M, Roelfsema F. An amplitude-specific divergence in the pulsatile mode of growth hormone (GH) secretion underlies, the gender difference in mean GH concentrations in men and premenapausal women. J Clin Endocrinol Metab. 1996;81(7):2460–7.
  57. 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(10):1374–83.
  58. Rivier J, Spiess J, Thorner M, Vale W. Characterization of a growth hormone-releasing factor from a human pancreatic islet tumour. Nature. 1982;300(5889):276–8.
  59. Gonzalez-Crespo S, Boronat A. Expression of the rat growth hormone-releasing hormone gene in placenta is directed by an alternative promoter. Proc Natl Acad Sci U S A. 1991;88(19):8749-53.
  60. Rogol AD, Blizzard RM, Foley TPJ, Furlanetto R, Selden R, Mayo K, et al. Growth hormone releasing hormone and growth hormone: Genetic studies in familial growth hormone deficiency. Pediatr Res. 1985;19:489–92.
  61. Mayo KE. Molecular cloning and expression of a pituitary-specific receptor for growth hormone-releasing hormone. Mol Endocrinol. 1992;6:1734–44.
  62. Godfrey P, Rahal JO, Beamer WG, Copeland NG, Jenkins NA, Mayo KE. GHRH receptor of little mice contains a missense mutation in the extracellular domain that disrupts receptor function. Nat Genet. 1993;4(3):227-32.
  63. Lin SC, Lin CR, Gukovsky I, Lusis AJ, Sawchenko PE, Rosenfeld MG. Molecular basis of the little mouse phenotype and implications for cell type-specific growth. Nature. 1993;364(6434):208–13.
  64. Wajnrajch MP, Chua SC, Green ED, Leibel RL. Human growth hormone-releasing hormone receptor (GHRHR) maps to a YAC at Chromosome 7p15. Mamm Genome. 1994;5(9):595.
  65. Baumann G, Maheshwari H. The dwarfs of Sindh:severe growth hormone (GH) deficiency caused by a mutation in the GH-releasing hormone receptor gene. Acta Pediatr Suppl. 1997;423:33–8.
  66. Netchine I, Talon P, Dastot F, Vitaux F, Goosens M, Amselem S. Extensive phenotypic analysis of a family with growth hormone (GH) deficiency caused by a mutation in the GH-releasing hormone receptor gene. J Clin Endocrinol Metab. 1998;83(2):432–6.
  67. Salvatori R, Hayashida CY, Aguiar-Oliveira MH, Phillips JA, Souza AH, Gondo RG, et al. Familial dwarfism due to a novel mutation of the growth hormone-releasing hormone receptor gene. J Clin Endocrinol Metab. 1999;84(3):917–23.
  68. Wajnrajch MP, Gertner JM, Harbison MD, Netchine I, Maheshwari HG, Baumann G, et al. Haplotype analysis of the growth hormone releasing hormone receptor locus in three apparently unrelated kindreds from the Indian subcontinent with the identical mutation in the GHRH receptor. Am J Med Genet. 2003;120A:77–83.
  69. Desai MP, Upadhye PS, Kamijo T, Yamamoto M, Ogawa M, Hayashi Y, et al. Growth hormone releasing hormone receptor (GHRH-r) gene mutation in Indian children with familial isolated growth hormone deficiency: a study from western India. J Pediatr Endocrinol Metab. 2005;18(10):955–73.
  70. Roelfsema F, Biermasz NR, Veldman RG, Veldhuis JD, Frolich M, Stovkis-Brantsma WH, et al. Growth hormone (GH) secretion in patients with an inactivating defect of the GH-releasing hormone (GHRH) receptor is pulsatile: evidence for a role for non-GHRH inputs into the generation of GH pulses. J Clin Endocrinol Metab. 2001;86(6):2459–64.
  71. MacIntyre I, Szelke M, Royal Postgraduate Medical S, Bowers CY, Chang J, Momany FA, et al. Effects of the enkephalins and enkephalin-analog on release of pituitary hormones in vitro. In: Molecular Endocrinology: Proceedings of Endocrinology ’77 held at the Royal College of Physicians, London, England on 11-15 July, 1977. New York: Elsevier/North-Holland Biomedical Press; 1977.
  72. Kojima M, Hosoda H, Date Y, Nakazato M, Matsuo H, Kangawa K. Ghrelin is a growth-hormone-releasing acylated peptide from stomach. Nature. 1999;402(6762):656–60.
  73. Wajnrajch MP, Gertner JM, Mullis PE, Cogan JD, Dannies PS, Kim S, et al. Arg183His, a new mutational hot-spot in the growth hormone gene causing isolated GH deficiency type II. J Endocr Genet. 2000;1(3):124–34.
  74. Howard AD, Feighner SD, Cully DF, Arena JP, Liberator PA, Rosenblum CI, et al. A receptor in pituitary and hypothalamus that functions in growth hormone release. Science. 1996;273:974–7.
  75. Takaya K, Ariyasu H, Kanamoto N, Iwakura H, Yoshimoto A, Harada M, et al. Ghrelin strongly stimulates growth hormone release in humans. J Clin Endocrinol Metab. 2000;85(12):4908–11.
  76. Bercu B, Walker RF. Novel growth hormone secretagogues: Clinical applications. Endocrinologist. 1997;7(1):51-64.
  77. Giustina A, Bonfanti C, Licini M, Ragni G, Stefana B. Hexarelin, a novel GHRP-6 analog, stimulates growth hormone (GH) release in a GH-secreting rat cell line (GH1) insensitive to GH-releasing hormone. Rugul Pept. 1997;70(1):49–54.
  78. Tolis G, Karydis I, Markousis V, Karagiorga M, Mesimeris T, Lenaerts V, et al. Growth hormone release by the novel GH releasing peptide Hexarelin in patients with homozygous b-Thalassemia. J Pediatr Endocrinol Metab. 1997;10(1):35–40.
  79. Hataya Y, Akamizu T, Takaya K, Kanamoto N, Ariyasu H, Saijo M, et al. A low dose of ghrelin stimulates growth hormone (gh) release synergistically with gh-releasing hormone in humans. J Clin Endocrinol Metab. 2001;86(9):45524555.
  80. Arvat E, Di Vito L, Broglio F, Papotti M, Muccioli G, Dieguez C, et al. Preliminary evidence that Ghrelin, the natural GH secretagogue (GHS)-receptor ligand, strongly stimulates GH secretion in humans. J Endocrinol Invest. 2000;23(8):493–5.
  81. Ghizzoni L, Mastorakos G, Vottero A, Ziveri M, Ilias I, Bernasconi S. Spontaneous growth hormone (GH) secretion is not directly affected by ghrelin in either short normal prepubertal children or children with GH neurosecretory dysfunction. J Clin Endocrinol Metab. 2004;89(11):5488–95.
  82. Racine MS, Symons K V, Foster CM, Barkan AL. Augmentation of growth hormone secretion after testosterone treatment in boys with constitutional delay of growth and adolescence: Evidence against an increase in hypothalamic secretion of growth hormone-releasing hormone. J Clin Endocrinol Metab. 2004;89(7):3326–31.
  83. Hirsh D, Heinrichs C, Leenders B, Wong ACK, Cummings DE, Chanoine J-P. Ghrelin is suppressed by glucagon and does not mediate glucagon-related growth hormone release. Horm Res. 2005;63(3):111–8.
  84. Zhang J V, Ren P-G, Avsian-Kretchmer O, Luo C-W, Rauch R, Klein C, et al. Obestatin, a peptide encoded by the ghrelin gene, opposes ghrelin’s effects on food intake. Science. 2005;310(5750):996–9.
  85. Ukkola O, Ravussin E, Jacobson P, Snyder EE, Chagnon M, Sjöström L, et al. Mutations in the preproghrelin/ghrelin gene associated with obesity in humans. J Clin Endocrinol Metab. 2001;86(8):3996–9.
  86. Pantel J, Legendre M, Cabrol S, Hilal L, Hajaji Y, Morisset S, et al. Loss of constitutive activity of the growth hormone secretagogue receptor in familial short stature. J Clin Invest. 2006;116:760–8.
  87. Grossman A, Savage MO, Lytras N, Preece MA, Sueiras-Diaz J, Coy DH, et al. Responses to analogues of growth hormone-releasing hormone in normal subjects, and in growth-hormone deficient children and young adults. Clin Endocrinol. 1984;21(3):321–30.
  88. Date Y, Murakami N, Kojima M, Kuroiwa T, Matsukura S, Kangawa K, et al. Central effects of a novel acylated peptide, ghrelin, on growth hormone release in rats. Biochem Biophys Res Commun. 2000;275(2):477–80.
  89. Shen LP, Pictet RL, Rutter WJ. Human somatostatin I: Sequence of the cDNA. Proc Natl Acad Sci USA. 1982;79(15):4575–9.
  90. Rosskopf D, Schurks M, Manthey I, Joisten M, Busch S, Siffert W. Signal transduction of somatostatin in human B lymphoblasts. Am J Physiol Cell Physiol. 2003;284(1):C179-190.
  91. Laron Z. Prismatic cases: Laron syndrome (primary growth hormone resistance) from patient to laboratory to patient. J Clin Endocrinol Metab. 1995;80(5):1526–31.
  92. Dastot F, Sobrier ML, Duquesnoy P, Duriez B, Goossens M, Amselem S. Alternatively spliced forms in the cytoplasmic domain of the human growth hormone (GH) receptor regulate its ability to generate a soluble GH-binding protein. Proc Natl Acad Sci U S A. 1996;93(20):10723–8.
  93. Dos Santos C, Essioux L, Teinturier C, Tauber M, Goffin V, Bougneres P. A common polymorphism of the growth hormone receptor is associated with increased responsiveness to growth hormone. Nat Genet. 2004;36(7):720–4.
  94. Binder G, Baur F, Schweizer R, Ranke MB. The d3-growth hormone (GH) receptor polymorphism is associated with increased responsiveness to GH in Turner syndrome and short small-for-gestational-age children. J Clin Endocrinol Metab. 2006;91(2):659–64.
  95. Jorge AAL, Marchisotti FG, Montenegro LR, Carvalho LR, Mendonca BB, Arnhold IJP. Growth hormone (GH) pharmacogenetics: Influence of GH receptor exon 3 retention or deletion on first-year growth response and final height in patients with severe GH deficiency. J Clin Endocrinol Metab. 2006;91(3):1076–80.
  96. Pilotta A, Mella P, Filisetti M, Felappi B, Prandi E, Parrinello G, et al. Common polymorphisms of the Growth Hormone (GH) Receptor do not correlate with the growth response to exogenous recombinant human GH in GH deficient children. J Clin Endocrinol Metab. 2006;91(3):jc.2005-1308.
  97. Rosenfeld RG, Belgorosky A, Camacho-Hubner C, Savage MO, Wit JM, Hwa V. Defects in growth hormone receptor signaling. Trends Endocrinol Metab. 2007;18(4):134–41.
  98. Savage MO, Hwa V, David A, Rosenfeld RG, Metherell LA. Genetic defects in the growth hormone-IGF-I axis causing growth hormone insensitivity and impaired linear growth. Front Endocrinol (Lausanne). 2011;2:95.
  99. Ayling RM, Ross R, Towner P, von Laue S, Finidori J, Moutoussamy S, et al. A dominant-negative mutation of the growth hormone receptor causes familial short stature. Nat Genet. 1997;16:13–4.
  100. Amselem S, Duquesnoy P, Attree O, Novelli G, Bousnina S, Postel-Vinay MC, et al. Laron dwarfism and mutations of the growth hormone-receptor gene. N Engl J Med. 1989;321(15):989–95.
  101. Woods KA, Fraser NC, Postel-Vinay MC, Savage MO, Clark AJ. A homozygous splice site mutation affecting the intracellular domain of the growth hormone (GH) receptor resulting in Laron syndrome with elevated GH-binding protein. J Clin Endocrinol Metab. 1996;81(5):1686–90.
  102. Woods KA, Dastot F, Preece MA, Clark AJ, Postel-Vinay MC, Chatelain PG, et al. Phenotype: genotype relationships in growth hormone insensitivity syndrome. J Clin Endocrinol Metab. 1997;82(11):3529–35.
  103. Salerno M, Balestrieri B, Matrecano E, Officioso A, Rosenfeld RG, Di Maio S, et al. Abnormal GH receptor signaling in children with idiopathic short stature. J Clin Endocrinol Metab. 2001;86(8):3882–8.
  104. Abuzzahab MJ, Schneider A, Goddard A, Grigorescu F, Lautier C, Keller E, et al. IGF-I receptor mutations resulting in intrauterine and postnatal growth retardation. N Engl J Med. 2003;349(23):2211–22.
  105. Bonioli E, Tarò M, Rosa C La, Citana A, Bertorelli R, Morcaldi G, et al. Heterozygous mutations of growth hormone receptor gene in children with idiopathic short stature. Growth Horm IGF Res. 2005;15(6):405–10.
  106. Rosenbloom AL, Guevara Aguirre J, Rosenfeld RG. The little women of Loja--growth hormone-receptor deficiency in an inbred population of southern Ecuador. N Engl J Med. 1990;323(20):1367–74.
  107. Aalbers AM, Chin D, Pratt KL, Little BM, Frank SJ, Hwa V, et al. Extreme elevation of serum growth hormone-binding protein concentrations resulting from a novel heterozygous splice site mutation of the growth hormone receptor gene. Horm Res Paediatr. 2009;71(5):276–84.
  108. Overgaard MT, Boldt HB, Laursen LS, Sottrup-Jensen L, Conover CA, Oxvig C. Pregnancy-associated plasma protein-A2 (PAPP-A2), a novel insulin-like growth factor-binding protein-5 proteinase. J Biol Chem. 2001;276(24):21849–53.
  109. Jepsen MR, Kløverpris S, Mikkelsen JH, Pedersen JH, Füchtbauer E-M, Laursen LS, et al. Stanniocalcin-2 inhibits mammalian growth by proteolytic inhibition of the insulin-like growth factor axis. J Biol Chem. 2015;290(6):3430–9.
  110. Fujimoto M, Hwa V, Dauber A. Novel modulators of the growth hormone - insulin-like growth factor axis: Pregnancy-associated plasma protein-A2 and stanniocalcin-2. J Clin Res Pediatr Endocrinol. 2017;9(Suppl 2):1–8.
  111. 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(18):1363–7.
  112. Baker J, Liu JP, Robertson EJ, Efstratiadis A. Role of insulin-like growth factors in embryonic and postnatal growth. Cell. 1993;75(1):73–82.
  113. Bonapace G, Concolino D, Formicola S, Strisciuglio P. A novel mutation in a patient with insulin-like growth factor 1 (IGF1) deficiency. J Med Genet. 2003;40(12):913–7.
  114. Walenkamp MJE, Karperien M, Pereira AM, Hilhorst-Hofstee Y, van Doorn J, Chen JW, et al. Homozygous and heterozygous expression of a novel insulin-like growth factor-I mutation. J Clin Endocrinol Metab. 2005;90(5):2855–64.
  115. Liu JP, Baker J, Perkins AS, Robertson EJ, Efstratiadis A. Mice carrying null mutations of the genes encoding insulin-like growth factor I (Igf-1) and type 1 IGF receptor (Igf1r). Cell. 1993;75(1):59–72.
  116. Morison IM, Reeve AE. Insulin-like growth factor 2 and overgrowth: molecular biology and clinical implications. Mol Med Today. 1998;4(3):110–5.
  117. Yakar S, Liu JL, Stannard B, Butler A, Accili D, Sauer B, et al. Normal growth and development in the absence of hepatic insulin-like growth factor I. Proc Natl Acad Sci U S A. 1999;96(13):7324–9.
  118. Sjögren K, Liu JL, Blad K, Skrtic S, Vidal O, Wallenius V, et al. Liver-derived insulin-like growth factor I (IGF-I) is the principal source of IGF-I in blood but is not required for postnatal body growth in mice. Proc Natl Acad Sci U S A. 1999;96(12):7088–92.
  119. Yakar S, Rosen CJ, Beamer WG, Ackert-Bicknell CL, Wu Y, Liu JL, et al. Circulating levels of IGF-1 directly regulate bone growth and density. J Clin Invest. 2002;110(6):771–81.
  120. Domené HM, Bengolea S V, Martínez AS, Ropelato MG, Pennisi P, Scaglia P, et al. Deficiency of the circulating insulin-like growth factor system associated with inactivation of the acid-labile subunit gene. N Engl J Med. 2004;350(6):570–7.
  121. Hwa V, Haeusler G, Pratt KL, Little BM, Frisch H, Koller D, et al. Total absence of functional acid labile subunit, resulting in severe insulin-like growth factor deficiency and moderate growth failure. J Clin Endocrinol Metab. 2006;91(5):1826–31.
  122. Domené HM, Scaglia PA, Lteif A, Mahmud FH, Kirmani S, Frystyk J, et al. Phenotypic effects of null and haploinsufficiency of acid-labile subunit in a family with two novel IGFALS gene mutations. J Clin Endocrinol Metab. 2007;92(11):4444–50.
  123. Domené HM, Hwa V, Jasper HG, Rosenfeld RG. Acid-labile subunit (ALS) deficiency. Best Pract Res Clin Endocrinol Metab. 2011;25(1):101–13.
  124. Savage MO, Camacho-Hübner C, David A, Metherell LA, Hwa V, Rosenfeld RG, et al. Idiopathic short stature: will genetics influence the choice between GH and IGF-I therapy? Eur J Endocrinol. 2007;157 Suppl:S33-37.
  125. Chan JM, Stampfer MJ, Giovannucci E, Gann PH, Ma J, Wilkinson P, et al. Plasma insulin-like growth factor-I and prostate cancer risk: A prospective study. Science. 1998;279(5350):563–6.
  126. Pollak M. Insulin-like growth factor physiology and cancer risk. Eur J Cancer. 2000;36(10):1224–8.
  127. Jernstrom H, Chu W, Vesprini D, Tao Y, Majeed N, Deal C, et al. Genetic factors related to racial variation in plasma levels of insulin-like growth factor-1: Implications for premenopausal breast cancer risk. Mol Genet Metab. 2001;72(2):144–54.
  128. Cohen P, Clemmons DR, Rosenfeld RG. Does the GH-IGF axis play a role in cancer pathogenesis? Growth Horm IGF Res. 2000;10(6):297–305.
  129. Cohen P. Overview of the IGF-I system. Horm Res. 2006;65(Suppl 1):3–8.
  130. Ranke MB. Defining insulin-like growth factor-I deficiency. Horm Res. 2006;65(Suppl 1):9–14.
  131. Savage MO, Camacho-Hübner C, Dunger DB. Therapeutic applications of the insulin-like growth factors. Growth Horm IGF Res. 2004;14(4):301–8.
  132. Laron Z, Anin S, Klipper-Aurbach Y, Klinger B. Effects of insulin-like growth factor on linear growth, head circumference, and body fat in patients with Laron-type dwarfism. Lancet. 1992;339(8804):1258–61.
  133. Ranke MB, Savage MO, Chatelain PG, Preece MA, Rosenfeld RG, Blum WF, et al. Insulin-like growth factor I improves height in growth hormone insensitivity: two years’ results. Horm Res. 1995;44(6):253–64.
  134. Ranke MB, Savage MO, Chatelain PG, Preece MA, Rosenfeld RG, Wilton P. Long-term treatment of growth hormone insensitivity syndrome with IGF-I. Results of the European Multicentre Study. The Working Group on Growth Hormone Insensitivity Syndromes. Horm Res. 1999;51(3):128–34.
  135. Collett-Solberg PF, Misra M, Drug and Therapeutics Committee of the Lawson Wilkins Pediatric Endocrine Society. The role of recombinant human insulin-like growth factor-I in treating children with short stature. J Clin Endocrinol Metab. 2008;93(1):10–8.
  136. Laron Z. Insulin-like growth factor-I (lGF-l): safety and efficacy. Pediatr Endocrinol Rev. 2004;2(Suppl 1):78–85.
  137. Backeljauw PF, Underwood LE, GHIS Collaborative Group. Therapy for 6.5-7.5 years with recombinant insulin-like growth factor I in children with growth hormone insensitivity syndrome: A clinical research center study. J Clin Endocrinol Metab. 2001;86(4):1504–10.
  138. Roback EW, Barakat AJ, Dev VG, Mbikay M, Chretien M, Butler MG. An infant with deletion of the distal long arm of chromosome 15 (q26.1----qter) and loss of insulin-like growth factor 1 receptor gene. Am J Med Genet. 1991;38(1):74–9.
  139. Fang P, Schwartz ID, Johnson BD, Derr MA, Roberts CT, Hwa V, et al. Familial short stature caused by haploinsufficiency of the insulin-like growth factor i receptor due to nonsense-mediated messenger ribonucleic acid decay. J Clin Endocrinol Metab. 2009;94(5):1740–7.
  140. Fujimoto M, Andrew M, Dauber A. Disorders caused by genetic defects associated with GH-dependent genes: PAPPA2 defects. Mol Cell Endocrinol. 2020 Dec;518:110967.
  141. Dauber A, Muñoz-Calvo MT, Barrios V, Domené HM, Kloverpris S, Serra-Juhé C, et al. Mutations in pregnancy-associated plasma protein A2 cause short stature due to low IGF-I availability. EMBO Mol Med. 2016 Apr;8(4):363–74.
  142. Babiker A, Al Noaim K, Al Swaid A, Alfadhel M, Deeb A, Martín-Rivada Á, et al. Short stature with low insulin-like growth factor 1 availability due to pregnancy-associated plasma protein A2 deficiency in a Saudi family. Clin Genet. 2021 Nov;100(5):601–6.
  143. Barrios V, Chowen JA, Martín-Rivada Á, Guerra-Cantera S, Pozo J, Yakar S, et al. Pregnancy-associated plasma protein (PAPP)-A2 in physiology and disease. Cells. 2021;10(12):3576.
  144. Muñoz-Calvo MT, Barrios V, Pozo J, Chowen JA, Martos-Moreno GÁ, Hawkins F, et al. Treatment With recombinant human insulin-like growth factor-1 improves growth inpatients with PAPP-A2 deficiency. J Clin Endocrinol Metab. 2016;101(11):3879–83.
  145. Martín-Rivada Á, Barrios V, Martínez Díaz-Guerra G, Pozo J, Martos-Moreno GÁ, Argente J. Adult height and long-term outcomes after rhIGF-1 therapy in two patients withPAPP-A2 deficiency. Growth Horm IGF Res. 2021;60–61:101419.
  146. Muthuvel G, Dauber A, Alexandrou E, Tyzinski L, Andrew M, Hwa V, et al. Five-year therapy with recombinant human insulin-like growth factor-1 in a patient with PAPP-A2 deficiency. Horm Res Paediatr. 2023;96(5):449–57.
  147. Cabrera-Salcedo C, Mizuno T, Tyzinski L, Andrew M, Vinks AA, Frystyk J, et al. Pharmacokinetics of IGF-1 in PAPP-A2-deficient patients, growth response, and effects on glucose and bone density. J Clin Endocrinol Metab. 2017;102(12):4568–77.
  148. Hawkins-Carranza FG, Muñoz-Calvo MT, Martos-Moreno GÁ, Allo-Miguel G, Del Río L, Pozo J, et al. rhIGF-1 treatment increases bone mineral density and trabecular bone structure in children with PAPP-A2 deficiency. Horm Res Paediatr. 2018;89(3):200–4.
  149. Andrew M, Liao L, Fujimoto M, Khoury J, Hwa V, Dauber A. PAPPA2 as a therapeutic modulator of IGF-I bioavailability: in vivo and in vitro evidence. J Endocr Soc. 2018;2(7):646–56.
  150. Fitzpatrick GV, Soloway PD, Higgins MJ. Regional loss of imprinting and growth deficiency in mice with a targeted deletion of KvDMR1. Nat Genet. 2002;32(3):426–31.
  151. Eggenschwiler J, Ludwig T, Fisher P, Leighton PA, Tilghman SM, Efstratiadis A. Mouse mutant embryos overexpressing IGF-II exhibit phenotypic features of the Beckwith-Wiedemann and Simpson-Golabi-Behmel syndromes. Genes Dev. 1997;11(23):3128–42.
  152. McElreavey K, Fellous M. Sex-determining genes. Trends Endocrinol Metab. 1997;8(9):342–5.
  153. Fisher AM, Thomas NS, Cockwell A, Stecko O, Kerr B, Temple IK, et al. Duplications of chromosome 11p15 of maternal origin result in a phenotype that includes growth retardation. Hum Genet. 2002;111(3):290–6.
  154. Gicquel C, Rossignol S, Cabrol S, Houang M, Steunou V, Barbu V, et al. Epimutation of the telomeric imprinting center region on chromosome 11p15 in Silver-Russell syndrome. Nat Genet. 2005;37(9):1003–7.
  155. Schönherr N, Meyer E, Eggermann K, Ranke MB, Wollmann HA, Eggermann T. (Epi)mutations in 11p15 significantly contribute to Silver-Russell syndrome: but are they generally involved in growth retardation? Eur J Med Genet. 2006;49(5):414–8.
  156. Hannula K, Lipsanen-Nyman M, Kontiokari T, Kere J. A narrow segment of maternal uniparental disomy of chromosome 7q31-qter in Silver-Russell syndrome delimits a candidate gene region. Am J Hum Genet. 2001;68(1):247–53.
  157. Murphy R, Baptista J, Holly J, Umpleby AM, Ellard S, Harries LW, et al. Severe intrauterine growth retardation and atypical diabetes associated with a translocation breakpoint disrupting regulation of the insulin-like growth factor 2 gene. J Clin Endocrinol Metab. 2008;93(11):4373–80.
  158. Valhmu WB, Palmer GD, Rivers PA, Ebara S, Cheng JF, Fischer S, et al. Structure of the human aggrecan gene: Exon-intron organization and association with the protein domains. Biochem J. 1995;309(2):535–42.
  159. Kiani C, Chen L, Wu YJ, Yee AJ, Yang BB. Structure and function of aggrecan. Cell Res. 2002;12:19.
  160. Kawaguchi Y, Osada R, Kanamori M, Ishihara H, Ohmori K, Matsui H, et al. Association between an aggrecan gene polymorphism and lumbar disc degeneration. Spine. 1999;24:2456–60.
  161. Gleghorn L, Ramesar R, Beighton P, Wallis G. A mutation in the variable repeat region of the aggrecan gene (AGC1) causes a form of spondyloepiphyseal dysplasia associated with severe, premature osteoarthritis. Am J Hum Genet. 2005;77:484–90.
  162. Tompson SW, Merriman B, Funari VA, Fresquet M, Lachman RS, Rimoin DL, et al. A recessive skeletal dysplasia, SEMD aggrecan type, results from a missense mutation affecting the C-type lectin domain of aggrecan. Am J Hum Genet. 2009;84:72–9.
  163. Stattin E-L, Wiklund F, Lindblom K, Önnerfjord P, Jonsson B-A, Tegner Y, et al. A missense mutation in the aggrecan c-type lectin domain disrupts extracellular matrix interactions and causes dominant familial osteochondritis dissecans. Am J Hum Genet. 2010;86(2):126–37.
  164. Nilsson O, Guo MH, Dunbar N, Popovic J, Flynn D, Jacobsen C, et al. Short stature, accelerated bone maturation, and early growth cessation due to heterozygous aggrecan mutations. J Clin Endocrinol Metab. 2014;99(8):E1510–8.
  165. Quintos JB, Guo. MH, Dauber A. Idiopathic short stature due to novel heterozygous mutation of the aggrecan gene. J Pediatr Endocrinol Metab. 2015;28(7-8):927–32.
  166. Gkourogianni A, Andrew M, Tyzinski L, Crocker M, Douglas J, Dunbar N, et al. Clinical characterization of patients with autosomal dominant short stature due to aggrecan mutations. J Clin Endocrinol Metab. 2017;102(2):460–9.
  167. van der Steen M, Pfundt R, Maas SJWH, Bakker-van Waarde WM, Odink RJ, Hokken-Koelega ACS. ACAN gene mutations in short children born SGA and response to growth hormone treatment. J Clin Endo Metab. 2017;102:1458–67.
  168. Dateki S, Nakatomi A, Watanabe S, Shimizu H, Inoue Y, Baba H, et al. Identification of a novel heterozygous mutation of the aggrecan gene in a family with idiopathic short stature and multiple intervertebral disc herniation. J Hum Genet. 2017;62:717–21.
  169. Rao E, Weiss B, Fukami M, Rump A, Niesler B, Mertz A, et al. Pseudoautosomal deletions encompassing a novel homeobox gene causes growth failure in idiopathic short stature and Turner syndrome. Nat Genet. 1997;16:54–62.
  170. Huber C, Rosilio M, Munnich A, Cormier-Daire V. High incidence of SHOX anomalies in individuals with short stature. J Med Genet. 2006;43(9):735–9.
  171. Jorge AAL, Nishi MY, Funari MFA, Souza SC, Arnhold IJP, Mendonça BB. [Short stature caused by SHOX gene haploinsufficiency: from diagnosis to treatment]. Arq Bras Endocrinol Metabol. 2008;52(5):765–73.
  172. Binder G. Short stature due to SHOX deficiency: genotype, phenotype, and therapy. Horm Res Paediatr. 2011;75(2):81–9.
  173. Marchini A, Rappold G, Schneider KU. SHOX at a glance: From gene to protein. Arch Physiol Biochem. 2007;113(3):116–23.
  174. Munns CJF, Haase HR, Crowther LM, Hayes MT, Blaschke R, Rappold G, et al. Expression of SHOX in human fetal and childhood growth plate. J Clin Endocrinol Metab. 2004;89(8):4130–5.
  175. Rappold G, Blum WF, Shavrikova EP, Crowe BJ, Roeth R, Quigley CA, et al. Genotypes and phenotypes in children with short stature: Clinical indicators of SHOX haploinsufficiency. J Med Genet. 2007;44(5):306–13.
  176. Blum WF, Crowe BJ, Quigley CA, Jung H, Cao D, Ross JL, et al. Growth hormone is effective in treatment of short stature associated with short stature homeobox-containing gene deficiency: Two-year results of a randomized, controlled, multicenter trial. J Clin Endocrinol Metab. 2007;92(1):219–28.
  177. Shaw AC, Kalidas K, Crosby AH, Jeffery S, Patton MA. The natural history of Noonan syndrome: A long-term follow-up study. Arch Dis Child. 2007;92(2):128–32.
  178. Allanson JE. Noonan syndrome. J Med Genet. 1987;24(1):9–13.
  179. Allanson JE, Hall JG, Hughes HE, Preus M, Witt RD. Noonan syndrome: The changing phenotype. Am J Med Genet. 1985;21(3):507–14.
  180. Tartaglia M, Mehler EL, Goldberg R, Zampino G, Brunner HG, Kremer H, et al. Mutations in PTPN11, encoding the protein tyrosine phosphatase SHP-2, cause Noonan syndrome. Nat Genet. 2001;29(4):465–8.
  181. Gelb BD, Tartaglia M. Noonan syndrome and related disorders: dysregulated RAS-mitogen activated protein kinase signal transduction. Hum Mol Genet. 2006;15 Spec No:R220-226.
  182. Ferreira LV, Souza SAL, Arnhold IJP, Mendonca BB, Jorge AAL. PTPN11 (protein tyrosine phosphatase, nonreceptor type 11) mutations and response to growth hormone therapy in children with Noonan syndrome. J Clin Endocrinol Metab. 2005;90(9):5156–60.
  183. Limal J-M, Parfait B, Cabrol S, Bonnet D, Leheup B, Lyonnet S, et al. Noonan syndrome: relationships between genotype, growth, and growth factors. J Clin Endocrinol Metab. 2006;91(1):300–6.
  184. Raaijmakers R, Noordam C, Karagiannis G, Gregory JW, Hertel NT, Sipilä I, et al. Response to growth hormone treatment and final height in Noonan syndrome in a large cohort of patients in the KIGS database. J Pediatr Endocrinol Metab. 2008;21(3):267–73.
  185. Noordam C, Peer PGM, Francois I, De Schepper J, van den Burgt I, Otten BJ. Long-term GH treatment improves adult height in children with Noonan syndrome with and without mutations in protein tyrosine phosphatase, non-receptor-type 11. Eur J Endocrinol. 2008;159(3):203–8.
  186. Growth Hormone Research Society. Consensus guidelines for the diagnosis and treatment of growth hormone (GH) deficiency in childhood and adolescence: summary statement of the GH Research Society. GH Research Society. J Clin Endocrinol Metab. 2000;85(11):3990–3.
  187. Kuczmarski RJ, Ogden C, Grummer-Strawn LM, Guo SS, Wei R, Mei Z, et al. CDC growth charts: United States. Hyattsville: U.S. Department of Health and Human Services. Centers for Disease Control and Prevention. National Center for Health Statistics; 2000.
  188. Sizonenko PC, Clayton PE, Cohen P, Hintz RL, Tanaka T, Laron Z. Diagnosis and management of growth hormone deficiency in childhood and adolescence. Part 1: Diagnosis of growth hormone deficiency. Growth Horm IGF Res. 2001;11(3):137–65.
  189. Gruelich WW, Pyle SI. Radiographic atlas of skeletal development of the hand and wrist. Stanford University Press; 1959.
  190. Tanner JM. Assessment of skeletal maturity and prediction of adult height (TW2 method). Tanner JM, editor. London ; New York: Academic Press ; 1983.
  191. Bayley N. Tables for predicting adult height from present height and skeletal age. J Pediat. 1946;28:49.
  192. Rosenfield R, Cutler L, Jameson JL, DeGroot L, Burger H. Somatic growth and maturation. In: Endocrinology. Philadelphia: W.B. Saunders Co.; 2001. p. 477-502.
  193. Underwood LE, Van Wyk JJ. Normal and aberrant growth. In: Williams Textbook Of Endocrinology. Philadelphia: W.B. Saunders Co.; 2003. p. 1079–138.
  194. Bayley N, Pinneau SR. Tables for predicting adult height from skeletal age: Revised for use with the Greulich-Pyle hand standards. J Pediatr. 1952;40(4):423–41.
  195. Roche AF, Wainer H, Thissen D. The RWT method for the prediction of adult stature. Pediatrics. 1975;56(6):1026–33.
  196. Zachmann M, Sobradillo B, Frank M, Frisch H, Prader A. Bayley-Pinneau, Roche-Wainer-Thissen, and Tanner height predictions in normal children and in patients with various pathologic conditions. J Pediatr. 1978;93(5):749–55.
  197. Marin G, Domené HM, Barnes KM, Blackwell BJ, Cassorla FG, Cutler GB. The effects of estrogen priming and puberty on the growth hormone response to standardized treadmill exercise and arginine-insulin in normal girls and boys. J Clin Endocrinol Metab. 1994;79(2):537–41.
  198. Molina S, Paoli M, Camacho N, Arata-Bellabarba G, Lanes R. Is testosterone and estrogen priming prior to clonidine useful in the evaluation of the growth hormone status of short peripubertal children? J Pediatr Endocrinol Metab. 2008;21(3):257–66.
  199. Agrawal V, Garcia JM. The macimorelin-stimulated growth hormone test for adult growth hormone deficiency diagnosis. Expert Rev Mol Diagn. 2014;14(6):647–54.
  200. Csákváry V, Muzsnai A, Raduk D, Chaychenko T, Damholt BB, Kelepouris N, et al. Pharmacokinetics and pharmacodynamics of macimorelin acetate (AEZS-130) in paediatric patients with suspected growth hormone deficiency (GHD). J Endocr Soc. 2021;5(Suppl 1):A682–A682.
  201. Roh S-G, Lee H-G, Phung LT, Hidari H. Characterization of growth hormone secretion to growth hormone-releasing peptide-2 in domestic animals - a review. Asian-Australasian J Anim Sci. 2002;15(5):757–66.
  202. Onuki T, Hiroaki T, Sawano K, Shibata N, Nyuzuki H, Ogawa Y, et al. Robust growth hormone responses to GH-releasing peptide 2 in adolescents. J Pediatr Endocrinol Metab. 2024;37(8):730–3.
  203. Chihara K, Shimatsu A, Hizuka N, Tanaka T, Seino Y, Katofor Y. A simple diagnostic test using GH-releasing peptide-2 in adult GH deficiency. Eur J Endocrinol. 2007;157(1):19–27.
  204. Suzuki S, Ruike Y, Ishiwata K, Naito K, Igarashi K, Ishida A, et al. LBODP006 clinical usefulness of the growth hormone-releasing peptide-2 test for hypothalamic-pituitary disorder. J Endocr Soc. 2022;6(Suppl 1):A39–40.
  205. Cohen P, Rogol AD, Howard CP, Bright GM, Kappelgaard A-M, Rosenfeld RG, et al. Insulin growth factor-based dosing of growth hormone therapy in children: A randomized, controlled study. J Clin Endocrinol Metab. 2007;92(7):2480–6.
  206. Baron J. Growth hormone therapy in childhood: Titration versus weight-based dosing? J Clin Endocrinol Metab. 2007;92(7):2436–8.
  207. Pasquino AM, Pucarelli I, Roggini M, Segni M. Adult height in short normal girls treated with gonadotropin-releasing hormone analogs and growth hormone. J Clin Endocrinol Metab. 2000;85(2):619–22.
  208. Reiter EO. A brief review of the addition of gonadotropin-releasing hormone agonists(GnRH-Ag) to growth hormone (GH) treatment of children with idiopathic growth hormone deficiency: Previously published studies from America. Mol Cell Endocrinol. 2006;254–255:221–5.
  209. Li S, Wang X, Zhao Y, Ji W, Mao J, Nie M, et al. Combined therapy with GnRH analogue and growth hormone increases adult height inchildren with short stature and normal pubertal onset. Endocrine. 2020;69(3):615–24.
  210. Faglia G, Arosio M, Porretti S. Delayed closure of epiphyseal cartilages induced by the aromatase inhibitor anastrozole. Would it help short children grow up? J Endocrinol Invest. 2000;23(11):721–3.
  211. Dunkel L, Wickman S. Novel treatment of delayed male puberty with aromatase inhibitors. Horm Res. 2002;57(Suppl 2):44–52.
  212. Zung A, Zadik Z. New approaches in the treatment of short stature. Harefuah. 2002;141(12):1059–65.
  213. Hero M, Norjavaara E, Dunkel L. Inhibition of estrogen biosynthesis with a potent aromatase inhibitor increases predicted adult height in boys with idiopathic short stature: A randomized controlled trial. J Clin Endocrinol Metab. 2005;90(12):6396–402.
  214. Wassenaar MJ, Dekkers OM, Pereira AM, Wit JM, Smit JW, Biermasz NR, et al. Impact of the exon 3-deleted growth hormone (GH) receptor polymorphism on baseline height and the growth response to recombinant human GH therapy in GH-deficient (GHD) and non-GHD children with short stature: A systematic review and meta-analysis. J Clin Endocrinol Metab. 2009;94(10):3721–30.
  215. Tauber M, Ester W, Auriol F, Molinas C, Fauvel J, Caliebe J, et al. GH responsiveness in a large multinational cohort of SGA children with short stature (NESTEGG) is related to the exon 3 GHR polymorphism. Clin Endocrinol. 2007;67(3):457–61.
  216. Braz AF, Costalonga EF, Montenegro LR, Trarbach EB, Antonini SR, Malaquias AC, et al. The interactive effect of GHR-exon 3 and -202 A/C IGFBP3 polymorphisms on rhGH responsiveness and treatment outcomes in patients with Turner syndrome. J Clin Endocrinol Metab. 2012;97(4):E671-7.
  217. Blum WF, Machinis K, Shavrikova EP, Keller A, Stobbe H, Pfaeffle RW, et al. The growth response to growth hormone (GH) treatment in children with isolated GH deficiency is independent of the presence of the exon 3-minus isoform of the GH receptor. J Clin Endocrinol Metab. 2006;91(10):4171–4.
  218. Carrascosa A, Esteban C, Espadero R, Fernández-Cancio M, Andaluz P, Clemente M, et al. The d3/fl-growth hormone (GH) receptor polymorphism does not influence the effect of GH treatment (66 microg/kg per day) or the spontaneous growth in short non-GH-deficient small-for-gestational-age children: Results from a two-year controlled prospective. J Clin Endocrinol Metab. 2006;91(9):3281–6.
  219. Galetaki DM, Merchant N, Dauber A. Novel therapies for growth disorders. Eur J Pediatr. 2024;183(3):1121–8.
  220. Choi HS, Kwon A, Suh J, Song K, Chae HW, Kim H-S. Effect of long-acting growth hormone treatment on endogenous growth hormone secretion in prepubertal patients with idiopathic short stature: A preliminary study. Growth Horm IGF Res. 2022;66:101486.
  221. Matustik MC, Furlanetto RW, Meyer WJ 3rd. Chronobiologic considerations in human growth hormone therapy. J Pediatr. 1983;103(4):543–6.
  222. Lal RA, Hoffman AR. Perspectives on long-acting growth hormone therapy in children and adults. Arch Endocrinol Metab. 2019;63(6):601–7.
  223. Grillo MS, Frank J, Saenger P. Long acting growth hormone (LAGH), an update. Front Pediatr. 2023;11:1254231.
  224. Höybye C, Pfeiffer AFH, Ferone D, Christiansen JS, Gilfoyle D, Christoffersen ED, et al. A phase 2 trial of long-acting TransCon growth hormone in adult GH deficiency. Endocr Connect. 2017;6(3):129–38.
  225. Thornton P, Hofman P, Maniatis A, Aghajanova E, Chertok E, Korpal-Szczyrska M, et al. OR17-4 Transcon growth hormone in the treatment of pediatric growth hormone deficiency: Results of the phase 3 height trial. J Endocr Soc. 2019;3(Suppl 1).
  226. Lamb YN. Lonapegsomatropin: Pediatric first approval. Paediatr Drugs. 2022 Jan;24(1):83–90.
  227. Miller BS, Yuen KCJ. Spotlight on lonapegsomatropin once-weekly injection and its potential in the treatment of growth hormone deficiency in pediatric patients. Drug Des Devel Ther. 2022;16:2055–66.
  228. Chatelain P, Malievskiy O, Radziuk K, Senatorova G, Abdou MO, Vlachopapadopoulou E, et al. A randomized phase 2 study of long-acting TransCon GH vs daily GH in childhood GH deficiency. J Clin Endocrinol Metab. 2017;102(5):1673–82.
  229. Campbell DL, Walsh KJ, Herz C, Karpf DB, Beckert M, Leff JA, et al. 016–TransCon GH as a long-acting growth hormone for the treatment of pediatric growth hormone deficiency. J Pediatr Nurs. 2019;46:133.
  230. Thornton PS, Maniatis AK, Aghajanova E, Chertok E, Vlachopapadopoulou E, Lin Z, et al. Weekly lonapegsomatropin in treatment-naïve children with growth hormonedeficiency: The Phase 3 heiGHt Trial. J Clin Endocrinol Metab. 2021;106(11):3184–95.
  231. Stochholm K, Kiess W. Long-term safety of growth hormone-A combined registry analysis. Clin Endocrinol (Oxf). 2018;88(4):515–28.
  232. Alkhatib EH, Dauber A, Estrada DE, Majidi S. Weekly growth hormone (lonapegsomatropin) causes severe transient hyperglycemia in a child with obesity. Vol. 96, Hormone Research in Paediatrics. Switzerland; 2023. p. 542–6.
  233. Maniatis AK, Carakushansky M, Galcheva S, Prakasam G, Fox LA, Dankovcikova A, et al. Treatment burden of weekly somatrogon vs daily somatropin in children with growth hormone deficiency: A randomized study. J Endocr Soc. 2022;6(10):bvac117.
  234. Maniatis AK, Casella SJ, Nadgir UM, Hofman PL, Saenger P, Chertock ED, et al. Safety and efficacy of lonapegsomatropin in children with growth hormone deficiency: enliGHten Trial 2-year results. J Clin Endocrinol Metab. 2022;107(7):e2680-e2689.
  235. Miller BS, Blair J, Horikawa R, Linglart A, Yuen KCJ. Developments in the management of growth hormone deficiency: Clinical utility of somapacitan. Drug Des Devel Ther. 2024;18:291–306.
  236. Helleberg H, Bjelke M, Damholt BB, Pedersen PJ, Rasmussen MH. Absorption, metabolism and excretion of once-weekly somapacitan, a long-acting growth hormone derivative, after single subcutaneous dosing in human subjects. Eur J Pharm Sci. 2021;167:106030.
  237. Ramírez-Andersen HS, Behrens C, Buchardt J, Fels JJ, Folkesson CG, Jianhe C, et al. Long-acting human growth hormone analogue by noncovalent albumin binding. Bioconjug Chem. 2018;29(9):3129–43.
  238. Savendahl LS, Rasmussen MH. SAT-LB12 Once-weekly somapacitan vs daily growth hormone in growth hormone deficiency: 2-year safety results from REAL 3, a randomized phase 2 trial. J Endocr Soc. 2020 8;4(Suppl 1).
  239. Savendahl L, Højby Rasmussen M, Horikawa R, Khadilkar V, Battelino T, Saenger P. SUN-247 Once-weekly somapacitan in childhood growth hormone deficiency: Efficacy and safety results of a randomized, open-label, controlled phase 2 trial (REAL 3). J Endocr Soc. 2019;3(Suppl 1).
  240. Sävendahl LS, Battelino T, Rasmussen MH, Horikawa R, Saenger P. Once-weekly somapacitan versus daily growth hormone in growth hormone deficiency: 2-year efficacy results from REAL 3, a Randomized Phase 2 Trial. J Endocr Soc. 2021;5(Suppl 1):A680–A680.
  241. Sävendahl L, Battelino T, Højby Rasmussen M, Brod M, Röhrich S, Saenger P, et al. Weekly somapacitan in GH deficiency: 4-year efficacy, safety, andtreatment/disease burden results from REAL 3. J Clin Endocrinol Metab. 2023;108(10):2569–78.
  242. Yuen KCJ. Utilizing somapacitan, a long-acting growth hormone formulation, for thetreatment of adult growth hormone deficiency: A guide for clinicians. Endocr Pract. 2024;30(10):1003–10.
  243. Takahashi Y, Biller BMK, Fukuoka H, Ho KKY, Rasmussen MH, Nedjatian N, et al. Weekly somapacitan had no adverse effects on glucose metabolism in adults withgrowth hormone deficiency. Pituitary. 2023;26(1):57–72.
  244. Fujio S, Makino R, Sugata J, Hanada T, Hanaya R. 6731 Initial therapeutic effects of weekly growth hormone replacement therapy: Somapacitan. J Endocr Soc. 2024;8(Suppl 1).
  245. Hershkovitz O, Bar-Ilan A, Guy R, Felikman Y, Moschcovich L, Hwa V, et al. In vitro and in vivo characterization of MOD-4023, a long-acting carboxy-terminal peptide (CTP)-modified human growth hormone. Mol Pharm. 2016;13(2):631–9.
  246. Velazquez EP, Miller BS, Yuen KCJ. Somatrogon injection for the treatment of pediatric growth hormone deficiency with comparison to other LAGH products. Expert Rev Endocrinol Metab. 2024;19(1):1–10.
  247. Valluri S, Pastrak A, Wajnrajch M, Silverman L, Cara J, Deal C. Somatrogon growth hormone in the treatment of pediatric growth hormone deficiency: Results of the Pivotal Pediatric Phase 3 Clinical Trial. 2022;
  248. Cara J, Carlsson M, Rosenfeld RG, Wajnrajch MP, Wang R, Zadik Z. RF26 | PSAT150 Growth outcomes from the Phase 2 and Phase 3 studies of once weekly somatrogon vs daily genotropin in pediatric patients with growth hormone deficiency: Comparisons with published literature and an international growth study database. J Endocr Soc. 2022;6(Suppl 1):A647–A647.
  249. Zadik Z, Zelinska N, Iotova V, Skorodok Y, Malievsky O, Mauras N, et al. An open-label extension of a phase 2 dose-finding study of once-weekly somatrogon vs. once-daily Genotropin in children with short stature due to growth hormone deficiency: Results following 5 years of treatment. J Pediatr Endocrinol Metab. 2023;36(3):261–9.
  250. Boguszewski MC da S, Boguszewski CL. Update on the use of long-acting growth hormone in children. Curr Opin Pediatr. 2024;36(4):437–41.
  251. Höybye C. Comparing treatment with daily and long-acting growth hormone formulations in adults with growth hormone deficiency: Challenging issues, benefits, and risks. Best Pract Res Clin Endocrinol Metab. 2023;37(6):101788.
  252. Maniatis A, Cutfield W, Dattani M, Deal C, Collett-Solberg PF, Horikawa R, et al. Long-acting growth hormone therapy in pediatric growth hormone deficiency: A consensus statement. J Clin Endocrinol Metab. 2024;1-9.
  253. Blethen SL, Allen DB, Graves D, August G, Moshang T, Rosenfeld R. Safety of recombinant deoxyribonucleic acid-derived growth hormone: The National Cooperative Growth Study Experience. J Clin Endocrinol Metab. 1996;81(5):1704–10.
  254. Tuffli GA, Johanson A, Rundle AC, Allen DB. Lack of increased risk for extracranial, nonleukemic neoplasms in recipients of recombinant deoxyribonucleic acid growth hormone. J Clin Endocrinol Metab. 1995;80(4):1416–22.
  255. Cowell CT, Dietsch S. Adverse events during growth hormone therapy. J Pediatr Endocrinol Metab. 1995;8:243–52.
  256. Clayton PE, Cowell CT. Safety issues in children and adolescents during growth hormone therapy-a review. Growth Horm & IGF Res. 2000;10:306–10.
  257. Bell J, Parker KL, Swinford RD, Hoffman AR, Maneatis T, Lippe B. Long-term safety of recombinant human growth hormone in children. J Clin Endocrinol Metab. 2010;95(1):167–77.
  258. Craig ME, Cowell CT, Larsson P, Zipf WB, Reiter EO, Albertsson Wikland K, et al. Growth hormone treatment and adverse events in Prader-Willi syndrome: Data from KIGS (the Pfizer International Growth Database). Clin Endocrinol (Oxf). 2006;65(2):178–85.
  259. Tauber M, Diene G, Molinas C, Hébert M. Review of 64 cases of death in children with Prader-Willi syndrome (PWS). Am J Med Genet A. 2008;146A(7):881–7.
  260. Eiholzer U. Deaths in children with Prader-Willi syndrome. A contribution to the debate aboutthe safety of growth hormone treatment in children with PWS. Horm Res. 2005;63(1):33–9.
  261. Gerard JM, Garibaldi L, Myers SE, Aceto TJ, Kotagal S, Gibbons VP, et al. Sleep apnea in patients receiving growth hormone. Clin Pediatr. 1997;36(6):321–6.
  262. Lindgren AC, Hellström LG, Ritzén EM, Milerad J. Growth hormone treatment increases CO(2) response, ventilation and centralinspiratory drive in children with Prader-Willi syndrome. Eur J Pediatr. 1999;158(11):936–40.
  263. Miller J, Silverstein J, Shuster J, Driscoll DJ, Wagner M. Short-term effects of growth hormone on sleep abnormalities in Prader-Willi syndrome. J Clin Endocrinol Metab. 2006;91(2):413–7.
  264. Bolar K, Hoffman AR, Maneatis T, Lippe B. Long-term safety of recombinant human growth hormone in Turner syndrome. J Clin Endocrinol Metab. 2008;93(2):344–51.
  265. Schoemaker MJ, Swerdlow AJ, Higgins CD, Wright AF, Jacobs PA, UK Clinical Cytogenetics Group. Cancer incidence in women with Turner syndrome in Great Britain: A national cohort study. Lancet Oncol. 2008;9(3):239–46.
  266. Carel J-C, Ecosse E, Landier F, Meguellati-Hakkas D, Kaguelidou F, Rey G, et al. Long-term mortality after recombinant growth hormone treatment for isolated growth hormone deficiency or childhood short stature: Preliminary report of the French SAGhE study. J Clin Endocrinol Metab. 2012;97(2):416–25.
  267. Sävendahl L, Maes M, Albertsson-Wikland K, Borgström B, Carel JC, Henrard S, et al. Long-term mortality and causes of death in isolated GHD, ISS, and SGA patients treated with recombinant growth hormone during childhood in Belgium, The Netherlands, and Sweden: Preliminary report of 3 countries participating in the EU SAGhE study. J Clin Endo Metab. 2012;97(2):213–7.
  268. Maneatis T, Baptista J, Connelly K, Blethen S. Growth hormone safety update from the National Cooperative Growth Study. J Pediatr Endocrinol Metab. 2000;13(Suppl 2):1035–44.
  269. Ergun-Longmire B, Mertens AC, Mitby P, Qin J, Heller G, Shi W, et al. Growth hormone treatment and risk of second neoplasms in the childhood cancer survivor. J Clin Endocrinol Metab. 2006;91(9):3494–8.
  270. Sklar CA, Mertens AC, Mitby P, Occhiogrosso G, Qin J, Heller G, et al. Risk of disease recurrence and second neoplasms in survivors of childhood cancer treated with growth hormone: A report from the Childhood Cancer Survivor Study. J Clin Endocrinol Metab. 2002;87(7):3136–41.
  271. Patterson BC, Chen Y, Sklar CA, Neglia J, Yasui Y, Mertens A, et al. Growth hormone exposure as a risk factor for the development of subsequent neoplasms of the central nervous system: A report from the Childhood Cancer Survivor Study. J Clin Endocrinol Metab. 2014;99(6):2030–7.
  272. Sklar CA, Antal Z, Chemaitilly W, Cohen LE, Follin C, Meacham LR, et al. Hypothalamic–pituitary and growth disorders in survivors of childhood cancer: An Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab. 2018;103(8):2761-84.
  273. Child CJ, Zimmermann AG, Jia N, Robison LL, Brämswig JH, Blum WF. Assessment of primary cancer incidence in growth hormone-treated children: Comparison of a multinational prospective observational study with population databases. Horm Res Paediatr. 2016;85(3):198–206.
  274. Raman S, Grimberg A, Waguespack SG, Miller BS, Sklar CA, Meacham LR, et al. Risk of neoplasia in pediatric patients receiving growth hormone therapy--a report from the Pediatric Endocrine Society Drug and Therapeutics Committee. J Clin Endocrinol Metab. 2015;100(6):2192–203.
  275. Clayton PE, Cuneo RC, Juul A, Monson JP, Shalet SM, Tauber M. Consensus statement on the management of the GH-treated adolescent in the transition to adult care. Eur J Endocrinol. 2005;152(2):165–70.
  276. Molitch ME, Clemmons DR, Malozowski S, Merriam GR, Vance ML. Evaluation and treatment of adult growth hormone deficiency: An Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab. 2011;96(6):1587–609.
  277. Tauber M, Moulin P, Pienkowski C, Jouret B, Rochiccioli P. Growth hormone (GH) retesting and auxological data in 131 GH-deficient patients after completion of treatment. J Clin Endocrinol Metab. 1997;82(2):352–6.
  278. Colao A, Di Somma C, Savastano S, Rota F, Savanelli MC, Aimaretti G, et al. A reappraisal of diagnosing GH deficiency in adults: Role of gender, age, waist circumference, and body mass index. J Clin Endocrinol Metab. 2009;94(11):4414–22.
  279. Cook DM, Rose SR. A review of guidelines for use of growth hormone in pediatric and transition patients. Pituitary. 2012;15(3):301–10.
  280. Quigley CA, Zagar AJ, Liu CC, Brown DM, Huseman C, Levitsky L, et al. United States multicenter study of factors predicting the persistence of GH deficiency during the transition period between childhood and adulthood. Int J Pediatr Endocrinol. 2013;2013(1):6.
  281. Stanley T. Diagnosis of growth hormone deficiency in childhood. Curr Opin Endocrinol Diabetes Obes. 2012;19(1):47–52.
  282. Hage C, Gan H-W, Ibba A, Patti G, Dattani M, Loche S, et al. Advances in differential diagnosis and management of growth hormone deficiency in children. Nat Rev Endocrinol. 2021;17(10):608–24.
  283. Ranke MB, Lindberg A, Albertsson-Wikland K, Wilton P, Price DA, Reiter EO. Increased response, but lower responsiveness, to growth hormone (GH) in very young children (aged 0-3 years) with idiopathic GH deficiency: Analysis of data from KIGS. J Clin Endocrinol Metab. 2005;90(4):1966–71.
  284. Stagi S, Scalini P, Farello G, Verrotti A. Possible effects of an early diagnosis and treatment in patients with growth hormone deficiency: The state of art. Ital J Pediatr. 2017;43(1):81.
  285. Boguszewski MCS. Growth hormone deficiency and replacement in children. Rev Endocr Metab Disord. 2021;22(1):101–8.
  286. Ross J, Fridman M, Kelepouris N, Murray K, Krone N, Polak M, et al. Factors associated with response to growth hormone in pediatric growth disorders: Results of a 5-year Registry Analysis. J Endocr Soc. 2023;7(5):bvad026.
  287. Yuen KCJ, Alter CA, Miller BS, Gannon AW, Tritos NA, Samson SL, et al. Adult growth hormone deficiency: Optimizing transition of care from pediatric to adult services. Growth Horm IGF Res. 2021;56:101375.
  288. Saenger PH, Mejia-Corletto J. Long-acting growth hormone: An update. Endocr Dev. 2016;30:79–97.
  289. Pampanini V, Deodati A, Inzaghi E, Cianfarani S. Long-acting growth hormone preparations and their use in children with growth hormone deficiency. Horm Res Paediatr. 2023;96(6):553–9.

 

Etiologic Classification of Diabetes Mellitus

Table 1 lists the various disorders that can either cause or contribute to the development of diabetes and the Endotext chapters where these disorders are discussed in detail. It should be noted that a patient can have characteristics of more than one type of diabetes. For example, a patient with Type 1 diabetes with positive antibodies can also be obese with the metabolic syndrome and have characteristics typical of Type 2 diabetes.

 

Table 1. Etiologic Classification Of Diabetes Mellitus

Disorders

 

Type 1 Diabetes

Pathogenesis of Type 1 Diabetes

Type 2 Diabetes

Pathogenesis of Type 2 Diabetes

Gestational Diabetes

Gestational Diabetes

Genetic defects of beta-cell development and function

MODY

Diagnosis and Clinical Management of Monogenic Diabetes

Neonatal Diabetes

Diagnosis and Clinical Management of Monogenic Diabetes

Mitochondrial DNA

Atypical Forms of Diabetes

Genetic defects in insulin action

Type A insulin resistance

Atypical Forms of Diabetes

Leprechaunism

Atypical Forms of Diabetes

Rabson-Mendenhall syndrome

Atypical Forms of Diabetes

Lipoatrophic diabetes

Lipodystrophy Syndromes: Presentation and Treatment*

Diseases of the exocrine pancreas

Pancreatitis

Atypical Forms of Diabetes

Trauma/pancreatectomy

Atypical Forms of Diabetes

Neoplasia

Atypical Forms of Diabetes

Cystic fibrosis

Atypical Forms of Diabetes

Iron overload (hemochromatosis, thalassemia, etc.)

Atypical Forms of Diabetes

Fibrocalculous pancreatic diabetes

Fibrocalculous Pancreatic Diabetes**

Endocrinopathies

Acromegaly

Cushing’s syndrome

Glucagonoma

Pheochromocytoma

Hyperthyroidism

Somatostatinoma

Primary Hyperaldosteronism

Atypical Forms of Diabetes

Diabetes Mellitus After Solid Organ Transplantation

Diabetes Mellitus After Solid Organ Transplantation

Drug- or chemical-induced hyperglycemia

Vacor

Pentamidine

Nicotinic acid

Glucocorticoids

Growth Hormone

Diazoxide

Check point inhibitors

Dilantin

Interferon alpha

Immune suppressants

Others (statins, psychotropic drugs, α-adrenergic agonists, β-Adrenergic agonists, thiazides, etc.)

Atypical Forms of Diabetes

Infections

Congenital rubella

Atypical Forms of Diabetes

HCV

Atypical Forms of Diabetes

COVID-19

Atypical Forms of Diabetes

HIV

Diabetes in People Living with HIV

Immune-mediated diabetes

Latent Autoimmune Diabetes in Adults (LADA)

Atypical Forms of Diabetes

Stiff-man syndrome

Atypical Forms of Diabetes

Anti-insulin receptor antibodies

Atypical Forms of Diabetes

Autoimmune Polyglandular Syndromes

Autoimmune Polyglandular Syndromes***

Diabetes of unknown cause

Ketosis-prone diabetes (Flatbush diabetes)

Atypical Forms of Diabetes

Other genetic syndromes sometimes associated with diabetes

Down syndrome

Klinefelter syndrome

Turner syndrome

Wolfram syndrome

Friedreich ataxia

Huntington chorea

Bardet-Biedl syndrome (Laurence-Moon-Biedl) syndrome)

Myotonic dystrophy

Porphyria

Prader-Willi syndrome

Alström syndrome

Others

Atypical Forms of Diabetes

Unless indicated chapters are located in the Diabetes section.

*Chapter in Diagnosis and Treatment of Diseases of Lipid and Lipoprotein Metabolism and Obesity section

**Chapter in Tropical Medicine section

***Chapter in Disorders that Affect Multiple Organs section

 

Pregestational Diabetes Mellitus

ABSTRACT

 

The physiological changes which occur during pregnancy with diabetes are vast and involve every body system. In this chapter, we will review the metabolic changes that occur during normal pregnancies and those affected by pregestational diabetes. Due to the significant overlap in maternal and perinatal risks secondary to pregestational diabetes and obesity, we will review the risks of maternal obesity and hyperglycemia on maternal, fetal, and infant outcomes. The management of pregestational diabetes in pregnancy will be reviewed in detail including up-to-date medications and diabetes technologies. Postpartum issues including changes in insulin sensitivity, breastfeeding, and contraception for individuals with pregestational diabetes will be discussed. 

 

ROLE OF PRECONCEPTION AND INTERPREGNANCY COUNSELING/CARE

 

In recent years, increasing focus has been placed on improving preconception and inter-pregnancy care for reproductive-age individuals (1,2).  Obstetric and perinatal outcomes are improved when an individual with pregestational diabetes enters pregnancy in a medically-optimized state (3–6). Since roughly 50% of pregnancies are unplanned, it is in the individual’s best interest if their team begins discussing contraception and family planning during adolescence and early adulthood, as recommended by the American Diabetes Association (ADA) (7).  Among those with pregestational diabetes, emphasis on strict glycemic control, folic acid supplementation, nutrition and physical activity, encouraging weight loss in overweight/obese individuals, discontinuation of potentially harmful medications (such as statins, angiotensin converting enzyme [ACE] inhibitors), and optimization of associated medical conditions, are all important components of preconception care. Those with pregestational diabetes mellitus (DM) who are planning pregnancy should ideally be engaged in multidisciplinary care in the preconception timeframe with a team that includes an endocrinology health care professional, maternal fetal medicine specialist, registered dietician, and diabetes care and education specialist (7). Counseling should include a review of diabetes-related short- and long-term risks to the pregnant individual and fetus and the relationship of such risk to glycemic control in the peripartum period.

 

Hyperglycemia in the months leading up to conception and through the first trimester confers a significant “dose-dependent” risk of congenital anomalies, including fetal cardiac and skeletal defects, as well as miscarriage (8–10). A glycosylated hemoglobin (A1c) value ≤6.0% around the time of conception is associated with a risk for congenital anomalies of 1-3%, similar to the baseline population risk (9). Hence, the ADA recommends achieving an A1c <6.5% prior to conception, while the American College of Obstetricians and Gynecologists (ACOG) recommends an even stricter target of an A1c <6.0% (7,11). Furthermore, if diabetes is poorly controlled or sequelae such as renal and cardiac disease are present at the time of conception, obstetric risks of hypertensive disorders of pregnancy (HDP), preterm delivery, and stillbirth are also increased (12,13).

 

We encourage health care providers to view every encounter with an individual of reproductive age as a pre-conception visit, in particular because nearly half of pregnancies in the US are not planned (Figure 1).  Socio-economic barriers including poor health literacy, smoking, being unmarried, lower family income, and poor relationship with their provider are associated with an absence of pre-pregnancy care, so increased efforts must be made to provide avenues to discuss family planning among these individuals (14). Some suggested solutions include app-based platforms to engage individuals and provide education on diet and lifestyle as well as pharmacy-based surveys to identify individuals who require folic acid supplements or other medication adjustments (15,16).

 

Figure 1. Adapted from Wilkie, G. & Leftwich, H. (2020). Optimizing Care Preconception for Individuals With Diabetes and Obesity. Clinical Obstetrics and Gynecology.

 

NORMAL GLUCOSE LEVELS IN PREGNANCY

 

Understanding normative glucose levels in pregnancy is important for setting glycemic targets in pregnant individuals with pregestational diabetes. The first change that happens is a fall in fasting glucose levels, which occurs early in the first trimester. In the second and third trimesters, glucose levels rise slightly due to insulin resistance. A review of the literature including all available trials using continuous glucose monitors (CGM), plasma glucose samples, and self-monitored blood glucose (SMBG) demonstrated that pregnant individuals without diabetes and obesity during the third trimester (~34 weeks) have on average a fasting blood glucose (FBG) of 71 mg/dl; a 1 hour postprandial (PP) glucose of 109 mg/dl; and a 2 hour value of 99 mg/dl, which are all much lower than the current targets for glycemic control for pregnant individuals with diabetes (17) (Figure 2). Increasing gestational age affects "normal" glucose levels. A longitudinal study of 32 healthy, normal weight pregnant individuals between 16 weeks’ gestation to 6 weeks postpartum demonstrated a rise in mean glucose levels using CGM from 16 weeks (82.3 mg/dl) to 36 weeks (94.0 mg/dl) which was maintained at 6 weeks postpartum (93.7 mg/dl) (18). Two-hour postprandial levels were increased rising from 95.7 mg/dl at 16 weeks to a peak of 110.6 mg/dl at 36 weeks. Although fasting blood glucose levels are lower in pregnancy, postprandial glucose levels are slightly elevated, which is likely related to the many impaired insulin action, altered β cell secretion, hepatic gluconeogenesis, and placentally-derived circulating hormones (19). Among those without pregestational or gestational diabetes, many CGM parameters are higher in individuals with obesity compared to those with a normal BMI (20).

 

Figure 2. Glucose Levels During Pregnancy not affected by diabetes. A. Patterns of glycemia in normal pregnancy (gestational week 33.8 ± 2.3) across 11 studies published between 1975 and 2008. B. Mean pattern of glycemia across 12 studies.

 

REDUCING THE RISK OF CONGENITAL ANOMALIES

 

Hyperglycemia is a teratogen and can result in complex cardiac defects, central nervous system (CNS) anomalies such as anencephaly and spina bifida, skeletal malformations, and genitourinary abnormalities (21–23). A systematic review of 13 observational studies of pregnant individuals with pregestational diabetes demonstrated that poor glycemic control resulted in a pooled odds ratio of 3.44 (95%CI 2.3-5.15) of a congenital anomaly, 3.23 (CI 1.64- 6.36) of spontaneous loss and 3.03 (1.87-4.92) of perinatal mortality compared to individuals with optimal glycemic control (24). Individuals with a normal A1c at conception and during the first trimester have no increased risk while individuals with an A1c of 10-12% or a fasting blood glucose >260 mg/dl have up to a 25% risk of major congenital malformations (25,26). A recent analysis of 1,676 deliveries to individuals with pregestational diabetes between 2009-2018 found a similar significant rate of congenital anomalies especially with increasing A1c at the first prenatal visit: individuals with an A1c of 10% had a major congenital anomaly rate of 10% while individuals with an A1c of 13% had a 20% major anomaly rate. The overall anomaly rate was 8% in this contemporary cohort of whom 91% had type 2 diabetes (T2DM) (27). The offspring of individuals with type 1 diabetes T1DM have higher prevalence of neonatal death as well as infant death compared with offspring of individuals without diabetes. Periconception A1c >6.5%, preconception retinopathy, and lack of preconception folic acid supplementation were all independently associated with risk of neonatal and infant death (28). A recent systematic review and meta-analysis also showed an increased risk of neonatal mortality and stillbirth in pregnancies affected by T2DM compared with those without diabetes (29). Most organizations recommend pregnant individuals with pregestational diabetes achieve an A1c of less than 6.5% prior to conception (30,31). For individuals with hypoglycemia unawareness, less stringent glycemic targets may need to be used such as an A1c <7.0%. The A1C falls in pregnancy and if it is possible without significant hypoglycemia, an A1c of less than 6% is recommended.

 

The mechanism of glucose-induced congenital anomalies has not been fully elucidated (32). It has been shown that diabetes-induced fetal abnormalities may be mediated by a number of metabolic disturbances, including elevated superoxide dismutase activity, reduced levels of myoinositol and arachidonic acid, and inhibition of the pentose phosphate shunt pathway. Oxidative stress appears to be involved in the etiology of fetal dysmorphogenesis and neural tube defects in the embryos of diabetic mice and are also associated with altered expression of genes which control development of the neural tube (33).

 

Individuals with T2DM are more likely to be treated for dyslipidemia and hypertension. Chronic hypertension occurs in 13-19% of individuals with T2DM and many of these individuals will be prescribed an ACE inhibitor or Angiotensin receptor blocker (ARB) (34). The data on risk for first trimester exposure to ACE inhibitors is conflicting (see nephropathy section). Depending on the indication for use, an informed discussion on the benefits and risks of stopping these agents before pregnancy must occur but they should certainly be stopped as soon as a missed period occurs. The data on teratogenicity of statins for treatment of hypercholesterolemia is also conflicting and is based on animal, not human, studies (35).  Pravastatin has had favorable effects on vascular endothelial growth factor in animal studies (36–38). A small multicenter pilot study examining pravastatin in prevention of HDP in high-risk pregnant individuals found that pravastatin was safe when started between 12-16 weeks gestation (39). There is a large randomized clinical trial of 1,550 pregnant individuals evaluating pravastatin to prevent HDP that is ongoing currently (ClinicalTrials.gov ID NCT03944512).  At this time, current guidelines recommend that statins be stopped prior to pregnancy, but definitely at diagnosis of pregnancy, for most individuals (7). Continuation of statins preconception and during pregnancy may be warranted through shared decision making and risk/benefit discussions in high-risk individuals (40).

 

INFLUENCE OF METABOLIC CHANGES IN PREGNANCY

 

Pregnancy is a complex metabolic state that involves dramatic alterations in the hormonal milieu in addition to changes in adipocytes and inflammatory cytokines. There are high levels of estrogen, progesterone, prolactin, cortisol, human chorionic gonadotropin, placental growth hormone, human chorionic somatomammotropin (human placental lactogen), leptin, TNFα, and oxidative stress biomarkers. In addition, decreases in adiponectin worsen maternal insulin resistance in the second trimester to facilitate fuel utilization by the fetus (41).

 

Metabolically, the first trimester is characterized by increased insulin sensitivity, which promotes adipose tissue accretion in early pregnancy. What mediates this increased insulin sensitivity remains unclear. Pregnant individuals are at an increased risk for hypoglycemia, especially if accompanied by nausea and vomiting in pregnancy. Although most pregnant individuals show an increase in insulin sensitivity between 6-20 weeks’ gestation and report more frequent episodes of hypoglycemia, especially at night, there is a transient increase in insulin resistance very early in pregnancy (prior to 10 weeks), usually followed by increased insulin sensitivity up until 14-20 weeks (42).

 

In the fasting state, pregnant individuals deplete their glycogen stores quickly due to the fetoplacental glucose demands, and switch from carbohydrate to fat metabolism within 12 hours, resulting in increased lipolysis and ketone production (43–45). In pregnant individuals without diabetes, the second and third trimesters are characterized by insulin resistance with a 200-300% increase in the insulin response to glucose (46).  This serves to meet the metabolic demands of the fetus, which requires 80% of its energy as glucose, while maintaining euglycemia in the mother. The placental and fetal demands for glucose are considerable and approach the equivalent of ~150 grams per day of glucose in the third trimester (44). In addition, the maternal metabolic rate increases by ~150-300 kcal/day in the third trimester, depending on the amount of gestational weight gain. These increased nutritional needs place the pregnant individual at risk for ketosis, which occurs much earlier than usual without adequate oral or intravenous nutrients, frequently referred to as "accelerated starvation of pregnancy" (43).  See “Diabetic Ketoacidosis in Pregnancy” section for further details.

 

DIABETES COMPLICATIONS AND TREATMENT OPTIONS IN INDIVIDUALS WITH PREGESTATIONAL DIABETES AND THE ROLE OF PRECONCEPTION COUNSELING

 

Although historically, T1DM has been more prevalent than T2DM in individuals of child-bearing age, this is changing with increased obesity rates worldwide. The prevalence of prediabetes and diabetes is a burgeoning global epidemic (47,48). In the United States, the prevalence of diabetes among adults between 1980 and 2020 has quadrupled with an estimated 21.9 million adults living with diabetes, including reproductive aged individuals (48). There was higher prevalence of diabetes among non-Hispanic blacks and Mexican Americans (49). Similar temporal trends, as well as racial and ethnic disparities, have been observed in the rate of pregestational diabetes among pregnant individuals in the US (Figures 3 and 4) (50).

 

Figure 3. Rate of pregestational diabetes in the United States, 2016-2021.

Figure 4. Rate of pregestational diabetes by race and Hispanic origin in the United States, 2021.

Both pregnant individuals with T1DM and T2DM are at increased risk of poor obstetrical outcomes, and both can have improved outcomes with optimized care (5,51). The White Classification (Table 1) was developed decades ago by Priscilla White at the Joslin Clinic to stratify risk of adverse pregnancy outcomes in individuals with T1DM according to the age of the individual, duration of diabetes, and presence of vascular complications of diabetes. Although recent evidence suggests that the classification does not predict adverse pregnancy outcomes better than taking into account the increased risk of micro- and macrovascular disease (e.g. retinopathy, nephropathy, hypertension, coronary artery disease, etc.), it is still often used in the U.S. to indicate level of risk for adverse pregnancy outcomes (52).  Although it was developed for use in individuals with T1DM rather than T2DM, given the very low prevalence of T2DM in individuals of childbearing age decades ago when it was first established in 1949, many also apply it to this group of individuals. ACOG further modified it in 1986, and gestational diabetes (GDM) was added to the classification and designated as A1 (controlled by diet alone) and A2 (controlled by medication). Pregnant individuals with T2DM are at least as high of a risk of pregnancy complications as individuals with T1DM. The reasons for this may include older age, a higher incidence of obesity, a lower rate of preconception counseling, disadvantaged socioeconomic backgrounds, and the co-existence of the metabolic syndrome including hyperlipidemia, hypertension, and chronic inflammation (34). Furthermore, the causes of pregnancy loss appear to differ in individuals with T1DM versus T2DM. In one series comparing outcomes, >75% of pregnancy losses in individuals with T1DM were due to major congenital anomalies or prematurity (53).  In individuals with T2DM, >75% were attributable to stillbirth or chorioamnionitis, suggesting that obesity may play a role.

 

Table 1. Modified White Classification of Pregnant Diabetic Individuals

Class

Diabetes onset age (year)

Duration (year)

Type of Vascular

Disease

Medication Need

Gestational Diabetes (GDM)

A1

Any

Pregnancy

None

None

A2

Any

Pregnancy

None

Yes

Pregestational Diabetes

B

20

<10

None

Yes

C

10-19 OR

10-19

None

Yes

D

<10 OR

20

Benign

Retinopathy

Yes

F

Any

Any

Nephropathy

Yes

R

Any

Any

ProliferativeRetinopathy

Yes

T

Any

Any

Renal Transplant

Yes

H

Any

Any

Coronary Artery

Disease

Yes

 

MANAGEMENT OF PREGESTATIONAL DIABETES DURING PREGNANCY

 

Treatment Options in Achieving Glycemic Control

 

All pregnant individuals with T1DM and T2DM should target an A1c of <6.5% preconception and <6.0% during pregnancy when possible. For pregnant individuals with T2DM on oral or noninsulin injectable agents, consider switching to insulin prior to pregnancy, even in individuals with goal glycemic control. Insulin should be used for management of T1DM and is the preferred agent for management of T2DM in pregnancy.

 

ORAL AND NON-INSULIN INJECTABLE GLYCEMIC LOWERING AGENTS

 

No oral hypoglycemics, including metformin and glyburide, are approved for pregestational diabetes in pregnancy. There is no evidence that exposure to glyburide or metformin in the first trimester are teratogenic, but both do cross the placenta, metformin substantially more than glyburide (54–56). Both of these agents have been used in multiple randomized controlled trials (RCTs) for GDM and T2DM. Please see Endotext Gestational Diabetes chapter.

 

Metformin

 

Early studies on metformin use in pregnancy for individuals with pregestational diabetes found high failure rates of monotherapy and mixed results on the impact on pregnancy outcomes (57,58). Recent randomized trials have evaluated the safety and efficacy of metformin in pregnancy for individuals with T2DM (59,60). The Metformin in Women with Type 2 Diabetes in Pregnancy Trial (MiTy) enrolled 502 individuals with T2DM and randomized them to metformin 1000 mg twice daily or placebo, added to insulin (60). They found no difference in their primary outcome which was a composite of serious neonatal outcomes. They found that individuals treated with metformin achieved better glycemic control, required less insulin, had less gestational weight gain (GWG), and were less likely to deliver via cesarean. Neonates exposed to metformin were more likely to be SGA and had reduced adiposity. The Medical Optimization and Management of Pregnancies with Overt Type 2 Diabetes (MOMPOD) trial enrolled 794 pregnant individuals with a diagnosis of T2DM prior to pregnancy or a diagnosis of diabetes early in pregnancy and randomized them to metformin 1000 mg twice daily or placebo (59). They found no difference in their primary composite neonatal outcome. Metformin exposed neonates were less likely to be LGA.

 

Data on long term outcomes for offspring exposed to metformin come from trials in both GDM and pregestational diabetes. Follow up from the Metformin in Gestational Diabetes (MiG) trial followed 208 children (28% of original trial) and found no differences in body composition or metabolic outcomes at 7 years (61). At 9 years the metformin offspring were slightly larger by measures of BMI and skinfolds. In 24 month follow up of the MiTy trial, 263 children (61% of original trial) were assessed and no differences in BMI Z score or mean sum of skinfolds was found (62). A systematic review and meta-analysis of neonatal and childhood outcomes following treatment with metformin versus insulin for GDM, demonstrated that while offspring exposed to metformin had lower birth weights, they were heavier as infants and had higher BMIs as children.

 

Metformin has historically been used preconception and throughout the first trimester in individuals with polycystic ovary syndrome (PCOS) to improve fertility and prevent early miscarriage. However, trials have not shown benefit in use of metformin for preventing spontaneous abortion and have demonstrated letrozole as the preferred agent for ovulation induction (63–65). Current guidelines therefore recommend the use of metformin in those with PCOS who demonstrate glucose intolerance but not as a primary agent to improve fertility or pregnancy outcomes (66). Per ADA recommendations, metformin prescribed for the purpose of ovulation induction should be discontinued by the completion of the first trimester (7).

 

When used in pregnancy, metformin is typically prescribed with a starting dose of 500 mg once or twice daily for 5-7 days. If well tolerated, the dose can subsequently be up titrated to a maximum dose of 2500 mg daily in divided doses with meals. The most common reported side effects are gastrointestinal complaints (67). Metformin should be avoided in those with renal insufficiency.

 

Glyburide

 

Data on glyburide in pregnancy comes from studies on its use in individuals with GDM. Briefly, meta-analyses have demonstrated increased risk of adverse neonatal outcomes such as neonatal hypoglycemia, macrosomia and increased neonatal abdominal circumference.(68,69) There is a dearth of evidence on long term outcomes of offspring exposed to glyburide.

 

Other Agents

 

There is minimal data on thiazolidinediones, metiglinides, dipeptidyl peptidase IV (DPP-4) inhibitors, glucagon-like peptide 1 (GLP-1) agonists, and sodium-glucose transport protein 2 (SGLT-2) inhibitors. A 2023 review of the evidence on GLP-1 agonist and SGLT-2 inhibitors found potential teratogenicity and adverse pregnancy outcomes based largely on animal data and more limited human data (70). Additional data on SGLT-2 inhibitors and DPP-4 inhibitors is reassuring but extremely limited (71).

 

GLP-1 agonist use, in particular, has increased in the general population over the last decade (72). Outside of pregnancy, these agents are approved for use in individuals with obesity and T2DM with HbA1c above goal, atherosclerotic cardiovascular disease, or chronic renal disease (73–75). Studies have shown their use can lead to a reduction in HbA1c, weight loss, and a decrease in athero-thrombotic events in nonpregnant individuals (73,74,76). Animal studies of exposure to GLP-1 agonists during pregnancy have shown associations with congenital anomalies, decreased fetal growth, and embryonic death (70,73,77). Two recent observational studies on periconceptual use of GLP-1 agonists in humans have not demonstrated an association between GLP-1 agonist use and major congenital malformations (71,78). However, these studies have limited data on maternal glycemic control and on other important adverse pregnancy outcomes such as HDP, preterm birth, and fetal growth restriction (73).

 

At this time, the use of these agents in pregnancy should ideally occur only in the context of approved clinical trials.

 

INSULIN USE IN PREGNANCY

 

Overall Approach

 

Both ADA and ACOG recommend insulin as first line therapy for pregnant individuals with pregestational diabetes while trying to conceive and during pregnancy (7,11). Unlike oral agents, insulin preparations commonly utilized in pregnancy do not cross the placenta (79–81).  It is recommended that individuals with T2DM who are actively trying to become pregnant should be switched from oral or noninsulin injectable hypoglycemic agents to insulin prior to conception if possible. This rationale is based on the fact that it may take some time to determine the ideal insulin dose prior to the critical time of embryogenesis. However, individuals who conceive on any oral agents should not stop them until they can be switched effectively to insulin because hyperglycemia is potentially more dangerous than any of the current available therapies to treat diabetes. Following a review of risks and benefits, oral agents, such as metformin, may be considered as a reasonable adjunct or alternative therapy for those unable or unwilling to use insulin while attempting to conceive or during pregnancy. 

 

Basal Insulin

 

Basal insulin is given 1-2 times daily or via a continuous insulin infusion pump. Intermediate-acting insulin, such as neutral protamine Hagedorn (NPH), and long-acting insulin analogues, such as detemir and glargine may be used. Compared to NPH, both detemir and glargine have a flatter, more consistent insulin activity (82). Studies have shown no difference in pregnancy and neonatal outcomes when comparing glargine to NPH (83). Despite a lack of trial data, both U100 and U300 glargine are commonly used in pregnancy given a reassuring safety profile in observational studies (84,85). Trials of detemir, compared to NPH, have demonstrated improved glycemic control as well as lower rates of adverse pregnancy and neonatal outcomes (86–88).  However, as of 2024, detemir has been discontinued on the US market. Limited data exists on the ultralong-acting insulin analog, degludec. A 2023 trial showed degludec was noninferior to determir when used in a basal-bolus regimen with respect to glycemic control and pregnancy outcomes (89). There have been no studies looking at the safety of newer basal insulins such as biosimilar glargine (Basaglar), however these are commonly used in pregnancy due to constraints of availability and insurance coverage.

 

Basal insulin may be provided as two doses of NPH or with one or two doses of a long-acting analogue. Fasting hyperglycemia may be best targeted by the use of NPH before bedtime to take advantage of its 8-hour peak. The evening dose of NPH should be administered at bedtime, rather than dinner, to avoid nocturnal hypoglycemia and prevent fasting hyperglycemia (81).

 

Bolus Insulin

 

Bolus insulin dosing is provided with short- or rapid-acting insulin with doses calculated based on pre-meal glucose and carbohydrate intake using a correction factor and insulin to carbohydrate ratio (90). Alternatively, fixed meal-time insulin dosing can be prescribed. Rapid-acting insulins, lispro and aspart, have been used in multiple trials in pregnancy, and their safety and efficacy are well-established. Lispro and aspart are preferred to short-acting regular insulin due to improvement in postprandial glycemia and reduced hypoglycemia, with equivalent fetal outcomes (91,92). Patient satisfaction has also been higher for individuals using lispro or aspart compared to regular insulin (87). Lispro or aspart insulin may be especially helpful in pregnant individuals with hyperemesis or gastroparesis because they can be dosed after a successful meal and still be effective. It has been demonstrated that rapid acting insulins may take longer to reach maximal concentrations (49 [37-55] vs 71 [52-108] min) in late gestation (93).  Thus, for some pregnant individuals it may be necessary to take mealtime insulin 15-30 minutes prior to the start of a meal (termed pre-bolusing). If used in conjunction with NPH, due to its longer duration of action, regular insulin should be taken twice a day with a second dose no sooner than 5 hours after the initial dose (94).  Regular insulin should generally be given 30-60 minutes prior to starting a meal. Despite limited data, both ultra rapid-acting aspart (Fiasp) and lispro (Lyumjev) are approved for use in Europe given similarities to their rapid-acting versions (95). A recent trial in pregnant individuals comparing rapid-acting aspart to ultra rapid-acting aspart found no difference in A1c or mean birthweight (96).

 

An understanding of behavior and lifestyle including mealtimes, sleep, work schedules, and physical activity, in conjunction with blood glucose data, may aid in the selection of an appropriate basal and bolus regimen. Pharmacologic therapy should occur in conjunction with ongoing nutritional therapy and lifestyle changes.

 

Continuous Subcutaneous Insulin Infusion (CSII) or Insulin Pump Therapy  

 

Many pregnant individuals with T1DM or long-standing T2DM require multiple daily injections (MDI, 4-5 injections per day) or a continuous subcutaneous insulin infusion pump (CSII) to achieve optimal glycemic control during pregnancy. Many individuals with T1DM use CSII and CGM during pregnancy (97). CGM will be reviewed in detail below. There have been several studies showing CSII use is safe in pregnancy. In a large multicenter trial of individuals with T1DM during pregnancy, individuals using CSII had improved A1c both in the first trimester as well as in the third trimester and there was no difference in rates of diabetic ketoacidosis (DKA) or severe hypoglycemia compared with individuals using MDI (98).  An analysis of data from 248 individuals with T1DM enrolled in the Continuous Glucose Monitoring in Women With Type 1 Diabetes in Pregnancy Trial (CONCEPTT) showed that pregnant individuals using MDI therapy versus CSII therapy had similar first trimester glycemia but MDI users had lower glycemia at 34 weeks and were more likely to achieve target A1c than CSII users. In this analysis, CSII users had an increased risk of NICU admission, neonatal hypoglycemia, and hypertensive disorders of pregnancy compared with MDI users (99). Several additional studies and a Cochrane review of MDI versus CSII generally have shown equivalent glycemic control, as well as maternal and perinatal outcomes (100–105). CSII can be especially useful for individuals with nocturnal hypoglycemia, gastroparesis, or a prominent dawn phenomenon (99). 

 

Disadvantages of CSII include cost and the risk for hyperglycemia or DKA as a consequence of insulin delivery failure from a kinked catheter or from infusion site problems, although rare (106). Pregnant individuals should be educated on how to quickly recognize and manage insulin pump failure. Therefore, it may be optimal to begin pump therapy before pregnancy due to the steep learning curve involved with its use and the need to continually adjust basal and bolus settings due to the changing insulin resistance in pregnancy. However, in motivated pregnant individuals with a multidisciplinary team of diabetes education specialists and pump trainers, insulin pump initiation is safe in pregnancy. Several studies demonstrate significant changes in bolus more than basal insulin requirements during pregnancy which should be understood to achieve optimal glycemic control(107,108). 

 

Automated Insulin Delivery

 

Automated insulin delivery (AID) systems are comprised of a CGM, an insulin pump, and an algorithm that uses CGM data to calculate insulin (109). Diabetes technology use in general, and AID use specifically, has become increasingly prevalent and is expected to continue to increase in the coming years (110,111). The existing data on AID use in pregnancy have shown improved or equivalent CGM metrics when compared with MDI (112–114). The Automated insulin Delivery Among Pregnant Women with TIDM (AiDAPT) trial was a multicenter, randomized controlled trial of 124 pregnant individuals with T1DM comparing MDI to AID with a pregnancy-specific target glucose range (112). Those using AID spent more time in range, spent less time above range, and had lower A1c levels. There were no safety concerns, including severe hypoglycemia or DKA associated with AID use. Other trials of AID use in pregnancy have not used pregnancy-specific glucose targets and participants in these studies have used assistive techniques that override algorithms such as ‘fake’ carbohydrate insulin boluses and use of mode with stricter ranges such as sleep mode. This includes CRISTAL, a randomized controlled trial of 95 pregnant individuals with T1DM comparing AID to MDI (113). There was no difference in the primary outcome of time in range, however those using AID had more overnight time in range and had less time below range. Studies have not yet demonstrated improvements in other pregnancy outcomes with AID use; however, several trials are ongoing (115,116). In 2024, the CamAPS FX algorithm, used in the AiDAPT trial was Food and Drug Administration (FDA) approved for use in pregnancy. There are several additional AID systems that are FDA approved for use outside of pregnancy. In the interim, pregnant individuals are also using do-it-yourself AID systems and while no observational study or trial data exist, case reports to date have shown positive outcomes and patient experiences (117–119). 

 

Few studies have evaluated patient perspectives and psychosocial implications of AID use in pregnancy. Those that do exist suggest both benefits and burdens of these systems (120–122). Benefits include improved well-being, greater flexibility, and more positive collaboration between pregnant individuals and their healthcare team. Burdens include technical failures, device maintenance, system bulk/visibility, and access to an overwhelming amount of data. Ongoing education and support for both patients and providers are necessary to optimize the balance of these positive and negative aspects of AID use in pregnancy (120,123).

 

The ADA recommends that AID systems with pregnancy specific targets are preferred for use in pregnancy; however, those without pregnancy specific targets may be considered for use in collaboration with experienced health care teams (7). Glycemic control, comfort with technology, social determinants of health, and individual preference should all be considered when evaluating individuals for AID use in pregnancy.  

 

Importance of Glycemic Control

 

Failure to achieve optimal control in early pregnancy may have teratogenic effects in the first 3-10 weeks of gestation or lead to early fetal loss. Poor glycemic control later in pregnancy increases the risk of intrauterine fetal demise, macrosomia, cardiac septal enlargement in the fetus, perinatal death, and metabolic complications such as hypoglycemia in the newborn. Target glucose values for fasting and postprandial times should be discussed with the pregnant individual. Current guidelines are that fasting and pre-meal blood glucose should be 70-95 mg/dl, the 1-hour postprandial glucose should be 110-140 mg/dl and the 2-hour postprandial glucose should be 100-120 mg/dl (7,11).

 

Although a review of the literature suggests that the mean fasting plasma glucose (FPG), 1 hour PP, and 2 hour PP +/- 1 SD glucose values are significantly lower in normal weight individuals in the 3rd trimester (FPG ~71 +/- 8 mg/dl; 1 hour PP ~109 +/- 13 mg/dl; 2 hour PP 99 +/- 10 mg/dl) than current therapeutic targets (19), no RCTs have been completed to determine whether lowering the therapeutic targets results in more favorable pregnancy outcomes. A prospective study in pregnant individuals with T1DM showed less HDP with glucose targets of fasting <92 mg/dl, pre-prandial <108 mg/dl and 1 hour postprandial <140 mg/dl (124).  An A1c should be done at the first visit and every 1-3 months thereafter depending on if at target or not (<6% if possible, with minimal hypoglycemia) (11,30).  Additional labs and exams recommended for individuals with pregestational diabetes during pregnancy are summarized in Table 2.

 

Table 2. Evaluation of Pregnant Individuals with Pregestational Diabetes

A1c

Initially and every 1 – 3 months

TSH

TSH every trimester if + TPO antibodies

TG

Repeat if borderline due to doubling in pregnancy

ALT; AST

For evaluation for MASLD and as baseline

HDP labs

Cr; Urine albumin or protein

If abnormal, obtain 24-hour urine for protein and estimated CrCl Repeat Prot/Cr ratio or 24-hour urine every 1 – 3 months if significant proteinuria or hypertension

Ferritin, B12

Obtain for anemia or abnormal MCV, especially B12 if T1DM DM

Baseline HDP labs

Consider Uric Acid; Obtain CBC with platelet count in addition to AST, ALT, BUN, Cr, 24-hour urine for protein, Cr

EKG

For individuals ≥35 years or CV risk factors; Consider further evaluation if indicated

Dilated Retinal Exam

Within 3 months of pregnancy or first trimester and repeat evaluation according to risk of progression

Abbreviations: glycosylated hemoglobin (A1c), thyroid stimulating hormone (TSH), thyroid peroxidase (TPO), triglycerides (TG), alanine aminotransferase (ALT), aspartate aminotransferase (AST), metabolic dysfunction-associated steatotic liver disease (MASLD), creatinine (Cr), electrocardiogram (EKG).

 

The risk of maternal hypoglycemia needs to be weighed against the risk of maternal hyperglycemia. Maternal hypoglycemia is common and often severe in pregnancy in individuals with T1DM. During the first trimester, before the placenta increases the production of hormones, nausea and increased insulin sensitivity may place the mother at risk for hypoglycemia. Pregnant individuals must be counseled that their insulin requirements in the first trimester are likely to decrease by 10-20% (125). This is especially true at night when prolonged fasting and continuous fetal-placental glucose utilization places the pregnant individual at even higher risk for hypoglycemia. One of the highest risk periods for severe hypoglycemia is between midnight and 8:00 a.m. Pregnant individuals with diabetes complicated by gastroparesis or hyperemesis gravidarum are at the greatest risk for daytime hypoglycemia. In a series of 84 pregnant individuals with T1DM, hypoglycemia requiring assistance from another person occurred in 71% of individuals with a peak incidence at 10-15 weeks gestation (126). One third of individuals had at least one severe episode resulting in seizures, loss of consciousness, or injury. There are also data to suggest that the counterregulatory hormonal responses to hypoglycemia, particularly growth hormone and epinephrine, are diminished in pregnancy (127,128). This risk of hypoglycemia may be ameliorated if efforts are made to achieve good glycemic control in the preconception period, by the use of analogue insulins, and with the use of CGM (128,129). Insulin pumps with or without CGM may help achieve glycemic targets without increasing hypoglycemia (98,131,132). 

 

Use of CGM especially with real-time sensor glucose data shared with a partner has been shown to reduce fear of hypoglycemia in pregnancy. The risk of hypoglycemia is also present in pregnant individuals with T2DM but tends to be less so than in individuals with T1DM (133). The risk of hypoglycemia to the fetus is difficult to study but animal studies indicate that hypoglycemia is potentially teratogenic during organogenesis (134). Exposure to hypoglycemia in utero may have long-term effects on the offspring including neuropsychological defects (134). To help reduce risk of nocturnal hypoglycemia, individuals with T1DM may need a small bedtime snack and/or reduce overnight basal insulin doses. Every pregnant individual should have a glucagon emergency kit (intramuscular injection or intranasal) and carry easily absorbed carbohydrate at all times. Education of individuals and care providers to avoid hypoglycemia can reduce the incidence of hypoglycemia unawareness. The incidence of severe hypoglycemia in pregnant individuals with T1DM can be reduced without significantly increasing A1c levels and is a priority given hypoglycemic unawareness worsens with repeated episodes and can result in maternal seizures and rarely maternal death (135).

 

By 18-20 weeks of gestation, peripheral insulin resistance increases resulting in increasing insulin requirements so that it is not unusual for a pregnant individual to require 2-3 times as much insulin as she did prior to pregnancy depending on baseline insulin resistance, carbohydrate intake, and body mass index. In a study of 27 individuals with T1DM on an insulin pump, the carbohydrate-to-insulin ratio intensified 4-fold from early to late pregnancy (e.g. 1 unit for every 20 grams to 1 unit for every 5 grams), and the basal insulin rates increased 50% (107).

 

Glucose Monitoring Timing and Frequency

 

Pregnant individuals with diabetes must frequently self-monitor their glucose to achieve tight glycemic control. Since fetal macrosomia (overgrowth) is related to both fasting and postprandial glucose excursions, pregnant individuals with diabetes need to monitor their post-meal and fasting glucoses regularly and those using a flexible intensive insulin regimen also need to monitor their pre-meal glucose values (136).

 

Postprandial glucose measurements determine if the insulin to carbohydrate ratios is effective in meeting glycemic targets as optimal control is associated with less macrosomia, metabolic complications in the fetus, and possibly HDP (124,137).  Due to the increased risk of nocturnal hypoglycemia with intensive insulin therapy, glucose monitoring during the night is often necessary given the frequent occurrence of recurrent hypoglycemia and resulting hypoglycemic unawareness with the achievement of tight glycemic control.

 

Continuous Glucose Monitoring

 

CGM may help identify periods of hyper- or hypoglycemia and certainly confirm glycemic patterns and variability (138,139). In pregnancy, the mean sensor glucose may be better at estimating glycemic control than A1c (140). The previously mentioned CONCEPTT trial was a large multicenter trial that examined CGM use in individuals planning pregnancy as well as pregnant individuals with T1DM using either MDI or insulin pump therapy (139). This study found statistically significantly lower incidence of LGA infants, less neonatal intensive care unit stays, and less neonatal hypoglycemia with CGM used compared to capillary glucose monitoring. There was a small difference in A1c among the pregnant individuals using CGM, less time spent in hyperglycemia range, and more time spent in range. Importantly this was the first study to show improvement in non-glycemic clinical outcomes for CGM use in pregnancy (139). A follow-up study to the CONCEPTT trial found that pregnant individuals using real-time CGM compared to capillary glucose monitoring were more likely to achieve ADA and NICE (National Institute of Clinical Excellence) guidelines for A1c targets by 34 weeks gestation. Similar to CONCEPTT, additional observational studies have demonstrated that modest increases (5%) in TIR are associated with improved glycemic control and reduced neonatal morbidity (141,142). Data on the use of CGM for pregnant individuals with T2DM is more limited and has not consistently demonstrated improved outcomes (143–145).There are multiple ongoing trials investigating the impact of CGM on pregnancy outcomes in individuals with T2DM (146,147).

 

Given the improvement demonstrated in outcomes, the ADA recommends CGM for use in pregnant individuals with T1DM. However, due to insufficient data in pregnant individuals with T2DM, use of CGM in this population may be considered on an individualized basis. For pregnant individuals with T1DM, the International Consensus on Time in Range recommends increasing time in range in pregnancy quickly and safely with a pregnancy goal sensor glucose range of 63 to 140 mg/dl with >70% time in range, <25% time above range (>140 mg/dl), <4% of time below 63 mg/dl, and <1% time below 54 mg/dl (148). The expert guidance recommends the same glucose goal ranges for pregnant individuals with T2DM or GDM but do not specify goals for time spent in each range due to lack of clear evidence in these populations.

 

CGM has been an advancing technology with tremendous improvements in accuracy, comfort, longer duration, convenience, and insurance coverage over the past decade. Some newer CGM devices are factory calibrated and do not require fingerstick glucose calibrations. There are also flash CGM systems on the market which require scanning of the sensor with a receiver to display the sensor glucose. The Freestyle Libre and Dexcom G7 are now approved for use in pregnancy, while several others continue to be used during pregnancy off-label. Pregnant individuals with diabetes may use CGM either in conjunction with an insulin pump or with MDI therapy to help achieve glycemic control.

 

Sensor glucose values from CGM may not be as accurate at extremes of hypo- or hyperglycemia or with rapid changes in glucose, so individuals should always check fingerstick glucose if she feels the glucose value is different than the displayed sensor glucose value. CGM values may have a lag time behind actual plasma glucose values.

 

Glycosylated Hemoglobin (A1c)

 

A1c may be used as a secondary measure in pregnancy with a goal of <6% considered optimal if able to be achieved without increased risk of hypoglycemia (7,11). Improved pregnancy outcomes have been demonstrated with A1c <6-6.5% including lower risk of congenital anomalies, HDP, preterm delivery, shoulder dystocia, and NICU admission (8–10,149). However, A1c is a summative measure that may not capture fluctuations in hypo- and hyperglycemia. Due to physiological changes in red blood cell turnover during pregnancy, A1c levels fall during normal pregnancy and levels may require more frequent monitoring than in non-pregnant populations (150,151).

 

DIABETES MICROVASCULAR AND MACROVASCULAR COMPLICATIONS

 

Individuals should be up-to-date on screening for complications of diabetes prior to conceiving. Diabetes care providers should discuss risk of adverse pregnancy outcomes and progression of complications during pregnancy especially in individuals with retinopathy and nephropathy (152,153).

 

Retinopathy

 

Diabetic retinopathy may progress during pregnancy and throughout the first year postpartum. However, pregnancy does not cause permanent worsening in mild retinopathy (154,155). The cause for progression in moderate and especially severe proliferative retinopathy is likely due to a combined effect of the rapid and tight glycemic control, increased plasma volume, anemia, placental angiogenic growth factors, and the hypercoagulable state of pregnancy (156,157). In 179 pregnancies in individuals with T1DM who were followed prospectively, progression of retinopathy occurred in 5% of individuals. Risk factors for progression were duration of diabetes >10 years and moderate to severe background retinopathy (156). The risk of progression of retinopathy is most pronounced in individuals with more severe pregestational proliferative retinopathy, chronic hypertension, HDP, development of hypertension during pregnancy, and poor glycemic control prior to pregnancy (158). For these individuals, proliferative retinopathy may also progress during pregnancy, especially in individuals with hypertension or poor glycemic control early in pregnancy (159). Pregnancy can also contribute to macular edema, which is often reversible following delivery (160).

 

Therefore, individuals with T1DM and T2DM should have an ophthalmological assessment before conception. All guidelines recommend that individuals have a comprehensive eye exam or fundus photography before pregnancy and in the first trimester. Laser photocoagulation for severe non-proliferative or proliferative retinopathy prior to pregnancy reduces the risk of vision loss in pregnancy and should be done prior to pregnancy (31). Individuals with low-risk eye disease should be followed by an ophthalmologist during pregnancy, but significant vision-threatening progression of retinopathy is rare in these individuals. For vision-threatening retinopathy, laser photocoagulation can be used during pregnancy (160). Safety of bevacizumab injections during pregnancy is not clear with some case reports of normal pregnancy after bevacizumab injections for macular edema in pregnancy, and other early pregnancy loss following bevacizumab injection. In individuals with severe untreated proliferative retinopathy, vaginal delivery with the Valsalva maneuver has been associated with retinal and vitreous hemorrhage. Little data exist to guide mode of delivery in individuals with advanced retinal disease and some experts have suggested avoiding significant Valsalva maneuvers—instead offering assisted second-stage delivery or cesarean delivery (26).

 

Diabetic Nephropathy/Chronic Kidney Disease

 

Microalbuminuria and overt nephropathy are associated with increased risk of maternal and fetal complications including HDP, preterm birth, cesarean section, congenital abnormalities, SGA, NICU admission, and perinatal mortality (152,161–164). Although proteinuria increases during pregnancy in individuals with preexisting nephropathy, those with a normal glomerular filtration rate (GFR) rarely have a permanent deterioration in renal function provided blood pressure and blood glucose are well-controlled (165–167). Those with more severe renal insufficiency (creatinine >1.5 mg/dl) have a 30-50% risk of a permanent pregnancy-related decline in GFR (168). Among pregnant individuals with diabetes, nephropathy significantly increases the risk of HDP. Factors which may contribute to worsening nephropathy in pregnancy include the hyperfiltration of pregnancy, increase in protein intake, hypertension, and withdrawal of ACE Inhibitors or ARBs. More stringent control of blood pressure in pregnancy may reduce the likelihood of increasing protein excretion and reduced GFR. In a series of 36 pregnant individuals with T1DM and nephropathy, maternal and obstetric outcomes were strongly dependent on the degree of maternal renal function (169). In normal pregnancy, urinary albumin excretion increases up to 30 mg/day and total protein excretion increases up to 300 mg/day (170). Individuals with preexisting proteinuria often have a significant progressive increase in protein excretion, frequently into the nephrotic range, in part due to the 30-50% increase in GFR that occurs during pregnancy. Prior to conception, individuals should be screened for chronic kidney disease. Dipstick methods are unreliable and random urine protein/creatinine ratios are convenient but not as accurate as other methods in pregnancy to carefully quantify proteinuria using 24-hour urine excretion. There have not been studies looking at spot urine albumin to creatinine ratio versus 24-hour urine protein assessment in pregnant individuals with diabetes. In hypertensive pregnant individuals, one study found that the spot urine albumin to creatinine ratio had higher diagnostic accuracy than 24-hour urine protein assessment (171). It is reasonable to collect a spot urine albumin to creatinine ratio in individuals who have not followed through with collection of 24-hour urine specimens.

There is conflicting information on whether first-trimester exposure to ACE inhibitors and ARBs is associated with an increased risk of congenital malformations. A meta-analysis, limited by small study size (786 exposed infants), demonstrated a significant risk ratio (relative risk [RR] 1.78, 95% confidence interval [CI] 1.07–2.94) for increased anomalies in infants exposed to first-trimester ACE inhibitors and ARBs (172). However, the increased risk of congenital anomalies appears to be more related to hypertension itself, rather than drug exposure. There was no statistically significant difference when ACE inhibitor and ARB exposed pregnancies were compared with other hypertensive pregnancies. A large cohort study of individuals with chronic hypertension including over 4100 pregnant individuals exposed to ACE inhibitors during the first trimester of pregnancy found no significant increase in major congenital anomalies (173).  Exposure in the second and third trimesters is clearly associated with a fetal renin-angiotensin system blockade syndrome, which includes anuria in the 2nd and 3rd trimester, which may be irreversible. However, one recent case report of a pregnant individuals with anhydramnios who had ARB exposure at 30 weeks’ gestation had normalization of amniotic fluid volume after cessation of the medication. Furthermore, there were no apparent renal abnormalities at birth or 2-year follow-up (174). Individuals who are taking ACE inhibitors or ARBs should be counseled that these agents are contraindicated in the 2nd and 3rd trimesters of pregnancy. Individuals who are actively trying to get pregnant should be switched to calcium channel blockers (such as nifedipine or diltiazem), methyldopa, hydralazine, or selected B-adrenergic blockers (such as labetalol).

 

Individuals who are considering pregnancy but are not likely to become pregnant in a short time and who are receiving renal protection from ACE inhibitors or ARBs due to significant underlying renal disease can be counseled to continue these agents. However, they should closely monitor their menstrual cycles and stop these agents as soon as pregnancy is confirmed.

 

Individuals with severe renal insufficiency should be counseled that their chances for a favorable obstetric outcome may be higher with a successful renal transplant. Individuals with good function of their renal allografts who have only mild hypertension, do not require high doses of immunosuppressive agents, and are 1-2 years post-transplant have a better prognosis than individuals with severe renal insufficiency and who are likely to require dialysis during pregnancy. Successful pregnancy outcomes have been reported in 89% of these individuals who underwent renal transplant (175). Timing of conception in relation to transplant is controversial and should be individualized. Pre-pregnancy graft function can help predict risk of adverse pregnancy outcomes, including HDP and graft function (176).

 

Cardiovascular Disease

 

Although infrequent, cardiovascular disease (CVD) can occur in individuals of reproductive age with diabetes. The increasing prevalence of T2DM with associated hyperlipidemia, hypertension, obesity, and advanced maternal age (>35) is further increasing the prevalence of CVD. CVD most often occurs in individuals with long-standing diabetes, hypertension, and nephropathy (177). Because of the high morbidity and mortality of coronary artery disease in pregnancy, individuals with pregestational diabetes and cardiac risk factors such as hyperlipidemia, hypertension, smoking, advanced maternal age, or a strong family history should have their cardiac status assessed with functional testing prior to conception (11,178). There are limited case reports of coronary artery disease events during pregnancy, but with the increased oxygen demand from increased cardiac output, events do occur and need to be treated similarly to outside of pregnancy, trying to minimize radiation exposure to the fetus (177,179,180).  In a recent study of 79 individuals with history of coronary artery disease prior to pregnancy, there were low rates of cardiac events during pregnancy in all individuals with and without diabetes but more frequent poor obstetric and neonatal outcomes including SGA, HDP, and preterm delivery.

 

Due to the increased cardiac output of pregnancy, decrease in systemic vascular resistance, and increase in oxygen consumption, the risk of myocardial ischemia is higher in pregnancy. Myocardial oxygen demands are even higher at labor and delivery, and activation of catecholamines and stress hormones can cause myocardial ischemia. Coronary artery dissection is also more common in pregnancy and typical chest pain should be appropriately evaluated. An electrocardiogram (EKG) should be considered preconception for any individual with diabetes older than 35 years (26). Individuals with longstanding diabetes and especially those with other risk factors for coronary artery disease (hyperlipidemia or hypertension) should be evaluated for asymptomatic coronary artery disease before becoming pregnant. Individuals with atypical chest pain, significant dyspnea, or an abnormal resting EKG should also have a cardiology consultation for consideration of a functional cardiac stress test before pregnancy. As discussed above, statins are often discontinued before conception since there is limited data about their safety during pregnancy. However, a thorough discussion of risks and benefits of continuation versus discontinuation should occur for high-risk individuals such as those with familial hypercholesterolemia and prior atherosclerotic cardiovascular disease (7,40). If an individual has severe hypertriglyceridemia with random triglycerides (TG) >1000 or fasting >400 mg/dl, placing her at high risk for pancreatitis, it may be necessary to continue fibrate therapy if a low-fat diet, fish oil, or niacin therapy is not effective or tolerated. Triglycerides typically double to quadruple in pregnancy placing individuals at high risk for this condition. There is inadequate data on the use of ezetimibe in pregnancy.

 

Neuropathy

 

There are limited data on diabetic neuropathy during pregnancy. Neuropathy may manifest as peripheral neuropathy, gastroparesis, and cardiac autonomic neuropathy. Gastroparesis may present as intractable nausea and vomiting, and it can be particularly difficult to control both the symptoms and glucose values in individuals with gastroparesis during pregnancy. For individuals with gastroparesis, timing of insulin delivery in relation to the meal needs to carefully be weighed against the risk of hypoglycemia as discussed previously.

 

Associated Autoimmune Thyroid Disease

 

Up to 30-40% of young individuals with T1DM have accompanying thyroid disease, and individuals with T1DM have a 5-10% risk of developing autoimmune thyroid disease first diagnosed in pregnancy (most commonly Hashimoto's thyroiditis) (181). Thyroid stimulating hormone (TSH) should be checked prior to pregnancy since the fetus is completely dependent on maternal thyroid hormone in the first trimester (182,183). Pregnant individuals with positive thyroid peroxidase (TPO) antibodies should have their TSH checked in each trimester (Table 2) since the demands of pregnancy can unmask decreased thyroid reserve from Hashimoto’s thyroiditis. Thyroid hormone requirements increase by 30-50% in most pregnant individuals, often early in pregnancy due to increase in thyroid binding globulin stimulated by estrogen. For most individuals on thyroid hormone replacement prior to pregnancy, the American Thyroid Association (ATA) and ACOG recommend TSH be within the trimester-specific reference range for pregnancy at a particular lab, or if not provided, preconception and first trimester TSH <2.5 mU/L and second and third trimester TSH goals <3 mU/L, and thyroid hormone replacement should be adjusted to achieve these goals (184,185). For diagnosis of hypothyroidism during pregnancy, recent recommendations from the ATA recommend new reference ranges for TSH during pregnancy and screening in individuals with history of T1DM each trimester with reference range being 0.4 from the lower limit of the nonpregnant TSH reference range and 0.5 from the upper non-pregnant range which results in a new TSH range of ~0.1-4mUl/L (184,186). This recommendation is based on the TSH range in pregnant individuals in the Maternal Fetal Medicine Units Network in which there was no benefit in treating individuals with levothyroxine with TSH <4 (184,186).

 

Other Autoimmune Conditions

 

Other autoimmune conditions are also more common among individuals with T1DM compared with individuals without T1DM. Celiac disease has been estimated to have a prevalence of 3-9% in individuals with T1DM and is more common among females than males (187,188). This can often lead to vitamin D deficiency and iron deficiency, and it is reasonable to screen individuals with T1DM for vitamin D deficiency in pregnancy if they have not been previously screened.  Autoimmune gastritis and pernicious anemia are also more common among individuals with T1DM with a prevalence approximating 5-10% and 1-3%, respectively (189). Addison’s disease is also seen in 0.5-1% of individuals with T1DM (189).

 

Diabetic Ketoacidosis in Pregnancy

 

Pregnancy predisposes to accelerated starvation with enhanced lipolysis, which can result in ketonuria after an overnight fast. DKA may therefore occur at lower glucose levels (~200 mg/dl), often referred to as "euglycemic DKA" of pregnancy, and may develop more rapidly than it does in non-pregnant individuals(190,191). Up to 30% of episodes of DKA in pregnant individuals with diabetes occur with glucose values <250 mg/dl.  Pregnant individuals also have a lower buffering capacity due to the progesterone-induced respiratory alkalosis resulting in compensatory metabolic acidosis. Furthermore, euglycemic DKA is not uncommon in pregnancy due to the increased propensity to ketosis in pregnant individuals and glomerular hyperfiltration in pregnancy which causes glycosuria at lower serum glucoses. Any pregnant individual with T1DM with a glucose >200 mg/dL, with unexplained weight loss or who is unable to keep down food or fluids should check urine ketones at home. If positive, arterial pH, serum bicarbonate level, anion gap and serum ketones should be obtained to assess for DKA (11).

 

Maternal DKA is associated with significant risk to the fetus and poor neonatal outcomes including morbidity and mortality. Cardiotography of the fetus during maternal DKA may suggest fetal distress (as evidenced by late decelerations). In a study of 20 consecutive cases of DKA, only 65% of fetuses were alive on admission to the hospital (191). Risk factors for fetal loss included DKA presenting later in pregnancy (mean gestational age 31 weeks versus 24 weeks); glucose > 800 mg/dl; BUN > 20 mg/dl; osmolality > 300 mmol/L; high insulin requirements; and longer duration until resolution of DKA. The fetal heart rate must be monitored continuously until the acidosis has resolved. In another case series of DKA in pregnancy, almost all individuals presented with nausea and vomiting (97%) and the majority had improvement of hyperglycemia to <200 mg/dL within 6 hours of admission and resolution of acidosis within 12 hours(192). Causes of DKA in pregnancy vary widely with infection less common as a precipitant compared with cases outside of pregnancy (193). Of the infectious causes, pyelonephritis is the most common. However, there is often no precipitant other than emesis in the pregnant individual who can develop starvation ketosis very quickly. In a 2024 case series of 129 admissions for DKA, the most common precipitating factors were vomiting or gastrointestinal illness (38%), infection (26%), and insulin nonadherence (21%) (194). Those with T1DM had higher serum glucoses and serum ketones on admission but those with T2DM required intravenous insulin therapy for a longer duration. Overall, those pregnant individuals with at least one admission for DKA during pregnancy delivered preterm with a median gestational age of approximately 35 weeks.

 

Prolonged fasting is a common precipitant for DKA, and it has been shown that even individuals with GDM can become severely ketotic if they are given B-mimetic tocolytic medications or betamethasone (to accelerate fetal lung maturity) in the face of prolonged fasting (195). Pregnant individuals unable to take carbohydrates orally require an additional 100-150 grams of intravenous glucose to meet the metabolic demands of the pregnancy in the 2nd and 3rd trimester. Without adequate carbohydrate (often a D10 glucose solution is needed), fat will be burned for fuel and the individual in DKA will remain ketotic. Diabetic ketoacidosis carries the highest risk of fetal mortality in the third trimester thought in part due to the extreme insulin resistance and insulin requirements to treat DKA that are nearly twice as high as in the second trimester (191).

 

Hypertensive Disorders in Pregnancy

 

Pregnant individuals with pregestational diabetes are at increased risk of complications of pregnancy secondary to hypertensive disease (11,196).  Serum creatinine, AST, ALT, and platelets as well as proteinuria (24-hour collection or random protein to creatinine ratio) should be collected as early as possible in pregnancy to establish a baseline and provide counseling on risks associated with significant proteinuria or renal failure. The updated ACC/AHA categorization of normal and abnormal blood pressure ranges outside of pregnancy have not been adopted in the obstetric population (197). Normal blood pressure values in pregnancy are defined as <140/90 mmHg; blood pressures ≥160/110 mmHg are considered severely elevated and warrant prompt treatment for maternal stroke prevention (198).

 

Although outside of pregnancy achieving a BP < 120/80 mmHg is renal-protective, there are no prospective trials that have demonstrated that achieving this goal improves pregnancy outcomes. 

 

Historically, establishing blood pressure thresholds at which treatment should be initiated in those with chronic hypertension has been challenging due to the competing interests of the mother and fetus (198,199). Concerns include the potential for relative hypotension to increase the risk for poor uteroplacental perfusion and fetal growth restriction, balanced against the increased risk of stroke, placental abruption, and preterm delivery with poorly controlled blood pressure (200–202). The 2015 international Control of Hypertension in Pregnancy Study (CHIPS) trial compared less-tight blood pressure control (target diastolic 100 mm Hg) to tight control (target diastolic 85 mm Hg) and found that tighter control was associated with lower frequency of severe hypertension (203). There was no difference in the frequency of pregnancy loss, higher level neonatal care, or severe maternal complications. The US Chronic Hypertension and Pregnancy (CHAP) trial found that titration of antihypertensive therapy to achieve a systolic pressure <140 mm Hg and diastolic pressure <90 mm Hg, compared with treatment only for systolic pressure, ≥160 mm Hg or diastolic pressure, ≥105 mm Hg, led to lower rates of adverse pregnancy outcomes without an increased risk of fetal growth restriction (204). A secondary analysis of the CHAP trial showed that those who achieved a blood pressure below 130/80 mm Hg, compared to blood pressures of 130-139/80-89 mm Hg, were at lower risk of adverse pregnancy outcomes (205).

 

Thus, among individuals with pregestational diabetes and chronic hypertension, blood pressure treatment should be continued or initiated and titrated with a goal value of ~135/85 mmHg(7,167).  A lower goal of 120/80 mmHg should be achieved in the setting of diabetic nephropathy (167). Individuals with diabetic nephropathy are at extremely high risk of developing HDP which often leads to intrauterine growth restriction and prematurity. Even individuals with microalbuminuria are at a higher risk of HDP than individuals without microalbuminuria. Blood pressure control is imperative to try to minimize the deterioration of renal function. Preferred anti-hypertensive agents in pregnancy include calcium channel blockers (nifedipine, amlodipine), select beta-blockers (labetalol), and alpha-2 agonists (methyldopa) (198). ACE inhibitors and ARBs are contraindicated in all trimesters of pregnancy and diuretics are reserved for the treatment of pulmonary edema due to concerns that further decreasing the intravascular volume with diuretics could further compromise tissue and placental perfusion. All classes of hypertensive agents are safe in lactating mothers in the postpartum period (206).

 

After 20-24 weeks gestation, elevated blood pressure should prompt evaluation for HDP.  The etiology and pathophysiology of HDP continues to be incompletely characterized, though evidence strongly suggests the microvascular disease may begin early in pregnancy at the time of implantation and manifest in the second or third trimesters (198,207). As a result, treatment of elevated blood pressure has not been shown to prevent HDP. Since 2014, the US Preventative Task Force (USPSTF) recommends low dose aspirin of 81 mg daily after 12 weeks’ gestation for those at high risk of HDP who do not have a contraindication to aspirin use (198,208,209). High risk factors, including pregestational diabetes, chronic hypertension, history of HDP, and renal disease, should prompt low-dose aspirin initiation in the second trimester; ≥2 moderate risk factors such as nulliparity, obesity, age ≥35, family history of HDP, or personal socioeconomic or poor obstetric history should also prompt use of low-dose aspirin (208,209). Recent data suggests that doses of aspirin above 100 mg may be required for HDP reduction (210,211). However, recommendations for low dose 81 mg aspirin from USPSTF and ACOG remain unchanged.

 

FETAL SURVEILLANCE

 

Maternal hyperglycemia has temporal effects on the developing pregnancy based on gestational age at exposure (6,11,212). Hyperglycemia around the time of conception and early pregnancy is associated with increased risk of miscarriage, congenital anomalies, with cardiac malformations being most common, as well as placental dysfunction related to “end-organ damage” which could lead to growth-restricted fetuses (6). An early dating ultrasound in the first trimester is recommended to confirm gestational age of the fetus and to coordinate detailed anatomic survey at 18-20 weeks gestation. A fetal echocardiogram should be offered at 20-22 weeks if the A1c was elevated (>6.5-7.0%) during the first trimester (212).

 

Later in pregnancy, hyperglycemia is associated with excessive weight gain in the fetus, with abdominal circumference and shoulder girth primarily measuring larger than expected for gestational age (213–215). Consideration can be made for serial ultrasound evaluation of fetal growth if there is suspicion of abnormal growth, though at minimum, a growth ultrasound in the third trimester should be performed (11). Serial ultrasounds are used to monitor growth and if the estimated fetal weight is less than the 10th percentile (SGA), umbilical artery Doppler velocimetry as an adjunct antenatal test is recommended to estimate the degree of uteroplacental insufficiency, predict poor obstetric outcome and assist in determining the optimal timing of delivery (216).

 

The association of pregestational diabetes and increased risk for stillbirth was documented as early as the 1950s, leading to a historical practice of intense monitoring with weekly contraction stress test and fetal lung maturity testing prior to delivery (217). Data emerged identifying congenital anomalies as a key factor in stillbirth; with increased focus on improved glycemic control in early pregnancy, stillbirth rates were reduced significantly (218,219). Contemporary practice typically consists of non-stress testing 1-2 times per week, with or without biophysical profile testing, with initiation around 32 weeks gestation (220). However, due to the increased risk of uteroplacental insufficiency and intrauterine fetal demise in pregnant individuals with longstanding T1DM, especially in those with microvascular disease, diabetic nephropathy, hypertension, or evidence of poor intrauterine growth, fetal surveillance may be recommended earlier. While comorbidities such as poor glycemic control, vascular complications, hypertension, or nephropathy have a summative effect on risk for perinatal complications, antenatal testing is recommended for all individuals with pregestational diabetes (220). A positive correlation between HbA1c and stillbirth is observed- the higher the HbA1c >6.5%, the higher the risk (221,222). Fetal hypoxia and cardiac dysfunction secondary to poor glycemic control are probably the most important pathogenic factors in stillbirths among pregnant individuals with diabetes (223).

 

LABOR AND DELIVERY

 

Delivery management and the timing of delivery is made according to maternal well-being, the degree of glycemiccontrol, the presence of diabetic complications, growth of the fetus, evidence of uteroplacental insufficiency, and the results of fetal surveillance (224). A third trimester anesthesia consultation should be considered in the setting of concerns about cardiac dysfunction or ischemic heart disease, pulmonary hypertension from sleep apnea, hypertension, thromboembolic risks, potential desaturation while laying supine in individuals with severe obesity, or the possibility of difficult epidural placement or intubations.

 

Optimal delivery timing in the setting of pregestational diabetes requires a balance of perinatal risks, typically stillbirth versus risks of prematurity. In general, individuals with reassuring fetal status and adequate glycemic control can continue a pregnancy until 39 weeks gestation, though expectant management beyond the estimated due date is not advised (225). Concurrent medical complications of mother or fetus may take precedent and require consideration for delivery prior to 39 weeks (225). When late preterm delivery is necessary, it should not be delayed for administration of corticosteroids for fetal lung maturity, as this practice has not been evaluated in pregnancies complicated by pregestational diabetes, and neonatal hypoglycemia may result (226). 

 

With regards to route of delivery, vaginal delivery is preferred for pregnant individuals with diabetes due to the increased maternal morbidity of cesarean delivery such as infection, thromboembolic disease, and longer recovery time. Nevertheless, when the estimated fetal weight is >4500g in the setting of diabetes, an elective cesarean delivery may be offered (227).

 

The target range for glycemic control during labor and at the time of delivery is 70-125 mg/dL; maintenance in this physiological range aims to reduce to risk of neonatal hypoglycemia (228). To achieve this goal, most pregnant individuals with pregestational diabetes require management with an insulin drip and a dextrose infusion, though laboring individuals can eat and continue their home insulin regimen prior to admission. Ideally scheduled cesarean deliveries will occur in the morning, so that individuals can simply reduce their morning long-acting insulin dosing by half on the day of surgery, though consideration can be made to skip it in an individual with well controlled T2DM who hadn’t required medication prior to pregnancy. A pregnant individual being admitted for scheduled induction of labor can be instructed to reduce long-acting insulin dosing for both the night before and morning of the induction (229). Once the individual is eating, the insulin drip can be discontinued and subcutaneous insulin resumed. Alternative management options include ongoing use of insulin pump or subcutaneous insulin, though both often pose logistic challenges due to the unpredictable length of labor. One 2023 trial compared intravenous insulin infusion to CSII intrapartum and found no difference in neonatal hypoglycemia (230). Prevention of neonatal hypoglycemia must be weighed against risk of maternal hypoglycemia during labor.

 

With the delivery of the placenta, insulin requirements drop in an acute and dramatic fashion, with most individualsneeding roughly 10-30% less than their pre-pregnancy insulin doses or 1/2 to 1/3 of their third trimester insulin dosages; some individuals require no insulin for the first 24-48 hours (228). A glucose goal of 100-180 mg/dl postpartum seems prudent to avoid hypoglycemia given the high demands in caring for an infant and especially in nursing individuals as the increased caloric demands of lactation are known to reduce insulin requirements and can contribute to hypoglycemia.

 

Immediate Risks to Newborn

 

The immediate neonatal period is characterized by the transition from in-utero to independent physiology, with unique risks in neonates born to individuals with diabetes.  Glycemic control throughout the entire gestation as well as in the hours before birth both influence this transition. As previously described, hyperglycemia early in pregnancy may result in congenital anomalies, such as cardiac anomalies, which complicate the transition to post-natal circulation. Glycemic control in the second and third trimester may result in a macrosomic infant with increased adiposity in the shoulders and abdomen. And finally, hyperglycemia during labor exacerbates the adjustment of the neonatal pancreas when glucose delivery via the placenta abruptly ceases increasing the risk of neonatal hypoglycemia.

 

Even with aggressive management of diabetes, the incidence of neonatal complications ranges from 12-75% (231) In a large analysis of nearly 200,000 neonates, severe neonatal morbidity was increased in neonates born to individuals with pregestational diabetes compared to those with gestational diabetes or no diabetes at an odds ratio of 2.27 and 1.96 respectively (232).  Driving this relationship was the increased risks of respiratory distress syndrome, mechanical ventilation, and neonatal death (232). Additionally, neonates were more likely to be LGA and require neonatal intensive care unit admission (232). In the setting of poor glycemic control, respiratory distress syndrome may occur in up to 31% of infants due to known insulin antagonism of cortisol on fetal pneumocytes and surfactant production (233). The estimated odds ratio between pregestational diabetes and neonatal respiratory distress syndrome is 2.66 (234). With extremely poor glucose control, there is also an increased risk of fetal mortality due to fetal acidemia and hypoxia. One study found higher rates of neonatal hypoglycemia in individuals managed with continuous insulin infusion pump during pregnancy compared to multiple daily injection therapy, although confounders including early maternal BMI and duration of an insulin infusion play a role (235).

 

Macrosomia places the mother at increased risk of requiring a cesarean section and the infant at increased risk for shoulder dystocia. Shoulder dystocia can result in Erb’s palsy, Klumpke palsy, clavicular and humeral fractures, and hypoxic ischemic encephalopathy, with overall neonatal injury rate of 5.2% (236,237). Shoulder dystocia occurs nearly 20% of the time when a 4500-gram infant is delivered vaginally. Nevertheless, shoulder dystocia remains challenging to predict, with 60% of shoulder dystocias occurring in neonates weighing <4000g (238). There are a number of conflicting studies regarding induction versus cesarean section for suspected macrosomia (239–241).  A large RCT performed in France, Switzerland, and Belgium compared induction of labor at 39 weeks gestation to expectant management among individuals with LGA fetuses, though insulin-dependent diabetes was an exclusion factor (241). Induction of labor was associated with a significant reduction in the composite primary outcome (significant shoulder dystocia, fracture of the clavicle or long bone, brachial plexus injury, intracranial hemorrhage, or neonatal death), with a RR of 0.32 (95% CI 0.15-0.71) (241). While a small but significant difference in spontaneous vaginal delivery was noted between groups, rates of operative vaginal delivery and cesarean deliveries were not significantly different (241). Current guidelines from ACOG do not recommend delivery prior to 39 weeks for suspected macrosomia (242).

 

POSTPARTUM CARE AND CONCERNS FOR PREGESTATIONAL DIABETES

 

The postpartum care for mothers with diabetes should include counseling on a number of critical issues including maintenance of glycemic control, diet, exercise, weight loss, blood pressure management, breastfeeding, contraception/future pregnancy planning, and postpartum thyroiditis screening (for T1DM). It has been demonstrated that most individuals with pregestational diabetes, even those who have been extremely adherent and who have had optimal glycemic control during pregnancy, have a dramatic worsening of their glucose control after the birth of their infant (243,244). While previously many individuals utilizing public insurance lost access as early as 6 weeks postpartum in recent years, the majority of states in the US have implemented a 12-month extension of Medicaid postpartum coverage (245). Historically, the postpartum period has been relatively neglected, as both the new mother and her physician relax their vigilance. However, this period offers a unique opportunity to institute health habits that could have highly beneficial effects on the quality of life of both the mother and her infant and potentially achieve optimal glycemic control prior to asubsequent pregnancy.

 

Home glucose monitoring should be continued vigilantly in the postpartum period because insulin requirements drop almost immediately and often dramatically at this time, increasing the risk of hypoglycemia. Individuals with T1DM often need to decrease their third trimester insulin dosages by at least 50%, often to less than pre-pregnancy doses, immediately after delivery; they may have a "honeymoon" period for several days in which their insulin requirements are minimal. Some estimates of insulin requirements postpartum suggest that individuals may require as little as 60% of their pre-pregnancy doses, and requirements continue to be less than pre- pregnancy doses while breastfeeding (246). For individuals on an insulin pump, the postpartum basal rates can be discussed and preprogrammed prior to delivery to allow a seamless transition to the lower doses following delivery (247). If well controlled prior to pregnancy, pre-pregnancy insulin delivery settings can serve as an excellent starting point for the postpartum period, with an expected decrease in basal rates of 14% and increase in carb ratios by 10% (247).

 

Individuals with T1DM have been reported to have a between 3-25% incidence of postpartum thyroiditis (248). Hyperthyroidism can occur in the 2–4-month postpartum period and hypothyroidism may present in the 4-8 month period. Given the significance of this disorder, a TSH measurement should be offered at 3 and 6 months postpartum and before this time if an individual has symptoms (184).

 

Breastfeeding

 

Both the benefits of breastfeeding- and conversely, the risks of failing to do so- are profound and well documented for both mother and child (249).  Pregestational diabetes and obesity have been identified as independent risk factors for low milk supply, raising the question whether the metabolic milieu during lactogenesis I in mid-pregnancy or during the transition to lactogenesis II and III after delivery may be contributing (250). Additional challenges emerge at the time of delivery, with considerable separation of mothers and infants due to NICU admission and treatment for prematurity, respiratory distress syndrome, and hyperglycemia (232). Dyads can be set up for success with policies and procedures that encourage antenatal colostrum collection, early initiation of pumping if unable to directly breastfeed, and ample lactation consultant support. Individuals with both T1DM and T2DM have lower rates of breastfeeding despite good intentions (251,252).  When individuals have stopped breastfeeding, most stop due to low milk supply rather than diabetes specific reasons (253).

 

When individuals with diabetes are successful in breastfeeding their infants, benefits include reduction in postpartum weight retention, reduced risk for obesity and insulin resistance in offspring (254). Conflicting data exists on the relationship between breastfeeding and the incidence of T1DM in offspring of individuals with pregestational diabetes, though breastmilk induction at the time of complementary food introduction is linked to reduced risk of islet autoimmunity and T1DM (255,256).

 

Additional considerations must be made for individuals with T2DM as they consider pharmacotherapy in the postpartum period. Insulin dosing may require adjustment in the setting of breastfeeding due to increased risk of overnight hypoglycemia (7). With respect to oral agents, acceptable levels of metformin have been identified in breastmilk, rendering it a safe medication for lactating individuals (257,258). A small study suggested that glyburide and glipizide do not appreciably cross into breast milk and may be safe (259). There are no adequate data on the use of thiazolidinediones, meglitinides, incretin therapy, GLP-1 agonists, and SGLT2 inhibitors in nursing mothers.

 

Statins should not be started if the individual is nursing due to inadequate studies in breastfeeding mothers. Individuals who are candidates for an ACE inhibitor can be started on one of these agents at this time as they have not been shown to appear significantly in breast milk (206).

 

Contraception

 

Starting at puberty, it is recommended to provide individuals with diabetes preconception counseling including discussion of options for contraceptive use based on the Medical Eligibility Criteria (MEC) according to WHO and CDC (260,261).  Counseling on contraceptive choices should be patient-centered and focused on the short- and long-term reproductive goals of the individual, taking into consideration the alternative-no contraception- and associated individualized risks of carrying a pregnancy to term. A meta-analysis found that low-income individuals with diabetes had low rates of postpartum birth control and more often were offered permanent contraception rather than reversible options (262).

 

Taken in isolation, a diagnosis of diabetes without vascular complications is compatible with all hormonal and non-hormonal contraception options: copper intrauterine device (IUD), levonorgestrel-releasing IUD, progestin implant, depo medroxyprogesterone acetate, progestin only pills, and combined estrogen-progestin methods (261). Evidence of vascular disease is a contraindication to combined hormonal contraception and depo medroxyprogesterone acetate (261). A large study recently found an overall low risk of venous thromboembolism among individuals with T1DM and T2DM (263). Concurrent conditions and habits such as poorly controlled hypertension, hypertriglyceridemia, or smoking increase the risk of venous thromboembolic events (264). Systematic reviews failed to find sufficient evidence to assess whether progestogen-only and combined contraceptives differ from non-hormonal contraceptives in diabetes control, lipid metabolism, and complications in individuals with pregestational diabetes (265,266).

 

Long-acting reversible contraception (LARC) methods lasting 3-10 years include copper and hormonal IUDs as well as progestin implants. There is no increase in pelvic inflammatory disease with the use of IUDs in individuals with well controlled T1DM or T2DM after the post-insertion period. Immediate postpartum implants and IUDs are becoming increasingly available to individuals who desire LARCs and are effective in spacing pregnancies in high-risk populations (267). For individuals who have completed childbearing and desire permanent sterilization, laparoscopic methods are safe and effective (268).

 

OBESITY IN PREGNANCY

 

Obesity alone or accompanied by T1DM, T2DM, or GDM carries significant risks to both the mother and the infant, and obesity is the leading health concern in pregnant individuals (269–271). By the most recent NHANES statistics in individuals over age 20, 57% of black individuals, 44% of Hispanic or Mexican American individuals, and 40% of white individuals are obese (272). Independent of pregestational diabetes or GDM, obesity increases the maternal risks of hypertensive disorders, MASLD, proteinuria, gall bladder disease, aspiration pneumonia, thromboembolism, sleep apnea, cardiomyopathy, and pulmonary edema (270,273). In addition, it increases the risk of induction of labor, failed induction of labor, cesarean delivery, multiple anesthesia complications, postoperative infections including endometritis, wound dehiscence, postpartum hemorrhage, venous thromboembolism, postpartum depression and lactation failure. Maternal obesity independently increases the risk of first trimester loss, stillbirth, recurrent pregnancy losses, and congenital malformations including CNS, cardiac, and gastrointestinal defects and cleft palate, shoulder dystocia, meconium aspiration, and impaired fetal growth including macrosomia. Most significantly, obesity increases the risk of perinatal mortality (269). Because so many individuals with T2DM are also obese, all of these complications increase the risk of poor pregnancy outcomes in this population. The majority (50-60%) of individuals who are overweight or obese prior to pregnancy gain more than the recommended amount of gestational weight by the Institute of Medicine (IOM) guidelines (274,275). This results in higher weight retention postpartum and higher pre-pregnancy weight for subsequent pregnancies.

 

Obesity is an independent risk factor for congenital anomaly including spina bifida, neural tube defects, cardiac defects, cleft lip and palate, and limb reduction anomalies (276). Several reports have demonstrated an association of maternal BMI with neural tube defects and possibly other congenital anomalies (277). One study concluded that for every unit increase in BMI the relative risk of a neural tube defect increased 7% (277). In addition to an increased anomaly risk with maternal obesity, it is well known that detection of fetal anomalies in the first and second trimester is reduced by 20% due to difficulty in adequate visualization in the setting of maternal obesity (278,279). There is conflicting evidence on the role of folic acid in these obesity-associated congenital anomalies (280–283).

 

Obese individuals with normal glucose tolerance on a controlled diet have higher glycemic patterns throughout the day and night by CGM compared to normal weight individuals both early and late in pregnancy (284). The glucose area under the curve (AUC) was higher in the obese individuals both early and late in pregnancy on a controlled diet as were all glycemic values throughout the day and night. The mean 1 hour postprandial glucose during late pregnancy by CGM was 115 versus 102 mg/dl in the obese and normal weight individuals respectively and the mean 2-hour postprandial values were 107 mg/dl versus 96 mg/dl, respectively, both still much lower than current therapeutic targets (<140 mg/dl at 1 hour; < 120 mg/dl at 2 hours).

 

Individuals with Class III obesity (BMI>40) have improved pregnancy outcomes if they undergo bariatric surgery before becoming pregnant given such surgery decreases insulin resistance resulting in less diabetes, hypertension, and macrosomia compared to those who have not had the surgery (285,286).  In any individual who has had prior bariatric surgery, it has been shown in systematic review to reduce the rate of gestational diabetes and HDP in future pregnancies, however many studies are confounded given 80% of individuals post bariatric surgery remain obese (287). Following bariatric surgery, pregnancy should not be considered for 12-18 months post-operatively and after the rapid weight loss phase has been completed. Close attention to nutritional deficiencies must be maintained, especially with fat soluble vitamins D and K as well as folate, iron, thiamine, and B12. In a study of a cohort of infants born to obese individuals who had bariatric surgery, the offspring had improved fasting insulin levels and reduced measures of insulin resistance compared to siblings born prior to bariatric surgery (288). 

 

MEDICAL NUTRITION THERAPY, EXERCISE AND WEIGHT GAIN RECOMMENDATIONS FOR INDIVIDUALS WITH DIABETES OR OBESITY

 

Medical nutrition therapy in collaboration with a registered dietician nutritionist remains a crucial component of achieving glycemic control and optimizing outcomes in individuals with pregestational diabetes (7,11). Currently, there is no consensus on the ideal macronutrient prescription for pregnant individuals or individuals with diabetes, and there is concern that significant restriction of carbohydrate (33- 40% of total calories) leads to increased fat intake given protein intake is usually fairly constant at 15-20% (31,289,290). Severe restrictions or elimination of any macronutrient class is advised against (291). It is also important to assess intake along with energy requirements which is known to increase in pregnancy by approximately 200, 300, and 400 kcal/d in the first, second, and third trimesters, respectively, but thesevalues vary depending on BMI, total energy expenditure, and physical activity (292). Individuals with pregestational diabetes and GDM should receive individualized medical nutrition therapy (MNT) as needed to achieve treatment goals.

 

Pregravid BMI should be assessed and GWG recommendations should be consistent with the current IOM weight gain guidelines (See Table 3) due to adverse maternal, fetal and neonatal outcomes (293). However, there are many trials which support no weight gain for individuals with a BMI of ≥30 kg/m2 with improved pregnancy outcomes and the lack of weight gain or even modest weight loss, did not increase the risk for SGA infants in the obese cohort. Further, targeting GWG to the lower range of the IOM guidelines (~11 kg or 25 lbs. for normal weight individuals; ~7 kg or 15 lbs. for overweight individuals; and 5 kg (11 lbs.) for individuals with Class 1 obesity (BMI 30-34 kg/m2) has been shown in many trials to decrease the risk of HDP, cesarean delivery, GDM, and postpartum weight retention (294).  This is an increasing public health concern given risks of excessive weight gain (greater than IOM recommendations) including cesarean deliveries, postpartum weight retention for the mother and LGA infants, macrosomia, and childhood overweight or obesity for the offspring (292). Obese individuals are at increased risk of venous thromboembolism postpartum, and this risk is augmented in those who have had a cesarean section, resulting in ACOG’s recommendation for pneumatic sequential compression devices for those who have had cesarean section (295–297). 

 

Table 3. Institute of Medicine Weight Gain Recommendations in Singleton Pregnancy

BMI

Total weight gain

(lbs.)

2nd/3rd trimester rate of weight gain

(kg/week)

Low (<19.8 kg/m2)

28-40

1.0 (1-1.3 lb./week)

Normal (19.8-26 kg/m2)

25-35

1.0 (0.8-1 lb./week)

High (>26-29 kg/m2)

15-25

0.66 (0.5-0.7 lb./week)

Obese (>29 kg/m2)

11-20

0.5 (0.4-0.6 lb./week)

 

There is also increasing evidence that overweight or obese individuals with GDM may have improved pregnancy outcomes with less need for insulin if they gain weight less than the IOM recommendations without appreciably increasing the risk of SGA (298–300). For obese individuals, ~25 kcal/kg rather than 30 kcal/kg is currently recommended (301). However, other investigators would argue for a lower caloric intake (1600-1800 calories/day), which does not appear to increase ketone production (302).

 

The recommended diet should be culturally appropriate, and individuals should consume 150-175 grams of carbohydrate (40-50% of total calories), primarily as complex carbohydrate and limit simple carbohydrates, especially those with high glycemic indices (290,303). Protein intake should be at least 71 g per day (15-30% of total calories), unless individuals have severe renal disease. Individuals should be taught to control fat intake and to limit saturated fat to <10-15% of energy intake, trans fats to the minimal amount possible, and encourage consumption of the n-3 unsaturated fatty acids that supply a DHA intake of at least 200 mg/day (25). Diets high in saturated fat have been shown to worsen insulin resistance, provide excess TGs and FFAs for fetal fat accretion, increase inflammation, and have been implicated in adverse fetal programming effects on the offspring (see risk to offspring above). A fiber intake of at least 28 g/day is advised and the use of artificial sweeteners, other than saccharin, are deemed safe in pregnancy when used in moderation (26). Overall, a diet composed of whole grains, legumes, fruits, vegetables, lean protein and healthy fats is recommended with avoidance of processed foods and sweetened foods and beverages when possible (7,303).

 

For normal weight individuals with T1DM with appropriate gestational weight gain, carbohydrate and calorie restriction is not necessary, but carbohydrates need to be appropriately covered by insulin. Emphasizing consistent timing of mealswith at least a bedtime snack to minimize hypoglycemia in proper relation to insulin doses is important.  Many individuals who dose prandial insulin based on an insulin to carbohydrate ratio are skilled at carbohydrate counting. 

 

Exercise is an important component of healthy lifestyle and is recommended in pregnancy by ACOG, the ADA, and Society of Obstetricians and Gynaecologists of Canada (30,304). The U.S. Department of Health and Human Services issued physical activity guidelines for Americans and recommend healthy pregnant and postpartum individuals receive at least 150 minutes per week of moderate-intensity aerobic activity (i.e., equivalent to brisk walking) (305).  A large meta-analysis of all RCTs on diet and physical activity, which evaluated RCTs (using diet only n=13, physical activity n=18 or both n=13) concluded that dietary therapy was more effective in decreasing excess GWG and adverse pregnancy outcomes compared to physical activity (306). However, there was data suggesting that physical activity may decrease the risk of LGA infants (LGA, >90th percentile). There was no increase in SGA infants (<10th percentile) with physical activity. Submaximal exertion (≤70% maximal aerobic activity) does not appear to affect the fetal heart rate and although high intensity at maximal exertion has not been linked to adverse pregnancy outcomes, transient fetal bradycardia and shunting of blood flow away from the placenta and to exercising muscles has been observed with maximal exertion. Observational studies of individuals who exercise during pregnancy have shown benefits such as decreased GDM, cesarean and operative vaginal delivery, and postpartum recovery time, although evidence from RCTs is limited (307,308).

 

Some data suggest that individuals who continued endurance exercise until term gained less weight and delivered slightly earlier than individuals who stopped at 28 weeks but had a lower incidence of cesarean deliveries, shorter active labors, and fewer fetuses with intolerance of labor (309). Babies weighing less were born to individuals who continued endurance exercise during pregnancy compared with a group of individuals who reduced their exercise after the 20th week (3.39 kg versus 3.81 kg). Contraindications for a controlled exercise program include individuals at risk for preterm labor or delivery or any obstetric or medical conditions predisposing to growth restriction.

 

RISK TO OFFSPRING FROM AN INTRAUTERINE ENVIRONMENT CHARACTERIZED BY DIABETES OR OBESITY

 

Given the strong associations between maternal diabetes and obesity and the risk of childhood obesity and glucose intolerance, the metabolic milieu of the intrauterine environment is a critical risk factor for the genesis of adult diabetes and cardiovascular disease (270,310–313).  The evidence of this fetal programming and its contribution to the developmental origins of human disease (DoHAD) is one of the most compelling reasons why optimizing maternal glycemic control, identifying other nutrients contributing to excess fetal fat accretion, emphasizing weight loss efforts before pregnancy, ingesting a healthy low fat diet, and avoiding excessive weight gain are so critical and carry long term health implications to both the mother and her offspring. The emerging field of epigenetics has clearly shown in animal models and non-human primates that the intrauterine environment, as a result of maternal metabolism and nutrient exposure, can modify fetal gene expression (314,315).

 

Maternal hyperglycemia in early pregnancy has been associated with childhood leptin levels at 5 years of age, even when adjusted for maternal BMI and other confounders (β=0.09 ± 0.04, p=0.03) (316). In this study, higher maternal glucose levels post-75-gram glucose tolerance test in the second trimester were associated with greater total body fat percentage as measured by DXA in the children at 5 years of age.

 

There are data, especially in animal and non-human primate models, to support that a maternal high fat diet and obesitycan influence mesenchymal stems cells to differentiate along adipocyte rather than osteocyte pathways, invoke changes in the serotonergic system resulting in increased anxiety in non-human primate offspring, affect neural pathways involved with appetite regulation, promote lipotoxicity, regulate gluconeogenic enzymes in the fetal liver generating histology consistent with MASLD, alter mitochondrial function in skeletal muscle and program beta cell mass in the pancreas (312,317–324).  These epigenetic changes are being substantiated in human studies with evidence of differential adipokine methylation and gene expression in adult offspring of individuals with diabetes in pregnancy and through alterations in fetal placental DNA methylation of the lipoprotein lipase gene which are associated with the anthropometric profile in children at 5 years of age (325). These findings further support the concept of fetal metabolic programming through epigenetic changes (326). As a result, the intrauterine metabolic environment may have a transgenerational influence on obesity and diabetes risk in the offspring, influencing appetite regulation, beta cell mass, liver dysfunction, adipocyte metabolism, and mitochondrial function.

 

Offspring of mothers with T2DM and GDM have higher risk of childhood obesity, young adult or adolescent insulin resistance and diabetes, MASLD, hypertension, and cardiovascular disease (327–332) . The risk of youth onset diabetes is higher in offspring of mothers born with pregestational T2DM than with GDM (14-fold compared to 4-fold risk) (333). These epigenetic changes are not isolated to maternal BMI alone, but it has also been demonstrated that paternal factors impact offspring risk of obesity and diabetes (334,335). Offspring of individuals with T1DM have a risk of developing T1DM of about 1-3%. The risk is higher for the offspring if the father has T1DM rather than the mother (~3-6%) and if both parents have T1DM, the risk is ~20% (336,337).

 

CONCLUSION

 

The obstetric outlook for pregnancy in individuals with pregestational diabetes has improved over the last century and has the potential to continue to improve as rapid advances in diabetes technology and management, fetal surveillance, and neonatal care emerge. However, the greatest challenge health care providers face is the growing number of individuals developing GDM and T2DM as the obesity epidemic increases affecting individuals prior to pregnancy. In addition, the prevalence of T1DM is increasing globally. Furthermore, obesity-related complications exert a further deleterious effect on pregnancy outcomes. The development of T2DM in individuals with a history of GDM as well as obesity and glucose intolerance in the offspring of individuals with pregestational DM or GDM set the stage for a perpetuating cycle that must be aggressively addressed with effective primary prevention strategies that begin in-utero. Pregnancy is clearly a unique opportunity to implement strategies to improve the mother’s lifetime risk for CVD in addition to that of her offspring and offers the potential to decrease the intergenerational risk of obesity, diabetes, and other metabolic derangements.

 

REFERENCES

 

  1. Louis JM, Bryant A, Ramos D, Stuebe A, Blackwell SC. Interpregnancy Care. Am J Obstet Gynecol 2019;220(1):B2–B18.
  2. Practice AS for RM& AC of O and GC on G. Prepregnancy counseling: Committee Opinion No. 762. Fertil Steril 2019;111(1):P32-42.
  3. Buschur EO, Polsky S. Type 1 Diabetes: Management in Women From Preconception to Postpartum. J Clin Endocrinol Metab 2021;106(4):952–967.
  4. Wahabi HA, Fayed A, Esmaeil S, Elmorshedy H, Titi MA, Amer YS, Alzeidan RA, Alodhayani AA, Saeed E, Bahkali KH, Kahili-Heede MK, Jamal A, Sabr Y. Systematic review and meta-analysis of the effectiveness of pre-pregnancy care for women with diabetes for improving maternal and perinatal outcomes. PLoS One 2020:1–32.
  5. Temple R. Preconception care for women with diabetes: Is it effective and who should provide it? Best Pract Res Clin Obstet Gynaecol 2011;25(1):3–14.
  6. Ray JG, O’brien TE, Chan WS. Preconception care and the risk of congenital anomalies in the offspring of women with diabetes mellitus: A meta-analysis. QJM 2001;94(8):435–444.
  7. ElSayed NA, McCoy RG, Aleppo G, Balapattabi K, Beverly EA, Briggs Early K, Bruemmer D, Echouffo-Tcheugui JB, Ekhlaspour L, Garg R, Khunti K, Lal R, Lingvay I, Matfin G, Pandya N, Pekas EJ, Pilla SJ, Polsky S, Segal AR, Seley JJ, Stanton RC, Bannuru RR. 15. Management of Diabetes in Pregnancy: Standards of Care in Diabetes—2025. Diabetes Care 2025;48(Supplement_1):S306–S320.
  8. Suhonen L, Hiilesmaa V, Teramo K. Glycaemic control during early pregnancy and fetal malformations in women with type I diabetes mellitus. Diabetologia 2000;43(1):79–82.
  9. Ludvigsson JF, Neovius M, Söderling J, Gudbjörnsdottir S, Svensson AM, Franzén S, Stephansson O, Pasternak B. Periconception glycaemic control in women with type 1 diabetes and risk of major birth defects: Population based cohort study in Sweden. BMJ (Online) 2018;362(26):k2638.
  10. Jovanovic L, Knopp RH, Kim H, Cefalu WT, Zhu XD, Young JL, Simpson JL, Mills JL. Elevated pregnancy losses at high and low extremes of maternal glucose in early normal and diabetic pregnancy: Evidence for a protective adaptation in diabetes. Diabetes Care 2005;28(5):1113–1117.
  11. ACOG Practice Bulletin No. 201: Pregestational Diabetes Mellitus. Obstetrics and Gynecology 2018;132(6):E228–E248.
  12. Bramham K, Parnell B, Nelson-Piercy C, Seed PT, Poston L, Chappell LC. Chronic hypertension and pregnancy outcomes: Systematic review and meta-analysis. BMJ (Online) 2014:348:g2301.
  13. Gonzalez Suarez ML, Kattah A, Grande JP, Garovic V. Renal Disorders in Pregnancy: Core Curriculum 2019. American Journal of Kidney Diseases 2019;73(1):119–130.
  14. Holing E V. Preconception care of women with diabetes: The unrevealed obstacles. Journal of Maternal-Fetal and Neonatal Medicine 2000;9(1):10–13.
  15. Reidenbach M, Bade L, Bright D, DiPietro Mager N, Ellis A. Preconception care needs among female patients of childbearing age in an urban community pharmacy setting. Journal of the American Pharmacists Association 2019;59(4S):S52–S56.
  16. Nwolise CH, Carey N, Shawe J. Exploring the acceptability and feasibility of a preconception and diabetes information app for women with pregestational diabetes: A mixed-methods study protocol. Digit Health 2017;3:1–11.
  17. Hernandez TL, Friedman JE, Van Pelt RE, Barbour LA. Patterns of glycemia in normal pregnancy: Should the current therapeutic targets be challenged? Diabetes Care 2011;34(7). doi:10.2337/dc11-0241.
  18. Siegmund T, Rad NT, Ritterath C, Siebert G, Henrich W, Buhling KJ. Longitudinal changes in the continuous glucose profile measured by the CGMS ® in healthy pregnant women and determination of cut-off values. European Journal of Obstetrics and Gynecology and Reproductive Biology 2008;139(1). doi:10.1016/j.ejogrb.2007.12.006.
  19. Angueira AR, Ludvik AE, Reddy TE, Wicksteed B, Lowe WL, Layden BT. New insights into gestational glucose metabolism: Lessons learned from 21st century approaches. Diabetes 2015;64(2). doi:10.2337/db14-0877.
  20. Price SA, Lewin A, Nankervis A, Barmanray R. Using continuous glucose monitoring (CGM) to understand glucose control in women with obesity during pregnancy. Clin Obes 2024. doi:10.1111/COB.12717.
  21. Yang J, Cummings EA, O’Connell C, Jangaard K. Fetal and neonatal outcomes of diabetic pregnancies. Obstetrics and Gynecology 2006;108(3). doi:10.1097/01.AOG.0000231688.08263.47.
  22. Temple RC, Aldridge VJ, Murphy HR. Prepregnancy care and pregnancy outcomes in women with type 1 diabetes. Diabetes Care 2006;29(8). doi:10.2337/dc05-2265.
  23. Wu Y, Liu B, Sun Y, Du Y, Santillan MK, Santillan DA, Snetselaar LG, Bao W. Association of Maternal Prepregnancy Diabetes and Gestational Diabetes Mellitus With Congenital Anomalies of the Newborn. Diabetes Care 2020;43(12):2983–2990.
  24. Inkster ME, Fahey TP, Donnan PT, Leese GP, Mires GJ, Murphy DJ. Poor glycated haemoglobin control and adverse pregnancy outcomes in type 1 and type 2 diabetes mellitus: Systematic review of observational studies. BMC Pregnancy Childbirth 2006;6. doi:10.1186/1471-2393-6-30.
  25. Makrides M. Is there a dietary requirement for DHA in pregnancy? Prostaglandins Leukot Essent Fatty Acids 2009;81(2–3). doi:10.1016/j.plefa.2009.05.005.
  26. Kitzmiller JL, Block JM, Brown FM, Catalano PM, Conway DL, Coustan DR, Gunderson EP, Herman WH, Hoffman LD, Inturrisi M, Jovanovic LB, Kjos SI, Knopp RH, Montoro MN, Ogata ES, Paramsothy P, Reader DM, Rosenn BM, Thomas AM, Kirkman MS. Managing preexisting diabetes for pregnancy: Summary of evidence and consensus recommendations for care. Diabetes Care 2008;31(5). doi:10.2337/dc08-9020.
  27. Martin RB, Duryea EL, Ambia A, Ragsdale A, McIntire D, Wells CE, Spong CY, Dashe JS, Nelson DB. Congenital Malformation Risk According to Hemoglobin A1c Values in a Contemporary Cohort with Pregestational Diabetes. Am J Perinatol 2021;38(12):1217–1222.
  28. Tennant PWG, Glinianaia S V., Bilous RW, Rankin J, Bell R. Pre-existing diabetes, maternal glycated haemoglobin, and the risks of fetal and infant death: A population-based study. Diabetologia 2014;57(2). doi:10.1007/s00125-013-3108-5.
  29. Clement NS, Abul A, Farrelly R, Murphy HR, Forbes K, Simpson NAB, Scott EM. Pregnancy Outcomes in Type 2 Diabetes: a systematic review and meta-analysis. Am J Obstet Gynecol 2024. doi:10.1016/J.AJOG.2024.11.026.
  30. American Diabetes Association. 2. Classification and diagnosis of diabetes: Standards of medical care in diabetes-2021. Diabetes Care 2021;44(Supplement 1):S15–S33.
  31. Committee on Practice Bulletins—Obstetrics. ACOG Practice Bulletin No. 190: Gestational Diabetes Mellitus. Obstetrics and gynecology 2018;131(2):e49–e64.
  32. Zabihi S, Loeken MR. Understanding diabetic teratogenesis: where are we now and where are we going? Birth Defects Res A Clin Mol Teratol 2010;88(10). doi:10.1002/bdra.20704.
  33. Dheen S, Tay S, Boran J, Ting L, Kumar S, Fu J, Ling E-A. Recent Studies on Neural Tube Defects in Embryos of Diabetic Pregnancy: An Overview. Curr Med Chem 2009;16(18). doi:10.2174/092986709788453069.
  34. Gonzalez-Gonzalez NL, Ramirez O, Mozas J, Melchor J, Armas H, Garcia-Hernandez JA, Caballero A, Hernandez M, Diaz-Gomez MN, Jimenez A, Parache J, Bartha JL. Factors influencing pregnancy outcome in women with type 2 versus type 1 diabetes mellitus. Acta Obstet Gynecol Scand 2008;87(1). doi:10.1080/00016340701778732.
  35. Kazmin A, Garcia-Bournissen F, Koren G. Motherisk Rounds: Risks of Statin Use During Pregnancy: A Systematic Review. Journal of Obstetrics and Gynaecology Canada 2007;29(11). doi:10.1016/S1701-2163(16)32656-1.
  36. Cudmore M, Ahmad S, Al-Ani B, Fujisawa T, Coxall H, Chudasama K, Devey LR, Wigmore SJ, Abbas A, Hewett PW, Ahmed A. Negative regulation of soluble Flt-1 and soluble endoglin release by heme oxygenase-1. Circulation 2007;115(13). doi:10.1161/CIRCULATIONAHA.106.660134.
  37. Costantine MM, Cleary K. Pravastatin for the prevention of preeclampsia in high-risk pregnant women. Obstetrics and Gynecology 2013;121(2 PART 1). doi:10.1097/AOG.0b013e31827d8ad5.
  38. Costantine MM, Tamayo E, Lu F, Bytautiene E, Longo M, Hankins GDV, Saade GR. Using pravastatin to improve the vascular reactivity in a mouse model of soluble Fms-like tyrosine kinase-1-induced preeclampsia. Obstetrics and Gynecology 2010;116(1). doi:10.1097/AOG.0b013e3181e10ebd.
  39. Costantine MM, West H, Wisner KL, Caritis S, Clark S, Venkataramanan R, Stika CS, Rytting E, Wang X, Ahmed MS, Welch E, Snodgrass W, Nanovskaya T, Patrikeeva S, Saade G, Hankins G, Pinheiro E, O’Shea K, Cattan M, Mesches G, Ciolino J, George AL, Fischer D, DeAngeles D, Ren Z. A randomized pilot clinical trial of pravastatin versus placebo in pregnant patients at high risk of preeclampsia. Am J Obstet Gynecol 2021;225(6):666.e1-666.e15.
  40. Agarwala A, Dixon DL, Gianos E, Kirkpatrick CF, Michos ED, Satish P, Birtcher KK, Braun LT, Pillai P, Watson K, Wild R, Mehta LS. Dyslipidemia management in women of reproductive potential: An Expert Clinical Consensus from the National Lipid Association. J Clin Lipidol 2024;18(5). doi:10.1016/J.JACL.2024.05.005.
  41. Barbour LA, McCurdy CE, Hernandez TL, Kirwan JP, Catalano PM, Friedman JE. Cellular mechanisms for insulin resistance in normal pregnancy and gestational diabetes. Diabetes Care 2007;30(SUPPL. 2):S112–S119.
  42. García-Patterson A, Gich I, Amini SB, Catalano PM, De Leiva A, Corcoy R. Insulin requirements throughout pregnancy in women with type 1 diabetes mellitus: Three changes of direction. Diabetologia 2010;53(3). doi:10.1007/s00125-009-1633-z.
  43. de Veciana M. Diabetes ketoacidosis in pregnancy. Semin Perinatol 2013;37(4):267–273.
  44. Lain KY, Catalano PM. Metabolic changes in pregnancy. Clin Obstet Gynecol 2007;50(4):938–948.
  45. Diderholm B, Stridsberg M, Ewald U, Lindeberg-Nordén S, Gustafsson J. Increased lipolysis in non-obese pregnant women studied in the third trimester. BJOG 2005;112(6). doi:10.1111/j.1471-0528.2004.00534.x.
  46. Catalano PM, Huston L, Amini SB, Kalhan SC. Longitudinal changes in glucose metabolism during pregnancy in obese women with normal glucose tolerance and gestational diabetes mellitus. Am J Obstet Gynecol 1999;180(4):903–916.
  47. Centers for Disease Control and Prevention UD of H and HS. National Diabetes Statistics Report, 2017. Estimates of Diabetes and Its Burden in the United States Background. Division of Diabetes Translation 2017. doi:10.2196/jmir.9515.
  48. CDC. National Diabetes Statistics Report 2020. Estimates of diabetes and its burden in the United States.; 2020.
  49. Selvin E, Parrinello CM, Sacks DB, Coresh J. Trends in prevalence and control of diabetes in the United States, 1988-1994 and 1999-2010. Ann Intern Med 2014;160(8). doi:10.7326/M13-2411.
  50. Gregory ECW, Ely DM. Trends and Characteristics in Gestational Diabetes: United States, 2016–2020. National Vital Statistics Reports 2022;71(3):1–14.
  51. Macintosh MCM, Fleming KM, Bailey JA, Doyle P, Modder J, Acolet D, Golightly S, Miller A. Perinatal mortality and congenital anomalies in babies of women with type 1 or type 2 diabetes in England, Wales, and Northern Ireland: Population based study. Br Med J 2006;333(7560). doi:10.1136/bmj.38856.692986.AE.
  52. Cormier CM, Martinez CA, Refuerzo JS, Monga M, Ramin SM, Saade G, Blackwell SC. White’s classification of diabetes in pregnancy in the 21st century: Is it still valid? Am J Perinatol 2010;27(5). doi:10.1055/s-0029-1243307.
  53. Cundy TIM, Gamble G, Neale L, Elder R, McPherson P, Henley P, Rowan J. Differing causes of pregnancy loss in type 1 and type 2 diabetes. Diabetes Care 2007;30(10). doi:10.2337/dc07-0555.
  54. Paglia MJ, Coustan DR. The use of oral antidiabetic medications in gestational diabetes mellitus. Curr Diab Rep 2009;9(4). doi:10.1007/s11892-009-0044-3.
  55. Gutzin SJ, Kozer E, Magee LA, Feig DS, Koren G. The safety of oral hypoglycemic agents in the first trimester of pregnancy: A meta-analysis. Canadian Journal of Clinical Pharmacology 2003;10(4).
  56. Lautatzis ME, Goulis DG, Vrontakis M. Efficacy and safety of metformin during pregnancy in women with gestational diabetes mellitus or polycystic ovary syndrome: A systematic review. Metabolism 2013;62(11). doi:10.1016/j.metabol.2013.06.006.
  57. Ainuddin JA, Karim N, Zaheer S, Ali SS, Hasan AA. Metformin treatment in type 2 diabetes in pregnancy: An active controlled, parallel-group, randomized, open label study in patients with type 2 diabetes in pregnancy. J Diabetes Res 2015;2015. doi:10.1155/2015/325851.
  58. Refuerzo JS, Gowen R, Pedroza C, Hutchinson M, Blackwell SC, Ramin S. A pilot randomized, controlled trial of metformin versus insulin in women with type 2 diabetes mellitus during pregnancy. Am J Perinatol 2015;30(2). doi:10.1055/s-0034-1378144.
  59. Boggess KA, Valint A, Refuerzo JS, Zork N, Battarbee AN, Eichelberger K, Ramos GA, Olson G, Durnwald C, Landon MB, Aagaard KM, Wallace K, Scifres C, Rosen T, Mulla W, Valent A, Longo S, Young L, Marquis MA, Thomas S, Britt A, Berry D. Metformin Plus Insulin for Preexisting Diabetes or Gestational Diabetes in Early Pregnancy: The MOMPOD Randomized Clinical Trial. JAMA 2023;330(22):2182–2190.
  60. Feig DS, Donovan LE, Zinman B, Sanchez JJ, Asztalos E, Ryan EA, Fantus GI, Hutton E, Armson AB, Lipscombe LL, Simmons D, Barrett JFR, Karanicolas PJ, Tobin S, McIntyre HD, Tian SY, Tomlinson G, Murphy KE, Donat D, Gandhi S, Cleave B, Zhou V, Viguiliouk E, Fong D, Strom M, Deans M, Kamath A, Godbout A, Weber F, Mahone M, Wo BL, Bedard MJ, Robinson M, Daigle S, Leblanc S, Ludwig S, Pockett S, Slater L, Oldford C, Young C, Virtanen H, Lodha A, Cooper S, Yamamoto J, Gougeon C, Verhesen C, Zahedi A, Taha N, Turner M, Neculau M, Robb C, Szwiega K, Lee G, Rey E, Perreault S, Coolen J, Ransom T, Dias R, Slaunwhite J, Baxendale D, Fanning C, Halperin I, Gale V, Kader T, Hirsimaki H, Long H, Lambert J, Castonguay A, Chalifoux S, McManus R, Watson M, Powell AM, Sultana M, ArthurHayward V, Marin M, Cauchi L, MacBean L, Keely E, Malcolm J, Clark H, Karovitch A, Belanger H, Champagne J, Schutt K, Sloan J, Mitchell J, Favreau C, O’Shea E, McGuire D, Peng M, St Omer D, Lee J, Klinke J, Young S, Barts A, Carr F, Subrt P, Miller D, Coles K, Capes S, Smushkin G, Phillips R, Fergusson C, Lacerte S, Houlden R, Breen A, Stone-Hope B, Kwong S, Rylance H, Khurana R, McNab T, Beauchamp S, Weisnagel SJ, D’Amours M, Allen C, Dubé MC, Julien VÈ, Lambert C, Bourbonniere MC, Rheaume L, Bouchard M, Carson G, Williams S, Wolfs M, Berger H, Cheng A, Ray J, Hanna A, De Souza L, Berndl L, Meltzer S, Garfield N, El-Messidi A, Bastien L, Segal S, Thompson D, Lim K, Kong J, Thompson S, Orr C, Galway B, Parsons M, Rideout K, Rowe B, Crane J, Andrews W, Joyce C, Newstead-Angel J, Brandt J, Meier S, Laurie J, Liley H, Fox J, Barrett H, Maguire F, Nerdal-Bussell M, Nie W, Bergan C, Cavallaro B, Tremellen A, Cook A, Rajagopal R, Vizza L, Mattick M, Bishop C, Nema J, Kludas R, McLean M, Hendon S, Sigmund A, Wong V, Lata P, Russell H, Singh R, McMurray K, Karanicolas P, Murphy H, Sanchez J, Klein G, Tian S, Mangoff K. Metformin in women with type 2 diabetes in pregnancy (MiTy): a multicentre, international, randomised, placebo-controlled trial. Lancet Diabetes Endocrinol 2020;8(10):834–844.
  61. Rowan JA, Rush EC, Plank LD, Lu J, Obolonkin V, Coat S, Hague WM. Metformin in gestational diabetes: the offspring follow-up (MiG TOFU): body composition and metabolic outcomes at 7-9 years of age. BMJ Open Diabetes Res Care 2018;6(1). doi:10.1136/BMJDRC-2017-000456.
  62. Feig DS, Sanchez JJ, Murphy KE, Asztalos E, Zinman B, Simmons D, Haqq AM, Fantus IG, Lipscombe L, Armson A, Barrett J, Donovan L, Karanicolas P, Tobin S, Mangoff K, Klein G, Jiang Y, Tomlinson G, Hamilton J, Galper A, Cleave B, Strom M, Poolman K, Fong D, Viguiliouk E, Legault L, Boutin L, Ho J, Virtanen H, Zahedi A, Szwiega K, Coolen J, Dias R, Sellers E, Fletcher B, Bourrier L, Haqq A, Rylance H, Hadjiyannakis S, Courtney J, McManus R, Halperin I, Miller D, Coles K, Simmons D, Nema J, Weisnagel SJ, Dubé MC, Chanoine JP, Kwan J, McIntyre HD, Laurie J, Maguire F, Soper J, Bridger T, Houlden R, Breen A, McLean M, Duke A, Hendon S, Sigmund A. Outcomes in children of women with type 2 diabetes exposed to metformin versus placebo during pregnancy (MiTy Kids): a 24-month follow-up of the MiTy randomised controlled trial. Lancet Diabetes Endocrinol 2023;11(3):191–202.
  63. Legro RS, Barnhart HX, Schlaff WD, Carr BR, Diamond MP, Carson SA, Steinkampf MP, Coutifaris C, McGovern PG, Cataldo NA, Gosman GG, Nestler JE, Giudice LC, Leppert PC, Myers ER. Clomiphene, metformin, or both for infertility in the polycystic ovary syndrome. N Engl J Med 2007;356(6):551–566.
  64. Palomba S, Orio F, Falbo A, Manguso F, Russo T, Cascella T, Tolino A, Carmina E, Colao A, Zullo F. Prospective parallel randomized, double-blind, double-dummy controlled clinical trial comparing clomiphene citrate and metformin as the first-line treatment for ovulation induction in nonobese anovulatory women with polycystic ovary syndrome. J Clin Endocrinol Metab 2005;90(7):4068–4074.
  65. Vanky E, Stridsklev S, Heimstad R, Romundstad P, Skogøy K, Kleggetveit O, Hjelle S, Von Brandis P, Eikeland T, Flo K, Berg KF, Bunford G, Lund A, Bjerke C, Almås I, Berg AH, Danielson A, Lahmami G, Carlsen SM. Metformin versus placebo from first trimester to delivery in polycystic ovary syndrome: a randomized, controlled multicenter study. J Clin Endocrinol Metab 2010;95(12). doi:10.1210/JC.2010-0853.
  66. Consensus on infertility treatment related to polycystic ovary syndrome. Fertil Steril 2008;89(3):505–522.
  67. Balsells M, García-Patterson A, Solà I, Roqué M, Gich I, Corcoy R. Glibenclamide, metformin, and insulin for the treatment of gestational diabetes: a systematic review and meta-analysis. BMJ 2015;350. doi:10.1136/BMJ.H102.
  68. Balsells M, García-Patterson A, Solà I, Roqué M, Gich I, Corcoy R. Glibenclamide, metformin, and insulin for the treatment of gestational diabetes: a systematic review and meta-analysis. BMJ 2015;350. doi:10.1136/BMJ.H102.
  69. Tarry-Adkins JL, Aiken CE, Ozanne SE. Comparative impact of pharmacological treatments for gestational diabetes on neonatal anthropometry independent of maternal glycaemic control: A systematic review and meta-analysis. PLoS Med 2020;17(5). doi:10.1371/JOURNAL.PMED.1003126.
  70. Muller DRP, Stenvers DJ, Malekzadeh A, Holleman F, Painter RC, Siegelaar SE. Effects of GLP-1 agonists and SGLT2 inhibitors during pregnancy and lactation on offspring outcomes: a systematic review of the evidence. Front Endocrinol (Lausanne) 2023;14. doi:10.3389/FENDO.2023.1215356.
  71. Cesta CE, Rotem R, Bateman BT, Chodick G, Cohen JM, Furu K, Gissler M, Huybrechts KF, Kjerpeseth LJ, Leinonen MK, Pazzagli L, Zoega H, Seely EW, Patorno E, Hernández-Díaz S. Safety of GLP-1 Receptor Agonists and Other Second-Line Antidiabetics in Early Pregnancy. JAMA Intern Med 2024;184(2):144–152.
  72. Watanabe JH, Kwon J, Nan B, Reikes A. Trends in glucagon-like peptide 1 receptor agonist use, 2014 to 2022. J Am Pharm Assoc (2003) 2024;64(1):133–138.
  73. DRUMMOND RF, SEIF KE, REECE EA. Glucagon-like peptide-1 receptor agonist use in pregnancy: a review. Am J Obstet Gynecol 2025;232(1). doi:10.1016/J.AJOG.2024.08.024.
  74. Hinnen D. Glucagon-Like Peptide 1 Receptor Agonists for Type 2 Diabetes. Diabetes Spectr 2017;30(3):202–210.
  75. A Q, TJ W, D K, C H, MJ B, MA F, N F, K B, C B, LL H, A I, J L, M M, R M, R M, J T. Hemoglobin A1c Targets for Glycemic Control With Pharmacologic Therapy for Nonpregnant Adults With Type 2 Diabetes Mellitus: A Guidance Statement Update From the American College of Physicians. Ann Intern Med 2018;168(8):569–576.
  76. Marx N, Husain M, Lehrke M, Verma infodh, Sattar N. GLP-1 Receptor Agonists for the Reduction of Atherosclerotic Cardiovascular Risk in Patients With Type 2 Diabetes. Circulation 2022;146(24):1882–1894.
  77. Garcia-Flores V, Romero R, Miller D, Xu Y, Done B, Veerapaneni C, Leng Y, Arenas-Hernandez M, Khan N, Panaitescu B, Hassan SS, Alvarez-Salas LM, Gomez-Lopez N. Inflammation-Induced Adverse Pregnancy and Neonatal Outcomes Can Be Improved by the Immunomodulatory Peptide Exendin-4. Front Immunol 2018;9(JUN). doi:10.3389/FIMMU.2018.01291.
  78. Dao K, Shechtman S, Weber-Schoendorfer C, Diav-Citrin O, Murad RH, Berlin M, Hazan A, Richardson JL, Eleftheriou G, Rousson V, Diezi L, Haefliger D, Simões-Wüst AP, Addor MC, Baud D, Lamine F, Panchaud A, Buclin T, Girardin FR, Winterfeld U. Use of GLP1 receptor agonists in early pregnancy and reproductive safety: a multicentre, observational, prospective cohort study based on the databases of six Teratology Information Services. BMJ Open 2024;14(4). doi:10.1136/BMJOPEN-2023-083550.
  79. Suffecool K, Rosenn B, Niederkofler EE, Kiernan UA, Foroutan J, Antwi K, Ribar A, Bapat P, Koren G. Insulin detemir does not cross the human placenta. Diabetes Care 2015;38(2):e20–e21.
  80. Pollex EK, Feig DS, Lubetsky A, Yip PM, Koren G. Insulin glargine safety in pregnancy: a transplacental transfer study. Diabetes Care 2010;33(1):29–33.
  81. Holcberg G, Tsadkin-Tamir M, Sapir O, Wiznizer A, Segal D, Polachek H, Zvi Z Ben. Transfer of insulin lispro across the human placenta. European Journal of Obstetrics and Gynecology and Reproductive Biology 2004;115(1):117–118.
  82. ElSayed NA, McCoy RG, Aleppo G, Bajaj M, Balapattabi K, Beverly EA, Briggs Early K, Bruemmer D, Echouffo-Tcheugui JB, Ekhlaspour L, Gaglia JL, Garg R, Girotra M, Khunti K, Lal R, Lingvay I, Matfin G, Neumiller JJ, Pandya N, Pekas EJ, Pilla SJ, Polsky S, Segal AR, Seley JJ, Stanton RC, Bannuru RR. 9. Pharmacologic Approaches to Glycemic Treatment: Standards of Care in Diabetes-2025. Diabetes Care 2025;48(Supplement_1):S181–S206.
  83. Lepercq J, Lin J, Hall GC, Wang E, Dain M-P, Riddle MC, Home PD. Meta-Analysis of Maternal and Neonatal Outcomes Associated with the Use of Insulin Glargine versus NPH Insulin during Pregnancy. Obstet Gynecol Int 2012;2012. doi:10.1155/2012/649070.
  84. Pollex E, Moretti ME, Koren G, Feig DS. Safety of insulin glargine use in pregnancy: a systematic review and meta-analysis. Ann Pharmacother 2011;45(1):9–16.
  85. Mathieu C, Gillard P, Benhalima K. Insulin analogues in type 1 diabetes mellitus: getting better all the time. Nat Rev Endocrinol 2017;13(7):385–399.
  86. Mathiesen ER, Hod M, Ivanisevic M, Garcia SD, Brøndsted L, Jovanovič L, Damm P, McCance DR. Maternal efficacy and safety outcomes in a randomized, controlled trial comparing insulin detemir with NPH insulin in 310 pregnant women with type 1 diabetes. Diabetes Care 2012;35(10). doi:10.2337/dc11-2264.
  87. Hod M, Mathiesen ER, Jovanovič L, McCance DR, Ivanisevic M, Durán-Garcia S, Brondsted L, Nazeri A, Damm P. A randomized trial comparing perinatal outcomes using insulin detemir or neutral protamine Hagedorn in type 1 diabetes. Journal of Maternal-Fetal and Neonatal Medicine 2014;27(1). doi:10.3109/14767058.2013.799650.
  88. Fishel Bartal M, Ward C, Blackwell SC, Ashby Cornthwaite JA, Zhang C, Refuerzo JS, Pedroza C, Lee KH, Chauhan SP, Sibai BM. Detemir vs neutral protamine Hagedorn insulin for diabetes mellitus in pregnancy: a comparative effectiveness, randomized controlled trial. Am J Obstet Gynecol 2021;225(1):87.e1-87.e10.
  89. Mathiesen ER, Alibegovic AC, Corcoy R, Dunne F, Feig DS, Hod M, Jia T, Kalyanam B, Kar S, Kautzky-Willer A, Marchesini C, Rea RD, Damm P. Insulin degludec versus insulin detemir, both in combination with insulin aspart, in the treatment of pregnant women with type 1 diabetes (EXPECT): an open label, multinational, randomised, controlled, non-inferiority trial. Lancet Diabetes Endocrinol 2023;11(2):86–95.
  90. Gabbe SG, Carpenter LB, Garrison EA. New strategies for glucose control in patients with type 1 and type 2 diabetes mellitus in pregnancy. Clin Obstet Gynecol 2007;50(4). doi:10.1097/GRF.0b013e31815a6435.
  91. Hod M, Damm P, Kaaja R, Visser GHA, Dunne F, Demidova I, Hansen ASP, Mersebach H. Fetal and perinatal outcomes in type 1 diabetes pregnancy: a randomized study comparing insulin aspart with human insulin in 322 subjects. Am J Obstet Gynecol 2008;198(2). doi:10.1016/j.ajog.2007.08.005.
  92. Mathiesen ER, Kinsley B, Amiel SA, Heller S, McCance D, Duran S, Bellaire S, Raben A. Maternal glycemic control and hypoglycemia in type 1 diabetic pregnancy: A randomized trial of insulin aspart versus human insulin in 322 pregnant women. Diabetes Care 2007;30(4). doi:10.2337/dc06-1887.
  93. Murphy HR, Elleri D, Allen JM, Harris J, Simmons D, Rayman G, Temple RC, Umpleby AM, Dunger DB, Haidar A, Nodale M, Wilinska ME, Hovorka R. Pathophysiology of postprandial hyperglycaemia in women with type 1 diabetes during pregnancy. Diabetologia 2012;55(2). doi:10.1007/s00125-011-2363-6.
  94. Valent AM, Barbour LA. Insulin Management for Gestational and Type 2 Diabetes in Pregnancy. Obstetrics and gynecology 2024;144(5). doi:10.1097/AOG.0000000000005640.
  95. Benhalima K, Beunen K, Siegelaar SE, Painter R, Murphy HR, Feig DS, Donovan LE, Polsky S, Buschur E, Levy CJ, Kudva YC, Battelino T, Ringholm L, Mathiesen ER, Mathieu C. Management of type 1 diabetes in pregnancy: update on lifestyle, pharmacological treatment, and novel technologies for achieving glycaemic targets. Lancet Diabetes Endocrinol 2023;11(7):490–508.
  96. Nørgaard SK, Søholm JC, Mathiesen ER, Nørgaard K, Clausen TD, Holmager P, Do NC, Damm P, Ringholm L. Faster-acting insulin aspart versus insulin aspart in the treatment of type 1 or type 2 diabetes during pregnancy and post-delivery (CopenFast): an open-label, single-centre, randomised controlled trial. Lancet Diabetes Endocrinol 2023;11(11):811–821.
  97. Hadar E, Stewart ZA, Hod M, Murphy HR. Technology and Pregnancy. Diabetes Technol Ther 2017;19(S1). doi:10.1089/dia.2017.2508.
  98. Kallas-Koeman MM, Kong JM, Klinke JA, Butalia S, Lodha AK, Lim KI, Duan QM, Donovan LE. Insulin pump use in pregnancy is associated with lower HbA1c without increasing the rate of severe hypoglycaemia or diabetic ketoacidosis in women with type 1 diabetes. Diabetologia 2014;57(4). doi:10.1007/s00125-014-3163-6.
  99. Feig DS, Corcoy R, Donovan LE, Murphy KE, Barrett JFR, Johanna Sanchez J, Wysocki T, Ruedy K, Kollman C, Tomlinson G, Murphy HR. Pumps or Multiple Daily Injections in Pregnancy Involving Type 1 Diabetes: A Prespecified Analysis of the CONCEPTT Randomized Trial. Diabetes Care 2018;41(12):2471–2479.
  100. Kekäläinen P, Juuti M, Walle T, Laatikainen T. Continuous Subcutaneous Insulin Infusion during Pregnancy in Women with Complicated Type 1 Diabetes is Associated with Better Glycemic Control but Not with Improvement in Pregnancy Outcomes. Diabetes Technol Ther 2016;18(3). doi:10.1089/dia.2015.0165.
  101. Gabbe SG, Holing E, Temple P. Benefits, risks, costs, and patient satisfaction associated with insulin pump therapy for the pregnancy complicated by type 1 diabetes mellitus. Am J Obstet Gynecol 2000;182(6). doi:10.1067/mob.2000.106182.
  102. Farrar D, Tuffnell DJ, West J, West HM. Continuous subcutaneous insulin infusion versus multiple daily injections of insulin for pregnant women with diabetes. Cochrane Database Syst Rev 2016;(6). doi:10.1002/14651858.CD005542.pub3.
  103. Mathiesen JM, Secher AL, Ringholm L, Norgaard K, Hommel E, Andersen HU, Damm P, Mathiesen ER. Changes in basal rates and bolus calculator settings in insulin pumps during pregnancy in women with type 1 diabetes. J Matern Fetal Neonatal Med 2014;27(7):724–728.
  104. Abell SK, Suen M, Pease A, Boyle JA, Soldatos G, Regan J, Wallace EM, Teede HJ. Pregnancy Outcomes and Insulin Requirements in Women with Type 1 Diabetes Treated with Continuous Subcutaneous Insulin Infusion and Multiple Daily Injections: Cohort Study. Diabetes Technol Ther 2017;19(5):280–287.
  105. Castorino K, Paband R, Zisser H, Jovanovič L. Insulin pumps in pregnancy: using technology to achieve normoglycemia in women with diabetes. Curr Diab Rep 2012;12(1):53–59.
  106. Mukhopadhyay A, Farrell T, Fraser RB, Ola B. Continuous subcutaneous insulin infusion vs intensive conventional insulin therapy in pregnant diabetic women: a systematic review and metaanalysis of randomized, controlled trials. Am J Obstet Gynecol 2007;197(5). doi:10.1016/j.ajog.2007.03.062.
  107. Mathiesen JM, Secher AL, Ringholm L, Norgaard K, Hommel E, Andersen HU, Damm P, Mathiesen ER. Changes in basal rates and bolus calculator settings in insulin pumps during pregnancy in women with type 1 diabetes. Journal of Maternal-Fetal and Neonatal Medicine 2014;27(7). doi:10.3109/14767058.2013.837444.
  108. Qiu L, Weng J, Zheng X, Luo S, Yang D, Xu W, Cai M, Xu F, Yan J, Yao B. Insulin dose analysis during pregnancy in type 1 diabetic patients treated with insulin pump therapy. National Medical Journal of China 2017;97(8). doi:10.3760/cma.j.issn.0376.2491.2017.08.004.
  109. Nally LM, Blanchette JE. Integrated Strategies to Support Diabetes Technology in Pregnancy. Obstetrics and gynecology 2024;144(5). doi:10.1097/AOG.0000000000005710.
  110. Kravarusic J, Aleppo G. Diabetes Technology Use in Adults with Type 1 and Type 2 Diabetes. Endocrinol Metab Clin North Am 2020;49(1):37–55.
  111. Ebekozien O, Mungmode A, Sanchez J, Rompicherla S, Demeterco-Berggren C, Weinstock RS, Jacobsen LM, Davis G, McKee A, Akturk HK, Maahs DM, Kamboj MK. Longitudinal Trends in Glycemic Outcomes and Technology Use for Over 48,000 People with Type 1 Diabetes (2016-2022) from the T1D Exchange Quality Improvement Collaborative. Diabetes Technol Ther 2023;25(11):765–773.
  112. Lee TTM, Collett C, Bergford S, Hartnell S, Scott EM, Lindsay RS, Hunt KF, McCance DR, Barnard-Kelly K, Rankin D, Lawton J, Reynolds RM, Flanagan E, Hammond M, Shepstone L, Wilinska ME, Sibayan J, Kollman C, Beck R, Hovorka R, Murphy HR. Automated Insulin Delivery in Women with Pregnancy Complicated by Type 1 Diabetes. N Engl J Med 2023;389(17):1566–1578.
  113. Benhalima K, Beunen K, Van Wilder N, Ballaux D, Vanhaverbeke G, Taes Y, Aers XP, Nobels F, Marlier J, Lee D, Cuypers J, Preumont V, Siegelaar SE, Painter RC, Laenen A, Gillard P, Mathieu C. Comparing advanced hybrid closed loop therapy and standard insulin therapy in pregnant women with type 1 diabetes (CRISTAL): a parallel-group, open-label, randomised controlled trial. Lancet Diabetes Endocrinol 2024;12(6):390–403.
  114. Polsky S, Buschur E, Dungan K, Garcetti R, Nease E, Malecha E, Bartholomew A, Johnson C, Pyle L, Snell-Bergeon J. Randomized Trial of Assisted Hybrid Closed-Loop Therapy Versus Sensor-Augmented Pump Therapy in Pregnancy. Diabetes Technol Ther 2024;26(8):547–555.
  115. Study Details | Pregnancy Intervention With a Closed-Loop System (PICLS) Study | ClinicalTrials.gov. Available at: https://clinicaltrials.gov/study/NCT03774186. Accessed December 18, 2024.
  116. Closed-loop Insulin Delivery In Type 1 Diabetes Pregnancies (CIRCUIT) | ClinicalTrials.gov. Available at: https://clinicaltrials.gov/study/NCT04902378. Accessed December 18, 2024.
  117. Wang XS, Dunlop AD, McKeen JA, Feig DS, Donovan LE. Real-world use of Control-IQTM technology automated insulin delivery in pregnancy: A case series with qualitative interviews. Diabet Med 2023;40(6). doi:10.1111/DME.15086.
  118. Waikar AR, Arora T, Haynes M, Tamborlane W V., Nally LM. Case Report: Managing Pregnancy With Type 1 Diabetes Using a Do-It-Yourself Artificial Pancreas System. Clin Diabetes 2021;39(4):441–444.
  119. Morrison AE, Chong K, Senior PA, Lam A. A scoping review of Do-It-Yourself Automated Insulin Delivery system (DIY AID) use in people with type 1 diabetes. PLoS One 2022;17(8). doi:10.1371/JOURNAL.PONE.0271096.
  120. Lawton J, Kimbell B, Closs M, Hartnell S, Lee TTM, Dover AR, Reynolds RM, Collett C, Barnard-Kelly K, Hovorka R, Rankin D, Murphy HR. Listening to Women: Experiences of Using Closed-Loop in Type 1 Diabetes Pregnancy. Diabetes Technol Ther 2023;25(12):845–855.
  121. Farrington C, Stewart Z, Hovorka R, Murphy H. Women’s Experiences of Day-and-Night Closed-Loop Insulin Delivery During Type 1 Diabetes Pregnancy. J Diabetes Sci Technol 2018;12(6):1125–1131.
  122. Farrington C, Stewart ZA, Barnard K, Hovorka R, Murphy HR. Experiences of closed-loop insulin delivery among pregnant women with Type 1 diabetes. Diabet Med 2017;34(10):1461–1469.
  123. Lawton J, Rankin D, Hartnell S, Lee T, Dover AR, Reynolds RM, Hovorka R, Murphy HR, Hart RI. Healthcare professionals’ views about how pregnant women can benefit from using a closed-loop system: Qualitative study. Diabet Med 2023;40(5). doi:10.1111/DME.15072.
  124. Manderson JG, Patterson CC, Hadden DR, Traub AI, Ennis C, McCance DR. Preprandial versus postprandial blood glucose monitoring in type 1 diabetic pregnancy: a randomized controlled clinical trial. Am J Obstet Gynecol 2003;189(2). doi:10.1067/S0002-9378(03)00497-6.
  125. Jovanovic L, Knopp RH, Brown Z, Conley MR, Park E, Mills JL, Metzger BE, Aarons JH, Holmes LB, Simpson JL. Declining insulin requirement in the late first trimester of diabetic pregnancy. Diabetes Care 2001;24(7). doi:10.2337/diacare.24.7.1130.
  126. Rosenn BM, Miodovnik M, Holcberg G, Khoury JC, Siddiqi TA. Hypoglycemia: The price of intensive insulin therapy for pregnant women with insulin-dependent diabetes mellitus. Obstetrics and Gynecology 1995;85(3). doi:10.1016/0029-7844(94)00415-A.
  127. Rosenn BM, Miodovnik M, Khoury JC, Siddiqi TA. Counterregulatory hormonal responses to hypoglycemia during pregnancy. Obstetrics and Gynecology 1996;87(4). doi:10.1016/0029-7844(95)00495-5.
  128. Björklund A, Adamson U, Andréasson K, Carlström K, Hennen G, Igout A, Lins PE, Westgren M. Hormonal counterregulation and subjective symptoms during induced hypoglycemia in insulin-dependent diabetes mellitus patients during and after pregnancy. Acta Obstet Gynecol Scand 1998;77(6). doi:10.1034/j.1600-0412.1998.770609.x.
  129. Heller S, Damm P, Mersebach H, Skjøth TV, Kaaja R, Hod M, Durán-García S, McCance D, Mathiesen ER. Hypoglycemia in type 1 diabetic pregnancy: Role of preconception insulin aspart treatment in a randomized study. Diabetes Care 2010;33(3). doi:10.2337/dc09-1605.
  130. Negrato CA, Rafacho A, Negrato G, Teixeira MF, Araújo CAR, Vieira L, Silva CA, Date SK, Demarchi AC, Gomes MB. Glargine vs. NPH insulin therapy in pregnancies complicated by diabetes: An observational cohort study. Diabetes Res Clin Pract 2010;89(1). doi:10.1016/j.diabres.2010.03.015.
  131. Gómez AM, Marín Carrillo LF, Arévalo Correa CM, Muñoz Velandia OM, Rondón Sepúlveda MA, Silva Herrera JL, Henao Carrillo DC. Maternal-Fetal Outcomes in 34 Pregnant Women with Type 1 Diabetes in Sensor-Augmented Insulin Pump Therapy. Diabetes Technol Ther 2017;19(7). doi:10.1089/dia.2017.0030.
  132. Stewart ZA, Wilinska ME, Hartnell S, Temple RC, Rayman G, Stanley KP, Simmons D, Law GR, Scott EM, Hovorka R, Murphy HR. Closed-Loop Insulin Delivery during Pregnancy in Women with Type 1 Diabetes. New England Journal of Medicine 2016;375(7). doi:10.1056/nejmoa1602494.
  133. Murphy HR, Rayman G, Duffield K, Lewis KS, Kelly S, Johal B, Fowler D, Temple RC. Changes in the glycemic profiles of women with type 1 and type 2 diabetes during pregnancy. Diabetes Care 2007;30(11):2785–2791.
  134. Ter Braak EWMT, Evers IM, Erkelens DW, Visser GHA. Maternal hypoglycemia during pregnancy in type 1 diabetes: Maternal and fetal consequences. Diabetes Metab Res Rev 2002;18(2). doi:10.1002/dmrr.271.
  135. Ringholm L, Secher AL, Pedersen-Bjergaard U, Thorsteinsson B, Andersen HU, Damm P, Mathiesen ER. The incidence of severe hypoglycaemia in pregnant women with type 1 diabetes mellitus can be reduced with unchanged HbA1c levels and pregnancy outcomes in a routine care setting. Diabetes Res Clin Pract 2013;101(2). doi:10.1016/j.diabres.2013.06.002.
  136. de Veciana M, Major CA, Morgan MA, Asrat T, Toohey JS, Lien JM, Evans AT. Postprandial versus Preprandial Blood Glucose Monitoring in Women with Gestational Diabetes Mellitus Requiring Insulin Therapy. New England Journal of Medicine 1995;333(19):1237–1241.
  137. Jovanovic-Peterson L, Peterson CM, Reed GF, Metzger BE, Mills JL, Knopp RH, Aarons JH. Maternal postprandial glucose levels and infant birth weight: the Diabetes in Early Pregnancy Study. The National Institute of Child Health and Human Development--Diabetes in Early Pregnancy Study. Am J Obstet Gynecol 1991;164(1 Pt 1).
  138. Murphy HR, Rayman G, Lewis K, Kelly S, Johal B, Duffield K, Fowler D, Campbell PJ, Temple RC. Effectiveness of continuous glucose monitoring in pregnant women with diabetes: Randomised clinical trial. BMJ 2008;337(7675):907–910.
  139. Feig DS, Donovan LE, Corcoy R, Murphy KE, Amiel SA, Hunt KF, Asztalos E, Barrett JFR, Sanchez JJ, de Leiva A, Hod M, Jovanovic L, Keely E, McManus R, Hutton EK, Meek CL, Stewart ZA, Wysocki T, O’Brien R, Ruedy K, Kollman C, Tomlinson G, Murphy HR, Grisoni J, Byrne C, Davenport K, Neoh S, Gougeon C, Oldford C, Young C, Green L, Rossi B, Rogers H, Cleave B, Strom M, Adelantado JM, Isabel Chico A, Tundidor D, Malcolm J, Henry K, Morris D, Rayman G, Fowler D, Mitchell S, Rosier J, Temple R, Turner J, Canciani G, Hewapathirana N, Piper L, Kudirka A, Watson M, Bonomo M, Pintaudi B, Bertuzzi F, Daniela G, Mion E, Lowe J, Halperin I, Rogowsky A, Adib S, Lindsay R, Carty D, Crawford I, Mackenzie F, McSorley T, Booth J, McInnes N, Smith A, Stanton I, Tazzeo T, Weisnagel J, Mansell P, Jones N, Babington G, Spick D, MacDougall M, Chilton S, Cutts T, Perkins M, Scott E, Endersby D, Dover A, Dougherty F, Johnston S, Heller S, Novodorsky P, Hudson S, Nisbet C, Ransom T, Coolen J, Baxendale D, Holt R, Forbes J, Martin N, Walbridge F, Dunne F, Conway S, Egan A, Kirwin C, Maresh M, Kearney G, Morris J, Quinn S, Bilous R, Mukhtar R, Godbout A, Daigle S, Lubina A, Jackson M, Paul E, Taylor J, Houlden R, Breen A, Banerjee A, Brackenridge A, Briley A, Reid A, Singh C, Newstead-Angel J, Baxter J, Philip S, Chlost M, Murray L, Castorino K, Frase D, Lou O, Pragnell M. Continuous glucose monitoring in pregnant women with type 1 diabetes (CONCEPTT): a multicentre international randomised controlled trial. The Lancet 2017. doi:10.1016/S0140-6736(17)32400-5.
  140. Law GR, Gilthorpe MS, Secher AL, Temple R, Bilous R, Mathiesen ER, Murphy HR, Scott EM. Translating HbA1c measurements into estimated average glucose values in pregnant women with diabetes. Diabetologia 2017;60(4):618–624.
  141. Sanusi AA, Xue Y, McIlwraith C, Howard H, Brocato BE, Casey B, Szychowski JM, Battarbee AN. Association of Continuous Glucose Monitoring Metrics With Pregnancy Outcomes in Patients With Preexisting Diabetes. Diabetes Care 2024;47(1):89–96.
  142. Kristensen K, Ögge LE, Sengpiel V, Kjölhede K, Dotevall A, Elfvin A, Knop FK, Wiberg N, Katsarou A, Shaat N, Kristensen L, Berntorp K. Continuous glucose monitoring in pregnant women with type 1 diabetes: an observational cohort study of 186 pregnancies. Diabetologia 2019;62(7):1143–1153.
  143. Murphy HR, Rayman G, Lewis K, Kelly S, Johal B, Duffield K, Fowler D, Campbell PJ, Temple RC. Effectiveness of continuous glucose monitoring in pregnant women with diabetes: randomised clinical trial. BMJ 2008;337(7675):907–910.
  144. Secher AL, Ringholm L, Andersen HU, Damm P, Mathiesen ER. The effect of real-time continuous glucose monitoring in pregnant women with diabetes: a randomized controlled trial. Diabetes Care 2013;36(7):1877–1883.
  145. Voormolen DN, DeVries JH, Sanson RME, Heringa MP, de Valk HW, Kok M, van Loon AJ, Hoogenberg K, Bekedam DJ, Brouwer TCB, Porath M, Erdtsieck RJ, NijBijvank B, Kip H, van der Heijden OWH, Elving LD, Hermsen BB, Potter van Loon BJ, Rijnders RJP, Jansen HJ, Langenveld J, Akerboom BMC, Kiewiet RM, Naaktgeboren CA, Mol BWJ, Franx A, Evers IM. Continuous glucose monitoring during diabetic pregnancy (GlucoMOMS): A multicentre randomized controlled trial. Diabetes Obes Metab 2018;20(8):1894–1902.
  146. Murphy H, Scott E, Collett C. Continuous glucose monitoring amongst pregnant women with early-onset type 2 diabetes. https://www.isrctn.com/ISRCTN12804317.
  147. Venkatesh KK, Joseph JJ, Swoboda C, Strouse R, Hoseus J, Baker C, Summerfield T, Bartholomew A, Buccilla L, Pan X, Sieck C, McAlearney AS, Huerta TR, Fareed N. Multicomponent provider-patient intervention to improve glycaemic control in Medicaid-insured pregnant individuals with type 2 diabetes: clinical trial protocol for the ACHIEVE study. BMJ Open 2023;13(5). doi:10.1136/BMJOPEN-2023-074657.
  148. Battelino T, Danne T, Bergenstal RM, Amiel SA, Beck R, Biester T, Bosi E, Buckingham BA, Cefalu WT, Close KL, Cobelli C, Dassau E, Hans DeVries J, Donaghue KC, Dovc K, Doyle FJ, Garg S, Grunberger G, Heller S, Heinemann L, Hirsch IB, Hovorka R, Jia W, Kordonouri O, Kovatchev B, Kowalski A, Laffel L, Levine B, Mayorov A, Mathieu C, Murphy HR, Nimri R, Nørgaard K, Parkin CG, Renard E, Rodbard D, Saboo B, Schatz D, Stoner K, Urakami T, Weinzimer SA, Phillip M. Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range. Diabetes Care 2019;42(8):1593–1603.
  149. Finneran MM, Kiefer MK, Ware CA, Buschur EO, Thung SF, Landon MB, Gabbe SG. The use of longitudinal hemoglobin A1c values to predict adverse obstetric and neonatal outcomes in pregnancies complicated by pregestational diabetes. Am J Obstet Gynecol MFM 2020;2(1). doi:10.1016/J.AJOGMF.2019.100069.
  150. Mosca A, Paleari R, Dalfrà MG, Di Cianni G, Cuccuru I, Pellegrini G, Malloggi L, Bonomo M, Granata S, Ceriotti F, Castiglioni MT, Songini M, Tocco G, Masin M, Plebani M, Lapolla A. Reference intervals for hemoglobin A1c in pregnant women: data from an Italian multicenter study. Clin Chem 2006;52(6):1138–1143.
  151. Nielsen LR, Ekbom P, Damm P, Glümer C, Frandsen MM, Jensen DM, Mathiesen ER. HbA1c levels are significantly lower in early and late pregnancy. Diabetes Care 2004;27(5):1200–1201.
  152. Relph S, Patel T, Delaney L, Sobhy S, Thangaratinam S. Adverse pregnancy outcomes in women with diabetes-related microvascular disease and risks of disease progression in pregnancy: A systematic review and meta-analysis. PLoS Med 2021;18(11). doi:10.1371/JOURNAL.PMED.1003856.
  153. Widyaputri F, Rogers S, Lim L. Global Estimates of Diabetic Retinopathy Prevalence and Progression in Pregnant Individuals With Preexisting Diabetes: A Meta-analysis. JAMA Ophthalmol 2022;140(11):1137–1138.
  154. Rahman W, Rahman FZ, Yassin S, Al-Suleiman SA, Rahman J. Progression of retinopathy during pregnancy in type 1 diabetes mellitus. Clin Exp Ophthalmol 2007;35(3). doi:10.1111/j.1442-9071.2006.01413.x.
  155. Chew EY, Mills JL, Metzger BE, Remaley NA, Jovanovic-Peterson L, Knopp RH, Conley M, Rand L, Simpson JL, Holmes LB. Metabolic control and progression of retinopathy. The Diabetes in Early Pregnancy Study. National Institute of Child Health and Human Development Diabetes in Early Pregnancy Study. Diabetes Care 1995;18(5).
  156. Temple RC, Aldridge VA, Sampson MJ, Greenwood RH, Heyburn PJ, Glenn A. Impact of pregnancy on the progression of diabetic retinopathy in Type 1 diabetes. Diabetic Medicine 2001;18(7). doi:10.1046/j.1464-5491.2001.00535.x.
  157. Egan AM, McVicker L, Heerey A, Carmody L, Harney F, Dunne FP. Diabetic retinopathy in pregnancy: A population-based study of women with pregestational diabetes. J Diabetes Res 2015;2015. doi:10.1155/2015/310239.
  158. Toda J, Kato S, Sanaka M, Kitano S. The effect of pregnancy on the progression of diabetic retinopathy. Jpn J Ophthalmol 2016;60(6). doi:10.1007/s10384-016-0464-y.
  159. Ringholm L, Vestgaard M, Laugesen CS, Juul A, Damm P, Mathiesen ER. Pregnancy-induced increase in circulating IGF-I is associated with progression of diabetic retinopathy in women with type 1 diabetes. Growth Hormone and IGF Research 2011;21(1). doi:10.1016/j.ghir.2010.12.001.
  160. Vestgaard M, Ringholm L, Laugesen CS, Rasmussen KL, Damm P, Mathiesen ER. Pregnancy-induced sight-threatening diabetic retinopathy in women with Type 1 diabetes. Diabetic Medicine 2010;27(4). doi:10.1111/j.1464-5491.2010.02958.x.
  161. Ekbom P, Damm P, Feldt-Rasmussen B, Feldt-Rasmussen U, Molvig J, Mathiesen ER. Pregnancy Outcome in Type 1 Diabetic Women With Microalbuminuria. Diabetes Care 2001;24(10). doi:10.2337/diacare.24.10.1739.
  162. Dunne FP, Chowdhury TA, Hartland A, Smith T, Brydon PA, McConkey C, Nicholson HO. Pregnancy outcome in women with insulin-dependent diabetes mellitus complicated by nephropathy. QJM 1999;92(8). doi:10.1093/qjmed/92.8.451.
  163. Rossing K, Jacobsen P, Hommel E, Mathiesen E, Svenningsen A, Rossing P, Parving HH. Pregnancy and progression of diabetic nephropathy. Diabetologia 2002;45(1). doi:10.1007/s125-002-8242-4.
  164. Jensen DM, Damm P, Ovesen PER, Mølsted-Pedersen L, Beck-Nielsen H, Westergaard JG, Moeller M, Mathiesen ER. Microalbuminuria, preeclampsia, and preterm delivery in pregnant women with type 1 diabetes: Results from a nationwide Danish study. Diabetes Care 2010;33(1). doi:10.2337/dc09-1219.
  165. Reece EA, Leguizamon G, Homko C. Stringent controls in diabetic nephropathy associated with optimization of pregnancy outcomes. J Matern Fetal Med 1998;7(4). doi:10.1002/(sici)1520-6661(199807/08)7:4<213::aid-mfm11>3.0.co;2-e.
  166. Leguizamon G, Reece EA. Effect of medical therapy on progressive nephropathy: Influence of pregnancy, diabetes and hypertension. Journal of Maternal-Fetal and Neonatal Medicine 2000;9(1). doi:10.3109/14767050009020517.
  167. Ringholm Nielsen L, Damm P, Mathiesen ER. Improved Pregnancy Outcome in Type 1 Diabetic Women With Microalbuminuria or Diabetic Nephropathy: Effect of intensified antihypertensive therapy? Diabetes Care 2009;32(1):38–44.
  168. Gordon M, Landon MB, Samuels P, Hissrich S, Gabbe SG. Perinatal outcome and long-term follow-up associated with modern management of diabetic nephropathy. Obstetrics and Gynecology 1996;87(3). doi:10.1016/0029-7844(95)00420-3.
  169. Kimmerle R, Za RP, Cupisti S, Somville T, Bender R, Pawlowski B, Berger M. Pregnancies in women with diabetic nephropathy: long-term outcome for mother and child. Diabetologia 1995;38(2). doi:10.1007/BF00400099.
  170. Kattah A, Milic N, White W, Garovic V. Spot urine protein measurements in normotensive pregnancies, pregnancies with isolated proteinuria and preeclampsia. Am J Physiol Regul Integr Comp Physiol 2017;313(4):R418–R424.
  171. Waugh J, Hooper R, Lamb E, Robson S, Shennan A, Milne F, Price C, Thangaratinam S, Berdunov V, Bingham J. Spot protein-creatinine ratio and spot albumin-creatinine ratio in the assessment of pre-eclampsia: A diagnostic accuracy study with decision-analytic model-based economic evaluation and acceptability analysis. Health Technol Assess (Rockv) 2017;21(61). doi:10.3310/hta21610.
  172. Li DK, Yang C, Andrade S, Tavares V, Ferber JR. Maternal exposure to angiotensin converting enzyme inhibitors in the first trimester and risk of malformations in offspring: A retrospective cohort study. BMJ (Online) 2011;343(7829). doi:10.1136/bmj.d5931.
  173. Bateman BT, Patorno E, Desai RJ, Seely EW, Mogun H, Dejene SZ, Fischer MA, Friedman AM, Hernandez-Diaz S, Huybrechts KF. Angiotensin-Converting Enzyme Inhibitors and the Risk of Congenital Malformations. In: Obstetrics and Gynecology.Vol 129.; 2017. doi:10.1097/AOG.0000000000001775.
  174. Saar T, Levitt L, Amsalem H. Reversible Fetal Renal Impairment following Angiotensin Receptor Blocking Treatment during Third Trimester of Pregnancy: Case Report and Review of the Literature. Case Rep Obstet Gynecol 2016;2016. doi:10.1155/2016/2382031.
  175. Bar J, Ben-Rafael Z, Padoa A, Orvieto R, Boner G, Hod M. Prediction of pregnancy outcome in subgroups of women with renal disease. Clin Nephrol 2000;53(6). doi:10.1097/00006254-200103000-00004.
  176. Mohammadi FA, Borg M, Gulyani A, McDonald SP, Jesudason S. Pregnancy outcomes and impact of pregnancy on graft function in women after kidney transplantation. Clin Transplant 2017;31(10). doi:10.1111/ctr.13089.
  177. Gordon MC, Landon MB, Boyle J, Stewart KS, Gabbe SG. Coronary artery disease in insulin-dependent diabetes mellitus of pregnancy (class H): A review of the literature. Obstet Gynecol Surv 1996;51(7). doi:10.1097/00006254-199607000-00023.
  178. Jones TB, Savasan ZA, Johnson Q, Bahado-Singh R. Management of Pregnant Patients with Diabetes with Ischemic Heart Disease. Clin Lab Med 2013;33(2). doi:10.1016/j.cll.2013.03.020.
  179. Wilson JD, Moore G. Successful Pregnancy in the Didmoad Syndrome (Diabetes Insipidus, Diabetes Mellitus, Optic Atrophy, Deafness). Australian and New Zealand Journal of Obstetrics and Gynaecology 1995;35(1). doi:10.1111/j.1479-828X.1995.tb01844.x.
  180. Pombar X, Strassner HT, Penner PC. Pregnancy in a woman with class H diabetes mellitus and previous coronary artery bypass graft: A case report and review of the literature. Obstetrics and Gynecology 1995;85(5). doi:10.1016/0029-7844(94)00440-O.
  181. Umpierrez GE, Latif KA, Murphy MB, Lambeth HC, Stentz F, Bush A, Kitabchi AE. Thyroid dysfunction in patients with type 1 diabetes: A longitudinal study. Diabetes Care 2003;26(4). doi:10.2337/diacare.26.4.1181.
  182. De Groot L, Abalovich M, Alexander EK, Amino N, Barbour L, Cobin RH, Eastman CJ, Lazarus JH, Luton D, Mandel SJ, Mestman J, Rovet J, Sullivan S. Management of thyroid dysfunction during pregnancy and postpartum: An endocrine society clinical practice guideline. Journal of Clinical Endocrinology and Metabolism 2012;97(8). doi:10.1210/jc.2011-2803.
  183. Stagnaro-Green A, Abalovich M, Alexander E, Azizi F, Mestman J, Negro R, Nixon A, Pearce EN, Soldin OP, Sullivan S, Wiersinga W. Guidelines of the American Thyroid Association for the Diagnosis and Management of Thyroid Disease During Pregnancy and Postpartum. Thyroid 2011;21(10). doi:10.1089/thy.2011.0087.
  184. Alexander EK, Pearce EN, Brent GA, Brown RS, Chen H, Dosiou C, Grobman WA, Laurberg P, Lazarus JH, Mandel SJ, Peeters RP, Sullivan S. 2017 Guidelines of the American Thyroid Association for the Diagnosis and Management of Thyroid Disease during Pregnancy and the Postpartum. Thyroid 2017;27(3):315–389.
  185. ACOG Practice Bulletin, Number 223: Thyroid Disease in Pregnancy: Obstetrics and gynecology 2020;135(6). doi:10.1097/AOG.0000000000003893.
  186. Casey BM, Thom EA, Peaceman AM, Varner MW, Sorokin Y, Hirtz DG, Reddy UM, Wapner RJ, Thorp JM, Saade G, Tita ATN, Rouse DJ, Sibai B, Iams JD, Mercer BM, Tolosa J, Caritis SN, VanDorsten JP. Treatment of Subclinical Hypothyroidism or Hypothyroxinemia in Pregnancy. New England Journal of Medicine 2017;376(9). doi:10.1056/nejmoa1606205.
  187. Pham-Short A, Donaghue KC, Ambler G, Phelan H, Twigg S, Craig ME. Screening for celiac disease in type 1 diabetes: A systematic review. Pediatrics 2015;136(1). doi:10.1542/peds.2014-2883.
  188. Craig ME, Prinz N, Boyle CT, Campbell FM, Jones TW, Hofer SE, Simmons JH, Holman N, Tham E, Fröhlich-Reiterer E, DuBose S, Thornton H, King B, Maahs DM, Holl RW, Warner JT. Prevalence of celiac disease in 52,721 youth with type-1 diabetes: International comparison across three continents. Diabetes Care 2017;40:1034-1040. Diabetes Care 2017;40(11). doi:10.2337/dci17-0040.
  189. Kahaly GJ, Hansen MP. Type 1 diabetes associated autoimmunity. Autoimmun Rev 2016;15(7). doi:10.1016/j.autrev.2016.02.017.
  190. Parker JA, Conway DL. Diabetic ketoacidosis in pregnancy. Obstetrics and Gynecology Clinics 2007;34(3):533–543.
  191. Montoro MN, Myers VP, Mestman JH, Yunhua X, Anderson BG, Golde SH. Outcome of Pregnancy in Diabetic Ketoacidosis. Am J Perinatol 1993;10(1). doi:10.1055/s-2007-994692.
  192. Bryant SN, Herrera CL, Nelson DB, Cunningham FG. Diabetic ketoacidosis complicating pregnancy. J Neonatal Perinatal Med 2017;10(1). doi:10.3233/NPM-1663.
  193. Rodgers BD, Rodgers DE. Clinical variables associated with diabetic ketoacidosis during pregnancy. Journal of Reproductive Medicine for the Obstetrician and Gynecologist 1991;36(11).
  194. Grasch JL, Lammers S, Scaglia Drusini F, Vickery SS, Venkatesh KK, Thung S, McKiever ME, Landon MB, Gabbe S. Clinical Presentation and Outcomes of Diabetic Ketoacidosis in Pregnancy. Obstetrics and gynecology 2024;144(5). doi:10.1097/AOG.0000000000005666.
  195. Mahoney CA. Extreme Gestational Starvation Ketoacidosis: Case Report and Review of Pathophysiology. American Journal of Kidney Diseases 1992;20(3). doi:10.1016/S0272-6386(12)80701-3.
  196. Colatrella A, Loguercio V, Mattei L, Trappolini M, Festa C, Stoppo M, Napoli A. Hypertension in diabetic pregnancy: Impact and long-term outlook. Best Pract Res Clin Endocrinol Metab 2010;24(4):635–651.
  197. Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Pr. J Am Coll Cardiol 2018;71(19):e127–e248.
  198. Committee on Practice Bulletins—Obstetrics. Gestational Hypertension and Preeclampsia: ACOG Practice Bulletin, Number 222. Obstetrics and gynecology 2020;135(6):e237–e260.
  199. Nabhan AF, Elsedawy MM. Tight control of mild-moderate pre-existing or non-proteinuric gestational hypertension. Cochrane Database of Systematic Reviews 2011;(7):1465–1858.
  200. ACOG. Screening for Hepatitis C Infection. Practice Advisory 2020. Available at: https://www.acog.org/clinical/clinical-guidance/practice-advisory/articles/2020/04/screening-for-hepatitis-c-virus-infection. Accessed March 12, 2020.
  201. Von Dadelszen P, Ornstein MP, Bull SB, Logan AG, Koren G, Magee LA. Fail in mean arterial pressure and fetal growth restriction in pregnancy hypertension: A meta-analysis. Lancet 2000;355(9198):87–92.
  202. Seely EW, Ecker J. Chronic hypertension in pregnancy. Circulation 2014;129(11):1254–1261.
  203. Magee LA, von Dadelszen P, Rey E, Ross S, Asztalos E, Murphy KE, Menzies J, Sanchez J, Singer J, Gafni A, Gruslin A, Helewa M, Hutton E, Lee SK, Lee T, Logan AG, Ganzevoort W, Welch R, Thornton JG, Moutquin J-M. Less-tight versus tight control of hypertension in pregnancy. N Engl J Med 2015;372(5):407–417.
  204. Tita AT, Szychowski JM, Boggess K, Dugoff L, Sibai B, Lawrence K, Hughes BL, Bell J, Aagaard K, Edwards RK, Gibson K, Haas DM, Plante L, Metz T, Casey B, Esplin S, Longo S, Hoffman M, Saade GR, Hoppe KK, Foroutan J, Tuuli M, Owens MY, Simhan HN, Frey H, Rosen T, Palatnik A, Baker S, August P, Reddy UM, Kinzler W, Su E, Krishna I, Nguyen N, Norton ME, Skupski D, El-Sayed YY, Ogunyemi D, Galis ZS, Harper L, Ambalavanan N, Geller NL, Oparil S, Cutter GR, Andrews WW. Treatment for Mild Chronic Hypertension during Pregnancy. N Engl J Med 2022;386(19):1781–1792.
  205. Bailey EJ, Tita ATN, Leach J, Boggess K, Dugoff L, Sibai B, Lawrence K, Hughes BL, Bell J, Aagaard K, Edwards RK, Gibson K, Haas DM, Plante L, Metz TD, Casey BM, Esplin S, Longo S, Hoffman M, Saade GR, Foroutan J, Tuuli MG, Owens MY, Simhan HN, Frey HA, Rosen T, Palatnik A, Baker S, August P, Reddy UM, Kinzler W, Su EJ, Krishna I, Nguyen N, Norton ME, Skupski D, El-Sayed YY, Ogunyemi D, Galis ZS, Harper L, Ambalavanan N, Oparil S, Kuo HC, Szychowski JM, Hoppe K. Perinatal Outcomes Associated With Management of Stage 1 Hypertension. Obstetrics and gynecology 2023;142(6):1395–1404.
  206. Anderson PO. Treating Hypertension during Breastfeeding. Breastfeeding Medicine 2018;13(2):95–96.
  207. Stevens DU, de Nobrega Teixeira JA, Spaanderman MEA, Bulten J, van Vugt JMG, Al-Nasiry S. Understanding decidual vasculopathy and the link to preeclampsia: A review. Placenta 2020;97:95–100.
  208. LeFevre ML. Low-dose aspirin use for the prevention of morbidity and mortality from preeclampsia: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med 2014;161(11):819–826.
  209. ACOG. Low-Dose Aspirin Use During Pregnancy: Committee Opinion No 743. Obstetrics and gynecology 2018;132:e44–e52.
  210. Ghesquiere L, Guerby P, Marchant I, Kumar N, Zare M, Foisy MA, Roberge S, Bujold E. Comparing aspirin 75 to 81 mg vs 150 to 162 mg for prevention of preterm preeclampsia: systematic review and meta-analysis. Am J Obstet Gynecol MFM 2023;5(7). doi:10.1016/J.AJOGMF.2023.101000.
  211. Roberge S, Bujold E, Nicolaides KH. Aspirin for the prevention of preterm and term preeclampsia: systematic review and metaanalysis. Am J Obstet Gynecol 2018;218(3):287-293.e1.
  212. Starikov R, Bohrer J, Goh W, Kuwahara M, Chien EK, Lopes V, Coustan D. Hemoglobin A1c in pregestational diabetic gravidas and the risk of congenital heart disease in the fetus. Pediatr Cardiol 2013;34:1716–1722.
  213. Landon MB, Mintz MC, Gabbe SG. Sonographic evaluation of fetal abdominal growth: Predictor of the large-for-gestational-age infant in pregnancies complicated by diabetes mellitus. Am J Obstet Gynecol 1989;160(1):115–121.
  214. Herranz L, Pallardo LF, Hillman N, Martin-Vaquero P, Villarroel A, Fernandez A. Maternal third trimester hyperglycaemic excursions predict large-for-gestational-age infants in type 1 diabetic pregnancy. Diabetes Res Clin Pract 2007;75(1):42–46.
  215. Nelson LT, Wharton B, Grobman WA. Prediction of large for gestational age birth weights in diabetic mothers based on early third-trimester sonography. Journal of Ultrasound in Medicine 2011;30:1625–1628.
  216. American College of Obstetricians and Gynecologists’ Committee on Practice Bulletins—Obstetrics. ACOG Practice Bulletin No. 204: Fetal Growth Restriction. Obstetrics and gynecology 2019;133(2):e97–e109.
  217. Jackson WP, Woolf N. Maternal prediabetes as a cause of the unexplained stillbirth. Diabetes 1958;7(6):446–448.
  218. Lagrew DC, Pircon RA, Towers C V., Dorchester W, Freeman RK. Antepartum fetal surveillance in patients with diabetes: When to start? Am J Obstet Gynecol 1993;168(6):1825–1826.
  219. Brecher A, Tharakan T, Williams A, Baxi L. Perinatal mortality in diabetic patients undergoing antepartum fetal evaluation: a case–control study. The Journal of Maternal-Fetal & Neonatal Medicine 2002;12(6):423–427.
  220. American College of Obstetricians and Gynecologists’ Committee on Practice Bulletins—Obstetrics. Practice bulletin no. 145: Antepartum fetal surveillance. Obstetrics and Gynecology 2014;124(1):182–192.
  221. Finneran MM, Kiefer MK, Ware CA, Buschur EO, Thung SF, Landon MB, Gabbe SG. The use of longitudinal hemoglobin A1c values to predict adverse obstetric and neonatal outcomes in pregnancies complicated by pregestational diabetes. Am J Obstet Gynecol MFM 2020;2(1):1–6.
  222. Damm P, Mersebach H, Råstam J, Kaaja R, Hod M, McCance DR, Mathiesen ER. Poor pregnancy outcome in women with type 1 diabetes is predicted by elevated HbA1c and spikes of high glucose values in the third trimester. Journal of Maternal-Fetal and Neonatal Medicine 2014;27(2):149–154.
  223. Mathiesen ER, Ringholm L, Damm P. Stillbirth in diabetic pregnancies. Best Pract Res Clin Obstet Gynaecol 2011;25(1):105–111.
  224. Thung SF, Landon MB. Fetal surveillance and timing of delivery in pregnancy complicated by diabetes mellitus. Clin Obstet Gynecol 2013;56(4):837–843.
  225. American College of Obstetricians and Gynecologists’. Medically Indicated Late-Preterm and Early-Term Deliveries: ACOG Committee Opinion, Number 818. Obstetrics and gynecology 2021;137(4):559–758.
  226. Gyamfi-Bannerman C, Thom EA, Blackwell SC, Tita ATN, Reddy UM, Saade GR, Rouse DJ, McKenna DS, Clark EAS, Thorp JM, Chien EK, Peaceman AM, Gibbs RS, Swamy GK, Norton ME, Casey BM, Caritis SN, Tolosa JE, Sorokin Y, VanDorsten JP, Jain L. Antenatal Betamethasone for Women at Risk for Late Preterm Delivery. New England Journal of Medicine 2016;374(14):1311–1320.
  227. American College of Obstetricians and Gynecologists’ Committee on Practice Bulletins—Obstetrics. Macrosomia: ACOG Practice Bulletin, Number 216. Obstetrics and Gynecology 2020;135(1):e18–e35.
  228. Landon MB, Galan HL, Jauniaux ERM, Driscoll DA, Berghella V, Grobman WA, Kilpatrick SJ, Cahill AG. Gabbe’s Obstetrics: Normal and Problem Pregnancies. 8th ed. Philadelphia: Elsevier; 2021.
  229. Kitzmiller JL, Gavin L. Manual of Endocrinology and Metabolism. 3rd ed. (Lavin N, ed.). Lippincott Williams & Wilkins; 2002.
  230. Wilkie GL, Delpapa E, Leftwich HK. Intrapartum continuous subcutaneous insulin infusion vs intravenous insulin infusion among pregnant individuals with type 1 diabetes mellitus: a randomized controlled trial. Am J Obstet Gynecol 2023;229(6):680.e1-680.e8.
  231. Landon MB. Obstetric management of pregnancies complicated by diabetes mellitus. Clin Obstet Gynecol 2000;43(1):65–74.
  232. Battarbee AN, Venkatesh KK, Aliaga S, Boggess KA. The association of pregestational and gestational diabetes with severe neonatal morbidity and mortality. Journal of Perinatology 2020;40:232–239.
  233. Robert MF, Neff RK, Hubbell JP, Taeusch HW, Avery ME. Association between Maternal Diabetes and the Respiratory-Distress Syndrome in the Newborn. New England Journal of Medicine 1976;294(7):357–360.
  234. Li Y, Wang W, Zhang D. Maternal diabetes mellitus and risk of neonatal respiratory distress syndrome: a meta-analysis. Acta Diabetol 2019;56:729–470.
  235. Sargent JA, Roeder HA, Ward KK, Moore TR, Ramos GA. Continuous Subcutaneous Insulin Infusion versus Multiple Daily Injections of Insulin for the Management of Type 1 Diabetes Mellitus in Pregnancy: Association with Neonatal Chemical Hypoglycemia. Am J Perinatol 2015;32(14):1324–1330.
  236. Hoffman MK, Bailit JL, Branch DW, Burkman RT, Van Veldhusien P, Lu L, Kominiarek MA, Hibbard JU, Landy HJ, Haberman S, Wilkins I, Quintero VHG, Gregory KD, Hatjis CG, Ramirez MM, Reddy UM, Troendle J, Zhang J. A comparison of obstetric maneuvers for the acute management of shoulder dystocia. Obstetrics and Gynecology 2011;117(6):1272–1278.
  237. Acker DS, Sachs BP, Friedman EA. Risk factors for shoulder dystocia. Obstetrics and Gynecology 1985;66(6):762–768.
  238. Mendez-Figueroa H, Hoffman MK, Grantz KL, Blackwell SC, Reddy UM, Chauhan SP. Shoulder Dystocia and Composite Adverse Outcomes for the Maternal-Neonatal Dyad. Am J Obstet Gynecol MFM 2021. doi:10.1016/j.ajogmf.2021.100359.
  239. American College of Obstetricians and Gynecologists’ Committee on Practice Bulletins—Obstetrics. Practice Bulletin No 178: Shoulder Dystocia. Obstetrics & Gynecology 2017;129(5):e123–e133.
  240. Witkop CT, Neale D, Wilson LM, Bass EB, Nicholson WK. Active compared with expectant delivery management in women with gestational diabetes: A systematic review. Obstetrics and Gynecology 2009;113(1):206--217.
  241. Boulvain M, Senat MV, Perrotin F, Winer N, Beucher G, Subtil D, Bretelle F, Azria E, Hejaiej D, Vendittelli F, Capelle M, Langer B, Matis R, Connan L, Gillard P, Kirkpatrick C, Ceysens G, Faron G, Irion O, Rozenberg P. Induction of labour versus expectant management for large-for-date fetuses: A randomised controlled trial. The Lancet 2015;385(9987):2600–2605.
  242. Committee on Practice Bulletins—Obstetrics. Macrosomia: ACOG Practice Bulletin, Number 216. Obstetrics and Gynecology 2020;135(1):E18–E35.
  243. Gold AE, Reilly C, Walker JD. Transient improvement in glycemic control: The impact of pregnancy in women with IDDM. Diabetes Care 1998;21(3):374–378.
  244. Riskin-Mashiah S, Almog R. Missed opportunities for appropriate postpartum care in women with pregestational diabetes. Journal of Maternal-Fetal and Neonatal Medicine 2016;29(11):1715–1719.
  245. Chen J, Ouyang L, Goodman DA, Okoroh EM, Romero L, Ko JY, Cox S. Association of Medicaid Expansion Under the Affordable Care Act With Medicaid Coverage in the Prepregnancy, Prenatal, and Postpartum Periods. Womens Health Issues 2023;33(6):582–591.
  246. Ringholm L, Mathiesen ER, Kelstrup L, Damm P. Managing type 1 diabetes mellitus in pregnancy - From planning to breastfeeding. Nat Rev Endocrinol 2012;8(11):659–667.
  247. Nørgaard SK, Nørgaard K, Roskjær AB, Mathiesen ER, Ringholm L. Insulin Pump Settings during Breastfeeding in Women with Type 1 Diabetes. Diabetes Technol Ther 2020;22(4):314–320.
  248. Stagnaro-Green A. Approach to the patient with postpartum thyroiditis. Journal of Clinical Endocrinology and Metabolism 2012;97(2):334–342.
  249. Stuebe A. The risks of not breastfeeding for mothers and infants. Rev Obstet Gynecol 2009;2(4):222–231.
  250. Riddle SW, Nommsen-Rivers LA. A Case Control Study of Diabetes during Pregnancy and Low Milk Supply. Breastfeeding Medicine 2016;11(2):80–85.
  251. Cordero L, Thung S, Landon MB, Nankervis CA. Breast-feeding initiation in women with pregestational diabetes mellitus. Clin Pediatr (Phila) 2014;53(1):18–25.
  252. Finkelstein SA, Keely E, Feig DS, Tu X, Yasseen AS, Walker M. Breastfeeding in women with diabetes: Lower rates despite greater rewards. A population-based study. Diabetic Medicine 2013;30(9):1094–1101.
  253. Stage E, Nørgård H, Damm P, Mathiesen E. Long-term breast-feeding in women with type 1 diabetes. Diabetes Care 2006;29(4):771–774.
  254. Feig DS, Lipscombe LL, Tomlinson G, Blumer I. Breastfeeding predicts the risk of childhood obesity in a multi-ethnic cohort of women with diabetes. Journal of Maternal-Fetal and Neonatal Medicine 2011;24(3):511–515.
  255. Frederiksen B, Kroehl M, Lamb MM, Seifert J, Barriga K, Eisenbarth GS, Rewers M, Norris JM. Infant exposures and development of type 1 diabetes mellitus: The Diabetes Autoimmunity Study in the Young (DAISY). JAMA Pediatr 2013;167(9):808–815.
  256. Rewers M, Ludvigsson J. Environmental risk factors for type 1 diabetes. The Lancet 2016;387(10035):2340–2348.
  257. Gardiner SJ, Kirkpatrick CMJ, Begg EJ, Zhang M, Peter Moore M, Saville DJ. Transfer of metformin into human milk. Clin Pharmacol Ther 2003;73(1):71–77.
  258. Hale T, Kristensen J, Hackett L, Kohan R, Ilett K. Transfer of metformin into human milk. Diabetologia 2002;45:1509–1514.
  259. Feig DS, Briggs GG, Kraemer JM, Ambrose PJ, Moskovitz DN, Nageotte M, Donat DJ, Padilla G, Wan S, Klein J, Koren G. Transfer of glyburide and glipizide into breast milk. Diabetes Care 2005;28(8):1851–1855.
  260. Management of diabetes in pregnancy: Standards of medical care in diabetes-2020. Diabetes Care 2020. doi:10.2337/dc20-S014.
  261. Curtis KM, Tepper NK, Jatlaoui TC, Berry-Bibee E, Horton LG, Zapata LB, Simmons KB, Pagano HP, Jamieson DJ, Whiteman MK. U.S. medical eligibility criteria for contraceptive use, 2016. MMWR Recommendations and Reports 2016;65(3):1–103.
  262. Schwarz EB, Braughton MY, Riedel JC, Cohen S, Logan J, Howell M, Thiel de Bocanegra H. Postpartum care and contraception provided to women with gestational and preconception diabetes in California’s Medicaid program. Contraception 2017;96(6):432–438.
  263. O’Brien SH, Koch T, Vesely SK, Schwarz EB. Hormonal contraception and risk of thromboembolism in women with diabetes. Diabetes Care 2017. doi:10.2337/dc16-1534.
  264. Gourdy P. Diabetes and oral contraception. Best Pract Res Clin Endocrinol Metab 2013;27(1):67–76.
  265. Visser J, Snel M, Van Vliet HAAM. Hormonal versus non-hormonal contraceptives in women with diabetes mellitus type 1 and 2. Cochrane Database of Systematic Reviews 2013;(3). doi:10.1002/14651858.CD003990.pub4.
  266. Lopez LM, Grimes DA, Schulz KF. Steroidal contraceptives: effect on carbohydrate metabolism in women without diabetes mellitus. Cochrane Database Syst Rev 2014;(4). doi:10.1002/14651858.CD006133.pub5.
  267. Salinas A, Merino PM, Giraudo F, Codner E. Long-acting contraception in adolescents and young women with type 1 and type 2 diabetes. Pediatr Diabetes 2020;21:1074–1082.
  268. American College of Obstetricians and Gynecologists’ Committee on Practice Bulletins. ACOG Practice Bulletin No. 208: Benefits and Risks of Sterilization. Obstetrics and gynecology 2019;133(3):e194–e207.
  269. Committee on Practice Bulletins- Obetetrics. ACOG Practice Bulletin 230: Obesity in Pregnancy. Obstetrics & Gynecology 2021;137(6). doi:10.1097/AOG.0000000000004395.
  270. Dutton H, Borengasser SJ, Gaudet LM, Barbour LA, Keely EJ. Obesity in Pregnancy: Optimizing Outcomes for Mom and Baby. Medical Clinics of North America 2018;102(1). doi:10.1016/j.mcna.2017.08.008.
  271. Davies G AL, Cynthia Maxwell KO, Lynne McLeod TO, Gagnon R, Melanie Basso MQ, Hayley Bos VB, Marie-France Delisle LO, Dan Farine VB, Lynda Hudon TO, Savas Menticoglou MQ, William Mundle WM, Lynn Murphy-Kaulbeck WO, Annie Ouellet AN, Tracy Pressey SQ, Anne Roggensack VB, Leduc D, Charlotte Ballerman OO, Anne Biringer EA, Louise Duperron TO, Donna Jones MQ, Lily Shek-Yun Lee CA, Debra Shepherd VB, Kathleen Wilson RS. SOGC CLINICAL PRACTICE GUIDELINES Obesity in Pregnancy☆. International Journal of Gynecology and Obstetrics 2010;110.
  272. Ogden CL, Carroll MD, Fryar CD, Flegal KM. Prevalence of Obesity Among Adults and Youth: United States, 2011-2014. NCHS Data Brief 2015;(219).
  273. Yogev Y, Catalano PM. Pregnancy and Obesity. Obstet Gynecol Clin North Am 2009;36(2). doi:10.1016/j.ogc.2009.03.003.
  274. Gunderson EP. Childbearing and Obesity in Women: Weight Before, During, and After Pregnancy. Obstet Gynecol Clin North Am 2009;36(2). doi:10.1016/j.ogc.2009.04.001.
  275. Nohr EA, Vaeth M, Baker JL, Sørensen TIA, Olsen J, Rasmussen KM. Combined associations of prepregnancy body mass index and gestational weight gain with the outcome of pregnancy. American Journal of Clinical Nutrition 2008;87(6). doi:10.1093/ajcn/87.6.1750.
  276. Stothard KJ, Tennant PWG, Bell R, Rankin J. Maternal overweight and obesity and the risk of congenital anomalies: A systematic review and meta-analysis. JAMA - Journal of the American Medical Association 2009;301(6). doi:10.1001/jama.2009.113.
  277. Watkins ML, Rasmussen SA, Honein MA, Botto LD, Moore CA. Maternal obesity and risk for birth defects. Pediatrics 2003;111(5 II).
  278. Reddy UM, Abuhamad AZ, Levine D, Saade GR. Fetal imaging: Executive summary of a joint Eunice Kennedy Shriver National Institute of Child Health and Human Development, society for maternal-fetal medicine, American Institute of ultrasound in medicine, American College of Obstetricians and gynecologists, American College of radiology, society for pediatric radiology, and society of radiologists in ultrasound fetal imaging workshop. Journal of Ultrasound in Medicine 2014;33(5). doi:10.7863/ultra.33.5.745.
  279. Dashe JS, McIntire DD, Twickler DM. Maternal obesity limits the ultrasound evaluation of fetal anatomy. Journal of Ultrasound in Medicine 2009;28(8). doi:10.7863/jum.2009.28.8.1025.
  280. Mojtabai R. Body mass index and serum folate in childbearing age women. Eur J Epidemiol 2004;19(11). doi:10.1007/s10654-004-2253-z.
  281. Laraia BA, Bodnar LM, Siega-Riz AM. Pregravid body mass index is negatively associated with diet quality during pregnancy. Public Health Nutr 2007;10(9). doi:10.1017/S1368980007657991.
  282. Parker SE, Yazdy MM, Tinker SC, Mitchell AA, Werler MM. The impact of folic acid intake on the association among diabetes mellitus, obesity, and spina bifida. Am J Obstet Gynecol 2013;209(3). doi:10.1016/j.ajog.2013.05.047.
  283. Correa A, Marcinkevage J. Prepregnancy obesity and the risk of birth defects: An update. Nutr Rev 2013;71(SUPPL1). doi:10.1111/nure.12058.
  284. Harmon KA, Gerard L, Jensen DR, Kealey EH, Hernandez TL, Reece MS, Barbour LA, Bessesen DH. Continuous glucose profiles in obese and normal-weight pregnant women on a controlled diet: Metabolic determinants of fetal growth. Diabetes Care 2011;34(10). doi:10.2337/dc11-0723.
  285. Beard JH, Bell RL, Duffy AJ. Reproductive considerations and pregnancy after bariatric surgery: Current evidence and recommendations. Obes Surg 2008;18(8). doi:10.1007/s11695-007-9389-3.
  286. Guelinckx I, Devlieger R, Vansant G. Reproductive outcome after bariatric surgery: A critical review. Hum Reprod Update 2009;15(2). doi:10.1093/humupd/dmn057.
  287. Wax JR, Cartin A, Pinette MG. Promoting preconception, pregnancy, and postpartum care following bariatric surgery: A best practice planning toolkit for patients and their physicians. Journal of Reproductive Medicine 2014;59(6).
  288. Guénard F, Deshaies Y, Cianflone K, Kral JG, Marceau P, Vohl MC. Differential methylation in glucoregulatory genes of offspring born before vs. after maternal gastrointestinal bypass surgery. Proc Natl Acad Sci U S A 2013;110(28). doi:10.1073/pnas.1216959110.
  289. Hernandez TL, Anderson MA, Chartier-Logan C, Friedman JE, Barbour LA. Strategies in the nutritional management of gestational diabetes. Clin Obstet Gynecol 2013;56(4):803–815.
  290. Metzger BE, Buchanan TA, Coustan DR, De Leiva A, Dunger DB, Hadden DR, Hod M, Kitzmiller JL, Kjos SL, Oats JN, Pettitt DJ, Sacks DA, Zoupas C. Summary and recommendations of the Fifth International Workshop-Conference on Gestational Diabetes Mellitus. Diabetes Care 2007;30(SUPPL. 2). doi:10.2337/dc07-s225.
  291. Marshall NE, Abrams B, Barbour LA, Catalano P, Christian P, Friedman JE, Hay WW, Hernandez TL, Krebs NF, Oken E, Purnell JQ, Roberts JM, Soltani H, Wallace J, Thornburg KL. The importance of nutrition in pregnancy and lactation: lifelong consequences. Am J Obstet Gynecol 2022;226(5):607–632.
  292. Kominiarek MA, Peaceman AM. Gestational weight gain. Am J Obstet Gynecol 2017;217(6). doi:10.1016/j.ajog.2017.05.040.
  293. Committee to Reexamine IOM Pregnancy Weight Guidelines, Food and Nutrition Board, Board on Children Youth and Families. Weight Gain During Pregnancy. Reexamining the Guidelines. (Rasmussen KM, Yaktine AL, eds.). Washington, DC: The National Academies Press; 2009.
  294. Kominiarek MA, Seligman NS, Dolin C, Gao W, Berghella V, Hoffman M, Hibbard JU. Gestational weight gain and obesity: Is 20 pounds too much? In: American Journal of Obstetrics and Gynecology.Vol 209.; 2013. doi:10.1016/j.ajog.2013.04.035.
  295. Duhl AJ, Paidas MJ, Ural SH, Branch W, Casele H, Cox-Gill J, Hamersley SL, Hyers TM, Katz V, Kuhlmann R, Nutescu EA, Thorp JA, Zehnder JL. Antithrombotic therapy and pregnancy: consensus report and recommendations for prevention and treatment of venous thromboembolism and adverse pregnancy outcomes. Am J Obstet Gynecol 2007;197(5). doi:10.1016/j.ajog.2007.04.022.
  296. Larsen TB, Sørensen HT, Gislum M, Johnsen SP. Maternal smoking, obesity, and risk of venous thromboembolism during pregnancy and the puerperium: A population-based nested case-control study. Thromb Res 2007;120(4). doi:10.1016/j.thromres.2006.12.003.
  297. Committee on Practice Bulletins- Obstetrics. ACOG Practice Bulletin No. 196: Thromboembolism in Pregnancy. Obstetrics & Gynecology 2018;132(1). doi:10.1097/AOG.0000000000002706.
  298. Katon J, Reiber G, Williams MA, Yanez D, Miller E. Weight loss after diagnosis with gestational diabetes and birth weight among overweight and obese women. Matern Child Health J 2013;17(2):374–383.
  299. Park JE, Park S, Daily JW, Kim SH. Low gestational weight gain improves infant and maternal pregnancy outcomes in overweight and obese Korean women with gestational diabetes mellitus. Gynecological Endocrinology 2011;27(10):775–781.
  300. Cheng YW, Chung JH, Kurbisch-Block I, Inturrisi M, Shafer S, Caughey AB. Gestational weight gain and gestational diabetes mellitus: Perinatal outcomes. Obstetrics and Gynecology 2008;112(5):1015–1022.
  301. Uplinger N. The controversy continues: Nutritional management of the pregnancy complicated by diabetes. Curr Diab Rep 2009;9(4):291–295.
  302. Knopp RH, Magee MS, Raisys V, Benedetti T. Metabolic effects of hypocaloric diets in management of gestational diabetes. In: Diabetes.Vol 40.; 1991. doi:10.2337/diab.40.2.s165.
  303. US Department of Agriculture. US Department of Health and Human Services. Dietary Guidelines for Americans, 2020-2025. Diet and Health Relationships: Pregnancy and Lactation. Available at: https://www.https://www.dietaryguidelines.gov/sites/default/files/2020-12/Dietary_Guidelines_for_Americans_2020-2025.pdf. Accessed December 17, 2024.
  304. ACOG Committee Opinion 804: Physical Activity and Exercise During Pregnancy and the Postpartum Period. Obstetrics & Gynecology 2020;135(4). doi:10.1097/AOG.0000000000003772.
  305. U.S. Department of Health and Human Services. Physical Activity Guidelines Advisory Committee Report 2008. Washington DC US 2008;67(2).
  306. Thangaratinam S, Rogozińska E, Jolly K, Glinkowski S, Roseboom T, Tomlinson JW, Kunz R, Mol BW, Coomarasamy A, Khan KS. Effects of interventions in pregnancy on maternal weight and obstetric outcomes: Meta-analysis of randomised evidence. BMJ (Online) 2012;344(7858). doi:10.1136/bmj.e2088.
  307. Gregg VH, Ferguson JE. Exercise in Pregnancy. Clin Sports Med 2017;36(4). doi:10.1016/j.csm.2017.05.005.
  308. Carpenter MW. The Role of Exercise in Pregnant Women With Diabetes Mellitus. Clin Obstet Gynecol 2000;43(1):56–64.
  309. Clapp JF. The course of labor after endurance exercise during pregnancy. Am J Obstet Gynecol 1990;163(6 PART 1). doi:10.1016/0002-9378(90)90753-T.
  310. Catalano PM, Thomas A, Huston-Presley L, Amini SB. Phenotype of infants of mothers with gestational diabetes. Diabetes Care 2007;30(SUPPL. 2). doi:10.2337/dc07-s209.
  311. Simeoni U, Barker DJ. Offspring of diabetic pregnancy: Long-term outcomes. Semin Fetal Neonatal Med 2009;14(2):119–124.
  312. Friedman, Jacob E. Obesity and Gestational Diabetes Mellitus Pathways for Programming in Mouse, Monkey, and Man. Diabetes Care 2015;38(August).
  313. Catalano PM, Farrell K, Thomas A, Huston-Presley L, Mencin P, De Mouzon SH, Amini SB. Perinatal risk factors for childhood obesity and metabolic dysregulation. American Journal of Clinical Nutrition 2009;90(5). doi:10.3945/ajcn.2008.27416.
  314. Heerwagen MJR, Miller MR, Barbour LA, Friedman JE. Maternal obesity and fetal metabolic programming: A fertile epigenetic soil. Am J Physiol Regul Integr Comp Physiol 2010;299(3). doi:10.1152/ajpregu.00310.2010.
  315. Pinney SE, Simmons RA. Metabolic programming, Epigenetics, and gestational diabetes mellitus. Curr Diab Rep 2012;12(1). doi:10.1007/s11892-011-0248-1.
  316. Blais K, Arguin M, Allard C, Doyon M, Dolinsky VW, Bouchard L, Hivert MF, Perron P. Maternal glucose in pregnancy is associated with child’s adiposity and leptin at 5 years of age. Pediatr Obes 2021. doi:10.1111/ijpo.12788.
  317. Chen J, Zhang J, Lazarenko OP, Kang P, Blackburn ML, Ronis MJJ, Badger TM, Shankar K. Inhibition of fetal bone development through epigenetic down‐regulation of HoxA10 in obese rats fed high‐fat diet. The FASEB Journal 2012;26(3). doi:10.1096/fj.11-197822.
  318. Boyle KE, Patinkin ZW, Shapiro ALB, Baker PR, Dabelea D, Friedman JE. Mesenchymal stem cells from infants born to obese mothers exhibit greater potential for adipogenesis: The healthy start babybump project. Diabetes 2016;65(3). doi:10.2337/db15-0849.
  319. Sullivan EL, Grayson B, Takahashi D, Robertson N, Maier A, Bethea CL, Smith MS, Coleman K, Grove KL. Chronic consumption of a high-fat diet during pregnancy causes perturbations in the serotonergic system and increased anxiety-like behavior in nonhuman primate offspring. Journal of Neuroscience 2010;30(10). doi:10.1523/JNEUROSCI.5560-09.2010.
  320. McCurdy CE, Bishop JM, Williams SM, Grayson BE, Smith MS, Friedman JE, Grove KL. Maternal high-fat diet triggers lipotoxicity in the fetal livers of nonhuman primates. Journal of Clinical Investigation 2009;119(2). doi:10.1172/JCI32661.
  321. Suter MA, Chen A, Burdine MS, Choudhury M, Harris RA, Lane RH, Friedman JE, Grove KL, Tackett AJ, Aagaard KM. A maternal high-fat diet modulates fetal SIRT1 histone and protein deacetylase activity in nonhuman primates. FASEB Journal 2012;26(12). doi:10.1096/fj.12-212878.
  322. Portha B, Chavey A, Movassat J. Early-life origins of type 2 diabetes: Fetal programming of the beta-cell mass. Exp Diabetes Res 2011;2011. doi:10.1155/2011/105076.
  323. Nolan CJ, Damm P, Prentki M. Type 2 diabetes across generations: From pathophysiology to prevention and management. In: The Lancet.Vol 378.; 2011. doi:10.1016/S0140-6736(11)60614-4.
  324. Vrachnis N, Antonakopoulos N, Iliodromiti Z, Dafopoulos K, Siristatidis C, Pappa KI, Deligeoroglou E, Vitoratos N. Impact of maternal diabetes on epigenetic modifications leading to diseases in the offspring. Exp Diabetes Res 2012;2012. doi:10.1155/2012/538474.
  325. Houshmand-Oeregaard A, Hansen NS, Hjort L, Kelstrup L, Broholm C, Mathiesen ER, Clausen TD, Damm P, Vaag A. Differential adipokine DNA methylation and gene expression in subcutaneous adipose tissue from adult offspring of women with diabetes in pregnancy. Clin Epigenetics 2017;9(1). doi:10.1186/s13148-017-0338-2.
  326. Gagné-Ouellet V, Houde AA, Guay SP, Perron P, Gaudet D, Guérin R, Jean-Patrice B, Hivert MF, Brisson D, Bouchard L. Placental lipoprotein lipase DNA methylation alterations are associated with gestational diabetes and body composition at 5 years of age. Epigenetics 2017;12(8). doi:10.1080/15592294.2017.1322254.
  327. Nelson RG, Morgenstern H, Bennett PH. Intrauterine diabetes exposure and the risk of renal disease in diabetic Pima Indians. Diabetes 1998;47(9). doi:10.2337/diabetes.47.9.1489.
  328. Pavkov ME, Knowler WC, Hanson RL, Williams DE, Lemley K V., Myers BD, Nelson RG. Comparison of serum cystatin C, serum creatinine, measured GFR, and estimated GFR to assess the risk of kidney failure in American Indians with diabetic nephropathy. American Journal of Kidney Diseases 2013;62(1). doi:10.1053/j.ajkd.2012.11.044.
  329. Jaiswal M, Fufaa GD, Martin CL, Pop-Busui R, Nelson RG, Feldman EL. Burden of diabetic peripheral neuropathy in pima indians with type 2 diabetes. Diabetes Care 2016;39(4). doi:10.2337/dc16-0082.
  330. Sellers EAC, Dean HJ, Shafer LA, Martens PJ, Phillips-Beck W, Heaman M, Prior HJ, Dart AB, McGavock J, Morris M, Torshizi AA, Ludwig S, Shen GX. Exposure to gestational diabetes mellitus: Impact on the development of early-onset type 2 diabetes in Canadian first nations and non-first nations offspring. Diabetes Care 2016;39(12). doi:10.2337/dc16-1148.
  331. Bunt JC, Antonio Tataranni P, Salbe AD. Intrauterine exposure to diabetes is a determinant of hemoglobin A1c and systolic blood pressure in pima indian children. Journal of Clinical Endocrinology and Metabolism 2005;90(6). doi:10.1210/jc.2005-0007.
  332. Dabelea D, Mayer-Davis EJ, Lamichhane AP, D’Agostino RB, Liese AD, Vehik KS, Venkat Narayan KM, Zeitler P, Hamman RF. Association of intrauterine exposure to maternal diabetes and obesity with type 2 diabetes in youth: The SEARCH case-control study. Diabetes Care 2008;31(7). doi:10.2337/dc07-2417.
  333. Kue Young T, Martens PJ, Taback SP, Sellers EAC, Dean HJ, Cheang M, Flett B. Type 2 diabetes mellitus in children: Prenatal and early infancy risk factors among Native Canadians. Arch Pediatr Adolesc Med 2002;156(7). doi:10.1001/archpedi.156.7.651.
  334. Dunford AR, Sangster JM. Maternal and paternal periconceptional nutrition as an indicator of offspring metabolic syndrome risk in later life through epigenetic imprinting: A systematic review. Diabetes and Metabolic Syndrome: Clinical Research and Reviews 2017;11. doi:10.1016/j.dsx.2017.04.021.
  335. Sharp GC, Lawlor DA. Paternal impact on the life course development of obesity and type 2 diabetes in the offspring. Diabetologia 2019;62(10). doi:10.1007/s00125-019-4919-9.
  336. Warram JH, Krolewski AS, Gottlieb MS, Kahn CR. Differences in risk of insulin-dependent diabetes in offspring of diabetic mothers and diabetic fathers. Obstet Gynecol Surv 1985;40(3). doi:10.1097/00006254-198503000-00011.
  337. Harjutsalo V, Reunanen A, Tuomilehto J. Differential transmission of type 1 diabetes from diabetic fathers and mothers to their offspring. Diabetes 2006;55(5). doi:10.2337/db05-1296.

 

Endocrine Hypertension in Childhood and Adolescence

ABSTRACT

 

Hypertension in children and adolescents is defined as a blood pressure ≥ 95th percentile (stage 1) or a blood pressure ≥ 95th percentile + 12 mmHg (stage 2), according to the Clinical Practice Guidelines of American Academy of Pediatrics published in 2017. Hypertension may be primary or idiopathic or secondary due to renal disease (including renal vascular abnormalities), cardiovascular disorders, or endocrine conditions. Endocrine hypertension might be caused by excess amount of steroid (aldosterone, deoxycorticosterone, cortisol, and other) or non-steroid hormones (such as catecholamines for example). In addition, a number of renal genetic disorders mimic adrenal diseases leading to hypertension. In this chapter, we provide an overview of the clinical manifestations of several nosological entities causing endocrine hypertension in children and adolescents and present the diagnostic work up and therapeutic management of these conditions.

 

INTRODUCTION

 

Hypertension occurs in 3.5% of children and adolescence worldwide (1). Its prevalence has increased due to the epidemic of pediatric obesity (2). The 2017 Clinical Practice Guidelines of American Academy of Pediatrics (APP) suggested an updated definition of hypertension in children and adolescent using tables containing values of systolic and diastolic blood pressure adjusted for gender, age, and height. According to these guidelines, children or adolescents with a blood pressure ≥ 95th percentile are classified as stage 1 hypertensive, whereas those with a blood pressure ≥ 95thpercentile + 12 mmHg are considered as stage 2 hypertensive (1).

 

Hypertension in children and adolescents might be primary or secondary. Causes of secondary hypertension include renal or renovascular diseases, heart diseases (e.g. aortic coarctation), or endocrine nosological entities (1, 2). Endocrine hypertension is defined as secondary hypertension caused by pathologies, such as various states of mineralocorticoid, glucocorticoid, or catecholamine excess, thyroid or pituitary hormone over-secretion, genetic disorders such as congenital adrenal hyperplasia (11β-hydroxylase deficiency and 17α-hydroxylase deficiency), and syndromes caused by molecular or chromosomal defects (3). Although the list of causes of endocrine hypertension is long, the prevalence of endocrine hypertension ranges between 0,05% to 6% among all causes of secondary hypertension (4). In addition to endocrine pathologies, the ever-increasing rates of obesity in childhood and adolescence have resulted in a dramatic increase of obesity-related hypertension with a prevalence of 25% ultimately leading to adverse cardiovascular outcomes (1, 2).

 

In this chapter, we review the most common causes of endocrine hypertension in children and adolescents.

 

DISORDERS OF THE ADRENAL CORTEX

 

Syndromes of Aldosterone Excess

 

PRIMARY ALDOSTERONISM

 

Less than 15% of cases in children and adolescents with hypertension have been attributed to primary aldosteronism, which is characterized by autonomous excessive biosynthesis and release of aldosterone by the zona glomerulosa of the adrenal cortex (5). Most cases of primary aldosteronism are sporadic due to a unilateral aldosterone-producing adenoma or bilateral adrenal hyperplasia. Less commonly, primary aldosteronism results from unilateral adrenal hyperplasia (6).

 

Children and adolescents with primary aldosteronism are often asymptomatic; however, the presence of resistant hypertension with hypokalemia or an adrenal lesion is highly suggestive of the diagnosis (7). Endocrinologic evaluation includes the measurement of plasma aldosterone concentrations (PAC) and plasma renin activity (PRA). The Aldosterone-to-Renin Ratio (ARR) remains the most reliable hormonal test (8). Indeed, patients with ARR above 27 ng/dL per ng/mL/h and PAC above 20 ng/dL (hyperaldosteronism) or with ARR within the normal range and PAC below 9 ng/dL (not hyperaldosteronism) on two serial measurements do not need to undergo dynamic tests (9). The dynamic tests include salt loading, saline infusion, or fludrocortisone administration, which all normally cause aldosterone suppression. The patients then undergo adrenal imaging with computerized tomography (CT) to identify any adrenal nodules or unilateral or bilateral adrenal hyperplasia (10).

 

In cases of lateralization of aldosterone overproduction, unilateral laparoscopic adrenalectomy is a therapeutic option; otherwise, medical treatment with a mineralocorticoid receptor antagonist (spironolactone or eplerenone) is highly recommended. In patients who do not tolerate mineralocorticoid receptor antagonists, an epithelial sodium channel blocker, such as amiloride, might be administered (11)   

 

FAMILIAL HYPERALDOSTERONISM

 

Familial Hyperaldosteronism Type I (FH-I) or Glucocorticoid Remediable Aldosteronism (GRA)

 

FH-I or GRA is an autosomal dominant pathologic condition caused by the fusion of two genes, the cytochrome P450 family 11 subfamily B member 1 (CYP11B1) encoding for 11β-hydroxylase, and the CYP11B2 that expresses aldosterone synthase (12). The chimeric gene consists of the adrenocorticotropic hormone (ACTH)-responsive promoter region of the CYP11B1 gene and the coding region of CYP11B2 gene resulting in the expression of aldosterone synthase under the control of ACTH. Therefore, aldosterone is produced ectopically in zona fasciculata in an ACTH-dependent fashion (Figures 1 and 2).

 

Patients younger than 20 years with primary aldosteronism or with a family member with primary aldosteronism or history of hemorrhagic stroke before the age of 40 years should be screened for FH-I (13). Hormonal evaluation includes measurements of PAC and PRA, dexamethasone suppression of aldosterone, and genetic testing. According to the protocol of dexamethasone suppression of aldosterone, aldosterone is measured before and following the administration of 0,5 mg dexamethasone every 6 hours for 4 days (14, 15).

 

The cornerstone of therapeutic management is dexamethasone or prednisone at physiologic and below physiologic dosing to suppress ACTH, thereby leading to decreased production and release of aldosterone (16). Second-line options are spironolactone or eplerenone or amiloride (17), as above. Most of the time, treatment needs to be titrated to the individual carefully and over time, to avoid overtreatment with glucocorticoids and to achieve normal blood pressure in the long term.

 

Figure 1. Molecular events of Familial Hyperaldosteronism Type I (FH-I) or Glucocorticoid Remediable Aldosteronism (GRA). Fusion of CYP11B1 encoding for 11β-hydroxylase, and the CYP11B2 that expresses aldosterone synthase results in a chimeric gene leading to ACTH-dependent aldosterone secretion.

Familial Hyperaldosteronism Type II (FH-II)

 

FH-II is the most frequent form of familial hyperaldosteronism found in 10% of children and adolescents with primary aldosteronism (18, 19). In contradistinction to FH-I or GRA, patients with this FH type do not respond to synthetic long-acting glucocorticoids and do not harbor the chimeric CYP11B1/CYP11B2 gene (20). However, it remains difficult to distinguish FH-II from sporadic primary aldosteronism in terms of adrenal lesions found on CT. The molecular basis of FH-II has been attributed to gain-of-function mutations in the CLCN2 gene which encodes for the chloride channel 2 (Figure 2) (21, 22). The increased efflux of chloride in the zona glomerulosa results in continuous aldosterone secretion. Patients with FH-II are treated with mineralocorticoid receptor antagonists (23).    

 

Familial Hyperaldosteronism Type III (FH-III)

 

FH-III is an autosomal dominant form of FH caused by germline gain-of-function mutations in the potassium inwardly rectifying channel subfamily J member 5 (KCNJ5) gene that encodes for the potassium channel GIRK4 (Kir3.4) (Figure 2) (24). Patients with FH-III are characterized by early-onset severe to resistant hypertension, very high PAC, extremely high 18-oxocortisol and 18-hydroxycortisol concentrations, as well as marked bilateral adrenal hyperplasia (25). Treatment options include administration of mineralocorticoid receptor antagonists if the case is mild or bilateral adrenalectomy in severe cases (17).

 

Familial Hyperaldosteronism Type IV (FH-IV)

 

FH-IV should be suspected in children aged less than 10 years who present with early-onset hypertension and primary aldosteronism (13). Patients with FH-IV harbor mutations in the calcium voltage-gated channel subunit alpha 1H (CACNA1H) gene that encodes for the alpha subunit of the voltage-dependent T-type calcium channel Cav3.2 (Figure 2). These genetic defects resulted in increased calcium influx in the cytoplasm of cells within the zona glomerulosa, thereby facilitating continuous aldosterone secretion (26). Patients may respond to calcium channel blockers (4).

 

Primary Aldosteronism with Seizures and Neurologic Abnormalities (PASNA) or Familial Hyperaldosteronism Type V? (FH-V?)

 

Scholl and collaborators have described two children with primary aldosteronism, seizures, and neurologic abnormalities (27). The patients harbored mutations in the CACNA1D gene which encodes the alpha-1 subunit of the voltage dependent Ca2+ L-type Cav1.3 channel (27).

 

Figure 2. Genetic defects of the types of Familial Hyperaldosteronism (FH). FH-I is caused by the fusion of CYP11B1 encoding for 11β-hydroxylase, and the CYP11B2 that expresses aldosterone synthase. The molecular basis of FH-II has been attributed to activating mutations in the CLCN2 encoding for the chloride channel 2. FH-III is caused by germline activating mutations in the KCNJ5 that expresses the potassium channel GIRK4 (Kir3.4). FH-IV has been associated with mutations in the CACNA1H that encodes for the alpha subunit of the voltage-dependent T-type calcium channel Cav3.2.

 

Syndromes of Deoxycorticosterone Excess

 

CONGENITAL ADRENAL HYPERPLASIA

 

Congenital adrenal hyperplasia is a group of disorders characterized by defects in genes encoding for enzymes that participate in steroidogenesis (Figure 3). Two forms of congenital adrenal hyperplasia, 11β-hydroxylase deficiency and 17α-hydroxylase deficiency, both present with hypertension and hypokalemia (28).

 

Figure 3. Biochemical pathways of steroidogenesis.

11β-Hydroxylase Deficiency

 

This is the second most common form of congenital adrenal hyperplasia (5%-8%) which is inherited in an autosomal recessive fashion. 11β-hydroxylase deficiency results from genetic defects in CYP11B1 gene, and causes increased production of deoxycorticosterone, 11-deoxycortisol, and adrenal androgens (29). In addition, PRA is suppressed leading to decreased production of aldosterone in the zonal glomerulosa and hypokalemia. In girls, 11β-hydroxylase deficiency is a 46XX disorder of sex development (46XX DSD) leading to genital virilization. In boys, this form of congenital adrenal hyperplasia causes penile enlargement, precocious pubarche and puberty, as well as adrenal rests in the testicles (30). Hypertension may be present in up to 65% of patients (31). Treatment includes administration of synthetic glucocorticoids to decrease ACTH-mediated production of deoxycorticosterone and adrenal androgens.  

 

17α-Hydroxylase Deficiency

 

This form of congenital adrenal hyperplasia is also inherited in an autosomal recessive fashion and is caused by defects in the CYP17A gene that encodes for 17α-hydroxylase. This enzyme catalyzes 17-hydroxylation of pregnenolone and progesterone and cleaves the side chain of the steroid molecule at position 17, 20; thereby displaying lyase activity (28). 17α-hydroxylase deficiency leads to insufficient production of glucocorticoids and sex steroids and concurrent accumulation of deoxycorticosterone and corticosterone. Patients with 17α-hydroxylase may present with 46XY disorder of sex development (DSD) and absent Müllerian structures (28), hypergonadotropic hypogonadism with lack of development of secondary sex characteristics, and primary amenorrhea in 46XX individuals (32-34). They also display hypokalemic hypertension. The treatment basis of 17α-hydroxylase deficiency is supplementation with synthetic glucocorticoids.

 

PRIMARY GENERALIZED GLUCOCORTICOID RESISTANCE (CHROUSOS SYNDROME)

 

Initially described by Chrousos and collaborators (35), primary generalized glucocorticoid resistance or Chrousos syndrome is a rare endocrinologic condition characterized by incomplete resistance of target tissues to glucocorticoids (36). This syndrome is caused by genetic defects in NR3C1 gene which encodes for the human glucocorticoid receptor (37). The defective human glucocorticoid receptor (hGR) in both the hypothalamus and anterior pituitary causes impaired negative feedback loops leading to compensatory activation of the hypothalamus-pituitary-adrenal axis (Figure 4). The increased levels of CRH and AVP may cause depression and anxiety, while the elevated ACTH concentrations lead to adrenal hyperplasia, increased production of steroid precursors with mineralocorticoid activity (deoxycorticosterone, corticosterone), increased biosynthesis and release of adrenal androgens, and elevated concentrations of cortisol (38). Patients may be asymptomatic or display hypertension with hypokalemic alkalosis or present with ambiguous genitalia, peripheral precocious puberty, amenorrhea, oligoamenorrhea, and decreased fertility (Figure 4). As far as endocrinologic work-up is concerned, patients with Chrousos syndrome have increased urinary-free cortisol excretion, resistance of the hypothalamic-pituitary-adrenal axis to increasing concentrations of dexamethasone, without any stigmata of Cushing’s syndrome. Treatment consists of high doses of dexamethasone only in symptomatic patients to prevent the development of ACTH-dependent adrenal adenomas (39). Treatment needs to be titrated to the individual carefully and over time, to avoid overtreatment with glucocorticoids and achieve normal pressure in the long term.

 

Figure 4. Pathophysiology of Chrousos syndrome. ACTH: adrenocorticotropic hormone; AVP: arginine-vasopressin; CRH: corticotropin-releasing hormone; mGR: mutated Glucocorticoid Receptor; POMC: Pro-opiomelanocortin; wtGR: wild-type Glucocorticoid Receptor.

 

Syndromes of Cortisol Excess

 

The most common cause of Cushing’s in children and adolescents is chronic exogenous administration of synthetic glucocorticoids. As far as endogenous causes are concerned, hypercortisolism may be ACTH-dependent (such as in Cushing’s disease from pituitary tumors or ACTH-dependent Cushing syndrome from ectopic, non-pituitary tumors) or ACTH-independent (Cushing’s syndrome) (Figure 5) (40). Hypertension in these patients might be attributed to several pathophysiological mechanisms that influence substantially peripheral vascular resistance, plasma volume, and cardiac output. Independently of etiology, 11β-hydroxysteroid dehydrogenase type 2 (11HSD2) is less capable of converting the active cortisol to the inactive cortisone; therefore, the increased cortisol in the renal tubules binds to the mineralocorticoid receptor and leads to hypertension (41).  

 

ACTH-DEPENDENT CUSHING’S SYNDROME OR CUSHING’S DISEASE

 

Cushing’s disease remains the most common cause of endogenous hypercortisolism in children aged more than five years and adolescents (42, 43). Usually, an ACTH-producing corticotroph pituitary neuroendocrine tumor (PitNET) also termed as pituitary adenoma, leads to increased biosynthesis and secretion of cortisol by zona fasciculata and adrenal androgens by zona reticularis (44). Hyperandrogenism (testosterone, Δ4-androstenedione, DHEAS) results in virilization with pseudo precocious puberty. Hypokalemic hypertension is caused by the saturation of renal 11HSD2 due to increased cortisol concentrations. Another cause of ACTH dependent Cushing’s syndrome is the ectopic production and release of ACTH by carcinoid tumors in the thymus, bronchus, or pancreas; medullary carcinomas of the thyroid, small cell carcinoma of the lung, pheochromocytomas or other neuroendocrine tumors (45). Finally, pituitary blastomas, although extremely rare, represent a cause of Cushing’s disease in infants (46). The recommended therapy in patients with Cushing’s disease is transsphenoidal surgical excision of the adenoma with cure reaching the percentage of more than 75% in hands of high-volume surgeons (47). Up to 30% of ACTH-producing pituitary adenomas in children harbor somatic “hot-spot” mutations in the USP8 gene that encodes for the ubiquitin-specific protease 8 (Figure 5) which may lead to targeted medical therapies in the future (48, 49).

 

ACTH-INDEPENDENT CUSHING’S SYNDROME

 

Cushing’s syndrome in childhood and adolescence is caused by autonomous (ACTH-independent) secretion of cortisol by the adrenal cortex is an extremely rare condition. It accounts for 10%-15% of hypercortisolemia and is caused by unilateral adrenal lesions, including adrenocortical adenomas or carcinomas (discussed below), or bilateral adrenocortical disorders (50). Bilateral adrenocortical hyperplasias (BAHs) account for less than 2% of all cases of Cushing’s syndrome in pediatric and adult patients (50). BAHs are classified as macronodular (nodules with diameter greater than 1 cm) or micronodular (nodules with diameter less than 1 cm) (51). In addition to the size of nodules identified on high-resolution computed tomography (CT), BAHs are classified based on the existence of pigmentation on pathologic examination. The most common type of BAH in children is micronodular adrenocortical disease, which is further classified in primary pigmented nodular adrenocortical disease (PPNAD) and isolated micronodular adrenocortical disease (iMAD). PPNAD is characterized by dark brown pigmented adrenal micronodules that are surrounded by an atrophic cortex and is due to PRKAR1A mutations; in contrast, iMAD is characterized by the absence of extensive pigmentation and lack of PRKAR1A defects (52). Another cause of Cushing’s syndrome is primary bilateral macronodular adrenal hyperplasia (PBMAH) or massive macronodular adrenal hyperplasia (MMAD), which is characterized by adrenal nodules with a diameter greater than 1 cm. The molecular basis of this condition has been ascribed to ARMC5 gene mutations in about 50% of the cases (Figure 5) (53).

Figure 5. Genetic defects of Cushing’s disease and Cushing’s syndrome. AC: adenylate cyclase; ACTH: adrenocorticotropic hormone; AIP: aryl-hydrocarbon receptor-interacting protein; ARMC5: armadillo repeat containing 5; BMAH: bilateral macronodular adrenal hyperplasia; Brg1: Brahma‐related gene 1; Cα: catalytic subunit of PKA; CDKI: cyclin-dependent kinase inhibitor; CDKN1B (also known as p27Kip1); CTNNB1: catenin beta 1; DOT1: Disruptor of telomeric silencing 1; EGFR: epidermal growth factor receptor; GNAS: Guanine Nucleotide binding protein; GPCR: G-protein-coupled receptor; HDAC2: Histone Deacetylase 2; MC2R: melanocortin 2 receptor; MEN1: multiple endocrine neoplasia 1; PDEs: phosphodiesterases; PKA: protein kinase A; POMC: Pro-opiomelanocortin; PPNAD: primary pigmented nodular adrenocortical disease; PRUNE2: prune homologue 2; PTTG: pituitary transforming gene; Rlα: type 1α regulatory subunit of PKA; SDH: succinate dehydrogenase subunit; TR4: testicular orphan receptor 4; USP8: ubiquitin-specific peptidase 8.

ADRENOCORTICAL CARCINOMA

 

Adrenocortical carcinoma is a very rare pathologic condition which may occur at any age with a first peak before the age of 5 years and a second peak in adulthood between the fourth and fifth decades (54). It may be present in the context of Li-Fraumeni syndrome, which is caused by germline mutations in TP53 gene, a tumor suppressor gene located on chromosome 17. In contradistinction to adrenocortical carcinomas found in adults, mutations in the CTNNB1 gene that encodes for β-catenin are not frequently detected (55). Adrenocortical carcinoma in children usually presents with hypertension and increased concentrations of adrenal androgens, especially DHEAS, causing virilization, early pubarche, altered voice timber and irritability.

 

McCUNE-ALBRIGHT SYNDROME

 

This rare syndrome is characterized by the classic triad of cafe-au-lait skin macules, polyostotic fibrous dysplasia, and hyperfunctioning endocrinopathies (56). The molecular basis of this condition has been ascribed to postzygotic somatic activating mutations in the GNAS1 gene encoding for the alpha subunit of Gs protein (57). Hypertension in McCune-Albright syndrome has been associated with Cushing syndrome, often seen in infancy, thyrotoxicosis, or hypersecretion of growth hormone (58).  

 

CARNEY COMPLEX

 

Carney complex is inherited in an autosomal-dominant fashion and is caused by mutations in the PRKAR1A gene (17q22-24) encoding the regulatory subunit type I alpha of protein kinase A (59). The cardinal clinical manifestations often seen in patients with the complex include lentigines, cardiac and breast myxomas, and PPNAD that causes ACTH-independent Cushing’s syndrome (60, 61). The latter is responsible for hypertension in these patients.

 

DISORDERS OF THE ADRENAL MEDULLA

 

Conditions with Catecholamine Excess

 

PHEOCHROMOCYTOMA AND PARAGANGLIOMA

 

Pheochromocytomas and paragangliomas are rare tumors that produce and release excess amount of catecholamines into the systemic circulation. They both account for 0.5%-2% of hypertension in children and adolescents (62). According to Sarathi, 10% of pediatric pheochromocytomas and paragangliomas are malignant, 20% of them are synchronous bilateral, 30% are extra-adrenal, and 40% are familial (63). These tumors occur more frequently in boys (60%), present with hypertension (70%), and may be sporadic or in the context of specific syndromes, including neurofibromatosis type 1 caused by NF1 gene mutations, Von Hippel-Lindau disease type 2 due to VHL genetic defects, and multiple endocrine neoplasia type 2 caused by mutations in the RET gene (64). Rarely, pheochromocytomas and paragangliomas may present in paragangliomas syndromes caused by germline mutations in genes encoding the subunits D, AF2, C, B, and A of succinate dehydrogenase (SDH), or in the Pacak-Zhuang syndrome due to activating genetic defects in hypoxia-inducible factor 2 alpha (HIF2A), or in familial pheochromocytomas characterized by Myc-associated protein X (MAX) and transmembrane protein 127 (TMEM127) gene mutations. Although an ever-increasing number of predisposing genes have been identified so far, it is worth mentioning that most genetic defects in patients with pheochromocytomas and paragangliomas remain unidentified (65). Clinical manifestations include hypertension in 70%-90% of pediatric patients, flushing, hyperhidrosis, palpitations, tremors, headaches, nausea and/or vomiting during exercise, hyperactivity, or worsening of school performance. According to the recently published international consensus statement on the diagnostic work-up and the therapeutic management of pheochromocytomas and paragangliomas (66), the laboratory evaluation includes plasma-free or urine (spot or 24-h) levels of normetanephrine and metanephrine using liquid chromatography. In those children and adolescents with elevated concentrations of catecholamines, either MRI or CT should be performed for tumor localization (66). In cases of multiple and/or metastatic lesions, functional imaging, including [68Ga]DOTATATE, [18F]fluorodopa (FDOPA), and [18F]fluorodeoxyglucose (FDG) PET–CT, as well as [123I]MIBG scintigraphy, should be considered. All children with pheochromocytomas or paragangliomas are highly recommended to undergo genetic testing for germline mutations (65, 66). Surgical resection remains the treatment of choice in specialized centers with a multidisciplinary team. It is worth mentioning that minimally invasive procedures are preferred in cases with abdominal and pelvic pheochromocytomas and paragangliomas. Finally, special attention should be focused on preoperative treatment of hypertension using α-adrenoceptor blockers or calcium channel blockers or beta-adrenoceptor blockers especially in patients with persistent tachycardia (66, 67).

 

RENAL DISEASES MIMICKING ADRENAL DISORDERS

 

Syndromes of Inappropriate Salt Retention

 

LIDDLE SYNDROME

 

Patients with Liddle syndrome present with hypertension starting at about two years of age, although the average age of hypertension onset was 15.5 ± 3.3 years, according to the large series of cases (68). In addition to early-onset hypertension, patients with this condition display hypokalemia, metabolic alkalosis, and suppressed PAC. The genetic basis of Liddle syndrome has been ascribed to activating mutations in the sodium channel epithelial 1 alpha, beta and gamma (SCNN1A, SCNN1B, and SCNN1G) genes that encode for the α, β, and γ subunits, respectively, of the epithelial sodium channel (ENaC) of the renal tubule, also known as the amiloride-sensitive channel (Figure 6) (69). ENaC inhibitors, such as amiloride or triamterene, with low salt diet remain the only effective treatment in patients with Liddle syndrome (70).    

 

GORDON SYNDROME OR PSEUDOHYPOALDOSTERONISM TYPE 2 OR FAMILIAL HYPERKALEMIC HYPERTENSION

 

Gordon syndrome or type II pseudohypoaldosteronism (PHA II) is inherited in an autosomal dominant fashion and is characterized by hypertension, metabolic acidosis, hyperkalemia and hyperchloremia (71). Endocrinologic evaluation reveals low PRA and, usually, decreased serum aldosterone concentrations (71). Five subtypes of PHA II have been reported with distinct genetic defects (72). The genetic basis of PHA II-A is less known, since no genetic defect has been identified yet; however, this subtype has been associated with chromosome region 1q31-q42. PHA II-B has been linked to mutations in the with-no-lysine kinase (WNK4) gene (17q21), whereas genetic defects in the WNK1 gene (12p12.3.) have been associated with PHA II-C (Figure 6). WNK genes encode WNK proteins, which function as serine-threonine protein kinases regulating the expression and action of cation-Cl− cotransporters (CCCs) such as the sodium chloride cotransporter (NCC), basolateral Na-K-Cl symporter (NKCC1), and potassium chloride cotransporter (KCC1) located within the distal nephron. Patients with PHA II-D and -E harbor variations in kelch-like 3 (KLHL3) gene (5q31.2) that encodes for the adaptor protein KLHL3, and cullin-3 (CUL3) gene (2q36) expressing the ubiquitin scaffold protein CUL3, respectively (Figure 6) (73, 74). Generally, patients with Gordon syndrome respond adequately to low sodium diet and thiazide diuretics (28).    

 

GELLER SYNDROME (MR ACTIVATING MUTATION SYNDROME)

 

Geller syndrome is a rare autosomal dominant disorder characterized by hypertension, hypokalemia, low PRA, and low serum aldosterone concentrations (2). Patients with Geller syndrome harbor an activating mutation in the NR3C2 gene that encodes for the mineralocorticoid receptor (MR) (Figure 6) (75, 76). This genetic defect leads to aberrant activation of the MR by cortisone, 11-DOC, and progesterone, all acting as antagonists of the wild-type MR; therefore, hypertension worsens during pregnancy due to increased progesterone concentrations. The therapeutic management includes administration of amiloride and finerenone (77).   

 

APPARENT MINERALOCORTICOID EXCESS (AME) SYNDROME (11β-Hydroxysteroid Dehydrogenase Deficiency Type 2)

 

This syndrome is caused by inactivating genetic defects in the 11β-hydroxysteroid dehydrogenase type 2 (HSD11B2) gene that encodes for the enzyme 11β-hydroxysteroid dehydrogenase type 2 converting cortisol to inactive cortisone in aldosterone-responsive target tissues (Figure 6) (e.g., kidney) (78). The resultant high concentrations of cortisol bind to mineralocorticoid receptors which induce the expression of several responsive genes leading to hypertension, low renin and aldosterone concentrations, hypernatremia, hypokalemia, and metabolic alkalosis. In addition to hypertension, patients with AME syndrome may present with short stature, failure to thrive, polyuria, polydipsia, as well as hypercalciuria and nephrocalcinosis (78). To reach the diagnosis, a high ratio of 5b and 5a-tetrahydrocortisol steroids to tetrahydrocortisone in the urine should be confirmed, followed by sequencing of the HSD11B2 gene. Treatment should begin early to prevent left ventricular hypertrophy and/or cerebrovascular events, and includes spironolactone to block mineralocorticoid receptor activation, restriction of dietary intake of sodium, and potassium supplementation. In cases of nephrocalcinosis, patients should also receive chlorothiazide or hydrochlorothiazide to minimize hypercalciuria (78). Dexamethasone might be also administered as monotherapy or in addition to spironolactone, since dexamethasone reduces the activity of the hypothalamic-pituitary-adrenal axis through negative feedback loops at the levels of hypothalamus and pituitary. Moreover, dexamethasone does not have any affinity to 11β-HSD2 (78).

Figure 6. Genetic defects of renal disorders mimicking adrenal diseases. Apparent Mineralocorticoid Excess (AME) syndrome is caused by inactivating genetic defects in the HSD11B2 that encodes for the 11β-hydroxysteroid dehydrogenase type 2 converting cortisol to inactive cortisone. The molecular basis of Gordon syndrome has been ascribed to mutations in the WNK genes expressing proteins that function as serine-threonine protein kinases regulating the expression and action of cation-Cl− cotransporters, such as the sodium chloride cotransporter. Gordon syndrome is also caused by mutations in KLHL3 that encodes for the adaptor protein KLHL3, as well as in CUL3 expressing the ubiquitin scaffold protein CUL3. Geller syndrome has been associated with activating mutations in the NR3C2 that encodes for the mineralocorticoid receptor. Liddle syndrome is caused by mutations in the SCNN1A, SCNN1B, and SCNN1G encoding for the α, β, and γ subunits, respectively, of the epithelial sodium channel (ENaC) of the renal tubule. HSD11B2: 11β-hydroxysteroid dehydrogenase type 2; HSPs: heat shock proteins; FKBP: immunophilin; KLHL3: kelch-like 3; MR: mineralocorticoid receptor; NR3C2: nuclear receptor subfamily 3 group C member 2; WNK: with-no-lysine kinase.

OTHER CAUSES OF ENDOCRINE HYPERTENSION

 

Acromegaly

 

In children and adolescents, growth hormone (GH) excess is rare. Its prevalence is approximately 30 cases per million in children aged 0-17 years in United States without any differences between males and females (79). Acromegaly is usually caused by a GH-secreting pituitary adenoma, but other less common causes include pituitary hyperplasia, multiple adenomas, or extremely rare cases of tumors secreting growth hormone-releasing hormone (GHRH) (80). In 45% of cases, the molecular basis of GH-secreting adenomas or hyperplasia has been attributed to identifiable genetic defects, including mutations in the AIP gene (˃20%), duplications in the GPR101 gene that cause X-LAG, post-zygotic mosaic GNAS mutations responsible for McCune-Albright syndrome (5%), whereas genetic defects in other genes, such as MEN1, CDKN1B, PRKAR1A, PRKACB and SDH contribute in less than 1% each (81). Typical clinical manifestations in children and adolescents with acromegaly include overgrowth and tall stature if excess secretion of GH occurs before epiphyseal closure, acral enlargement, rectangular face, prognathism, headache, visual filed defects, sweating, delayed puberty, left ventricular hypertrophy, diastolic dysfunction, sleep apnea, hypertension, as well as glucose intolerance or even diabetes (79). The biochemical diagnosis of GH excess relies on elevated age-adjusted serum IGF-1 concentrations and failure to suppress GH following an oral glucose tolerance test. Treatment options include surgery, medical therapy, and radiotherapy (79).      

 

Thyroid / Parathyroid Dysfunction

 

Thyroid or parathyroid dysfunction has been associated with hypertension in children and adolescents. Hypothyroidism is usually associated with increased diastolic blood pressure, whereas hyperthyroidism with elevated systolic blood pressure (82). In addition to thyroid disorders, hypertension has also been reported in patients with parathyroid dysfunction, although there are no data on its prevalence (83).  

 

CONCLUSIONS

 

Endocrine hypertension in children is most often caused by excess steroids, with other hormonal abnormalities far less frequent. The tremendous progress on endocrine genetics and molecular biology has enabled a deeper understanding of the genetic basis of several endocrine pathologic conditions leading to hypertension. A detailed medical history and physical examination, as well as a careful interpretation of laboratory and hormonal results may lead to an early and accurate diagnosis (Figure 7). The appropriate therapeutic management of these conditions is of paramount importance to prevent long term cardiovascular and other systemic complications.

Figure 7. Diagnostic approach to endocrine hypertension.

REFERENCES

 

  1. Flynn JT, Kaelber DC, Baker-Smith CM, Blowey D, Carroll AE, Daniels SR, de Ferranti SD, Dionne JM, Falkner B, Flinn SK, Gidding SS, Goodwin C, Leu MG, Powers ME, Rea C, Samuels J, Simasek M, Thaker VV, Urbina EM; SUBCOMMITTEE ON SCREENING AND MANAGEMENT OF HIGH BLOOD PRESSURE IN CHILDREN. Clinical Practice Guideline for Screening and Management of High Blood Pressure in Children and Adolescents. Pediatrics. 2017 Sep;140(3):e20171904.
  2. Kotanidou EP, Giza S, Tsinopoulou VR, Vogiatzi M, Galli-Tsinopoulou A. Diagnosis and Management of Endocrine Hypertension in Children and Adolescents. Curr Pharm Des 2020;26(43):5591-5608.
  3. Baracco R, Kapur G, Mattoo T, Jain A, Valentini R, Ahmed M, Thomas R. Prediction of primary vs secondary hypertension in children. J Clin Hypertens (Greenwich). 2012 May;14(5):316-21.
  4. Gupta-Malhotra M, Banker A, Shete S, Hashmi SS, Tyson JE, Barratt MS, Hecht JT, Milewicz DM, Boerwinkle E.Essential hypertension vs. secondary hypertension among children. Am J Hypertens. 2015 Jan;28(1):73-80.
  5. Pons Fernández N, Moreno F, Morata J, Moriano A, León S, De Mingo C, Zuñiga Á, Calvo F. Familial hyperaldosteronism type III a novel case and review of literature. Rev Endocr Metab Disord. 2019 Mar;20(1):27-36.
  6. He X, Modi Z, Else T. Hereditary causes of primary aldosteronism and other disorders of apparent excess mineralocorticoid activity. Gland Surg. 2020 Feb;9(1):150-158.
  7. Baguet JP, Steichen O, Mounier-Véhier C, Gosse P. SFE/SFHTA/AFCE consensus on primary aldosteronism, part 1: Epidemiology of PA, who should be screened for sporadic PA? Ann Endocrinol (Paris). 2016 Jul;77(3):187-91.
  8. Li X, Goswami R, Yang S, Li Q. Aldosterone/direct renin concentration ratio as a screening test for primary aldosteronism: A meta-analysis. J Renin Angiotensin Aldosterone Syst 2016 Aug 17;17(3):1470320316657450.
  9. Reznik Y, Amar L, Tabarin A. SFE/SFHTA/AFCE consensus on primary aldosteronism, part 3: Confirmatory testing. Ann Endocrinol (Paris). 2016 Jul;77(3):202-7.
  10. Bardet S, Chamontin B, Douillard C, Pagny JY, Hernigou A, Joffre F, Plouin PF, Steichen O. SFE/SFHTA/AFCE consensus on primary aldosteronism, part 4: Subtype diagnosis. Ann Endocrinol (Paris). 2016 Jul;77(3):208-13.
  11. Pechère-Bertschi A, Herpin D, Lefebvre H. SFE/SFHTA/AFCE consensus on primary aldosteronism, part 7: Medical treatment of primary aldosteronism. Ann Endocrinol (Paris) 2016 Jul;77(3):226-34.
  12. Lifton RP, Dluhy RG, Powers M, et al. A chimaeric 11 beta-hydroxylase/aldosterone synthase gene causes glucocorticoid-remediable aldosteronism and human hypertension. Nature 1992;355:262-5.
  13. Zennaro MC, Jeunemaitre X. SFE/SFHTA/AFCE consensus on primary aldosteronism, part 5: Genetic diagnosis of primary aldosteronism. Ann Endocrinol (Paris). 2016 Jul;77(3):214-9.
  14. Stowasser M, Bachmann AW, Jonsson JR, et al. Clinical, biochemical and genetic approaches to the detection of familial hyperaldosteronism type I. J Hypertens 1995;13:1610-3.
  15. Mulatero P, Veglio F, Pilon C, et al. Diagnosis of Glucocorticoid-Remediable Aldosteronism in Primary Aldosteronism: Aldosterone Response to Dexamethasone and Long Polymerase Chain Reaction for Chimeric Gene. J Clin Endocrinol Metab 1998;83:2573-5.
  16. Nimkarn S, New M. Endocrine Hypertension in Childhood. Kenneth R Feingold, Bradley Anawalt, Marc R Blackman, Alison Boyce, George Chrousos, Emiliano Corpas, Wouter W de Herder, Ketan Dhatariya, Kathleen Dungan, Johannes Hofland, Sanjay Kalra, Gregory Kaltsas, Nitin Kapoor, Christian Koch, Peter Kopp, Márta Korbonits, Christopher S Kovacs, Wendy Kuohung, Blandine Laferrère, Miles Levy, Elizabeth A McGee, Robert McLachlan, Maria New, Jonathan Purnell, Rakesh Sahay, Amy S Shah, Frederick Singer, Mark A Sperling, Constantine A Stratakis, Dace L Trence, Don P Wilson, editors. In: Endotext [Internet]. South Dartmouth (MA): MDText.com, Inc.; 2000. 2017 Mar 3.
  17. Funder JW, Carey RM, Mantero F, Murad MH, Reincke M, Shibata H, Stowasser M, Young WF Jr. The Management of Primary Aldosteronism: Case Detection, Diagnosis, and Treatment: An Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab. 2016 May;101(5):1889-916.
  18. Scholl UI, Stolting G, Schewe J, Thiel A, Tan H, Nelson-Williams C, et al. CLCN2 chloride channel mutations in familial hyperaldosteronism type II. Nat Genet. 2018;50(3):349-54.
  19. Fernandes-Rosa FL, Daniil G, Orozco IJ, Goppner C, El Zein R, Jain V, et al. A gain-of-function mutation in the CLCN2 chloride channel gene causes primary aldosteronism. Nat Genet. 2018;50(3):355-61.
  20. Mulatero P, Williams TA, Monticone S, Veglio F. Is familial hyperaldosteronism underdiagnosed in hypertensive children? Hypertension. 2011 Jun;57(6):1053-5.
  21. Scholl UI, Stölting G, Schewe J, Thiel A, Tan H, Nelson-Williams C, Vichot AA, Jin SC, Loring E, Untiet V, Yoo T, Choi J, Xu S, Wu A, Kirchner M, Mertins P, Rump LC, Onder AM, Gamble C, McKenney D, Lash RW, Jones DP, Chune G, Gagliardi P, Choi M, Gordon R, Stowasser M, Fahlke C, Lifton RP. CLCN2 chloride channel mutations in familial hyperaldosteronism type II. Nat Genet. 2018 Mar;50(3):349-354.
  22. Perez-Rivas LG, Williams TA, Reincke M. Inherited Forms of Primary Hyperaldosteronism: New Genes, New Phenotypes and Proposition of A New Classification. Exp Clin Endocrinol Diabetes. 2019 Feb;127(2-03):93-99.
  23. Hassan-Smith Z, Stewart PM. Inherited forms of mineralocorticoid hypertension. Curr Opin Endocrinol Diabetes Obes. 2011 Jun;18(3):177-85.
  24. Choi M, Scholl UI, Yue P, Björklund P, Zhao B, Nelson-Williams C, Ji W, Cho Y, Patel A, Men CJ, Lolis E, Wisgerhof MV, Geller DS, Mane S, Hellman P, Westin G, Åkerström G, Wang W, Carling T, Lifton RP. K+ channel mutations in adrenal aldosterone-producing adenomas and hereditary hypertension. Science. 2011 Feb 11;331(6018):768-72.
  25. Geller DS, Zhang J, Wisgerhof MV, Shackleton C, Kashgarian M, Lifton RP. A novel form of human mendelian hypertension featuring nonglucocorticoid-remediable aldosteronism. J Clin Endocrinol Metab. 2008 Aug;93(8):3117-23.
  26. Monticone S, Buffolo F, Tetti M, Veglio F, Pasini B, Mulatero P. GENETICS IN ENDOCRINOLOGY: The expanding genetic horizon of primary aldosteronism. Eur J Endocrinol. 2018 Mar;178(3):R101-R111.
  27. Scholl UI, Goh G, Stolting G, de Oliveira RC, Choi M, Overton JD, et al. Somatic and germline CACNA1D calcium channel mutations in aldosterone-producing adenomas and primary aldosteronism. Nat Genet. 2013;45(9):1050-4.
  28. Costa-Barbosa FA, Giorgi RB, Kater CE. Focus on adrenal and related causes of hypertension in childhood and adolescence: Rare or rarely recognized? Arch Endocrinol Metab. 2022 Nov 17;66(6):895-907.
  29. Hinz L, Pacaud D, Kline G. Congenital adrenal hyperplasia causing hypertension: an illustrative review. J Hum Hypertens. 2018 Feb;32(2):150-157.
  30. Bulsari K, Falhammar H. Clinical perspectives in congenital adrenal hyperplasia due to 11beta-hydroxylase deficiency. Endocrine. 2017;55(1):19-36.
  31. Mimouni M, Kaufman H, Roitman A, Morag C, Sadan N. Hypertension in a neonate with 11 beta-hydroxylase deficiency. Eur J Pediatr. 1985;143(3):231-3.
  32. Kater CE, Biglieri EG. Disorders of steroid 17 alpha-hydroxylase deficiency. Endocrinol Metab Clin North Am. 1994;23(2):341-57.
  33. Biglieri EG, Kater CE, Brust N, Chang B, Hirai J. The mineralocorticoid hormone pathways in hypertension with hyperaldosteronism. Clin Exp Hypertens A. 1982;4(9-10):1677 -83.
  34. Biglieri EG, Herron MA, Brust N. 17-hydroxylation deficiency in man. J Clin Invest. 1966;45(12):1946-54.
  35. Chrousos GP, Vingerhoeds A, Brandon D, Eil C, Pugeat M, DeVroede M, Loriaux DL, Lipsett MB. Primary cortisol resistance in man. A glucocorticoid receptor-mediated disease. J Clin Invest. 1982 Jun;69(6):1261-9.
  36. Nicolaides NC, Charmandari E. Primary Generalized Glucocorticoid Resistance and Hypersensitivity Syndromes: A 2021 Update. Int J Mol Sci. 2021 Oct 7;22(19):10839.
  37. Nicolaides NC, Charmandari E. Novel insights into the molecular mechanisms underlying generalized glucocorticoid resistance and hypersensitivity syndromes. Hormones (Athens) 2017 Apr;16(2):124-138.
  38. Nicolaides NC, Charmandari E. Chrousos syndrome: from molecular pathogenesis to therapeutic management. Eur J Clin Invest. 2015 May;45(5):504-14.
  39. Nicolaides N, Lamprokostopoulou A, Sertedaki A, Charmandari E. Recent advances in the molecular mechanisms causing primary generalized glucocorticoid resistance. Hormones (Athens). 2016 Jan-Mar;15(1):23-34.
  40. Guemes M, Murray PG, Brain CE, Spoudeas HA, Peters CJ, Hindmarsh PC, et al. Management of Cushing syndrome in children and adolescents: experience of a single tertiary centre. Eur J Pediatr. 2016;175(7):967-76.
  41. Cicala MV, Mantero F. Hypertension in Cushing’s syndrome: from pathogenesis to treatment. Neuroendocrinology. 2010;92 Suppl 1:44-9.
  42. Magiakou MA, Chrousos GP. Cushing’s syndrome in children and adolescents: current diagnostic and therapeutic strategies. J Endocrinol Invest. 2002;25(2):181-94.
  43. Greening JE, Brain CE, Perry LA, Mushtaq I, Sales Marques J, Grossman AB, et al. Efficient short-term control of hypercortisolaemia by low-dose etomidate in severe paediatric Cushing’s disease. Horm Res. 2005;64(3):140-3.
  44. Tatsi C, Stratakis CA. Aggressive pituitary tumors in the young and elderly. Rev Endocr Metab Disord 2020;21(2):213–223
  45. 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.
  46. Tatsi C, Stratakis CA. Neonatal Cushing syndrome: a rare but potentially devastating disease. Clin Perinatol 2018;45:103–118.
  47. Chan LF, Storr HL, Grossman AB, Savage MO. Pediatric Cushing’s syndrome: clinical features, diagnosis, and treatment. Arq Bras Endocrinol Metabol. 2007;51(8):1261-71.
  48. Faucz FR, Tirosh A, Tatsi C, Berthon A, Hernández-Ramírez 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.
  49. Tatsi C, Flippo C, Stratakis CA. Cushing syndrome: Old and new genes. Best Pract Res Clin Endocrinol Metab. 2020 Mar;34(2):101418.
  50. Stratakis CA. Cushing syndrome caused by adrenocortical tumors and hyperplasias (corticotropin-independent Cushing syndrome). Endocr Dev 2008;13:117–132.
  51. De Venanzi A, Alencar GA, Bourdeau I, et al. Primary bilateral macronodular adrenal hyperplasia. Curr Opin Endocrinol Diabetes Obes 2014;21(3):177–184.
  52. Powell AC, Stratakis CA, Patronas NJ, et al. Operative management of Cushing syndrome secondary to micronodular adrenal hyperplasia. Surgery 2008; 143(6):750-758.
  53. Assie´ G, Libe´ R, Espiard S, et al. ARMC5 mutations in macronodular adrenal hyperplasia with Cushing’s syndrome. N Engl J Med 2013;369(22):2105–2114.
  54. Pereira RM, Michalkiewicz E, Sandrini F, Figueiredo BC, Pianovski M, Franca SN, et al. [Childhood adrenocortical tumors]. Arq Bras Endocrinol Metabol. 2004;48(5):651-8.
  55. Leal LF, Mermejo LM, Ramalho LZ, Martinelli CE Jr, Yunes JA, Seidinger AL, et al. Wnt/beta-catenin pathway deregulation in childhood adrenocortical tumors. J Clin Endocrinol Metab. 2011;96(10):3106-14.
  56. Boyce AM, Collins MT. Fibrous Dysplasia/McCune-Albright Syndrome: A Rare, Mosaic Disease of Gα s Activation. Endocr Rev. 2020 Apr 1;41(2):345-370.
  57. Weinstein LS, Shenker A, Gejman PV, Merino MJ, Friedman E, Spiegel AM. Activating mutations of the stimulatory G protein in the McCune-Albright syndrome. N Engl J Med. 1991 Dec 12;325(24):1688-95.
  58. Ohata Y, Yamamoto T, Mori I, Kikuchi T, Michigami T, Imanishi Y, et al. Severe arterial hypertension: a possible complication of McCune-Albright syndrome. Eur J Pediatr. 2009;168(7):871-6.
  59. 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 Sep;26(1):89-92.
  60. Carney JA, Gordon H, Carpenter PC, Shenoy BV, Go VL. The complex of myxomas, spotty pigmentation, and endocrine overactivity. Medicine (Baltimore). 1985 Jul;64(4):270-83.
  61. Stratakis CA. Carney Complex. 2003 Feb 5 [updated 2023 Sep 21]. In: Adam MP, Feldman J, Mirzaa GM, Pagon RA, Wallace SE, Bean LJH, Gripp KW, Amemiya A, editors. GeneReviews® [Internet]. Seattle (WA): University of Washington, Seattle; 1993–2024.
  62. Havekes B, Romijn JA, Eisenhofer G, Adams K, Pacak K. Update on pediatric pheochromocytomas. Pediatr Nephrol. 2009;24(5):943-950
  63. Sarathi V. Characteristics of Pediatric Pheochromocytoma/paragangliomas. Indian J Endocrinol Metab. 2017;21(3):470-474.
  64. Bholah R and Bunchman TE. Review of Pediatric Pheochromocytoma and Paraganglioma. Front Pediatr. 2017;5:155.
  65. Pamporaki C, Casey RT. Current views on paediatric phaeochromocytoma and paraganglioma with a focus on newest guidelines. Best Pract Res Clin Endocrinol Metab 2024 Nov 14:101957.
  66. Casey RT, Hendriks E, Deal C, Waguespack SG, Wiegering V, Redlich A, et al. International consensus statement on the diagnosis and management of phaeochromocytoma and paraganglioma in children and adolescents. Nat Rev Endocrinol. 2024 Dec;20(12):729-748.
  67. Romero M, Kapur G, Baracco R, et al. Treatment of hypertension in children with catecholamine-secreting tumors: a systematic approach. J Clin Hypertens 2015;17(9):720-725.
  68. Cui Y, Tong A, Jiang J, Wang F, Li C. Liddle syndrome: clinical and genetic profiles. J Clin Hypertens (Greenwich). 2017;19(5):524-9.
  69. Tetti M, Monticone S, Burrello J, Matarazzo P, Veglio F, Pasini B, et al. Liddle Syndrome: Review of the Literature and Description of a New Case. Int J Mol Sci. 2018;19(3).
  70. Enslow BT, Stockand JD, Berman JM. Liddle’s syndrome mechanisms, diagnosis and management. Integr Blood Press Control. 2019;12:13-22.
  71. Gordon RD, Geddes RA, Pawsey CG, O'Halloran MW. Hypertension and severe hyperkalaemia associated with suppression of renin and aldosterone and completely reversed by dietary sodium restriction. Australas Ann Med. 1970 Nov;19(4):287-94.
  72. Mabillard H, Sayer JA. The Molecular Genetics of Gordon Syndrome. Genes (Basel). 2019;10(12).
  73. Casas-Alba D, Vila Cots J, Monfort Carretero L, Martorell Sampol L, Zennaro MC, Jeunemaitre X, et al. Pseudohypoaldosteronism types I and II: little more than a name in common. J Pediatr Endocrinol Metab. 2017;30(5):597-601.
  74. Boyden LM, Choi M, Choate KA, Nelson-Williams CJ, Farhi A, Toka HR, et al. Mutations in kelch-like 3 and cullin 3 cause hypertension and electrolyte abnormalities. Nature. 2012;482(7383):98-102.
  75. Ceccato F, Mantero F. Monogenic Forms of Hypertension. Endocrinol Metab Clin North Am. 2019;48(4):795-810.
  76. Geller DS, Farhi A, Pinkerton N, Fradley M, Moritz M, Spitzer A, et al. Activating mineralocorticoid receptor mutation in hypertension exacerbated by pregnancy. Science. 2000;289(5476):119-23.
  77. Zennaro MC, Boulkroun S, Fernandes-Rosa F. Inherited forms of mineralocorticoid hypertension. Best Pract Res Clin Endocrinol Metab. 2015 Aug;29(4):633-45.
  78. Lu YT, Zhang D, Zhang QY, Zhou ZM, Yang KQ, Zhou XL, Peng F. Apparent mineralocorticoid excess: comprehensive overview of molecular genetics. J Transl Med. 2022;20(1):500.
  79. Maiter D, Chanson P, Constantinescu SM, Linglart A. Diagnosis and management of pituitary adenomas in children and adolescents. Eur J Endocrinol. 2024 Sep 30;191(4):R55-R69.
  80. Asa SL, Ezzat S. An update on pituitary neuroendocrine tumors leading to acromegaly and gigantism. J Clin Med. 2021;10(11): 2254.
  81. Rostomyan L, Daly AF, Petrossians P, et al. Clinical and genetic characterization of pituitary gigantism: an international collaborative study in 208 patients. Endocr Relat Cancer. 2015;22(5):745-757.
  82. Berta E, Lengyel I, Halmi S, Zrínyi M, Erdei A, Harangi M, Páll D, Nagy EV, Bodor M. Hypertension in Thyroid Disorders. Front Endocrinol (Lausanne). 2019 Jul 17:10:482.
  83. de Freminville JB, Amar L, Azizi M, Mallart-Riancho J. Endocrine causes of hypertension: literature review and practical approach. Hypertens Res. 2023 Dec;46(12):2679-2692.

 

Hyperparathyroidism in Chronic Kidney Disease

ABBREVIATIONS

[Ca2+e] : extracellular  Ca2+ concentration

Calcidiol : 25 OH vitamin D3

Calcitriol : 1,25 diOH vitamin D3

CaSR : Ca2+-sensing receptor

CKD : chronic kidney disease

CKD-MBD : CKD-associated mineral and bone disorder

EGF-R : epidermal growth factor receptor

ESKD, end-stage kidney disease

FGF23: fibroblast growth factor-23

FGFR-1, fibroblast growth factor receptor-1

FGFR-3, fibroblast growth factor receptor-3

Ki67 : Ki-67 antigen (cell-cycle linked antigen)

MEN-1 : multiple endocrine neoplasia type-1

Klotho: α-Klotho

PCNA : proliferating cell nuclear antigen (cell-cycle linked antigen)

PTH : parathyroid hormone

iPTH : intact PTH

PTHrp : parathyroid hormone related peptide

PTX : parathyroidectomy

TGF-β : transforming growth factor-β

VDR : vitamin D receptor

 

ABSTRACT

 

Chronic kidney disease (CKD) is associated with mineral and bone disorders (CKD-MBD) which starts early in the course of the disease and worsens with its progression. The main initial serum biochemistry abnormalities are increases in fibroblast growth factor 23 (FGF23) and parathyroid hormone (PTH) and decreases in 1,25 dihydroxy vitamin D (calcitriol) and soluble α-Klotho (Klotho), allowing serum calcium and phosphate to stay normal for prolonged time periods. Subsequently, serum 25 hydroxy vitamin D (calcidiol) decreases and in late CKD stages hyperphosphatemia develops in the majority of patients. Serum calcium may stay normal, decrease, or increase. Sclerostin, Dickkopf-1, and activin A also play a role in the pathogenesis of CKD-MBD. Both the synthesis and the secretion of PTH are continuously stimulated in the course of CKD, resulting in secondary hyperparathyroidism. In addition to the above systemic disturbances downregulation of vitamin D receptor, calcium-sensing receptor and Klotho expression in parathyroid tissue further enhances PTH overproduction. Last but not least, miRNAs have also been shown to be involved in the hyperparathyroidism of CKD. The chronic stimulation of parathyroid secretory function is not only characterized by a progressive rise in serum PTH but also by parathyroid gland hyperplasia. It results from an increase in parathyroid cell proliferation which is not fully compensated for by a concomitant increase in parathyroid cell apoptosis. Parathyroid hyperplasia is initially of the diffuse, polyclonal type. In late CKD stages it often evolves towards a nodular, monoclonal or multiclonal type of growth. Enhanced parathyroid expression of transforming growth factor-β and its receptor, the epidermal growth factor receptor, is involved in polyclonal hyperplasia. Chromosomal changes have been found to be associated with clonal outgrowth in some, but not the majority of benign parathyroid tumors removed from patients with end-stage kidney disease. In initial CKD stages skeletal resistance to the action of PTH may explain why low bone turnover predominates in a significant proportion of patients, together with other conditions that inhibit bone turnover such as reduced calcitriol levels, sex hormone deficiency, diabetes, Wnt inhibitors and uremic toxins. High turnover bone disease (osteitis fibrosa) occurs only later on, when increased serum PTH levels are able to overcome skeletal PTH resistance. The diagnosis of secondary uremic hyperparathyroidism and osteitis fibrosa relies mainly on serum biochemistry. X-ray and other imaging methods of the skeleton provide diagnostically relevant information only in severe forms. From a therapeutic point of view, it is important to prevent the development of secondary hyperparathyroidism as early as possible in the course of CKD. A variety of prophylactic and therapeutic approaches are available, as outlined in the final part of the chapter.

 

INTRODUCTION

 

Chronic kidney disease (CKD) is almost constantly associated with a systemic disorder of mineral and bone metabolism, at present named CKD-MBD (1). According to this definition, the disorder is manifested by either one or a combination of biochemical abnormalities (abnormal calcium, phosphate, PTH, or vitamin D metabolism), bone abnormalities (abnormal bone turnover, mineralization volume, linear growth, or strength) and vascular or other soft tissue calcification. Subsequently, the underlying pathophysiology has become more complex, with the progressive awareness that fibroblast growth factor 23 (FGF23), a-Klotho (subsequently called "Klotho") as well as the Wnt-b-catenin signaling pathway also play an important role (see below). CKD-MBD generally becomes apparent in CKD stage G3, i.e. at a glomerular filtration rate between 60 and 30 ml/min x 1.73 m2. Initially, it is characterized by a tendency towards hypocalcemia, fasting normo- or hypophosphatemia, and diminished plasma 25OH vitamin D (calcidiol) and 1,25diOH vitamin D (calcitriol) concentrations, together with a progressive increase in plasma FGF23 and intact parathyroid hormone (iPTH), a decrease in plasma soluble Klotho (2–5) and the development of renal osteodystrophy. Renal osteodystrophy often presents initially as adynamic bone disease and subsequently transforms into osteitis fibrosa or mixed bone disease (6). Pure osteomalacia is seen only infrequently. The low bone turnover observed in a significant proportion of patients in early stages of CKD could be due to the initial predominance of bone turnover inhibitory conditions such as resistance to the action of PTH, reduced serum calcitriol levels, sex hormone deficiency, diabetes, inflammation and malnutrition, and uremic toxins leading to the repression of osteocyte Wnt--catenin signaling and increased expression of Wnt antagonists such as sclerostin, Dickkopf-1 and secreted frizzled-related protein 4 (7,8). According to this scenario, high turnover bone disease occurs only later on, when sufficiently elevated serum PTH levels are able to overcome the skeletal resistance to its action. Even at that stage, over suppression of PTH by the administration of excessive calcium and/or vitamin D supplements can again induce adynamic bone disease (9). Nephrologists became progressively aware of the fact that the abnormally high serum phosphorus levels in late CKD stages, associated with either hyperparathyroidism or (mostly iatrogenically induced) hypoparathyroidism, may be detrimental to the patients not only in terms of abnormal bone structure and strength, but also in terms of the relative risk of soft-tissue calcifications and cardiovascular as well as all-cause mortality (10–13). As regards serum PTH levels, observational studies have consistently reported an increased relative risk of death in patients with CKD stage G5  and PTH values at the extremes, that is less than two or greater than nine times the upper normal limit of the assay (14,15). For PTH values within the range of two to nine times the upper normal limit reports of associations with relative risk of cardiovascular events or death in patients with CKD have been inconsistent. A recent observational study done in a very large patient population undergoing hemodialysis therapy in 9 countries confirmed the J-shaped association of all-cause or cardiovascular mortality with PTH and pointed in addition to a direct, linear relationship with total alkaline phosphatase (16). Interestingly, a direct association between plasma iPTH in the normal range and cardiovascular mortality was found even in elderly men without CKD (17).

 

From a clinical point of view, it may be useful to complete the term CKD-MBD by two syndromes, namely CKD-associated osteoporosis and CKD-associated cardiovascular disease, as proposed in a recent KDIGO controversies conference (18). Both hyper and hypoparathyroidism contribute to these syndromes.

 

SECONDARY HYPERPARATHYROIDISM IN CKD – SEQUENCE OF PLASMA BIOCHEMISTRY CHANGES IN EARLY CKD STAGES

 

Phosphate Retention

 

The precise sequence of metabolic and endocrine anomalies in incipient CKD leading to secondary hyperparathyroidism remains a matter of debate. Many years ago, it was postulated that a retention of phosphate in the extracellular space due to the decrease in glomerular filtration rate and the accompanying reduction in plasma ionized calcium concentration was the primary event in the pathogenesis of secondary hyperparathyroidism. These anomalies would only be transient, and a new steady state would rapidly be reached, with normalization of plasma calcium and phosphate in response to increased PTH secretion and the well-known inhibitory effect of this hormone on the tubular reabsorption of phosphate (“trade-off hypothesis” of Bricker and Slatopolsky) (19). However, this hypothesis has become less attractive since it was demonstrated that plasma phosphate is only rarely elevated in early CKD, and phosphate balance was found to be not positive but negative, at least in rats with moderate-degree CKD (20). Most often, plasma phosphate remains normal until CKD stages G4-G5 (2,21). It may even be moderately diminished in CKD (22).  Oral phosphate absorption remains normal in early stages of experimental CKD (20), and urinary phosphate excretion after an oral overload in patients with mild CKD was actually found to be accelerated (22). Nonetheless, one could argue that in early kidney disease normal or even subnormal concentrations of plasma phosphate might be observed after a slight, initial plasma phosphate increase following phosphate ingestion and stimulation

 

Figure 1. Schematic view of the time profile of disturbances in mineral hormones and bone turnover with progression of chronic kidney disease (CKD). From Drueke & Massy (6).

 

of the secretion of FGF23 and PTH, which in turn could overcorrect plasma phosphate rapidly, due to a potent inhibition of tubular phosphate reabsorption. However, a subsequent study identified slight increases of plasma phosphate in a large US population sample (NHANES III) with CKD stage G3 as compared to a healthy control population without evidence of kidney disease (23). Probably both the time of plasma phosphate determinations during the day as well as subtle changes in circulating and local factors involved in the control of phosphate balance determine the actual plasma level of phosphate in patients with CKD.

 

Fibroblast Growth Factor 23 (FGF23) and Klotho

 

FGF23 is recognized at present as a major, if not the most important player in the control of phosphate metabolism. It is mainly produced by osteocytes and osteoblasts. It decreases plasma phosphate by reducing tubular phosphate reabsorption similar to, but independent of PTH. Moreover, in contrast to PTH it decreases the renal synthesis of calcitriol. To activate its receptors, FGFR-1 and FGFR-3 on tubular epithelial cells requires the presence of Klotho (or more precisely α-Klotho), which in its function as a co-receptor confers FGF receptor specificity for FGF23 (24). Although initially Klotho expression was found only in the distal tubule, it has subsequently been demonstrated to occur in the proximal tubule as well. In line with this finding, the ablation of Klotho specifically from the distal tubules certainly resulted in a hyperphosphatemic phenotype, but to a lesser degree than in systemic or whole nephron Klotho knockout models (25). The regulation of FGF23 production and its interrelations with PTH, calcitriol, calcium, phosphate, and Klotho are complex, being only progressively unraveled. Isakova et al. provided evidence that serum FGF23 increased earlier than serum iPTH in patients with CKD (4). This observation is also supported by experiments in an animal model of CKD and the use of anti-FGF23 antibodies (26). However, the authors of a subsequent large-scale population study took issue with the claim that the increase in circulating FGF23 preceded that of PTH (27). Klotho expression in kidney, Klotho plasma levels and Klotho urinary excretion decrease with progressive CKD (28,29). The presence of Klotho is required to allow FGF23 to exert its action in the kidney. In addition, Klotho also exerts FGF23 independent effects. It acts from the tubular luminal side as an autocrine or paracrine enzyme to regulate transporters and ion channels. By modifying the Na-phosphate co-transporter NaPi2a it can enhance phosphaturia directly (30). However, its purported glycosidase activity has been put into question recently (31).  The issue then arises which comes first in CKD, an increase in FGF23 or a decrease in Klotho ? The answer remains a matter of debate (32). Some studies showed that secreted soluble Klotho levels decrease  before FGF23 levels increase (33,34) but the sequence of events may differ depending on experimental models and diverse clinical conditions (35). CKD is probably the most common cause of chronically elevated serum FGF23 levels (36). FGF23 production in bone is increased by phosphate, calcitriol, calcium, PTH, Klotho, and iron. Not all of these effects are necessarily direct. The effect of PTH clearly is both direct, via stimulation of PTH receptor-1 (PTH-R1) (37) and the orphan nuclear receptor Nurr1 (38), and indirect, via an increase in calcitriol synthesis (39). On the other hand, FGF23 inhibits PTH synthesis and secretion although in CKD this effect is mitigated by reduced Klotho and FGFR-1 expression in parathyroid tissue (40-42).

 

The increase in circulating FGF23 with the progression of CKD is independently associated with serum phosphate, calcium, iPTH, and calcitriol (43,44). Despite its direct inhibitory action on the parathyroid tissue FGF23 contributes to the progression of secondary hyperparathyroidism by reducing renal calcitriol synthesis and subsequently decreasing active intestinal calcium transport. Figure 2 shows the complex interrelations between serum FGF23, Klotho, phosphate, calcium, calcitriol, and parathyroid function in CKD.

 

Figure 2. Chronic kidney disease-associated mineral and bone disorder (CKD-MBD). Complex interactions between phosphate, FGF23, FGF receptor-1c (FGFR1c), Klotho, 1,25diOH vitamin D (calcitriol), renal 1α 25OH vitamin D hydroxylase (1α hydroxylase), vitamin D receptor (VDR), calcium, Ca-sensing receptor (CaSR), and parathyroid hormone (PTH). From Komaba & Fukagawa (45), modified.

 

Calcium Deficiency

 

In early CKD stages, disturbances of calcium metabolism may already be present. They include a calcium deficiency state due to a negative calcium balance resulting from low oral calcium intakes and impaired active intestinal calcium absorption (although a positive calcium balance can be induced by the ingestion of high amounts of calcium-containing phosphate binders) (46,47), a tendency towards hypocalcemia due to skeletal resistance to the action of PTH (48), and reduced calcium-sensing receptor (CaSR) expression in the parathyroid cell. All these factors contribute to the development of parathyroid overfunction (48,49). Their relative importance increases with the progression of CKD. It also depends on individual patient characteristics such as the underlying type of nephropathy, comorbidities, dietary habits, and amount of food intake.

 

Inhibition of Calcitriol Synthesis

 

The progressive loss of functioning nephrons and increased production of FGF23 are mainly responsible for the reduction in renal calcitriol synthesis, favoring the development of hyperparathyroidism. Although PTH in turn stimulates renal tubular 1α-OH vitamin D hydroxylase activity resistance to its action probably attenuates this counter-regulatory mechanism. Whether the direct inhibition of  1α-OH vitamin D hydroxylase activity by FGF23 is more powerful than its stimulation by PTH depends on several other additional factors such as the presence of  hyperphosphatemia, metabolic acidosis, and uremic toxins. The marked disturbances of the calcitriol synthesis pathway probably explain the long reported direct relation in patients with CKD between plasma calcidiol and calcitriol, and between plasma calcitriol and glomerular filtration rate (50). Such relations are not observed in people with normal kidney function.

 

Yet another hypothesis is based on the observation that calcidiol does not penetrate into proximal tubular epithelium from the basolateral side, but only from the luminal side. The complex formed by calcidiol and its binding protein (DBP) is ultrafiltered by the glomerulus, subsequently enters the tubular epithelium from the apical side via the multifunctional brush border membrane receptor megalin, and then serves as substrate for the renal enzyme, 1α-OH vitamin D hydroxylase for calcitriol synthesis (Figure 3) (51).  Reduced glomerular filtration leads to a decrease in calcidiol-DBP complex transfer into the proximal tubular fluid and hence reduced availability of calcidiol substrate for luminal reabsorption and calcitriol formation. However, the validity for the human situation of this mechanism established in the mouse has subsequently been questioned since 1α-OH vitamin D hydroxylase expression was found not only in proximal, but also in distal tubular epithelium of human kidney, that is in tubular areas in which megalin apparently is not expressed (52).

 

Figure 3. Schematic representation of the role of megalin in renal tubular 25 OH vitamin D reabsorption. Megalin is a multifunctional brush border membrane receptor expressed in the proximal renal tubule. It enables endocytic reabsorption of 25 OH vitamin D (calcidiol) filtered by the glomerulus and the subsequent synthesis of 1,25 diOH vitamin D (calcitriol) by mitochondrial 1-α 25 OH vitamin D hydroxylase. After Nykjaer et al (51).

 

Finally, the concentration of plasma calcidiol is diminished in the majority of patients with CKD (53,54). The reasons for this vitamin D deficiency state include insufficient hours of sunshine or sun exposure especially in the elderly, skin pigmentation, intake of antiepileptic drugs (like in general population), and in addition enhanced urinary excretion of calcidiol complexed to vitamin D binding protein (DBP) in presence of proteinuria, and loss into the peritoneal cavity in those on peritoneal dialysis treatment. All these factors may also contribute to the reduction in calcitriol synthesis (55). However, low plasma calcidiol has also been postulated to be a risk factor per se for secondary hyperparathyroidism, as suggested by an observational study in Algerian patients on hemodialysis with insufficient exposure to sunshine (56) and the observation that calcidiol is able to directly suppress PTH synthesis and secretion in bovine parathyroid cells in vitro, although with much less potency than calcitriol (57).

 

SECONDARY HYPERPARATHYROIDISM IN CKD – PLASMA BIOCHEMISTRY CHANGES IN ADVANCED CKD STAGES

 

The above-mentioned roles of relative or absolute deficiency states of calcium and vitamin D are steadily gaining importance with the progression of CKD, and phosphate becomes a major player.

 

Role of Hyperphosphatemia

 

In CKD stages G4-G5 hyperphosphatemia becomes an increasingly frequent feature (21), due to phosphate retention caused by the progressive loss of functioning nephrons and the increasing difficulty in augmenting glomerular phosphate ultrafiltration and to further reduce its tubular reabsorption when it is already maximally inhibited by high serum FGF23 and PTH levels.

 

FGF23 Excess and Klotho Deficiency

 

Circulating FGF23 may reach extremely high, maladaptive concentrations in patients with end-stage kidney disease (ESKD) (58). In parallel, a reduction of Klotho expression is observed in kidney and parathyroid tissue, as well as of soluble Klotho in the plasma and urine of patients and animals with CKD (28,29,32). The reduction is particularly marked in advanced stages of CKD. The resulting resistance to the action of FGF23 in kidney and parathyroid tissue favors hyperparathyroidism (see below).

 

Uremic Syndrome

 

The uremic syndrome itself could also play a role. In addition to phosphate, many other so-called uremic toxins, that is substances which accumulate in the uremic state, are known to interfere with vitamin D metabolism and action (59,60). Indoxyl sulfate has been shown to participate in the pathogenesis of skeletal resistance to the action of PTH (61), in addition to direct inhibitory effects on bone turnover (62).

 

SECONDARY HYPERPARATHYROIDISM IN CKD – MORPHOLOGICAL PARATHYROID TISSUE CHANGES

 

Normal parathyroid glands are mainly composed of chief cells and few oxyphil cells. In patients with CKD and secondary hyperparathyroidism, the parathyroid oxyphil cell content often increases considerably. Studies showed that such patients whose parathyroid glands had high oxyphil cell counts were likely to be relatively refractory to drug treatment (63). A recent report demonstrated the existence of a chief-to-oxyphil cell trans-differentiation characterized by gradual mitochondrial enrichment associated with the uremic milieu. The mitochondrial enrichment and cellular proliferation of chief cell and oxyphil cell nodules decreased significantly after leaving the uremic milieu via transplantation into nude mice (64).

 

MECHANISMS INVOLVED IN THE PATHOGENESIS OF SECONDARY HYPERPARATHYROIDISM

 

Generally speaking, there are at least two major different mechanisms which determine the magnitude of secondary hyperparathyroidism in CKD. The first is an increase in PTH synthesis and secretion per cell, and the second an increase in parathyroid gland mass, mostly due to enhanced cell proliferation (hyperplasia), and to a lesser degree also an increase in cell size (hypertrophy) (see schematic representation in Figure 4). Whereas acute stimulation of PTH synthesis and/or release generally occurs in the absence of enhanced cell growth, these two processes appear to be tightly linked under conditions of chronic stimulation. The main factors involved in the control of the two processes are again calcitriol, calcium, and phosphate whereas the direct effects of FGF23 appear to be essentially limited to the control of PTH synthesis and secretion. In the following, the disturbances of the mechanisms controlling parathyroid function will be discussed subsequently for each of these three factors, although there are numerous interactions between them. Thereafter, the influence of other factors and comorbid conditions related to CKD will be presented.

 

Figure 4. Pathogenesis of secondary hyperparathyroidism. Schematic representation of parathyroid hormone (PTH) synthesis and secretion (upper part) and parathyroid cell proliferation and apoptosis (lower part), as regulated by a number of hormones and growth factors.

Calcitriol

 

The above-mentioned decrease in plasma calcitriol aggravates hyperparathyroidism via several mechanisms. The first is direct and results from an insufficient inhibition of PTH synthesis due to low circulating calcitriol levels and a disturbed action of calcitriol at the level of the preproPTH gene. It is well established that calcitriol, after forming a complex with its receptor, vitamin D receptor (VDR) and heterodimerizing with the retinoic acid receptor (RXR), directly inhibits preproPTH gene transcription by binding to a specific DNA response element (VDRE) located in the 5’-flanking region of the gene. In CKD, in addition to low extracellular concentrations of calcitriol, at least two other factors interfere with calcitriol’s action on the preproPTH gene (65). The first factor is a reduced expression of the VDR gene in hyperplastic parathyroid tissue of CKD patients (66). This reduction is particularly marked in nodular, as compared to diffusely hyperplastic parathyroid tissue. The second factor is reduced binding of calcitriol to VDR, slowed nuclear migration of the calcitriol–VDR complex and less efficient inhibitory action on the preproPTH gene, in association with the uremic state (60,67). Of note, the extracellular Ca2+ concentration [Ca2+e] appears to  play a role in the regulation of VDR expression. In rat parathyroid glands, low [Ca2+e] reduced VDR expression independently of calcitriol, whereas high [Ca2+e] increased it (68). Hypocalcemia may attenuate by this mechanism the feedback of increased plasma calcitriol concentrations on the parathyroids.

 

The second level at which calcitriol regulates PTH gene expression involves calreticulin. Calreticulin is a calcium binding protein which is present in the endoplasmic reticulum of the cell and also may have a nuclear function. It regulates gene transcription via its ability to bind a protein motif in the DNA-binding domain of nuclear hormone receptors of sterol hormones. Sela-Brown et al. proposed that calreticulin might inhibit vitamin D's action on the PTH gene, based on in vitro and in vivo experiments (69). They fed rats either a control diet or a low calcium diet, the latter leading to increased PTH mRNA levels despite high serum calcitriol levels that would be expected to inhibit PTH gene transcription. Their postulate that high calreticulin levels in the nuclear fraction might prevent the effect of calcitriol on the PTH gene was strongly supported by the observation that hypocalcemic rats had increased levels of calreticulin protein in parathyroid nuclear fraction. This could explain why hypocalcemia leads to increased PTH gene expression despite high serum calcitriol levels and might also be relevant for the refractoriness of secondary hyperparathyroidism to calcitriol treatment observed in many patients with CKD.

 

The third mechanism of calcitriol’s action could be indirect, via a stimulatory effect on parathyroid CaSR expression, as shown by Brown et al (70) and subsequently confirmed by Mendoza et al (71).

 

The fourth mechanism is again a direct one. It is due to the well-known inhibitory effect of vitamin D on cell proliferation and the induction of differentiation towards mature, slowly growing cells. A decrease in plasma calcitriol and a perturbed action at molecular targets favor abnormal cell growth in general. This is the case with parathyroid tissue as well, and parathyroid hyperplasia ensues (72). The important role of vitamin D in the pathogenesis of parathyroid hyperplasia of experimental uremia was first shown by Szabo et al (73). These authors administered increasing doses of calcitriol to rats either at the time of inducing chronic kidney failure or at a later time point, when uremia was already well established. They were able to prevent parathyroid cell proliferation entirely when calcitriol was given in initial CKD stages, but not when given later. Fukagawa et al showed that pharmacologic doses of calcitriol repressed c-myc expression in the parathyroid tissue of uremic rats and suggested that the hormone might suppress parathyroid hyperplasia by this pathway (74). In contrast, Naveh-Many et al. (75) failed to observe such an antiproliferative effect of calcitriol in parathyroid cells of uremic rats but they administered the hormone for only three days. The short-term administration may not have been sufficient for an efficacious suppression of cell turnover.

 

To answer the question of a possible direct calcitriol action on parathyroid cells, several studies were performed in experimental models in vitro. Nygren et al. (76) showed in primary cultures of bovine parathyroid cells, maintained in short-term culture, that these cells underwent significant increases both in number and size in response to fetal calf serum, and that the addition of 10-100 ng/mL calcitriol almost completely inhibited cell proliferation whereas cell hypertrophy was unaffected. Kremer et al (77) subsequently confirmed in same parathyroid cell model that calcitriol exerted an anti-proliferative action. They further suggested that this inhibition occurred via a reduction of c-myc mRNA expression. One report showed an inhibitory action under long-term culture conditions (up to 5 passages) of the effect of calcitriol on bovine parathyroid cell proliferation (78). Our group subsequently confirmed such a direct antiproliferative effect of calcitriol in a human parathyroid cell culture system derived from hyperplastic parathyroid tissue of patients with severe secondary uremic hyperparathyroidism (79) (Figure 5).

 

Figure 5. Antiproliferative effect of 1,25 diOH vitamin D on parathyroid cells. Reduction of parathyroid cell proliferation in response to increasing medium 1,25diOH vitamin D (calcitriol) concentrations in the incubation milieu of a human parathyroid cell culture system, with parathyroid cells derived from hyperplastic parathyroid tissue of patients with severe secondary uremic hyperparathyroidism. From Roussanne et al (79).

 

A fifth mechanism is the potential association between parathyroid function and vitamin D receptor (VDR) polymorphism. Fernandez et al (80) separated patients on hemodialysis therapy with similar serum calcium levels and dialysis vintage into two groups, according to their serum iPTH levels, namely low PTH (<12 pmol/L) or high PTH (>60 pmol/L). They found that the BB genotype and the B allele were significantly more frequent in the low PTH than in the high PTH group (32.3 % vs 12.5 %, and 58.8% vs 39.1%, respectively). This information suggests that VDR gene polymorphism influences parathyroid function in CKD. Similar results have been reported in a large sample of Japanese patients undergoing hemodialysis (81). In this latter study, after excluding patients with diabetes and patients with a dialysis vintage of less than 10 years, the authors observed lower plasma iPTH levels in ESKD patients with BB than with Bb or bb alleles. A relationship between Apa I polymorphism (A/a alleles) and the severity of hyperparathyroidism has also been sought in Japanese patients on hemodialysis (82). Plasma PTH levels in AA and Aa groups were approximately half that of the aa group. However, other groups found no difference in PTH levels for various VDR polymorphisms (83-85). Moreover, although in some clinical conditions VDR polymorphism may be associated with variations of the half-life of the VDR gene transcript (86) or of VDR function (87), there has been no report showing that in uremic patients with secondary hyperparathyroidism the density of parathyroid cell VDR varied with different VDR genotypes. In addition, although VDR genotypes may have some influence on the degree of parathyroid cell proliferation, the mechanism by which this could occur remains unknown.

 

Finally, Egstrand et al recently provided experimental evidence for the role of a circadian clock operating in parathyroid glands. This clock and downstream cell cycle regulators were shown to be disturbed in uremic rats, potentially contributing to dysregulated parathyroid cell proliferation in secondary hyperparathyroidism  (88,89).

 

Calcium

 

[Ca2+e] is the primary regulator of PTH secretion. Small changes in serum Ca2+ concentration result in immediate changes of PTH release, which are either short-lived or long-lived depending on the velocity of the restoration of serum Ca2+ towards normal. Thus, postprandial urinary calcium excretion was increased in patients with CKD as it was in healthy volunteers, but only in the patients was this accompanied by significantly reduced serum Ca2+ and increased PTH levels (90). The inverse relation between Ca2+ and PTH in the circulation obeys a sigmoidal curve (91). While the majority of in vitro studies have reported a decreased responsiveness of hyperplastic parathyroid cells to changes in [Ca2+e] in vivo studies have not always confirmed this. These discrepant findings are likely due to different methods used to assess the dynamics of PTH secretion (92).

 

Several in vitro studies have shown that the set point of calcium for PTH secretion (that is the Ca2+ concentration required to produce half maximal PTH secretion) is greater in parathyroid cells from primary adenomas and secondary (uremic) hyperplastic parathyroid glands than in normal parathyroid cells (93). Such a relatively poor response to [Ca2+e] should contribute to the increased PTH levels observed in uremic patients with secondary hyperparathyroidism.

 

We and others have demonstrated that both primary parathyroid adenoma and secondary uremic, hyperplastic parathyroid gland tissue exhibit a decrease in the expression of CaSR protein (94,95). In secondary uremic hyperparathyroidism, there is a significant decrease of CaSR in diffusely growing hyperplastic tissue, with the decrease being even more marked in nodular areas (characteristic of advanced hyperparathyroidism with autonomously growing cells) (94) (Figure 6). Since changes in intracellular Ca2+ elicited by hyper or hypocalcemia depend on the expression and activity of the CaSR, any decrease explains, at least in part, an impaired intracellular calcium response to [Ca2+e] and hence a reduced inhibitory effect of the cation on PTH secretion. Several factors contribute to the downregulation of CaSR expression and/or activity in CKD including reduced calcitriol levels (70,71), low magnesium levels (94), dietary phosphate intake (probably indirect action) (97), and metabolic acidosis (98). However, raising extracellular phosphate has been recently shown to also exert a direct inhibitory action on parathyroid cell CaSR activity of isolated human parathyroid cells and thus to increase PTH secretion (99). Almaden et al studied calcium-regulated PTH response in vitro, using respectively primary parathyroid adenoma and uremic hyperplastic tissue, the latter either of the nodular or the diffuse type (100). They found that in primary adenoma tissue PTH secretion was less responsive to an increase in [Ca2+e] than in uremic hyperplastic parathyroid tissue; among the latter, nodular tissue was less responsive than diffusely hyperplastic tissue. The decreased secretory response to Ca2+ observed in nodular uremic hyperplasia may be explained by the markedly reduced CaSR expression in CKD, as demonstrated by Gogusev et al (94). This decrease can be overcome, at least partially, by PTHrp, as shown by Lewin et al (101), who observed that the administration of PTHrp significantly stimulated the impaired secretory capacity of the parathyroid glands of uremic rats in response to hypocalcemia. Of note, this observation also implies that the PTH/PTHrp receptor is expressed on the parathyroid cell.

 

Figure 6. Calcium-sensing receptor (CaSR) expression in normal and hyperplastic parathyroid glands. Normal parathyroid tissue (in blue), secondary (2°) hyperparathyroidism from dialysis patients (glands with diffuse hyperplasia in yellow; glands with nodular hyperplasia in green), and primary (1°) adenomatous hyperparathyroidism from patients with conserved kidney function (in orange). Decreased expression of both CaSR protein and mRNA in the majority of hyperplastic glands, with a particularly marked decrease in nodular type secondary uremic hyperparathyroidism. After Gogusev et al (94).

 

The shift of the calcium set point to the right in patients on dialysis in vivo has been a much less constant finding than the right shift observed in the above-mentioned studies in uremic parathyroid tissue in vitro. While in patients with CKD and a mild to moderate degree of hyperparathyroidism the set point was most often found to be normal, an altered set point was observed in presence of severe parathyroid overfunction with hypercalcemia (102). This anomaly could at least in part be due to CaSR down-regulation. As regards CKD patients with less severe parathyroid overfunction, a considerable controversy took place regarding the results of in vivo assessments of parathyroid gland function (103,104). In part, disparities among study results reflected technical differences in experimental methods and/or variations in the mathematical modeling of PTH secretion in vivo (105).  Another difficulty in interpreting the results of in vivo dynamic tests of parathyroid gland function relates to the issue of parathyroid gland size.  Because there is a basal, or non-suppressible, component of PTH release from the parathyroid cell even at high [Ca2+e], excessive PTH secretion may result solely from increases in parathyroid gland mass (102). This can theoretically occur in the absence of any defect in calcium sensing at the level of the parathyroid cell.  Since parathyroid gland hyperplasia is present to some extent in nearly all patients with CKD stages G3-G5, alterations in PTH secretion due to increases in parathyroid gland mass cannot readily be distinguished from those attributable to changes in calcium-sensing by the parathyroid cell using the four-parameter model for in vivo studies (104).

 

The precise role of calcium in parathyroid cell proliferation is still a matter of discussion. On the one hand, calcium deficiency, in the presence or absence of hypocalcemia and vitamin D deficiency (or reduced production of calcitriol), is considered to be a stimulus of parathyroid hyperplasia. Thus Naveh-Many et al showed that calcium deprivation, together with vitamin D deficiency, greatly enhanced the rate of parathyroid cell proliferation in normal rats and also in rats with CKD, using the cell cycle-linked antigen, PCNA (75). The concomitant decrease in CaSR expression in CKD, as observed in parathyroid glands of both dialysis patients and uremic rats (94, 106), should theoretically enhance parathyroid tissue hyperplasia further. Indirect support for this contention came from the observation that the administration of the calcimimetic compound NPS R-568, a CaSR agonist, led to the suppression of parathyroid cell proliferation in rats with CKD (107). However, in the study by Naveh-Many et al the dietary regimen was poor in both calcium and vitamin D. On the other hand, Wernerson et al observed parathyroid cell hypertrophy, not hyperplasia when feeding normal rats on a calcium-deficient diet alone, in the absence of concomitant vitamin D deficiency (108).

 

The question of whether the effect of calcium is direct or indirect remains therefore unsolved at present. It can only be answered by in vitro studies. For a long time, available culture systems using normal parathyroid cells did not allow maintaining functionally active cells for prolonged time periods. They were all characterized by a rapid and significant loss of PTH secretion within 3 to 4 days (109-111). One culture model has been described using bovine parathyroid cell organoids, which maintained the ability to modulate PTH secretion in response to [Ca2+e] and tissue-like morphology for 2 weeks (112). However, only one long-term study using bovine parathyroid cells demonstrated a release of bioactive bovine PTH but with reduced sensitivity to [Ca2+e] (113). Other reports showed that the rapid decrease in PTH responsiveness of cultured bovine parathyroid cells to changes in [Ca2+e] was associated with a marked reduction in CaSR expression (114,115). Yet other parathyroid cell-derived culture models proposed in the literature were in fact devoid of any PTH secretory capacity (116,117).

 

To study direct effects of [Ca2+e] on the parathyroid cell in vitro, we developed a functional human parathyroid cell culture system capable of maintaining the regulation of its secretory activity and expression of extracellular CaSR mRNA and protein for several weeks. For this purpose, we used parathyroid cells derived from hyperplastic parathyroid tissue of patients on hemodialysis with severe secondary hyperparathyroidism (118). In a subsequent study with this experimental model, we surprisingly obtained evidence that parathyroid cell proliferation index, as estimated by [3H]-thymidine incorporation into an acid-precipitable fraction as a measure of DNA synthesis, could be directly stimulated by high [Ca2+e] in the incubation medium, compared with low [Ca2+e] (79) (Figure 7).

 

Figure 7. Effect of medium calcium concentration on parathyroid cell proliferation. Stimulatory effect on parathyroid cell proliferation (measured by KI-67 staining method) of high medium calcium concentrations in the incubation milieu of a human parathyroid cell culture system derived from hyperplastic parathyroid tissue of patients with severe secondary uremic hyperparathyroidism. From Roussanne et al (79).

 

We confirmed this finding in independent experiments using the cell cycle-linked antigen Ki-67 to determine parathyroid cell proliferation. However, the addition of the calcimimetic NPS R-467 to the incubation medium led to a decrease in cell proliferation (Figure 8).

 

Figure 8. Inhibitory effect of calcimimetic on parathyroid cell proliferation. Human parathyroid cells derived from hyperplastic parathyroid tissue of patients with severe secondary uremic hyperparathyroidism were maintained in high medium calcium incubation milieu and exposed to increasing concentrations of calcimimetic NPS R-467. Determination of cell proliferation by [3H]-thymidine incorporation method. After Roussanne et al (79).

 

Of interest, calcimimetics have subsequently been shown to upregulate the expression of  both CaSR (71,119) and VDR (67) in parathyroid glands of uremic rats. In an attempt to unify our apparently contradictory in-vitro observations with respect to findings made in vivo, we proposed the following hypothesis. The effect of calcium on parathyroid cell proliferation could occur along two different pathways, via two distinct mechanisms. Inhibition of proliferation would occur via the well-known parathyroid CaSR-dependent pathway, whereas stimulation of proliferation would occur via an alternative pathway (Figure 9). Note that the parathyroid tissue samples used in our study stemmed from uremic patients with long-term ESKD and severe secondary hyperparathyroidism. Since such parathyroid tissue generally exhibits decreased CaSR expression, it is possible that the number of CaSR expressed in the parathyroid cell membranes of our culture model was insufficient to inhibit cell proliferation. Of note, the human CaSR gene has two promoters and two 5’ untranslated exons; therefore, the alternative usage of these exons leads to production of multiple CaSR mRNAs in parathyroid cells (120). The expression of CaSR mRNA produced by one of the two promoters of CaSR gene is specifically reduced in parathyroid adenomas, suggesting a role in PTH hypersecretion and proliferation. Moreover, the membrane-bound 550-kD Ca2+-binding glycoprotein megalin, which belongs to the low-density lipoprotein receptor superfamily, has been identified in parathyroid chief cells as another putative calcium-sensing molecule. It could be involved in calcium-regulated cellular signaling processes as well (121). Based on these observations, it is possible that parathyroid cells express multiple CaSR-like molecules. Consequently, if the well-known parathyroid CaSR is downregulated, parathyroid cell proliferation induced by increases in [Ca2+e] may occur via a different type of CaSR. Another possibility is an alteration in post-receptor signal transduction that could occur in hyperparathyroid states or under cell culture conditions. Our observations are in line with findings by Ishimi et al. which were incompatible with a direct effect of low [Ca2+e] in the pathogenesis of parathyroid hyperplasia (78). However, any extrapolation from such in vitro observations to the in vivo setting should be done with caution. Further work is needed to define the precise pathway(s) by which calcium regulates parathyroid tissue growth.

 

The effect of CaSR activation by calcimimetics on parathyroid cell proliferation may also depend on the timing of calcimimetic administration since CaSR expression exhibits significant diurnal rhythmicity. Egstrand et al recently showed in rats with CKD that the inhibitory effect of cinacalcet administration on parathyroid cell proliferation effectively depended on its timing, suggesting a possible benefit of using chronotherapy (122).

 

Figure 9. Hypothesis of the regulation of parathyroid cell proliferation by extracellular [Ca2+]. 1) Inhibitory pathway via the calcium-sensing receptor (CaR). 2) Stimulatory pathway via an unknown transmembrane transduction mechanism. Physiologically, pathway 1 predominates over pathway 2. In presence of parathyroid hyperplasia with calcium-sensing receptor down-regulation pathway 2 could become dominant and favor parathyroid cell proliferation over suppression. After Roussanne et al (79).

 

Phosphate

 

A direct action of phosphate on PTH secretion by the parathyroid cell has long been suspected. However, it has been formally demonstrated in vitro only in 1996 (123-125). This demonstration required the use of either intact parathyroid glands (from rats) (Figure 10) or parathyroid tissue slices (from cows) whereas it had not been possible to obtain such direct stimulation using the classic model of isolated bovine parathyroid cells. Elevating plasma phosphate concentration in the incubation milieu of experimental models using intact (or partially intact) parathyroid tissue led to a stimulation of PTH secretion within some hours, in the absence of any change in [Ca2+e]. This effect could be abrogated by an increase in cytosolic Ca2+ concentration (126).

 

 

Figure 10. Direct inhibition of parathyroid hormone (PTH) secretion by phosphate. Intact parathyroid glands obtained from normal rats were maintained in culture and exposed to increasing phosphate concentrations in the incubation medium. After Almaden et al (126).

Silver’s group reported subsequently that phosphate, like calcium, regulates pre-pro-PTH gene expression post-transcriptionally by changes in protein-PTH mRNA interactions at the 3'-UTR which determine PTH mRNA stability. The authors identified the minimal sequence required for protein binding in the PTH mRNA 3'-UTR and determined its functionality. They found that the conserved PTH RNA protein-binding region conferred responsiveness to calcium and phosphate and determined PTH mRNA stability and levels (127). Thus, a low calcium diet increased stability, whereas a low phosphate diet decreased stability of PTH mRNA (128) (Figure 11). The PTH mRNA 3’-untranslated region-binding protein was subsequently identified by this research group as adenylate-uridylate-rich element RNA binding protein 1 (AUF1) (129).

 

Figure 11. Post-transcriptional regulation of PTH mRNA stability by calcium, phosphate, and kidney failure. Pre-pro-PTH gene expression is modulated via changes in protein-PTH mRNA interactions at the 3'-UTR region which determine PTH mRNA stability. Low calcium diet increases stability, whereas low phosphate diet decreases stability of PTH mRNA. PTH mRNA protective factor AUF1 in yellow, PTH mRNA degrading endonuclease in orange. After Yalcindag et al (128,129).

 

In addition to its stimulatory effect on PTH secretion, a high phosphate diet also rapidly induces parathyroid overfunction and hyperplasia, as shown in experimental animal models (130). Subsequent studies showed that hyperphosphatemia induced by phosphate-rich diets in animals with CKD led to parathyroid hyperplasia even when changes in plasma Ca2+ and calcitriol concentration were carefully avoided, pointing to a direct effect of phosphate on cell proliferation (75,125). Conversely, early dietary phosphate restriction in the course of CKD was capable of preventing both PTH oversecretion and parathyroid hyperplasia (75,125,131). Interestingly, dietary phosphate restriction following phosphate overload in rats led to an immediate decrease in PTH secretion despite no regression of parathyroid gland size (132).

 

Our group wished to know whether the stimulatory effect of phosphate on parathyroid cell proliferation was direct or indirect. To answer this question, we used the above-described in vitro model of human uremic parathyroid cells maintained in long-term culture (118). We could show that cell proliferation index was directly stimulated by high phosphate concentrations in the incubation medium, compared with low phosphate concentration (79) (Figure 12). These experiments demonstrated that phosphate is capable of stimulating not only PTH secretion, but also of inducing parathyroid tissue hyperplasia by a direct mode of action.

 

 

Figure 12. Direct stimulatory effect of extracellular phosphate on parathyroid cell proliferation. Response of parathyroid cell growth to increasing phosphate concentrations in the incubation milieu of a human parathyroid cell culture system derived from hyperplastic parathyroid tissue of patients with severe secondary uremic hyperparathyroidism. Determination of cell proliferation by [3H]-thymidine incorporation method. After Roussanne et al (133).

 

FGF23 plays an important role in the control of plasma phosphate. Elevated FGF23 in CKD allows efficient inhibition of proximal tubular phosphate reabsorption and maintenance of plasma phosphate in the normal range. However, since hyperphosphatemia directly stimulates PTH secretion, its correction by FGF23 indirectly leads to a reduction of PTH release, in addition to the direct inhibitory action of FGF23 on parathyroid secretory activity (see above).

 

FGF23 and Klotho

 

As mentioned before, FGF23 directly inhibits PTH synthesis and secretion via its action on parathyroid FGFR-1 (134). FGF23 also increases parathyroid CaSR and VDR expression, further contributing to the suppression of PTH by this hormone (135). In advanced stages of CKD FGF23’s effect is partially or even completely abolished owing to downregulation of the expression of its receptor and co-receptor Klotho (40-42). Of interest, in the early stages of CKD there could be an initial upregulation of FGFR-1 and Klotho, with enhanced PTH secretion in response to FGF23 via an Na+/K+ -ATPase driven pathway (136). Subsequent findings suggested a function for Klotho in suppressing PTH biosynthesis and parathyroid gland growth, even in the absence of CaSR (137). Moreover, they pointed to a physical interaction between Klotho and CaSR. Specific deletion of CaSR in parathyroid tissue led to elevated serum PTH levels and parathyroid gland hyperplasia, and additional deletion of Klotho in parathyroid glands exacerbated this condition. However, a more recent review concluded that the role of parathyroid Klotho remains controversial (138).

 

MicroRNAs

 

Shilo et al provided evidence for the important role of microRNAs (miRNAs) in the physiological regulation of parathyroid function, and its dysregulation in the secondary hyperparathyroidism of CKD (139,140). The authors found an abnormal regulation of many miRNAs in experimental uremic hyperparathyroidism supporting a key role for miRNAs in this condition. Specifically, their studies showed that inhibition of the abundant let-7 family increased PTH secretion in normal and uremic rats, as well as in mouse parathyroid organ cultures. Conversely, the inhibition of the upregulated miRNA-148 family prevented the increase in serum PTH of uremic rats, and inhibition of let-7 family also reduced PTH secretion in parathyroid organ cultures. Thus, miRNA dysregulation represents yet another crucial step in the pathogenesis of secondary hyperparathyroidism.

 

Other Factors and Conditions

 

As already pointed out above, the uremic state with its accumulation of numerous uremic toxins is another long suspected, albeit yet ill-defined factor in the pathogenesis of secondary hyperparathyroidism. Recently, several pieces of evidence have been provided in favor of the role of the uremic state which interferes with the binding of calcitriol to VDR (60) and with the nuclear uptake of the hormone-receptor complex (67). This should have consequences not only for PTH synthesis and secretion, but also for parathyroid cell proliferation. Another mechanism of excessive proliferation involves the mTOR pathway, which has been shown to be activated in secondary hyperparathyroidism (141). Inhibition of mTOR complex 1 (mTORC1) by rapamycin decreased parathyroid cell proliferation in vivo and in vitro. Parathyroid-specific genetic ablation of mTOR (PT-mTOR−/−) in mice resulted in disrupted gland structure but normal serum PTH levels. Conversely, mice with parathyroid-specific deletion of the tuberous sclerosis complex-1 gene (Tsc1) leading to mTORC1 hyperactivation, exhibited enlarged parathyroid glands and elevated serum PTH and calcium levels (142). Of note, despite impaired gland structure, PT-mTOR−/− mice with CKD were able to increase serum PTH to levels similar to controls (143). In keeping with this experimental finding, kidney transplant recipients treated with mTOR inhibitors, as compared to those treated with calcineurin inhibitors, had reduced serum PTH levels and a lower incidence of secondary hyperparathyroidism (143).

 

Patients with diabetes receiving dialysis therapy have relatively low plasma PTH levels, as compared to those without diabetes. The high incidence of low bone turnover in uremic patients with diabetes (144-147) has been attributed to low levels of biologically active PTH, possibly via an inhibition of PTH secretion or a modification of the PTH peptide by the accumulation of advanced glycation end-products such as pentosidine (140) or else oxidative modifications of PTH (149,150). However, experimental studies have demonstrated that the metabolic abnormalities associated with diabetes can also directly decrease bone turnover, independent of PTH (151). In general, patients with low bone turnover tend to develop hypercalcemia when on a normal or high dietary calcium intake, probably due to a diminished skeletal capacity of calcium uptake. This in turn tends to reduce plasma PTH. Thus, not only does hypoparathyroidism promote adynamic bone disease but adynamic bone disease also favors hypoparathyroidism. Another issue is whether in patients with diabetes abnormalities such as hyperglycemia and insulin deficiency or resistance may directly affect parathyroid function. In an in vitro study using dispersed bovine parathyroid cells, high glucose and low insulin concentrations suppressed the PTH response to low Ca2+ concentration (152). These results are compatible with the view that diabetes directly inhibits parathyroid function. However, when uremic rats were fed on a high phosphate diet to induce secondary hyperparathyroidism, the presence of diabetes did not prevent it (152).

 

Aluminum bone disease is generally associated with low serum PTH levels (153-154) and a decreased PTH response to stimulation by hypocalcemia (155,156). In aluminum intoxicated patients, high amounts of aluminum are also found in parathyroid tissue (157). The relatively low PTH levels may reflect either an inhibition of PTH secretion by the hypercalcemia commonly observed in this condition (158) or a direct inhibitory effect of aluminum on parathyroid cell function (159). Direct toxic effects of the trace element have also been demonstrated in studies in vitro (160,161). Observations made in experimental animals and results of clinical studies have been less clear. Whereas some authors found that aluminum overload did not decrease plasma PTH levels in vivo (160,161), others reported a decrease (162,163). Whatever the mechanisms involved, subsequent clinical data clearly showed that the introduction of an aluminum-free dialysis fluid and the discontinuation of aluminum contamination of the dialysate or aluminum removal with deferoxamine resulted in an increase in plasma PTH levels and in PTH response to hypocalcemia (164). Thus, although there appears to be an association between aluminum toxicity and parathyroid gland function, the interaction is complex.

 

Post-Receptor Mechanisms Involved in Polyclonal Parathyroid Tissue Growth

 

As pointed out above, calcitriol reduces parathyroid cell proliferation by decreasing the expression of the early gene, c-myc. This gene modulates cell cycle progression from G1 to S phase. A decrease in plasma calcitriol and/or a disturbance of its action at the level of the parathyroid cell, which are both frequently observed in uremic patients, may cause disinhibition of c-myc expression and progression into the cell cycle. Another mode of action involves the cyclin kinase inhibitor p21WAF1. Calcitriol has long been shown to induce the differential expression of p21WAF1 in the myelo-monocytic cell line U937 and to activate the p21 gene transcriptionally in a VDR-dependent, but p53-independent, manner, thereby arresting parathyroid growth (165). Slatopolsky’s group further showed that the administration of calcitriol to moderately uremic rats enhanced parathyroid p21 expression and prevented high phosphate-induced increase in parathyroid TGF-β content (165). In addition, these authors found that calcitriol altered membrane trafficking of the epithelial growth factor receptor (EGFR), which binds both EGF and TGF-β, and down-regulated EGFR mediated growth signaling (166). Induction of p21 and reduction of TGF-β content in the parathyroid glands also occurred when uremia-induced parathyroid hyperplasia was suppressed by high dietary Ca intake. The mechanisms by which a phosphate-rich diet and hyperphosphatemia induce parathyroid hyperplasia, and conversely a phosphate-poor diet  and hypophosphatemia inhibit parathyroid tissue growth, have also been examined by this group in a detailed fashion. Thus, Dusso et al showed that feeding a low phosphate diet to uremic rats increased parathyroid p21 gene expression through a vitamin D-independent mechanism (167). When administering a high phosphate diet, p21 expression was not suppressed. In this condition, they observed an increase in parathyroid tissue TGF-β expression and a direct correlation between this expression and parathyroid cell proliferation rate. This finding is in line with a previous observation by our group of de novo TGF-β expression in severely hyperplastic parathyroid tissue of patients with ESKD (168). The inducer of TGF-β gene transcription could be activator protein 2α (AP2), whose expression and transcriptional activity at the TGF-β promoter is increased in the secondary hyperparathyroidism of CKD (169).

 

Although these findings provide more insight into the pathways by which changes in phosphate intake, and ultimately variations in extracellular phosphate concentration, control parathyroid tissue growth, the exciting question of the transmembrane signal transduction mechanism and subsequent nuclear events triggered by phosphate remains yet to be answered. It is possible that phosphate acts as a partial, non-competitive CaSR antagonist to modulate PTH secretion (169a).

 

In addition to p21 and TGF-β, a variety of other growth factors and inhibitors are probably involved in polyclonal parathyroid hyperplasia. PTHrp has been proposed as a possible growth suppressor in the human parathyroid (170). PTHrp, and probably PTH itself, also exert an inhibitory effect on PTH secretion by acting via a negative feedback loop on PTH-R1 which appears to be expressed in the parathyroid cell membrane as well (107). Table 1 summarizes various changes in gene and growth factor expression, which are potentially involved in the parathyroid tissue hyperplasia of secondary uremic hyperparathyroidism. Gcm2 has been identified as a master regulatory gene of parathyroid gland development, since Gcm2 knockout mice lack parathyroid glands (171). Correa et al. found high Gcm2 mRNA expression in human parathyroid glands in comparison with other non-neural tissues and underexpression in parathyroid adenomas but not in lesions of hyperparathyroidism secondary to uremia (172). Gcm2 expression itself is regulated by Gata3, and Gata3, in cooperation with Gcm2 and MafB, stimulates PTH gene expression, by interacting with the ubiquitous transcription factor SP1 (173). MafB probably plays a role in uremic hyperparathyroidism as well. Thus stimulation of the parathyroid by CKD in MafB+/-mice resulted in an impaired increase in serum PTH, PTH mRNA, and parathyroid cell proliferation (174,175).

 

Table 1. Changes in Gene and Growth Factor Expression Potentially Involved in Parathyroid Tissue Hyperplasia of Secondary Uremic Hyperparathyroidism

Early immediate genes and receptor/coreceptor genes

-Enhanced c-myc gene expression (Fukagawa et al, Kidney Int 1991; 39: 874-81)

-Decreased calcium-sensing receptor (CaSR) gene expression (Kifor et al, J Clin Endocrinol Metab 1996; 81: 1598-1606. Gogusev et al, Kidney Int 1997; 51: 328-36)

-Decreased vitamin D receptor (VDR) gene expression (Fukuda et al, J Clin Invest 1993; 92: 1436-42)

-Decrease in parathyroid Klotho and FGFR1c gene expression (Galitzer et al, Kidney Int 2010; 77: 211-8. Canalejo et al, JASN 2010; 21: 1125-35. Komaba et al, Kidney Int 2010; 77: 232-8)

Gene polymorphisms

-Vitamin-D receptor (VDR) gene polymorphism (Olmos et al, Methods Find Exp Clin Pharmacol 1998; 20: 699-707. Fernandez et al, J Am Soc Nephrol 1997; 8: 1546-52. Tagliabue et al, Am J Clin Pathol 1999; 112: 366-70)

Growth factors and cell cycle inhibitors

-Increased acidic growth factor (aFGF) gene expression (Sakaguchi, J Biol Chem 1992; 267: 24554-62)

-Decreased parathyroid hormone-related peptide (PTHrp) gene expression (Matsushita et al, Kidney Int 1999; 55: 130-8)

-De novo transforming growth factor-α (TGF-α) gene expression (Gogusev et al, Nephrol Dial Transplant 1996; 11: 2155-62)

-Induction of TGF-α by high phosphate diet (Dusso et al, Kidney Int 2001; 59: 855-865)

-Insufficient inhibition of cyclin kinase inhibitor p21WAF1 (Dusso et al, Kidney Int 2001; 59: 855-65); p21WAF1can be induced by calcitriol (Cozzolino et al, Kidney Int 2001; 60: 2109-2117)

-mTOR activation and rpS6 phosphorylation (Volovelsky et al, JASN 2016; 27: 1091–1101)

Gene mutations: association with monoclonal or multiclonal growth

-Mutation of menin gene (Falchetti et al, J Clin Endocrinol Metab 1993; 76: 139-44. Tahara et al, J Clin Endocrinol Metab 2000; 85: 4113-7. Imanishi et al, J Am Soc Nephrol 2002;13:1490-8)

-Mutation of Ha-ras gene (Inagaki et al, Nephrol Dial Transplant 1998; 13: 350-7)

-No involvement of VDR or CaSR gene mutations (Degenhardt et al, Kidney Int 1998; 53: 556-61. Brown et al, J Clin Endocrinol Metab 2000; 85: 868-72)

 

SECONDARY HYPERPARATHYROIDISM IN CKD – MECHANISMS INVOLVED IN THE TRANSFORMATION OF POLYCLONAL TO MONOCLONAL PARATHYROID GROWTH

 

In severe forms of secondary hyperparathyroidism nodular formations within diffusely hyperplastic tissue are a frequent finding (176). This observation probably corresponds to the occurrence of a monoclonal type of cell proliferation within a given tissue, which initially exhibits polyclonal growth. Clonal, benign tumoral growth was initially shown by Arnold et al using chromosome X-inactivation analysis method (177) and subsequently confirmed by other groups (178,179).  After the initially diffuse, polyclonal hyperplasia, with the progression of CKD towards ESKD foci of nodular, monoclonal growth may arise within one or several parathyroid glands which eventually may transform to diffuse monoclonal neoplasia leading to an aspect comparable to that of primary parathyroid adenoma. Several different clones often coexist in the same patient, and sometimes even in a single parathyroid gland. Figure 13 shows the progression from polyclonal to monoclonal and/or multiclonal parathyroid hyperplasia (180). It also shows corresponding changes in ultrasonographic features.

 

Figure 13. Schematic representation of the transformation of parathyroid hyperplasia from polyclonal to nodular, monoclonal/multiclonal growth with the progression of CKD towards ESKD. After Tominaga et al (180).

 

Acquired mutations of tumor enhancer or tumor suppressor genes are almost certainly involved in the development of such cell clones but precise knowledge about acquired genetic abnormalities remains limited (178). To identify new locations of parathyroid oncogenes or tumor suppressor genes important in this disease, Imanishi et al performed both comparative genomic hybridization (CGH) and genome-wide molecular allelotyping on a large number of uremia-associated parathyroid tumors (181). One or more chromosomal changes were present in 24% of tumors, markedly different from the values in common sporadic adenomas (28%), whereas no gains or losses were found in 76% of tumors. Two recurrent abnormalities were found, namely gain of chromosome 7 (9% of tumors) and gain of chromosome 12 (11% of tumors).  Losses on chromosome 11, the location of the MEN1 tumor suppressor gene, occurred in only one uremia-associated tumor (2%), as compared to 34% in adenomas. The additional search for allelic losses with polymorphic microsatellite markers led to the observation of recurrent allelic loss on 18q (13% of informative tumors). Lower frequency loss was detected on 7p, 21q, and 22q. Interestingly, the cyclin D1 oncogene, activated and overexpressed by clonal gene rearrangement or other mechanisms in 20-40% of parathyroid adenomas (182,183) has not been found to be overexpressed in uremia-associated tumors (183).

 

Another interesting question was if somatic genes played a major role in the normal regulation of parathyroid function, such as the CaSR and VDR genes.  The expression of these two genes was found to be decreased in the hyperplastic parathyroid tissue of uremic patients (66,94,95). The decrease was particularly marked in nodular areas, as compared to diffuse areas of parathyroid gland hyperplasia. Moreover, in uremic rats the decrease in CaSR expression was inversely related to the degree of parathyroid cell proliferation (97). However, the search for mutations or deletions of the VDR gene or the CaSR gene in uremic hyperparathyroidism has remained unsuccessful (178,184,185). The question remains unsolved whether the downregulation of CaSR and VDR expression is a primary event or whether it is secondary to hyperplasia.

 

Whether benign parathyroid tumors may evolve towards malignant forms is still subject to debate. Since in patients on dialysis therapy parathyroid carcinoma is a rare event (186–188), malignant transformation of clonal parathyroid neoplasms is probably exceptional.

 

Genome-wide allelotyping and CGH have directly confirmed the presence of monoclonal parathyroid neoplasms in uremic patients with refractory secondary hyperparathyroidism whereas the candidate gene approach has led to only modest results. Somatic inactivation of the MEN1 gene does contribute to the pathogenesis of uremia-associated parathyroid tumors, but its role in this disease appears to be limited, and there is probably no role for DNA changes of the CaSR and VDR genes. Recurrent DNA abnormalities suggest the existence of new oncogenes on chromosomes 7 and 12, and tumor suppressor genes on 18q and 21q, involved in uremic hyperparathyroidism. Finally, patterns of somatic DNA alterations indicate that markedly different molecular pathogenetic pathways exist for clonal outgrowth in severe uremic hyperparathyroidism, as compared to common sporadic parathyroid adenomas. Our group did not find a correlation between the presence of microscopically evident nodules and the clonal character of resected parathyroid tissue, and appearances of several glands with histological patterns of diffuse hyperplasia also were unequivocally monoclonal in the absence of detectable nodular formations, suggesting that the current criteria for pathological diagnosis do not reflect the genetic differences among these two histopathological types (177).

 

Parathyroid Cell Apoptosis

 

It remains uncertain whether reduced apoptosis rates can also contribute to parathyroid tissue hyperplasia (68,181,182). One research group examined this issue in rats with short-term kidney failure (5 days). They were unable to detect apoptosis in hyperplastic parathyroid glands (183). However, this failure could be due to a lack of sensitivity of the employed methods.

 

Negative findings in rats, with no identifiable apoptotic figures at all in parathyroid glands (72,190,191), contrast with subsequent positive observations in rats by others (192,193) and with personal observations of significant apoptotic figures in hyperplastic parathyroid glands removed from uremic, severely hyperparathyroid patients during surgery (194). In our study of human parathyroid glands from patients with ESKD approximately ten times higher apoptotic cell numbers were observed than in normal parathyroid tissue, using TUNEL method (Figure 14) (194).

 

Figure 14. Increased proportion of apoptotic (TUNEL positive) cells in parathyroid glands from patients with primary or secondary uremic hyperparathyroidism, as compared to normal parathyroid tissue. After Zhang et al (194).

 

Of note, the uremic state appears to stimulate apoptosis in other cell types as well such as circulating monocytes (195), possibly via the well-known increase of cytosolic Ca2+ which has been observed in a variety of cell types in kidney failure (196), and also possibly via the noxious effect of bioincompatible dialysis membranes used for renal replacement therapy (197). The observed enhancement of parathyroid tissue apoptosis could compensate, at least in part, the increase in parathyroid cell proliferation observed in secondary uremic hyperparathyroidism.

 

SECONDARY HYPERPARATHYROIDISM IN CKD – REGRESSION OF PARATHYROID HYPERPLASIA ?

 

Whether regression of parathyroid hyperplasia occurs in animals or patients with advanced stages of CKD remains a matter of debate. According to some authors regression must be an extremely slow process, if it occurs at all (75,190). This is in sharp contrast to the rapid reversibility of excessive PTH secretion in uremic rats which was observed after normalization of renal function by kidney transplantation (198), although parathyroid mass probably did not rapidly decrease in this acute experimental model.

 

The issue of regression is of clinical importance. As an example, if a  patient on dialysis therapy has a dramatic increase in total parathyroid mass there is practically no chance to obtain gland mass regression after a successful kidney transplantation. In this condition it would seem appropriate to perform a surgical parathyroidectomy prior to transplantation. If however significant regression of hyperplasia can occur as an active or passive process, namely by enhanced apoptosis or reduced proliferation, prophylactic surgery could be avoided. That regression of parathyroid hyperplasia secondary to vitamin D deficiency can occur has been convincingly demonstrated many years ago in experiments done in chicks (199). The administration of cholecalciferol to these birds that had developed an increase in parathyroid gland mass when fed a rachitogenic, vitamin D-free diet for 8-10 weeks led to a significant (50%) reduction in gland weight. Calcitriol failed to achieve the same effect at low, albeit hypercalcemic, dose but was capable of reducing gland mass at higher dose. However, in an experimental dog model no parathyroid mass regression was found when the animals were first submitted to a low-calcium, low-sodium and vitamin D deficient diet for two years and subsequently to a normal diet for another 17 months (200). In uremic animals, evidence for or against the possibility of regression of increased parathyroid tissue mass remains sparse and inconclusive.

 

The calcimimetic drug NPS R-568 was shown to decrease parathyroid cell proliferation and to prevent parathyroid hyperplasia in 5/6th nephrectomized rats; however, it was unable to entirely revert established hyperplasia (191,201). In apparent contrast, Miller et al showed that in rats with established secondary hyperparathyroidism cinacalcet administration led to complete regression of parathyroid hyperplasia (202). The cinacalcet-mediated decrease in parathyroid gland size was accompanied by increased expression of the cyclin-dependent kinase inhibitor p21. However, these were short-term experiments over an 11-week time period. Interestingly, the prevention of cellular proliferation with cinacalcet occurred despite increased phosphorus and decreased calcium serum levels.

 

In patients with primary hyperparathyroidism spontaneous remission of overfunctioning parathyroid glands has been observed in rare instances, caused by parathyroid “ apoplexy ” due to tissue necrosis (203). The diagnosis of parathyroid tissue necrosis is more difficult to ascertain in secondary than in primary forms of hyperparathyroidism because the hyperplasia of the former is not limited to a single gland.

 

Regression of parathyroid hyperplasia in patients on hemodialysis in response to intravenous calcitriol pulse therapy for 12 weeks has been reported by Fukagawa et al using ultrasonography (204). These authors observed a significant decrease in mean gland volume from 0.87 to 0.51 cm3 over this time period, together with a reduction in serum iPTH of more than 50%. In contrast, Quarles et al who also examined parathyroid gland morphology in patients on hemodialysis in vivo in response to intermittent intravenous or oral calcitriol treatment for 36 weeks failed to observe a decrease in parathyroid gland size as assessed by high resolution ultrasound and/or magnetic resonance imaging (205). Mean gland size was 1.9 and 2.1 cm3 before and 3.3 and 2.3 cm3 after oral and intravenous calcitriol therapy, respectively. The authors achieved a maximum average serum PTH reduction of 43% over this time period. There were marked differences between these two studies, which may explain the apparently diverging results. Hyperparathyroidism probably was more severe in the latter than in the former. Although initial mean serum iPTH levels were similar, serum phosphorus was higher and the decrease in serum PTH achieved in response to calcitriol was less marked in the latter. Moreover, parathyroid mass was more than double. In another study, Fukagawa et al examined the possible relation between parathyroid size and the long-term outcome after calcitriol pulse therapy, by subdividing patients into different groups according to initial parathyroid gland volume assessments (206). In two patients on hemodialysis with detectable gland(s), in whom the size of all parathyroid glands as well as PTH hypersecretion regressed to normal, secondary hyperparathyroidism remained controllable for at least 12 months after switching to conventional oral active vitamin D therapy. In contrast, in seven patients on hemodialysis in whom the size of all parathyroid glands did not regress to normal by calcitriol pulse therapy, secondary hyperparathyroidism relapsed after switching to conventional therapy although PTH hypersecretion could be controlled temporarily. Similarly, Okuno et al. showed in a study in patients on hemodialysis that plasma PTH levels and the number of detectable parathyroid glands decreased in response to the active vitamin D derivative maxacalcitol (22-oxacalcitriol) given for 24 weeks only when the mean value of the maximum diameter of the parathyroid glands was less than 11.0 mm, but not when it was above that value (207).

 

Taken together, these findings suggest that the degree of parathyroid hyperplasia, as detected by ultrasonography, is an important determinant for regression in response to calcitriol therapy. It is probable, although not proven, that the type of hyperplasia, namely monoclonal/multiclonal vs polyclonal growth, is even more important as regards the potential of regression than the mere size of each gland.

 

Figure 2 (see above) summarizes in a schematic view the main mechanisms involved in abnormal PTH synthesis and secretion and in parathyroid tissue hyperplasia. It further points to the possible counterregulatory role of apoptosis.

 

Altered PTH Metabolism and Resistance to PTH Action

 

PTH metabolism is greatly disturbed in CKD. Normally, most of full-length PTH1-84 is transformed in the liver to the biologically active N-terminal PTH1-34 fragment and several other, inactive C-terminal fragments. The latter are mainly catabolized in the kidney and the degradation process involves solely glomerular filtration and tubular reabsorption, whereas the N-terminal PTH1-34 fragment undergoes both tubular reabsorption and peritubular uptake, as does the full-length PTH1-84 molecule (208). Tubular reabsorption involves the multifunctional receptor megalin (209).

 

With the progression of CKD, both pathways of renal PTH degradation are progressively impaired. This leads to a marked prolongation of the half-life of C-terminal PTH fragments in the circulation (210–212) and their accumulation in the extracellular space. Moreover, there is no peritubular metabolism of PTH1-84 in uremic non-filtering kidneys, in contrast to peritubular uptake by normal, filtering kidneys (213). Hepatic PTH catabolism appears however to be unchanged in CKD since uremic livers and control livers released equal amounts of immunoreactive C-terminal PTH fragments (213).

 

A decreased response to the action of PTH may be another factor involved in the stimulation of the parathyroid glands in CKD. A diminished calcemic response to the infusion of PTH has long been reported, suggesting that PTH oversecretion was necessary to maintain eucalcemia. The skeletal resistance to PTH has been attributed to various mechanisms, including impaired vitamin D action in association with hyperphosphatemia, overestimation of true PTH(1-84) by assays measuring iPTH (see below), accumulation of inhibitory PTH fragments, oxidative modification of PTH, increase in circulating osteoprotegerin and sclerostin levels, administration of active vitamin D derivatives and calcimimetics, and altered PTH-R1 expression (7,149,214,215). Concerning the latter mechanism, studies have suggested the presence of PTH receptor isoforms in various organs of normal rats. Downregulation of PTH-R1 mRNA has been observed in various tissues of uremic rats (216–219) and also in osteoblasts of patients with end-stage renal disease (220). However, the issue of PTH-R1 expression in bone tissue remains a matter of controversy since one group found it to be upregulated in patients with moderate to severe renal hyperparathyroid bone disease (221). A recent study claimed that the inhibition of PTH binding to PTH-R1 by soluble Klotho could represent yet another mechanism of PTH resistance (222). This observation would be compatible with the presence of an upregulated, yet biologically inactive PTH-R1.

 

Other mechanisms involved in the control of the normal balance between bone formation and resorption and their response to PTH are the Wnt-β-catenin signaling pathway and its inhibition by sclerostin and Dickkopf-related protein 1 (Dkk1) (7,58,223), and the activin A pathway with its inhibition by a decoy receptor (224). Wnt-β-catenin inhibitors  are expressed predominantly in osteocytes. Whereas reduced activity of sclerostin and Dkk1 leads to increased bone mass and strength, the opposite occurs with overexpression of both sclerostin and Dkk1 in animal models. In CKD, circulating levels of both Wnt-β-catenin inhibitors have generally been found to be increased (56), and serum sclerostin was found to correlate negatively with serum PTH (225,226), and PTH has been shown to blunt osteocytic production of this Wnt inhibitor (227). Since high PTH and sclerostin levels coexist in CKD this raises the suspicion that sclerostin contributes to PTH resistance in CKD (7). Calcitonin and bone morphogenetic proteins stimulate, whereas PTH and estrogens suppress the expression of sclerostin and/or Dkk1 (228,229). Bone formation induced by intermittent PTH administration to patients with osteoporosis could be explained, at least in part, by the ability of PTH to downregulate sclerostin expression in osteocytes, permitting the anabolic Wnt signaling pathway to proceed (230). In patients with ESKD sclerostin is a strong predictor of bone turnover and osteoblast number (231). Serum levels of sclerostin correlate negatively with serum iPTH in such patients. Sclerostin was superior to iPTH for the positive prediction of high bone turnover and number of osteoblasts. In contrast, iPTH was superior to sclerostin for the negative prediction of high bone turnover and had similar predictive values as sclerostin for the number of osteoblasts. Serum sclerostin levels increase after parathyroidectomy (7). As regards activin A, a member of the transforming growth factor-b superfamily, Hruska’s group has demonstrated increased serum levels and systemic activation of its receptors in mouse models of CKD (224). In humans, serum activin A levels increase already at early stages of CKD, before elevations in intact PTH and FGF23, supporting its role in CKD-MBD and PTH resistance (232). 

 

Interesting new pathways have recently been identified by Pacifici’s group. First, they used various mouse models to demonstrate a permissive activity of butyrate produced by the gut microbiota, required to allow stimulation of bone formation by PTH (233). Butyrate’s effect was mediated by short-chain fatty acid receptor GPR43 signaling in dendritic cells and by GPR43-independent signaling in T cells. Second, the group showed that intestinal segmented filamentous bacteria (SFB) enabled PTH to expand intestinal TNF+ T and Th17 cells and thereby increase their egress from the intestine and recruitment to the bone marrow to cause bone loss (234). Figure 15 shows these recently detected pathways involving the gut microbiota.

 

Figure 15. Importance of intestinal microbiota for PTH action in bone. The stimulation of bone anabolism by PTH requires butyrate formation by short chain fatty acid (SCFA) producing gut bacteria. CKD probably reduces its production. Butyrate increases the frequency of regulatory T (Treg) cells in the intestine and in the bone marrow and potentiates the capacity of intermittently administered PTH to induce the differentiation of naïve CD4+ T cells into Tregs, a population of T cells which induces conventional CD8+ T cells to release Wnt10b. This osteogenic Wnt ligand activates Wnt signaling in osteoblastic cells and stimulates bone formation. Butyrate enables intermittent PTH dosing to expand Tregs via GPR43 signaling in dendritic cells (DCs) and GPR43 independent targeting of T cells. Butyrate may also affect bone remodeling by modulating osteoclast genes. The stimulation of bone resorption by PTH requires the presence of segmented filamentous bacteria (SFB) within gut microbiota for the production of Th17 cells in intestinal Peyers' plaques. Continuously elevated PTH levels lead to TNF+ T cell expansion in the gut and the bone marrow via a microbiota-dependent, but SFB independent mechanism. Furthermore, intestinal TNF producing T cells are required for PTH to increase the number of intestinal Th17 cells, and TNF mediates the migration of intestinal Th17 cells to the bone marrow. This migration depends on the upregulation of chemokine receptor CXCR3 and chemokine CCL20. Bone marrow Th17 cells then induce osteoclastogenesis by secreting IL-17A, RANKL, TNF, IL-1, and IL-6. From Massy & Drueke (235).

 

It will be interesting to examine the hypotheses that the excessive bone resorption associated with secondary hyperparathyroidism in CKD is at least partially due to either insufficient intestinal butyrate availability, excessive intestinal SFB activity, or both (235).

 

Finally, the analysis of cohort studies performed in diverse populations point towards differences in mineral metabolism control, rather than genetic or environmental factors, as the main drivers of the variability of PTH responsiveness (236).

 

SECONDARY HYPERPARATHYROIDISM IN CKD – CLINICAL FEATURES

 

In most patients with ESKD, advanced secondary hyperparathyroidism remains a clinically silent disease. Clinical manifestations are generally related to severe osteitis fibrosa and to the consequences of hypercalcemia and/or hyperphosphatemia.

 

Osteoarticular pain may be present. When patients become symptomatic, they usually complain of pain on exertion in skeletal sites that are subjected to biomechanical stress. Pain at rest and localized pain are rather unusual and suggest other underlying causes. Severe proximal myopathy is seen in some patients, even in the absence of vitamin D deficiency. These symptoms and signs are more frequent in patients who suffer from mixed renal osteodystrophy, resulting from a combination of parathyroid overfunction and vitamin D deficiency. Skeletal fractures may occur after only minor injury. They may also develop on the ground of cystic bone lesions, the so-called “brown tumors”, which occur for still unknown reasons in a small number of uremic patients with secondary hyperparathyroidism. Rupture of the patella or avulsion of tendons may be seen in advanced cases. The relation between serum PTH levels and fracture risk of patients on dialysis has been examined in several observational studies, reporting either a linear or U-shaped relation, increased fracture risk with low PTH levels, or no relation at all. A new recent observational study from Japan in more than 180,000 patients on hemodialysis therapy showed a linear relationship, with a graded reduction towards lower PTH levels (237). The absolute risk difference associated with higher PTH levels was more pronounced in older individuals, female patients, and those with lower body mass index.

 

Uremic pruritus is most often associated with an elevated Ca x P product although other factors may also be involved. Related symptoms and signs are the red eye syndrome due to the deposition of calcium in the conjunctiva, cutaneous calcification, and pseudogout. The latter is a form of painful arthralgia of acute or subacute onset caused by intra-articular deposition of radio-opaque crystals composed of calcium pyrophosphate dehydrate.

 

The syndrome of “ calciphylaxis ” is an infrequent manifestation of cutaneous and vascular calcification in uremic patients which may occur in association with secondary hyperparathyroidism, although this association is by no means constant. It is characterized by rapidly progressive skin necrosis involving buttocks and the legs, particularly the thighs. It can produce gangrene and may be fatal. It occurs as the result of arteriolar calcification and has also been termed “calcific uremic arteriolopathy” to reflect more accurately the nature of the lesion (238). Of interest, a post-hoc analysis of the EVOLVE trial in patients on hemodialysis recently showed that cinacalcet administration, which allows improved PTH control, resulted in a significant decrease in the incidence of calcific uremic arteriolopathy as compared to placebo (239).

 

SECONDARY HYPERPARATHYROIDISM IN CKD -- DIAGNOSIS

 

The biochemical diagnosis relies on the determination of plasma iPTH. This is also true for primary hyperparathyroidism. In patients with CKD, there are several limitations to its measurement, in addition to the usual day-to-day variations in healthy people (240). Physiological iPTH plasma values are not "normal" for uremic patients since values in the normal range are often associated with low bone turnover (adynamic bone disease) whereas normal bone turnover may be observed in presence of elevated plasma intact PTH levels (241–244). It is currently unclear to what extent this is due to imperfections in the PTH assays used (see below), PTH receptor status, post-receptor events, non-PTH-mediated changes in bone metabolism (e.g. supply of vitamin D or its metabolites, supply of estrogens or androgens), or a combination of these factors.

 

The accumulation of a large non (1-84) molecular form of PTH, which is detected by iPTH (so-called "intact" PTH) assays, has been described in patients with CKD (245). The large PTH fragment was tentatively identified as hPTH(7-84) (246). This finding is of importance in the interpretation of PTH values, since true hPTH(1-84) represents only about 50-60% of the levels detected by current iPTH assays, and since PTH(7-84) antagonizes PTH(1-84) effects on serum calcium and on osteoblasts (247). Moreover, the secretory responses of hPTH(1-84) and non-hPTH(1-84) to changes in [Ca2+e] are not proportional for these two PTH moieties (87), and a large variability has been found between different assay methods used for plasma PTH measurement in patients with CKD, recognizing PTH(7-84) with various cross-reactivities (248). Varying plasma sampling and storage conditions may further complicate the interpretation of PTH results provided by clinical laboratories (249). The development of assays which detect full-length (whole) human PTH, but not amino-terminally truncated fragments (250), was initially considered as major progress in this field. To further improve the assessment of uremic hyperparathyroidism and the associated increase in bone turnover Monier-Faugere et al proposed to calculate the ratio of PTH-(1-84) to large c-terminal PTH fragments (251). The usefulness in the clinical setting of the whole PTH assay and of the ratio of whole PTH to PTH fragments has however not been convincingly established for the diagnosis of parathyroid overfunction in adult (252,253) or pediatric (254) patients on dialysis. From a practical point of view, it must be pointed out that at present the measurement of PTH with third-generation assays is not widely available. Another potential issue is the presence of oxidized, inactive PTH in the circulation of patients with CKD, its concentrations being much higher than those of iPTH (149), although with large interindividual variations (149). Whereas one study showed a U-shaped association of non-oxidized, but not oxidized, PTH with survival in patients on hemodialysis therapy (255), a subsequent study done in CKD stage 2-4 patients found iPTH, but not non-oxidized PTH, to be associated with all-cause death in multivariable analysis (256). The reason for these apparently opposite findings is unclear. The assertion that PTH oxidation is an vitro artifact has been disproved recently (257). Based on personal findings, Hocher and Zeng postulated that oxidized and non-oxidized PTH should be measured separately to correctly evaluate the degree of severity and clinical relevance of parathyroid overfunction in CKD (150). However, in a subsequent study Ursem et al observed a strong correlation between serum non-oxidized PTH and total PTH in patients with ESKD (258). Most importantly, they found that both histomorphometric and circulating bone turnover markers exhibited similar correlations with non-oxidized PTH and total PTH. The authors therefore concluded that non-oxidized PTH is not superior to total PTH as a biomarker of bone turnover in ESKD. However, presently available methods do not enable a precise distinction between biologically active and inactive PTH forms, be it through oxidative or other post-translational modifications of the hormone (259). A recent study has shown that it is now feasible to standardize all PTH assays by recalibrating PTH immunoassays using liquid chromatography coupled with mass spectrometry as the reference method, regardless of the assay methodology (second or third generation immunoassay) (260). The proposed approach may pave the way for accurate interpretation of PTH in clinical practice (261,262).

 

Most importantly, we will hopefully be able in the future to rely not only on serum PTH but also on appropriate direct markers of bone structure and function for the assessment of renal osteodystrophy and on markers of cardiovascular disease related to secondary hyperparathyroidism (263).

 

Bone x-ray diagnosis is impossible in mild to moderate forms of secondary hyperparathyroidism, but relatively easy in severe forms. Nevertheless, to date x-ray diagnosis is rarely used in routine clinical praxis. Typical lesions include resorptive defects on the external and internal surfaces of cortical bone, with the resorption particularly pronounced on the subperiosteal surface. Resorption within cortical bone enlarges the Haversian channels, resulting in longitudinal striation; resorption at the endosteal surface causes cortical thinning. These lesions can be generally detected first in the hand skeleton, most characteristically at the periosteal surface of the middle phalanges (Figure 16).

 

Accelerated bone deposition at this site (periosteal neostosis) can also be seen. Another characteristic feature is resorptive loss of acral bone (acro-osteolysis), in particular at the terminal phalanges, at the distal end of the clavicles, and in the skull (‘pepper-pot’ aspect) (Figure 17). Whereas cortical bone is progressively thinning, the mass of spongy bone tends to increase, particularly in the metaphyses. The latter phenomenon results in a characteristic sclerotic aspect of the upper and lower thirds of the vertebrae, contrasting with rarefaction of the vertebral center (‘rugger jersey spine’). Osteosclerosis is also commonly seen in radiographs of the metaphyses of the radius and tibia.

 

Figure 16. Periosteal resorption and small vessel calcification in severe secondary uremic hyperparathyroidism. (a) X-ray aspect of periosteal resorption within cortical bone of middle phalanges of the hand, indicative of osteitis fibrosa, and extensive finger artery calcification in a CKD stage 5 patient with severe secondary hyperparathyroidism. (b) Aspect one year after surgical parathyroidectomy: complete bone lesion healing and disappearance of arterial calcification.

Figure 17. X-ray pepper-and-salt aspect of the skull in a patient on long-term hemodialysis with severe secondary hyperparathyroidism.

 

In addition to the skeletal lesions, radiographs often reveal various types of soft tissue calcification. These comprise vascular calcifications, i.e. calcification of intimal plaques (aorta, iliac arteries) (Figure 18a), as well as diffuse calcification (Mönckeberg type) of the media of peripheral muscular arteries (Figure 18b).

 

Figure 18. Massive intima (a) and media (b) calcification of hypogastric artery in a patient on long-term hemodialysis. From Amann (264).

 

Of interest, media calcification of digital arteries can entirely regress after surgical parathyroidectomy (Figure 16). Calcium deposits may also be seen in periarticular tissue or bursas and may exhibit tumor-like features (Figure 19).

 

Figure 19. X-ray feature of a tumor-like periarticular calcification in the shoulder of a chronic hemodialysis patient with adynamic bone disease due to aluminum intoxication.

 

Since the development of electron-beam computed tomography (EBCT) and multiple slice computed tomography (MSCT), more reliable means have become available to assess quantitatively vascular calcification and its progression in uremic patients (265). However, these techniques are not universally available and costly. Moreover, they do not allow a distinction between arterial intima and media calcifications. Such a distinction can be obtained by radiograms of the pelvis and the thigh, combined with ultrasonography of the common carotid artery. Using these simple methods, London et al could show that patients on hemodialysis with arterial media calcification had a longer survival than hemodialysis patients with arterial intima calcification, but in turn their survival was significantly shorter than that of patients on hemodialysis without calcifications (266). Of note, both severe hyperparathyroidism and marked hypoparathyroidism favor the occurrence of the two types of calcifications in such patients (267–269). In contrast to permanently elevated serum PTH levels, the intermittent administration of PTH1-34 has been shown to decrease arterial calcification in uremic rats (270) and in diabetic mice with LDL receptor deletion (271). This observation tends to demonstrate that normal parathyroid function is required not only for the maintenance of optimal bone structure and function, but also as an efficacious defense against soft tissue calcification, and that intermittent PTH administration may not only improve osteoporosis (272), but also reduce vascular calcification, at least in experimental animals.

 

SECONDARY HYPERPARATHYROIDISM IN CKD – TREATMENT

 

Medical Management

 

Presently available options of medical treatment should take into account plasma biochemistry and x-ray findings, and if available also the dimensions of the largest parathyroid glands, as assessed by ultrasonography. A gland diameter of 5-10 mm or more is considered as being indicative of autonomous growth, which often is resistant to medical treatment (206).

 

Schematically, there are five major medical treatment options which can be combined in some cases, but not in others, namely the restriction of phosphate intake and/or the administration of calcium supplements, oral phosphate binders, vitamin D derivatives, and calcimimetics (273,274). In patients on dialysis the weekly dose of renal replacement therapy is an additional important factor. An optimal dialysis technique allows controlling hyperphosphatemia and providing enough calcium to avoid PTH stimulation by hypocalcemia during dialysis sessions.

 

To control hyperparathyroidism, it is important to avoid both hypocalcemia and hypercalcemia, and to reduce or correct hyperphosphatemia. In patients with controlled plasma phosphate, this can be achieved by giving either calcitriol or one of its synthetic analogs, or by administering oral calcium supplements. For a long time, calcitriol or alfacalcidol was the preferred therapy in uremic patients with high to very high plasma intact PTH values and normal to moderately elevated plasma calcium levels, when plasma phosphate did not exceed recommended levels, namely 1.5 mmol/L for CKD stages 3-4 and 1.8 mmol/L for CKD stage 5, according to the K/DOQI guidelines of 2003 (275). However, the administration of active vitamin D derivatives often induces hypercalcemia and/or hyperphosphatemia. The KDIGO CKD-MBD guideline of 2009 (276) and its subsequent updates in 2017/2018 and 2025 (277-279) suggest maintaining iPTH levels in CKD stage 5D patients (i.e. patients receiving dialysis therapy) in the range of approximately two to nine times the upper normal limit for the assay, to keep serum calcium normal, and to decrease serum phosphorus towards the normal range. Uncertainty prevails regarding ideal PTH and phosphorus targets in patients with CKD stages G3-G5 and those on dialysis therapy. Marked changes in iPTH levels in either direction within the newly defined, broadened range should prompt initiation or change in therapy to avoid progression to levels outside of this range. Patients with CKD stages G3a-G5 not on dialysis whose levels of intact PTH are progressively rising or persistently above the upper normal limit for the assay should be evaluated for modifiable factors, including hyperphosphatemia, hypocalcemia, high phosphate intake, and vitamin D deficiency.

 

Vitamin D and Active Vitamin D Derivatives

 

A satisfactory degree of vitamin D repletion should probably be aimed at in case of vitamin D deficiency, knowing that the majority of patients with CKD have at least some degree of vitamin D deficiency (53,280). Relative vitamin D depletion has been shown to be an independent risk factor for secondary hyperparathyroidism in patients on hemodialysis (56). Repletion with native vitamin D may lead to improved control of secondary hyperparathyroidism in patients not yet on dialysis (281) and in those treated by dialysis (282) but no beneficial effect has been observed in a subsequent meta-analysis (283). Vitamin D repletion may allow optimal bone formation, help to avoid osteomalacia, and exert numerous other positive effects due to the pleiotropic actions of vitamin D, but most of these presumably positive actions remain a matter of debate (283,282). Most importantly, randomized controlled trials with native vitamin D or calcidiol have not been performed so far to evaluate hard clinical outcomes of patients with CKD.

 

As regards the administration of active vitamin D sterols during the course of CKD, the updated KDIGO guidelines suggest that calcitriol and vitamin D analogues not be routinely used in patients with CKD G3a-G5. They further state that it is reasonable to reserve the use of these agents for patients with CKD G4-G5 having severe and progressive hyperparathyroidism (277-278).

 

To correct secondary hyperparathyroidism of moderate to severe degree the oral administration of active vitamin D derivatives is generally more efficient than that of native vitamin D. In patients on hemodialysis, calcitriol or its analogs can be given either orally or intravenously. The oral administration can be on a daily basis (for instance 0.125 to 0.5 µg of calcitriol) or as intermittent bolus ingestions (for instance 0.5 to 2.0 µg of calcitriol for each dose) whereas the intravenous administration is always intermittent (0.5 to 2.0 µg of calcitriol or more per injection). The route and mode of administration of calcitriol or alfacalcidol probably play only a minor role. Since the highly active 1α-hydroxylated vitamin D derivatives can easily induce hypercalcemia, intensive research has focused on the development of various non-hypercalcemic analogs, including the natural vitamin D compound 24,25(OH)2 vitamin D3, 22-oxa-calcitriol (maxacalcitol), 19-nor-1,25(OH)2 vitamin D3 (paricalcitol), and 1α-(OH) vitamin D2 (hectorol). Despite numerous studies done in many patients none of them has been shown to be entirely devoid of inducing increases in plasma calcium or phosphate, and none has been demonstrated so far to be superior to calcitriol or alfacalcidol in controlling secondary hyperparathyroidism in the long run (285,286). An observational study by Teng et al. showed that paricalcitol administration to a large cohort of patients on hemodialysis conferred a remarkable (16%) survival advantage over the administration of calcitriol (287). Numerous subsequent observational studies reported a survival benefit, either comparing treatment with active vitamin D derivatives to no treatment, or novel active vitamin D derivatives to calcitriol in CKD patients not yet on dialysis (288) or those receiving dialysis treatment (289–291). Another observational study conducted in patients on hemodialysis, however, did not find a survival advantage with paricalcitol, as compared to calcitriol (292). In the absence of randomized controlled trials, it is impossible to conclude that paricalcitol treatment is superior to calcitriol or alfacalcidol in terms of patient survival. Findings of observational studies can only be considered as hypothesis-generating. They need to be confirmed by a properly designed prospective investigation (293).

 

Calcimimetics

 

The introduction of the calcimimetic cinacalcet into clinical practice led to a change in the above treatment strategy since it enables controlling hyperparathyroidism without increasing plasma calcium or phosphorus. Calcimimetics modify the configuration of the CaSR, a receptor cloned by Brown et al in 1993 (294). They make the CaSR more sensitive to [Ca2+e], in contrast to the so-called calcilytics which decrease its sensitivity, as schematically shown in Figure 20.

 

Figure 20. Schematic representation of the modulation of the calcium-sensing receptor (CaSR) by calcimimetics and calcilytics. CaSR is expressed on the cell membrane. Calcimimetics increase its sensitivity to calcium ions whereas calcilytics decrease it.

 

Initial acute studies in patients on intermittent hemodialysis showed that the calcimimetic cinacalcet was capable of reducing plasma PTH within hours, immediately followed by a rapid decrease in plasma calcium and a minor decrease in plasma phosphate (295–297). In addition, calcimimetics can also reduce parathyroid cell proliferation. Both short-term and long-term studies performed in rats and mice with CKD showed that the administration of the calcimimetic NPS R-568, starting at the time of CKD induction, prevented parathyroid hyperplasia (191,201,298). This effect is probably due to a direct inhibitory action on the parathyroid cell, as shown by our group in an experimental study in which we exposed human uremic parathyroid cells to the calcimimetic NPS-R467 (79). An interesting finding of a yet unexplained mechanism and significance is the observation that calcimimetic treatment led to an approximately 5-fold increase in the proportion of oxyphil cells, as compared to chief cells, in parathyroid glands removed from CKD patients with refractory hyperparathyroidism  (299-301). Of note, oxyphil cells also exhibited higher CaSR expression than chief cells in such glands (302).

 

Perhaps more important from a clinical point of view, the administration of calcimimetics enabled an improvement of osteitis fibrosa (107), halted the progression of vascular calcification both in uremic animals (298,303) and probably also in patients undergoing dialysis (304), prevented vascular remodeling (305), improved cardiac structure and function (306), and prolonged survival (307) in uremic animals with secondary hyperparathyroidism.

 

The long-term administration of cinacalcet to patients on hemodialysis proved to be superior to « optimal » standard therapy in controlling secondary uremic hyperparathyroidism, in that it was able to induce not only a decrease in plasma PTH but also in plasma calcium and phosphate (308-311). Figure 21 shows the superior control of severe secondary hyperparathyroidism by cinacalcet as compared to placebo treatment with standard of care (312). The initial daily dose is 30 mg orally, which can be increased up to 180 mg if necessary. Cinacalcet is generally well tolerated, with the exception of gastrointestinal side effects, which however cease in the majority of patients with time. Since its administration generally leads to a decrease in serum calcium, a close follow-up is required, at least initially, to avoid severe hypocalcemia with possible adverse clinical consequences. Cinacalcet can be associated with calcium-containing and non-calcium containing phosphate binders and also with vitamin D derivatives. For PTH lowering a combination therapy may lead to more complete correction than single drug treatment because of less side-effects and greater efficacy in the control of hyperparathyroidism (313,314).

 

Figure 21. Effect of cinacalcet on need of parathyroidectomy in patients on hemodialysis therapy. In the EVOLVE trial, parathyroidectomy was performed in 140 (7%) cinacalcet-treated and 278 (14%) placebo-treated patients. Key independent predictors of parathyroidectomy included younger age, female sex, geographic region and absence of history of peripheral vascular disease. One hundred and forty-three (7%) cinacalcet-treated and 304 (16%) placebo-treated patients met the biochemical definition of severe, unremitting (« tertiary ») hyperparathyroidism. Considering the pre-specified biochemical composite or surgical parathyroidectomy as an endpoint, 240 (12%) cinacalcet-treated and 470 (24%) placebo-treated patients developed severe, unremitting hyperparathyroidism (312).

 

The subsequent development of an intravenously active calcimetic led to another series of clinical studies aimed at controlling secondary hyperparathyroidism in patients on hemodialysis with an easy access to parenteral drug administration, thereby reducing oral pill overload. Two randomized controlled trials were conducted in such patients with moderate to severe secondary hyperparathyroidism, evaluating the efficacy and safety of the intravenous calcimimetic, etelcalcetide as compared to placebo (315). Thrice weekly administration of active drug after hemodialysis led to a greater than 30% reduction in serum PTH compared with less than 8.9% of patients receiving placebo. The reduction in PTH was rapid and sustained over 26 weeks. Treatment with etelcalcetide lowered serum calcium in the majority of patients, with overt symptomatic hypocalcemia reported in 7%. Adverse events occurred in 92% of etelcalcetide-treated and 80% of placebo-treated patients. Nausea, vomiting, and diarrhea were more common in etelcalcetide-treated patients, as were symptoms potentially related to hypocalcemia. A subsequent double-blind, double-dummy randomized controlled trial compared intravenous etelcalcetide to oral cinacalcet in patients on hemodialysis with moderate to severe secondary hyperparathyroidism (316). It showed that the use of etelcalcetide was not inferior to cinacalcet in reducing serum PTH concentrations over 26 weeks. In addition, etelcalcetide met several superiority criteria, including a greater reduction in serum PTH concentrations from baseline, and more potent reductions in serum concentrations of FGF23 and two markers of high-turnover bone disease.

 

How about hard patient outcomes? The randomized controlled trial EVOLVE examined the question whether better control of secondary uremic hyperparathyroidism by cinacalcet, as compared to placebo treatment with standard of care, reduced the incidence of cardiovascular events and mortality (312). The study enrolled 3803 patients receiving long-term hemodialysis therapy. Using intention-to-treat analysis the study outcome was negative (Figure 22, upper part). However, after adjustment for age and other confounders, and also when using lag-censoring analysis (Figure 22, lower part), there was a nominally significant reduction in the primary cardiovascular endpoint including mortality in the cinacalcet treatment group in whom serum PTH, calcium, and phosphate were better controlled than in the placebo treatment group. Moreover, a post-hoc lag-censoring analysis of EVOLVE further showed that the incidence of clinically ascertained fractures was lower in the cinacalcet than the placebo arm (317).

 

Figure 22. Effect of cinacalcet on cardiovascular outcomes of patients on hemodialysis therapy. The randomized controlled trial EVOLVE examined the question of whether a better control of secondary uremic hyperparathyroidism by cinacalcet, as compared to placebo treatment with standard of care, reduced the incidence of cardiovascular events and mortality. The study enrolled 3803 patients receiving long-term hemodialysis therapy. Using intention-to-treat analysis the study outcome was negative (upper part of Figure). However, with lag-censoring analysis there was a nominally significant reduction in the primary composite cardiovascular endpoint in the cinacalcet treatment group in whom serum PTH, calcium, and phosphorus were better controlled than in the placebo treatment group (lower part of Figure). From Chertow et al (312).

 

Phosphate Binders, Inhibitors of Intestinal Phosphate Absorption, Oral Phosphate Restriction, and Phosphate Removal by Dialysis

 

Calcium-containing phosphate binders should be given, preferentially during or at the end of phosphate-rich meals, to patients with CKD and uncontrolled hyperphosphatemia who have no hypercalcemia or radiological evidence of marked soft tissue calcifications. In these latter cases non-calcium-containing phosphate binders should be preferred (see below). The administration of calcium salts alone such as calcium carbonate or calcium acetate is sufficient for the control of hyperphosphatemia in many instances, particularly in patients with CKD stages G3-G5 not yet on dialysis. At the same time these calcium salts will prevent serum iPTH from rising in the majority of patients (318). They may however lead to calcium overload (46,47) and excessive PTH suppression, resulting eventually in adynamic bone disease (319). In patients on hemodialysis, the efficacy and tolerance of this treatment may be enhanced by the concomitant use of low-calcium dialysate, for instance a calcium concentration of 1.25 mmol/L, especially if plasma intact PTH levels are not very high. However, long-term studies have shown that the continuous use of a dialysate calcium of only 1.25 mmol/L requires close monitoring of plasma calcium and PTH because of the risk of inducing excessive PTH secretion (320,321). A dialysate calcium concentration between 1.25 and 1.5 mmol/L is more appropriate in terms of optimal calcium balance and control of secondary hyperparathyroidism (322). The use of a low calcium dialysate also may require higher doses of active vitamin D derivatives (323) or cinacalcet (324) for the control of secondary hyperparathyroidism. Of note, the use of a low calcium bath favors hemodynamic instability during the hemodialysis session (325) and the occurrence of sudden cardiac arrest (326, 327). In patients on CAPD, the use of calcium carbonate, in the absence of vitamin D, together with a reduction of the dialysate calcium concentration from 1.75 to 1.45 mmol/L prevents the occurrence of hypercalcemia in most patients (328). However, the addition of daily low-dose alfacalcidol may lead to hypercalcemia, despite a further reduction of dialysate calcium to 1.0 mmol/L.

 

The development of calcium-free, aluminum-free oral phosphate binders such as sevelamer-HCl (329-331), sevelamer carbonate (332,333), lanthanum carbonate (334-336), sucroferric oxyhydroxide (337), and ferric citrate (338) allows controlling hyperphosphatemia without the potential danger of calcium overload. Their phosphate binding capacity is roughly equivalent to that of Ca carbonate or calcium acetate. Sevelamer offers in addition the advantage to lower serum total cholesterol and LDL-cholesterol and to increase serum HDL-cholesterol, to slow the progression of arterial calcification in dialysis patients (330), and possibly to improve survival in such patients (339). The administration of sevelamer is probably more efficient in halting the progression of vascular calcification than calcium carbonate or calcium acetate but this remains a matter of debate (14,340,341). The administration of lanthanum carbonate to uremic animals has been shown to also reduce progression of vascular calcification (342,344), but studies in patients with CKD have led to variable results (344-346). The effects of calcium-free, aluminum-free phosphate binders on serum iPTH are variable, depending on baseline iPTH and concomitant therapies. In general, iPTH levels are higher in response to these binders than to calcium-containing phosphate binders (Figure 23) (347,348).

 

Figure 23. Effect of oral calcium vs. sevelamer on serum intact PTH (iPTH) in CKD. In this 54-week, randomized, open-label study the effects of sevelamer hydrochloride on bone structure and various biochemical parameters were compared to that of calcium carbonate in 119 patients on long-term hemodialysis therapy. Serum iPTH was consistently lower with calcium carbonate than with sevelamer treatment. From Ferreira et al (347).

 

The administration of aluminum-containing phosphate binders should be avoided because of their potential toxicity. They may be given in some treatment resistant cases, but only for short periods of time (276).

 

Another approach chosen to control hyperphosphatemia and therefore to prevent or delay the development of secondary hyperparathyroidism is pharmacologic interference with active intestinal phosphate transport by oral inhibitors of the phosphate/sodium cotransporter NaPi2b, using either already available drugs such as niacin or nicotinamide (349-351), or more recently developed novel inhibitors such as tenapanor (352,353). The rather disappointing results of available studies have not led so far to their introduction into clinical practice (354).

 

Dietary phosphate intake should be assessed and diminished, if possible. Special attention should be given to the avoidance of foods containing phosphate additives (355). The spontaneous reduction of protein intake with age probably explains the often better control of serum phosphate in elderly as compared to younger patients with ESKD, and this may contribute to the relatively lower PTH levels of the former and their propensity to develop adynamic bone disease (356). However, when reducing dietary phosphate intake and concomitantly protein intake, one has to take care to avoid the induction of protein malnutrition. Restricting dietary protein intake excessively may increase the risk of mortality (357). In patients on dialysis therapy, an attempt should always be made to improve the efficiency of the dialysis procedure.

 

A better correction of metabolic acidosis by bicarbonate-buffered dialysate, as compared to acetate-buffered dialysate, probably helps to delay the progression of osteitis fibrosa in patients on hemodialysis (358). One possible mechanism for the beneficial role of acidosis correction is an increase in the sensitivity of the parathyroid gland to plasma ionized calcium (359).

Current recommendations for the medical treatment and prevention of patients with CKD-MBD, including secondary hyperparathyroidism, can be found in the 2009 KDIGO CKD-MBD                                                                                                                                                                                                                                                                                      guideline (276) and its subsequent updates (277,278). It must be pointed out though that there is no definitive proof of a beneficial effect of phosphate lowering on patient-level outcomes (257).

 

Local Injection of Alcohol and Active Vitamin D Derivatives

 

Since in advanced forms of secondary hyperparathyroidism the hyperplasia of parathyroid glands is asymmetrical, with some glands being grossly enlarged and others remaining relatively small, local injection of ethanol (360,361) or active vitamin D derivatives (362,363) has been proposed as an alternative therapy in patients who become resistant to medical treatment. However, the direct injection technique has not reached widespread use in clinical practice outside of Japan. Other research groups have been unable to obtain convincing results (364,365).

 

Despite major advances in the medical treatment of CKD-MBD the achievement of the targets for plasma calcium, phosphate, Ca x P product, and PTH, as recommended by the K/DOQI guidelines (275), was found to be far from being optimal in the DOPPS patient population for the years 2002-2004 (366). It was actually rare in the patients on hemodialysis of this international cohort to fall within recommended ranges for all four indicators of mineral metabolism, although consistent control of all three main CKD-MBD parameters calcium, phosphate, and PTH was found to be a strong predictor of survival in another observational study on patients undergoing hemodialysis (367). A recent report on such patients in France confirmed that a satisfactory control of serum calcium, phosphate, or PTH was achieved in less than 20% among them (368).

 

Surgical Treatment

 

Surgical correction remains the final, symptomatic therapy of the most severe forms of secondary hyperparathyroidism, which cannot be controlled by medical treatment (369). The most important goal remains to prevent or correct the development of major clinical complications associated with this disease. The presence of severe hyperparathyroidism must be demonstrated by clinical, biochemical and imaging evidence. In general, neck surgery should only be done when plasma iPTH values are greatly elevated (> 600-800 pg/mL), together with an increase in plasma total alkaline phosphatases (or better bone-specific alkaline phosphatase), and only after one or several medical treatment attempts have remained unsuccessful in decreasing plasma iPTH with cinacalcet (in patients on dialysis only) and/or active vitamin D derivatives or if their use is relatively or absolutely contraindicated, namely in presence of persistent hypercalcemia, marked hyperphosphatemia, or severe vascular calcifications. Bone histomorphometry examination is rarely needed. Clinical symptoms and signs such as pruritus and osteoarticular pain are non-specific and therefore no good criteria for operation on their own. Similarly, an isolated increase in plasma calcium and/or phosphate, even in case of coexistent soft tissue calcifications, is not a sufficient criterion alone for surgical parathyroidectomy. However, in the presence of a persistently high plasma PTH the latter disturbances may facilitate the decision to proceed to surgery. The results can be spectacular, including in rare instances the complete disappearance of soft tissue calcifications from small peripheral arteries (see Figure 15b). A concomitant aluminum overload should be excluded or treated, if present, before performing surgery.

 

Parathyroid gland imaging is useful for the indication of parathyroidectomy, especially for recurrent hyperparathyroidism. Ultrasound examination is the first-line technique but generally misses ectopic glands (370). CT scan or MRI can be used to visualize ectopic glands but often cannot differentiate parathyroid tissue from lymph node or thyroid nodule. Scintigraphy using 99mTc sestamibi coupled with 123I is a much more specific technique, allowing detection of parathyroid tissue with a false-positive rate inferior to 5% (371). More recently, this method has been replaced by parathyroid 18F-fluorocholine positron emission tomography (PET/CT), which shows even greater sensitivity and accuracy in detecting abnormal parathyroid glands (371, 372).

 

Two main surgical procedures are generally used, either subtotal parathyroidectomy or total parathyroidectomy with immediate autotransplantation. There is no substantial difference in operative difficulties and treatment results between the two procedures. We found that the long-term frequency of recurrent hyperparathyroidism was similar (373). One group of authors claimed superiority of total parathyroidectomy without reimplantation of parathyroid tissue in terms of long-term control of hyperparathyroidism, tolerance, and safety (374), but this claim has been questioned by us and others (375-377). We do not recommend the performance of total parathyroidectomy without autotransplantation in uremic patients since permanent hypoparathyroidism and adynamic bone disease may ensue, with possible harmful consequences especially for those patients who subsequently undergo kidney transplantation.

 

As regards the prevalence of parathyroidectomy, it was very high before the turn of the century. Moreover, it did not change significantly between 1983 and 1996. According to a survey from Northern Italy in 7371 dialysis patients (378) it was 5.5% in all patients together but increased with duration of RRT, from 9.2% after 10-15 years to 20.8% after 16-20 years of dialysis therapy. A subsequent survey from the US showed that parathyroidectomy rates were much lower in the first decade of the 21st century. It decreased from 7.9‰  in 2003 to a nadir of 3.3‰ in 2005 - most likely due to the commercial introduction of cinacalcet -, then rose again to 5.5‰ through 2006, and subsequently remained stable until 2011 (379). The authors concluded that despite the use of multiple medical therapies the rates of parathyroidectomy in patients with secondary hyperparathyroidism did not decline in recent years. These findings are in contrast with a Canadian study (380) and the international Dialysis Outcomes and Practice Patterns Study (DOPPS) (381). The Canadian study, although restricted to a single province (Quebec), showed a sustained reduction in parathyroidectomy rates after 2006. DOPPS reported that prescriptions of active vitamin D analogs and cinacalcet increased and that parathyroidectomy rates decreased. Difference in medical treatment modalities between geographic regions and different modes of data analysis may at least partially account for these apparent discrepancies. This is illustrated by the observation that parathyroidectomy rates in Japan fell abruptly after the advent of cinacalcet to approximately 2‰, with median serum iPTH around 150 pg/mL between 1996 and 2011 (381).

 

Parathyroidectomy was associated with higher short-term mortality, but lower long-term mortality among 4558 patients on dialysis in the US as compared to matched patients who did not undergo parathyroidectomy (382). However, that report did not contain information on serum PTH levels. Whether presently available therapeutic and prophylactic measures taken to attenuate secondary hyperparathyroidism play an important role in reducing cardiovascular morbidity and mortality among patients with ESKD remains a matter of debate. The EVOLVE trial points to better clinical outcomes with a more efficient control of hyperparathyroidism by cinacalcet than by optimal standard treatment but the results, although suggestive, must still be considered as not definitively conclusive (312,317).

 

Surgical Versus Medical Management

 

Whether surgical treatment is superior to medical treatment in controlling severe secondary hyperparathyroidism as regards hard clinical outcomes remains a matter of controversy. In the absence of randomized controlled trials, one has to rely on the results of observational studies. Two recent reports are available, exclusively on patients receiving dialysis therapy. The first study was performed in 209 patients in South Korea, either on hemodialysis or peritoneal dialysis (383). It showed that parathyroidectomy reduced the risk of new cardiovascular events by 86% compared to cinacalcet; however, all-cause mortality did not differ. However, the patients undergoing surgery had significantly higher iPTH levels than the patients on calcimimetic therapy (1,290 vs 719 pg/mL, P<0.001). The second study was performed in 3576 patients on hemodialysis in Japan (384). They were matched for serum iPTH levels (588 vs 566 pg/mL, P=NS). Here parathyroidectomy was associated with a lower risk of mortality compared with cinacalcet, particularly among patients with severe secondary hyperparathyroidism. It is impossible to draw firm conclusions from these two studies regarding the optimal treatment approach, all the more since no comparative information was provided on active vitamin D sterols as the other commonly used alternative medical treatment.

 

ACKNOWLEDGEMENTS

 

The author wishes to thank Mrs. Martine Netter, Paris for expert assistance in Figure design.

 

REFERENCES

 

  1. Moe S, Drüeke T, Cunningham J, Goodman W, Martin K, Olgaard K, Ott S, Sprague S, Lameire N, Eknoyan G; Kidney Disease: Improving Global Outcomes (KDIGO). Defini-tion, evaluation, and classification of renal osteodystrophy: a position statement from Kidney Disease: Improving Global Outcomes (KDIGO). Kidney Int. 2006 Jun;69(11):1945-53. doi: 10.1038/sj.ki.5000414. PMID: 16641930.
  2. Levin A, Bakris GL, Molitch M, Smulders M, Tian J, Williams LA, Andress DL. Prevalence of abnormal serum vitamin D, PTH, calcium, and phosphorus in patients with chronic kidney disease: results of the study to evaluate early kidney disease. Kidney Int. 2007 Jan;71(1):31-8. doi: 10.1038/sj.ki.5002009. Epub 2006 Nov 8. Erratum in: Kidney Int. 2009 Jun;75(11):1237. Erratum in: Kidney Int. 2009 Jun 1;75(11):1237. doi: 10.1038/ki.2009.100. PMID: 17091124.
  3. Fliser D, Kollerits B, Neyer U, Ankerst DP, Lhotta K, Lingenhel A, Ritz E, Kronenberg F; MMKD Study Group; Kuen E, König P, Kraatz G, Mann JF, Müller GA, Köhler H, Rieg-ler P. Fibroblast growth factor 23 (FGF23) predicts progression of chronic kidney dis-ease: the Mild to Moderate Kidney Disease (MMKD) Study. J Am Soc Nephrol. 2007 Sep;18(9):2600-8. doi: 10.1681/ASN.2006080936. Epub 2007 Jul 26. PMID: 17656479.
  4. Isakova T, Wahl P, Vargas GS, Gutiérrez OM, Scialla J, Xie H, Appleby D, Nessel L, Bel-lovich K, Chen J, Hamm L, Gadegbeku C, Horwitz E, Townsend RR, Anderson CA, Lash JP, Hsu CY, Leonard MB, Wolf M. Fibroblast growth factor 23 is elevated before parathyroid hormone and phosphate in chronic kidney disease. Kidney Int. 2011 Jun;79(12):1370-8. doi: 10.1038/ki.2011.47. Epub 2011 Mar 9. Erratum in: Kidney Int. 2012 Aug;82(4):498. PMID: 21389978; PMCID: PMC3134393.
  5. Hu MC, Kuro-o M, Moe OW. The emerging role of Klotho in clinical nephrology. Nephrol Dial Transplant. 2012 Jul;27(7):2650-7. doi: 10.1093/ndt/gfs160. PMID: 22802580; PMCID: PMC3398064.
  6. Drüeke TB, Massy ZA. Changing bone patterns with progression of chronic kidney dis-ease. Kidney Int. 2016 Feb;89(2):289-302. doi: 10.1016/j.kint.2015.12.004. PMID: 26806832.
  7. Evenepoel P, D'Haese P, Brandenburg V. Sclerostin and DKK1: new players in renal bone and vascular disease. Kidney Int. 2015 Aug;88(2):235-40. doi: 10.1038/ki.2015.156. Epub 2015 Jun 17. PMID: 26083653.
  8. Haarhaus M, Evenepoel P; European Renal Osteodystrophy (EUROD) workgroup; Chron-ic Kidney Disease Mineral and Bone Disorder (CKD-MBD) working group of the Euro-pean Renal Association–European Dialysis and Transplant Association (ERA-EDTA). Differentiating the causes of adynamic bone in advanced chronic kidney disease in-forms osteoporosis treatment. Kidney Int. 2021 Sep;100(3):546-558. doi: 10.1016/j.kint.2021.04.043. Epub 2021 Jun 5. PMID: 34102219.
  9. Malluche HH, Mawad HW, Monier-Faugere MC. Renal osteodystrophy in the first decade of the new millennium: analysis of 630 bone biopsies in black and white patients. J Bone Miner Res. 2011 Jun;26(6):1368-76. doi: 10.1002/jbmr.309. Erratum in: J Bone Miner Res. 2011 Nov;26(11):2793. PMID: 21611975; PMCID: PMC3312761.
  10. Block GA, Klassen PS, Lazarus JM, Ofsthun N, Lowrie EG, Chertow GM. Mineral me-tabolism, mortality, and morbidity in maintenance hemodialysis. J Am Soc Nephrol. 2004 Aug;15(8):2208-18. doi: 10.1097/01.ASN.0000133041.27682.A2. PMID: 15284307.
  11. Moe SM, Drüeke TB. Management of secondary hyperparathyroidism: the importance and the challenge of controlling parathyroid hormone levels without elevating calcium, phosphorus, and calcium-phosphorus product. Am J Nephrol. 2003 Nov-Dec;23(6):369-79. doi: 10.1159/000073945. Epub 2003 Oct 9. PMID: 14551461.
  12. Tentori F, Blayney MJ, Albert JM, Gillespie BW, Kerr PG, Bommer J, Young EW, Akiza-wa T, Akiba T, Pisoni RL, Robinson BM, Port FK. Mortality risk for dialysis patients with different levels of serum calcium, phosphorus, and PTH: the Dialysis Outcomes and Practice Patterns Study (DOPPS). Am J Kidney Dis. 2008 Sep;52(3):519-30. doi: 10.1053/j.ajkd.2008.03.020. Epub 2008 Jun 2. PMID: 18514987.
  13. Floege J. Calcium-containing phosphate binders in dialysis patients with cardiovascular calcifications: should we CARE-2 avoid them? Nephrol Dial Transplant. 2008 Oct;23(10):3050-2. doi: 10.1093/ndt/gfn393. Epub 2008 Jul 14. PMID: 18625662.
  14. Floege J, Kim J, Ireland E, Chazot C, Drueke T, de Francisco A, Kronenberg F, Marcelli D, Passlick-Deetjen J, Schernthaner G, Fouqueray B, Wheeler DC; ARO Investigators. Serum iPTH, calcium and phosphate, and the risk of mortality in a European haemodi-alysis population. Nephrol Dial Transplant. 2011 Jun;26(6):1948-55. doi: 10.1093/ndt/gfq219. Epub 2010 Apr 25. PMID: 20466670; PMCID: PMC3107766.
  15. Fernández-Martín JL, Martínez-Camblor P, Dionisi MP, Floege J, Ketteler M, London G, Locatelli F, Gorriz JL, Rutkowski B, Ferreira A, Bos WJ, Covic A, Rodríguez-García M, Sánchez JE, Rodríguez-Puyol D, Cannata-Andia JB; COSMOS group. Improvement of mineral and bone metabolism markers is associated with better survival in haemodi-alysis patients: the COSMOS study. Nephrol Dial Transplant. 2015 Sep;30(9):1542-51. doi: 10.1093/ndt/gfv099. Epub 2015 Apr 28. PMID: 25920921.
  16. Yamamoto S, Jørgensen HS, Zhao J, Karaboyas A, Komaba H, Vervloet M, Mazzaferro S, Cavalier E, Bieber B, Robinson B, Evenepoel P, Fukagawa M. Alkaline Phosphatase and Parathyroid Hormone Levels: International Variation and Associations With Clinical Outcomes in the DOPPS. Kidney Int Rep. 2024 Jan 11;9(4):863-876. doi: 10.1016/j.ekir.2024.01.002. PMID: 38765600; PMCID: PMC11101738.
  17. Hagström E, Hellman P, Larsson TE, Ingelsson E, Berglund L, Sundström J, Melhus H, Held C, Lind L, Michaëlsson K, Arnlöv J. Plasma parathyroid hormone and the risk of cardiovascular mortality in the community. Circulation. 2009 Jun 2;119(21):2765-71. doi: 10.1161/CIRCULATIONAHA.108.808733. Epub 2009 May 18. PMID: 19451355.

18     Ketteler M, Evenepoel P, Holden RM, Isakova T, Jørgensen HS, Komaba H, Nickolas TL, Sinha S, Vervloet MG, Cheung M, King JM, Grams ME, Jadoul M, Moysés RMA; Conference Participants. Chronic kidney disease-mineral and bone disorder: conclu-sions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney Int. 2025 Jan 10:S0085-2538(24)00810-X. doi: 10.1016/j.kint.2024.11.013. Epub ahead of print. PMID: 39864017.

  1. Slatopolsky E, Caglar S, Pennell JP, Taggart DD, Canterbury JM, Reiss E, Bricker NS. On the pathogenesis of hyperparathyroidism in chronic experimental renal insufficiency in the dog. J Clin Invest. 1971 Mar;50(3):492-9. doi: 10.1172/JCI106517. PMID: 5545116; PMCID: PMC291955.
  2. Vorland CJ, Biruete A, Lachcik PJ, Srinivasan S, Chen NX, Moe SM, Hill Gallant KM. Kidney Disease Progression Does Not Decrease Intestinal Phosphorus Absorption in a Rat Model of Chronic Kidney Disease-Mineral Bone Disorder. J Bone Miner Res. 2020 Feb;35(2):333-342. doi: 10.1002/jbmr.3894. Epub 2019 Nov 15. PMID: 31618470; PMCID: PMC7012714.
  3. Moranne O, Froissart M, Rossert J, Gauci C, Boffa JJ, Haymann JP, M'rad MB, Jacquot C, Houillier P, Stengel B, Fouqueray B; NephroTest Study Group. Timing of onset of CKD-related metabolic complications. J Am Soc Nephrol. 2009 Jan;20(1):164-71. doi: 10.1681/ASN.2008020159. Epub 2008 Nov 12. PMID: 19005010; PMCID: PMC2615728.
  4. Bover J, Rodriguez M, Trinidad P, Jara A, Martinez ME, Machado L, Llach F, Felsenfeld AJ. Factors in the development of secondary hyperparathyroidism during graded renal failure in the rat. Kidney Int. 1994 Apr;45(4):953-61. doi: 10.1038/ki.1994.129. PMID: 8007598.
  5. Hsu CY, Chertow GM. Elevations of serum phosphorus and potassium in mild to moder-ate chronic renal insufficiency. Nephrol Dial Transplant. 2002 Aug;17(8):1419-25. doi: 10.1093/ndt/17.8.1419. PMID: 12147789.
  6. Kurosu H, Kuro-O M. The Klotho gene family as a regulator of endocrine fibroblast growth factors. Mol Cell Endocrinol. 2009 Feb 5;299(1):72-8. doi: 10.1016/j.mce.2008.10.052. Epub 2008 Nov 21. PMID: 19063940.
  7. Ide N, Olauson H, Sato T, Densmore MJ, Wang H, Hanai JI, Larsson TE, Lanske B. In vivo evidence for a limited role of proximal tubular Klotho in renal phosphate han-dling. Kidney Int. 2016 Aug;90(2):348-362. doi: 10.1016/j.kint.2016.04.009. Epub 2016 Jun 9. PMID: 27292223.
  8. Hasegawa H, Nagano N, Urakawa I, Yamazaki Y, Iijima K, Fujita T, Yamashita T, Fuku-moto S, Shimada T. Direct evidence for a causative role of FGF23 in the abnormal re-nal phosphate handling and vitamin D metabolism in rats with early-stage chronic kid-ney disease. Kidney Int. 2010 Nov;78(10):975-80. doi: 10.1038/ki.2010.313. Epub 2010 Sep 15. PMID: 20844473.
  9. Dhayat NA, Ackermann D, Pruijm M, Ponte B, Ehret G, Guessous I, Leichtle AB, Pac-caud F, Mohaupt M, Fiedler GM, Devuyst O, Pechère-Bertschi A, Burnier M, Martin PY, Bochud M, Vogt B, Fuster DG. Fibroblast growth factor 23 and markers of mineral metabolism in individuals with preserved renal function. Kidney Int. 2016 Sep;90(3):648-57. doi: 10.1016/j.kint.2016.04.024. Epub 2016 Jun 28. PMID: 27370409.
  10. Hu MC, Shi M, Zhang J, Quiñones H, Griffith C, Kuro-o M, Moe OW. Klotho deficiency causes vascular calcification in chronic kidney disease. J Am Soc Nephrol. 2011 Jan;22(1):124-36. doi: 10.1681/ASN.2009121311. Epub 2010 Nov 29. PMID: 21115613; PMCID: PMC3014041.
  11. Lim K, Lu TS, Molostvov G, Lee C, Lam FT, Zehnder D, Hsiao LL. Vascular Klotho defi-ciency potentiates the development of human artery calcification and mediates re-sistance to fibroblast growth factor 23. Circulation. 2012 May 8;125(18):2243-55. doi: 10.1161/CIRCULATIONAHA.111.053405. Epub 2012 Apr 5. PMID: 22492635.
  12. Hu MC, Shi M, Zhang J, Pastor J, Nakatani T, Lanske B, Razzaque MS, Rosenblatt KP, Baum MG, Kuro-o M, Moe OW. Klotho: a novel phosphaturic substance acting as an autocrine enzyme in the renal proximal tubule. FASEB J. 2010 Sep;24(9):3438-50. doi: 10.1096/fj.10-154765. Epub 2010 May 13. PMID: 20466874; PMCID: PMC2923354.
  13. Chen G, Liu Y, Goetz R, Fu L, Jayaraman S, Hu MC, Moe OW, Liang G, Li X, Moham-madi M. α-Klotho is a non-enzymatic molecular scaffold for FGF23 hormone signalling. Nature. 2018 Jan 25;553(7689):461-466. doi: 10.1038/nature25451. Epub 2018 Jan 17. PMID: 29342138; PMCID: PMC6007875.
  14. Olauson H, Vervloet MG, Cozzolino M, Massy ZA, Ureña Torres P, Larsson TE. New insights into the FGF23-Klotho axis. Semin Nephrol. 2014 Nov;34(6):586-97. doi: 10.1016/j.semnephrol.2014.09.005. PMID: 25498378.
  15. Pavik I, Jaeger P, Ebner L, Wagner CA, Petzold K, Spichtig D, Poster D, Wüthrich RP, Russmann S, Serra AL. Secreted Klotho and FGF23 in chronic kidney disease Stage 1 to 5: a sequence suggested from a cross-sectional study. Nephrol Dial Transplant. 2013 Feb;28(2):352-9. doi: 10.1093/ndt/gfs460. Epub 2012 Nov 4. PMID: 23129826.
  16. Shimamura Y, Hamada K, Inoue K, Ogata K, Ishihara M, Kagawa T, Inoue M, Fujimoto S, Ikebe M, Yuasa K, Yamanaka S, Sugiura T, Terada Y. Serum levels of soluble se-creted α-Klotho are decreased in the early stages of chronic kidney disease, making it a probable novel biomarker for early diagnosis. Clin Exp Nephrol. 2012 Oct;16(5):722-9. doi: 10.1007/s10157-012-0621-7. Epub 2012 Mar 29. PMID: 22457086.
  17. Smith ER, Holt SG, Hewitson TD. αKlotho-FGF23 interactions and their role in kidney disease: a molecular insight. Cell Mol Life Sci. 2019 Dec;76(23):4705-4724. doi: 10.1007/s00018-019-03241-y. Epub 2019 Jul 26. PMID: 31350618; PMCID: PMC11105488.
  18. Wolf M. Update on fibroblast growth factor 23 in chronic kidney disease. Kidney Int. 2012 Oct;82(7):737-47. doi: 10.1038/ki.2012.176. Epub 2012 May 23. PMID: 22622492; PMCID: PMC3434320.
  19. Fan Y, Bi R, Densmore MJ, Sato T, Kobayashi T, Yuan Q, Zhou X, Erben RG, Lanske B. Parathyroid hormone 1 receptor is essential to induce FGF23 production and maintain systemic mineral ion homeostasis. FASEB J. 2016 Jan;30(1):428-40. doi: 10.1096/fj.15-278184. Epub 2015 Oct 1. PMID: 26428657; PMCID: PMC4684518.
  20. Meir T, Durlacher K, Pan Z, Amir G, Richards WG, Silver J, Naveh-Many T. Parathyroid hormone activates the orphan nuclear receptor Nurr1 to induce FGF23 transcription. Kidney Int. 2014 Dec;86(6):1106-15. doi: 10.1038/ki.2014.215. Epub 2014 Jun 18. PMID: 24940803.

39   . López I, Rodríguez-Ortiz ME, Almadén Y, Guerrero F, de Oca AM, Pineda C, Shalhoub V, Rodríguez M, Aguilera-Tejero E. Direct and indirect effects of parathyroid hormone on circulating levels of fibroblast growth factor 23 in vivo. Kidney Int. 2011 Sep;80(5):475-82. doi: 10.1038/ki.2011.107. Epub 2011 Apr 27. PMID: 21525854.

  1. Galitzer H, Ben-Dov IZ, Silver J, Naveh-Many T. Parathyroid cell resistance to fibroblast growth factor 23 in secondary hyperparathyroidism of chronic kidney disease. Kidney Int. 2010 Feb;77(3):211-8. doi: 10.1038/ki.2009.464. Epub 2009 Dec 16. PMID: 20016468.
  2. Canalejo R, Canalejo A, Martinez-Moreno JM, Rodriguez-Ortiz ME, Estepa JC, Mendoza FJ, Munoz-Castaneda JR, Shalhoub V, Almaden Y, Rodriguez M. FGF23 fails to inhibit uremic parathyroid glands. J Am Soc Nephrol. 2010 Jul;21(7):1125-35. doi: 10.1681/ASN.2009040427. Epub 2010 Apr 29. PMID: 20431039; PMCID: PMC3152229.
  3. Komaba H, Goto S, Fujii H, Hamada Y, Kobayashi A, Shibuya K, Tominaga Y, Otsuki N, Nibu K, Nakagawa K, Tsugawa N, Okano T, Kitazawa R, Fukagawa M, Kita T. De-pressed expression of Klotho and FGF receptor 1 in hyperplastic parathyroid glands from uremic patients. Kidney Int. 2010 Feb;77(3):232-8. doi: 10.1038/ki.2009.414. Epub 2009 Nov 4. Erratum in: Kidney Int. 2010 May;77(9):834. Kita, Tomoyuki [added]. PMID: 19890272.
  4. Larsson T, Nisbeth U, Ljunggren O, Jüppner H, Jonsson KB. Circulating concentration of FGF-23 increases as renal function declines in patients with chronic kidney disease, but does not change in response to variation in phosphate intake in healthy volunteers. Kid-ney Int. 2003 Dec;64(6):2272-9. doi: 10.1046/j.1523-1755.2003.00328.x. PMID: 14633152.
  5. Shigematsu T, Kazama JJ, Yamashita T, Fukumoto S, Hosoya T, Gejyo F, Fukagawa M. Possible involvement of circulating fibroblast growth factor 23 in the development of secondary hyperparathyroidism associated with renal insufficiency. Am J Kidney Dis. 2004 Aug;44(2):250-6. doi: 10.1053/j.ajkd.2004.04.029. PMID: 15264182.
  6. Komaba H, Fukagawa M. FGF23-parathyroid interaction: implications in chronic kidney disease. Kidney Int. 2010 Feb;77(4):292-8. doi: 10.1038/ki.2009.466. Epub 2009 Dec 9. PMID: 20010546.
  7. Spiegel DM, Brady K. Calcium balance in normal individuals and in patients with chronic kidney disease on low- and high-calcium diets. Kidney Int. 2012 Jun;81(11):1116-22. doi: 10.1038/ki.2011.490. Epub 2012 Feb 1. PMID: 22297674; PMCID: PMC3352985.
  8. Hill KM, Martin BR, Wastney ME, McCabe GP, Moe SM, Weaver CM, Peacock M. Oral calcium carbonate affects calcium but not phosphorus balance in stage 3-4 chronic kidney disease. Kidney Int. 2013 May;83(5):959-66. doi: 10.1038/ki.2012.403. Epub 2012 Dec 19. PMID: 23254903; PMCID: PMC4292921.
  9. Koizumi M, Komaba H, Fukagawa M. Parathyroid function in chronic kidney disease: role of FGF23-Klotho axis. Contrib Nephrol. 2013;180:110-23. doi: 10.1159/000346791. Epub 2013 May 3. PMID: 23652554.
  10. Goodman WG, Quarles LD. Development and progression of secondary hyperparathy-roidism in chronic kidney disease: lessons from molecular genetics. Kidney Int. 2008 Aug;74(3):276-88. doi: 10.1038/sj.ki.5002287. Epub 2007 Jun 13. PMID: 17568787.
  11. Lucas PA, Brown RC, Woodhead JS, Coles GA. 1,25-dihydroxycholecalciferol and para-thyroid hormone in advanced chronic renal failure: effects of simultaneous protein and phosphorus restriction. Clin Nephrol. 1986 Jan;25(1):7-10. PMID: 3754187.
  12. Nykjaer A, Dragun D, Walther D, Vorum H, Jacobsen C, Herz J, Melsen F, Christensen EI, Willnow TE. An endocytic pathway essential for renal uptake and activation of the steroid 25-(OH) vitamin D3. Cell. 1999 Feb 19;96(4):507-15. doi: 10.1016/s0092-8674(00)80655-8. PMID: 10052453.
  13. Zehnder D, Bland R, Walker EA, Bradwell AR, Howie AJ, Hewison M, Stewart PM. Ex-pression of 25-hydroxyvitamin D3-1alpha-hydroxylase in the human kidney. J Am Soc Nephrol. 1999 Dec;10(12):2465-73. doi: 10.1681/ASN.V10122465. PMID: 10589683.
  14. Cuppari L, Garcia-Lopes MG. Hypovitaminosis D in chronic kidney disease patients: prevalence and treatment. J Ren Nutr. 2009 Jan;19(1):38-43. doi: 10.1053/j.jrn.2008.10.005. PMID: 19121769.
  15. Mehrotra R, Kermah D, Budoff M, Salusky IB, Mao SS, Gao YL, Takasu J, Adler S, Nor-ris K. Hypovitaminosis D in chronic kidney disease. Clin J Am Soc Nephrol. 2008 Jul;3(4):1144-51. doi: 10.2215/CJN.05781207. Epub 2008 Apr 16. PMID: 18417740; PMCID: PMC2440286.
  16. Cunningham J, Makin H. How important is vitamin D deficiency in uraemia? Nephrol Dial Transplant. 1997 Jan;12(1):16-8. doi: 10.1093/ndt/12.1.16. PMID: 9027765.
  17. Ghazali A, Fardellone P, Pruna A, Atik A, Achard JM, Oprisiu R, Brazier M, Remond A, Morinière P, Garabedian M, Eastwood J, Fournier A. Is low plasma 25-(OH)vitamin D a major risk factor for hyperparathyroidism and Looser's zones independent of calcitriol? Kidney Int. 1999 Jun;55(6):2169-77. doi: 10.1046/j.1523-1755.1999.00480.x. PMID: 10354266.
  18. Ritter CS, Armbrecht HJ, Slatopolsky E, Brown AJ. 25-Hydroxyvitamin D(3) suppresses PTH synthesis and secretion by bovine parathyroid cells. Kidney Int. 2006 Aug;70(4):654-9. doi: 10.1038/sj.ki.5000394. Erratum in: Kidney Int. 2006 Sep;70(6):1190. PMID: 16807549.
  19. Vervloet MG, Massy ZA, Brandenburg VM, Mazzaferro S, Cozzolino M, Ureña-Torres P, Bover J, Goldsmith D; CKD-MBD Working Group of ERA-EDTA. Bone: a new endo-crine organ at the heart of chronic kidney disease and mineral and bone disorders. Lancet Diabetes Endocrinol. 2014 May;2(5):427-36. doi: 10.1016/S2213-8587(14)70059-2. PMID: 24795256.
  20. Glorieux G, Hsu CH, de Smet R, Dhondt A, van Kaer J, Vogeleere P, Lameire N, Vanholder R. Inhibition of calcitriol-induced monocyte CD14 expression by uremic tox-ins: role of purines. J Am Soc Nephrol. 1998 Oct;9(10):1826-31. doi: 10.1681/ASN.V9101826. PMID: 9773783.
  21. Patel SR, Ke HQ, Vanholder R, Koenig RJ, Hsu CH. Inhibition of calcitriol receptor bind-ing to vitamin D response elements by uremic toxins. J Clin Invest. 1995 Jul;96(1):50-9. doi: 10.1172/JCI118061. PMID: 7615822; PMCID: PMC185172.
  22. Goto S, Fujii H, Hamada Y, Yoshiya K, Fukagawa M. Association between indoxyl sulfate and skeletal resistance in hemodialysis patients. Ther Apher Dial. 2010 Aug 1;14(4):417-23. doi: 10.1111/j.1744-9987.2010.00813.x. PMID: 20649763.
  23. Watanabe K, Tominari T, Hirata M, Matsumoto C, Hirata J, Murphy G, Nagase H, Miyaura C, Inada M. Indoxyl sulfate, a uremic toxin in chronic kidney disease, sup-presses both bone formation and bone resorption. FEBS Open Bio. 2017 Jul 20;7(8):1178-1185. doi: 10.1002/2211-5463.12258. PMID: 28781957; PMCID: PMC5536993.
  24. Sumida K, Nakamura M, Ubara Y, Marui Y, Tanaka K, Takaichi K, Tomikawa S, Inoshita N, Ohashi K. Histopathological alterations of the parathyroid glands in haemodialysis patients with secondary hyperparathyroidism refractory to cinacalcet hydrochloride. J Clin Pathol. 2011 Sep;64(9):756-60. doi: 10.1136/jclinpath-2011-200100. Epub 2011 May 12. PMID: 21565858.
  25. Mao J, You H, Wang M, Ba Y, Qian J, Cheng P, Lu C, Chen J. Single-cell RNA sequenc-ing reveals transdifferentiation of parathyroid chief cells into oxyphil cells in patients with uremic secondary hyperparathyroidism. Kidney Int. 2024 Mar;105(3):562-581. doi: 10.1016/j.kint.2023.11.027. Epub 2023 Dec 21. PMID: 38142040.
  26. Dusso AS. Vitamin D receptor: mechanisms for vitamin D resistance in renal failure. Kid-ney Int Suppl. 2003 Jun;(85):S6-9. doi: 10.1046/j.1523-1755.63.s85.3.x. PMID: 12753256.
  27. Fukuda N, Tanaka H, Tominaga Y, Fukagawa M, Kurokawa K, Seino Y. Decreased 1,25-dihydroxyvitamin D3 receptor density is associated with a more severe form of parathyroid hyperplasia in chronic uremic patients. J Clin Invest. 1993 Sep;92(3):1436-43. doi: 10.1172/JCI116720. PMID: 8397225; PMCID: PMC288288.
  28. Patel SR, Ke HQ, Vanholder R, Hsu CH. Inhibition of nuclear uptake of calcitriol receptor by uremic ultrafiltrate. Kidney Int. 1994 Jul;46(1):129-33. doi: 10.1038/ki.1994.252. PMID: 7933830.
  29. Garfia B, Cañadillas S, Canalejo A, Luque F, Siendones E, Quesada M, Almadén Y, Aguilera-Tejero E, Rodríguez M. Regulation of parathyroid vitamin D receptor expres-sion by extracellular calcium. J Am Soc Nephrol. 2002 Dec;13(12):2945-52. doi: 10.1097/01.asn.0000037676.54018.cb. PMID: 12444213.
  30. Sela-Brown A, Russell J, Koszewski NJ, Michalak M, Naveh-Many T, Silver J. Calreticu-lin inhibits vitamin D's action on the PTH gene in vitro and may prevent vitamin D's ef-fect in vivo in hypocalcemic rats. Mol Endocrinol. 1998 Aug;12(8):1193-200. doi: 10.1210/mend.12.8.0148. PMID: 9717845.
  31. Brown AJ, Zhong M, Finch J, Ritter C, McCracken R, Morrissey J, Slatopolsky E. Rat calcium-sensing receptor is regulated by vitamin D but not by calcium. Am J Physiol. 1996 Mar;270(3 Pt 2):F454-60. doi: 10.1152/ajprenal.1996.270.3.F454. PMID: 8780248.
  32. Mendoza FJ, Lopez I, Canalejo R, Almaden Y, Martin D, Aguilera-Tejero E, Rodriguez M. Direct upregulation of parathyroid calcium-sensing receptor and vitamin D receptor by calcimimetics in uremic rats. Am J Physiol Renal Physiol. 2009 Mar;296(3):F605-13. doi: 10.1152/ajprenal.90272.2008. Epub 2008 Dec 17. PMID: 19091789.
  33. Silver J, Sela SB, Naveh-Many T. Regulation of parathyroid cell proliferation. Curr Opin Nephrol Hypertens. 1997 Jul;6(4):321-6. doi: 10.1097/00041552-199707000-00004. PMID: 9263680.
  34. Szabo A, Merke J, Beier E, Mall G, Ritz E. 1,25(OH)2 vitamin D3 inhibits parathyroid cell proliferation in experimental uremia. Kidney Int. 1989 Apr;35(4):1049-56. doi: 10.1038/ki.1989.89. PMID: 2709685.
  35. Fukagawa M, Kaname S, Igarashi T, Ogata E, Kurokawa K. Regulation of parathyroid hormone synthesis in chronic renal failure in rats. Kidney Int. 1991 May;39(5):874-81. doi: 10.1038/ki.1991.110. PMID: 2067203.
  36. Naveh-Many T, Rahamimov R, Livni N, Silver J. Parathyroid cell proliferation in normal and chronic renal failure rats. The effects of calcium, phosphate, and vitamin D. J Clin Invest. 1995 Oct;96(4):1786-93. doi: 10.1172/JCI118224. PMID: 7560070; PMCID: PMC185815.
  37. Nygren P, Larsson R, Johansson H, Ljunghall S, Rastad J, Akerström G. 1,25(OH)2D3 inhibits hormone secretion and proliferation but not functional dedifferentiation of cul-tured bovine parathyroid cells. Calcif Tissue Int. 1988 Oct;43(4):213-8. doi: 10.1007/BF02555137. PMID: 3145126.
  38. Kremer R, Bolivar I, Goltzman D, Hendy GN. Influence of calcium and 1,25-dihydroxycholecalciferol on proliferation and proto-oncogene expression in primary cul-tures of bovine parathyroid cells. Endocrinology 1989; 125: 935–941.
  39. Ishimi Y, Russell J, Sherwood LM. Regulation by calcium and 1,25-(OH)2D3 of cell pro-liferation and function of bovine parathyroid cells in culture. J Bone Miner Res. 1990 Jul;5(7):755-60. doi: 10.1002/jbmr.5650050712. PMID: 2396502.
  40. Roussanne MC, Lieberherr M, Souberbielle JC, Sarfati E, Drüeke T, Bourdeau A. Human parathyroid cell proliferation in response to calcium, NPS R-467, calcitriol and phos-phate. Eur J Clin Invest. 2001 Jul;31(7):610-6. doi: 10.1046/j.1365-2362.2001.00809.x. PMID: 11454016.
  41. Fernández E, Fibla J, Betriu A, Piulats JM, Almirall J, Montoliu J. Association between vitamin D receptor gene polymorphism and relative hypoparathyroidism in patients with chronic renal failure. J Am Soc Nephrol. 1997 Oct;8(10):1546-52. doi: 10.1681/ASN.V8101546. PMID: 9335382.
  42. Nagaba Y, Heishi M, Tazawa H, Tsukamoto Y, Kobayashi Y. Vitamin D receptor gene polymorphisms affect secondary hyperparathyroidism in hemodialyzed patients. Am J Kidney Dis. 1998 Sep;32(3):464-9. doi: 10.1053/ajkd.1998.v32.pm9740163. PMID: 9740163.
  43. Yokoyama K, Shigematsu T, Tsukada T, Ogura Y, Takemoto F, Hara S, Yamada A, Ka-waguchi Y, Hosoya T. Apa I polymorphism in the vitamin D receptor gene may affect the parathyroid response in Japanese with end-stage renal disease. Kidney Int. 1998 Feb;53(2):454-8. doi: 10.1046/j.1523-1755.1998.00781.x. PMID: 9461106.
  44. Carling T, Rastad J, Akerström G, Westin G. Vitamin D receptor (VDR) and parathyroid hormone messenger ribonucleic acid levels correspond to polymorphic VDR alleles in human parathyroid tumors. J Clin Endocrinol Metab. 1998 Jul;83(7):2255-9. doi: 10.1210/jcem.83.7.4862. PMID: 9661591.
  45. Schmidt S, Chudek J, Karkoszka H, Heemann U, Reichel H, Rambausek M, Kokot F, Ritz E. The BsmI vitamin D-receptor polymorphism and secondary hyperparathyroid-ism. Nephrol Dial Transplant. 1997 Aug;12(8):1771-2. PMID: 9269677.
  46. Torres A, Machado M, Concepción MT, Martín N, Lorenzo V, Hernández D, Rodríguez AP, Rodríguez A, de Bonis E, González-Posada JM, Hernández A, Salido E. Influence of vitamin D receptor genotype on bone mass changes after renal transplantation. Kid-ney Int. 1996 Nov;50(5):1726-33. doi: 10.1038/ki.1996.492. PMID: 8914043.
  47. Hawa NS, Cockerill FJ, Vadher S, Hewison M, Rut AR, Pike JW, O'Riordan JL, Farrow SM. Identification of a novel mutation in hereditary vitamin D resistant rickets causing exon skipping. Clin Endocrinol (Oxf). 1996 Jul;45(1):85-92. PMID: 8796143.
  48. Morrison NA, Qi JC, Tokita A, Kelly PJ, Crofts L, Nguyen TV, Sambrook PN, Eisman JA. Prediction of bone density from vitamin D receptor alleles. Nature. 1994 Jan 20;367(6460):284-7. doi: 10.1038/367284a0. Erratum in: Nature 1997 May 1;387(6628):106. PMID: 8161378.
  49. Egstrand S, Nordholm A, Morevati M, Mace ML, Hassan A, Naveh-Many T, Rukov JL, Gravesen E, Olgaard K, Lewin E. A molecular circadian clock operates in the parathy-roid gland and is disturbed in chronic kidney disease associated bone and mineral dis-order. Kidney Int. 2020 Dec;98(6):1461-1475. doi: 10.1016/j.kint.2020.06.034. Epub 2020 Jul 25. PMID: 32721445.
  50. Egstrand S, Mace ML, Morevati M, Nordholm A, Engelholm LH, Thomsen JS, Brüel A, Naveh-Many T, Guo Y, Olgaard K, Lewin E. Hypomorphic expression of parathyroid Bmal1 disrupts the internal parathyroid circadian clock and increases parathyroid cell proliferation in response to uremia. Kidney Int. 2022 Jun;101(6):1232-1250. doi: 10.1016/j.kint.2022.02.018. Epub 2022 Mar 9. PMID: 35276205.
  51. Isakova T, Gutierrez O, Shah A, Castaldo L, Holmes J, Lee H, Wolf M. Postprandial min-eral metabolism and secondary hyperparathyroidism in early CKD. J Am Soc Nephrol. 2008 Mar;19(3):615-23. doi: 10.1681/ASN.2007060673. Epub 2008 Jan 23. Erratum in: J Am Soc Nephrol. 2009 Jan;20(1):229. PMID: 18216315; PMCID: PMC2391049.
  52. Santamaria R, Almaden Y, Felsenfeld A, Martin-Malo A, Gao P, Cantor T, Aljama P, Ro-driguez M. Dynamics of PTH secretion in hemodialysis patients as determined by the intact and whole PTH assays. Kidney Int. 2003 Nov;64(5):1867-73. doi: 10.1046/j.1523-1755.2003.00262.x. PMID: 14531822.
  53. Moysés RM, Pereira RC, Machado dos Reis L, Sabbaga E, Jorgetti V. Dynamic tests of parathyroid hormone secretion using hemodialysis and calcium infusion cannot be compared. Kidney Int. 1999 Aug;56(2):659-65. doi: 10.1046/j.1523-1755.1999.00593.x. PMID: 10432406.
  54. Brown EM. Four-parameter model of the sigmoidal relationship between parathyroid hormone release and extracellular calcium concentration in normal and abnormal para-thyroid tissue. J Clin Endocrinol Metab. 1983 Mar;56(3):572-81. doi: 10.1210/jcem-56-3-572. PMID: 6822654.
  55. Gogusev J, Duchambon P, Hory B, Giovannini M, Goureau Y, Sarfati E, Drüeke TB. Depressed expression of calcium receptor in parathyroid gland tissue of patients with hyperparathyroidism. Kidney Int. 1997 Jan;51(1):328-36. doi: 10.1038/ki.1997.41. PMID: 8995751.
  56. Kifor O, Moore FD Jr, Wang P, Goldstein M, Vassilev P, Kifor I, Hebert SC, Brown EM. Reduced immunostaining for the extracellular Ca2+-sensing receptor in primary and uremic secondary hyperparathyroidism. J Clin Endocrinol Metab. 1996 Apr;81(4):1598-606. doi: 10.1210/jcem.81.4.8636374. PMID: 8636374.
  57. Rodríguez-Ortiz ME, Canalejo A, Herencia C, Martínez-Moreno JM, Peralta-Ramírez A, Perez-Martinez P, Navarro-González JF, Rodríguez M, Peter M, Gundlach K, Steppan S, Passlick-Deetjen J, Muñoz-Castañeda JR, Almaden Y. Magnesium modulates para-thyroid hormone secretion and upregulates parathyroid receptor expression at moder-ately low calcium concentration. Nephrol Dial Transplant. 2014 Feb;29(2):282-9. doi: 10.1093/ndt/gft400. Epub 2013 Oct 8. PMID: 24103811; PMCID: PMC3910342.
  58. Brown AJ, Ritter CS, Finch JL, Slatopolsky EA. Decreased calcium-sensing receptor expression in hyperplastic parathyroid glands of uremic rats: role of dietary phosphate. Kidney Int. 1999 Apr;55(4):1284-92. doi: 10.1046/j.1523-1755.1999.00386.x. PMID: 10200992.
  59. Campion KL, McCormick WD, Warwicker J, Khayat ME, Atkinson-Dell R, Steward MC, Delbridge LW, Mun HC, Conigrave AD, Ward DT. Pathophysiologic Changes in Extra-cellular pH Modulate Parathyroid Calcium-Sensing Receptor Activity and Secretion via a Histidine-Independent Mechanism. J Am Soc Nephrol. 2015 Sep;26(9):2163-71. doi: 10.1681/ASN.2014070653. Epub 2015 Jan 2. PMID: 25556167; PMCID: PMC4552114.
  60. Centeno PP, Herberger A, Mun HC, Tu C, Nemeth EF, Chang W, Conigrave AD, Ward DT. Phosphate acts directly on the calcium-sensing receptor to stimulate parathyroid hormone secretion. Nat Commun. 2019 Oct 16;10(1):4693. doi: 10.1038/s41467-019-12399-9. PMID: 31619668; PMCID: PMC6795806.
  61. Almaden Y, Hernandez A, Torregrosa V, Canalejo A, Sabate L, Fernandez Cruz L, Campistol JM, Torres A, Rodriguez M. High phosphate level directly stimulates para-thyroid hormone secretion and synthesis by human parathyroid tissue in vitro. J Am Soc Nephrol. 1998 Oct;9(10):1845-52. doi: 10.1681/ASN.V9101845. PMID: 9773785.
  62. Lewin E, Garfia B, Almaden Y, Rodriguez M, Olgaard K. Autoregulation in the parathy-roid glands by PTH/PTHrP receptor ligands in normal and uremic rats. Kidney Int. 2003 Jul;64(1):63-70. doi: 10.1046/j.1523-1755.2003.00056.x. PMID: 12787396.
  63. Goodman WG, Veldhuis JD, Belin TR, Van Herle AJ, Juppner H, Salusky IB. Calcium-sensing by parathyroid glands in secondary hyperparathyroidism. J Clin Endocrinol Metab. 1998 Aug;83(8):2765-72. doi: 10.1210/jcem.83.8.4999. PMID: 9709944.
  64. Rodriguez M, Caravaca F, Fernandez E, Borrego MJ, Lorenzo V, Cubero J, Martin-Malo A, Betriu A, Jimenez A, Torres A, Felsenfeld AJ. Parathyroid function as a deter-minant of the response to calcitriol treatment in the hemodialysis patient. Kidney Int. 1999 Jul;56(1):306-17. doi: 10.1046/j.1523-1755.1999.00538.x. PMID: 10411707.
  65. Goodman WG, Belin TR, Salusky IB. In vivo assessments of calcium-regulated para-thyroid hormone release in secondary hyperparathyroidism. Kidney Int. 1996 Dec;50(6):1834-44. doi: 10.1038/ki.1996.503. PMID: 8943464.
  66. Ouseph R, Leiser JD, Moe SM. Calcitriol and the parathyroid hormone-ionized calcium curve: a comparison of methodologic approaches. J Am Soc Nephrol. 1996 Mar;7(3):497-505. doi: 10.1681/ASN.V73497. PMID: 8704117.
  67. Mathias RS, Nguyen HT, Zhang MYH, Portale AA. Reduced expression of the renal calcium-sensing receptor in rats with experimental chronic renal insufficiency. J Amer Soc Nephrol 1998; 9: 2067–2074.
  68. Wada M, Ishii H, Furuya Y, Fox J, Nemeth EF, Nagano N. NPS R-568 halts or reverses osteitis fibrosa in uremic rats. Kidney Int. 1998 Feb;53(2):448-53. doi: 10.1046/j.1523-1755.1998.00782.x. PMID: 9461105.
  69. Wernerson A, Widholm SM, Svensson O, Reinholt FP. Parathyroid cell number and size in hypocalcemic young rats. APMIS. 1991 Dec;99(12):1096-102. doi: 10.1111/j.1699-0463.1991.tb01306.x. PMID: 1772646.
  70. LeBoff MS, Rennke HG, Brown EM. Abnormal regulation of parathyroid cell secretion and proliferation in primary cultures of bovine parathyroid cells. Endocrinology. 1983 Jul;113(1):277-84. doi: 10.1210/endo-113-1-277. PMID: 6407823.
  71. LeBoff MS, Shoback D, Brown EM, Thatcher J, Leombruno R, Beaudoin D, Henry M, Wilson R, Pallotta J, Marynick S, et al. Regulation of parathyroid hormone release and cytosolic calcium by extracellular calcium in dispersed and cultured bovine and patho-logical human parathyroid cells. J Clin Invest. 1985 Jan;75(1):49-57. doi: 10.1172/JCI111696. PMID: 3965511; PMCID: PMC423397.
  72. MacGregor RR, Sarras MP Jr, Houle A, Cohn DV. Primary monolayer cell culture of bovine parathyroids: effects of calcium, isoproterenol and growth factors. Mol Cell En-docrinol. 1983 Jun;30(3):313-28. doi: 10.1016/0303-7207(83)90067-9. PMID: 6862097.
  73. Ridgeway RD, Hamilton JW, MacGregor RR. Characteristics of bovine parathyroid cell organoids in culture. In Vitro Cell Dev Biol. 1986 Feb;22(2):91-9. doi: 10.1007/BF02623538. PMID: 3949675.
  74. Brandi ML, Fitzpatrick LA, Coon HG, Aurbach GD. Bovine parathyroid cells: cultures maintained for more than 140 population doublings. Proc Natl Acad Sci U S A. 1986 Mar;83(6):1709-13. doi: 10.1073/pnas.83.6.1709. PMID: 3006065; PMCID: PMC323153.
  75. Brown AJ, Zhong M, Ritter C, Brown EM, Slatopolsky E. Loss of calcium responsive-ness in cultured bovine parathyroid cells is associated with decreased calcium receptor expression. Biochem Biophys Res Commun. 1995 Jul 26;212(3):861-7. doi: 10.1006/bbrc.1995.2048. PMID: 7626122.
  76. Mithal A, Kifor O, Kifor I, Vassilev P, Butters R, Krapcho K, Simin R, Fuller F, Hebert SC, Brown EM. The reduced responsiveness of cultured bovine parathyroid cells to ex-tracellular Ca2+ is associated with marked reduction in the expression of extracellular Ca(2+)-sensing receptor messenger ribonucleic acid and protein. Endocrinology. 1995 Jul;136(7):3087-92. doi: 10.1210/endo.136.7.7789335. PMID: 7789335.
  77. Brandi ML, Ornberg RL, Sakaguchi K, Curcio F, Fattorossi A, Lelkes PI, Matsui T, Zimering M, Aurbach GD. Establishment and characterization of a clonal line of para-thyroid endothelial cells. FASEB J. 1990 Oct;4(13):3152-8. doi: 10.1096/fasebj.4.13.1698682. PMID: 1698682.
  78. Sakaguchi K. Acidic fibroblast growth factor autocrine system as a mediator of calcium-regulated parathyroid cell growth. J Biol Chem. 1992 Dec 5;267(34):24554-62. PMID: 1280262.
  79. Roussanne MC, Gogusev J, Hory B, Duchambon P, Souberbielle JC, Nabarra B, Pier-rat D, Sarfati E, Drüeke T, Bourdeau A. Persistence of Ca2+-sensing receptor expres-sion in functionally active, long-term human parathyroid cell cultures. J Bone Miner Res. 1998 Mar;13(3):354-62. doi: 10.1359/jbmr.1998.13.3.354. PMID: 9525335.
  80. Mizobuchi M, Hatamura I, Ogata H et al. Calcimimetic compound upregulates de-creased calcium-sensing receptor expression level in parathyroid glands of rats with chronic renal insufficiency. J Am Soc Nephrol 2004; 15: 2579–2587.
  81. Chikatsu N, Fukumoto S, Takeuchi Y, Suzawa M, Obara T, Matsumoto T, Fujita T. Cloning and characterization of two promoters for the human calcium-sensing receptor (CaSR) and changes of CaSR expression in parathyroid adenomas. J Biol Chem. 2000 Mar 17;275(11):7553-7. doi: 10.1074/jbc.275.11.7553. PMID: 10713061.
  82. Lundgren S, Carling T, Hjälm G, Juhlin C, Rastad J, Pihlgren U, Rask L, Akerström G, Hellman P. Tissue distribution of human gp330/megalin, a putative Ca(2+)-sensing pro-tein. J Histochem Cytochem. 1997 Mar;45(3):383-92. doi: 10.1177/002215549704500306. PMID: 9071320.
  83. Egstrand S, Mace ML, Morevati M, Engelholm LH, Thomsen JS, Brüel A, Olgaard K, Lewin E. Chronotherapy with Cinacalcet has a striking effect on inhibition of parathy-roid gland proliferation in rats with secondary hyperparathyroidism. PLoS One. 2025 Jan 6;20(1):e0316675. doi: 10.1371/journal.pone.0316675. PMID: 39761264; PMCID: PMC11703009.
  84. Almaden Y, Canalejo A, Hernandez A, Ballesteros E, Garcia-Navarro S, Torres A, Ro-driguez M. Direct effect of phosphorus on PTH secretion from whole rat parathyroid glands in vitro. J Bone Miner Res. 1996 Jul;11(7):970-6. doi: 10.1002/jbmr.5650110714. PMID: 8797118.
  85. Nielsen PK, Feldt-Rasmussen U, Olgaard K. A direct effect in vitro of phosphate on PTH release from bovine parathyroid tissue slices but not from dispersed parathyroid cells. Nephrol Dial Transplant. 1996 Sep;11(9):1762-8. PMID: 8918619.
  86. Slatopolsky E, Finch J, Denda M, Ritter C, Zhong M, Dusso A, MacDonald PN, Brown AJ. Phosphorus restriction prevents parathyroid gland growth. High phosphorus directly stimulates PTH secretion in vitro. J Clin Invest. 1996 Jun 1;97(11):2534-40. doi: 10.1172/JCI118701. PMID: 8647946; PMCID: PMC507339.
  87. Almadén Y, Canalejo A, Ballesteros E, Añón G, Cañadillas S, Rodríguez M. Regulation of arachidonic acid production by intracellular calcium in parathyroid cells: effect of ex-tracellular phosphate. J Am Soc Nephrol. 2002 Mar;13(3):693-698. doi: 10.1681/ASN.V133693. PMID: 11856773.
  88. Moallem E, Kilav R, Silver J, Naveh-Many T. RNA-Protein binding and post-transcriptional regulation of parathyroid hormone gene expression by calcium and phosphate. J Biol Chem. 1998 Feb 27;273(9):5253-9. doi: 10.1074/jbc.273.9.5253. PMID: 9478982.
  89. Yalcindag C, Silver J, Naveh-Many T. Mechanism of increased parathyroid hormone mRNA in experimental uremia: roles of protein RNA binding and RNA degradation. J Am Soc Nephrol. 1999 Dec;10(12):2562-8. doi: 10.1681/ASN.V10122562. PMID: 10589695.
  90. Sela-Brown A, Silver J, Brewer G, Naveh-Many T. Identification of AUF1 as a parathy-roid hormone mRNA 3'-untranslated region-binding protein that determines parathyroid hormone mRNA stability. J Biol Chem. 2000 Mar 10;275(10):7424-9. doi: 10.1074/jbc.275.10.7424. PMID: 10702317.
  91. Slatopolsky E, Delmez JA. Pathogenesis of secondary hyperparathyroidism. Miner Electrolyte Metab. 1995;21(1-3):91-6. PMID: 7565472.
  92. Yi H, Fukagawa M, Yamato H, Kumagai M, Watanabe T, Kurokawa K. Prevention of enhanced parathyroid hormone secretion, synthesis and hyperplasia by mild dietary phosphorus restriction in early chronic renal failure in rats: possible direct role of phos-phorus. Nephron. 1995;70(2):242-8. doi: 10.1159/000188591. PMID: 7566311.
  93. Takahashi F, Denda M, Finch JL, Brown AJ, Slatopolsky E. Hyperplasia of the parathy-roid gland without secondary hyperparathyroidism. Kidney Int. 2002 Apr;61(4):1332-8. doi: 10.1046/j.1523-1755.2002.00265.x. PMID: 11918740.
  94. Roussanne M-C, Gogusev J, Sarfati E, Drüeke T, Bourdeau A. Effect of phosphate on PTH secretion and proliferation in human parathyroid cells in culture (Abstract). J Bone Min Res (suppl 1) 1997; 12: S387.
  95. Silver J, Naveh-Many T. FGF23 and the parathyroid. Adv Exp Med Biol. 2012;728:92-9. doi: 10.1007/978-1-4614-0887-1_6. PMID: 22396164.
  96. Canalejo R, Canalejo A, Martinez-Moreno JM, Rodriguez-Ortiz ME, Estepa JC, Mendo-za FJ, Munoz-Castaneda JR, Shalhoub V, Almaden Y, Rodriguez M. FGF23 fails to in-hibit uremic parathyroid glands. J Am Soc Nephrol. 2010 Jul;21(7):1125-35. doi: 10.1681/ASN.2009040427. Epub 2010 Apr 29. PMID: 20431039; PMCID: PMC3152229.
  97. Hofman-Bang J, Martuseviciene G, Santini MA, Olgaard K, Lewin E. Increased parathy-roid expression of klotho in uremic rats. Kidney Int. 2010 Dec;78(11):1119-27. doi: 10.1038/ki.2010.215. Epub 2010 Jul 14. PMID: 20631679.
  98. Fan Y, Liu W, Bi R, Densmore MJ, Sato T, Mannstadt M, Yuan Q, Zhou X, Olauson H, Larsson TE, Toka HR, Pollak MR, Brown EM, Lanske B. Interrelated role of Klotho and calcium-sensing receptor in parathyroid hormone synthesis and parathyroid hyperplas-ia. Proc Natl Acad Sci U S A. 2018 Apr 17;115(16):E3749-E3758. doi: 10.1073/pnas.1717754115. Epub 2018 Apr 4. PMID: 29618612; PMCID: PMC5910831.
  99. Mace ML, Olgaard K, Lewin E. New Aspects of the Kidney in the Regulation of Fibro-blast Growth Factor 23 (FGF23) and Mineral Homeostasis. Int J Mol Sci. 2020 Nov 20;21(22):8810. doi: 10.3390/ijms21228810. PMID: 33233840; PMCID: PMC7699902.
  100. Shilo V, Ben-Dov IZ, Nechama M, Silver J, Naveh-Many T. Parathyroid-specific dele-tion of dicer-dependent microRNAs abrogates the response of the parathyroid to acute and chronic hypocalcemia and uremia. FASEB J. 2015 Sep;29(9):3964-76. doi: 10.1096/fj.15-274191. Epub 2015 Jun 8. PMID: 26054367.
  101. Shilo V, Mor-Yosef Levi I, Abel R, Mihailović A, Wasserman G, Naveh-Many T, Ben-Dov IZ. Let-7 and MicroRNA-148 Regulate Parathyroid Hormone Levels in Secondary Hyperparathyroidism. J Am Soc Nephrol. 2017 Aug;28(8):2353-2363. doi: 10.1681/ASN.2016050585. Epub 2017 Mar 15. PMID: 28298326; PMCID: PMC5533223.
  102. Volovelsky O, Cohen G, Kenig A, Wasserman G, Dreazen A, Meyuhas O, Silver J, Naveh-Many T. Phosphorylation of Ribosomal Protein S6 Mediates Mammalian Target of Rapamycin Complex 1-Induced Parathyroid Cell Proliferation in Secondary Hy-perparathyroidism. J Am Soc Nephrol. 2016 Apr;27(4):1091-101. doi: 10.1681/ASN.2015040339. Epub 2015 Aug 17. PMID: 26283674; PMCID: PMC4814192.
  103. Hassan A, Khalaily N, Kilav-Levin R, Del Castello B, Manley NR, Ben-Dov IZ, Naveh-Many T. Dicer-Mediated mTORC1 Signaling and Parathyroid Gland Integrity and Function. J Am Soc Nephrol. 2024 May 31;35(9):1183–97. doi: 10.1681/ASN.0000000000000394. Epub ahead of print. PMID: 38819931; PMCID: PMC11387037.
  104. Khalaily N, Hassan A, Khream Y, Naveh-Many T, Ben-Dov IZ. The roles of mTORC1 in parathyroid gland function in chronic kidney disease-induced secondary hyperparathy-roidism: Evidence from male genetic mouse models and clinical data. FASEB J. 2024 Nov 30;38(22):e70184. doi: 10.1096/fj.202401547RR. PMID: 39570083; PMCID: PMC11580712.
  105. Aubia J, Serrano S, Mariñoso L, Hojman L, Diez A, Lloveras J, Masramon J. Osteo-dystrophy of diabetics in chronic dialysis: a histomorphometric study. Calcif Tissue Int. 1988 May;42(5):297-301. doi: 10.1007/BF02556363. PMID: 3135097.
  106. Hernandez D, Concepcion MT, Lorenzo V, Martinez ME, Rodriguez A, De Bonis E, Gonzalez-Posada JM, Felsenfeld AJ, Rodriguez M, Torres A. Adynamic bone disease with negative aluminium staining in predialysis patients: prevalence and evolution after maintenance dialysis. Nephrol Dial Transplant. 1994;9(5):517-23. doi: 10.1093/ndt/9.5.517. PMID: 7522307.
  107. Pei Y, Hercz G, Greenwood C, Segre G, Manuel A, Saiphoo C, Fenton S, Sherrard D. Renal osteodystrophy in diabetic patients. Kidney Int. 1993 Jul;44(1):159-64. doi: 10.1038/ki.1993.226. PMID: 8355457.
  108. Vincenti F, Arnaud SB, Recker R, Genant H, Amend WJ Jr, Feduska NJ, Salvatierra O Jr. Parathyroid and bone response of the diabetic patient to uremia. Kidney Int. 1984 Apr;25(4):677-82. doi: 10.1038/ki.1984.73. PMID: 6482171.
  109. Panuccio V, Mallamaci F, Tripepi G, Parlongo S, Cutrupi S, Asahi K, Miyata T, Zoccali C. Low parathyroid hormone and pentosidine in hemodialysis patients. Am J Kidney Dis. 2002 Oct;40(4):810-5. doi: 10.1053/ajkd.2002.35693. PMID: 12324917.
  110. Hocher B, Armbruster FP, Stoeva S, Reichetzeder C, Grön HJ, Lieker I, Khadzhynov D, Slowinski T, Roth HJ. Measuring parathyroid hormone (PTH) in patients with oxida-tive stress--do we need a fourth generation parathyroid hormone assay? PLoS One. 2012;7(7):e40242. doi: 10.1371/journal.pone.0040242. Epub 2012 Jul 6. PMID: 22792251; PMCID: PMC3391306.
  111. Hocher B, Zeng S. Clear the Fog around Parathyroid Hormone Assays: What Do iPTH Assays Really Measure? Clin J Am Soc Nephrol. 2018 Apr 6;13(4):524-526. doi: 10.2215/CJN.01730218. Epub 2018 Mar 5. PMID: 29507007; PMCID: PMC5969453.
  112. Jara A, Bover J, Felsenfeld AJ. Development of secondary hyperparathyroidism and bone disease in diabetic rats with renal failure. Kidney Int. 1995 Jun;47(6):1746-51. doi: 10.1038/ki.1995.241. PMID: 7643545.
  113. Sugimoto T, Ritter C, Morrissey J, Hayes C, Slatopolsky E. Effects of high concentrations of glucose on PTH secretion in parathyroid cells. Kidney Int. 1990 Jun;37(6):1522-7. doi: 10.1038/ki.1990.144. PMID: 2194068.
  114. Cannata JB, Briggs JD, Junor BJ, Beastall G, Fell GS. The influence of aluminium on parathyroid hormone levels in haemodialysis patients. Proc Eur Dial Transplant Assoc. 1983;19:244-7. PMID: 6878239.
  115. Llach F, Felsenfeld AJ, Coleman MD, Keveney JJ Jr, Pederson JA, Medlock TR. The natural course of dialysis osteomalacia. Kidney Int Suppl. 1986 Feb;18:S74-9. PMID: 3458001.
  116. Andress D, Felsenfeld AJ, Voigts A, Llach F. Parathyroid hormone response to hypocalcemia in hemodialysis patients with osteomalacia. Kidney Int. 1983 Sep;24(3):364-70. doi: 10.1038/ki.1983.168. PMID: 6645210.
  117. Kraut JA, Shinaberger JH, Singer FR, Sherrard DJ, Saxton J, Miller JH, Kurokawa K, Coburn JW. Parathyroid gland responsiveness to acute hypocalcemia in dialysis osteomalacia. Kidney Int. 1983 May;23(5):725-30. doi: 10.1038/ki.1983.85. PMID: 6876568.
  118. Cann CE, Prussin SG, Gordan GS. Aluminum uptake by the parathyroid glands. J Clin Endocrinol Metab. 1979 Oct;49(4):543-5. doi: 10.1210/jcem-49-4-543. PMID: 479346.
  119. Rodriguez M, Felsenfeld AJ, Llach F. The role of aluminum in the development of hypercalcemia in the rat. Kidney Int. 1987 Mar;31(3):766-71. doi: 10.1038/ki.1987.64. PMID: 3573539.
  120. Morrissey J, Slatopolsky E. Effect of aluminum on parathyroid hormone secretion. Kidney Int Suppl. 1986 Feb;18:S41-4. PMID: 3457994.
  121. Alfrey AC, Sedman A, Chan YL. The compartmentalization and metabolism of aluminum in uremic rats. J Lab Clin Med. 1985 Feb;105(2):227-33. PMID: 3973462.
  122. Henry DA, Goodman WG, Nudelman RK, DiDomenico NC, Alfrey AC, Slatopolsky E, Stanley TM, Coburn JW. Parenteral aluminum administration in the dog: I. Plasma kinetics, tissue levels, calcium metabolism, and parathyroid hormone. Kidney Int. 1984 Feb;25(2):362-9. doi: 10.1038/ki.1984.25. PMID: 6427508.
  123. Smans KA, D'Haese PC, Van Landeghem GF, Andries LJ, Lamberts LV, Hendy GN, De Broe ME. Transferrin-mediated uptake of aluminium by human parathyroid cells results in reduced parathyroid hormone secretion. Nephrol Dial Transplant. 2000 Sep;15(9):1328-36. doi: 10.1093/ndt/15.9.1328. PMID: 10978387.
  124. Finch JL, Bergfeld M, Martin KJ, Chan YL, Teitelbaum S, Slatopolsky E. The effects of discontinuation of aluminum exposure on aluminum-induced osteomalacia. Kidney Int. 1986 Sep;30(3):318-24. doi: 10.1038/ki.1986.187. PMID: 3784278.
  125. Felsenfeld AJ, Rodriguez M, Coleman M, Ross D, Llach F. Desferrioxamine therapy in hemodialysis patients with aluminum-associated bone disease. Kidney Int. 1989 Jun;35(6):1371-8. doi: 10.1038/ki.1989.136. PMID: 2770115.
  126. Cozzolino M, Lu Y, Finch J, Slatopolsky E, Dusso AS. p21WAF1 and TGF-alpha mediate parathyroid growth arrest by vitamin D and high calcium. Kidney Int. 2001 Dec;60(6):2109-17. doi: 10.1046/j.1523-1755.2001.00042.x. PMID: 11737585.
  127. Cordero JB, Cozzolino M, Lu Y, Vidal M, Slatopolsky E, Stahl PD, Barbieri MA, Dusso A. 1,25-Dihydroxyvitamin D down-regulates cell membrane growth- and nuclear growth-promoting signals by the epidermal growth factor receptor. J Biol Chem. 2002 Oct 11;277(41):38965-71. doi: 10.1074/jbc.M203736200. Epub 2002 Aug 13. PMID: 12181310.
  128. Dusso AS, Pavlopoulos T, Naumovich L, Lu Y, Finch J, Brown AJ, Morrissey J, Slatopolsky E. p21(WAF1) and transforming growth factor-alpha mediate dietary phosphate regulation of parathyroid cell growth. Kidney Int. 2001 Mar;59(3):855-65. doi: 10.1046/j.1523-1755.2001.059003855.x. PMID: 11231340.
  129. Gogusev J, Duchambon P, Stoermann-Chopard C, Giovannini M, Sarfati E, Drüeke TB. De novo expression of transforming growth factor-alpha in parathyroid gland tissue of patients with primary or secondary uraemic hyperparathyroidism. Nephrol Dial Transplant. 1996 Nov;11(11):2155-62. doi: 10.1093/oxfordjournals.ndt.a027131. PMID: 8941573.
  130. Arcidiacono MV, Cozzolino M, Spiegel N, Tokumoto M, Yang J, Lu Y, Sato T, Lomonte C, Basile C, Slatopolsky E, Dusso AS. Activator protein 2alpha mediates parathyroid TGF-alpha self-induction in secondary hyperparathyroidism. J Am Soc Nephrol. 2008 Oct;19(10):1919-28. doi: 10.1681/ASN.2007111216. Epub 2008 Jun 25. PMID: 18579641; PMCID: PMC2551566.

169a. Centeno PP, Binmahfouz LS, Alghamdi K, Ward DT. Inhibition of the calcium-sensing receptor by extracellular phosphate ions and by intracellular phosphorylation. Front Physiol. 2023 Mar 31;14:1154374. doi: 10.3389/fphys.2023.1154374. PMID: 37064904; PMCID: PMC10102455.

  1. Matsushita H, Hara M, Endo Y, Shishiba Y, Hara S, Ubara Y, Nakazawa H, Suzuki N, Kawaminami K, Kido T, Li Q, Grimelius L. Proliferation of parathyroid cells negatively correlates with expression of parathyroid hormone-related protein in secondary parathyroid hyperplasia. Kidney Int. 1999 Jan;55(1):130-8. doi: 10.1046/j.1523-1755.1999.00230.x. PMID: 9893121.
  2. Günther T, Chen ZF, Kim J, Priemel M, Rueger JM, Amling M, Moseley JM, Martin TJ, Anderson DJ, Karsenty G. Genetic ablation of parathyroid glands reveals another source of parathyroid hormone. Nature. 2000 Jul 13;406(6792):199-203. doi: 10.1038/35018111. PMID: 10910362.
  3. Correa P, Akerström G, Westin G. Underexpression of Gcm2, a master regulatory gene of parathyroid gland development, in adenomas of primary hyperparathyroidism. Clin Endocrinol (Oxf). 2002 Oct;57(4):501-5. doi: 10.1046/j.1365-2265.2002.01627.x. PMID: 12354132.
  4. Han SI, Tsunekage Y, Kataoka K. Gata3 cooperates with Gcm2 and MafB to activate parathyroid hormone gene expression by interacting with SP1. Mol Cell Endocrinol. 2015 Aug 15;411:113-20. doi: 10.1016/j.mce.2015.04.018. Epub 2015 Apr 24. PMID: 25917456.
  5. Morito N, Yoh K, Usui T, Oishi H, Ojima M, Fujita A, Koshida R, Shawki HH, Hamada M, Muratani M, Yamagata K, Takahashi S. Transcription factor MafB may play an important role in secondary hyperparathyroidism. Kidney Int. 2018 Jan;93(1):54-68. doi: 10.1016/j.kint.2017.06.023. Epub 2017 Sep 28. PMID: 28964572.
  6. Naveh-Many T, Silver J. Transcription factors that determine parathyroid development power PTH expression. Kidney Int. 2018 Jan;93(1):7-9. doi: 10.1016/j.kint.2017.08.026. PMID: 29291826.
  7. Mendes V, Jorgetti V, Nemeth J, Lavergne A, Lecharpentier Y, Dubost C, Cournot-Witmer C, Bourdon R, Bourdeau A, Zingraff J, et al. Secondary hyperparathyroidism in chronic haemodialysis patients: a clinico-pathological study. Proc Eur Dial Transplant Assoc. 1983;20:731-8. PMID: 6657693.
  8. Arnold A, Brown MF, Ureña P, Gaz RD, Sarfati E, Drüeke TB. Monoclonality of parathyroid tumors in chronic renal failure and in primary parathyroid hyperplasia. J Clin Invest. 1995 May;95(5):2047-53. doi: 10.1172/JCI117890. PMID: 7738171; PMCID: PMC295791.
  9. Chudek J, Ritz E, Kovacs G. Genetic abnormalities in parathyroid nodules of uremic patients. Clin Cancer Res. 1998 Jan;4(1):211-4. PMID: 9516973.
  10. Tominaga Y, Kohara S, Namii Y, Nagasaka T, Haba T, Uchida K, Numano M, Tanaka Y, Takagi H. Clonal analysis of nodular parathyroid hyperplasia in renal hyperparathyroidism. World J Surg. 1996 Sep;20(7):744-50; discussion 750-2. doi: 10.1007/s002689900113. PMID: 8678945.
  11. Tominaga Y, Takagi H. Molecular genetics of hyperparathyroid disease. Curr Opin Nephrol Hypertens. 1996 Jul;5(4):336-41. doi: 10.1097/00041552-199607000-00008. PMID: 8823531.
  12. Imanishi Y, Tahara H, Palanisamy N, Spitalny S, Salusky IB, Goodman W, Brandi ML, Drüeke TB, Sarfati E, Ureña P, Chaganti RS, Arnold A. Clonal chromosomal defects in the molecular pathogenesis of refractory hyperparathyroidism of uremia. J Am Soc Nephrol. 2002 Jun;13(6):1490-8. doi: 10.1097/01.asn.0000018148.50109.c0. PMID: 12039978.
  13. Hsi ED, Zukerberg LR, Yang WI, Arnold A. Cyclin D1/PRAD1 expression in parathyroid adenomas: an immunohistochemical study. J Clin Endocrinol Metab. 1996 May;81(5):1736-9. doi: 10.1210/jcem.81.5.8626826. PMID: 8626826.
  14. Tominaga Y, Tsuzuki T, Uchida K, Haba T, Otsuka S, Ichimori T, Yamada K, Numano M, Tanaka Y, Takagi H. Expression of PRAD1/cyclin D1, retinoblastoma gene products, and Ki67 in parathyroid hyperplasia caused by chronic renal failure versus primary adenoma. Kidney Int. 1999 Apr;55(4):1375-83. doi: 10.1046/j.1523-1755.1999.00396.x. PMID: 10201002.
  15. Brown SB, Brierley TT, Palanisamy N, Salusky IB, Goodman W, Brandi ML, Drüeke TB, Sarfati E, Ureña P, Chaganti RS, Pike JW, Arnold A. Vitamin D receptor as a candidate tumor-suppressor gene in severe hyperparathyroidism of uremia. J Clin Endocrinol Metab. 2000 Feb;85(2):868-72. doi: 10.1210/jcem.85.2.6426. PMID: 10690903.
  16. Degenhardt S, Toell A, Weidemann W, Dotzenrath C, Spindler KD, Grabensee B. Point mutations of the human parathyroid calcium receptor gene are not responsible for non-suppressible renal hyperparathyroidism. Kidney Int. 1998 Mar;53(3):556-61. doi: 10.1046/j.1523-1755.1998.00802.x. PMID: 9507199.
  17. Djema AI, Mahmoud MD, Collin P, Heymann MF. Hyperparathyroïdie tertiaire: cancer parathyroïdien avec métastases hépatiques chez un hémodialysé [Tertiary hyperparathyroidism: parathyroid cancer with liver metastases in a hemodialyzed patient]. Nephrologie. 1998;19(3):121-3. French. PMID: 9633054.
  18. Miki H, Sumitomo M, Inoue H, Kita S, Monden Y. Parathyroid carcinoma in patients with chronic renal failure on maintenance hemodialysis. Surgery. 1996 Nov;120(5):897-901. doi: 10.1016/s0039-6060(96)80101-2. PMID: 8909528.
  19. Takami H, Kameyama K, Nagakubo I. Parathyroid carcinoma in a patient receiving long-term hemodialysis. Surgery. 1999 Feb;125(2):239-40. doi: 10.1016/s0039-6060(99)70273-4. PMID: 10026762.
  20. Drüeke TB, Zhang P, Gogusev J. Apoptosis: background and possible role in secondary hyperparathyroidism. Nephrol Dial Transplant. 1997 Nov;12(11):2228-33. doi: 10.1093/ndt/12.11.2228. PMID: 9394304.
  21. Parfitt AM. The hyperparathyroidism of chronic renal failure: a disorder of growth. Kidney Int. 1997 Jul;52(1):3-9. doi: 10.1038/ki.1997.297. PMID: 9211340.
  22. Wada M, Furuya Y, Sakiyama J et al. The calcimimetic compound NPS R-568 suppresses parathyroid cell proliferation in rats with renal insufficiency. Control of parathyroid cell growth via a calcium receptor. J. Clin. Invest. 1997; 100: 2977–2983.
  23. Canalejo A, Almadén Y, Torregrosa V, Gomez-Villamandos JC, Ramos B, Campistol JM, Felsenfeld AJ, Rodríguez M. The in vitro effect of calcitriol on parathyroid cell proliferation and apoptosis. J Am Soc Nephrol. 2000 Oct;11(10):1865-1872. doi: 10.1681/ASN.V11101865. PMID: 11004217.
  24. Jara A, Bover J, Felsenfeld AJ. Development of secondary hyperparathyroidism and bone disease in diabetic rats with renal failure. Kidney Int. 1995 Jun;47(6):1746-51. doi: 10.1038/ki.1995.241. PMID: 7643545.
  25. Zhang P, Duchambon P, Gogusev J, Nabarra B, Sarfati E, Bourdeau A, Drüeke TB. Apoptosis in parathyroid hyperplasia of patients with primary or secondary uremic hyperparathyroidism. Kidney Int. 2000 Feb;57(2):437-45. doi: 10.1046/j.1523-1755.2000.00863.x. PMID: 10652020.
  26. Heidenreich S, Schmidt M, Bachmann J, Harrach B. Apoptosis of monocytes cultured from long-term hemodialysis patients. Kidney Int. 1996 Mar;49(3):792-9. doi: 10.1038/ki.1996.110. PMID: 8648922.
  27. Massry SG, Fadda GZ. Chronic renal failure is a state of cellular calcium toxicity. Am J Kidney Dis. 1993 Jan;21(1):81-6. doi: 10.1016/s0272-6386(12)80727-x. PMID: 8418632.
  28. Carracedo J, Ramírez R, Martin-Malo A, Rodríguez M, Aljama P. Nonbiocompatible hemodialysis membranes induce apoptosis in mononuclear cells: the role of G-proteins. J Am Soc Nephrol. 1998 Jan;9(1):46-53. doi: 10.1681/ASN.V9146. PMID: 9440086.
  29. Lewin E, Wang W, Olgaard K. Reversibility of experimental secondary hyperparathyroidism. Kidney Int. 1997 Nov;52(5):1232-41. doi: 10.1038/ki.1997.448. PMID: 9350646.
  30. Henry HL, Taylor AN, Norman AW. Response of chick parathyroid glands to the vitamin D metabolites, 1,25-dihydroxycholecalciferol and 24,25-dihydroxycholecalciferol. J Nutr. 1977 Oct;107(10):1918-26. doi: 10.1093/jn/107.10.1918. PMID: 903834.
  31. Cloutier M, Brossard JH, Gascon-Barré M, D'Amour P. Lack of involution of hyperplastic parathyroid glands in dogs: adaptation via a decrease in the calcium stimulation set point and a change in secretion profile. J Bone Miner Res. 1994 May;9(5):621-9. doi: 10.1002/jbmr.5650090506. PMID: 8053390.
  32. Colloton M, Shatzen E, Miller G, Stehman-Breen C, Wada M, Lacey D, Martin D. Cinacalcet HCl attenuates parathyroid hyperplasia in a rat model of secondary hyperparathyroidism. Kidney Int. 2005 Feb;67(2):467-76. doi: 10.1111/j.1523-1755.2005.67103.x. PMID: 15673294.
  33. Miller G, Davis J, Shatzen E, Colloton M, Martin D, Henley CM. Cinacalcet HCl prevents development of parathyroid gland hyperplasia and reverses established parathyroid gland hyperplasia in a rodent model of CKD. Nephrol Dial Transplant. 2012 Jun;27(6):2198-205. doi: 10.1093/ndt/gfr589. Epub 2011 Oct 29. PMID: 22036941; PMCID: PMC3363978.
  34. E Nylen, A Shah, J Hall. Spontaneous remission of primary hyperparathroidism from parathroid apoplexy. J. Clin. Endocrinol. Metab. 1996; 81: 1326–1328.
  35. Fukagawa M, Okazaki R, Takano K, Kaname S, Ogata E, Kitaoka M, Harada S, Sekine N, Matsumoto T, Kurokawa K. Regression of parathyroid hyperplasia by calcitriol-pulse therapy in patients on long-term dialysis. N Engl J Med. 1990 Aug 9;323(6):421-2. doi: 10.1056/NEJM199008093230617. PMID: 2370898.
  36. Quarles LD, Yohay DA, Carroll BA, Spritzer CE, Minda SA, Bartholomay D, Lobaugh BA. Prospective trial of pulse oral versus intravenous calcitriol treatment of hyperparathyroidism in ESRD. Kidney Int. 1994 Jun;45(6):1710-21. doi: 10.1038/ki.1994.223. PMID: 7933819.
  37. Fukagawa M, Kitaoka M, Yi H, Fukuda N, Matsumoto T, Ogata E, Kurokawa K. Serial evaluation of parathyroid size by ultrasonography is another useful marker for the long-term prognosis of calcitriol pulse therapy in chronic dialysis patients. Nephron. 1994;68(2):221-8. doi: 10.1159/000188261. PMID: 7830860.
  38. Okuno S, Ishimura E, Kitatani K, Chou H, Nagasue K, Maekawa K, Izumotani T, Yamakawa T, Imanishi Y, Shoji T, Inaba M, Nishizawa Y. Relationship between parathyroid gland size and responsiveness to maxacalcitol therapy in patients with secondary hyperparathyroidism. Nephrol Dial Transplant. 2003 Dec;18(12):2613-21. doi: 10.1093/ndt/gfg451. PMID: 14605286.
  39. Martin KJ, Hruska KA, Lewis J, Anderson C, Slatopolsky E. The renal handling of parathyroid hormone. Role of peritubular uptake and glomerular filtration. J Clin Invest. 1977 Oct;60(4):808-14. doi: 10.1172/JCI108834. PMID: 893678; PMCID: PMC372428.
  40. Hilpert J, Nykjaer A, Jacobsen C, Wallukat G, Nielsen R, Moestrup SK, Haller H, Luft FC, Christensen EI, Willnow TE. Megalin antagonizes activation of the parathyroid hormone receptor. J Biol Chem. 1999 Feb 26;274(9):5620-5. doi: 10.1074/jbc.274.9.5620. PMID: 10026179.
  41. Freitag J, Martin KJ, Hruska KA, Anderson C, Conrades M, Ladenson J, Klahr S, Slatopolsky E. Impaired parathyroid hormone metabolism in patients with chronic renal failure. N Engl J Med. 1978 Jan 5;298(1):29-32. doi: 10.1056/NEJM197801052980107. PMID: 337145.
  42. Hruska KA, Kopelman R, Rutherford WE, Klahr S, Slatopolsky E, Greenwalt A, Bascom T, Markham J. Metabolism in immunoreactive parathyroid hormone in the dog. The role of the kidney and the effects of chronic renal disease. J Clin Invest. 1975 Jul;56(1):39-48. doi: 10.1172/JCI108077. PMID: 1141439; PMCID: PMC436553.
  43. Martin KJ, Hruska KA, Freitag JJ, Klahr S, Slatopolsky E. The peripheral metabolism of parathyroid hormone. N Engl J Med. 1979 Nov 15;301(20):1092-8. doi: 10.1056/NEJM197911153012005. PMID: 386126.
  44. Daugaard H, Egfjord M, Lewin E, Olgaard K. Metabolism of intact PTH by isolated perfused kidney and liver from uremic rats. Exp Nephrol. 1994 Jul-Aug;2(4):240-8. PMID: 8069660.
  45. Fukagawa M, Kazama JJ, Shigematsu T. Skeletal resistance to pth as a basic abnormality underlying uremic bone diseases. Am J Kidney Dis. 2001 Oct;38(4 Suppl 1):S152-5. doi: 10.1053/ajkd.2001.27426. PMID: 11576943.
  46. Kazama JJ, Shigematsu T, Yano K, Tsuda E, Miura M, Iwasaki Y, Kawaguchi Y, Gejyo F, Kurokawa K, Fukagawa M. Increased circulating levels of osteoclastogenesis inhibitory factor (osteoprotegerin) in patients with chronic renal failure. Am J Kidney Dis. 2002 Mar;39(3):525-32. doi: 10.1053/ajkd.2002.31402. PMID: 11877571.
  47. Smogorzewski M, Tian J, Massry SG. Down-regulation of PTH-PTHrP receptor of heart in CRF: role of [Ca2+]i. Kidney Int. 1995 Apr;47(4):1182-6. doi: 10.1038/ki.1995.168. PMID: 7783417.
  48. Ureña P, Ferreira A, Morieux C, Drüeke T, de Vernejoul MC. PTH/PTHrP receptor mRNA is down-regulated in epiphyseal cartilage growth plate of uraemic rats. Nephrol Dial Transplant. 1996 Oct;11(10):2008-16. doi: 10.1093/oxfordjournals.ndt.a027089. PMID: 8918715.
  49. Ureña P, Kubrusly M, Mannstadt M, Hruby M, Trinh MM, Silve C, Lacour B, Abou-Samra AB, Segre GV, Drüeke T. The renal PTH/PTHrP receptor is down-regulated in rats with chronic renal failure. Kidney Int. 1994 Feb;45(2):605-11. doi: 10.1038/ki.1994.79. PMID: 8164450.
  50. Ureña P, Mannstadt M, Hruby M, Ferreira A, Schmitt F, Silve C, Ardaillou R, Lacour B, Abou-Samra AB, Segre GV, et al. Parathyroidectomy does not prevent the renal PTH/PTHrP receptor down-regulation in uremic rats. Kidney Int. 1995 Jun;47(6):1797-805. doi: 10.1038/ki.1995.248. PMID: 7643551.
  51. Picton ML, Moore PR, Mawer EB, Houghton D, Freemont AJ, Hutchison AJ, Gokal R, Hoyland JA. Down-regulation of human osteoblast PTH/PTHrP receptor mRNA in end-stage renal failure. Kidney Int. 2000 Oct;58(4):1440-9. doi: 10.1046/j.1523-1755.2000.00306.x. PMID: 11012879.
  52. Langub MC, Monier-Faugere MC, Qi Q, Geng Z, Koszewski NJ, Malluche HH. Parathyroid hormone/parathyroid hormone-related peptide type 1 receptor in human bone. J Bone Miner Res. 2001 Mar;16(3):448-56. doi: 10.1359/jbmr.2001.16.3.448. PMID: 11277262.
  53. Takenaka T, Inoue T, Miyazaki T, Hayashi M, Suzuki H. Xeno-Klotho Inhibits Parathyroid Hormone Signaling. J Bone Miner Res. 2016 Feb;31(2):455-62. doi: 10.1002/jbmr.2691. Epub 2015 Sep 11. PMID: 26287968.
  54. Drüeke TB, Lafage-Proust MH. Sclerostin: just one more player in renal bone disease? Clin J Am Soc Nephrol. 2011 Apr;6(4):700-3. doi: 10.2215/CJN.01370211. Epub 2011 Mar 24. PMID: 21441122.
  55. Sugatani T. Systemic Activation of Activin A Signaling Causes Chronic Kidney Disease-Mineral Bone Disorder. Int J Mol Sci. 2018 Aug 23;19(9):2490. doi: 10.3390/ijms19092490. PMID: 30142896; PMCID: PMC6163495.
  56. Viaene L, Behets GJ, Claes K, Meijers B, Blocki F, Brandenburg V, Evenepoel P, D'Haese PC. Sclerostin: another bone-related protein related to all-cause mortality in haemodialysis? Nephrol Dial Transplant. 2013 Dec;28(12):3024-30. doi: 10.1093/ndt/gft039. Epub 2013 Apr 19. PMID: 23605174.
  57. Drechsler C, Evenepoel P, Vervloet MG, Wanner C, Ketteler M, Marx N, Floege J, Dekker FW, Brandenburg VM; NECOSAD Study Group. High levels of circulating sclerostin are associated with better cardiovascular survival in incident dialysis patients: results from the NECOSAD study. Nephrol Dial Transplant. 2015 Feb;30(2):288-93. doi: 10.1093/ndt/gfu301. Epub 2014 Sep 23. PMID: 25248363.
  58. Bellido T, Ali AA, Gubrij I, Plotkin LI, Fu Q, O'Brien CA, Manolagas SC, Jilka RL. Chronic elevation of parathyroid hormone in mice reduces expression of sclerostin by osteocytes: a novel mechanism for hormonal control of osteoblastogenesis. Endocrinology. 2005 Nov;146(11):4577-83. doi: 10.1210/en.2005-0239. Epub 2005 Aug 4. PMID: 16081646.
  59. Kramer I, Loots GG, Studer A, Keller H, Kneissel M. Parathyroid hormone (PTH)-induced bone gain is blunted in SOST overexpressing and deficient mice. J Bone Miner Res. 2010 Feb;25(2):178-89. doi: 10.1359/jbmr.090730. PMID: 19594304; PMCID: PMC3153379.
  60. Fujita K, Roforth MM, Demaray S, McGregor U, Kirmani S, McCready LK, Peterson JM, Drake MT, Monroe DG, Khosla S. Effects of estrogen on bone mRNA levels of sclerostin and other genes relevant to bone metabolism in postmenopausal women. J Clin Endocrinol Metab. 2014 Jan;99(1):E81-8. doi: 10.1210/jc.2013-3249. Epub 2013 Dec 20. PMID: 24170101; PMCID: PMC3879677.
  61. Silva BC, Bilezikian JP. Parathyroid hormone: anabolic and catabolic actions on the skeleton. Curr Opin Pharmacol. 2015 Jun;22:41-50. doi: 10.1016/j.coph.2015.03.005. Epub 2015 Apr 5. PMID: 25854704; PMCID: PMC5407089.
  62. Cejka D, Herberth J, Branscum AJ, Fardo DW, Monier-Faugere MC, Diarra D, Haas M, Malluche HH. Sclerostin and Dickkopf-1 in renal osteodystrophy. Clin J Am Soc Nephrol. 2011 Apr;6(4):877-82. doi: 10.2215/CJN.06550810. Epub 2010 Dec 16. PMID: 21164019; PMCID: PMC3069382.
  63. Lima F, Mawad H, El-Husseini AA, Davenport DL, Malluche HH. Serum bone markers in ROD patients across the spectrum of decreases in GFR: Activin A increases before all other markers
. Clin Nephrol. 2019 Apr;91(4):222-230. doi: 10.5414/CN109650. PMID: 30862350; PMCID: PMC6595397.
  64. Lima F, Mawad H, El-Husseini AA, Davenport DL, Malluche HH. Serum bone markers in ROD patients across the spectrum of decreases in GFR: Activin A increases before all other markers
. Clin Nephrol. 2019 Apr;91(4):222-230. doi: 10.5414/CN109650. PMID: 30862350; PMCID: PMC6595397.
  65. Yu M, Malik Tyagi A, Li JY, Adams J, Denning TL, Weitzmann MN, Jones RM, Pacifici R. PTH induces bone loss via microbial-dependent expansion of intestinal TNF+ T cells and Th17 cells. Nat Commun. 2020 Jan 24;11(1):468. doi: 10.1038/s41467-019-14148-4. PMID: 31980603; PMCID: PMC6981196.
  66. Massy ZA, Drueke TB. Gut microbiota orchestrates PTH action in bone: role of butyrate and T cells. Kidney Int. 2020 Aug;98(2):269-272. doi: 10.1016/j.kint.2020.03.004. Epub 2020 Mar 25. PMID: 32600825.
  67. Evenepoel P, Jørgensen HS. Skeletal parathyroid hormone hyporesponsiveness: a neglected, but clinically relevant reality in chronic kidney disease. Curr Opin Nephrol Hypertens. 2024 Jul 1;33(4):383-390. doi: 10.1097/MNH.0000000000000992. Epub 2024 Apr 23. PMID: 38651491.
  68. Komaba H, Imaizumi T, Hamano T, Fujii N, Abe M, Hanafusa N, Fukagawa M. Lower Parathyroid Hormone Levels are Associated With Reduced Fracture Risk in Japanese Patients on Hemodialysis. Kidney Int Rep. 2024 Jul 18;9(10):2956-2969. doi: 10.1016/j.ekir.2024.07.008. PMID: 39430172; PMCID: PMC11489479.
  69. Llach F. Calcific uremic arteriolopathy (calciphylaxis): an evolving entity. J Kidney Dis. 1998 Sep;32(3):514-8. doi: 10.1053/ajkd.1998.v32.pm9740172. PMID: 9740172.
  70. Floege J, Kubo Y, Floege A, Chertow GM, Parfrey PS. The Effect of Cinacalcet on Calcific Uremic Arteriolopathy Events in Patients Receiving Hemodialysis: The EVOLVE Trial. Clin J Am Soc Nephrol. 2015 May 7;10(5):800-7. doi: 10.2215/CJN.10221014. Epub 2015 Apr 17. PMID: 25887067; PMCID: PMC4422249.
  71. Viljoen A, Singh DK, Twomey PJ, Farrington K. Analytical quality goals for parathyroid hormone based on biological variation. Clin Chem Lab Med. 2008;46(10):1438-42. doi: 10.1515/CCLM.2008.275. PMID: 18844499.
  72. Barreto FC, Barreto DV, Moysés RM, Neves KR, Canziani ME, Draibe SA, Jorgetti V, Carvalho AB. K/DOQI-recommended intact PTH levels do not prevent low-turnover bone disease in hemodialysis patients. Kidney Int. 2008 Mar;73(6):771-7. doi: 10.1038/sj.ki.5002769. Epub 2008 Jan 9. PMID: 18185506.
  73. Solal ME, Sebert JL, Boudailliez B, Marie A, Moriniere P, Gueris J, Bouillon R, Fournier A. Comparison of intact, midregion, and carboxy terminal assays of parathyroid hormone for the diagnosis of bone disease in hemodialyzed patients. J Clin Endocrinol Metab. 1991 Sep;73(3):516-24. doi: 10.1210/jcem-73-3-516. PMID: 1874930.
  74. Quarles LD, Lobaugh B, Murphy G. Intact parathyroid hormone overestimates the presence and severity of parathyroid-mediated osseous abnormalities in uremia. J Clin Endocrinol Metab. 1992 Jul;75(1):145-50. doi: 10.1210/jcem.75.1.1619003. PMID: 1619003.
  75. Wang M, Hercz G, Sherrard DJ, Maloney NA, Segre GV, Pei Y. Relationship between intact 1-84 parathyroid hormone and bone histomorphometric parameters in dialysis patients without aluminum toxicity. Am J Kidney Dis. 1995 Nov;26(5):836-44. doi: 10.1016/0272-6386(95)90453-0. PMID: 7485142.
  76. Brossard JH, Cloutier M, Roy L, Lepage R, Gascon-Barré M, D'Amour P. Accumulation of a non-(1-84) molecular form of parathyroid hormone (PTH) detected by intact PTH assay in renal failure: importance in the interpretation of PTH values. J Clin Endocrinol Metab. 1996 Nov;81(11):3923-9. doi: 10.1210/jcem.81.11.8923839. PMID: 8923839.
  77. Lepage R, Roy L, Brossard JH, Rousseau L, Dorais C, Lazure C, D'Amour P. A non-(1-84) circulating parathyroid hormone (PTH) fragment interferes significantly with intact PTH commercial assay measurements in uremic samples. Clin Chem. 1998 Apr;44(4):805-9. PMID: 9554492.
  78. Langub MC, Monier-Faugere MC, Wang G, Williams JP, Koszewski NJ, Malluche HH. Administration of PTH-(7-84) antagonizes the effects of PTH-(1-84) on bone in rats with moderate renal failure. Endocrinology. 2003 Apr;144(4):1135-8. doi: 10.1210/en.2002-221026. PMID: 12639892.
  79. Souberbielle JC, Boutten A, Carlier MC, Chevenne D, Coumaros G, Lawson-Body E, Massart C, Monge M, Myara J, Parent X, Plouvier E, Houillier P. Inter-method variability in PTH measurement: implication for the care of CKD patients. Kidney Int. 2006 Jul;70(2):345-50. doi: 10.1038/sj.ki.5001606. Epub 2006 Jun 21. PMID: 16788691.
  80. Joly D, Drueke TB, Alberti C, Houillier P, Lawson-Body E, Martin KJ, Massart C, Moe SM, Monge M, Souberbielle JC. Variation in serum and plasma PTH levels in second-generation assays in hemodialysis patients: a cross-sectional study. Am J Kidney Dis. 2008 Jun;51(6):987-95. doi: 10.1053/j.ajkd.2008.01.017. Epub 2008 Apr 8. Erratum in: Am J Kidney Dis. 2008 Jul;52(1):199. PMID: 18430500.
  81. John MR, Goodman WG, Gao P, Cantor TL, Salusky IB, Jüppner H. A novel immunoradiometric assay detects full-length human PTH but not amino-terminally truncated fragments: implications for PTH measurements in renal failure. J Clin Endocrinol Metab. 1999 Nov;84(11):4287-90. doi: 10.1210/jcem.84.11.6236. PMID: 10566687.
  82. Monier-Faugere MC, Geng Z, Mawad H, Friedler RM, Gao P, Cantor TL, Malluche HH. Improved assessment of bone turnover by the PTH-(1-84)/large C-PTH fragments ratio in ESRD patients. Kidney Int. 2001 Oct;60(4):1460-8. doi: 10.1046/j.1523-1755.2001.00949.x. PMID: 11576360.
  83. Coen G, Bonucci E, Ballanti P, Balducci A, Calabria S, Nicolai GA, Fischer MS, Lifrieri F, Manni M, Morosetti M, Moscaritolo E, Sardella D. PTH 1-84 and PTH "7-84" in the noninvasive diagnosis of renal bone disease. Am J Kidney Dis. 2002 Aug;40(2):348-54. doi: 10.1053/ajkd.2002.34519. PMID: 12148108.
  84. Reichel H, Esser A, Roth HJ, Schmidt-Gayk H. Influence of PTH assay methodology on differential diagnosis of renal bone disease. Nephrol Dial Transplant 2003; 18: 759–768.
  85. Salusky IB, Goodman WG, Kuizon BD, Lavigne JR, Zahranik RJ, Gales B, Wang HJ, Elashoff RM, Jüppner H. Similar predictive value of bone turnover using first- and second-generation immunometric PTH assays in pediatric patients treated with peritoneal dialysis. Kidney Int. 2003 May;63(5):1801-8. doi: 10.1046/j.1523-1755.2003.00915.x. PMID: 12675856.
  86. Tepel M, Armbruster FP, Grön HJ, Scholze A, Reichetzeder C, Roth HJ, Hocher B. Nonoxidized, biologically active parathyroid hormone determines mortality in hemodialysis patients. J Clin Endocrinol Metab. 2013 Dec;98(12):4744-51. doi: 10.1210/jc.2013-2139. Epub 2013 Oct 30. PMID: 24171919.
  87. Seiler-Mussler S, Limbach AS, Emrich IE, Pickering JW, Roth HJ, Fliser D, Heine GH. Association of Nonoxidized Parathyroid Hormone with Cardiovascular and Kidney Disease Outcomes in Chronic Kidney Disease. Clin J Am Soc Nephrol. 2018 Apr 6;13(4):569-576. doi: 10.2215/CJN.06620617. Epub 2018 Mar 5. PMID: 29507005; PMCID: PMC5968904.
  88. Vervloet MG, van Ballegooijen AJ. Prevention and treatment of hyperphosphatemia in chronic kidney disease. Kidney Int. 2018 May;93(5):1060-1072. doi: 10.1016/j.kint.2017.11.036. Epub 2018 Mar 23. PMID: 29580635.
  89. Ursem SR, Heijboer AC, D'Haese PC, Behets GJ, Cavalier E, Vervloet MG, Evenepoel P. Non-oxidized parathyroid hormone (PTH) measured by current method is not superior to total PTH in assessing bone turnover in chronic kidney disease. Kidney Int. 2021 May;99(5):1173-1178. doi: 10.1016/j.kint.2020.12.024. Epub 2021 Jan 8. PMID: 33422551.
  90. Drüeke TB, Floege J. Parathyroid hormone oxidation in chronic kidney disease: clinical relevance? Kidney Int. 2021 May;99(5):1070-1072. doi: 10.1016/j.kint.2021.01.019. PMID: 33892858.
  91. Cavalier E, Farré-Segura J, Lukas P, Gendebien AS, Peeters S, Massonnet P, Le Goff C, Bouquegneau A, Souberbielle JC, Delatour V, Delanaye P. Unveiling a new era with liquid chromatography coupled with mass spectrometry to enhance parathyroid hormone measurement in patients with chronic kidney disease. Kidney Int. 2024 Feb;105(2):338-346. doi: 10.1016/j.kint.2023.09.033. Epub 2023 Oct 31. PMID: 37918791.
  92. Ulmer CZ, Kritmetapak K, Singh RJ, Vesper HW, Kumar R. High-Resolution Mass Spectrometry for the Measurement of PTH and PTH Fragments: Insights into PTH Physiology and Bioactivity. J Am Soc Nephrol. 2022 Aug;33(8):1448-1458. doi: 10.1681/ASN.2022010036. Epub 2022 Apr 8. PMID: 35396262; PMCID: PMC9342634.
  93. Nakagawa Y, Komaba H. Standardization of PTH measurement by LC-MS/MS: a promising solution for interassay variability. Kidney Int. 2024 Feb;105(2):244-247. doi: 10.1016/j.kint.2023.11.020. PMID: 38245214.
  94. Drüeke TB, Fukagawa M. Whole or fragmentary information on parathyroid hormone? Clin J Am Soc Nephrol. 2007 Nov;2(6):1106-7. doi: 10.2215/CJN.03140707. Epub 2007 Oct 10. PMID: 17928465.
  95. Amann K. Media calcification and intima calcification are distinct entities in chronic kidney disease. Clin J Am Soc Nephrol. 2008 Nov;3(6):1599-605. doi: 10.2215/CJN.02120508. Epub 2008 Sep 24. PMID: 18815240.
  96. Bellasi A, Raggi P. Techniques and technologies to assess vascular calcification. Semin Dial. 2007 Mar-Apr;20(2):129-33. doi: 10.1111/j.1525-139X.2007.00259.x. PMID: 17374086.
  97. London GM, Guérin AP, Marchais SJ, Métivier F, Pannier B, Adda H. Arterial media calcification in end-stage renal disease: impact on all-cause and cardiovascular mortality. Nephrol Dial Transplant. 2003 Sep;18(9):1731-40. doi: 10.1093/ndt/gfg414. PMID: 12937218.
  98. Rostand SG, Drüeke TB. Parathyroid hormone, vitamin D, and cardiovascular disease in chronic renal failure. Kidney Int. 1999 Aug;56(2):383-92. doi: 10.1046/j.1523-1755.1999.00575.x. PMID: 10432376.
  99. Tsuchihashi K, Takizawa H, Torii T, Ikeda R, Nakahara N, Yuda S, Kobayashi N, Nakata T, Ura N, Shimamoto K. Hypoparathyroidism potentiates cardiovascular complications through disturbed calcium metabolism: possible risk of vitamin D(3) analog administration in dialysis patients with end-stage renal disease. Nephron. 2000 Jan;84(1):13-20. doi: 10.1159/000045533. PMID: 10644903.
  100. Galassi A, Spiegel DM, Bellasi A, Block GA, Raggi P. Accelerated vascular calcification and relative hypoparathyroidism in incident haemodialysis diabetic patients receiving calcium binders. Nephrol Dial Transplant. 2006 Nov;21(11):3215-22. doi: 10.1093/ndt/gfl395. Epub 2006 Jul 28. PMID: 16877490.
  101. Sebastian EM, Suva LJ, Friedman PA. Differential effects of intermittent PTH(1-34) and PTH(7-34) on bone microarchitecture and aortic calcification in experimental renal failure. Bone. 2008 Dec;43(6):1022-30. doi: 10.1016/j.bone.2008.07.250. Epub 2008 Aug 9. PMID: 18761112; PMCID: PMC2644420.
  102. Shao JS, Cheng SL, Charlton-Kachigian N, Loewy AP, Towler DA. Teriparatide (human parathyroid hormone (1-34)) inhibits osteogenic vascular calcification in diabetic low density lipoprotein receptor-deficient mice. J Biol Chem. 2003 Dec 12;278(50):50195-202. doi: 10.1074/jbc.M308825200. Epub 2003 Sep 22. PMID: 14504275.
  103. Canalis E, Giustina A, Bilezikian JP. Mechanisms of anabolic therapies for osteoporosis. N Engl J Med. 2007 Aug 30;357(9):905-16. doi: 10.1056/NEJMra067395. PMID: 17761594.
  104. Drüeke TB, Ritz E. Treatment of secondary hyperparathyroidism in CKD patients with cinacalcet and/or vitamin D derivatives. Clin J Am Soc Nephrol. 2009 Jan;4(1):234-41. doi: 10.2215/CJN.04520908. Epub 2008 Dec 3. PMID: 19056615.
  105. Malluche HH, Mawad H, Monier-Faugere MC. Effects of treatment of renal osteodystrophy on bone histology. Clin J Am Soc Nephrol. 2008 Nov;3 Suppl 3(Suppl 3):S157-63. doi: 10.2215/CJN.02500607. PMID: 18988701; PMCID: PMC3152281.
  106. National Kidney Foundation. K/DOQI clinical practice guidelines for bone metabolism and disease in chronic kidney disease. Am J Kidney Dis. 2003 Oct;42(4 Suppl 3):S1-201. PMID: 14520607.
  107. Kidney Disease: Improving Global Outcomes (KDIGO) CKD-MBD Work Group. KDIGO clinical practice guideline for the diagnosis, evaluation, prevention, and treatment of Chronic Kidney Disease-Mineral and Bone Disorder (CKD-MBD). Kidney Int Suppl. 2009 Aug;(113):S1-130. doi: 10.1038/ki.2009.188. PMID: 19644521.
  108. Ketteler M, Block GA, Evenepoel P, Fukagawa M, Herzog CA, McCann L, Moe SM, Shroff R, Tonelli MA, Toussaint ND, Vervloet MG, Leonard MB. Executive summary of the 2017 KDIGO Chronic Kidney Disease-Mineral and Bone Disorder (CKD-MBD) Guideline Update: what's changed and why it matters. Kidney Int. 2017 Jul;92(1):26-36. doi: 10.1016/j.kint.2017.04.006. Erratum in: Kidney Int. 2017 Dec;92(6):1558. doi: 10.1016/j.kint.2017.10.001. PMID: 28646995.
  109. Ketteler M, Block GA, Evenepoel P, Fukagawa M, Herzog CA, McCann L, Moe SM, Shroff R, Tonelli MA, Toussaint ND, Vervloet MG, Leonard MB. Diagnosis, Evaluation, Prevention, and Treatment of Chronic Kidney Disease-Mineral and Bone Disorder: Synopsis of the Kidney Disease: Improving Global Outcomes 2017 Clinical Practice Guideline Update. Ann Intern Med. 2018 Mar 20;168(6):422-430. doi: 10.7326/M17-2640. Epub 2018 Feb 20. PMID: 29459980.
  110. Ketteler M, Evenepoel P, Holden RM, Isakova T, Jørgensen HS, Komaba H, Nickolas TL, Sinha S, Vervloet MG, Cheung M, King JM, Grams ME, Jadoul M, Moysés RMA; Conference Participants. Chronic kidney disease-mineral and bone disorder: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney Int. 2025 Jan 10:S0085-2538(24)00810-X. doi: 10.1016/j.kint.2024.11.013. Epub ahead of print. PMID: 39864017.
  111. Bhan I, Thadhani R. Vitamin D therapy for chronic kidney disease. Semin Nephrol. 2009 Jan;29(1):85-93. doi: 10.1016/j.semnephrol.2008.10.010. PMID: 19121478.
  112. Kooienga L, Fried L, Scragg R, Kendrick J, Smits G, Chonchol M. The effect of combined calcium and vitamin D3 supplementation on serum intact parathyroid hormone in moderate CKD. Am J Kidney Dis. 2009 Mar;53(3):408-16. doi: 10.1053/j.ajkd.2008.09.020. Epub 2009 Jan 29. PMID: 19185400.
  113. Jean G, Souberbielle JC, Chazot C. Monthly cholecalciferol administration in haemodialysis patients: a simple and efficient strategy for vitamin D supplementation. Nephrol Dial Transplant. 2009 Dec;24(12):3799-805. doi: 10.1093/ndt/gfp370. Epub 2009 Jul 21. PMID: 19622574.
  114. Agarwal R, Georgianos PI. Con: Nutritional vitamin D replacement in chronic kidney disease and end-stage renal disease. Nephrol Dial Transplant. 2016 May;31(5):706-13. doi: 10.1093/ndt/gfw080. Erratum in: Nephrol Dial Transplant. 2021 Feb 20;36(3):566-567. doi: 10.1093/ndt/gfaa172. PMID: 27190392.
  115. Goldsmith DJ. Pro: Should we correct vitamin D deficiency/insufficiency in chronic kidney disease patients with inactive forms of vitamin D or just treat them with active vitamin D forms? Nephrol Dial Transplant. 2016 May;31(5):698-705. doi: 10.1093/ndt/gfw082. PMID: 27190390.
  116. Drüeke TB. Calcimimetics versus vitamin D: what are their relative roles? Blood Purif. 2004;22(1):38-43. doi: 10.1159/000074922. PMID: 14732810.
  117. Hansen D, Rasmussen K, Danielsen H, Meyer-Hofmann H, Bacevicius E, Lauridsen TG, Madsen JK, Tougaard BG, Marckmann P, Thye-Roenn P, Nielsen JE, Kreiner S, Brandi L. No difference between alfacalcidol and paricalcitol in the treatment of secondary hyperparathyroidism in hemodialysis patients: a randomized crossover trial. Kidney Int. 2011 Oct;80(8):841-50. doi: 10.1038/ki.2011.226. Epub 2011 Aug 10. PMID: 21832979.
  118. Teng M, Wolf M, Lowrie E, Ofsthun N, Lazarus JM, Thadhani R. Survival of patients undergoing hemodialysis with paricalcitol or calcitriol therapy. N Engl J Med. 2003 Jul 31;349(5):446-56. doi: 10.1056/NEJMoa022536. PMID: 12890843.
  119. Shoben AB, Rudser KD, de Boer IH, Young B, Kestenbaum B. Association of oral calcitriol with improved survival in nondialyzed CKD. J Am Soc Nephrol. 2008 Aug;19(8):1613-9. doi: 10.1681/ASN.2007111164. Epub 2008 May 7. PMID: 18463168; PMCID: PMC2488261.
  120. Shoji T, Shinohara K, Kimoto E, Emoto M, Tahara H, Koyama H, Inaba M, Fukumoto S, Ishimura E, Miki T, Tabata T, Nishizawa Y. Lower risk for cardiovascular mortality in oral 1alpha-hydroxy vitamin D3 users in a haemodialysis population. Nephrol Dial Transplant. 2004 Jan;19(1):179-84. doi: 10.1093/ndt/gfg513. PMID: 14671054.
  121. Teng M, Wolf M, Ofsthun MN et al. Activated injectable vitamin D and hemodialysis survival: A historical cohort study. J Amer Soc Nephrol 2005; 16: 1115–1125.
  122. Tentori F, Hunt WC, Stidley CA et al. Mortality risk among hemodialysis patients receiv-ing different vitamin D analogs. Kidney Int 2006; 70: 1858–1865.
  123. Tentori F, Albert JM, Young EW, Blayney MJ, Robinson BM, Pisoni RL, Akiba T, Greenwood RN, Kimata N, Levin NW, Piera LM, Saran R, Wolfe RA, Port FK. The survival advantage for haemodialysis patients taking vitamin D is questioned: findings from the Dialysis Outcomes and Practice Patterns Study. Nephrol Dial Transplant. 2009 Mar;24(3):963-72. doi: 10.1093/ndt/gfn592. Epub 2008 Nov 21. PMID: 19028748.
  124. Drüeke TB, McCarron DA. Paricalcitol as compared with calcitriol in patients undergoing hemodialysis. N Engl J Med. 2003 Jul 31;349(5):496-9. doi: 10.1056/NEJMe038104. PMID: 12890849.
  125. Brown EM, Gamba G, Riccardi D, Lombardi M, Butters R, Kifor O, Sun A, Hediger MA, Lytton J, Hebert SC. Cloning and characterization of an extracellular Ca(2+)-sensing receptor from bovine parathyroid. Nature. 1993 Dec 9;366(6455):575-80. doi: 10.1038/366575a0. PMID: 8255296.
  126. Antonsen JE, Sherrard DJ, Andress DL. A calcimimetic agent acutely suppresses parathyroid hormone levels in patients with chronic renal failure. Rapid communication. Kidney Int. 1998 Jan;53(1):223-7. doi: 10.1046/j.1523-1755.1998.00735.x. PMID: 9453023.
  127. Goodman WG, Frazao JM, Goodkin DA, Turner SA, Liu W, Coburn JW. A calcimimetic agent lowers plasma parathyroid hormone levels in patients with secondary hyperparathyroidism. Kidney Int. 2000 Jul;58(1):436-45. doi: 10.1046/j.1523-1755.2000.00183.x. PMID: 10886592.
  128. Goodman WG, Hladik GA, Turner SA, Blaisdell PW, Goodkin DA, Liu W, Barri YM, Cohen RM, Coburn JW. The Calcimimetic agent AMG 073 lowers plasma parathyroid hormone levels in hemodialysis patients with secondary hyperparathyroidism. J Am Soc Nephrol. 2002 Apr;13(4):1017-1024. doi: 10.1681/ASN.V1341017. PMID: 11912261.
  129. Ivanovski O, Nikolov IG, Joki N, Caudrillier A, Phan O, Mentaverri R, Maizel J, Hamada Y, Nguyen-Khoa T, Fukagawa M, Kamel S, Lacour B, Drüeke TB, Massy ZA. The calcimimetic R-568 retards uremia-enhanced vascular calcification and atherosclerosis in apolipoprotein E deficient (apoE-/-) mice. Atherosclerosis. 2009 Jul;205(1):55-62. doi: 10.1016/j.atherosclerosis.2008.10.043. Epub 2008 Nov 18. PMID: 19118829.
  130. Basile C, Lomonte C. The function of the parathyroid oxyphil cells in uremia: still a mystery? Kidney Int. 2017 Nov;92(5):1046-1048. doi: 10.1016/j.kint.2017.06.024. PMID: 29055426.
  131. Lomonte C, Vernaglione L, Chimienti D, Bruno A, Cocola S, Teutonico A, Cazzato F, Basile C. Does vitamin D receptor and calcium receptor activation therapy play a role in the histopathologic alterations of parathyroid glands in refractory uremic hyperparathyroidism? Clin J Am Soc Nephrol. 2008 May;3(3):794-9. doi: 10.2215/CJN.04150907. Epub 2008 Mar 5. PMID: 18322048; PMCID: PMC2386693.
  132. Ritter C, Miller B, Coyne DW, Gupta D, Zheng S, Brown AJ, Slatopolsky E. Paricalcitol and cinacalcet have disparate actions on parathyroid oxyphil cell content in patients with chronic kidney disease. Kidney Int. 2017 Nov;92(5):1217-1222. doi: 10.1016/j.kint.2017.05.003. Epub 2017 Jul 24. PMID: 28750928.
  133. Ritter CS, Haughey BH, Miller B, Brown AJ. Differential gene expression by oxyphil and chief cells of human parathyroid glands. J Clin Endocrinol Metab. 2012 Aug;97(8):E1499-505. doi: 10.1210/jc.2011-3366. Epub 2012 May 14. PMID: 22585091; PMCID: PMC3591682.
  134. Lopez I, Aguilera-Tejero E, Mendoza FJ, Almaden Y, Perez J, Martin D, Rodriguez M. Calcimimetic R-568 decreases extraosseous calcifications in uremic rats treated with calcitriol. J Am Soc Nephrol. 2006 Mar;17(3):795-804. doi: 10.1681/ASN.2005040342. Epub 2006 Feb 8. PMID: 16467452.
  135. Raggi P, Chertow GM, Torres PU, Csiky B, Naso A, Nossuli K, Moustafa M, Goodman WG, Lopez N, Downey G, Dehmel B, Floege J; ADVANCE Study Group. The ADVANCE study: a randomized study to evaluate the effects of cinacalcet plus low-dose vitamin D on vascular calcification in patients on hemodialysis. Nephrol Dial Transplant. 2011 Apr;26(4):1327-39. doi: 10.1093/ndt/gfq725. Epub 2010 Dec 8. PMID: 21148030.
  136. Koleganova N, Piecha G, Ritz E, Schmitt CP, Gross ML. A calcimimetic (R-568), but not calcitriol, prevents vascular remodeling in uremia. Kidney Int. 2009 Jan;75(1):60-71. doi: 10.1038/ki.2008.490. Epub 2008 Oct 1. PMID: 19092814.
  137. Koleganova N, Piecha G, Ritz E, Bekeredjian R, Schirmacher P, Schmitt CP, Gross ML. Interstitial fibrosis and microvascular disease of the heart in uremia: amelioration by a calcimimetic. Lab Invest. 2009 May;89(5):520-30. doi: 10.1038/labinvest.2009.7. Epub 2009 Feb 2. PMID: 19188910.
  138. Lopez I, Mendoza FJ, Aguilera-Tejero E, Perez J, Guerrero F, Martin D, Rodriguez M. The effect of calcitriol, paricalcitol, and a calcimimetic on extraosseous calcifications in uremic rats. Kidney Int. 2008 Feb;73(3):300-7. doi: 10.1038/sj.ki.5002675. Epub 2007 Nov 14. PMID: 18004298.
  139. Block GA, Martin KJ, de Francisco AL, Turner SA, Avram MM, Suranyi MG, Hercz G, Cunningham J, Abu-Alfa AK, Messa P, Coyne DW, Locatelli F, Cohen RM, Evenepoel P, Moe SM, Fournier A, Braun J, McCary LC, Zani VJ, Olson KA, Drüeke TB, Goodman WG. Cinacalcet for secondary hyperparathyroidism in patients receiving hemodialysis. N Engl J Med. 2004 Apr 8;350(15):1516-25. doi: 10.1056/NEJMoa031633. PMID: 15071126.
  140. Lindberg JS, Moe SM, Goodman WG, Coburn JW, Sprague SM, Liu W, Blaisdell PW, Brenner RM, Turner SA, Martin KJ. The calcimimetic AMG 073 reduces parathyroid hormone and calcium x phosphorus in secondary hyperparathyroidism. Kidney Int. 2003 Jan;63(1):248-54. doi: 10.1046/j.1523-1755.2003.00720.x. PMID: 12472790.
  141. Quarles LD, Sherrard DJ, Adler S, Rosansky SJ, McCary LC, Liu W, Turner SA, Bushinsky DA. The calcimimetic AMG 073 as a potential treatment for secondary hyperparathyroidism of end-stage renal disease. J Am Soc Nephrol. 2003 Mar;14(3):575-83. doi: 10.1097/01.asn.0000050224.03126.ad. PMID: 12595492.
  142. Parfrey PS, Chertow GM, Block GA, Correa-Rotter R, Drüeke TB, Floege J, Herzog CA, London GM, Mahaffey KW, Moe SM, Wheeler DC, Dehmel B, Trotman ML, Modafferi DM, Goodman WG. The clinical course of treated hyperparathyroidism among patients receiving hemodialysis and the effect of cinacalcet: the EVOLVE trial. J Clin Endocrinol Metab. 2013 Dec;98(12):4834-44. doi: 10.1210/jc.2013-2975. Epub 2013 Oct 9. PMID: 24108314.
  143. EVOLVE Trial Investigators; Chertow GM, Block GA, Correa-Rotter R, Drüeke TB, Floege J, Goodman WG, Herzog CA, Kubo Y, London GM, Mahaffey KW, Mix TC, Moe SM, Trotman ML, Wheeler DC, Parfrey PS. Effect of cinacalcet on cardiovascular disease in patients undergoing dialysis. N Engl J Med. 2012 Dec 27;367(26):2482-94. doi: 10.1056/NEJMoa1205624. Epub 2012 Nov 3. PMID: 23121374.
  144. Block GA, Zeig S, Sugihara J, Chertow GM, Chi EM, Turner SA, Bushinsky DA; TARGET Investigators. Combined therapy with cinacalcet and low doses of vitamin D sterols in patients with moderate to severe secondary hyperparathyroidism. Nephrol Dial Transplant. 2008 Jul;23(7):2311-8. doi: 10.1093/ndt/gfn026. Epub 2008 Feb 29. PMID: 18310602.
  145. Wilkie M, Pontoriero G, Macário F, Yaqoob M, Bouman K, Braun J, von Albertini B, Brink H, Maduell F, Graf H, Frazão JM, Bos WJ, Torregrosa V, Saha H, Reichel H, Zani VJ, Carter D, Messa P. Impact of vitamin D dose on biochemical parameters in patients with secondary hyperparathyroidism receiving cinacalcet. Nephron Clin Pract. 2009;112(1):c41-50. doi: 10.1159/000212102. Epub 2009 Apr 10. PMID: 19365139.
  146. Block GA, Bushinsky DA, Cunningham J, Drueke TB, Ketteler M, Kewalramani R, Martin KJ, Mix TC, Moe SM, Patel UD, Silver J, Spiegel DM, Sterling L, Walsh L, Chertow GM. Effect of Etelcalcetide vs Placebo on Serum Parathyroid Hormone in Patients Receiving Hemodialysis With Secondary Hyperparathyroidism: Two Randomized Clinical Trials. JAMA. 2017 Jan 10;317(2):146-155. doi: 10.1001/jama.2016.19456. PMID: 28097355.
  147. Block GA, Bushinsky DA, Cheng S, Cunningham J, Dehmel B, Drueke TB, Ketteler M, Kewalramani R, Martin KJ, Moe SM, Patel UD, Silver J, Sun Y, Wang H, Chertow GM. Effect of Etelcalcetide vs Cinacalcet on Serum Parathyroid Hormone in Patients Receiving Hemodialysis With Secondary Hyperparathyroidism: A Randomized Clinical Trial. JAMA. 2017 Jan 10;317(2):156-164. doi: 10.1001/jama.2016.19468. PMID: 28097356.
  148. Moe SM, Abdalla S, Chertow GM, Parfrey PS, Block GA, Correa-Rotter R, Floege J, Herzog CA, London GM, Mahaffey KW, Wheeler DC, Dehmel B, Goodman WG, Drüeke TB; Evaluation of Cinacalcet HCl Therapy to Lower Cardiovascular Events (EVOLVE) Trial Investigators. Effects of Cinacalcet on Fracture Events in Patients Receiving Hemodialysis: The EVOLVE Trial. J Am Soc Nephrol. 2015 Jun;26(6):1466-75. doi: 10.1681/ASN.2014040414. Epub 2014 Dec 11. PMID: 25505257; PMCID: PMC4446874.
  149. Shahapuni I, Mansour J, Harbouche L, Maouad B, Benyahia M, Rahmouni K, Oprisiu R, Bonne JF, Monge M, El Esper N, Presne C, Moriniere P, Choukroun G, Fournier A. How do calcimimetics fit into the management of parathyroid hormone, calcium, and phosphate disturbances in dialysis patients? Semin Dial. 2005 May-Jun;18(3):226-38. doi: 10.1111/j.1525-139X.2005.18318.x. PMID: 15934970.
  150. Cannata Andia JB. Adynamic bone and chronic renal failure: an overview. Am J Med Sci 2000; 320: 81–84.
  151. Argilés A, Kerr PG, Canaud B, Flavier JL, Mion C. Calcium kinetics and the long-term effects of lowering dialysate calcium concentration. Kidney Int. 1993 Mar;43(3):630-40. doi: 10.1038/ki.1993.92. PMID: 8455362.
  152. Arenas MD, Alvarez-Ude F, Gil MT, Soriano A, Egea JJ, Millán I, Amoedo ML, Muray S, Carretón MA. Application of NKF-K/DOQI Clinical Practice Guidelines for Bone Metabolism and Disease: changes of clinical practices and their effects on outcomes and quality standards in three haemodialysis units. Nephrol Dial Transplant. 2006 Jun;21(6):1663-8. doi: 10.1093/ndt/gfl006. Epub 2006 Feb 7. PMID: 16464885.
  153. Basile C, Libutti P, Di Turo AL, Vernaglione L, Casucci F, Losurdo N, Teutonico A, Lomonte C. Effect of dialysate calcium concentrations on parathyroid hormone and calcium balance during a single dialysis session using bicarbonate hemodialysis: a crossover clinical trial. Am J Kidney Dis. 2012 Jan;59(1):92-101. doi: 10.1053/j.ajkd.2011.08.033. Epub 2011 Oct 14. PMID: 22000728.
  154. Sonikian M, Metaxaki P, Karatzas I, Vlassopoulos D. Paricalcitol treatment of secondary hyperparathyroidism in hemodialysis patients on sevelamer hydrochloride: which dialysate calcium concentration to use? Blood Purif. 2009;27(2):182-6. doi: 10.1159/000190785. Epub 2009 Jan 14. PMID: 19141997.
  155. Touam M, Menoyo V, Attaf D, Thebaud HE, Drüeke TB. High dialysate calcium may improve the efficacy of calcimimetic treatment in hemodialysis patients with severe secondary hyperparathyroidism. Kidney Int. 2005 May;67(5):2065; author reply 2065-6. doi: 10.1111/j.1523-1755.2005.310_1.x. PMID: 15840060.
  156. Drüeke TB, Touam M. Calcium balance in haemodialysis--do not lower the dialysate calcium concentration too much (con part). Nephrol Dial Transplant. 2009 Oct;24(10):2990-3. doi: 10.1093/ndt/gfp365. Epub 2009 Aug 7. PMID: 19666667.
  157. Pun PH, Horton JR, Middleton JP. Dialysate calcium concentration and the risk of sudden cardiac arrest in hemodialysis patients. Clin J Am Soc Nephrol. 2013 May;8(5):797-803. doi: 10.2215/CJN.10000912. Epub 2013 Jan 31. PMID: 23371957; PMCID: PMC3641623.
  158. Pun PH, Lehrich RW, Honeycutt EF, Herzog CA, Middleton JP. Modifiable risk factors associated with sudden cardiac arrest within hemodialysis clinics. Kidney Int. 2011 Jan;79(2):218-27. doi: 10.1038/ki.2010.315. Epub 2010 Sep 1. PMID: 20811332.
  159. Cunningham J, Beer J, Coldwell RD, Noonan K, Sawyer N, Makin HL. Dialysate calcium reduction in CAPD patients treated with calcium carbonate and alfacalcidol. Nephrol Dial Transplant. 1992;7(1):63-8. PMID: 1316583.
  160. Chertow GM, Burke SK, Lazarus JM, Stenzel KH, Wombolt D, Goldberg D, Bonventre JV, Slatopolsky E. Poly[allylamine hydrochloride] (RenaGel): a noncalcemic phosphate binder for the treatment of hyperphosphatemia in chronic renal failure. Am J Kidney Dis. 1997 Jan;29(1):66-71. doi: 10.1016/s0272-6386(97)90009-3. PMID: 9002531.
  161. Chertow GM, Burke SK, Raggi P; Treat to Goal Working Group. Sevelamer attenuates the progression of coronary and aortic calcification in hemodialysis patients. Kidney Int. 2002 Jul;62(1):245-52. doi: 10.1046/j.1523-1755.2002.00434.x. PMID: 12081584.
  162. Slatopolsky EA, Burke SK, Dillon MA. RenaGel, a nonabsorbed calcium- and aluminum-free phosphate binder, lowers serum phosphorus and parathyroid hormone. The RenaGel Study Group. Kidney Int. 1999 Jan;55(1):299-307. doi: 10.1046/j.1523-1755.1999.00240.x. PMID: 9893140.
  163. Delmez J, Block G, Robertson J, Chasan-Taber S, Blair A, Dillon M, Bleyer AJ. A randomized, double-blind, crossover design study of sevelamer hydrochloride and sevelamer carbonate in patients on hemodialysis. Clin Nephrol. 2007 Dec;68(6):386-91. doi: 10.5414/cnp68386. PMID: 18184521.
  164. Ketteler M, Rix M, Fan S, Pritchard N, Oestergaard O, Chasan-Taber S, Heaton J, Duggal A, Kalra PA. Efficacy and tolerability of sevelamer carbonate in hyperphosphatemic patients who have chronic kidney disease and are not on dialysis. Clin J Am Soc Nephrol. 2008 Jul;3(4):1125-30. doi: 10.2215/CJN.05161107. Epub 2008 May 1. PMID: 18450923; PMCID: PMC2440270.
  165. D'Haese PC, Spasovski GB, Sikole A, Hutchison A, Freemont TJ, Sulkova S, Swanepoel C, Pejanovic S, Djukanovic L, Balducci A, Coen G, Sulowicz W, Ferreira A, Torres A, Curic S, Popovic M, Dimkovic N, De Broe ME. A multicenter study on the effects of lanthanum carbonate (Fosrenol) and calcium carbonate on renal bone disease in dialysis patients. Kidney Int Suppl. 2003 Jun;(85):S73-8. doi: 10.1046/j.1523-1755.63.s85.18.x. PMID: 12753271.
  166. Hutchison AJ. Oral phosphate binders. Kidney Int. 2009 May;75(9):906-14. doi: 10.1038/ki.2009.60. Epub 2009 Mar 11. PMID: 19279554.
  167. Hutchison AJ, Barnett ME, Krause R, Kwan JT, Siami GA; SPD405-309 Lanthanum Study Group. Long-term efficacy and safety profile of lanthanum carbonate: results for up to 6 years of treatment. Nephron Clin Pract. 2008;110(1):c15-23. doi: 10.1159/000149239. Epub 2008 Jul 31. Erratum in: Nephron Clin Pract. 2008;110(1):c23. PMID: 18667837; PMCID: PMC2790759.
  168. Sprague SM, Ketteler M. A safety evaluation of sucroferric oxyhydroxide for the treatment of hyperphosphatemia. Expert Opin Drug Saf. 2021 Dec;20(12):1463-1472. doi: 10.1080/14740338.2021.1978973. Epub 2021 Oct 22. PMID: 34511018.
  169. Choi YJ, Noh Y, Shin S. Ferric citrate in the management of hyperphosphataemia and iron deficiency anaemia: A meta-analysis in patients with chronic kidney disease. Br J Clin Pharmacol. 2021 Feb;87(2):414-426. doi: 10.1111/bcp.14396. Epub 2020 Jun 17. PMID: 32470149.
  170. Block GA, Raggi P, Bellasi A, Kooienga L, Spiegel DM. Mortality effect of coronary calcification and phosphate binder choice in incident hemodialysis patients. Kidney Int. 2007 Mar;71(5):438-41. doi: 10.1038/sj.ki.5002059. Epub 2007 Jan 3. PMID: 17200680.
  171. Block GA, Wheeler DC, Persky MS, Kestenbaum B, Ketteler M, Spiegel DM, Allison MA, Asplin J, Smits G, Hoofnagle AN, Kooienga L, Thadhani R, Mannstadt M, Wolf M, Chertow GM. Effects of phosphate binders in moderate CKD. J Am Soc Nephrol. 2012 Aug;23(8):1407-15. doi: 10.1681/ASN.2012030223. Epub 2012 Jul 19. PMID: 22822075; PMCID: PMC3402292.
  172. Drüeke TB, Massy ZA. Phosphate binders in CKD: bad news or good news? J Am Soc Nephrol. 2012 Aug;23(8):1277-80. doi: 10.1681/ASN.2012060569. Epub 2012 Jul 12. PMID: 22797178.
  173. Neven E, Dams G, Postnov A, Chen B, De Clerck N, De Broe ME, D'Haese PC, Persy V. Adequate phosphate binding with lanthanum carbonate attenuates arterial calcification in chronic renal failure rats. Nephrol Dial Transplant. 2009 Jun;24(6):1790-9. doi: 10.1093/ndt/gfn737. Epub 2009 Jan 14. PMID: 19144999.
  174. Nikolov IG, Joki N, Nguyen-Khoa T, Guerrera IC, Maizel J, Benchitrit J, Machado dos Reis L, Edelman A, Lacour B, Jorgetti V, Drüeke TB, Massy ZA. Lanthanum carbonate, like sevelamer-HCl, retards the progression of vascular calcification and atherosclerosis in uremic apolipoprotein E-deficient mice. Nephrol Dial Transplant. 2012 Feb;27(2):505-13. doi: 10.1093/ndt/gfr254. Epub 2011 Jun 24. PMID: 21705467.
  175. Toussaint ND, Lau KK, Polkinghorne KR, Kerr PG. Attenuation of aortic calcification with lanthanum carbonate versus calcium-based phosphate binders in haemodialysis: A pilot randomized controlled trial. Nephrology (Carlton). 2011 Mar;16(3):290-8. doi: 10.1111/j.1440-1797.2010.01412.x. PMID: 21342323.
  176. Ohtake T, Kobayashi S, Oka M, Furuya R, Iwagami M, Tsutsumi D, Mochida Y, Maesato K, Ishioka K, Moriya H, Hidaka S. Lanthanum carbonate delays progression of coronary artery calcification compared with calcium-based phosphate binders in patients on hemodialysis: a pilot study. J Cardiovasc Pharmacol Ther. 2013 Sep;18(5):439-46. doi: 10.1177/1074248413486355. Epub 2013 Apr 23. PMID: 23615577.
  177. Seifert ME, de las Fuentes L, Rothstein M, Dietzen DJ, Bierhals AJ, Cheng SC, Ross W, Windus D, Dávila-Román VG, Hruska KA. Effects of phosphate binder therapy on vascular stiffness in early-stage chronic kidney disease. Am J Nephrol. 2013;38(2):158-67. doi: 10.1159/000353569. Epub 2013 Aug 7. PMID: 23941761; PMCID: PMC3874122.
  178. Ferreira A, Frazão JM, Monier-Faugere MC, Gil C, Galvao J, Oliveira C, Baldaia J, Rodrigues I, Santos C, Ribeiro S, Hoenger RM, Duggal A, Malluche HH; Sevelamer Study Group. Effects of sevelamer hydrochloride and calcium carbonate on renal osteodystrophy in hemodialysis patients. J Am Soc Nephrol. 2008 Feb;19(2):405-12. doi: 10.1681/ASN.2006101089. Epub 2008 Jan 16. PMID: 18199805; PMCID: PMC2396748.
  179. Barreto DV, Barreto Fde C, de Carvalho AB, Cuppari L, Draibe SA, Dalboni MA, Moyses RM, Neves KR, Jorgetti V, Miname M, Santos RD, Canziani ME. Phosphate binder impact on bone remodeling and coronary calcification--results from the BRiC study. Nephron Clin Pract. 2008;110(4):c273-83. doi: 10.1159/000170783. Epub 2008 Nov 12. PMID: 19001830.
  180. Lenglet A, Liabeuf S, El Esper N, Brisset S, Mansour J, Lemaire-Hurtel AS, Mary A, Brazier M, Kamel S, Mentaverri R, Choukroun G, Fournier A, Massy ZA. Efficacy and safety of nicotinamide in haemodialysis patients: the NICOREN study. Nephrol Dial Transplant. 2017 May 1;32(5):870-879. doi: 10.1093/ndt/gfw042. PMID: 27190329.
  181. Lenglet A, Liabeuf S, Guffroy P, Fournier A, Brazier M, Massy ZA. Use of nicotinamide to treat hyperphosphatemia in dialysis patients. Drugs R D. 2013 Sep;13(3):165-73. doi: 10.1007/s40268-013-0024-6. PMID: 24000048; PMCID: PMC3784056.
  182. Malhotra R, Katz R, Hoofnagle A, Bostom A, Rifkin DE, Mcbride R, Probstfield J, Block G, Ix JH. The Effect of Extended Release Niacin on Markers of Mineral Metabolism in CKD. Clin J Am Soc Nephrol. 2018 Jan 6;13(1):36-44. doi: 10.2215/CJN.05440517. Epub 2017 Dec 5. PMID: 29208626; PMCID: PMC5753310.
  183. Pergola PE, Rosenbaum DP, Yang Y, Chertow GM. A Randomized Trial of Tenapanor and Phosphate Binders as a Dual-Mechanism Treatment for Hyperphosphatemia in Patients on Maintenance Dialysis (AMPLIFY). J Am Soc Nephrol. 2021 Jun 1;32(6):1465-1473. doi: 10.1681/ASN.2020101398. Epub 2021 Mar 25. PMID: 33766811; PMCID: PMC8259655.
  184. Block GA, Rosenbaum DP, Leonsson-Zachrisson M, Åstrand M, Johansson S, Knutsson M, Langkilde AM, Chertow GM. Effect of Tenapanor on Serum Phosphate in Patients Receiving Hemodialysis. J Am Soc Nephrol. 2017 Jun;28(6):1933-1942. doi: 10.1681/ASN.2016080855. Epub 2017 Feb 3. PMID: 28159782; PMCID: PMC5461797.
  185. Drüeke TB, Massy ZA. Lowering Expectations with Niacin Treatment for CKD-MBD. Clin J Am Soc Nephrol. 2018 Jan 6;13(1):6-8. doi: 10.2215/CJN.12021017. Epub 2017 Dec 5. PMID: 29208625; PMCID: PMC5753325.
  186. D'Alessandro C, Piccoli GB, Cupisti A. The "phosphorus pyramid": a visual tool for dietary phosphate management in dialysis and CKD patients. BMC Nephrol. 2015 Jan 20;16:9. doi: 10.1186/1471-2369-16-9. PMID: 25603926; PMCID: PMC4361095.
  187. Lorenzo V, Martin M, Rufino M et al. Protein intake, control of serum phosphorus, and relatively low levels of parathyroid hormone in elderly hemodialysis patients. Am J Kidney Dis 2001; 37: 1260–1266.
  188. Shinaberger CS, Greenland S, Kopple JD, Van Wyck D, Mehrotra R, Kovesdy CP, Kalantar-Zadeh K. Is controlling phosphorus by decreasing dietary protein intake beneficial or harmful in persons with chronic kidney disease? Am J Clin Nutr. 2008 Dec;88(6):1511-8. doi: 10.3945/ajcn.2008.26665. PMID: 19064510; PMCID: PMC5500249.
  189. Lefebvre A, de Vernejoul MC, Gueris J, Goldfarb B, Graulet AM, Morieux C. Optimal correction of acidosis changes progression of dialysis osteodystrophy. Kidney Int. 1989 Dec;36(6):1112-8. doi: 10.1038/ki.1989.309. PMID: 2557481.
  190. Graham KA, Hoenich NA, Tarbit M, Ward MK, Goodship TH. Correction of acidosis in hemodialysis patients increases the sensitivity of the parathyroid glands to calcium. J Am Soc Nephrol. 1997 Apr;8(4):627-31. doi: 10.1681/ASN.V84627. PMID: 10495792.
  191. Giangrande A, Castiglioni A, Solbiati L, Allaria P. Ultrasound-guided percutaneous fine-needle ethanol injection into parathyroid glands in secondary hyperparathyroidism. Nephrol Dial Transplant. 1992;7(5):412-21. PMID: 1321377.
  192. Kitaoka M, Fukagawa M, Ogata E, Kurokawa K. Reduction of functioning parathyroid cell mass by ethanol injection in chronic dialysis patients. Kidney Int. 1994 Oct;46(4):1110-7. doi: 10.1038/ki.1994.373. PMID: 7861705.
  193. Shiizaki K, Hatamura I, Negi S, Narukawa N, Mizobuchi M, Sakaguchi T, Ooshima A, Akizawa T. Percutaneous maxacalcitol injection therapy regresses hyperplasia of parathyroid and induces apoptosis in uremia. Kidney Int. 2003 Sep;64(3):992-1003. doi: 10.1046/j.1523-1755.2003.00154.x. PMID: 12911549.
  194. Shiizaki K, Negi S, Hatamura I, Sakaguchi T, Saji F, Kunimoto K, Mizobuchi M, Imazeki I, Ooshima A, Akizawa T. Biochemical and cellular effects of direct maxacalcitol injection into parathyroid gland in uremic rats. J Am Soc Nephrol. 2005 Jan;16(1):97-108. doi: 10.1681/ASN.2004030236. Epub 2004 Dec 1. PMID: 15574509.
  195. Fletcher S, Kanagasundaram NS, Rayner HC, Irving HC, Fowler RC, Brownjohn AM, Turney JH, Will EJ, Davison AM. Assessment of ultrasound guided percutaneous ethanol injection and parathyroidectomy in patients with tertiary hyperparathyroidism. Nephrol Dial Transplant. 1998 Dec;13(12):3111-7. doi: 10.1093/ndt/13.12.3111. PMID: 9870475.
  196. de Barros Gueiros JE, Chammas MC, Gerhard R, da Silva Dias Boilesen CF, de Oliveira IR, Moysés RM, Jorgetti V. Percutaneous ethanol (PEIT) and calcitrol (PCIT) injection therapy are ineffective in treating severe secondary hyperparathyroidism. Nephrol Dial Transplant. 2004 Mar;19(3):657-63. doi: 10.1093/ndt/gfg586. PMID: 14767023.
  197. Young EW, Akiba T, Albert JM, McCarthy JT, Kerr PG, Mendelssohn DC, Jadoul M. Magnitude and impact of abnormal mineral metabolism in hemodialysis patients in the Dialysis Outcomes and Practice Patterns Study (DOPPS). Am J Kidney Dis. 2004 Nov;44(5 Suppl 2):34-8. doi: 10.1053/j.ajkd.2004.08.009. PMID: 15486872.
  198. Danese MD, Belozeroff V, Smirnakis K, Rothman KJ. Consistent control of mineral and bone disorder in incident hemodialysis patients. Clin J Am Soc Nephrol. 2008 Sep;3(5):1423-9. doi: 10.2215/CJN.01060308. Epub 2008 Jul 2. PMID: 18596117; PMCID: PMC2518803.
  199. Fouque D, Roth H, Darné B, Jean-Bouchet L, Daugas E, Drüeke TB, Hannedouche T, Jean G, London GM; French Phosphorus and Calcium Observatory. Achievement of Kidney Disease: Improving Global Outcomes mineral and bone targets between 2010 and 2014 in incident dialysis patients in France: the Photo-Graphe3 study. Clin Kidney J. 2018 Feb;11(1):73-79. doi: 10.1093/ckj/sfx101. Epub 2017 Sep 23. PMID: 29423206; PMCID: PMC5798128.
  200. Lau WL, Obi Y, Kalantar-Zadeh K. Parathyroidectomy in the Management of Secondary Hyperparathyroidism. Clin J Am Soc Nephrol. 2018 Jun 7;13(6):952-961. doi: 10.2215/CJN.10390917. Epub 2018 Mar 9. PMID: 29523679; PMCID: PMC5989682.
  201. Hindié E, Urenã P, Jeanguillaume C, Mellière D, Berthelot JM, Menoyo-Calonge V, Chiappini-Briffa D, Janin A, Galle P. Preoperative imaging of parathyroid glands with technetium-99m-labelled sestamibi and iodine-123 subtraction scanning in secondary hyperparathyroidism. Lancet. 1999 Jun 26;353(9171):2200-4. doi: 10.1016/S0140-6736(98)09089-8. PMID: 10392985.
  202. Hindié E, Urenã P, Jeanguillaume C, Mellière D, Berthelot JM, Menoyo-Calonge V, Chiappini-Briffa D, Janin A, Galle P. Preoperative imaging of parathyroid glands with technetium-99m-labelled sestamibi and iodine-123 subtraction scanning in secondary hyperparathyroidism. Lancet. 1999 Jun 26;353(9171):2200-4. doi: 10.1016/S0140-6736(98)09089-8. PMID: 10392985.
  203. Michaud L, Balogova S, Burgess A, Ohnona J, Huchet V, Kerrou K, Lefèvre M, Tassart M, Montravers F, Périé S, Talbot JN. A Pilot Comparison of 18F-fluorocholine PET/CT, Ultrasonography and 123I/99mTc-sestaMIBI Dual-Phase Dual-Isotope Scintigraphy in the Preoperative Localization of Hyperfunctioning Parathyroid Glands in Primary or Secondary Hyperparathyroidism: Influence of Thyroid Anomalies. Medicine (Baltimore). 2015 Oct;94(41):e1701. doi: 10.1097/MD.0000000000001701. PMID: 26469908; PMCID: PMC4616781.
  204. Chen YH, Chen HT, Lee MC, Liu SH, Wang LY, Lue KH, Chan SC. Preoperative F-18 fluorocholine PET/CT for the detection of hyperfunctioning parathyroid glands in patients with secondary or tertiary hyperparathyroidism: comparison with Tc-99m sestamibi scan and neck ultrasound. Ann Nucl Med. 2020 Aug;34(8):527-537. doi: 10.1007/s12149-020-01479-2. Epub 2020 May 20. PMID: 32436180.
  205. Gagné ER, Ureña P, Leite-Silva S, Zingraff J, Chevalier A, Sarfati E, Dubost C, Drüeke TB. Short- and long-term efficacy of total parathyroidectomy with immediate autografting compared with subtotal parathyroidectomy in hemodialysis patients. J Am Soc Nephrol. 1992 Oct;3(4):1008-17. doi: 10.1681/ASN.V341008. PMID: 1450363.
  206. Stracke S, Keller F, Steinbach G, Henne-Bruns D, Wuerl P. Long-term outcome after total parathyroidectomy for the management of secondary hyperparathyroidism. Nephron Clin Pract. 2009;111(2):c102-9. doi: 10.1159/000191200. Epub 2009 Jan 13. PMID: 19142022.
  207. Drüeke TB, Zingraff J. The dilemma of parathyroidectomy in chronic renal failure. Curr Opin Nephrol Hypertens. 1994 Jul;3(4):386-95. doi: 10.1097/00041552-199407000-00004. PMID: 8076142.
  208. Locatelli F, Cannata-Andía JB, Drüeke TB, Hörl WH, Fouque D, Heimburger O, Ritz E. Management of disturbances of calcium and phosphate metabolism in chronic renal insufficiency, with emphasis on the control of hyperphosphataemia. Nephrol Dial Transplant. 2002 May;17(5):723-31. doi: 10.1093/ndt/17.5.723. PMID: 11981055.
  209. Stratton J, Simcock M, Thompson H, Farrington K. Predictors of recurrent hyperparathyroidism after total parathyroidectomy in chronic renal failure. Nephron Clin Pract. 2003;95(1):c15-22. doi: 10.1159/000073014. PMID: 14520017.
  210. Malberti F, Marcelli D, Conte F, Limido A, Spotti D, Locatelli F. Parathyroidectomy in patients on renal replacement therapy: an epidemiologic study. J Am Soc Nephrol. 2001 Jun;12(6):1242-1248. doi: 10.1681/ASN.V1261242. PMID: 11373348.
  211. Kim SM, Long J, Montez-Rath ME, Leonard MB, Norton JA, Chertow GM. Rates and Outcomes of Parathyroidectomy for Secondary Hyperparathyroidism in the United States. Clin J Am Soc Nephrol. 2016 Jul 7;11(7):1260-1267. doi: 10.2215/CJN.10370915. Epub 2016 Jun 6. PMID: 27269300; PMCID: PMC4934842.
  212. Lafrance JP, Cardinal H, Leblanc M, Madore F, Pichette V, Roy L, Le Lorier J. Effect of cinacalcet availability and formulary listing on parathyroidectomy rate trends. BMC Nephrol. 2013 May 3;14:100. doi: 10.1186/1471-2369-14-100. PMID: 23642012; PMCID: PMC3648401.
  213. Tentori F, Wang M, Bieber BA, Karaboyas A, Li Y, Jacobson SH, Andreucci VE, Fukagawa M, Frimat L, Mendelssohn DC, Port FK, Pisoni RL, Robinson BM. Recent changes in therapeutic approaches and association with outcomes among patients with secondary hyperparathyroidism on chronic hemodialysis: the DOPPS study. Clin J Am Soc Nephrol. 2015 Jan 7;10(1):98-109. doi: 10.2215/CJN.12941213. Epub 2014 Dec 16. PMID: 25516917; PMCID: PMC4284424.
  214. Kestenbaum B, Seliger SL, Gillen DL, Wasse H, Young B, Sherrard DJ, Weiss NS, Stehman-Breen CO. Parathyroidectomy rates among United States dialysis patients: 1990-1999. Kidney Int. 2004 Jan;65(1):282-8. doi: 10.1111/j.1523-1755.2004.00368.x. PMID: 14675061.
  215. Kim WW, Rhee Y, Kim BS, Kim K, Lee CR, Kang SW, Lee J, Jeong JJ, Nam KH, Chung WY. Clinical outcomes of parathyroidectomy versus cinacalcet in the clinical management of secondary hyperparathyroidism. Endocr J. 2019 Oct 28;66(10):881-889. doi: 10.1507/endocrj.EJ19-0036. Epub 2019 Jun 12. PMID: 31189770.
  216. Komaba H, Hamano T, Fujii N, Moriwaki K, Wada A, Masakane I, Nitta K, Fukagawa M. Parathyroidectomy vs Cinacalcet Among Patients Undergoing Hemodialysis. J Clin Endocrinol Metab. 2022 Jun 16;107(7):2016-2025. doi: 10.1210/clinem/dgac142. PMID: 35277957.

Adrenocortical Carcinoma

ABSTRACT

 

Adrenocortical carcinoma (ACC) is a rare endocrine malignancy arising from the adrenal cortex often with unexpected biological behavior. It can occur at any age, with two peaks of incidence: in the first and between the fifth and seventh decades of life. Although ACC are mostly hormonally active, precursors and metabolites may also be produced by dedifferentiated and immature malignant cells. Distinguishing the etiology of an adrenal mass between benign adenomas, which are quite frequent in the general population, and malignant carcinomas with dismal prognosis is challenging. However, recent advances in genomic pathology and staging allow the development of standardization of pathology reporting and refinement of prognostic grouping for planning the treatment of patients with ACC. No single histopathological, as well as no single imaging method, hormonal work-up, or immunohistochemical labelling, can definitively prove the diagnosis of ACC. Over several decades great efforts have been made to find novel reliable and available diagnostic and prognostic factors including steroid metabolome profiling or target gene identification. Preliminary data show that for localized ACC, molecular markers (gene expression, methylation, and chromosome alterations) could predict cancer recurrence. Nevertheless, many of these markers need further validation and some are difficult to be widely applied in clinical settings. The development of new prognostic tools highlights the need for early identification of high-risk ACC patients who could benefit from individualized management. ACC is frequently diagnosed in advanced stages and therapeutic options are unfortunately limited. The management of patients with ACC requires a multidisciplinary approach. Surgery remains the “gold standard’ treatment whereas a number of systemic therapies including chemotherapy is administered in patients with extensive not amenable to surgical resection disease. Recently, immunotherapy in advanced ACC has also been investigated in different studies. However, the reported rates of overall response rate and progression-free survival (PFS) were generally poor. Thus, new biological markers that could predict patient prognosis and provide individualized therapeutic options, especially targeted treatments, are required.

 

CLINICAL RECOGNITION

 

Adrenocortical cancer (ACC) is a rare disease with an annual incidence of 0.7-2 cases per million per year and two distinct age distribution peaks, the first occurring in early adulthood and the second between 40-50 years with women being more often affected than men (55-60%) (1,2). Although the great majority of ACCs are sporadic in origin, they can also develop as part of familial syndromes the most common being the Beckwith-Wiedeman syndrome (11p151 gene, IGF-2 overexpression), the Li-Fraumeni syndrome (TP53 gene germline and somatic mutation), the Lynch syndrome (MSH2, MLH1, MSH6, PMS2, EPCAM genes), the multiple endocrine neoplasia (MEN) 1 (MEN1 gene), familial adenomatous polyposis (FAP gene, catenin somatic mutations), neurofibromatosis type 1 (NF1 gene) and Carney complex (PRKAR1A gene) syndromes (Table 1) (1- 5). In recent years several multi-center studies have shed light on the pathogenesis of ACC but ‘multi-omic’ multi-studies have recently revealed that only a minority of ACC cases harbor pathogenic driver mutations

 

Table 1. Clinical and Genetic Features of Familial Syndromes Associated with ACC

Genetic disease

Gene and chromosomal involvement

Organ involvement

Beckwith-Wiedemann syndrome

CDKN1C mutation

KCNQ10T1, H19 (epigenetic defects) 11p15 locus alterations

IGF-2 overexpression

Macrosomia, macroglossia, hemihypertrophy (70%), omphalocele, Wilm’s tumor, ACC (15-

20% adrenocortical tumors)

Li-Fraumeni syndrome P53(17p13)

Soft tissue sarcoma, breast cancer, brain

tumors, leukemia, ACC

Multiple Endocrine Neoplasia syndrome 1

Menin (11q13)

Parathyroid, pituitary, pancreatic, bronchial tumors

Adrenal cortex tumors (30%, rarely ACC)

Familial Adenomatous polyposis

APC (5q12-22)

Multiple adenomatous polyps and cancer colon and rectum

Periampullary cancer, thyroid tumors,

hepatoblastoma, rarely ACC

SBLA syndrome

Sarcoma, breast and lung cancer, ACC

Neurofibromatosis

NF1

Six or more light brown dermatological spots ("café au lait spots

At least two neurofibromas

Carney Complex

PRKAR1A not defined

Lentigines, Atrial Myxoma, and Blue Nevi

 

The clinical features of sporadic ACCs are due to tumor mass effects and spread to surrounding or distant tissues and/or to hormonal hypersecretion. A number of cases (≈ 10-15%) are increasingly diagnosed within the group of incidentally discovered adrenal masses (incidentalomas). However, the likelihood of an adrenal incidentaloma being an ACC is rather low (2, 6, 7). Approximately 50-60% of ACCs exhibit evidence of hormonal hypersecretion, usually that of combined glucocorticoid and androgen secretion (Table 2). Nearly 30-40% of patients with primary ACC present with a mass-related syndrome such as abdominal or dorsal pain, a palpable mass, fever of unknown origin, signs of inferior vena cava (IVC) compression, and signs of left-sided portal hypertension. Rarely, complications such as hemorrhage or tumor rupture may also occur.

 

In biochemical studies, the first step is the measurement of steroid hormones which are initially guided by the clinical presentation. According to the ESMO-EURACAN (European Society for Medical Oncology—the European Reference Network for Rare Adult Solid Cancers) Clinical Practice Guidelines from 2020 in cases of suspected ACC, an extensive steroid hormone work-up is recommended assessing gluco-,mineralo-, sex- and precursor-steroids (6-8). For all adrenal masses, diagnosis of pheochromocytoma should be considered based on clinical presentation and imaging measuring plasma-free or urinary-fractionated metanephrines to avoid intraoperative complications. The European Society of Endocrinology (ESE) and European Network Society of Adrenal Tumors (ENSAT) guidelines on adrenal incidentalomas suggest the measurement of sex steroids and precursors of steroidogenesis using multi-steroid profiling by tandem mass spectrometry in patients in whom based on imaging or clinical features an adrenocortical carcinoma is suspected (9). Urine steroid metabolomics for non-invasive and radiation-free detection of a malignant ‘steroid fingerprint’ in adrenocortical carcinoma patients has been prospectively validated (10).

 

Table 2. Signs and Symptoms of ACC and Recommended Testing for Confirmation of Hypersecretory Syndromes

Symptoms/Signs

Hormonal testing (ENSAT 2005, ESMO-

EURACAN - Clinical Practice Guidelines 2020)

Hypercortisolism

Centripetal fat distribution. Skin thinning – striae.

Muscle wasting – myopathy. Osteoporosis. Increased blood pressure (BP),

Diabetes Mellitus, Psychiatric disturbance, Gonadal dysfunction

Overnight dexamethasone suppression test (1mg)

24-hour free cortisol (urine)

Basal ACTH (plasma)

Basal cortisol (serum)

[for diagnosis minimum 3 out of 4 tests)

Androgen hypersecretion

Hirsutism

Menstrual irregularity – infertility

Virilization (baldness, deepening of the voice, clitoris hypertrophy)

DHEA-S

Androstenedione

Testosterone

17-hyrdoxy-progesterone (17OHPG)

Mineralocorticoid hypersecretion

Increased BP

Hypokalemia

Potassium (serum)

Aldosterone to renin ratio

Estrogen hypersecretion

Gynecomastia (men)

Menorrhagia (post-menopausal women)

17β-estradiol

Non-hypersecretory syndrome

 

 

PATHOPHYSIOLOGY

 

Although studies of hereditary neoplasia syndromes have revealed various chromosomal abnormalities related to ACC development, the precise genetic alterations involved are still unknown. Most common mutations implicated in sporadic ACC are insulin-like growth factor 2 (IGF2), catenin (CTNNB1 or ZNRF3), and TP53 mutations (1, 4, 11). The Wnt/β- catenin constitutive activation and insulin growth factor 2 (IGF2 overexpression) are the most important implicated genetic pathways. Germline TP53 mutations and dysregulation of the Gap 2/mitosis transition and the insulin-like growth factor 1 receptor (IGF1R) signaling have also been described. Steroidogenic factor 1 (SF1) plays an important role in adrenal development and is frequently overexpressed in ACC. Recently, ACC global --omics profiling studies revealed frequent detected genetic and epigenetic alterations, including loss of heterozygosity at 17p13, alterations at the 11p15 locus, and mutations in TP53, CTNNB1, ZNRF34, CDKN2A, RB1, MEN1, PRKAR1A, RPL22, TERF2, CCNE1, and NF1 genes. Decreased expression of MLH1, MSH2, MSH6, and/or PMS2 consistent with high microsatellite instability/mismatch repair protein deficiency (MSI-H/MMR-D) status has also been reported (4, 11).

 

DIAGNOSIS AND DIFFERENTIAL DIAGNOSIS

 

A palpable mass causing abdominal pain in the presence of IVC syndrome is highly suggestive of an ACC. This is substantiated further by the presence of symptoms/signs of combined hormonal secretion (cortisol and androgens), virilizing or rarely feminizing symptoms/signs confirmed with the use of specific endocrine testing (Table 2). As the majority of ACCs are relatively large (size > 8cm, weight >100g) at diagnosis, specific imaging features are used to distinguish them from other adrenal lesions (1, 2, 3). If adrenal imaging indicates an indeterminate mass other parameters should be considered including tumor size > 4 cm, combined cortisol/androgen hormone excess, rapidly developing symptoms and/ rapid tumor growth and/or young age (e.g., < 40 years) at presentation, that all might point to an ACC (1, 2, 3, 5, 7). Other adrenal lesions that need to be considered in the differential diagnosis are myelolipomas, adrenal hemorrhage, lymphoma, adrenal cysts, metastases, and mainly adrenal adenomas, the majority of which have distinctive imaging features. There is no role for biopsy in a patient who is considered suitable for surgery of the adrenal mass (5, 6, 7). Computerized Tomography (CT) imaging of the adrenals is the major tool showing a unilateral nonhomogeneous mass, > 5cm in diameter, with irregular margins, necrosis, and occasionally calcifications. Due to the low-fat content X-Ray density is high (>20 Hounsfield Units, HU); in a series of 51 ACC none had a density of less than 13 Hounsfield Units (HU) (6-8). However, a recent study including almost 100 ACCs showed that increasing the unenhanced CT tumor attenuation threshold to 20 HU from the recommended 10 HU increased specificity for ACC at 80% [95% CI 77.9–82.0] vs. 64% [61.4–66.4] while maintaining sensitivity at 99% [94.4– 100] vs. 100% [96.3–100]; (PPV 19.7%, 16.3–23.5) [EURINE-ACT study] (10). The presence of enlarged aorto-caval lymph nodes, local invasion, or metastatic spread, are highly suggestive of ACC. For 3-6 cm size lesions, measuring CT-related tumoral density before and after contrast administration, and estimating washout percentage can be helpful; less than 50% after 15 minutes, is associated with >90% specificity (7, 8). On Magnetic Resonance Imaging (MRI), ACC appears hypo or isointense in relation to the liver on T1-weighted images and following gadolinium enhancement and chemical shift techniques the diagnostic accuracy obtained can be as high as 85- 100% (7, 8). Recently Positron Emission Tomography (PET) imaging with 18F-fluoro-2deoxy- D-glucose (18FDG-PET) has been proposed as possibly the best second-line test to assess indeterminate masses by unenhanced CT exhibiting 95-100% sensitivity and 91-94% specificity that increases further when fused with CT imaging. Furthermore, 18FDG-PET can also be used as a staging procedure identifying metastatic adrenal disease missed by conventional imaging studies including CT of the chest (7, 8). With the proper implementation of imaging studies there is no need for any adrenal biopsy.

 

HISTOPATHOLOGICAL DIAGNOSIS

 

The expression of steroidogenic factor 1(SF1) is a valid marker to document the adrenal origin (distinction of primary adrenocortical tumors and non-adrenocortical tumors) with a sensitivity of 98% and a specificity of 100%. If this marker is not available, a combination of other markers can be used which should include inhibin-alpha, melan-A, and calretinin. The European Network for the Study of Adrenal Tumors (ENSAT) has shown that KI-67 is the most powerful prognostic marker in both localized and advanced ACC indicative of aggressive behavior and that higher Ki-67 levels are consistently associated with a worse prognosis (2, 6, 12, 13). The Weiss system, based on a combination of nine histological criteria that can be applied on hematoxylin and eosin-stained slides for the distinction of benign and malignant adrenocortical tumors, is the best validated score to distinguish adenomas from ACC although with high inter-observer variability. A reticulin algorithm has been used for the diagnosis of ACC which involves an abnormal/absent reticulin framework and at least one of the three following criteria (tumor necrosis, presence of venous invasion and mitotic rate of >5/50 high power field) (13). Studies have proposed the use of proliferative index (Ki-67 index > 5%) and IGF2 over-expression to confirm the diagnosis of ACC (12, 13). It is important to note that no single microscopic criterion on its own is indicative of malignancy and there is subjective variability in interpretation.

 

PROGNOSIS

 

As survival depends on stage at presentation several different classification histopathological systems have evolved with the reported 5-year survival using the ENSAT system being 82% for stage I, 61% for stage II, 50% for stage III, and 13% for stage IV disease (Table 3) (6-8). Tumor size remains an excellent predictor of malignancy as tumors > 6cm have a 25% chance of being malignant compared to 2% of those with a size < 4cm. As there is no single distinctive histopathological feature indicative of malignancy the Weiss score has been used with a score >3 being suggestive of malignancy and recently Ki-67 labelling index >10%. A relatively new system published by a European group in 2015 is the Helsinki score which relies on mitotic rate, necrosis, and Ki-67 index (3x mitotic count [>5/50 high power fields] + 5x presence of necrosis + Ki-67 proliferative index) of ACC and focus on the predicting diagnosis as well as prognosis of ACC. A Helsinki score >8.5 is associated with metastatic potential and warrants the diagnosis of ACC (13). Altered reticulin pattern, Ki-67% labelling index, and overexpression of p53 protein were found to be useful histopathological markers for distinguishing benign adrenocortical tumors from ACCs; however, only pathological p53 nuclear protein expression was found to reach statistically significant association with poor survival and development of metastases, although in a small series of patients (12).

 

Most recently, the S-GRAS score was calculated as a sum of the following points: tumor stage (1–2 = 0; 3 = 1; 4 = 2), grade (Ki67 index 0–9% = 0; 10–19% = 1; ≥20% = 2 points), resection status (R0 = 0; RX = 1; R1 = 2; R2 = 3), age (<50 years = 0; ≥50 years = 1), symptoms (no = 0; yes = 1), generating four groups of ACC (0–1, 2–3, 4–5, and 6–9). The prognostic performance of S-GRAS was found superior to tumor stage and Ki67 in operated ACC patients, independently from adjuvant mitotane. S-GRAS score provides a new important guide for personalized management of ACC especially regarding. radiological surveillance and adjuvant treatment (14). The COMBI score constitutes an additional predictive score incorporating the DNA-based molecular biomarkers to the S-GRAS including alterations in the Wnt/β- catenin and Rb/p53 pathways and hypermethylation of PAX5 (15).  

 

Table 3. Staging System for ACC Proposed by the International Union against Cancer (WHO 2004) and the European Network for the Study of Adrenal Tumors (ENSAT).

Stage

WHO 2004

ENSAT 2008

I

T1,N0,M0

T1,N0,M0

II

T2,N0,M0

T2,N0,M0

III

T1-2,N1,M0

T3,N0,M0

T1-2,N1,M0

IV

T1-4,N0-1,M1

T3,N1,M0 T4,N0-1,M0

T1-4,N0-1, M1

M0: No distant metastasis, M1: Presence of distant metastasis, N0: No positive lymph nodes, N1: Positive lymph node(s), T1: Tumor ≤5cm, T2: Tumor > 5cm, T3: Tumor infiltration to surrounding tissue, T4: Tumor invasion into adjacent organs or venous tumor thrombus in vena cava or renal vein.

 

The median overall survival (OS) of all ACC patients is about 3-4 years (6, 7). The prognosis is, however, relatively heterogeneous. Complete surgical resection provides the only means of cure (6, 7, 16, 17). In addition to radical surgery, disease stage, proliferative activity/tumor grade, and cortisol excess are independent prognostic parameters (6, 7, 16, 17). The five-year survival rate is 60-80% for tumors confined to the adrenal space, 35-50% for locally advanced disease, and significantly lower in cases of metastatic disease ranging from 0% to 28% (6-8). ENSAT staging is considered slightly superior to the Union for International Cancer Control (UICC) staging. Additionally, the association between hypercortisolism and mortality was consistent. As Ki-67 is related to prognosis in both localized and advanced ACC, threshold levels of 10% and 20% have been considered for discriminating low from high Ki-67 labelling index; however, it is not clear whether any single significant threshold can be determined. Patients with stage I-III disease treated with surgical resection had significantly better median OS (63 vs. 8 months; p= 0.001). In stage IV disease, better median OS occurred in patients treated with surgery (19 vs. 6 months; p=0.001), and post-surgical radiation (29 vs. 10 months; p=0.001) or chemotherapy (22 vs. 13 months; p=0.004) (6-8, 16,17). OS varied with increasing age, higher comorbidity index, grade, and stage of ACC at presentation. There was improved survival with surgical resection of the primary tumor, irrespective of disease stage; post-surgical chemotherapy or radiation was of benefit only in stage IV disease (7, 16). The 5 year-survival of adult patients from multiple datasets with ACC after surgery ranges from 40% to 70%. The estimated five-year OS for patients with ACC in recent cohorts is slightly less than 50% (7, 16). Preliminary data also shows that molecular markers (gene expression, methylation, and chromosome alterations) for localized ACC could predict cancer recurrence (18, 19). Nevertheless, many of these markers need further validation and some are difficult to be widely applied in clinical settings.

 

The development of genomics has led to a new classification of ACC by two independent international cohorts; one from ENSAT network in Europe (18) and the other from the Cancer Genome Atlas consortium in America, Europe and Australia (19), with two distinct molecular subgroups, C1A and C1B being associated with poor (5-year survival rate of 20%) and good overall prognosis (5-year survival rate of 91%), respectively. The C1B group is characterized by a low mutation rate, and a very low incidence of mutations of the main driver genes of ACC whereas the C1A group is characterized by high mutation rate and driver gene alterations. This group is further divided into a subgroup of aggressive tumors showing hypermethylation at the level of the CpG islands located in the promoter of genes (“CIMP phenotype”). The prognostic value of paraffin-embedded tumors’ transcriptome analysis was also confirmed as an independent prognostic factor in a multivariable model including tumor stage and Ki-67. Oncocytic adrenocortical tumors did not form any specific cluster as oncocytic carcinomas and oncocytic tumors of uncertain malignant potential were all in ‘C1B’ (20).

 

THERAPY

 

The management of patients with ACC requires a multidisciplinary approach with initial complete surgical resection in limited volume disease (stages I, II and occasionally III). Mitotane (1,1-dichloro-2(ochlorophenyl)- 2-(p-chlorophenyl) ethane [o,p’DDD]) is the only currently available adrenolytic medication achieving an overall response of approximately 30%.

 

Surgery

 

Surgery aims to achieve a complete margin negative (R0) resection as patients with an R0 resection have a 5-year survival rate of 40-50% compared to the < 1year survival of those with incomplete resection (7, 17). Patients with stage III tumors and positive lymph nodes can have a 10-year OS rate of up to 40% after complete resection. When a preoperative diagnosis or high level of suspicion of ACC exists, open surgical oncological resection is recommended as locoregional lymph removal might improve diagnostic accuracy and therapeutic outcome. However, the wide range of reported lymph node involvement in ACC (ranging from 4 to 73%) implies that regional lymphadenectomy is neither formally performed by all surgeons nor accurately assessed or reported by all pathologists (7, 17). Laparoscopic adrenalectomy should be considered for tumors with size up to 6 cm without any evidence of local invasion and open adrenalectomy for unilateral adrenal masses with radiological findings suspicious of malignancy and signs of local invasion (9). There is no strong evidence that one of the minimally invasive or open adrenalectomy is superior concerning the time to recurrence and/or survival of patients with ACC, provided that rupture of tumor capsule is excluded. Routine locoregional lymphadenectomy should be performed with adrenalectomy for highly suspected or proven ACC and it should include (as a minimum) the peri-adrenal and renal hilum nodes. Preservation of the tumor capsule is essential whereas involvement of the IVC or renal vein with tumor thrombus is not a contraindication for surgery. However, even following a complete surgical resection, 50-80% of patients develop locoregional or metastatic recurrence. Although such patients may be candidates for aggressive surgical resection, routine debulking is not recommended except for the control of hormonal hypersecretion (6, 7, 17). Ablative therapies particularly targeting hepatic disease are used to decrease tumor load and hypersecretory syndromes. Individualized treatment decisions are made in cases of tumors with extension into large vessels based on a multidisciplinary surgical team. Such tumors should not be regarded as ‘unrespectable’ until reviewed in an expert center.

 

Mitotane

 

Mitotane has traditionally been used for ACCs to obtain a partial or complete response in 33% of cases mainly by metabolic transformation within the tumor and through oxidative damage. Besides its cytotoxic adrenal action mitotane also inhibits steroidogenesis. Adjuvant mitotane treatment is proposed in those patients without macroscopic residual tumor after surgery but who have a perceived high risk of recurrence (stage III, KI-67%>10%). However, patients at low/moderate risk of recurrence (stage I-II, R0 resection, and Ki-67 ≤ 10%) do not benefit significantly from adjuvant mitotane (ADIUVO trial) (21). An ongoing study, ADIUVO-2, is investigating the effectiveness of mitotane alone compared to mitotane combined with chemotherapy in high-risk ACC patients.

 

When indicated mitotane should be initiated within six weeks and not later than 3 months post-surgery (7, 17). Adjuvant mitotane should be administrated for at least 2 years, but no longer than 5 years. However, the optimal duration of adjuvant mitotane treatment remains unsolved and mainly depends on personal preferences and expertise. According to a recent study, the present findings do not support the concept that extending adjuvant mitotane treatment over two years is beneficial for patients with ACC at low risk of recurrence (22). The tolerability of mitotane may be limited by its side effects mainly nausea, vomiting, neurological (ataxia, lethargy), hepatic and rarely hematological toxicity (7, 22). Measurement of serum mitotane levels, targeting a range of 14-20 mg/l, seems to correlate with a therapeutic response while minimizing toxicity using variable dosing regimens (6-8). Levels above 20 mg/L are linked to a higher risk of central neurological toxicity, though mild symptoms can also occur at lower concentrations. Interestingly, some evidence suggests that steroid secretion inhibition may still occur at lower mitotane levels than 14mg/l, indicating potential therapeutic benefits even outside the standard therapeutic window (23). Additionally, the Ki-67 index, a widely recognized marker of tumor aggressiveness in ACC, is often used to predict disease’s progression and the potential effectiveness of mitotane therapy. While elevated Ki-67 levels are typically associated with poorer prognosis, they may also suggest a greater likelihood of response to mitotane when therapeutic concentrations are achieved (24).

 

Mitotane causes hyperlipidemia and increased hepatic production of hormone-binding globulins (cortisol, sex hormone, thyroid and vitamin D) increasing total hormone concentration while impairing free hormone bioavailability. The induction of hepatic P450- enzymes by mitotane induces the metabolism of steroid compounds requiring high-dose glucocorticoid and mineralocorticoid replacement. Hormonal excess causes significant morbidity in ACC patients. Although mitotane reduces steroidogenesis it has a slow onset of action necessitating the use of other medications targeting adrenal steroidogenesis (ketoconazole, metyrapone, aminoglutethimide, and etomidate). As adrenal insufficiency may occur close supervision is required to titrate adrenal hormonal replacement therapy.

Mitotane remains the primary treatment for ACC, but resistance, both primary and acquired, limits its efficacy. Primary resistance arises from genetic and epigenetic alterations (e.g., TP53, CTNNB1 mutations, gene hypermethylation), the overexpression of drug efflux pumps (e.g., ABCB1), and disruptions in steroidogenic pathways. Acquired resistance develops during treatment, involving pathways like Wnt/β-catenin, PI3K/AKT/mTOR, and genes such as BCL-2 and TP53. Understanding these mechanisms is essential for developing targeted therapies and improving outcomes (25).

 

Cytotoxic Chemotherapy

 

In metastatic ACC or when progression on mitotane, systematic therapy is recommended. Although cisplatin-containing regimens have shown some responses, most studies lack enough power and comparisons between different regimens are only a few. The most encouraging results originate from the combinations of etoposide, doxorubicin, and cisplatin with mitotane (EDP-M) achieving an overall response of 49% of 18 months duration (FIRMA-CT study) (26). This regimen was equally effective as first-line treatment or after failing of the combination of streptozotocin with mitotane and is currently the preferred scheme. In patients who progress under mitotane monotherapy, EDP treatment is also recommended (7, 26). The combination of gemcitabine with capecitabine is used for patients failing EDP- and for non-responding patients. Targeted therapies with tyrosine kinase inhibitors have been also suggested. In a single-arm, phase 2 trial including 18 patients with advanced ACC treated with monotherapy with cabozantinib, the median progression-free survival (PFS) was 6 months, whereas 72·2% of patients were PFS at 4 months (27). Although initially promising, treatment with IGF-1R antagonists did not prove to be efficacious, suggesting that combination therapies may be the way forward (see below).

 

Radiation Therapy

 

Radiotherapy has a role in symptomatic metastatic disease, particularly bone disease with positive responses in up to 50% - 90% of cancer patients. It is a local therapy which is mainly recommended in incomplete resection, recurrent, or metastatic disease. Postoperative adjuvant radiotherapy significantly improved overall survival (OS) and PFS compared with the use of surgery alone in resected localized ACC patients especially those with stage I/II (median Ki-67%=20). However, this finding was mainly in retrospective studies (28).

 

Immunotherapy

 

Several Immunotherapy agents have been evaluated in clinical trials for metastatic ACC patients including the immune checkpoint inhibitors (ICIs) pembrolizumab, nivolumab, and avelumab which are monoclonal antibodies directed toward PD-L1, the ligand-binding partner of PD-1, that is expressed on tumor cells. Four ICIs (pembrolizumab, avelumab, nivolumab, and ipilimumab) have investigated the role of immunotherapy in advanced ACC. Despite the different primary endpoints used in these studies, the reported rates of overall response rate and PFS were generally poor (Table 4) (29-32). Three main potential markers of response to immunotherapy in ACC have been described: Expression of PD-1 and PD-L1, microsatellite instability, and tumor mutational burden (29). PD-1 and PD-L1 are expressed in 26.5% and 24.7% of ACC samples, respectively, with low expression in most tumor samples. In contrast, CTLA-4 expression is observed in 52.5% of ACC samples. Positive PD-1 expression was associated with longer PFS even after considering prognostic factors. In contrast, PD-L1 and CTLA-4 did not correlate with clinical outcomes. Additionally, PD-1 and PD-L1 expression correlated significantly with the amount of CD3+, CD4+, FoxP3+, and CD8+ T cells (33). However, none of these parameters have been validated in prospective studies. Several mechanisms may be responsible for immunotherapy failure, and a greater knowledge of these mechanisms might lead to the development of new strategies to overcome immunotherapy resistance.

 

Two clinical trials using the PD-1 inhibitor pembrolizumab as monotherapy in ACC have been reported (29, 30). The observed median PFS and OS in the first study were 2.1 and 24.9 months, respectively. Six patients in the study had microsatellite-high and/or mismatch repair deficient status (MSI-H/MMR-D), for which pembrolizumab is an FDA-approved therapy. In the second study, 5 of 14 patients (36%), developed stable disease (SD) at 27 weeks and 2 exhibited a partial response. Nivolumab monotherapy was tested in a phase II trial (31). The best response observed in this trial was 1 out of 10 patients with an unconfirmed partial response and 2 out of 10 patients developing SD (31). Avelumab has been evaluated in a phase 1b clinical trial in patients with metastatic ACC who had progressed after first-line platinum-based therapy (32). In this trial, including 50 patients, 3 patients showed a partial response, and 21 (42%) patients had SD (42%). Median PFS and OS were 2.6 and 10.6 months, respectively. Although no head-to-head study exists to compare ICIs efficacy, a retrospective study of 54 patients with advanced ACC analyzed the treatment response in different ICIs, demonstrating that after adjustment for concomitant mitotane use, treatment with nivolumab was associated with a lower risk of progression and death compared to pembrolizumab (34).

 

Table 4. Studies that have Investigated Immunotherapy in Patients with ACC

Molecule

Phase

Population(n)

Prior systemic treatment

Results

Pembrolizomab 200 mg every 3

w (35 cycles)

39

28

PFS=2.1,OS=24.9 ORR (RECIST)=23%

Pembrolizomab 200 mg every 3

w (35 cycles)

II

16

16

SD at 27 w=36%, ORR(RECIST)=14%

Nivolumab       240 mg every 2 w

II

10

10

PFS=1.8, ORR=11%

Avelumab 10 mg/kg every 2 w (±mitotane)

Ib

50

50

PFS=2.6, OS=10.6, ORR=6%

Ipilimumab 1 mg/kg intravenously every 6 weeks with nivolumab 240 mg intravenously every 2 weeks

II

21

21

6-month OS = 76%; the median OS= 15.8 months, ORR=14%

Camrelizumab combined with apatinib

II

21

21

ORR=52%, median PFS=3.3 months, median OS=20.9 months

ORR= objective response rates; PFS= progression-free survival; SD= stable disease; OS= overall survival

 

Combination therapies with these agents are also evolving either with two different ICIs, most frequently ipilimumab and nivolumab or a combination of ICIs with a different targeted molecule and especially a tyrosine kinase inhibitor (TKI) (35,36). Pembrolizumab along with the VEGF-targeted multi-kinase inhibitor lenvatinib was used in a small retrospective case series including 8 heavily pre-treated patients (the median number of prior lines of systemic therapy was 4) with progressive or metastatic ACC (37). The median PFS in these patients was 5.5 months (95% CI 1.8–not reached). Two (25%) patients showed a partial response (PR), one (12.5%) patient had stable disease (SD), and five (62.5%) patients developed progressive disease. Other immunotherapies that have been evaluated include the monoclonal antibodies figitumumab and cixutumumab directed against the ACC-expressed insulin-like growth factor 1 (IGF-1) receptor, the recombinant cytotoxin interleukin-13-pseudomonas exotoxin A, and autologous tumor lysate dendritic cell vaccine (38, 39). All of these agents have shown modest clinical activity. Figitumumab in particular was evaluated in a phase I trial. in 14 patients with metastatic ACC. The best response to treatment observed in this trial was SD seen in 8 of 14 patients. Toxicities were generally mild and included hyperglycemia, nausea, fatigue, and anorexia. Similarly, to figitumumab, cixutumumab (IMC-A12) was evaluated in combination with mitotane in a phase II trial as first-line therapy for patients with advanced or metastatic ACC (39). The study was terminated early due to slow accrual and limited efficacy. The recorded PFS was only 6 weeks (range: 2.66–48), and in 20 evaluable patients, the best objective response rates (ORR) were a partial response (PR) in one patient and SD in a further seven. Toxicities observed included grade 4 hyperglycemia and hyponatremia and one grade 5 multiorgan failure.

 

Immune-Modulators

 

The potential utility of thalidomide treatment in ACC was evaluated in a retrospective cohort study of the European Networks for the Study of Adrenal Tumors registry (40). In this study, 27 patients with progression on mitotane or metastatic ACC were treated with 50–200 mg thalidomide daily. The best response noted was SD in two patients, while the remaining 25 patients had progressive disease. The median PFS was 11.2 weeks, with a median OS of 36.4 weeks. Thalidomide was generally well tolerated, with fatigue and gastrointestinal upset being the most commonly observed side effects.

 

Evolving Therapies

 

Active areas of research in this field include combinations of ICIs, combination TKIs and ICIs, cancer vaccines, and glucocorticoid receptor antagonists combined with ICIs therapies (http://www.clinicaltrials.gov). Targeting mTOR pathway alone with everolimus did not produce significant responses. An extended phase I study of the anti-IGF-1R monoclonal antibody cixutumumab with an mTOR inhibitor showed a partial but short-lived response. Combination treatments such as cabozantinib with atezolizumab in a basket study (CABATEN) or SPENCER study (EO – a novel microbiome-derived therapeutic vaccine with nivolumab) in MSI/PD-L1 negative and low tumor mutational burden tumors have shown a relative response in a subgroup of ACC patients. Other potential targets are antagonists of β-catenin and Wnt signaling pathway and SF-1 inverse agonists. The application of radionuclide therapy using 131I-metomidate has recently been explored. However, despite recent advances in dysregulated molecular pathways in ACCs, these findings have not yet been translated into meaningful clinical benefits.

 

FOLLOW-UP

 

Patients who have undergone a curative resection should be followed up regularly using endocrine markers and abdominal imaging. After complete resection, radiological imaging every 3 months for 2 years and then every 3-6 months for a further 3 years is proposed. However, imaging follow-up beyond 5 years should be adapted in particular cases and be decided by a multidisciplinary team (7). 18FDG-PET should be performed at regular intervals to detect recurrent disease in high-risk patients. Patients on mitotane therapy should be regularly monitored measuring serum mitotane levels ensuring adequate replacement therapy. In case of recurrence not amenable to surgical excision patients should be enrolled in prospective clinical trials.

 

CONCLUSION

 

Besides considerable accumulated knowledge on genetic profiling, the pathogenesis of ACC is still not delineated although groups of patients with a worse outcome could be identified. Stage of the disease remains a strong predictor of OS whereas new evolving biomarkers need to be further validated. Imaging with 18FDGPET is an integral part of the staging procedure but the available medical therapies for patients with advanced disease have not shown a major impact on patients' prognosis. ACC remains a challenging malignancy with limited effective treatment options. Targeted therapies and immunotherapies, especially in combination regimens, are the subject of continued research. The evolving genomic landscape emphasizes the significance of targeted therapies and the need for further research to identify high-risk patients and formulate efficacious therapies for patients with advanced diseases.

 

REFERENCE

 

  1. Petr EJ & Else T. Genetic predisposition to endocrine tumors: Diagnosis, surveillance and challenges in care. Semin Oncol 2016 43 582-590
  2. Kassi E, Angelousi A, Zografos G, Kaltsas G, Chrousos GP. Current Issues in the Diagnosis and Management of Adrenocortical Carcinomas. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A, editors. Endotext [Internet]. South Dartmouth (MA): MDText.com, Inc.; 2000-2016 Mar 6.PMID: 25905240 Health Organization (WHO) of Endocrine Tumours. Endocr. Pathol. 2017 28 213–227.
  3. Raymond VM, Everett JN, Furtado LV, Gustafson SL, Jungbluth CR, Gruber SB, Hammer GD, Stoffel EM, Greenson JK, Giordano TJ, et al. Adrenocortical carcinoma is a lynch syndrome-associated cancer. J. Clin. Oncol. Off. J. Am. Soc. Clin. Oncol. 2013 31 3012–3018.
  4. Chatzellis E, Kaltsas G. Adrenal Incidentalomas. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A, editors. Endotext [Internet]. South Dartmouth (MA): DText.com, Inc.; 2000-2016 Feb 5.PMID: 25905250.
  5. Fassnacht M, Kroiss M, Allolio B. Update in adrenocortical carcinoma. J Clin Endocrinol Metab 2013 98 4551- 4564.
  6. Fassnacht M, Dekkers O, Else T, Baudin E, Berruti A, de Krijger RR, Haak HR, Mihai R, Assie G, Terzolo M. European Society of Endocrinology Clinical Practice Guidelines on the Management of Adrenocortical Carcinoma in Adults, in collaboration with the European Network for the Study of Adrenal Tumors. Eur J Endocrinol. 2018 179 1-46.
  7. Berruti A, Baudin E, Gelderblom H, Haak HR, Porpiglia F, Fassnacht M & Pentheroudakis G. Adrenal cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Annals of Oncology 2012 23 131-138.
  8. Fassnacht M, Tsagarakis S, Terzolo M, Tabarin A, Sahdev A, Newell-Price J, Pelsma I, Marina L, Lorenz K, Bancos I, Arlt W, Dekkers OM. European Society of Endocrinology clinical practice guidelines on the management of adrenal incidentalomas, in collaboration with the European Network for the Study of Adrenal Tumors. Eur J Endocrinol. 2023 20 189 1-42.
  9. Bancos I, Taylor AE, Chortis V, Sitch AJ, Jenkinson C, Davidge-Pitts CJ, Lang K, Tsagarakis S, Macech M, Riester A,Deutschbein T, Pupovac ID, Kienitz T, Prete A, Papathomas TG,Gilligan LC, Bancos C, Reimondo G, Haissaguerre M, Marina L, Grytaas MA, Sajwani A, Langton K, Ivison HE, Shackleton CHL, Erickson D, Asia M, Palimeri S, Kondracka A, Spyroglou A, Ronchi CL, Simunov B, Delivanis DA, Sutcliffe RP, Tsirou I, Bednarczuk T, Reincke M, Burger-Stritt S, Feelders RA, Canu L, Haak HR, Eisenhofer G, Dennedy MC, Ueland GA, Ivovic M, Tabarin A, Terzolo M, Quinkler M, Kastelan D, Fassnacht M, Beuschlein F, Ambroziak U, Vassiliadi DA, O'Reilly MW, Young WF Jr, Biehl M, Deeks JJ, Arlt W; ENSAT EURINE-ACT Investigators. Urine steroid metabolomics for the differential diagnosis of adrenal incidentalomas in the EURINE-ACT study: a prospective test validation study. Lancet Diabetes Endocrinol. 2020 8 773-781. doi: 10.1016/S2213-8587(20)30218-7. Epub 2020 Jul 23.
  10. Pegna GJ, Roper N, Kaplan RN, Bergsland E, Kiseljak-Vassiliades K, Habra MA, Pommier Y, Del Rivero J. The Immunotherapy Landscape in Adrenocortical Cancer. Cancers (Basel). 2021 13 2660. doi: 10.3390/cancers13112660
  11. Angelousi A, Kyriakopoulos G, Athanasouli F, Dimitriadi A, Kassi E, Aggeli C, ZografosG, Kaltsas G. The Role of Immunohistochemical Markers for the Diagnosis and Prognosis of Adrenocortical Neoplasms. J Pers Med. 2021 11 208. doi: 10.3390/jpm11030208
  12. Duregon, E.; Fassina, A.; Volante, M.; Nesi, G.; Santi, R.; Gatti, G.; Cappellesso, R.; Ciaramella, P.D.; Ventura, L.; Gambacorta, M.; et al. The Reticulin Algorithm for Adrenocortical Tumor Diagnosis: A multicentric validation study on 245 unpublished cases. Am. J. Surg. Pathol. 2013 37 1433–1441.
  13. Elhassan Y, Altieri B, Berhane S, Cosentini D, Calabrese A, Haissaguerre M, Kastelan D, Fragoso MC, Bertherat J, Baudin E, et al. Modified GRAS Score for Prognostic Classification of Adrenocortical Carcinoma: An ENSAT Multicentre Study. J. Endocr. Soc. 2021 5 165–166.
  14. Lippert J, Dischinger U, Appenzeller S, Prete A, Kircher S, Skordilis K, Elhassan YS, Altieri B, Fassnacht M, Ronchi CL. Performance of DNA-based biomarkers for classification of adrenocortical carcinoma: a prognostic study. Eur J Endocrinol. 2023 2 189 262-270.
  15. Tella SH, Kommalapati A, Yaturu S, Kebebew E.Predictors of survival in Adrenocortical Carcinoma: An analysis from the National Cancer Database (NCDB). J Clin Endocrinol Metab. 2018 103 3566-3573.
  16. Tacon L, Prichard R, Soon PSH, et al Current and emerging therapies for advanced adrenocortical carcinoma. The Oncologist 2011 16 36-48.
  17. Zheng S, Cherniack AD, Dewal N, Moffitt RA, Danilova L, Murray BA, Lerario AM, Else T, Knijnenburg TA, Ciriello G, Kim S, Assie G, Morozova O, Akbani R, Shih J, Hoadley KA, Choueiri TK, Waldmann J, Mete O, Robertson AG, Wu HT, Raphael BJ, Shao L, Meyerson M, Demeure MJ, Beuschlein F, Gill AJ, Sidhu SB, Almeida MQ, Fragoso MCBV, Cope LM, Kebebew E, Habra MA, Whitsett TG, Bussey KJ, Rainey WE, Asa SL, Bertherat J, Fassnacht M, Wheeler DA; Cancer Genome Atlas Research Network, Hammer GD, Giordano TJ, Verhaak RGW. Comprehensive Pan-Genomic Characterization of Adrenocortical Carcinoma. Cancer Cell. 2016 30 363. doi: 10.1016/j.ccell.2016.07.013.
  18. Assié G, Letouzé E, Fassnacht M, Jouinot A, Luscap W,Barreau O, Omeiri H, Rodriguez S, Perlemoine K, René-Corail F, Elarouci N, Sbiera S, Kroiss M, Allolio B, Waldmann J, Quinkler M, Mannelli M, Mantero F, Papathomas T, De Krijger R, Tabarin A, Kerlan V, Baudin E, Tissier F, Dousset B, Groussin L, Amar L, Clauser E, Bertagna X, Ragazzon B, Beuschlein F, Libé R, de Reyniès A, Bertherat J. Integrated genomic characterization of adrenocortical carcinoma. Nat Genet. 2014 46 607-612. doi: 10.1038/ng.2953.
  19. Jouinot A, Lippert J, Sibony M, Violon F, Jeanpierre L, De Murat D, Armignacco R, Septier A, Perlemoine K, Letourneur F, Izac B, Ragazzon B, Leroy K, Pasmant E, North MO, Gaujoux S, Dousset B, Groussin L, Libe R, Terris B, Fassnacht M, Ronchi CL, Bertherat J, Assie G. Transcriptome in paraffin samples for the diagnosis and prognosis of adrenocortical carcinoma. Eur J Endocrinol. 202221 186 607-617.
  20. Massimo Terzolo, MD, Martin Fassnacht, MD, Paola Perotti, PhD, Rossella Libe, MD, André Lacroix, MD, Darko Kastelan, MD, PhD, Harm Reinout Haak, MD,PhD, Wiebke Arlt, MD, Paola Loli, MD, Bénédicte Decoudier, MD, Helene Lasolle, MD, Irina Bancos, MD, Marcus Quinkler, MD, Maria Candida Barisson Villares Fragoso, PhD,MD, Letizia Canu, MD, PhD, Soraya Puglisi, MD, Matthias Kroiss, MD, Tina Dusek, MD, Isabelle Bourdeau, MD, Eric Baudin, MD, Paola Berchialla, PhD, Felix Beuschlein, MD, Jerome Yves Bertherat, MD,PhD, Alfredo Berruti, MD. Results of the ADIUVO Study, the First Randomized Trial on Adjuvant Mitotane in Adrenocortical Carcinoma Patients, Journal of the Endocrine Society, Volume 5, Issue Supplement_1, April-May 2021, Pages A166–A167
  21. Basile V, Puglisi S, Altieri B, Canu L, Libè R, Ceccato F, Beuschlein F, Quinkler M, Calabrese A, Perotti P, Berchialla P, Dischinger U, Megerle F, Baudin E, Bourdeau I, Lacroix A, Loli P, Berruti A, Kastelan D, Haak HR, Fassnacht M, Terzolo M. What Is the Optimal Duration of Adjuvant Mitotane Therapy in Adrenocortical Carcinoma? An Unanswered Question. J Pers Med. 2021 11 269. doi: 10.3390/jpm11040269.
  22. Ehrlich MI, Labadie BW, Bates SE, Fojo T. Mitotane and the myth of 14 mg/L. Lancet Oncol. 2024 Jan;25(1):12-15. 
  23. Beuschlein F, Weigel J, Saeger W, Kroiss M, Wild V, Daffara F, Libé R, Ardito A, Al Ghuzlan A, Quinkler M, Oßwald A, Ronchi CL, de Krijger R, Feelders RA, Waldmann J, Willenberg HS, Deutschbein T, Stell A, Reincke M, Papotti M, Baudin E, Tissier F, Haak HR, Loli P, Terzolo M, Allolio B, Müller HH, Fassnacht M. Major prognostic role of Ki67 in localized adrenocortical carcinoma after complete resection. J Clin Endocrinol Metab. 2015 100 841-849.
  24. Flauto F, De Martino MC, Vitiello C, Pivonello R, Colao A, Damiano V. A Review on Mitotane: A Target Therapy in Adrenocortical Carcinoma. Cancers (Basel). 2024 4 16 4061
  25. Fassnacht M, Terzolo M, Allolio B, Baudin E, Haak H, Berruti A, Welin S, Schade Brittinger C, Lacroix A, Jarzab B, Sorbye H, Torpy DJ, Stepan V, Schteingart DE, Arlt W, Kroiss M, Leboulleux S, Sperone P, Sundin A, Hermsen I, Hahner S, Willenberg HS, Tabarin A, Quinkler M, de la Fouchardière C, Schlumberger M, Mantero F, Weismann D, Beuschlein F, Gelderblom H, Wilmink H, Sender M, Edgerly M, Kenn W, Fojo T, Müller HH, Skogseid B; FIRM-ACT Study Group. Combination chemotherapy in advanced adrenocortical carcinoma. N Engl J Med. 2012 366 2189-2197.
  26. Campbell MT, Balderrama-Brondani V, Jimenez C, Tamsen G, Marcal LP, Varghese J, Shah AY, Long JP, Zhang M, Ochieng J, Haymaker C, Habra MA. Cabozantinib monotherapy for advanced adrenocortical carcinoma: a single-arm, phase 2 trial. Lancet Oncol. 2024 25 649-657. 
  27. Wu L, Chen J, Su T, Jiang L, Han Y, Zhang C, Zhou W, Jiang Y, Zhong X, Wang W. Efficacy and safety of adjuvant radiation therapy in localized adrenocortical carcinoma. Front Endocrinol (Lausanne). 2024 8 14 1308231. 
  28. Raj N, Zheng Y, Kelly V, Katz SS, Chou J, Do RKG, Capanu M, Zamarin D, Saltz LB, Ariyan CE, Untch BR, O'Reilly EM, Gopalan A, Berger MF, Olino K, Segal NH, Reidy-Lagunes DL. PD-1 Blockade in Advanced Adrenocortical Carcinoma. J Clin Oncol. 2020 38 71-80.
  29. Habra MA, Stephen B, Campbell M, Hess K, Tapia C, Xu M, Rodon Ahnert J, Jimenez C, Lee JE, Perrier ND, Boraddus RR, Pant S, Subbiah V, Hong DS, Zarifa A, Fu S, Karp DD, Meric-Bernstam F, Naing A. Phase II clinical trial of pembrolizumab efficacy and safety in advanced adrenocortical carcinoma. J Immunother Cancer. 2019 7 253.
  30. Carneiro BA, Konda B, Costa RB, Costa RLB, Sagar V, Gursel DB, Kirschner LS, Chae YK, Abdulkadir SA, Rademaker A, Mahalingam D, Shah MH, Giles FJ. Nivolumab in Metastatic Adrenocortical Carcinoma: Results of a Phase 2 Trial. J Clin Endocrinol Metab. 2019 104 6193-6200.
  31. Le Tourneau C, Hoimes C, Zarwan C, Wong DJ, Bauer S, Claus R, Wermke M, Hariharan S, von Heydebreck A, Kasturi V, Chand V, Gulley JL. Avelumab in patients with previously treated metastatic adrenocortical carcinoma: phase 1b results from the JAVELIN solid tumor trial. J Immunother Cancer. 2018 6 111.
  32. Landwehr LS, Altieri B, Sbiera I, Remde H, Kircher S, Olabe J, Sbiera S, Kroiss M, Fassnacht M. Expression and Prognostic Relevance of PD-1, PD-L1, and CTLA-4 Immune Checkpoints in Adrenocortical Carcinoma. J Clin Endocrinol Metab. 2024 13;109 2325-2334.
  33. Remde H, Schmidt-Pennington L, Reuter M, Landwehr LS, Jensen M, Lahner H, Kimpel O, Altieri B, Laubner K, Schreiner J, Bojunga J, Kircher S, Kunze CA, Pohrt A, Teleanu MV, Hübschmann D, Stenzinger A, Glimm H, Fröhling S, Fassnacht M, Mai K, Kroiss M. Outcome of immunotherapy in adrenocortical carcinoma: a retrospective cohort study. Eur J Endocrinol. 2023 7188 485-493.
  34. Zhu YC, Wei ZG, Wang JJ, Pei YY, Jin J, Li D, Li ZH, Liu ZR, Min Y, Li RD, Yang L, Liu JY, Wei Q, Peng XC. Camrelizumab plus apatinib for previously treated advanced adrenocortical carcinoma: a single-arm phase 2 trial. Nat Commun. 2024 29 15 10371.
  35. Patel SP, Othus M, Chae YK, Huynh T, Tan B, Kuzel T, McLeod C, Lopez G, Chen HX, Sharon E, Streicher H, Ryan CW, Blanke C, Kurzrock R. Phase II basket trial of Dual Anti-CTLA-4 and Anti-PD-1 blockade in Rare Tumors (DART) SWOG S1609: adrenocortical carcinoma cohort. J Immunother Cancer. 2024 27 12 009074.
  36. Bedrose S, Miller KC, Altameemi L, Ali MS, Nassar S, Garg N, Daher M, Eaton KD, Yorio JT, Daniel DB, Campbell M, Bible KC, Ryder M, Chintakuntlawar AV, Habra MA. Combined lenvatinib and pembrolizumab as salvage therapy in advanced adrenal cortical carcinoma. J Immunother Cancer. 2020 8 e001009.
  37. Haluska P, Worden F, Olmos D, Yin D, Schteingart D, Batzel GN, Paccagnella ML, de Bono JS, Gualberto A, Hammer GD. Safety, tolerability, and pharmacokinetics of the anti-IGF-1R monoclonal antibody figitumumab in patients with refractory adrenocortical carcinoma. Cancer Chemother Pharmacol. 2010 65 765-73.
  38. Lerario AM, Worden FP, Ramm CA, Hesseltine EA, Stadler WM, Else T, Shah MH, Agamah E, Rao K, Hammer GD. The combination of insulin-like growth factor receptor 1 (IGF1R) antibody cixutumumab and mitotane as a first-line therapy for patients with recurrent/metastatic adrenocortical carcinoma: a multi-institutional NCI-sponsored trial. Horm Cancer. 2014 5 232-239.
  39. Kroiss M, Deutschbein T, Schlötelburg W, Ronchi CL, Hescot S, Körbl D, Megerle F, Beuschlein F, Neu B, Quinkler M, Baudin E, Hahner S, Heidemeier A, Fassnacht M. Treatment of Refractory Adrenocortical Carcinoma with Thalidomide: Analysis of 27 Patients from the European Network for the Study of Adrenal Tumours Registry. Exp Clin Endocrinol Diabetes. 2019 127 578-584.

Diagnostic Tests For Diabetes Mellitus

ABSTRACT

 

In this chapter, indications for screening for diabetes mellitus are reviewed. Criteria for diagnosis are fasting plasmaglucose ≥ 126 mg/dl (7.0 mmol/l) or random glucose ≥200 mg/dl (11.1 mmol/l) with hyperglycemic symptoms, hemoglobin A1c (HbA1c) ≥6.5%, and oral glucose tolerance testing (OGTT) 2-h glucose ≥200 mg/dl (11.1 mmol/l) after 75 g of glucose. One-step and two-step strategies for diagnosing gestational diabetes using pregnancy-specific criteria as well as use of the 2-h 75-g OGTT for the postpartum testing of women with gestational diabetes (4-12 weeks after delivery) are described. Testing for other forms of diabetes with unique features are reviewed, including the recommendation to use the 2-h 75 g OGTT to screen for cystic fibrosis-related diabetes and post-transplantationdiabetes, fasting glucose test for HIV positive individuals, and genetic testing for monogenic diabetes syndromes including neonatal diabetes and maturity-onset diabetes of the young (MODY). Elevated measurements of pancreatic islet autoantibodies (e.g., to the 65-KDa isoform of glutamic acid decarboxylase (GAD65), tyrosine phosphatase related islet antigen 2 (IA-2), insulin (IAA), and zinc transporter (ZnT8)) suggest autoimmune type 1 diabetes (vs type 2 diabetes). IAA is primarily measured in youth. The use of autoantibody testing in diabetes screening programs is recommended in first degree relatives of an individual with type 1 diabetes or in research protocols. C-peptidemeasurements can be helpful in identifying those who have type 1 diabetes (low or undetectable c-peptide) from those who may have type 2 or monogenic diabetes.

 

SCREENING FOR DIABETES MELLITUS AND PREDIABETES

 

Early detection and treatment of diabetes mellitus is important in preventing acute and chronic complications of this disease. Individuals with symptoms suggestive of hyperglycemia, such as polyuria, polyphagia, polydipsia, unexplainedweight loss, blurred vision, excessive fatigue, or infections or wounds that heal poorly should be promptly tested. The American Diabetes Association (ADA) recommends routinely screening for type 2 diabetes in adults every three years beginning at age 45. In asymptomatic people, testing for type 2 diabetes should be considered in adults of any age if they are overweight or obese (BMI ≥ 25 kg/m2, or ≥ 23 kg/m2 if Asian background), planning pregnancy, and/or if theyhave additional risk factors as listed below in Table 1. Repeat screening should be performed at least every three years. Patients with prediabetes should be screened yearly (1). The US Preventive Services Task Force recommends glucose screening for all asymptomatic overweight or obese adults ages 40-70 (2); the American Association of Clinical Endocrinologists recommends screening at risk individuals at any age (3).

 

Table 1. Risk Factors for the Development of Type 2 Diabetes

Physical inactivity

First-degree relative with diabetes

High-risk race/ethnicity (e.g., African American, Latino, Native American, Asian American, PacificIslander)

Women who delivered a baby weighing >9 lb. or were diagnosed with Gestational Diabetes

Hypertension (≥130/80 mm Hg or on therapy for hypertension)

HDL cholesterol level <35 mg/dL (0.90 mmol/L) and/or a triglyceride level >250 mg/dL (2.8 mmol/L)

Individuals with polycystic ovary syndrome

People with prediabetes (HbA1C ≥5.7%, Impaired Glucose Tolerance (IGT), or Impaired FastingGlucose (IFG))

Other clinical conditions associated with insulin resistance (e.g., severe obesity, acanthosis nigricans. Metabolic dysfunction-associated steatotic liver disease)

History of cardiovascular disease

Individuals in other high-risk groups (HIV, exposure to high-risk medicines, evidence of periodontal disease, history of pancreatitis

 

Type 2 diabetes is becoming a growing problem in children and adolescents in high-risk populations. To address this issue, the ADA recommends screening overweight [body mass index (BMI) ≥85th percentile] or obese (BMI ≥95thpercentile) youth at least every 3 years, beginning at age 10 or at the onset of puberty, if they have 1 or more additional risk factors listed below in Table 2. Repeat testing should be done more frequently if BMI increases (1).

 

Table 2. Risk Factors for Type 2 Diabetes in Children and Adolescents

Family history of type 2 diabetes in first and second-degree relatives

Race and ethnicity (Native American, African American, Latino, Asian American, Pacific Islander)

Signs of insulin resistance or conditions associated with insulin resistance (acanthosis nigricans,hypertension, dyslipidemia, small-for- gestational-age birth weight, or polycystic ovary syndrome)

Maternal history of diabetes or gestational diabetes during child's gestation

 

DIAGNOSING DIABETES AND PREDIABETES

 

The diagnosis of diabetes can be made using the fasting plasma glucose, random plasma glucose, oral glucose tolerance test, or hemoglobin A1c (HbA1c) (1). Testing should be performed on 2 separate days using one or more ofthe above tests, unless unequivocal hyperglycemia is present. Alternatively, in the absence of symptoms of hyperglycemia, diabetes can be diagnosed if there are two different abnormal test results from the same sample (1).  An overview of the ADA criteria is shown in Table 3.

 

Table 3. ADA Criteria for the Diagnosis of Diabetes

HbA1C ≥6.5%. The test should be performed in a laboratory using a method that is NationalGlycohemoglobin Standardization Program certified and standardized to the Diabetes Control and Complications Trial (DCCT) assay.

FPG ≥126 mg/dL (7.0 mmol/L). Fasting is defined as no caloric intake for at least 8 h.

2-h plasma glucose ≥200 mg/dL (11.1 mmol/L) during an Oral Glucose Tolerance Test (OGTT). The test should be performed as described by the WHO, using a glucose load containing the equivalent of 75 g anhydrous glucose dissolved in water.

In an individual with classic symptoms of hyperglycemia or hyperglycemic crisis, a random plasma glucose ≥200 mg/dL (11.1 mmol/L). Random is any time of day without regard to time since previous meal.

 

HbA1c

 

The use of the HbA1c assay was recommended for the diagnosis of diabetes in 2009 by an International Expert Committee (4). HbA1c levels reflect overall glycemic control and correlate with the development of microvascular complications. An HbA1c ≥ 6.5% on two separate occasions can be used to diagnose diabetes. An HbA1c level of 6.0%to ≤ 6.5% identifies high risk of developing diabetes. The ADA considers individuals with a HbA1c of 5.7% to 6.4% at increased risk for developing diabetes (1). HbA1c should not be used to diagnose gestational diabetes, diabetes in HIV positive individuals, post-organ transplantation, or in people with cystic fibrosis.

 

Fasting and Random Plasma Glucose

 

Fasting plasma glucose is one method recommended by the ADA for the diagnosis of diabetes in children and non-pregnant adults (1). The interpretation of fasting glucose measures is shown in Table 4.  The test should be performedafter an 8 hour fast. For routine clinical practice, fasting plasma glucose may be preferred over the oral glucosetolerance test because it is rapid, easier to administer, is more convenient for patients and providers, and has a lowercost (1). A random plasma glucose level, which is obtained at any time of the day regardless of the time of the last meal, can also be used in the diagnosis of diabetes in a patient with classic symptoms of hyperglycemia or hyperglycemic crisis.

 

Table 4. Fasting Plasma Glucose Criteria

 

Fasting Plasma Glucose

Normal glucose tolerance

<100 mg/dl (5.6 mmol/l)

Impaired fasting glucose (pre-diabetes)

100-125 mg/dl (5.6-6.9mmol/l)

Diabetes mellitus

≥126 mg/dl (7.0 mmol/l)

 

For the diagnosis of diabetes, standard venous plasma glucose specimens should be obtained. Specimens should be processed promptly, since glucose is metabolized at room temperature. This process is influenced by storage temperature, storage time as well as other factors, and is accelerated in the presence of bacteria or leukocytosis.

 

Whole blood glucose specimens obtained with point-of- care devices should not be used for the diagnosis of diabetes because of the inaccuracies associated with these methods. Capillary and venous whole blood glucose concentrations are approximately 15% lower than plasma glucose levels in fasting specimens.  However, most devices account for this difference in their calibration.

 

Oral Glucose Tolerance Test (OGTT)

 

OGTTS FOR THE DIAGNOSIS OF DIABETES AND IMPAIRED GLUCOSE TOLERANCE IN NON-PREGNANT INDIVIDUALS

 

A formal OGTT can be used to establish the diagnosis of diabetes mellitus (Table 5). OGTT is more cumbersome and costlier than the fasting plasma glucose test; however, the use of only the fasting plasma glucose may not identify a proportion of individuals with impaired glucose tolerance or diabetes (5). A plasma glucose level  2-hours after a glucose challenge may identify additional individuals with abnormal glucose tolerance who are at risk for microvascular and macrovascular complications, particularly in high-risk populations in which postprandial (versus fasting) hyperglycemia is evident early in the disease (6,7).

 

When using an OGTT, the criteria for the diagnosis of diabetes is a 2 h glucose >200 mg/dl (11.1 mmol/l) after a 75-gramoral glucose load (ADA and WHO criteria). The 75-gram glucose load should be administered when the patient has ingested at least 150 grams of carbohydrate for the 3 days preceding the test and after an overnight fast. Dilution of the75-gram oral glucose load (300-900 ml) may improve acceptability and palatability without compromising reproducibility(8). The patient should not be acutely ill or be taking drugs that affect glucose tolerance at the time of testing, and should abstain from tobacco, coffee, tea, food, alcohol and vigorous exercise during the test.

 

Table 5. Oral Glucose Tolerance Test Glucose Criteria

 

2-h Plasma Glucose (after 75-gram Glucose Load)

Normal glucose tolerance

<140 mg/dl (7.8 mmol/l)

Impaired glucose tolerance(pre-diabetes)

140-199 mg/dl (7.8-11.1 mmol/l)

Diabetes mellitus

≥200 mg/dl (11.1 mmol/l)

 

 OGTTS FOR THE DIAGNOSIS OF GESTATIONAL DIABETES

 

Please see the Endotext Chapter on Gestational Diabetes for additional details on the diagnosis of gestational diabetes.  The prevalence of gestational diabetes (GDM) varies among racial and ethnic groups and between screening practices, testing methods, and diagnostic criteria. The overall frequency of GDM in the 15 centers participating in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study was 17.8% (9), and regional estimates may vary from 10% to 25 % depending on the population studied (10). The prevalence increases with increased number of risk factors (Tables 6 and 7), such that 33% of women with 4 or more risk factors have gestational diabetes (11). This condition is important to diagnose early because of the increased perinatal morbidity associated with poor glycemic control.

 

The US Preventive Task Force recommends screening for gestational diabetes in asymptomatic women after 24 weeks of gestation (12); the ADA recommends screening all pregnant women routinely between 24- and 28-weeks’ gestation (Table 8). If the woman has risk factors, however, screening should be performed at the initial prenatal visit using standard criteria (1).

 

Table 6. Risk Factors for the Development of Gestational Diabetes

Overweight or obese

Previous history of impaired glucose tolerance, gestational diabetes, or delivery of a babyweighing >9 lb.

Glycosuria or history of abnormal glucose tolerance

Family history of diabetes (especially first degree relative)

Polycystic ovarian syndrome, hypertension, glucocorticoid use

History of poor obstetric outcome

Age (>25 years)

High risk ethnicity

Multiple gestation

 

Table 7. Low Risk for the Development of Gestational Diabetes

Age (< 25 years)

Normal weight pre-pregnancy

Low risk ethnicity

No first-degree relatives with diabetes

No history of abnormal glucose tolerance

No history of poor obstetric outcome

 

Table 8. Time of Initial Testing for Gestational Diabetes

Risk of Development of Gestational Diabetes

Time of Initial Testing for Gestational Diabetes

Low risk

24-28 weeks gestation

Average risk

24-28 weeks gestation

High risk

As soon as feasible; repeat at 24-28 weeks if earliertesting normal

 

More than one method has been recommended for the screening and diagnosis of gestational diabetes. The criteria for the diagnosis of this condition remain controversial because the glucose thresholds for the development of complicationsin pregnancies with diabetes remain poorly defined. Currently, the ADA suggests screening for GDM with either the “one-step” or “two-step” approach (1). Long term outcome studies evaluating pregnancies complicated by GDM are currently underway and hopefully a uniform approach will be adopted.

 

One-Step Strategy

 

The International Association of Diabetes and Pregnancy Study Group (IADPSG), an international consensus group with representatives from multiple obstetrical and diabetes organizations including the ADA recommend that all women not previously known to have diabetes undergo a 75-gram 2-hour OGTT at 24-28 weeks of gestation (Table 9). This approach, which has been adopted internationally, is expected to increase the prevalence of GDM as only one abnormal value is sufficient to make the diagnosis (1,13). In 2017, the American College of Obstetricians and Gynecologists(ACOG) stated that clinicians may make the diagnosis of gestational diabetes based on only one elevated blood glucose value if warranted, based on their population, although this organization still supports the “two step” approach for diagnosis of GDM (14).  These glucose thresholds were based on outcome data of the HAPO study that conveyed an odds ratio for adverse maternal, fetal, and neonatal outcomes of at least 1.75 based on fully adjusted logistic regression models (15).

 

Table 9. Oral Glucose Tolerance Test Glucose Criteria for the Diagnosis of GDM

75-gram 2- hour OGTT: Performed at 24-28 weeks gestation in the morning after an overnight fast of atleast 8 hours. GDM is diagnosed when any of the following values are exceeded:

Fasting

≥ 92 mg/dL (5.1 mmol/L)

One Hour

≥ 180 mg/dL (10.0 mmol/L)

Two Hour

≥ 153 mg/dL (8.5 mmol/L)

 

Two-Step Strategy

 

The American College of Obstetricians and Gynecologists (ACOG) as well as the National Institutes of Health (NIH) have been in support of the "two step" approach which consists of universal screening of all pregnant women at 24-28 weeks gestation with a 50-gram glucose challenge regardless of timing of previous meals (Table 10), followed by a 100- gram three-hour OGTT in screen positive patients (14, 16).

 

In the two-step approach, first a 50-gram oral glucose load is administered regardless of the timing of previous meals. The following thresholds have been defined as a positive screen: ≥130 mg/dL, ≥135 mg/dL, or ≥140 mg/dL (7.2 mmol/L, 7.5 mmol/L, or 7.8 mmol/L); the lower threshold has an estimated sensitivity and specificity of 88-99% and 66-77% compared to 70-88% and 69-89% respectively for the higher cutoff values of ≥135 mg/dL or ≥140 mg/dL (1).

 

Table 10. Abnormal Glucose Level on Screening Test

50-gram Glucose Load

1-h Plasma Glucose

≥130 mg/dl (7.8 mmol/l)

 

If the screening test is abnormal, the diagnosis of gestational diabetes should be confirmed using a formal 100-gram OGTT (Table 11). This test should be performed after an overnight (8-14 h) fast. It is generally recommended that the woman ingest at least 150 grams of carbohydrate/day for the 3 days prior to testing to prevent false positive results; however, the necessity of this preparatory diet in normally nourished women has been challenged (17). The ADArecommends using the Carpenter/Coustan criteria (1). At least 2 of the following 4 venous plasma glucose levels mustbe attained or exceeded to make the diagnosis of GDM (1).

 

Table 11. Oral Glucose Tolerance Test Glucose Criteria for the Diagnosis of GDM

 

Carpenter/Coustan

National Diabetes Data Group

Fasting

≥95 mg/dl (5.3 mmol/l)

≥105 mg/dl (5.8 mmol/l)

One Hour

≥180 mg/dl (10.0 mmol/l)

≥190 mg/dl (10.6 mmol/l)

Two Hours

≥155 mg/dl (8.6 mmol/l)

≥165 mg/dl (9.2 mmol/l)

Three Hours

≥140 mg/dl (7.8 mmol/l)

≥145 mg/dl (8.1 mmol/l)

 

OGTTS FOR POSTPARTUM TESTING OF WOMEN WITH GESTATIONAL DIABETES

 

Women with a history of GDM are at a higher risk of developing type 2 diabetes than women without GDM (18,19). Women at the highest risk are those with multiple risk factors, those who had more severe gestational diabetes, andthose with poorer beta cell function (11). The ADA recommends testing women 4-12 weeks after delivery using a two-hour 75-gram OGTT. Women with normal results should be retested at least every 3 years. It is recommended thatwomen with impaired fasting glucose or impaired glucose tolerance be retested on a yearly basis (1).

 

Special Populations

 

 

Diabetes is common in patients with cystic fibrosis and is associated with adverse effects on nutritional status as well aspulmonary function. Annual screening for diabetes is recommended for individuals over age 10 with cystic fibrosis (1). HbA1c and fructosamine can be inaccurate in this population. In a retrospective analysis of the Toronto cystic fibrosis database, screening for diabetes using a HbA1c cutoff of 5.5% had a sensitivity of 91.8% and specificity of only 34.1% (20) but more studies need to be performed before the use of HbA1c is generally recommended for the diagnosis of diabetes in these individuals.

 

The use of the 2-hour 75 gm OGTT is recommended for the screening of healthy outpatients with cystic fibrosis. For patients receiving continuous drip feedings, laboratory glucose levels at the midpoint or immediately after feedings should be obtained. The diagnosis of diabetes is based on glucose levels ≥200 mg/dL on 2 separate occasions. If the patient is acutely ill or ingesting glucocorticoids, a FPG ≥126 mg/dL or 2-hour postprandial glucose ≥200 mg/dL thatpersists for >48 hours is sufficient to diagnose diabetes (21, 22).

 

FASTING GLUCOSE FOR DIAGNOSIS OF PREDIABETES AND DIABETES IN PEOPLE LIVING WITH HIV

 

Screening for prediabetes and diabetes by measuring fasting glucose before and 3-6 months after starting or changing antiretroviral therapy is recommended for everyone living with HIV (1). If normal, a fasting glucose test should be performed yearly. Screening using a HbA1c test is not recommended for diagnosis due to risk of inaccuracies (1, 23).

 

OGTTS FOR DIAGNOSIS OF POST- TRANSPLANTATION DIABETES

 

After an individual has had an organ transplant and is on stable immunosuppressive therapy, routine screening for diabetes is recommended. The recommended screening test is an OGTT post- transplantation (1).

 

TESTS USED FOR CLASSIFICATION OF DIABETES

 

General Approach

 

Other tests are used for the purpose of classifying diabetes.  For details see individual chapters in Endotext: 

 

·       Diagnosis and Clinical Management of Monogenic Diabetes

·       Atypical Forms of Diabetes

·       Lipodystrophy Syndromes: Presentation and Treatment

·       Fibrocalculous Pancreatic Diabetes

·       Diabetes Mellitus After Solid Organ Transplantation

·       Diabetes in People Living with HIV

·       Autoimmune Polyglandular Syndromes

·       Etiology and Pathogenesis of Diabetes Mellitus in Children and Adolescents

 

In brief, most patients with diabetes can be classified as either type 1 or type 2 diabetes using clinical judgement and simple tests if needed.  However, the pathophysiology of diabetes is complex and significant overlap can exist, potentially leading to misclassification.  While youth with type 1 diabetes typically present with rapid onset symptoms, adults with type 1 diabetes may have a much slower, more indolent course.  While the incidence rate of type 1 diabetes is higher in youth, over half of individuals diagnosed with type 1 diabetes are adults (24). This is why ~40% of adults with new onset type 1 diabetes are initially misclassified as having type 2 diabetes (25).  Another term for slowly progressing type 1 diabetes is latent autoimmune diabetes in the adult (LADA).  However, the American Diabetes Association classifies LADA as type 1 diabetes.  It is important to recognize these individuals because they require insulin sooner than individuals with type 2 diabetes (26) and they have a higher long-term risk of complications (27).  On the other hand, type 2 diabetes can present in some populations (particularly those with Black or Latinx background) with diabetic ketoacidosis (DKA) and this is termed ketosis prone diabetes (28). The importance of this is that about half of individuals initially presenting with DKA who have normal c-peptide and negative autoantibodies may be able to come discontinue insulin therapy (1,29).

 

The most discriminating features of type 1 diabetes are younger age (<35 years), lower body mass index (<25 kg/m2), unintentional weight loss, ketoacidosis, and severe hyperglycemia (>360 mg/dl) at presentation (1, 25). A helpful pneumonic is AABBCC which stands for age, autoimmunity (personal or family history of other autoimmune disorders), body habitus, background (family history of type 1 diabetes), control (glucose), and comorbidity (such as treatment with a checkpoint inhibitor for cancer).  However, these features are not absolute, and the correct classification may only become apparent over time.

 

An overview of the classification for suspected type 1 diabetes is shown in the Figure.  For anyone with possible type 1 diabetes, testing for autoantibodies such as glutamate decarboxylase isoform 65 (GAD65A), insulin, insulinoma antigen 2, and zinc transporter isoform 8 (Znt8A) should be performed.  The GAD antibody is the most prevalent autoantibody, but false positives can occur and the presence of multiple positive autoantibodies, and/or higher titers increases specificity.

 

The c-peptide is often normal at the time of diagnosis.  Among individuals who have had diabetes for many years, it is important to note that autoantibodies may become undetectable.  On the other hand, while the c-peptide is often normal at the time of diagnosis, it typically declines over time (and glucose fluctuations become more difficult to manage) making the clinical diagnosis clearer.  The c-peptide should be obtained from a random (nonfasting) sample and interpreted within the context of a concomitant serum glucose level (ideally >144 mg/dl) (30). If normal, it should be measured periodically where the diagnosis is unclear.

 

Figure. Classification of suspected type 1 diabetes (T1D). Ab=antibody, MODY=maturity onset diabetes of youth, T2D=type 2 diabetes, Rx=treatment, Dx=diagnosis.

 

While type 2 diabetes is considered polygenic, several forms of monogenic diabetes are well known.  These are often non-syndromic and include neonatal diabetes and older onset forms that collectively were formerly known as maturity onset diabetes of youth (MODY).  Monogenic diabetes is typically inherited in an autosomal dominant manner and should be suspected in individuals diagnosed as children or young adults (<25 years) with a strong family history and without other clinical features of type 1 or type 2 diabetes such as obesity or type 1 diabetes autoantibodies (1).  Individuals commonly have an intact c-peptide and HbA1c <7.5% at diagnosis.  When these forms are suspected, patients should be referred for genetic testing.  Some mutations leading to diabetes involve multiple organ systems and can be categorized as syndromic diabetes.  Syndromic features include maternally inherited deafness, renal cysts, partial lipodystrophy, or severe insulin resistance in the absence of obesity. Such individuals should also be referred for genetic testing.

 

A comparison of features of types of diabetes is shown in Table 12.

 

Table 12. Characterization of Common Types of Diabetes (1)

 

T1D

“LADA”

T2D

MODY

Age

Often young

>age 25

Often adult

<age 25

Family history

Occasional

Occasional

Usually

Yes

C-peptide

Low, often undetectable

Varies

Normal or high

normal

Auto-ab

+

+

-

-

Weight

Tend to be lean

Tend to be lean

Usually overweight

Tend to be lean

Metabolic syndrome

No

Varies

Usually

No

Insulin requirement

Yes

Varies, rapid progression

Varies

Varies

 

C-peptide

 

During the processing of proinsulin to insulin in the beta cell of the pancreas, the 31 amino acid connecting peptide which connects the A and B chains, called c-peptide, is enzymatically removed and secreted into the portal vein. C-peptide circulates independently from insulin and is mainly excreted by the kidneys. Levels are elevated in renal failure. Standardization of different c-peptide assays is still suboptimal. C-peptide testing is used to examine insulin secretory reserve in people with diabetes.

 

At the time of type 1 diabetes diagnosis, c-peptide levels commonly overlap with those observed in type 2 diabetes and cannot reliably distinguish between these diabetes types. With longer duration, there is progressive loss of c-peptide, and although c-peptide levels in many individuals with long-standing type 1 diabetes are extremely low or undetectable, there is heterogeneity in residual beta cell function with detectable c-peptide being more common in adult-onset type 1 diabetes (33). In type 1 diabetes, detectable c-peptide is associated with better glycemic control, less hypoglycemia, and decreased microvascular disease (34-35).

 

Type 2 diabetes is heterogeneous, with many individuals having progressive loss of beta cell function over many years evidenced by decreasing c-peptide levels. Fasting and glucose-stimulated c-peptide levels have been used in the past to distinguish type 1 (severe insulin deficiency) from type 2 diabetes with limited success. However, targeted testing may be more discriminatory. When random c-peptide testing was performed >3 years after clinical diagnosis of type 1 diabetes,13% had a c-peptide ≥200 pmol/L, and after islet autoantibody and genetic testing, 6.8% of these were reclassified: 5.1% as having type 2 diabetes and 1.6% as having monogenic diabetes (36).

 

C-peptide stimulation using glucagon or a mixed meal such as Sustacal, has also been used to help differentiate between type 1 and type 2 diabetes, and to determine the need for insulin therapy in type 2 diabetes. In the glucagon stimulation test, glucose, insulin and c-peptide levels are measured 6 and 10 min after the intravenous injection of 1 mg of glucagon. Normal stimulation of c-peptide is a 150- 300% elevation over basal levels. In the mixed meal tolerance test, Sustacal (6 mg/kg up to a maximum or 360 ml) is ingested over 5 minutes, and glucose and c-peptide are measured 90 min after oral ingestion. These tests have had limited general clinical utility since they do not reliably discriminate between patients who require insulin therapy. They have been used in research studies and in the evaluation of patients after pancreatectomy and pancreatic transplantation. In the Diabetes Control and Complications Trial, a basal c- peptide value of <0.2 pmol/ml and stimulated level of <0.5 pmol/ml were used to confirm the presence of type 1 diabetes at entry (37).  According to the ADA guidelines, a random c-peptide and concomitant glucose level obtained within 5 hours of eating is sufficient for classification.

 

Pancreatic Autoantibodies

 

Islet autoantibodies can be detected early in the development of type 1 diabetes and are considered markers of autoimmune beta cell destruction. They predict progressive beta cell destruction and ultimately beta cell failure. The autoantibodies for which specific immunoassays are available include the 65-KDa isoform of glutamic acid decarboxylase (GAD65), insulin autoantibodies (IAA), zinc transporter antibodies (ZnT8), islet cell antigen 512 autoantibodies (ICA512), and autoantibodies to the tyrosine phosphatase related antigens islet antigen 2 (IA-2) and IA-2b. Measurements of ICA512, which are autoantibodies to parts of the IA-2 antigen, are no longer recommended. The presence of high levels of 2 or more antibodies is strongly predictive of type 1 diabetes mellitus. These antibodies may be detected before the onset of type 1 diabetes, at the time of diagnosis, and for variable amounts of time after diagnosis. They have been used in screening for type 1 diabetes in first-degree relatives of an individual with type 1 diabetes or in research studies related to the early detection, treatment, and prevention of type 1 diabetes (www.diabetestrialnet.org). These measurements are not recommended for use in general screening programs in low-risk individuals.  The American Diabetes Association recommends offering screening via autoantibodies in persons with a strong family history of type 1 diabetes or otherwise known risk (1).  Additional information on screening for type 1 diabetes may be found in the Endotext Chapter “Changing the Course of Disease in Type 1 Diabetes”.

 

Commercially available assays for autoantibodies are often useful in distinguishing type 1 diabetes from type 2 diabetes. The absence of detection of these antibodies, however, does not exclude the diagnosis of type 1 diabetes. Since IAA can form in response to insulin therapy, detection can be the result of insulin injections or autoimmune insulin antibody formation. GAD65 antibodies are frequently observed early in the course of type 1 diabetes. They are also present in the rare neurological disorder, stiff-man syndrome, and in some patients with polyendocrine autoimmune disease.

 

In adults with newly diagnosed diabetes for whom type 1 diabetes is a possible diagnosis, GAD65 is commonly measured first, along with or followed by IA2 and ZnT8. IAA are more commonly detected in young children who developtype 1 diabetes.

 

Lynam and coworkers (38) developed a clinical multivariable model to help differentiate between type 1 and type 2 diabetes in adults ages 18-50 years. The model includes age at diagnosis, BMI, islet autoantibodies (GAD, IA-2), and atype 1 diabetes genetic risk score. The authors define type 1 diabetes by a non-fasting c-peptide <200 pmol/L andrapid insulin requirement within the first 3 years of diagnosis. The definition of type 2 diabetes was not requiring insulin treatment within the first 3 years after diagnosis or, if insulin was used, having a c-peptide measurement of >600 pmol/Lat ≥5 years post-diagnosis. Since the measures of the genetic variants in the type 1 diabetes genetic risk score are not widely available, this model is not used clinically in the United States.

 

Monogenic Diabetes Syndromes

 

Monogenic diabetes syndromes account for 1%-5% of all individuals with diabetes and have been primarily classified as neonatal diabetes or Maturity-Onset Diabetes of the Young (MODY) based on clinical characteristics. More than 50 affected genes have been described. A Diabetes Care Expert Forum was assembled in 2019 to re- consider the classification of monogenic diabetes syndromes. They recommend a classification system based upon molecular genetics, listing the affected gene, inheritance/phenotype, disease mechanism/special features, and the treatment implications (39).

 

The ADA recommends immediate genetic testing for all infants diagnosed with diabetes within the first 6 months of life (Table 13) (1). MODY most commonly manifests before age 25 years but can be diagnosed in older individuals. The inheritance is typically autosomal dominant.  Individuals who have positive islet autoantibody test results and/or low c-peptide concentrations should not be tested for monogenic diabetes syndromes (40). A MODY risk calculator is availableat: https://www.diabetesgenes.org/exeter-diabetes-app/

 

Table 13. When to Consider Genetic Testing for Monogenic Diabetes Syndromes

Diabetes diagnosed younger than 6 months of age

Diabetes in children and young adults not characteristic of type 1 or type 2 (negative pancreatic auto-antibodies, non- obese, no features of metabolic syndrome) and with a strong family history (diabetes in successive generations suggesting dominant inheritance)

Fasting glucose 100-150 mg/dL, stable A1c (5.6-7.6%), especially if in a non-obese child or youngadult

 

ACKNOWLEDGEMENTS

 

The authors would like to acknowledge the authors of a previous version of this chapter entitled “Pancreatic Islet Function Tests”: Sai Katta MBBS, Marisa E Desimone MD, and Ruth S Weinstock, MD, PhD.

 

REFERENCES

 

  1. American Diabetes Association Professional Practice Committee; 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes—2025. Diabetes Care1 January 2025; 48 (Supplement_1): S27–S49. https://doi.org/10.2337/dc25-S002.
  2. Siu AL; US Preventive Services Task Force. Screening for abnormal blood glucose and type 2 diabetes mellitus: U.S. Preventive Services Task Force Recommendation Statement. Ann Intern Med. 2015;163(11):861-8.
  3. American Association of Clinical Endocrinologists Medical Guidelines for Clinical Practice for Developing a Diabetes Mellitus Comprehensive Care Plan. Endocr Pract 2015;21(Suppl.2):1-87.
  4. The International Expert Committee. International Expert Committee Report on the role of the A1c assay in the diagnosis of diabetes. Diabetes Care 2009;32:1327-1334.
  5. Shaw JE, Zimmet PZ, McCarty D, de Courten Type 2 diabetes worldwide according to the new classification and criteria. Diabetes Care 2000;23 (Suppl 2):B5.
  6. The DECODE Study Group, the European Diabetes Epidemiology Group. Glucose tolerance and cardiovascular mortality: comparison of fasting and 2-hour diagnostic criteria. Arch Intern Med 2001;161:397-405.
  7. Harris TJ, Cook DG, Wicks PD, Cappuccio FP. Impact of the new American Diabetes Association and World Health Organization diagnostic criteria for diabetes on subjects from three ethnic groups living in the UK. Nutr Metab Cardiovasc Dis 2000;10:305-309.
  8. Sievenpiper JL, Jenkins DJA, Josse RG, Vuksan V. Dilution of the 75-g oral glucose tolerance test improves overall tolerability but not reproducibility in subjects with different body compositions. Diab Res Clin Pract 2001;51:87-95.
  9. Sacks DA, Hadden DR, Maresh M, et al. Frequency of gestational diabetes mellitus at collaborating centers based on IADPSG consensus panel-recommended criteria: the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Diabetes Care. 2012;35:526–528.
  10. Guariguata L, Linnenkamp U Beagley J et al. Global estimates of the prevalence of hyperglycaemia in pregnancy. Diabetes Res Clin Pract. 2014;103(2):176.
  11. Metzger BE, Buchanan TA, Coustan DR, et al. Summary and recommendations of the Fifth International Workshop-Conference on Gestational Diabetes Mellitus. Diabetes Care 2007; 30 (Suppl 2):S251-S260.
  12. Moyer VA; US Preventive Services Task Force. Screening for gestational diabetes mellitus; U.S Preventive Services Task Force recommendation. Ann Intern Med. 2014; 160(6):414-20.
  13. International Association of Diabetes and Pregnancy Study Groups Consensus Panel, Metzger BE, Gabbe SG, et al. International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care 2010; 33:676.
  14. American College of Obstetricians and Gynecologists Practice Bulletin 180:Gestational Diabetes Mellitus. Obstet Gynecol. 2017;130:e17-37.
  15. HAPO Study Cooperative Research Group, Metzger BE, Lowe LP, et al. Hyperglycemia and adverse pregnancy outcomes. N Engl J Med 2008; 358:1991-2002.
  16. Vandorsten JP, Dodson WC, Espeland MA et al. NIH consensus development conference: diagnosing gestational diabetes mellitus. NIH Consens State Sci Statements 2013;29:1-
  17. Crowe SM, Mastrobattista JM, Monga M. Oral glucose tolerance test and the preparatory diet. Am J Obstet Gynecol 2000;182:1052-1054.
  18. Bellamy L, Casas JP, Hingorani AD, Williams D. Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis. Lancet 2009; 373:1773.
  19. Noctor E, Crowe C, Carmody LA et al. ATLANTIC-DIP Investigators. Abnormal glucose tolerance post-gestational diabetes mellitus as defined by the International Association of Diabetes and Pregnancy Study Groups criteria. Eur J Endocrinol 2016;175:287-97.
  20. Gilmour JA, Sykes J, Etchells E, Tullis E. Cystic fibrosis-related diabetes screening in adults: a gap analysis and evaluation of accuracy of glycated hemoglobin levels. Can J Diabetes 2019;43:13-18.
  21. Moran A, Brunzell C, Cohen RC, Katz M, Marshall BC, et al. Clinical care guidelines for cystic fibrosis-related diabetes. A position statement of the American Diabetes Association and a clinical practice guideline of the Cystic Fibrosis Foundation, endorsed by the Pediatric Endocrine Society. Diabetes Care 2010;33:2697-2708.
  22. Moran A, Pillay K, Becker DJ, Acerini CL; International Society for Pediatric and Adolescent Diabetes. ISPAD Clinical Practice Consensus Guidelines 2014. Management of cystic – fibrosis related diabetes in children and adolescents. Pediatr Diabetes 2014;15(S20):65-76.
  23. Kim PS, Woods C, Georgoff P et al. A1c underestimates glycemia in HIV infection. Diabetes Care 2009;32:1591-1593.
  24. Leslie RD, Evans-Molina C, Freund-Brown J, Buzzetti R, Dabelea D, Gillespie KM, Goland R, Jones AG, Kacher M, Phillips LS, Rolandsson O, Wardian JL, Dunne JL. Adult-Onset Type 1 Diabetes: Current Understanding and Challenges. Diabetes Care. 2021 Nov;44(11):2449-2456. doi: 10.2337/dc21-0770.
  25. Holt RIG, DeVries JH, Hess-Fischl A, Hirsch IB, Kirkman MS, Klupa T, Ludwig B, Nørgaard K, Pettus J, Renard E, Skyler JS, Snoek FJ, Weinstock RS, Peters AL. The Management of Type 1 Diabetes in Adults. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care. 2021 Nov;44(11):2589-2625. doi: 10.2337/dci21-0043.
  26. Davis TM, Wright AD, Mehta ZM, Cull CA, Stratton IM, Bottazzo GF, Bosi E, Mackay IR, Holman RR. Islet autoantibodies in clinically diagnosed type 2 diabetes: prevalence and relationship with metabolic control (UKPDS 70). Diabetologia. 2005 Apr;48(4):695-702. doi: 10.1007/s00125-005-1690-x
  27. Maddaloni E, Coleman RL, Agbaje O, Buzzetti R, Holman RR. Time-varying risk of microvascular complications in latent autoimmune diabetes of adulthood compared with type 2 diabetes in adults: a post-hoc analysis of the UK Prospective Diabetes Study 30-year follow-up data (UKPDS 86). Lancet Diabetes Endocrinol. 2020 Mar;8(3):206-215. doi: 10.1016/S2213-8587(20)30003-6.
  28. Redondo MJ, Balasubramanyam A. Toward an Improved Classification of Type 2 Diabetes: Lessons From Research into the Heterogeneity of a Complex Disease. J Clin Endocrinol Metab. 2021 Nov 19;106(12):e4822-e4833. doi: 10.1210/clinem/dgab545.
  29. Maldonado M, Hampe CS, Gaur LK, D'Amico S, Iyer D, Hammerle LP, Bolgiano D, Rodriguez L, Rajan A, Lernmark A, Balasubramanyam A. Ketosis-prone diabetes: dissection of a heterogeneous syndrome using an immunogenetic and beta-cell functional classification, prospective analysis, and clinical outcomes. J Clin Endocrinol Metab. 2003 Nov;88(11):5090-8. doi: 10.1210/jc.2003-030180.
  30. Hope SV, Knight BA, Shields BM, Hattersley AT, McDonald TJ, Jones AG. Random non-fasting C-peptide: bringing robust assessment of endogenous insulin secretion to the clinic. Diabet Med. 2016 Nov;33(11):1554-1558. doi: 10.1111/dme.13142. 
  31. Fiorentino TV, Marini MA, Succurro E, Andreozzi F, Sesti G. Relationships of surrogate indexes of insulin resistance with insulin sensitivity assessed by euglycemic hyperinsulinemic clamp and subclinical vascular damage. BMJ Open Diabetes Res Care 2019;7:e000911.
  32. Chase HP, Cuthbertson DD, Dolan LM, Kaufman F, Krischer JP, Schatz DA, White NH, Wilson DM, Wolfsdorf J. The Diabetes Prevention Trial-Type 1 Study Group. First-phase insulin release during the intravenous glucose tolerance test as a risk factor for type 1 diabetes. J Pediatr 2001;138:2244-249.
  33. Davis AK, DuBose SN, Haller MJ, Miller KM, DiMeglio LA, Bethin KE, Goland RS et al. Prevalence of detectable c- peptide according to age at diagnosis of type 1 .Diabetes Care 2015;38:476-481.
  34. Rickels MR, Evans-Molina C, Bahnson HT, Ylescupidez A, Nadeau KJ, Hao W, Clements MA, Sherr JL, Pratley RE, Hannon TS, Shah VN, Miller KM, Greenbaum CJ; T1D Exchange β-Cell Function Study Group. High residual C-peptide likely contributes to glycemic control in type 1 diabetes. J Clin Invest. 2020;130(4):1850-1862.
  35. Gubitosi-Klug RA, Braffett BH, Hitt S, Arends V, Uschner D, Jones K, Diminick L, Karger AB, Paterson AD, Roshandel D, Marcovina S, Lachin JM, Steffes M, Palmer JP; DCCT/EDIC Research Group. Residual β cell function in long- term type 1 diabetes associates with reduced incidence of hypoglycemia. J Clin Invest. 2021 Feb 1;131(3):e143011.
  36. Foteinopoulou E, Clarke CAL, Pattenden RJ, Ritchie SA, McMurray EM, Reynolds RM et al. Impact of routine clinic measurement of serum c-peptide in people with a clinician- diagnosis of type 1 diabetes. Diabet Med 2020 Nov 1,e14449.
  37. Diabetes Control and Complications Trial Research Group. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes N Engl J Med1993;329:977- 986.
  38. Lynam A, McDonald T, Hill A et al. Development and validation of multivariable clinical diagnosis models to identify type 1 diabetes requiring rapid insulin therapy in adults aged 18-50 years. BMJ Open 2019;9:e031586.
  39. Riddle MC, Philipson LH, Rich SS, Carlsson A, Franks PW, Greeley SAW et al. Monogenic diabetes: from genetic insights to population-based precision in care: reflections from a Diabetes Care editors’ expert forum. Diabetes Care 2020; 43:3117-3128.
  40. Shields BM, Shepherd M, Hudson M, McDonald TJ, Colclough K, Peters J, Knight B, Hyde C, Ellard S, Pearson ER, Hattersley AT; UNITED study team. Population-Based Assessment of a Biomarker-Based Screening Pathway to Aid Diagnosis of Monogenic Diabetes in Young-Onset Patients. Diabetes Care. 2017 Aug;40(8):1017-1025.

Surgical Prevention and Treatment of Diabetes

ABSTRACT

The effective treatment of obesity is challenging. This in part reflects the complexity of the underlying disease process. However, there are a growing number of effective surgical, endoscopic, and pharmacologic treatments which are available. Although there has long been a preference on lifestyle modification such as diet and exercise, there is a relative paucity of evidence to support these interventions as effective long-term treatments for obesity, in producing sustained weight loss and resultant improvements in obesity related disease and mortality. Conversely, bariatric procedures which include sleeve gastrectomy, roux en Y gastric bypass, single anastomosis gastric bypass, biliopancreatic diversion, and several less frequently performed operations have been shown to produce substantial and durable weight loss with significant improvements in obesity related disease, quality of life, and mortality. The mechanisms by which these operations work vary depending on the procedure however they primarily act via alterations in the gut-brain axis and alterations in neurohormonal signaling. These changes produce sustained changes in appetite and hunger and unlike weight loss mediated by diet are not followed by a rebound weight regain in the long term. In addition, there appear to be modifications in bile acid metabolism and the gut microbiome which also play a contributory role in weight loss following bariatric surgery. 

The criteria for consideration of bariatric surgery have recently been updated to reflect advances in knowledge, surgical technique, and safety. According to the 2022 guidelines produced by the International Federation for the Surgery of Obesity and Metabolic Disorders (IFSO), people with a BMI >35kg/m2 should be recommended surgery and those with BMI 30-34.9kg/m2 with metabolic disease should be considered. It is important to involve the multidisciplinary team in determining suitability for surgery as well as for long-term follow up (1). The multidisciplinary team typically includes a dietician, psychologist, physician, and surgeon. The decision on which procedure should be used is based on patient or surgeon preference, availability of appropriate aftercare and the patient’s tolerance of risk and permanent anatomical change.

BACKGROUND

The hallmark of an effective treatment of obesity is not one which can produce clinically weight loss, rather one which can produce weight loss which is sustained in the long term such that there is an improvement in obesity related disease and mortality. Although diet and lifestyle modification has long been the cornerstone of many obesity treatment programs, the primary concern with such approaches including very low energy diets (VLED) is the durability of weight loss. Randomized controlled trials have shown that weight loss of up to 15% is possible in people living with obesity however less than 10% will maintain this over one year and the majority will return to their pre-diet weight within 3-5 years (2). Conversely, bariatric surgery has been demonstrated to produce weight loss of 20-30% which critically is not only sustained in the long-term but has the effect of modifying the underlying disease process and resetting of the homeostatic weight ‘set point’, primarily through neurohormonal changes (3, 4).

The concept of the set point suggests that in the majority of adults, there is a pre-determined inherent weight around which each individual will maintain their weight over the long-term with a gradual increase seen over time. Following a period of volitional weight loss with dietary changes, there is a decrease in the overall weight followed by several homeostatic adaptations which see a return to the original baseline weight. Following bariatric surgery, irrespective of the procedure performed, there tends to be an initial period of rapid weight loss for the first 18 months followed by a period of weight stability and a subsequent very gradual weight regain. In spite of the recognized weight regain, what is critical is that overall, following surgery, there is a new, lower set point with a similar weight gain trajectory as to what is seen in the general population.

It was initially felt that bariatric procedures could be classified according to the mechanism by which they were thought to act, resulting in the description of ‘restrictive’ and ‘malabsorptive’ procedures however subsequent mechanistic studies have demonstrated this to be incorrect as they were recognized to act via alterations in neurohormonal signaling, bile acid metabolism, and changes in the microbiome (5). 

The longest-term data establishing the role of bariatric surgery as a treatment for obesity compared to traditional lifestyle interventions comes from the landmark Swedish Obese Subjects (SOS) study (3). With more than 25 years of follow up, this case-control series demonstrated that irrespective of the procedure performed, bariatric surgery produces sustained weight loss which is maintained long term and supports a reduction in all-cause mortality due to cardiovascular causes and cancer compared to matched controls receiving standard care at the time (6). Critically, in addition to producing sustained weight loss, evidence from randomized controlled trials (RCTs) have consistently supported the efficacy of bariatric surgery in the treatment of obesity related disease, specifically type 2 diabetes mellitus (T2DM) compared to medical treatment (7-18).

In light of improvements in glycemic control and even remission of diabetes in a subset of people with obesity, bariatric surgery forms a central element in the treatment algorithm as endorsed by the American Diabetes Association (ADA) and International Diabetes Federation (IDF) for those with obesity and T2DM. Early views of gastrointestinal surgery as a means of permanently curing diabetes have been replaced by a more realistic view that it is more likely a means of inducing remission and improving long term glycemic control. Longer-term data from studies has now demonstrated that one in four people  who initially go into remission will experience a relapse of T2DM (7). Despite this, it is essential to recognize that although some of the metabolic improvements associated with surgery dissipate with time, glycemic control is still very good compared to those treated with medication alone. As demonstrated by the UK Prospective Diabetes Study (UKPDS), there is a legacy effect of even a short period of improved glycemic control on the development of diabetes-related complications, cardiovascular endpoints and mortality (19). Thus, even individuals who do not meet the ADA criteria for diabetes remission, these improvements in glycemic control should not be dismissed as they may have important implications for morbidity and mortality.

A HISTORICAL PERSPECTIVE OF BARIATRIC SURGERY

Surgical procedures involving the upper gastrointestinal tract have long been recognized to result in substantial and sustained reductions in weight, albeit most often to the detriment of the patient. Although the mechanisms producing this weight loss were at the time very poorly understood, it became apparent that this effect could be used within the context of obesity to potentially produce surgically mediated weight loss with an improvement in metabolic disease.

Small Bowel Bypass Procedures (1950-1970)

Surgical management of obesity began with the introduction of the jejunoileal bypass (JIB) in 1954 (20). In this procedure, the proximal jejunum was diverted to distal part of the gut, leaving a long segment of excluded small intestine and a marked reduction in absorptive capacity. Although the JIB offered substantial and sustained weight loss with improvements in lipid metabolism, it was associated with serious side-effects including diarrhea, electrolyte imbalances, oxalate calculi in the kidneys, and progressive hepatic fibrosis with eventual liver failure (21-25). Given the seriousness of these complications, these procedures were generally abandoned by the 1970s in favor of so-called stomach stapling procedures

 

Stomach Stapling Procedures (1970-1990)

The Roux-en-Y gastric bypass (RYGB) operation was introduced by Edward Mason in 1960 (26) and gastroplasty in 1973 (27). Numerous variations of this procedure have followed, the most significant variant being the vertical banded gastroplasty (VBG) which was first described by Dr Mason in 1982 (28) . It was hoped that this group of operations would provide greater short- and long-term safety and yet retain the power of gastric bypass. Unfortunately, both randomized controlled trials and observational studies have consistently shown that it failed in both aspirations (29-32).

In the meantime, there was a resurgence of hypoabsorptive surgery with Italian surgeon,  Nicola Scopinaro, introducing the biliopancreatic diversion procedure (BPD) in 1976 (33). The basic procedure involves distal gastrectomy leaving a proximal gastric pouch of 200 – 500 ml, a 200 cm length of terminal ileum anastomosed to the gastric pouch, and the biliopancreatic limb entering at 50 cm from the ileocecal valve (34). The most notable remodeling of the procedure has been the so-called duodenal switch variant (BPD-DS) proposed by Picard Marceau’s group in 1993 (35, 36) in which a longitudinal gastrectomy (sleeve gastrectomy) enabled retention of the gastric antrum for controlled gastric emptying, and the ileal limb was anastomosed to the proximal duodenum.

Adoption of the Laparoscopic Approach

One of the most remarkable advances in bariatric surgery came with the near universal adoption of a laparoscopic approach. The reduced invasiveness resulted in major improvements in safety with regard to morbidity and mortality, irrespective of the procedure performed. This contributed to a major rise in the use of bariatric surgery for obesity across the world. According to the most recent IFSO Global Registry Report, 99.7% of all primary bariatric procedures undertaken worldwide are done laparoscopically (37).

One of the first laparoscopic procedures to gain widespread acceptance was the laparoscopic adjustable gastric band (LAGB) which had been specifically designed as a standalone laparoscopic procedure in 1993. Proponents of the LAGB felt the procedure offered two primary benefits; there was an improved safety profile as it did not require the formation of any gastrointestinal anastomoses while also providing the option of a procedure which could be specifically tailored to individual needs; and allowing for band filling and deflation without requiring further surgery. LAGB became the most commonly performed bariatric procedure worldwide throughout the 1990s with only the United States not seeing widespread adoption due to regulatory restrictions which were only resolved in 2001. The adoption of laparoscopic RYGB started within a similar timeframe as LAGB however, the technical challenge associated with the formation of two gastrointestinal anastomoses contributed to a slower uptake. As surgical techniques advanced, in part due to the development of more advanced stapling devices, RYGB became the most commonly performed bariatric procedure worldwide. The adoption of sleeve gastrectomy (SG) has steadily risen in recent years, now accounting for approximately 60% of procedures world-wide, therefore overtaking RYGB which accounted for 29.5% as of 2023 (37).This increase is in part driven by the perception that it is less technically challenging than procedures such as RYGB as no anastomosis is formed.

Although RYGB and SG continue to account for the majority of procedures, the adoption of laparoscopic surgery has not only increased safety associated with bariatric surgery but has also contributed to the development of several new operations. One anastomosis gastric bypass (OAGB) is particularly noteworthy with regard to its increasing popularity and growing evidence base to support it as both safe and effective in terms of weight loss and resolution of metabolic co-morbidity. OAGB currently accounts for approximately 4% of procedures world-wide although the number has steadily risen in recent years (37).

Overall, the availability of several safe and effective laparoscopic bariatric procedures allows for greater ability to choose an operation that meets both the expectations and need of the individual while matching this with the skill set of the surgeon and moving the field closer to an era of precision medicine.

CURRENT METHODS IN BARIATRIC SURGERY 

 

Sleeve Gastrectomy

The sleeve gastrectomy (SG) has become the most commonly performed bariatric procedure worldwide. Although initially conceived as part of the two-stage duodenal switch procedure SG has become a standalone operation having recognized the substantial weight loss it produces as well as improvement in obesity associated disease. SG involves excision of approximately 80% of the stomach by using multiple firings of a linear stapler/cutter to separate a narrow tube or sleeve of the lesser curve of the stomach from the greater curve. The initial firing starts approximately 4-7cm proximal to the pylorus which is preserved to maintain gastric emptying. A bougie (usually >32Fr) is placed in the lesser curve segment during the resection to maintain adequate lumen size. Although there is variability in the precise size, a 2012 consensus statement recommended the use of a bougie between 32-40Fr (38).

SG is relatively contraindicated in those with significant gastro-esophageal reflux disease (GERD) due to the high risk of worsening of pre-existing reflux and which can be difficult to manage symptomatically and may also play a role in the development of Barrett’s esophagus. Due to this potential risk, it is advised by the International Federation for the Surgery of Obesity (IFSO) that any person undergoing SG have surveillance endoscopy one year postoperatively and then every 2-3 years thereafter (39). Other recognized complications of SG include staple line leak and bleeding in the early postoperative period as well as de novo or worsening of GERD and stricture. As the gastric remnant is removed, SG is not a reversible procedure.

Although initially and incorrectly classified as a procedure that acted via mechanical restriction, mechanistic studies have demonstrated that SG acts by modifying key neurohormones including GLP-1 and PYY which regulate hunger, appetite, and satiety via the gut-brain axis (40). SG is also thought to reduce hunger through resection of the gastric fundus which is the site of ghrelin production (41).

 

Figure 1. Sleeve gastrectomy.

 

Laparoscopic Adjustable Gastric Banding (LAGB)

 

At one time LAGB was one of the most commonly performed bariatric procedures, however, it is now infrequently performed due to the perceived high complication and re-operation rate as well as the mounting evidence to support that that it does not produce equivalent weight loss to procedures such as SG and RYGB. Although previous studies have demonstrated nearly 50% excess weight loss that can be maintained with >15 year follow up, the major caveat was the requirement for very close follow up with regular band adjustments which was not sustainable in real world practice (42).

 

In spite of the apparent limitations of the LAGB, the less invasive nature of the operation and potential reversibility of the procedure make it a potential consideration for those who are considered higher risk. Recognized complications of LAGB include port site infection, GERD, pouch dilatation, band slippage and erosion. Studies have suggested that up to 50% of those who have a LAGB will require reoperation or band removal (43).

 

The exact mechanisms of action of the LAGB are unclear however they are thought to act beyond the pure mechanical effect by involving vagal afferents (44). Vagal stimulation may help regulate food intake by promoting satiety.

 

Figure 2. The band consists of a ring of silicone with an inner balloon. The balloon is connected to an access port.

Figure 3. The LAGB is placed over the cardia of the stomach within 1cm of the esophago-gastric junction.

Roux en Y Gastric Bypass (RYGB)

 

Roux en Y gastric bypass is now less commonly performed than SG due in part to the technical challenge of forming two anastomoses and previous lack of level one evidence demonstrating its superiority in terms of weight loss or resolution of obesity related disease. The emergence of recent data from several RCTs appears to support that RYGB may produce significantly higher weight loss than SG with greater improvements in obesity related disease including dyslipidemia and gastro-esophageal reflux disease (GERD). Overall, there is good long-term evidence to support the efficacy of RYGB as a safe procedure which provides significant and durable weight loss with a significant improvement in metabolic complications such as T2DM (7, 45). It is also the procedure of choice in those with significant pre-existing GERD and obesity rather than SG (46).

Similar to SG, studies have shown that RYGB produces weight loss through changes in gut hormones, namely GLP-1 and PYY, an effect which is believed to be in part the result of early delivery of nutrient in the terminal ileum and passage of undiluted bile in the bypass and the proximal jejunum (4, 5). These changes appear within days of surgery and as well as producing long-term reductions in weight are also responsible for the weight-loss independent improvements in glucose homeostasis which occur in the immediate postoperative period.

 

RYGB involves the formation of a small gastric pouch with an excluded gastric remnant. A loop of jejunum is then brought up and anastomosed to the gastric pouch to form the gastro-jejunostomy with the alimentary limb distal to this. Within the alimentary limb, ingested food is excluded from mixing with any digestive enzymes as the proximal jejunum has been bypassed. Approximately 100-120cm distal to the gastro-jejunostomy, a second anastomosis is formed between the biliary limb and the alimentary limb to form the jejuno-jejunostomy. It is only distal to this anastomosis that there is mixing of food and bile.

 

Although this is overall a very safe procedure, the most potentially serious complication which may arise is bowel obstruction or ischemia secondary to an internal hernia as two mesenteric defects are created during the procedure. Both mesenteric defects are typically closed intraoperatively, however, they may increase in size over time following weight loss and as the fat content of the mesentery decreases. Studies would support the routine closure of mesenteric defects but doing so is associated with an increased risk of complications associated with small bowel obstruction at the jejunojejunostomy (47). Additional complications include the possibility of anastomotic leaks or stricture and staple line bleeding. A small minority of people may also develop chronic abdominal pain which may be challenging to treat. It is also worth noting that due to the anatomical changes produced by RYGB, future procedures such as ERCP may require alternative approaches to accessing the excluded proximal duodenum via the remnant stomach. This may also be of concern in populations where there is concern about gastric cancer as the remnant stomach cannot be assessed by standard esophagogastroduodenoscopy.

 

Figure 4. RYGB showing a small gastric pouch, a narrow gastrojejunostomy and exclusion of foods from the duodenum and proximal jejunum.

 

One Anastomosis Gastric Bypass (OAGB)

 

The one gastric bypass is increasingly popular as an alternative to the RYGB owing in part to the fact that it produces significant weight loss but requires the formation of only one anastomosis. OAGB involves the formation of a small gastric pouch to which a loop of jejunum is anastomosed to form a gastro-jejunostomy. Unlike the RYGB, there is only one anastomosis and the length of duodenum and proximal jejunum which is bypassed is much longer, typically up to 150cm (48, 49). (figure 5).

 

The mechanism of action is thought to be very similar to that of RYGB in that it results in changes in gut hormone signaling via bypass of the proximal duodenum and studies to date would suggest that weight loss outcomes as a result are comparable (48). These changes are also responsible for the improvements in glucose homeostasis and resolution or improvement of T2DM.

 

Given the relative lack of long-term follow up on OAGB, there are concerns regarding the potential implications of chronic bile acid reflux and the possibility of inducing gastric and esophageal malignancy, however, there is no high-quality evidence at present to support these concerns.

 

Figure 5. OAGB showing the gastric pouch as a sleeve of lesser curve of stomach and the loop gastrojejunostomy.

 

Biliopancreatic Diversion / Duodenal Switch (BPD/DS)

 

Although BPD/DS is not amongst the most commonly performed bariatric procedures, accounting for only ~1% of operations worldwide, it is noteworthy for the amount of weight loss it induces as well as the resultant improvements in metabolic dysfunction. The operation is a two-stage procedure with the initial operation involving the formation of a sleeve gastrectomy with preservation of the pylorus. In the second stage, the duodenum is mobilized and divided at D1 and subsequently anastomosed to the distal ileum. The duoden-ileal anastomosis forms the alimentary limb through which ingested food will pass, without mixing with digestive enzymes. A second anastomosis is then formed between the biliary limb and the distal ileum, approximately 80-100cm proximal to the ileocecal valve. The second anastomosis creates a short common channel for mixing of ingested food and digestive enzymes.

 

The weight loss and metabolic improvements following BPD/DS are significantly greater than RYGB/OAGB and SG, however, it remains an infrequently performed procedure not only due to the technical challenges but primarily owing to significant long-term complications. As a result of the very short common channel, micronutrient and fat-soluble vitamin deficiencies are expected and long-term supplementation and monitoring is essential. The potential complications resulting from nutrient deficiency can be severe and in cases irreversible, including night blindness and Wernicke’s encephalopathy. Up to 10% will remain deficient despite adherence to dietary and nutritional guidelines and supplementation and will require re-operation (50).

 

Figure 6. The DS variant of BPD with a sleeve gastrectomy, retention of the gastric antrum, diversion of food into the mid small gut and diversion of pancreatic and biliary secretions to the distal small gut. Note both limbs are passing behind the transverse colon and a color difference is added to help follow the respective pathways. The common channel is the normal ileum terminating at the ileo-cecal junction.

 

Single Anastomosis Duodenal-Ileal Bypass with Sleeve (SADI-S)

 

The SADI-S procedure is seen as a potentially simplified version of the BPD-DS procedure. Similar to BPD-DS, the procedure involves the mobilization of the duodenum followed by sleeve gastrectomy with division of the duodenum. A duodenojejunal anastomosis is subsequently formed between the duodenal stump and a loop of ileum 250-300cm  proximal to the ileocecal junction which is brought up in an antecolic fashion (51). Weight loss and metabolic outcomes following SADI-S have been shown to be very good at five years with 40% total weight loss with 60-80% of individuals in T2DM remission (52-54). As there is a longer common channel, the risk of nutritional deficiencies is lower than seen with BPD-DS and were similar to RYGB (55).

 

Experimental Bariatric Procedures

 

In recent years, there has been growing interest in non-surgical treatments for obesity including endoscopic approaches. Although long-term data is more limited, the ability to offer less invasive procedures may further broaden the population to which effective obesity treatment is available. EndoBarrier is an endoscopically placed 60cm duodenal-jejunal bypass liner which aims to replicate the effects of RYGB. Once placed within the duodenal bulb, the liner allows the flow of gastric content to the jejunum via the lumen while pancreatic content flows along the outside, preventing any mixing until the end of the liner is reached. The device can be left in situ for a maximum of 12 months with studies demonstrating a significant improvement in weight and HbA1c, however results >1 year are limited and the device does not at present have approval for use (56).

 

MECHANISMS OF ACTION IN BARIATRIC SURGERY

 

Although the development of the set point theory would support that for the majority of adults, there appears to be a pre-determined inherent weight around which most will not significantly deviate from in the long term, there appear to be profound changes following bariatric surgery which contribute to weight loss which is maintained. Irrespective of the procedure performed, people tend to demonstrate a similar weight loss pattern following surgery with an initial period of rapid weight loss for the first 18 months followed by a period of weight stability and a subsequent very gradual weight regain. In spite of the recognized weight regain, what is key is that overall, following surgery, there seems to be a new, lower set point and the adoption of a similar weight gain trajectory as to what is seen in the general population.

 

Early views of bariatric surgery saw procedures characterized according to the mechanism by which they were thought to act with sleeve gastrectomy (SG) described as a volume reducing surgery, biliopancreatic diversion (BPD) seen as a hypoabsorptive procedure and Roux en Y gastric bypass (RYGB) as both. Subsequent mechanistic and behavioral studies have since produced greater insights in to the mechanisms of weight regulation, alterations in appetite and satiety and neurohormonal changes as well as bile acid metabolism which are now recognized as key regulators resulting in weight loss an improvement in metabolic dysfunction (41, 57, 58).

 

Neurohormonal Changes

 

The key to understanding many of the effects of bariatric surgery is an appreciation of the complex interaction between gut hormones and higher cortical centers which regulate appetite and satiety. Mechanistic studies following bariatric surgery have provided important insights on how these neurohormones mediate their effects as well as how these pathways may be modulated surgically and pharmacologically to produce sustained weight loss as well as improvements in metabolic dysfunction associated with obesity.

 

Central regulation of appetite and hunger occurs primarily within several nuclei located within the hypothalamus including the arcuate nucleus (ARC) which is one of the most well defined and characterized. Within the ARC, there are distinct neuronal subtypes which respond to signals from the brain stem as well as from within the circulation to potentiate their effects on appetite and hunger. Hunger stimulating neurons found within the medial ARC express neuropeptide Y (NPY) and agouti-related peptide (AgRP) which are recognized as the primary orexigenic neurons. Animal studies have contributed to characterizing the effects of these neurons with pharmacological activation of the NPY/AgRP neurons producing a rapid increase in food intake and fat stores while decreasing energy expenditure (59). The orexigenic effects of these neurons are counterbalanced by those within the lateral ARC, including pro-opiomelanocortin (POMC) and cocaine-and-amphetamine-related transcript (CART) neurons which decrease hunger and appetite a-melanocyte stimulating hormone (a-MSH) as it is one of the primary agonists of the anorectic melanocortin-4 receptor (MCR4) (60). The importance of the melanocortin pathway has been clearly illustrated by the effects of MCR4 deficiency in humans which has been identified as the most common cause of monogenic obesity. In these individuals, there is dysregulation of eating behaviors resulting in hyperphagia and obesity (61).

 

In addition, further peripheral feedback via gastrointestinal neurohormones plays an important role in modulating appetite and satiety. Although gut hormones have long been recognized to have essential roles within the gastrointestinal tract, regulating the release of insulin and exocrine secretions as well as altering motility, their central effects in regulating metabolism and energy balance via the gut brain axis are becoming increasingly well recognized and characterized.

 

The adipocyte derived hormone, leptin, has been identified as an important mediator in the regulation of body weight, serving as a marker of nutritional status and overall fat mass. Although leptin has a bidirectional effect and may affect both anorectic and orexigenic pathways, it appears to be predominantly related to the preservation of body weight. Falling leptin levels secondary to decreased fat mass appear to stimulate orexigenic NPY neurons in the ARC of the hypothalamus, mediating increased appetite and food intake (62, 63). Although initially considered as a potential therapeutic target for those with obesity given its effects on appetite and food intake, studies have demonstrated that those with obesity have high circulating levels of leptin and may be resistant to its effects (64). Studies have shown that in people with obesity, the administration of exogenous leptin does not significantly impact food intake, nor does it result in a reduction in body weight aside from very rare cases of congenital leptin deficiency (65).

 

Ghrelin is the only characterized peripherally derived orexigenic neuropeptide, mediating its effects on appetite centrally within the ARC of the hypothalamus by activating NPY/AgRP neurons (66). Ghrelin is primarily produced peripherally by the stomach and centrally within the pituitary gland and the two sources have been seen to have differing means of signaling. Pituitary derived ghrelin mediates its effect directly via the hypothalamus whereas ghrelin produced from within the stomach is believed to act via vagal afferents as its effects have been shown to be diminished following vagotomy (67). In addition to mediating central changes in appetite, ghrelin also produces important changes in glucose homeostasis with ghrelin being shown to inhibit glucose-stimulated insulin secretion and impairs glucose tolerance (68). The primary regulator of plasma ghrelin levels appears to be overall caloric intake with levels rising and falling in line with food intake and fasting although the exact mechanisms by which ghrelin secretion is controlled have still not been elucidated. The importance of ghrelin in long-term weight regulation in those with obesity has been supported by studies which have demonstrated increased levels of ghrelin following diet induced weight loss, a change which was not seen in those with surgically mediated weight loss following bariatric surgery (69). Furthermore in people living with obesity, the normal physiological reduction in ghrelin levels in the post-prandial period is attenuated which suggests a potential role for ghrelin in the development of obesity (70).

 

Glucagon-like peptide-1 (GLP-1) is one of the best characterized neurohormones involved in the physiological and metabolic changes mediated by bariatric surgery, acting both through central and peripheral receptors to mediate its effects. GLP-1 is an incretin hormone which is secreted by the enteroendocrine L cells primarily located within the terminal ileum and colon in response to luminal nutrient exposure, particularly fats and carbohydrates (71). Within the gastrointestinal tract, GLP-1 has an important role in regulating gastric emptying and has been demonstrated to decrease the rate of gastric emptying and increasing post prandial satiety and fullness, an effect which is thought to be mediated via the vagus nerve (72). Studies in rodent models following vagotomy have demonstrated a lack of GLP-1 secretion following ingestion of high fat test meals, supporting the importance of the vagus nerve as a mediator of this response (73). The delay in gastric emptying has also been demonstrated to have an effect on glucose absorption rates and glycemia. In those given the GLP-1 antagonist there was an increased glycemic response following a carbohydrate test meal (72). The predominant effects of GLP-1 on altering glucose metabolism occur via its action as an incretin hormone. Within the pancreas, GLP-1 binds to b-cells stimulating insulin secretion in a glucose dependent manner. In addition, GLP-1 improves glucose sensitivity in glucose resistant b-cells, allowing previously resistant b-cells to sense and respond to glucose and hyperglycemia (74). The use of GLP-1 receptor agonists have also been shown in rodents to increase b-cell proliferation while inhibiting apoptosis to increase overall b-cell mass (75). Further augmenting its effect on improving post prandial glycemia, GLP-1 also stimulates somatostatin by binding to GLP-1 receptors on pancreatic b-cells while inhibiting pancreatic glucagon secretion in a glucose dependent manner (76). Within the liver, GLP-1 inhibits hepatic glucose production while stimulating glucose uptake by muscle and adipose tissue. Centrally, GLP-1 is also produced within the nucleus of the solitary tract in the brainstem which projects to the hypothalamic paraventricular nucleus which expresses GLP-1 receptors (77). The small molecular size of GLP-1 allows it to cross the blood-brain-barrier thus GLP-1 receptor agonists given peripherally are thought to mediate central effects via receptors in the hypothalamus to promote satiety and reduce energy intake, contributing to weight loss.

 

Similar to GLP-1, peptide YY (PYY) is primarily secreted by the endocrine L cells within the terminal ileum in the postprandial period and has overlapping effects to GLP-1. Following its release, PYY results in delayed gastric emptying and decreased gastric secretion. Centrally, PYY acts within the arcuate nucleus of the hypothalamus by binding to the anorectic POMC neurons to inhibit feeding (78). Vagotomy results in an attenuated anorectic response to PYY, suggesting the potential role of the vagus in this pathway (79). In addition to its anorectic effects, PYY plays a role in weight maintenance via its effects on energy expenditure. In humans, peripheral infusion of PYY has been shown to increase energy expenditure as well as raising fat oxidation rates (80). Further establishing the role of PYY in body weight regulation was a study that demonstrated a negative correlation between fasting PYY levels and levels of adiposity and resting metabolic rate (81). In people living with obesity, there is a lower postprandial PYY level compared to normal body weight individuals in response to a test meal, which was associated with decreased satiety and relatively increased food intake (82). Peripheral administration of PYY produces a similar reduction in food intake in those with obesity as in those of a normal body weight, suggesting that PYY resistance is not likely contributing to the development of obesity (83). 

 

Bile Acid Metabolism

 

In addition to the critical role neurohormones are thought to play in long-term weight regulation, changes in bile acid (BA) metabolism have been recognized as a potential key mediator, which may contribute to long term weight loss following bariatric surgery. Studies in both human and rodent models have demonstrated increased plasma bile acids following Roux en Y gastric bypass (RYGB), sleeve gastrectomy (SG), and biliopancreatic diversion (BPD) in both human and rodent models. The farnesoid X receptor (FXR) is a nuclear BA receptor and is an important regulator of genes which are involved in BA synthesis and transport in addition to its role in lipid and glucose metabolism (84). There is growing interest that changes in BA metabolism via FXR are a key link between the alterations in BA composition following bariatric surgery and the improvements in glucose homeostasis and remission of T2DM. Studies in rodent models have supported the potential relationship between alterations in BA metabolism mediated by the FXR with weight loss and improvements in glycemic control. In mice with diet induced obesity undergoing SG and FXR receptor genetic disruption, there was a clear decrease in weight loss and improvements in glycemia compared to wild type littermates also undergoing SG, establishing the importance of a functional FXR to mediate some of the metabolic improvements following surgery (85). It is thought that the increase in plasma bile acids results in FXR activation which in turn produces an increase in FGF19 which has effects mimicking the actions of insulin, increasing glycogen synthesis while decreasing gluconeogenesis (86).

 

Increased plasma BA are also thought to induce metabolic changes following bariatric surgery by binding to the G protein coupled receptor, TRG5, which is expressed in the distal ileum. Found within the enteroendocrine L cells, BA are thought to activate TGR5, which is a key element in the signaling pathway responsible for increasing GLP-1 production (86). In addition to the changes in glucose metabolism mediated by TGR5 activation, it is thought that this receptor may play a role in contributing to an overall shift towards a negative energy balance in the postoperative period, resulting in increased oxygen consumption and energy expenditure.

 

Table 1.  Possible Mechanisms of Bariatric Surgical Effect.

Induce satiety, reduce appetite, control hunger

Change of taste preference - less sweet foods; lower fat content 

Reduce caloric Intake

Diversion from proximal duodenum

Malabsorption of macronutrients

Increased energy expenditure; Increased diet-induced thermogenesis

Changes in the normal homeostatic adaptations to weight loss

Changes in the gut microbiome

Changes in plasma bile acid levels

Changes in gut hormones: candidates include the incretins (GLP-1; GIP), ghrelin, CCK, Peptide YY 

Central mechanisms: Modify hedonics; central appetite control; altered food preferences 

 

OUTCOMES AFTER BARIATRIC SURGERY

 

Mortality And Adverse Events

 

PERIOPERATIVE MORTALITY

 

Although there is often a perception that bariatric surgery should be reserved as treatment of last resort when all other approaches have not been effective, this is not supported by current data. Early data on morbidity following bariatric surgery was significantly higher but has remarkably decreased in part owing to the near universal adoption of the minimally invasive approach and advances in surgical techniques.

 

UK registry data looking at all primary bariatric operations from 2009-2016 demonstrated a 30-day mortality rate of 0.08% after discharge with an overall downward trend in mortality over the study period. Similarly, a population based study comparing 30 day, 90 day, and 1 year mortality rates demonstrated that bariatric surgery had the lowest mortality rate over all time periods compared to other common elective procedures including cholecystectomy, hysterectomy, and hip and knee arthroplasty (87, 88).

 

Early Adverse Events (<30 days)

 

Overall, the incidence of adverse events in the early postoperative period is low, with similar rates seen in randomized controlled trials comparing different procedures. In a review of more than 100,000 cases, the most common early adverse events were not directly related to the procedure, rather they were myocardial infarction and pulmonary embolus which were seen in 1.15 and 1.17% of cases respectively (89). These two complications were also associated with the highest mortality rate amongst those experiencing early postoperative complications (89).  Bleeding in the early postoperative period although potentially serious and requiring a return to operation room is uncommon with rates cited between 0.5% for SG and 1% following RYGB (90).

 

Looking specifically at procedure related complications, staple line leak following SG although uncommon remains a concern as it can be challenging to treat. A systematic review of 148 studies including more than 40,000 individuals found an overall leak rate of 1.5% (91). Several techniques have been identified to help reduce the risk of leaks including reinforcement and buttressing, however, no consensus exists as to the ideal approach. Although RYGB is seen as a technically challenging procedure due to the formation of two anastomoses, the risk of anastomotic leak is approximately 1% and an overall complication rate of 4.4% (92, 93). Similar rates of anastomotic leak have been reported following OAGB (94).

 

Late Adverse Events

 

Depending on the specific procedure several long-term medical problems can occur and include micronutrient deficiencies, dumping syndrome, hypoglycemia, cholelithiasis, nephrolithiasis, and osteoporosis and fractures. These medical problems are discussed in detail in the Endotext chapter entitled Medical Management of the Postoperative Bariatric Surgery Patient (95).

 

RYBG is the procedure with the greatest amount of data to support its long-term safety and efficacy. However, there are several well characterized long-term complications which may arise. Internal herniation, although rare, occurs in approximately 2-3%  following RYGB,   presenting with symptoms of small bowel obstruction, most commonly severe abdominal pain (96). It is important to have a high index of suspicion with these symptoms as definitive diagnosis based on imaging alone is unreliable and diagnostic laparoscopy should be considered (97). It is also worth noting that studies have found that up to 10% of individuals report chronic abdominal pain following RYGB which can be difficult to treat and may impact negatively on quality of life (98, 99).

 

One of the primary concerns in the long-term for patients undergoing SG is the possibility of developing de novo reflux or the worsening of pre-existing symptoms which can be difficult to treat (100). A RCT with 5-year follow-up demonstrated that 16% of patients following SG developed de novo reflux vs 4% undergoing RYGB (46). The SM-BOSS study also found a reflux remission rate of 60.4% compared to 25.0% following SG (101). In patients with severe reflux following SG, conversion to RYGB has been found to be effective in improving or treating symptoms (102). Given the concerns regarding the long-term risk of reflux and the development of Barrett’s esophagus, IFSO has issued guidance to recommend surveillance endoscopy one year postoperatively and then every 2-3 years thereafter (39).

 

Although there is more limited long-term data for patients undergoing OAGB, studies have shown that up to 41% of patients at 5 years reported gastro-esophageal reflux compared to 18% of those undergoing RYGB (103). Given the anatomical configuration, bile acid reflux and esophagitis has also been found endoscopically and although the long-term implications are unknown, it does raise concerns regarding future cancer risk (104).

 

Considering the nature of bariatric surgery, a commitment to long-term follow up, particularly focusing on nutritional supplementation and monitoring, is an essential element in the decision to proceed with an operation. However, the specific requirements are largely procedure specific and determined by the anatomical changes involved. Although relatively rarely performed DS is noteworthy not only for the weight loss and improvement in metabolic dysfunction it can result in relatively high-risk nutritional deficiencies compared to other procedures.

 

Weight Loss Outcomes

 

The ability to produce not only profound weight loss but weight loss which is sustained in the long term is essential to the success of bariatric as a treatment for obesity, which is recognized as a chronic and progressive disease. As such, the importance of studies can in some ways be categorized according to the length of their follow-up period when considering their clinical relevance or impact although clearly the soundness of the overall methodology is the primary determinant. Short-term studies (1 - 3 years) are plentiful but simply suggest potential effectiveness. Medium term studies (3 -10 years) are far fewer but are more assuring of real effectiveness. There is also now mounting longer term data emerging which further adds to the more than 25-year follow up of the landmark Swedish Obese Subjects (SOS) study.  

 

SHORT AND MEDIUM-TERM OUTCOMES

 

In recent years, there have been a number of RCTs with 5-year follow up periods which have emerged comparing weight loss between different procedures. The SM-BOSS study was a multi-center RCT comparing SG to RYGB with a primary end point comparing weight loss (101). At 5 years, the study did not show a statistically significant difference in excess BMI loss with -61.1% seen following SG compared to -68.3% following RYGB. Similarly, the SLEEVEPASS study also sought to compare SG to RYGB with the primary end point of weight loss measured as % excess weight loss (EWL) (105). The %EWL at 5 years was 49% after SG and 57% following RYGB, however, this difference was not statistically significant.  The individual participant data of both studies were merged with the results supporting a greater percentage BMI loss and resolution of hypertension with RYGB compared to SG but no difference in T2DM remission or quality of life at 5 years (106).

While none of the published data at present clearly supports the superiority of one procedure over another, there are two ongoing RCTs, ByBandSleeve and Bypass Sleeve Equipoise Trial (BEST) which may change this (107, 108).

 

LONG-TERM (>10 YEAR) OUTCOMES   

 

The prospective Swedish Obese Subjects (SOS) study was a key step in establishing the effect of bariatric surgery in people with obesity compared to usual care and now has more than 25 years of follow-up data. Follow-up data which was measured at 2, 10, 15, and 20 years demonstrated -23%, -17%, -16% and -18% mean changes in body weight in the surgery group compared to between 1% and -1% in the standard care group at these same time points (6). It is worth noting that this study included several procedures such as gastric banding and vertical banded gastroplasty which are no longer commonly performed.

 

Looking specifically at RYGB, there is mounting data to support the long-term weight loss produced by the procedure. A prospective study looking at 1156 participants undergoing RYGB over a 12 year follow up period found a -26.9% mean percent weight loss (45). The mean percent weight loss at 6 years was similar at -28% suggesting that weight remained relatively stable after the initial period of weight loss in the first year. These results were similar to a retrospective cohort analysis of 10-year weight loss outcomes following RYGB which showed a mean weight change of -28.6% (109).

 

Data looking at >10-year outcomes for SG is more limited, however, the 10-year observational follow up study of the SLEEVEPASS study showed a mean excess weight loss (EWL) of 43.5% (110). Similarly, high quality studies evaluating the >10-year weight loss outcomes are limited for OAGB given the relative recent adoption of the procedure. However, a retrospective single-center analysis of 385 participants showed a mean % total weight loss (TWL) of 33.4% (111). Although infrequently performed due to the high complication and reoperation rate, BPD/DS remains the procedure which produces the most substantial weight loss with studies showing a 10 year TWL of 40.7% (50).

 

Overall, it would appear that the effect of bariatric surgery, irrespective of the procedure performed, is a period of rapid weight loss followed by prolonged weight stability which is essential to improving long-term morbidity and mortality.

 

Type 2 Diabetes and Bariatric Surgery

 

Type 2 diabetes and obesity are inherently linked diseases and improvements in glycemic control has become one of the earliest indicators that surgical modification of the gastrointestinal tract could result in profound metabolic changes and indeed could help modify the underlying disease process. Early studies looking at jejuno-ileal bypass demonstrated a rapid normalization of blood glucose in the early postoperative period, prior to any weight loss, which first raised the possibility that these operations could produce changes in a weight loss independent manner. The 1995 observational study which showed a normalization of glycemia in more than 600 people with obesity and T2DM undergoing RYGB was one of the first to create widespread interest in the possibility of employing surgery as a treatment for T2DM (112). Having recognized this effect, the metabolic effects of bariatric surgery and its implications for T2DM have become one of the main focuses of research. RCTs comparing bariatric surgery to medical management alone have consistently demonstrated that it is more effective in improving glycemia and cardiovascular risk factors, irrespective of the procedure performed. As such, it is now endorsed by governing bodies world-wide as a central element of the treatment algorithm for people with T2DM and obesity (113).

 

The STAMPEDE trial was a RCT comparing the use of bariatric surgery, either SG or RYGB in conjunction to intensive medical therapy (IMT) compared to IMT alone (8). Over a 5 year follow up period, only 5% of the participants in the IMT group reached an HbA1c of <6% vs 23% undergoing SG and 29% following RYGB.  A further study involving three arms compared RYGB to BPD and medication. Over a ten year follow up period, T2DM remission rates were 25% for RYGB, 50% for BPD, and 5.5% for those treated with medication, however, that includes one participant who crossed over from the medical therapy group to surgery (7). Although the study showed that the remission rates decreased in both surgical groups between the 5 and 10-year follow up period and was lower particularly within the RYGB group, even in those who did relapse, glycemic control remained very good (HbA1c<7% or <53mmol/mol). The ARMSS-T2DM study a pooled analysis of four RCTs is currently the largest analysis with the longest follow up comparing bariatric surgery with medical treatment/lifestyle modification for T2DM (114). At 12 years, the between group difference in HbA1c levels was -1.1% with none of the patients in the medical group in remission compared to 12.7% in remission in the bariatric surgery group. The patients in the bariatric surgery group were also using fewer anti-diabetes medications.

 

REMISSION RATES IN RCTs

 

As of April 2024, there were 12 randomized controlled trials which irrespective of the type of surgery have consistently demonstrated the greater improvements in glycemic control and disease remission with bariatric surgery compared to medical therapy (8, 10-16, 18, 115-117) All studies have compared one or more bariatric procedures with a group having non-surgical treatment (NST). The difficulty in drawing firm conclusions is in part due to the studies not being directly comparable due to extensive heterogeneity, including different criteria for patient selection, treatment durations, and the use of various definitions of remission of diabetes, particularly the cut-off values for HbA1c. Nevertheless, they serve to provide key comparisons with NST, the current offering to more than 99% of people with diabetes.

The first of the studies was performed the Centre for Obesity Research and Education (CORE) in Melbourne (115). 60 patients were randomized to LAGB or NST. They were required to have a BMI between 30-40kg/m2 and to have been known to have T2DM duration < 2 years. At 2-year follow up, 73% of patients were in remission (defined as a HbA1c < 6.2%) following LAGB vs 13% in the NST group.

The STAMPEDE study randomized 150 patients to either intensive medical therapy (IMT) alone or IMT plus SG or RYGB. Remission was defined as an HbA1c <6.0%. At 5 years, remission rates were 5% in the IMT group vs 23% following SG and 29% following RYGB.

Mingrone et al report the longest follow up having completed a 10 year follow up of 60 patients to NST, BPD, or RYGB (7). They used criteria of HbA1c <6.5% and fasting glycemia <5.55mmol/L without medication for one year to define remission. Of all the patients who initially went into remission in the surgical group, 37.5% remained in remission at 10 years with 25% for RYGB and 50% for BPD. 20 of the 34 patients in the surgical group who were in remission at 2 years subsequently relapsed by 10 years, however, all maintained good glycemic control with a mean HbA1c of 6.7%. There were two patients within the medical group at 10 years who were in remission included in the intention to treat analysis. However, these were both patients who had surgery during the follow up period.

Ikamuddin et al (118), carried out a multicenter RCT with 120 patients undergoing either RYGB or having NST. The defined remission as HbA1c <6% at consecutive annual visits without the use of medications. None of the participants in the medical therapy group were in remission at any point during the study while 16% of the participants who underwent RYGB were in remission at year two and 7% at year five.

Courcoulas et al randomized 69 patients into 3 groups – NST, RYGB, and LAGB (13). They defined remission as HbA1c< 6.5% and FBG <125mg/dL. At five years, the reported remission rates were 30% for the RYGB group and 19% for LAGB while none of the patients in the medical group were considered to be in remission.

 

A Summary of the RCTs to date comparing the long-term efficacy of metabolic surgery compared to medication or lifestyle modification for T2DM can be seen in Table 2 (Adapted from Courcoulas et al (114)).

 

Table 2. RCTs Comparing Long-Term Efficacy of Metabolic Surgery vs. Medication or Lifestyle

Study

No of participants

Follow-up (months)

Study design

Remission criteria

Remission* (%)

P value

Parikh (8)

57

6

RYGB/LAGB/SG vcontrol

HbA1c<6.5%

65 v 0

0.001

Liang (9)

101

12

RYGB v control

HbA1c<6.5%

90 v 0

<0.001

Halperin (10)

38

12

RYGB v control

HbA1c<6.5%

58 v 16

0.03

Ding (11)

45

12

LAGB v control

HbA1c<6.5%

33 v 23

0.46

Cummings (12)

43

12

RYGB v control

HbA1c<6.0%

60 v 5.9

0.002

Dixon (13)

60

24

LAGB v control

HbA1c<6.2%

73 v 13

<0.001

Wentworth (14)

51

24

LAGB v control

FBG <7.0 mmol/L

52 v 8

0.001

Simonson (15)

45

36

LAGB v control

HbA1c<6.5% and FBG <126 mg/dL

13 v 5

0.60

Kirwan (16)

316

36

RYGB/LAGB/SG vcontrol

HbA1c≤6.5%

37.5 v 2.6

<0.001

Schauer (17)

150

60

RYGB v SG v control

HbA1c≤6.0%

22 v 15 v 0

<0.05

Ikramuddin (18)

120

60

RYGB v control

HbA1c<6.0%

v 0

0.01

Courcoulas (19)

69

60

RYGB v LAGB vcontrol

HbA1c<6.5% and FBG <125 mg/dL

30 v 19 v 0

0.02

Mingrone (20)

60

120

RYGB v BPD vcontrol

HbA1c<6.5% and FBG <100 mg/dL

25 v 50 v 5.5

0.008

V= versus

DURABILITY OF REMISSION

 

As long-term evidence from RCTs has emerged, it would support that some of the metabolic effects appear to diminish over time, which perhaps in part reflects the underlying nature of diabetes, which is understood as both chronic and progressive.  The SAMPEDE study found a three-year remission rate following RYGB of 38% which fell to 22% at five-years (8, 119). The suggestion that the metabolic effects of RYGB are attenuated with time were supported by the RCT with the longest follow up which found the remission rate fell from 75% at 2 years to 37% at 5 years  and 25% at 10 years (7).

The effects of SG were examined in the STAMPEDE study which showed a reduction in remission rates  from 37% to 24% between years 1-3 and 15% at 5 years (8). The initial remission rates as well as long-term remission have been demonstrated to be highest following BPD with 63% in remission at 5 years and 50% at 10 years (7).

 

MACROVASCULAR AND MICROVASCULAR COMPLICATIONS  

 

The durability of remission and the reduction of complications has been demonstrated at a fifteen year follow up in the SOS study, a prospective matched cohort study (120). They reported that the remission rate for the surgical group, predominantly gastroplasty, at two years was 72% and at 15 years was 31%. This remission rate, though reduced with time, was significantly better than the 6.5% in the control group, indicating an important long-term benefit. Furthermore, and arguably more important than the remission rate, they found the number macrovascular and microvascular complications of diabetes were fewer at 15 years in the surgical group than in the controls.  

 

OTHER HEALTH OUTCOMES AFTER BARIATRIC SURGERY

 

Cancer

 

Obesity has been demonstrated to not only be a risk factor for the development of certain types of cancer but may also increase the risk of mortality associated with cancer. The SOS study was the first interventional trial which demonstrated a decreased incidence of cancer,  amongst patients undergoing bariatric surgery compared to matched controls (121). Since then, there has been increased recognition of the possibility that weight loss mediated by bariatric surgery may reduce both the incidence of cancers as well as improving long term outcomes. A subsequent matched cohort study, the SPLENDID study demonstrated reduced cumulative incidence of mortality related to 13 types of cancer in patients undergoing bariatric surgery compared to the non-surgical group with an adjusted HR of 0.52 (122). Further studies examining the effect of bariatric surgery specifically on the incidence of non-hormonal cancers demonstrated a nearly 50% reduction in patients undergoing bariatric surgery compared to matched controls (123).

 

Cardiovascular Disease

 

Obesity is one of the most important modifiable risk factors in the prevention of cardiovascular disease. However, until the publication of several critical studies, what was not clear was whether or not weight loss achieved through surgical means could modify individual cardiovascular risk factors and produce a resultant improvement in mortality. There are now more than 30 observational studies which have examined primary prevention of cardiovascular disease, demonstrating  reduced morbidity and mortality in patients with obesity undergoing surgery compared to usual care. The SOS study which has more than 30 years of follow up data has demonstrated the long-term benefits of bariatric surgery on reducing cardiovascular risk, demonstrating a 30% reduction in death from cardiovascular disease (6). One of the largest observational studies to date including nearly 14,000 patients found a 62% reduction in new onset heart failure, 31% reduction in myocardial infarction rates, 33% reduction in stroke, and a 22% reduction in atrial fibrillation (124).

 

Liver

 

The term metabolic dysfunction-associated steatotic liver disease (MASLD) is a broad categorization of a spectrum of liver diseases ranging from hepatic steatosis to metabolic dysfunction-associated steatohepatitis (MASH, which can progress to cirrhosis and end-stage liver disease. MASLD is now the most common cause of chronic liver disease globally; however, its implications have up until recently been largely underappreciated due to the fact that many patients are asymptomatic. In patients with obesity, the incidence of disease is far higher, and the entire spectrum of disease is seen, with up to 80% having steatosis, 37% MASH, 23% fibrosis, and 5.8% cirrhosis (125).

 

The majority of patients with MASLD are asymptomatic and a significant proportion will also be biochemically normal; thus, a diagnosis of MASLD can only be made on the basis of imaging studies. It is difficult to monitor the progression of MASLD, particularly in those with normal liver enzymes; however, one-third of patients with early-stage MASH will progress to fibrosis within five to ten years of diagnosis (126). Given the growing number of individuals affected by obesity and MASLD, it is anticipated that MASH will become the leading indication for liver transplantation (127). An increasing body of evidence supports the consideration of MASH and fibrosis as a significant obesity-related complication and recommend its inclusion as an indication for bariatric/metabolic surgery, given their potential reversibility with substantial weight loss mediated by surgery.

 

A meta-analysis of 21 studies, including over 2000 patients undergoing bariatric/metabolic procedures, found a resolution of steatosis or steatohepatitis and biochemical normalization in most patients (128). The critical finding was that in those with severe disease and established fibrosis there was a reversal of these changes in 30% of patients.

 

Dyslipidemia of Obesity

 

Increased fasting triglyceride and decreased high-density lipoprotein (HDL)-cholesterol concentrations characterize the dyslipidemia of obesity and insulin resistance (129). This dyslipidemia pattern is highly atherogenic and a common pattern associated with coronary artery disease (130). Bariatric surgery produces substantial decreases in fasting triglyceride levels, a normalization of HDL, and an improved total cholesterol–to–HDL-cholesterol ratio (131-133).  Although elevation of total cholesterol is not purely obesity-driven, evidence would support that procedures such as OAGB and RYGB (134) can produce significant improvements in total cholesterol levels(135).

 

Hypertension

 

There is evidence of a reduction in both systolic and diastolic blood pressure (BP) following weight loss in association with bariatric surgery (136). The GATEWAY study examined the long-term effects of bariatric surgery on hypertension (HTN) control and remission. The RCT involved 100 participants comparing 5-year outcomes in people with HTN on medical therapy alone vs RYBG and medical therapy. RYBG was associated with HTN remission in 46.9% of participants compared to 2.4% of those in the medical therapy group. The number of medications required to maintain BP<140/90mmHg was reduced by 80.7% following RYGB (137).

 

Asthma

 

There is a positive relationship between asthma and obesity with a possible dose-response effect (138, 139). The Nurses' Health study identified a five-fold increase in the relative risk of asthma with a weight gain of 25kg from age 18 when compared to a weight stable group (140).  In patients with obesity, outcomes from asthma are worse with more patients with poor control despite maximal therapy, more frequent exacerbations, and poorer quality of life (141). Given the link between sustained weight loss and improvements in asthma, there has been significant interest in the possible role of surgery in the management of patients with obesity and asthma. A systematic review of studies involving SG, LAGB, RYGB and BPD described a consistent improvement in pulmonary function tests following bariatric surgery as well as quality of life (142).  

 

Obstructive Sleep Apnea

 

Obstructive sleep apnea is characterized by recurrent episodes of upper airway obstruction and hypoxia during sleep due to abnormal airway collapsibility. Excess weight is the strongest independent risk factor in the development of obstructive sleep apnea, with a 10% change in body weight associated with a 30% worsening in the apnea-hypopnea index (AHI), one of the primary indexes for measuring severity (143). A systematic review of 69 studies found that irrespective of the procedure performed, bariatric surgery resulted in a significant improvement in most patients. These findings were supported by a further meta-analysis which found 83.6% of patients reporting resolution or improvement of symptoms (144). Although there is evidence demonstrating significant improvements with regard to the AHI, it is essential to note that despite this, most patients following treatment remain within the moderate to severe range. Bariatric surgery should not be undertaken with the goal of cure in mind, but rather to control or reduce disease severity.

 

IMPROVEMENT IN QUALITY OF LIFE (QOL)

 

Several studies clearly demonstrate major QOL improvements following bariatric procedures (145-149).  A large prospective study of QOL after bariatric surgery employed the Medical Outcomes Trust Short Form-36 (SF-36). The SF-36 is a reliable, broadly used instrument that has been validated in people living with obesity. In this study, 459 participants with complex obesity were found to have lower scores compared with a control population for all 8 aspects of QOL measured, particularly the physical health scores. Weight loss provided a dramatic and sustained improvement in all measures of the SF-36. Improvement was greater in those with more preoperative disability, however, the extent of weight loss was not a good predictor of improved QOL. Even for patients who required revisional surgery during the follow-up period, they found a similar improvement in measures of QOL. Similar improvements in QOL have been demonstrated in patients having LAGB for previously failed gastric stapling (150).

 

IMPROVEMENT IN SURVIVAL

 

The ultimate test of effectiveness of a treatment is the reduction of mortality. There is a growing body of evidence on long-term mortality of people who have undergone bariatric surgery compared to people with obesity who have not had surgery which shows improved survival. The SOS study demonstrated that over a median follow up period of 24 years that there was a lower risk of mortality in the people who had undergone surgery compared to the matched controls which resulted in a median increase in life expectancy by 2.4 years (6). The risk of death from both cardiovascular risk but also cancer was lower in the patients who had undergone surgery. In spite of these improvements, the group of patients who had undergone surgery still had an 8-year shorter life expectancy relative to the general population with the leading cause of death being cardiovascular disease.

 

A systematic review and meta-analysis of 16 matched cohort studies and one prospective controlled trial found that there is a median improvement in life expectancy of 6.1 years in patients who had undergone bariatric surgery compared to usual care. Although both participants with and without T2DM demonstrated an increased overall survival, the treatment effect was considerably larger for those with T2DM with an increased life expectancy of 9.3 years compared to the non-surgical group. The number needed to treat to prevent one additional death in 10 years was 8.4 for people with T2DM compared to 29.8 for those without (151).

 

FUTURE DIRECTIONS COMBINING MEDICATIONS WITH SURGERY  

 

There has long been a focus on comparing outcomes for the treatments of obesity and related diseases, particularly T2DM looking at the use of either surgery or medical therapy. Although studies have consistently demonstrated the efficacy of surgery in achieving long-term reductions in weight and improvements in diabetes, it is clear from our understanding of the disease process itself that obesity is a chronic and progressive disease which will over time require treatment intensification. Looking to the management of other diseases, including cancer, surgery is often viewed as a means of establishing disease control with adjunctive medical therapies to sustain this effect in the long-term (152, 153).

 

The concept of utilizing medication with bariatric surgery has been demonstrated to be both safe and effective as demonstrated by the STAMPEDE trial in which both RYGB and SG were combined with IMT.  Impressive advances in pharmacotherapy initially developed as anti-diabetes medications but equally recognized for its efficacy in producing weight loss in people without diabetes has made the potential for employing multi-modal care even more promising, improving long term disease control and remission.

 

WHO SHOULD BE CONSIDERED FOR BARIATRIC SURGERY?

For many years, the criteria for bariatric surgery were largely based on the National Institutes of Health (NIH) guidelines issued more than 30 years ago in 1991 (154). These guidelines were highly constrained by BMI cut offs and based on surgical outcomes from the era of open surgery. Having recognized the significant advances in surgery, safety outcomes as well as our greater understanding of the disease process, related disease, and mechanisms of action of surgery, IFSO and ASMBS jointly released updated guidelines in 2022 (1).

 

Major changes to the previous guidelines include:

 

  • Metabolic and bariatric surgery (MBS) is recommended for individuals with BMI>35kg/m2 regardless of the presence of obesity related disease.
  • MBS should be considered for individuals with a BMI 30-34.9kg/m2 with metabolic disease.
  • BMI thresholds should be adjusted in the Asian population such that a BMI>25kg/m2 suggests clinical obesity and individuals with a BMI>27.5kg/m2 are offered MBS.
  • Appropriately selected children and adolescents should be considered for MBS.

NEEDS AND CHALLENGES

 

Bariatric surgery should be viewed as a process of care that begins with a careful initial clinical evaluation and detailed patient education, continuing beyond the operative procedure through a permanent follow-up. The increasing number of safe and effective bariatric procedures should be seen as part of a growing number of treatments for obesity which may need to be combined in a stepwise and progressive approach to achieve long-term disease control. Improving care for people with obesity undergoing bariatric surgery is an evolving process as our understanding of the disease itself and its implications for people living with obesity deepens. Future areas which remain to be improved include

 

  • A better understanding of the mechanisms of action of each procedure is required to enable optimum surgery and follow up.
  • Accurate and comprehensive data management. Bariatric surgical procedures should be incorporated into national clinical registries to enable objective assessment of the risks and benefits across the community.
  • More randomized controlled trials to improve our understanding of the long-term outcomes of different procedures and their implications for control of obesity related co-morbidity
  • Improved evidence-based decision-making pathways to help determine who would benefit most from bariatric surgery.
  • High quality clinical trials looking at the use of multimodal care, combining bariatric surgery with pharmacotherapy to improve long-term disease remission and control.
  • Definition of safe and efficient pathways for assessment, surgery. and post-surgery care.
  • Greater focus on understanding the implications of obesity stigma, how it affects patient care and what clinicians can do to address these inequalities.

Bariatric surgery has the potential to be one of the most important and powerful treatment approaches in medicine. High quality clinical care, good science, and comprehensive data management will allow optimal application of this approach to be realized.

 

REFERENCES

 

  1. Eisenberg D, Shikora SA, Aarts E, Aminian A, Angrisani L, Cohen RV, et al. 2022 American Society of Metabolic and Bariatric Surgery (ASMBS) and International Federation for the Surgery of Obesity and Metabolic Disorders (IFSO) Indications for Metabolic and Bariatric Surgery. Obes Surg. 2023;33(1):3-14.
  2. Lean MEJ, Leslie WS, Barnes AC, Brosnahan N, Thom G, McCombie L, et al. Durability of a primary care-led weight-management intervention for remission of type 2 diabetes: 2-year results of the DiRECT open-label, cluster-randomised trial. Lancet Diabetes Endocrinol. 2019;7(5):344-55.
  3. Sjöström L, Narbro K, Sjöström CD, Karason K, Larsson B, Wedel H, et al. Effects of bariatric surgery on mortality in Swedish obese subjects. N Engl J Med. 2007;357(8):741-52.
  4. Pournaras DJ, Aasheim ET, Bueter M, Ahmed AR, Welbourn R, Olbers T, et al. Effect of bypassing the proximal gut on gut hormones involved with glycemic control and weight loss. Surg Obes Relat Dis. 2012;8(4):371-4.
  5. Pournaras DJ, le Roux CW. Obesity, gut hormones, and bariatric surgery. World J Surg. 2009;33(10):1983-8.
  6. Carlsson LMS, Sjöholm K, Jacobson P, Andersson-Assarsson JC, Svensson PA, Taube M, et al. Life Expectancy after Bariatric Surgery in the Swedish Obese Subjects Study. N Engl J Med. 2020;383(16):1535-43.
  7. Mingrone G, Panunzi S, De Gaetano A, Guidone C, Iaconelli A, Capristo E, et al. Metabolic surgery versus conventional medical therapy in patients with type 2 diabetes: 10-year follow-up of an open-label, single-centre, randomised controlled trial. Lancet. 2021;397(10271):293-304.
  8. Schauer PR, Bhatt DL, Kirwan JP, Wolski K, Aminian A, Brethauer SA, et al. Bariatric Surgery versus Intensive Medical Therapy for Diabetes - 5-Year Outcomes. N Engl J Med. 2017;376(7):641-51.
  9. Kashyap SR, Bhatt DL, Wolski K, Watanabe RM, Abdul-Ghani M, Abood B, et al. Metabolic effects of bariatric surgery in patients with moderate obesity and type 2 diabetes: analysis of a randomized control trial comparing surgery with intensive medical treatment. Diabetes Care. 2013;36(8):2175-82.
  10. Ding SA, Simonson DC, Wewalka M, Halperin F, Foster K, Goebel-Fabbri A, et al. Adjustable Gastric Band Surgery or Medical Management in Patients With Type 2 Diabetes: A Randomized Clinical Trial. J Clin Endocrinol Metab. 2015;100(7):2546-56.
  11. Halperin F, Ding SA, Simonson DC, Panosian J, Goebel-Fabbri A, Wewalka M, et al. Roux-en-Y gastric bypass surgery or lifestyle with intensive medical management in patients with type 2 diabetes: feasibility and 1-year results of a randomized clinical trial. JAMA Surg. 2014;149(7):716-26.
  12. Ikramuddin S, Billington CJ, Lee WJ, Bantle JP, Thomas AJ, Connett JE, et al. Roux-en-Y gastric bypass for diabetes (the Diabetes Surgery Study): 2-year outcomes of a 5-year, randomised, controlled trial. The lancet Diabetes & endocrinology. 2015;3(6):413-22.
  13. Courcoulas AP, Goodpaster BH, Eagleton JK, Belle SH, Kalarchian MA, Lang W, et al. Surgical vs medical treatments for type 2 diabetes mellitus: a randomized clinical trial. JAMA surgery. 2014;149(7):707-15.
  14. Simonson DC, Halperin F, Foster K, Vernon A, Goldfine AB. Clinical and Patient-Centered Outcomes in Obese Patients With Type 2 Diabetes 3 Years After Randomization to Roux-en-Y Gastric Bypass Surgery Versus Intensive Lifestyle Management: The SLIMM-T2D Study. Diabetes Care. 2018;41(4):670-9.
  15. Cummings DE, Arterburn DE, Westbrook EO, Kuzma JN, Stewart SD, Chan CP, et al. Gastric bypass surgery vs intensive lifestyle and medical intervention for type 2 diabetes: the CROSSROADS randomised controlled trial. Diabetologia. 2016;59(5):945-53.
  16. Wentworth JM, Playfair J, Laurie C, Ritchie ME, Brown WA, Burton P, et al. Multidisciplinary diabetes care with and without bariatric surgery in overweight people: a randomised controlled trial. Lancet Diabetes Endocrinol. 2014;2(7):545-52.
  17. Dixon JB, O'Brien PE, Playfair J, Chapman L, Schachter LM, Skinner S, et al. Adjustable gastric banding and conventional therapy for type 2 diabetes: a randomized controlled trial. JAMA. 2008;299(3):316-23.
  18. Liang Z, Wu Q, Chen B, Yu P, Zhao H, Ouyang X. Effect of laparoscopic Roux-en-Y gastric bypass surgery on type 2 diabetes mellitus with hypertension: a randomized controlled trial. Diabetes Res Clin Pract. 2013;101(1):50-6.
  19. Holman RR, Paul SK, Bethel MA, Matthews DR, Neil HA. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med. 2008;359(15):1577-89.
  20. Kremen A, Linner JH, Nelson CH. An experimental evaluation of the nutritional importance of proximal and distal small intestine. Annals of Surgery. 1954;140:439-44.
  21. Jorizzo JL, Apisarnthanarax P, Subrt P, Hebert AA, Henry JC, Raimer SS, et al. Bowel-bypass syndrome without bowel bypass. Bowel-associated dermatosis-arthritis syndrome. Archives of Internal Medicine. 1983;143(3):457-61.
  22. O'Leary JP. Hepatic complications of jejunoileal bypass. Seminars in Liver Disease. 1983;3(3):203-15.
  23. Corrodi P. Jejunoileal bypass: change in the flora of the small intestine and its clinical impact. Reviews of Infectious Diseases. 1984;6 (Suppl 1):S80-4.
  24. Parfitt AM, Podenphant J, Villanueva AR, Frame B. Metabolic bone disease with and without osteomalacia after intestinal bypass surgery: a bone histomorphometric study. Bone. 1985;6(4):211-20.
  25. DeWind LT, Payne JH. Intestinal bypass surgery for morbid obesity. Long-term results. Journal of the American Medical Association. 1976;236(20):2298-301.
  26. Mason EE, Ito C. Gastric bypass in obesity. Surgical Clinics of North America. 1967;47(6):1345-51.
  27. Printen KJ, Mason EE. Gastric surgery for relief of morbid obesity. Archices of Surgery. 1973;106(4):428-31.
  28. Mason EE. Vertical banded gastroplasty for obesity. Archices of Surgery. 1982;117(5):701-6.
  29. Hall JC, Watts JM, O'Brien PE, Dunstan RE, Walsh JF, Slavotinek AH, et al. Gastric surgery for morbid obesity. The Adelaide Study. Annals of Surgery. 1990;211(4):419-27.
  30. Pories WJ, Flickinger EG, Meelheim D, Van Rij AM, Thomas FT. The effectiveness of gastric bypass over gastric partition in morbid obesity: consequence of distal gastric and duodenal exclusion. Annals of Surgery. 1982;196(4):389-99.
  31. Sugerman HJ, Starkey JV, Birkenhauer R. A randomized prospective trial of gastric bypass versus vertical banded gastroplasty for morbid obesity and their effects on sweets versus non- sweets eaters. Annals of Surgery. 1987;205(6):613-24.
  32. Sugerman HJ, Londrey GL, Kellum JM, Wolf L, Liszka T, Engle KM, et al. Weight loss with vertical banded gastroplasty and Roux-Y gastric bypass for morbid obesity with selective versus random assignment. American Journal of Surgery. 1989;157(1):93-102.
  33. Scopinaro N, Gianetta E, Civalleri D, Bonalumi U, Bachi V. Bilio-pancreatic bypass for obesity: II. Initial experience in man. British Journal of Surgery. 1979;66(9):618-20.
  34. Scopinaro N, Gianetta E, Adami GF, Friedman D, Traverso E, Marinari GM, et al. Biliopancreatic diversion for obesity at eighteen years. Surgery. 1996;119(3):261-8.
  35. Marceau P, Biron S, Bourque RA, Potvin M, Hould FS, Simard S. Biliopancreatic diversion with a new type of gastrectomy. Obesity Surgery. 1993;3(1):29-35.
  36. Marceau P, Hould FS, Simard S, Lebel S, Bourque RA, Potvin M, et al. Biliopancreatic diversion with duodenal switch. World Journal of Surgery. 1998;22(9):947-54.
  37. Brown WA, Liem R, Al-Sabah S, Anvari M, Boza C, Cohen RV, et al. Metabolic Bariatric Surgery Across the IFSO Chapters: Key Insights on the Baseline Patient Demographics, Procedure Types, and Mortality from the Eighth IFSO Global Registry Report. Obes Surg. 2024;34(5):1764-77.
  38. Bhandari M, Fobi MAL, Buchwald JN, Group: BMSSBW. Standardization of Bariatric Metabolic Procedures: World Consensus Meeting Statement. Obes Surg. 2019;29(Suppl 4):309-45.
  39. Brown WA, Johari Halim Shah Y, Balalis G, Bashir A, Ramos A, Kow L, et al. IFSO Position Statement on the Role of Esophago-Gastro-Duodenal Endoscopy Prior to and after Bariatric and Metabolic Surgery Procedures. Obes Surg. 2020;30(8):3135-53.
  40. Zakeri R, Batterham RL. Potential mechanisms underlying the effect of bariatric surgery on eating behaviour. Curr Opin Endocrinol Diabetes Obes. 2018;25(1):3-11.
  41. Kalinowski P, Paluszkiewicz R, Wróblewski T, Remiszewski P, Grodzicki M, Bartoszewicz Z, et al. Ghrelin, leptin, and glycemic control after sleeve gastrectomy versus Roux-en-Y gastric bypass-results of a randomized clinical trial. Surg Obes Relat Dis. 2017;13(2):181-8.
  42. O'Brien PE, MacDonald L, Anderson M, Brennan L, Brown WA. Long-term outcomes after bariatric surgery: fifteen-year follow-up of adjustable gastric banding and a systematic review of the bariatric surgical literature. Ann Surg. 2013;257(1):87-94.
  43. Himpens J, Cadière GB, Bazi M, Vouche M, Cadière B, Dapri G. Long-term outcomes of laparoscopic adjustable gastric banding. Arch Surg. 2011;146(7):802-7.
  44. Stefanidis A, Forrest N, Brown WA, Dixon JB, O'Brien PB, Juliane Kampe, et al. An investigation of the neural mechanisms underlying the efficacy of the adjustable gastric band. Surg Obes Relat Dis. 2016;12(4):828-38.
  45. Adams TD, Davidson LE, Litwin SE, Kim J, Kolotkin RL, Nanjee MN, et al. Weight and Metabolic Outcomes 12 Years after Gastric Bypass. N Engl J Med. 2017;377(12):1143-55.
  46. Biter LU, 't Hart JW, Noordman BJ, Smulders JF, Nienhuijs S, Dunkelgrün M, et al. Long-term effect of sleeve gastrectomy vs Roux-en-Y gastric bypass in people living with severe obesity: a phase III multicentre randomised controlled trial (SleeveBypass). Lancet Reg Health Eur. 2024;38:100836.
  47. Stenberg E, Szabo E, Ågren G, Ottosson J, Marsk R, Lönroth H, et al. Closure of mesenteric defects in laparoscopic gastric bypass: a multicentre, randomised, parallel, open-label trial. Lancet. 2016;387(10026):1397-404.
  48. Robert M, Espalieu P, Pelascini E, Caiazzo R, Sterkers A, Khamphommala L, et al. Efficacy and safety of one anastomosis gastric bypass versus Roux-en-Y gastric bypass for obesity (YOMEGA): a multicentre, randomised, open-label, non-inferiority trial. Lancet. 2019;393(10178):1299-309.
  49. Mahawar KK, Parmar C, Graham Y. One anastomosis gastric bypass: key technical features, and prevention and management of procedure-specific complications. Minerva Chir. 2019;74(2):126-36.
  50. Bolckmans R, Himpens J. Long-term (>10 Yrs) Outcome of the Laparoscopic Biliopancreatic Diversion With Duodenal Switch. Ann Surg. 2016;264(6):1029-37.
  51. Sánchez-Pernaute A, Rubio Herrera MA, Pérez-Aguirre E, García Pérez JC, Cabrerizo L, Díez Valladares L, et al. Proximal duodenal-ileal end-to-side bypass with sleeve gastrectomy: proposed technique. Obes Surg. 2007;17(12):1614-8.
  52. Torres A, Rubio MA, Ramos-Leví AM, Sánchez-Pernaute A. Cardiovascular Risk Factors After Single Anastomosis Duodeno-Ileal Bypass with Sleeve Gastrectomy (SADI-S): a New Effective Therapeutic Approach? Curr Atheroscler Rep. 2017;19(12):58.
  53. Surve A, Cottam D, Medlin W, Richards C, Belnap L, Horsley B, et al. Long-term outcomes of primary single-anastomosis duodeno-ileal bypass with sleeve gastrectomy (SADI-S). Surg Obes Relat Dis. 2020;16(11):1638-46.
  54. Sánchez-Pernaute A, Herrera MA, Pérez-Aguirre ME, Talavera P, Cabrerizo L, Matía P, et al. Single anastomosis duodeno-ileal bypass with sleeve gastrectomy (SADI-S). One to three-year follow-up. Obes Surg. 2010;20(12):1720-6.
  55. Dijkhorst PJ, Boerboom AB, Janssen IMC, Swank DJ, Wiezer RMJ, Hazebroek EJ, et al. Failed Sleeve Gastrectomy: Single Anastomosis Duodenoileal Bypass or Roux-en-Y Gastric Bypass? A Multicenter Cohort Study. Obes Surg. 2018;28(12):3834-42.
  56. Ryder REJ, Yadagiri M, Burbridge W, Irwin SP, Gandhi H, Bashir T, et al. Duodenal-jejunal bypass liner for the treatment of type 2 diabetes and obesity: 3-year outcomes in the First National Health Service (NHS) EndoBarrier Service. Diabet Med. 2022;39(7):e14827.
  57. Pournaras DJ, le Roux CW. Are bile acids the new gut hormones? Lessons from weight loss surgery models. Endocrinology. 2013;154(7):2255-6.
  58. Karamanakos SN, Vagenas K, Kalfarentzos F, Alexandrides TK. Weight loss, appetite suppression, and changes in fasting and postprandial ghrelin and peptide-YY levels after Roux-en-Y gastric bypass and sleeve gastrectomy: a prospective, double blind study. Ann Surg. 2008;247(3):401-7.
  59. Krashes MJ, Koda S, Ye C, Rogan SC, Adams AC, Cusher DS, et al. Rapid, reversible activation of AgRP neurons drives feeding behavior in mice. J Clin Invest. 2011;121(4):1424-8.
  60. Sohn JW. Network of hypothalamic neurons that control appetite. BMB Rep. 2015;48(4):229-33.
  61. Farooqi IS, Keogh JM, Yeo GS, Lank EJ, Cheetham T, O'Rahilly S. Clinical spectrum of obesity and mutations in the melanocortin 4 receptor gene. N Engl J Med. 2003;348(12):1085-95.
  62. Sahu A. Leptin signaling in the hypothalamus: emphasis on energy homeostasis and leptin resistance. Front Neuroendocrinol. 2003;24(4):225-53.
  63. Flier JS. Clinical review 94: What's in a name? In search of leptin's physiologic role. J Clin Endocrinol Metab. 1998;83(5):1407-13.
  64. Considine RV, Sinha MK, Heiman ML, Kriauciunas A, Stephens TW, Nyce MR, et al. Serum immunoreactive-leptin concentrations in normal-weight and obese humans. N Engl J Med. 1996;334(5):292-5.
  65. Blüher S, Mantzoros CS. Leptin in humans: lessons from translational research. Am J Clin Nutr. 2009;89(3):991S-7S.
  66. Nakazato M, Murakami N, Date Y, Kojima M, Matsuo H, Kangawa K, et al. A role for ghrelin in the central regulation of feeding. Nature. 2001;409(6817):194-8.
  67. le Roux CW, Neary NM, Halsey TJ, Small CJ, Martinez-Isla AM, Ghatei MA, et al. Ghrelin does not stimulate food intake in patients with surgical procedures involving vagotomy. J Clin Endocrinol Metab. 2005;90(8):4521-4.
  68. Tong J, Prigeon RL, Davis HW, Bidlingmaier M, Kahn SE, Cummings DE, et al. Ghrelin suppresses glucose-stimulated insulin secretion and deteriorates glucose tolerance in healthy humans. Diabetes. 2010;59(9):2145-51.
  69. Cummings DE, Weigle DS, Frayo RS, Breen PA, Ma MK, Dellinger EP, et al. Plasma ghrelin levels after diet-induced weight loss or gastric bypass surgery. N Engl J Med. 2002;346(21):1623-30.
  70. le Roux CW, Patterson M, Vincent RP, Hunt C, Ghatei MA, Bloom SR. Postprandial plasma ghrelin is suppressed proportional to meal calorie content in normal-weight but not obese subjects. J Clin Endocrinol Metab. 2005;90(2):1068-71.
  71. Baggio LL, Drucker DJ. Biology of incretins: GLP-1 and GIP. Gastroenterology. 2007;132(6):2131-57.
  72. Deane AM, Nguyen NQ, Stevens JE, Fraser RJ, Holloway RH, Besanko LK, et al. Endogenous glucagon-like peptide-1 slows gastric emptying in healthy subjects, attenuating postprandial glycemia. J Clin Endocrinol Metab. 2010;95(1):215-21.
  73. Rocca AS, Brubaker PL. Role of the vagus nerve in mediating proximal nutrient-induced glucagon-like peptide-1 secretion. Endocrinology. 1999;140(4):1687-94.
  74. Holz GG, Kühtreiber WM, Habener JF. Pancreatic beta-cells are rendered glucose-competent by the insulinotropic hormone glucagon-like peptide-1(7-37). Nature. 1993;361(6410):362-5.
  75. Vilsbøll T. The effects of glucagon-like peptide-1 on the beta cell. Diabetes Obes Metab. 2009;11 Suppl 3:11-8.
  76. Ørgaard A, Holst JJ. The role of somatostatin in GLP-1-induced inhibition of glucagon secretion in mice. Diabetologia. 2017;60(9):1731-9.
  77. Tang-Christensen M, Vrang N, Larsen PJ. Glucagon-like peptide containing pathways in the regulation of feeding behaviour. Int J Obes Relat Metab Disord. 2001;25 Suppl 5:S42-7.
  78. Batterham RL, Cowley MA, Small CJ, Herzog H, Cohen MA, Dakin CL, et al. Gut hormone PYY(3-36) physiologically inhibits food intake. Nature. 2002;418(6898):650-4.
  79. Abbott CR, Monteiro M, Small CJ, Sajedi A, Smith KL, Parkinson JR, et al. The inhibitory effects of peripheral administration of peptide YY(3-36) and glucagon-like peptide-1 on food intake are attenuated by ablation of the vagal-brainstem-hypothalamic pathway. Brain Res. 2005;1044(1):127-31.
  80. Sloth B, Holst JJ, Flint A, Gregersen NT, Astrup A. Effects of PYY1-36 and PYY3-36 on appetite, energy intake, energy expenditure, glucose and fat metabolism in obese and lean subjects. Am J Physiol Endocrinol Metab. 2007;292(4):E1062-8.
  81. Guo Y, Ma L, Enriori PJ, Koska J, Franks PW, Brookshire T, et al. Physiological evidence for the involvement of peptide YY in the regulation of energy homeostasis in humans. Obesity (Silver Spring). 2006;14(9):1562-70.
  82. le Roux CW, Batterham RL, Aylwin SJ, Patterson M, Borg CM, Wynne KJ, et al. Attenuated peptide YY release in obese subjects is associated with reduced satiety. Endocrinology. 2006;147(1):3-8.
  83. Batterham RL, Cohen MA, Ellis SM, Le Roux CW, Withers DJ, Frost GS, et al. Inhibition of food intake in obese subjects by peptide YY3-36. N Engl J Med. 2003;349(10):941-8.
  84. Claudel T, Staels B, Kuipers F. The Farnesoid X receptor: a molecular link between bile acid and lipid and glucose metabolism. Arterioscler Thromb Vasc Biol. 2005;25(10):2020-30.
  85. Ryan KK, Tremaroli V, Clemmensen C, Kovatcheva-Datchary P, Myronovych A, Karns R, et al. FXR is a molecular target for the effects of vertical sleeve gastrectomy. Nature. 2014;509(7499):183-8.
  86. Bozadjieva N, Heppner KM, Seeley RJ. Targeting FXR and FGF19 to Treat Metabolic Diseases-Lessons Learned From Bariatric Surgery. Diabetes. 2018;67(9):1720-8.
  87. Alam M, Bhanderi S, Matthews JH, McNulty D, Pagano D, Small P, et al. Mortality related to primary bariatric surgery in England. BJS Open. 2017;1(4):122-7.
  88. Böckelman C, Hahl T, Victorzon M. Mortality Following Bariatric Surgery Compared to Other Common Operations in Finland During a 5-Year Period (2009-2013). A Nationwide Registry Study. Obes Surg. 2017;27(9):2444-51.
  89. Chang SH, Freeman NLB, Lee JA, Stoll CRT, Calhoun AJ, Eagon JC, et al. Early major complications after bariatric surgery in the USA, 2003-2014: a systematic review and meta-analysis. Obes Rev. 2018;19(4):529-37.
  90. Heneghan HM, Meron-Eldar S, Yenumula P, Rogula T, Brethauer SA, Schauer PR. Incidence and management of bleeding complications after gastric bypass surgery in the morbidly obese. Surg Obes Relat Dis. 2012;8(6):729-35.
  91. Gagner M, Kemmeter P. Comparison of laparoscopic sleeve gastrectomy leak rates in five staple-line reinforcement options: a systematic review. Surg Endosc. 2020;34(1):396-407.
  92. Jacobsen HJ, Nergard BJ, Leifsson BG, Frederiksen SG, Agajahni E, Ekelund M, et al. Management of suspected anastomotic leak after bariatric laparoscopic Roux-en-y gastric bypass. Br J Surg. 2014;101(4):417-23.
  93. Robertson AGN, Wiggins T, Robertson FP, Huppler L, Doleman B, Harrison EM, et al. Perioperative mortality in bariatric surgery: meta-analysis. Br J Surg. 2021;108(8):892-7.
  94. Kermansaravi M, Kassir R, Valizadeh R, Parmar C, Davarpanah Jazi AH, Shahmiri SS, et al. Management of leaks following one-anastomosis gastric bypass: an updated systematic review and meta-analysis of 44 318 patients. Int J Surg. 2023;109(5):1497-508.
  95. Kim TY, Kim S, Schafer AL, Medical Management of the Postoperative Bariatric Surgery Patient.In Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, et al. Endotext. 2020.
  96. Ekelund M. Systematic review and meta-analysis of internal herniation after gastric bypass surgery (Br J Surg 2015; 102: 451-460). Br J Surg. 2015;102(5):460-1.
  97. Farukhi MA, Mattingly MS, Clapp B, Tyroch AH. CT Scan Reliability in Detecting Internal Hernia after Gastric Bypass. JSLS. 2017;21(4).
  98. Gormsen J, Burcharth J, Gögenur I, Helgstrand F. Prevalence and Risk Factors for Chronic Abdominal Pain After Roux-en-Y Gastric Bypass Surgery: A Cohort Study. Ann Surg. 2021;273(2):306-14.
  99. Høgestøl IK, Chahal-Kummen M, Eribe I, Brunborg C, Stubhaug A, Hewitt S, et al. Chronic Abdominal Pain and Symptoms 5 Years After Gastric Bypass for Morbid Obesity. Obes Surg. 2017;27(6):1438-45.
  100. DuPree CE, Blair K, Steele SR, Martin MJ. Laparoscopic sleeve gastrectomy in patients with preexisting gastroesophageal reflux disease : a national analysis. JAMA Surg. 2014;149(4):328-34.
  101. Peterli R, Wölnerhanssen BK, Peters T, Vetter D, Kröll D, Borbély Y, et al. Effect of Laparoscopic Sleeve Gastrectomy vs Laparoscopic Roux-en-Y Gastric Bypass on Weight Loss in Patients With Morbid Obesity: The SM-BOSS Randomized Clinical Trial. JAMA. 2018;319(3):255-65.
  102. Parmar CD, Mahawar KK, Boyle M, Schroeder N, Balupuri S, Small PK. Conversion of Sleeve Gastrectomy to Roux-en-Y Gastric Bypass is Effective for Gastro-Oesophageal Reflux Disease but not for Further Weight Loss. Obes Surg. 2017;27(7):1651-8.
  103. Robert M, Poghosyan T, Maucort-Boulch D, Filippello A, Caiazzo R, Sterkers A, et al. Efficacy and safety of one anastomosis gastric bypass versus Roux-en-Y gastric bypass at 5 years (YOMEGA): a prospective, open-label, non-inferiority, randomised extension study. Lancet Diabetes Endocrinol. 2024;12(4):267-76.
  104. Saarinen T, Pietiläinen KH, Loimaala A, Ihalainen T, Sammalkorpi H, Penttilä A, et al. Bile Reflux is a Common Finding in the Gastric Pouch After One Anastomosis Gastric Bypass. Obes Surg. 2020;30(3):875-81.
  105. Salminen P, Helmiö M, Ovaska J, Juuti A, Leivonen M, Peromaa-Haavisto P, et al. Effect of Laparoscopic Sleeve Gastrectomy vs Laparoscopic Roux-en-Y Gastric Bypass on Weight Loss at 5 Years Among Patients With Morbid Obesity: The SLEEVEPASS Randomized Clinical Trial. JAMA. 2018;319(3):241-54.
  106. Wölnerhanssen BK, Peterli R, Hurme S, Bueter M, Helmiö M, Juuti A, et al. Laparoscopic Roux-en-Y gastric bypass versus laparoscopic sleeve gastrectomy: 5-year outcomes of merged data from two randomized clinical trials (SLEEVEPASS and SM-BOSS). Br J Surg. 2021;108(1):49-57.
  107. Group B-B-SC. Roux-en-Y gastric bypass, gastric banding, or sleeve gastrectomy for severe obesity: Baseline data from the By-Band-Sleeve randomized controlled trial. Obesity (Silver Spring). 2023;31(5):1290-9.
  108. Hedberg S, Olbers T, Peltonen M, Österberg J, Wirén M, Ottosson J, et al. BEST: Bypass equipoise sleeve trial; rationale and design of a randomized, registry-based, multicenter trial comparing Roux-en-Y gastric bypass with sleeve gastrectomy. Contemp Clin Trials. 2019;84:105809.
  109. Maciejewski ML, Arterburn DE, Van Scoyoc L, Smith VA, Yancy WS, Weidenbacher HJ, et al. Bariatric Surgery and Long-term Durability of Weight Loss. JAMA Surg. 2016;151(11):1046-55.
  110. Salminen P, Grönroos S, Helmiö M, Hurme S, Juuti A, Juusela R, et al. Effect of Laparoscopic Sleeve Gastrectomy vs Roux-en-Y Gastric Bypass on Weight Loss, Comorbidities, and Reflux at 10 Years in Adult Patients With Obesity: The SLEEVEPASS Randomized Clinical Trial. JAMA Surg. 2022;157(8):656-66.
  111. Carandina S, Soprani A, Zulian V, Cady J. Long-Term Results of One Anastomosis Gastric Bypass: a Single Center Experience with a Minimum Follow-Up of 10 Years. Obes Surg. 2021;31(8):3468-75.
  112. Pories WJ, Swanson MS, MacDonald KG, Long SB, Morris PG, Brown BM, et al. Who would have thought it? An operation proves to be the most effective therapy for adult-onset diabetes mellitus. Ann Surg. 1995;222(3):339-50; discussion 50-2.
  113. Rubino F, Nathan DM, Eckel RH, Schauer PR, Alberti KG, Zimmet PZ, et al. Metabolic Surgery in the Treatment Algorithm for Type 2 Diabetes: A Joint Statement by International Diabetes Organizations. Diabetes Care. 2016;39(6):861-77.
  114. Courcoulas AP, Patti ME, Hu B, Arterburn DE, Simonson DC, Gourash WF, et al. Long-Term Outcomes of Medical Management vs Bariatric Surgery in Type 2 Diabetes. JAMA. 2024;331(8):654-64.
  115. Dixon JB, O'Brien PE, Playfair J, Chapman L, Schachter LM, Skinner S, et al. Adjustable gastric banding and conventional therapy for Type 2 Diabetes: A randomized controlled trial. Journal of the American Medical Association. 2008;299(3):316-23.
  116. Mingrone G, Panunzi S, De Gaetano A, Guidone C, Iaconelli A, Nanni G, et al. Bariatric-metabolic surgery versus conventional medical treatment in obese patients with type 2 diabetes: 5 year follow-up of an open-label, single-centre, randomised controlled trial. Lancet. 2015;386(9997):964-73.
  117. Kirwan JP, Courcoulas AP, Cummings DE, Goldfine AB, Kashyap SR, Simonson DC, et al. Diabetes Remission in the Alliance of Randomized Trials of Medicine Versus Metabolic Surgery in Type 2 Diabetes (ARMMS-T2D). Diabetes Care. 2022;45(7):1574-83.
  118. Ikramuddin S, Korner J, Lee WJ, Connett JE, Inabnet WB, Billington CJ, et al. Roux-en-Y gastric bypass vs intensive medical management for the control of type 2 diabetes, hypertension, and hyperlipidemia: the Diabetes Surgery Study randomized clinical trial. JAMA. 2013;309(21):2240-9.
  119. Schauer PR, Bhatt DL, Kirwan JP, Wolski K, Brethauer SA, Navaneethan SD, et al. Bariatric surgery versus intensive medical therapy for diabetes--3-year outcomes. N Engl J Med. 2014;370(21):2002-13.
  120. Sjostrom L, Peltonen M, Jacobson P, Ahlin S, Andersson-Assarsson J, Anveden A, et al. Association of Bariatric Surgery With Long-term Remission of Type 2 Diabetes and With Microvascular and Macrovascular Complications. JAMA. 2014;311(22):2297-304.
  121. Sjöström L, Gummesson A, Sjöström CD, Narbro K, Peltonen M, Wedel H, et al. Effects of bariatric surgery on cancer incidence in obese patients in Sweden (Swedish Obese Subjects Study): a prospective, controlled intervention trial. Lancet Oncol. 2009;10(7):653-62.
  122. Aminian A, Wilson R, Al-Kurd A, Tu C, Milinovich A, Kroh M, et al. Association of Bariatric Surgery With Cancer Risk and Mortality in Adults With Obesity. JAMA. 2022;327(24):2423-33.
  123. Clapp B, Portela R, Sharma I, Nakanishi H, Marrero K, Schauer P, et al. Risk of non-hormonal cancer after bariatric surgery: meta-analysis of retrospective observational studies. Br J Surg. 2022;110(1):24-33.
  124. Aminian A, Zajichek A, Arterburn DE, Wolski KE, Brethauer SA, Schauer PR, et al. Association of Metabolic Surgery With Major Adverse Cardiovascular Outcomes in Patients With Type 2 Diabetes and Obesity. JAMA. 2019.
  125. Lazo M, Clark JM. The epidemiology of nonalcoholic fatty liver disease: a global perspective. Semin Liver Dis. 2008;28(4):339-50.
  126. Caldwell S, Argo C. The natural history of non-alcoholic fatty liver disease. Dig Dis. 2010;28(1):162-8.
  127. Bzowej NH. Nonalcoholic steatohepatitis: the new frontier for liver transplantation. Curr Opin Organ Transplant. 2018;23(2):169-74.
  128. Fakhry TK, Mhaskar R, Schwitalla T, Muradova E, Gonzalvo JP, Murr MM. Bariatric surgery improves nonalcoholic fatty liver disease: a contemporary systematic review and meta-analysis. Surg Obes Relat Dis. 2019;15(3):502-11.
  129. Despres J. The insulin resistance-dyslipidemia syndrome: The most prevalent cause of coronary artery disease. Canadian Medical Association Journal. 1993;148(8):1339-40.
  130. Koba S, Hirano T, Sakaue T, Sakai K, Kondo T, Yorozuya M, et al. Role of small dense low-density lipoprotein in coronary artery disease patients with normal plasma cholesterol levels. Journal of Cardiology. 2000;36(6):371-8.
  131. Busetto L, Pisent C, Rinaldi D, Longhin PL, Segato G, De Marchi F, et al. Variation in lipid levels in morbidly obese patients operated with the LAP-BAND adjustable gastric banding system: effects of different levels of weight loss. Obesity Surgery. 2000;10(6):569-77.
  132. Bacci V, Basso MS, Greco F, Lamberti R, Elmore U, Restuccia A, et al. Modifications of metabolic and cardiovascular risk factors after weight loss induced by laparoscopic gastric banding. Obesity Surgery. 2002;12(1):77-82.
  133. Dixon J, O'Brien P. Ovarian dysfunction, androgen excess and neck circumference in obese women: Changes with weight loss (abstract). Obesity Surgery. 2002;12(2):193.
  134. Brolin RE, Bradley LJ, Wilson AC, Cody RP. Lipid risk profile and weight stability after gastric restrictive operations for morbid obesity. Journal of Gastrointestinal Surgery. 2000;4(5):464-9.
  135. Carbajo MA, Fong-Hirales A, Luque-de-León E, Molina-Lopez JF, Ortiz-de-Solórzano J. Weight loss and improvement of lipid profiles in morbidly obese patients after laparoscopic one-anastomosis gastric bypass: 2-year follow-up. Surg Endosc. 2017;31(1):416-21.
  136. Sjostrom CD, Lissner L, Wedel H, Sjostrom L. Reduction in incidence of diabetes, hypertension and lipid disturbances after intentional weight loss induced by bariatric surgery: the SOS Intervention Study. Obesity Research. 1999;7(5):477-84.
  137. Schiavon CA, Cavalcanti AB, Oliveira JD, Machado RHV, Santucci EV, Santos RN, et al. Randomized Trial of Effect of Bariatric Surgery on Blood Pressure After 5 Years. J Am Coll Cardiol. 2024;83(6):637-48.
  138. Beuther DA, Sutherland ER. Overweight, obesity, and incident asthma: a meta-analysis of prospective epidemiologic studies. American Journal of Respiratory and Critical Care Medicine. 2007;175(7):661-6.
  139. Young SY, Gunzenhauser JD, Malone KE, McTiernan A. Body mass index and asthma in the military population of the northwestern United States. Archives of Internal Medicine. 2001;161(13):1605-11.
  140. Camargo C, Weiss S, Zhang S, Willett W, Speizer F. Prospective study of body mass index, weight change, and risk of adult-onset asthma in women. Arch Intern Med. 1999;159(Nov):2582-88.
  141. Diaz J, Farzan S. Clinical implications of the obese-asthma phenotypes. Immunol Allergy Clin North Am. 2014;34(4):739-51.
  142. Khalooeifard R, Adebayo R, Rahmani J, Clark C, Shadnoush M, Mohammadi Farsani G. Health Effect of Bariatric Surgery on Patients with Asthma: A Systematic Review and Meta-Analysis. Bariatric Surgical Practice and Patient Care. 2021;16(1):2-9.
  143. Peppard PE, Young T, Palta M, Dempsey J, Skatrud J. Longitudinal study of moderate weight change and sleep-disordered breathing. JAMA. 2000;284(23):3015-21.
  144. Camargo CA, Weiss ST, Zhang S, Willett WC, Speizer FE. Prospective study of body mass index, weight change, and risk of adult-onset asthma in women. Arch Intern Med. 1999;159(21):2582-8.
  145. Dixon JB. Elevated homocysteine with weight loss. Obesity Surgery. 2001;11(5):537-8.
  146. Weiner R, Datz M, Wagner D, Bockhorn H. Quality-of-life outcome after laparoscopic adjustable gastric banding for morbid obesity. Obesity Surgery. 1999;9(6):539-45.
  147. Schok M, Geenen R, van Antwerpen T, de Wit P, Brand N, van Ramshorst B. Quality of life after laparoscopic adjustable gastric banding for severe obesity: postoperative and retrospective preoperative evaluations. Obesity Surgery. 2000;10(6):502-8.
  148. Balsiger BM, Kennedy FP, Abu-Lebdeh HS, Collazo-Clavell M, Jensen MD, O'Brien T, et al. Prospective evaluation of Roux-en-Y gastric bypass as primary operation for medically complicated obesity [see comments]. Mayo Clinic Proceedings. 2000;75(7):673-80.
  149. Horchner R, Tuinebreijer MW, Kelder PH. Quality-of-life assessment of morbidly obese patients who have undergone a Lap-Band operation: 2-year follow-up study. Is the MOS SF- 36 a useful instrument to measure quality of life in morbidly obese patients? Obesity Surgery. 2001;11(2):212-8; discussion 9.
  150. O'Brien P, Brown W, Dixon J. Revisional Surgery for Morbid Obesity- Conversion to the Lap-Band System. Obesity Surgery. 2000;10(6):557-63.
  151. Syn NL, Cummings DE, Wang LZ, Lin DJ, Zhao JJ, Loh M, et al. Association of metabolic-bariatric surgery with long-term survival in adults with and without diabetes: a one-stage meta-analysis of matched cohort and prospective controlled studies with 174 772 participants. Lancet. 2021;397(10287):1830-41.
  152. Pournaras DJ, Hardwick RH, le Roux CW. Gastrointestinal surgery for obesity and cancer: 2 sides of the same coin. Surg Obes Relat Dis. 2017;13(4):720-1.
  153. Sudlow A, le Roux CW, Pournaras DJ. Review of multimodal treatment for type 2 diabetes: combining metabolic surgery and pharmacotherapy. Ther Adv Endocrinol Metab. 2019;10:2042018819875407.
  154. NIH conference. Gastrointestinal surgery for severe obesity. Consensus Development Conference Panel. Ann Intern Med. 1991;115(12):956-61.

Normal Physiology of ACTH and GH Release in the Hypothalamus and Anterior Pituitary in Man

ABSTRACT

 

This chapter summarizes the intimate relationship between the hypothalamus and the anterior pituitary with respect to the secretion of ACTH and GH from the physiological viewpoint. Other chapters in Endotext cover the hormones prolactin, LH, FSH, TSH and the posterior pituitary. Adrenocorticotropic hormone (ACTH) and growth hormone (GH) are both peptide hormones secreted from the anterior pituitary. ACTH is derived from cleavage of the precursor hormone pro-opiomelanocortin (POMC) by prohormone convertase enzymes. Classically, it activates the production and release of cortisol from the zona fasciculata of the adrenal cortex via the melanocortin receptor MC2R. The major hypophysiotropic factor controlling ACTH expression and secretion is corticotropin-releasing hormone (CRH), in conjunction with arginine vasopressin (AVP). Key physiological features of the hypothalamo-pituitary-adrenal (HPA) axis are discussed, including the ultradian pulsatility of CRH, AVP and ACTH secretion, the circadian pattern of secretion, the negative feedback of cortisol on the HPA axis, the stress response, and the effects of aging and gender. GH is secreted mainly by somatotrophs in the anterior pituitary, but it is also expressed in other parts of the brain. Similarly, to ACTH, the release of GH is pulsatile with diurnal variation, under a negative feedback auto-regulatory loop, and can be affected by various factors. Activities that affect secretion of GH include sleep and exercise, and physical stresses such as fasting and hypoglycemia, hyperglycemia, hypovolemic shock, and surgery. GH secretion demonstrates differences between the sexes, with male ‘pulsatile’ secretion versus female ‘continuous’ secretion. In addition, the level of secretion also declines with age, a phenomenon termed the ‘somatopause’. All these are discussed in detail in this chapter.

 

THE HYPOTHALAMO-PITUITARY INTERFACE

 

The hypothalamus and pituitary serve as the body’s primary interface between the nervous system and the endocrine system. This interface takes the form of:

 

  • Amplification from femto (10-15) and pico (10-12)-molar concentrations of hypophysiotropic hormones to nano (10-9) molar concentrations of pituitary hormones.
  • Temporal smoothing from ultradian pulsed secretion of hypophysiotropic hormones to circadian rhythms of pituitary hormone secretion (1).

 

The function of this interface is modified by feedback, usually negative, via the nervous system and via the endocrine system.

 

REGULATION OF ACTH

 

Cells of Origin

 

ACTH is released from corticotrophs in the human pituitary, constituting 15-20% of the cells of the anterior pituitary (see Endotext chapter- Development and Microscopic Anatomy of the Pituitary Gland). They are distributed in the median wedge, anteriorly and laterally, and posteriorly adjacent to the pars nervosa. These cells are characteristically identified from their basophil staining and PAS-positivity due to the high glycoprotein content of the N-terminal glycopeptide of pro-opiomelanocortin (vide infra), as well as ACTH immunopositivity. Scattered ACTH-positive cells are also present in the human homologue of the intermediate lobe. Some of these appear to extend into the posterior pituitary, the so-called “basophilic invasion” (2).

 

ACTH/POMC

 

POMC GENE STRUCTURE  

 

ACTH is derived from a 266 amino acid precursor, pro-opiomelanocortin (POMC: Figure 1). POMC is encoded by a single-copy gene on chromosome 2p23.3 over 8 kb (3). It contains a 5′ promoter and three exons. Apart from the hydrophobic signal peptide and 18 amino acids of the N-terminal glycopeptide, the rest of POMC is encoded by the 833 bp exon 3.

 

Figure 1. POMC and its derivatives.

 

POMC PROMOTER

 

The promoter of POMC has most extensively been studied in rodents (4). Common transcription elements such as a TATA box, a CCAAT box, and an AP-1 site are found within the promoter (5,6). Corticotroph and melanotroph-specific transcription of POMC appears to be dependent on a CANNTG element motif synergistically binding corticotroph upstream transcription element-binding (CUTE) proteins (7). These include neurogenic differentiation 1 factor (NeuroD1) (8), pituitary homeobox 1 (Pitx1 or Ptx1) (9), and Tpit (10,11). NeuroD1 is a member of the NeuroD family and forms heterodimers with other basic-helix-loop-helix (bHLH) proteins, activating transcription of genes that contain an E-box, in this case POMC. This highly restricted pattern of expression in the nervous and endocrine systems is important during development. NeuroD1 is expressed in corticotrophs but not melanotrophs, thus indicating that there are some differences between the operations of the transcriptional mechanisms of these two POMC-expressing cell types (8). Tpit is a transcription factor of the T-box family and it plays an important role in late-stage cell determination of corticotrophs and melanotrophs (10). Pitx1 is a homeoprotein belonging to a class of transcription factors that are involved in organogenesis and cell differentiation. Both Tpit and Pitx1 bind to their respective responsive elements and are involved in controlling the late differentiation of POMC gene expression, maintaining a basal level of POMC transcription and participating in hormone-induced POMC expression (12). To summarize the respective roles of the CUTE proteins, Pitx1 confers pituitary specificity in the broadest sense, Tpit confers the POMC lineage identity common to corticotrophs and melanotrophs, whereas NeuroD1 expression confers corticotroph identity (4). However, CUTE proteins are not the only method by which POMC expression is differentiated between corticotrophs and melanotrophs. The Pax7 transcription factor has been shown to be a key determinant of melanotroph identity, and it works by remodeling chromatin prior to Tpit expression, opening key areas of chromatin to allow Tpit and other transcription factors access to enhancers, resulting in melanotroph specification (13).

 

Ikaros transcription factors, which had previously been characterized as being essential for B and T cell development, have been demonstrated to bind and regulate the POMC gene in mice. Moreover, Ikaros knockout mice demonstrate impaired corticotroph development in their pituitaries, as well as reduced circulating ACTH, MSH, and corticosterone levels (14), suggesting a role in corticotroph development.

 

POMC transcription is positively regulated by corticotrophin releasing hormone (CRH). CRH acts via its G-protein coupled receptor to activate adenylate cyclase, increase intracellular cAMP and stimulate protein kinase-A (15). Transcription stimulation is mediated by an upstream element (PCRH-RE) binding a novel transcription factor (PCRH-REB) containing protein kinase-A phosphorylation sites (16). CRH also stimulates the transcription of c-Fos, FosB and JunB, as well as binding to the POMC AP-1 site (17). Another secondary messenger pathway that controls POMC expression involves intracellular Ca2+ ions (18). Both cAMP and intracellular Ca2+ pathways cross-talk with each other(19). These findings further support the importance of cAMP and Ca2+ in the intracellular signaling of corticotrophs and melanotrophs. Interestingly, there is a remarkable absence of cAMP-responsive elements (CRE) and Ca2+ responsive elements (CaRE) in the promoter region of POMC despite the demonstrated importance of cAMP and Ca2+ in the intracellular signaling of corticotrophs and melanotrophs. Other, more indirect strategies have evolved to translate cAMP signals into changes in POMC gene expression involving a CREB/c-Fos/AP-1 signaling cascade activating POMC transcription via an activator protein-1 (AP-1) site in exon 1. Similarly, intracellular Ca2+ may signal via the Ca2+ binding repressor DREAM (downstream response element-antagonist modulator) and modulation of c-Fos expression (20).

 

CRH also activates POMC expression through a Nur response element which binds the related orphan nuclear receptors Nur77, Nurr1, and NOR1 (21). The pituitary adenylate cyclase-activating peptide (PACAP) also stimulates cAMP synthesis and POMC transcription, presumably through a common pathway with CRH (22).

 

The effect of Nuclear transcription factor kappa B (NF-κB) on POMC expression is unclear. Although NF-κB is mostly associated with an activation of gene expression, it has been shown to inhibit POMC gene expression by binding to the promoter region (23). In keeping with this finding, CRH treatment blocks this binding, leading to an increase in POMC expression. On the contrary, it has also been shown that more pertinent high glucose (metabolic stress condition) elevates POMC transcription in AtT-20 cells through, or at least in part, the NF-κB responsive element and AP-1 sites (24).

 

POMC mRNA transcription in corticotrophs is negatively regulated by glucocorticoids (25), although glucocorticoids increase expression of POMC in the hypothalamus (26). The inhibitory effect of glucocorticoids on corticotroph POMC expression appears, in the rat POMC promoter, to be dependent on a glucocorticoid response element partially overlapping the CCAAT box (27). The element binds the glucocorticoid receptor as a homodimer plus a monomer on the other side of the DNA helix (28). Glucocorticoid regulation of corticotroph POMC transcription is also indirectly mediated via other mechanisms such as down-regulation of c-jun expression and direct protein-protein mediated inhibition of CRH-induced AP-1 binding (29), inhibition of CRH receptor transcription (30), inhibition of CRH/cAMP induced activation of Tpit/Pitx1, inhibition of CRH action via the Nur response element (12), and suppression of NeuroD1 expression which in turn inhibits the positive NeuroD1/E-box interaction in the POMC promoter (31).

 

There are also some other nuclear receptors and respective ligands that show potential roles in POMC regulation. All-trans retinoic acid (ATRA), a stereoisomeric form of retinoic acid, has been shown to inhibit POMC transactivation and ACTH secretion in murine corticotroph tumor AtT20 cells via inhibition of AP-1 and Nur transcriptional activities (32). Mutations in the retinoic acid receptor-related orphan receptors (ROR) also result in enhanced corticosterone secretion and ACTH response as well as a lack of diurnal variation compared to wild-type mice (33). As for the thyroid hormone and its receptor, there appears to be no reported direct interaction with the POMC promoter, although POMC-/- animals are known to display primary hyperthyroidism (34). More studies are needed to elucidate the potential roles of different nuclear receptors and ligands in POMC regulation. It is also important to note that most of these studies were conducted using tumor cells or in vitro models, as some of the global knockout models can be lethal or difficult.

 

Leukemia Inhibitory Factor (LIF), a pro-inflammatory cytokine expressed in corticotrophs, has also been shown to stimulate POMC transcription via activation of the Jak-STAT pathway (35,36). This stimulation is synergistic with CRH. Deletional analysis of the POMC promoter has identified a LIF-responsive region from –407 to –301. A STAT binding site that stimulates POMC transcription and which partly overlaps with the Nur response element has been identified within the POMC promoter (37). This pathway might form an interface between the immune system and regulation of the pituitary-adrenal axis, particularly during chronic inflammation, where pro-inflammatory cytokines such as LIF might stimulate STAT3 expression and therefore POMC transcription (38). Another interface between the immune system and POMC expression involves Toll-like receptor (most likely TLR4) recognition of lipopolysaccharide, which is a component of the bacterial cell wall. This appears to act via activation of c-Fos and AP-1 expression (39).

 

The POMC promoter sits within a CpG island, defined as the regions in the genome which the G and C content exceed 50%. These genomic regions are important controllers of gene expression as hypermethylation of the cytosine leads to silencing of gene expression via remodeling of the chromatin structure to favor heterochromatinization (40). Hypermethylation of the POMC promoter leads to repression of POMC expression in non-expressing tissues. In contrast, hypomethylation leads to de-repression of the POMC promoter in POMC expressing tissues (e.g. corticotrophs). Notably, a small cell lung carcinoma cell line, which expresses POMC and ACTH, possesses a hypomethylated POMC promoter, suggesting that ectopic ACTH secretion by tumors may be due to hypomethylation at a relatively early stage in carcinogenesis (41).

 

BIOGENESIS OF ACTH

 

Prohormone convertase enzymes PC1 and PC2 process POMC at pairs of basic residues (Lys-Lys or Lys-Arg). This generates ACTH, the N-terminal glycopeptide, joining peptide, and beta-lipotropin (beta-LPH) (Figure 1). ACTH can be further processed to generate alpha-melanocyte stimulating hormone (alpha-MSH) and corticotropin-like intermediate lobe peptide (CLIP), whereas beta-LPH can be processed to generate gamma-LPH and beta-endorphin (42). In corticotrophs, POMC is mainly processed to the N-terminal glycopeptide, joining peptide, ACTH, and beta-LPH; smaller amounts of the other peptides are present (43). Other post-translational modifications include glycosylation of the N-terminal glycopeptide (44), C-terminal amidation of N-terminal glycopeptide, joining peptide and alpha-MSH (45,46), and N-terminal acetylation of ACTH, alpha-MSH and beta-endorphin (47,48).

 

HYPOPHYSIOTROPIC HORMONES AFFECTING ACTH RELEASE

 

Corticotropin Releasing Hormone (CRH)

 

This 41 amino acid neuropeptide (49) is derived from a 196-amino acid prohormone (50). CRH is likely to be involved in all the three types of stress responses: behavioral, autonomic and hormonal. CRH immunoreactivity is mainly found in the paraventricular nuclei (PVN) of the hypothalamus, often co-localized with AVP (51). CRH is part of a family of neuropeptides together with the urocortins 1, 2 and 3 (52).

 

CRH binds to G-protein coupled seven-transmembrane domain receptors (53,54), which are classically coupled to adenylate cyclase via Gs, stimulating cAMP synthesis and PK-A activity. However, it is increasingly clear that CRH receptors also couple to Gi (inhibiting adenylate cyclase) and Gq (stimulating phospholipase C, the processing of phosphatidylinositol 4,5-bisphosphate into inositol trisphosphate and diacylglycerol and intracellular Ca2+ release), as well as the recruitment of beta-arrestins which counter-regulate CRH-R function via G-protein decoupling and receptor internalization/desensitization (52).

 

To date, two CRH receptor genes have been identified in humans. CRH-R1 mediates the action of CRH at corticotrophs by binding to CRH; it also binds urocortin 1. CRH-R1 is most extensively expressed in the CNS. CRH-R2 binds to all three urocortins, while binding CRH at a far lower affinity (52). CRH-R2 is predominantly expressed in the heart and has profound effects on the regulation of the cardiovascular system and blood pressure (55,56).

 

Besides stimulating POMC transcription and ACTH biogenesis, CRH stimulates the release of ACTH from corticortophs via CRH-R1 leading to a biphasic response with the fast release of a pre-synthesized pool of ACTH, and the slower and sustained release of newly-synthesized ACTH (57). Figure 2 describes the stimulation of ACTH release by CRH (58). It is clear that CRH and CRH-R1 is the ‘main line’ of the HPA axis with major defects in this axis with CRH (59) and CRH-R1 knockout (60). Although urocortin 1 can also activate CRH-R1, urocortin 1 knockout mice appear to have normal HPA axis function, suggesting that urocortin 1 does not have a significant regulatory role on the axis (61). Indeed, knocking out all three urocortins does not have any major effect on basal corticosterone levels (62) although female urocortin 2 knockout mice exhibit a more subtle dysregulation with elevated basal ACTH and corticosterone secretion which is modulated by their estrogen status (63).

 

Figure 2. Diagram showing the release of ACTH from corticotroph cells. CRH binds to a particular receptor that leads to activation of cAMP. The rise in cAMP inhibits TREK-1, thus leading to the depolarization of the cell and subsequently influx of calcium via VGCC. The rise in intracellular calcium leads to the exocytosis and release of ACTH.

 

CRH secretion is also regulated by other neurotransmitters and cytokines. These include acetylcholine, norepinephrine/noradrenaline, histamine, serotonin, gamma-aminobutyric acid (GABA), interleukin-1beta, and tumor necrosis factor.  All of these factors increase hypothalamic CRH expression, except for GABA which is inhibitory.

 

Arginine Vasopressin (AVP)

 

In the anterior pituitary, AVP principally binds to the seven-transmembrane domain V1b receptor, also known as the V3 receptor (64). The receptor is coupled to phospholipase C, phosphatidyl inositol generation, and activation of protein kinase-C (65,66) and not via adenylate cyclase and cAMP (15). AVP stimulates ACTH release weakly by itself, but synergizes with the effects of CRH on ACTH release (67). Downregulation of protein kinase C by phorbol ester treatment abolishes the synergistic effect of AVP on ACTH release by CRH (68). AVP does not stimulate POMC transcription either by itself or in synergism with CRH (69). Between the two neuropeptide effects on ACTH release, CRH is the more dominant effect although there is some residual HPA axis activation in female CRH knockout mice (59).

 

The association between AVP and ACTH release suggests that measurement of AVP levels might be useful for assessing anterior pituitary function. However, direct measurement of plasma AVP is technically difficult due to its small molecular size and binding to platelets. Copeptin is a 39-amino acid glycosylated peptide which is derived from the C-terminal part of the AVP precursor at an equimolar amount to AVP. It remains stable for several days at room temperature in serum or plasma, and its measurement is reliable and reproducible, making it a biomarker of AVP release (70). The copeptin increment during glucagon stimulation testing correlates well with the ACTH increment in healthy controls, but not in patients with pituitary disease (71). Interestingly, there appears to be a sexual dimorphism in terms of the correlation between copeptin and ACTH/cortisol release under the conditions of insulin tolerance testing, with a positive correlation observed in women but no significant correlation in men, i.e. copeptin cannot be used as a universal marker of HPA axis stimulation (72).

 

Other Influences on ACTH Release

 

Glucocorticoids rapidly travel through circulation to inhibit the HPA axis at the level of the hypothalamus (release of CRH) (73-76) and anterior pituitary (release of ACTH) (77,78) when synthesized. There is an inherent short delay in this dynamic relationship between the hypothalamus-pituitary-adrenal system but nevertheless it is one of the main influences on ACTH release.

 

The mineralocorticoid system has always been closely linked to the glucocorticoid system. The endogenous glucocorticoids bind to the mineralocorticoid receptors with a 10-fold greater affinity than to the glucocorticoid receptors (79-81). The mineralocorticoid receptors have a more restricted expression profile throughout the body, with notably high levels of expression in the kidney and adipose tissue, although it is also expressed in certain parts of the brain (82). Administration of mineralocorticoid antagonists intracerebroventricularly or intrahippocampal infusion have been shown to increase the basal HPA axis activity as well as potentiate the initial rise of ACTH in response to stress (83,84).

 

Oxytocin and AVP have been co-localized to the PVN and supraoptic nuclei of the hypothalamus (85). Oxytocin controversially inhibits ACTH release in man (86-88) by competing for AVP receptor binding (89), but its more dominant effect seems to be a potentiation of the effects of CRH on ACTH release (90,91).

 

Vasoactive intestinal peptide (VIP) and its relative, peptide histidine isoleucine (PHI), have been shown to activate ACTH secretion (92). This is most probably mediated indirectly via CRH (93).

 

Atrial natriuretic peptide (ANP) 1-28 has been localized to the PVN and supraoptic nuclei (94). In healthy males, infusion of ANP 1-28 was reported to attenuate the ACTH release induced by CRH (95,96), but this only occurs under highly specific conditions and is not readily reproducible. In physiological doses, ANP 1-28 does not appear to affect CRH-stimulated ACTH release (97).

 

Opiates and opioid peptides inhibit ACTH release (98). There does not seem to be a direct action at the pituitary level. It is likely that these act by modifying release of CRH at the hypothalamic level (99).  Opiate receptor antagonists such as naloxone or naltrexone cause ACTH release by blocking tonic inhibition by endogenous opioid peptides (100).

 

The endocannabinoid system has recently appeared as a key player in regulating the baseline tone and stimulated peaks of ACTH release. The seven-transmembrane cannabinoid receptor type 1 (CB1) is found on corticotrophs, and the endocannabinoids anandamide and 2-arachidonoylglycerol can be detected in normal pituitaries (101). Antagonism of CB1 causes a dose-dependent rise in corticosterone levels in mice (102). CB1-/- knockout mice demonstrate higher corticosterone levels compared to wild-type CB1+/+ littermates, although the circadian rhythm is preserved. Treatment of the CB1-/- mice with low-dose dexamethasone did not significantly suppress their corticosterone levels and surprisingly caused a paradoxical rise in ACTH levels when compared to the wild-type, although high-dose dexamethasone suppressed corticosterone and ACTH to the same degree in both CB1-/- and CB1+/+ mice. These CB1-/- mice have: (1) higher CRH mRNA expression in the PVN; (2) lower glucocorticoid receptor mRNA expression in the CA1 hippocampal region, but not in the dentate gyrus or the PVN; (3) significantly higher baseline ACTH secretion from primary pituitary cell cultures as well as augmented ACTH responses to stimulation with CRH or forskolin (103). It has also been known for some time that the administration of the cannabinoid agonist delta-9-tetrahydrocannabinol (THC) for 14 days suppresses the cortisol response to hypoglycemia in normal humans (104). Thus, the endocannabinoids appear to negatively regulate basal and stimulated ACTH release at multiple levels of the hypothalamo-pituitary-adrenal axis.

 

Catecholamines act centrally via alpha1-adrenergic receptors to stimulate CRH release. Peripheral catecholamines do not affect ACTH release at the level of the pituitary in humans (105).

 

Nitric oxide (NO) and carbon monoxide negatively modulate the HPA axis by reducing CRH release, at least in vitro(106,107). Endotoxin administered into isolated rat hypothalamus led to generation of NO and CO, which subsequently led to significant decrease in CRH and vasopressin secretion (107).

 

GH secretagogues such as ghrelin and the synthetic GH secretagogue hexarelin stimulate ACTH release, probably via stimulating AVP release with a much lesser effect on CRH (108-111). GH-releasing peptide-2 (GHRP-2) has also been shown to cause ACTH release in humans (112,113). GH releasing hormone (GHRH) has been shown to potentiate the ACTH and cortisol response to insulin-induced hypoglycemia, but not to potentiate the ACTH and cortisol response after administration of CRH/AVP (114).

 

Obestatin, a 23 amino acid amidated peptide, is derived from preproghrelin, which is the same precursor as ghrelin (Figure 3). Obestatin is found to suppress food intake and have opposing metabolic effects to ghrelin when administered intraperitoneally in mice (115). An early study showed that intravenous or intracerebroventricular obestatin had no effects on pituitary hormone release (GH, prolactin, ACTH and TSH) in male rats (116), consistent with the fact that the obestatin receptor GPR39 is not expressed in the pituitary (115,117,118). A study in mice and non-human primates (baboon) again showed no effects of obestatin on prolactin, LH, FSH and TSH expression and release. However, obestatin was shown to stimulate POMC expression and ACTH release in vitro and in vivo, and in this study the authors found GPR39 expression in pituitary tissue and primary pituitary cell cultures, contrary to the above-mentioned studies. This effect was mediated by the adenylyl cyclase and MAPK pathways. The increase in ACTH release was also associated with an increase in pituitary CRH receptor expression. Interestingly, obestatin did not inhibit the stimulatory effect of ghrelin on ACTH release (119). Therefore, the effects of obestatin on pituitary hormone secretions remain controversial.

 

Figure 3. Schematic diagram showing the synthesis of ghrelin and obestatin from the same precursor, preproghrelin. Preproghrelin is a 117 amino acid precursor encoded at chromosome 3. Cleavage of this protein leads to the production of ghrelin, a 28 amino acid peptide, and obestatin, a 23 amino acid protein. Ghrelin can be present as both des-acyl- and acyl-ghrelin (figure modified from (291)).

 

Angiotensin II (Ang II) is able to stimulate ACTH release in vitro from pituitary cells (120). Central Ang II is likely to stimulate CRH release via its receptors in the median eminence, as passive immunization with anti-CRH can abolish the effect of Ang II (121). Intracerebroventricular Ang II can stimulate ACTH release in rats (122) and is able to stimulate the synthesis of CRH and POMC mRNA (123). Conversely, blockade of Ang II subtype 1 (AT1) receptors with candesartan is able to decrease the CRH, ACTH, and cortisol response to isolation stress in rats (124,125). There is some controversy as to whether peripheral Ang II can modulate ACTH secretion. It is likely that the ACTH rise seen after Ang II infusion into rats is mediated via circumventricular organ stimulation, as blockade of Ang II effects on the circumventricular organs with simultaneous infusion of saralasin blocks this rise (122).

 

In vitro studies have shown an inhibitory effect of somatostatin on ACTH release in AtT-20 pituitary cell lines from rats, which is mediated via somatostatin receptor (SSTR) subtypes 2 and 5 (126). This inhibitory effect is dependent on the absence of glucocorticoids in the culture medium, but is more prominent when somatostatin analogues targeting SSTR 5 are used (127,128). In rodents, pasireotide, a somatostatin analogue capable of activating SSTRs 1, 2, 3, and 5, is capable of inhibiting CRH-stimulated ACTH release in contrast to octreotide (selective for SSTRs 2 and 5), which was less efficacious (129). Early in vivo studies in humans showed no effect of somatostatin on basal or CRH-stimulated ACTH release (130), although somatostatin does decrease basal secretion in the context of Addison’s disease (131). It is unlikely, therefore, that somatostatin itself is an inhibitor of ACTH release in normal human physiology. Corticotroph adenomas express the somatostatin receptor (SSTR) subtype 5 (132) and ACTH secretion from cultured corticotroph adenomas is inhibited by pasireotide (133). This is the basis for the use of pasireotide to treat Cushing’s disease (134). Octreotide is clinically ineffective in this context (135), but may be effective if glucocorticoids are lowered.

 

The role of TRH in ACTH release is in dispute. Although there is evidence that prepro-TRH 178-199 can inhibit both basal and CRH-stimulated ACTH release in AtT-20 cell lines and rat anterior pituitary cells (136,137), other investigators have not been able to confirm this (138). There has also been another study showing that TRH is able to induce ACTH release from AtT-20/NYU-1 cells (139), but no in vivo studies exist to substantiate a physiological role.

 

Tumor necrosis factor-alpha (TNFalpha) is a macrophage-derived pleiotropic cytokine that has been shown to stimulate plasma ACTH and corticosterone secretion in a dose-dependent manner (140). The primary site of action of TNFalpha effect on the HPA axis is likely to be on hypothalamic CRH-secreting neurons. The effects are abolished with CRH antiserum treatment, thus suggesting that CRH is a major mediator of the HPA axis response to TNFalpha.

 

Interleukins IL-1, IL-6 and possibly IL-2 appear to stimulate ACTH release (141-143). There seem to be multiple mechanisms for interleukins to stimulate ACTH release, but most of the acute effects of these agents are almost certainly via the hypothalamus (144).

 

Leukemia Inhibitory Factor is able to stimulate POMC synthesis, as noted above.

 

Endothelial Growth Factor (EGF) is a pituitary cell growth factor that is previously known to induce production of prolactin (145). Both EGF and its receptor (EGFR) are expressed in normal pituitary tissue (146). More recently, EGF has been found to regulate the transcription of POMC and production of ACTH (147-149). The mechanism behind this is still unclear, although mutations in ubiquitin-specific protease 8 (USP8), a deubiquitinase enzyme with various targets including EGFR, leading to hyperactivation of this enzyme and subsequent increased EGFR deubiquitination and recirculation to the cell surface, enhance the release of ACTH (147,150). A significant percentage of corticotroph adenomas harbor somatic mutations in USP8, and a germline mutation case have also been described and can develop Cushing’s disease (147,150,151). These findings further provide evidence that EGF and EGFR can regulate production of ACTH.     

 

PHYSIOLOGY OF ACTH RELEASE

 

Pulsatility of ACTH Release

 

Frequent sampling of ACTH with deconvolution analysis reveals that it is secreted in pulses from the corticotroph with 40 pulses ± 1.5 measured per 24 hours, on analysis of 10-minute sampling data. These pulses temporally correlate with the pulsed secretion of cortisol, allowing for a 15 minute delay in secretion, and correlate in amplitude (152). Pulse concordance has been measured at 47% (ACTH to cortisol) and 60% (cortisol to ACTH) in one study (153), and 90% (ACTH to cortisol) in another (154). Although the pulsatility of ACTH secretion may result from pulsatile CRH release, there is evidence that isolated human pituitaries intrinsically release ACTH in a pulsatile fashion (155). In addition, studies in rats have shown that constant CRH infusion still resulted in oscillations of ACTH and glucocorticoid release (156). However, the pulsatile activities of ACTH and glucocorticoid are entirely dependent on the level, rather than the pattern, of CRH secretion (156).  

 

The pulsatile release of ACTH induces pulses of glucocorticoid secretion. In rats with HPA axis suppression, constant infusion of ACTH did not induce pulsatile glucocorticoid secretion (157). It was shown in vitro using ZF cell lines that constant ACTH treatment led to larger increase in pCREB and steroidogenic gene transcription at the start of treatment but the cells became unresponsive to the stimuli over time (158). The responsiveness of cells to the ACTH treatment could only be maintained with pulsatile ACTH treatment, further supporting the importance of pulsatile release of ACTH physiologically.

 

Recent developments in automated sampling of blood (159) and tissue interstitial fluid via microdialysis (160) have also uncovered the ultradian rhythms in plasma ACTH which correlate well with plasma and tissue steroid (cortisol and cortisone) concentrations, indicating that the ultradian rhythms in blood ACTH and cortisol/cortisone translate well to tissue exposure to these steroids.

  

Circadian Rhythm

 

In parallel with cortisol, ACTH levels vary in an endogenous circadian rhythm, reaching a peak between 06.00-09.00h, declining through the day to a nadir between 23.00h-02.00h, and beginning to rise again at about 02.00-03.00h. An increase in ACTH pulse amplitude rather than frequency is responsible for this rhythm (152). The circadian rhythm in glucocorticoid secretion is a key mechanism for re-entraining behavior in the face of external perturbations such as an abrupt phase shift of light conditions, i.e. a model of ‘jet lag’ (161).

 

The circadian rhythm is mediated via a master oscillator in the supra-chiasmatic nucleus (SCN). A lesion in the SCN eliminates the glucocorticoid circadian rhythm (162). An autoregulatory negative transcription-translation loop feedback system involving cyclical synthesis of the period proteins Per1-3, Clock/BMAL1, and Cry1/2 acts as the basic molecular oscillator, where the Clock/BMAL1 heterodimer acts to activate the transcription of Per and Cry proteins (the so-called ‘positive limb’). In turn, the Per and Cry proteins complex together, translocate back into the nucleus and inhibit Clock/BMAL1-mediated transcription (the so-called ‘negative limb’). The system is reset by phosphorylation, ubiquitination and proteasomal degradation of the Per/Cry repressor complexes (163,164). Entrainment of the oscillator is achieved by light input from the retina, mediated via the retino-hypothalamic tract. Light-activated transcription of immediate-early genes such as c-fos and JunB (165,166) causes activation of PER1 gene transcription as well as modification of the acetylation pattern of histone tails. The latter are implicated in the control of chromatin structure and accessibility of genes to transcription (167). The impact of a period protein gene deletion on circulating glucocorticoids depends on which side of the clock feedback loop is affected (164). Knockout mice with mutations in the components of positive limb of the oscillator (Clock or BMAL1) suffer from hypocortisolism and lose circadian cyclicity (168,169). The deletion of Per2, which affects the negative limb of the oscillator, also results in hypocortisolism (170). However, Cry1 knockout (also affecting the negative limb) leads to hypercortisolism (171,172).

 

Is a circadian rhythm in CRH secretion responsible for the ACTH rhythm? Although there is a report of a circadian rhythm in CRH secretion (173), and in situ hybridization studies show that there is a circadian rhythm in CRH expression in the suprachiasmatic nucleus (174), other reports do not confirm this (175). Moreover, the circadian rhythm persists despite a continuous infusion of CRH, suggesting that other factors are responsible for the modulation of ACTH pulses (176). The most likely alternative candidate is AVP: immunocytochemical studies show a circadian rhythm in AVP expression (177) and Clock knockout mice show a loss of the circadian rhythm in AVP RNA expression in the SCN (178). In addition, metyrapone and CRH infusion in normal individuals showed a persistence of the HPA circadian rhythm, thus further supporting the role of AVP in regulating ACTH rhythm (176).

 

However, rhythmic HPA axis activity is not the be-all and end-all of the circadian rhythm of glucocorticoid release. For example, the adrenal rhythm of cortisol secretion persists after hypophysectomy (179). Indeed, light pulses can induce glucocorticoid secretion independent of ACTH secretion. This HPA axis-independent pathway is mediated by the sympathetic nervous system innervation of the adrenals (180). The adrenal glands also possess an independent circadian oscillator: oscillatory Clock/BMAL1, Per1-3 and Cry1 expression is seen in the outer adrenal cortex (zona glomerulosa and zona fasciculata). This adrenal circadian clock appears to ‘gate’ the response to ACTH, i.e. it defines a time window during which ACTH is most able to stimulate glucocorticoid secretion (181). Exogenous ACTH is capable of phase-dependently resetting glucocorticoid rhythms (182), suggesting that the adrenal circadian clock can be entrained by the ACTH rhythm. This illustrates a general principle of circadian system organization, namely that there is a hierarchical system with the SCN master clock entraining and coordinating peripheral and non-SCN tissue clocks via endocrine and neuronal signals.

 

Stress

 

Stress, both physical and psychological, induces the release of ACTH and cortisol, particularly via CRH and AVP (183,184), and increases the turnover of these neurohypophysiotropic factors by increasing the transcription of CRH and AVP (185).

 

During acute stress, an immediate activation of the autonomic nervous system takes place, followed by a delayed response via the HPA axis-mediated release of glucocorticoids (164). During the initial stage, there is an immediate increase of catecholamines via activation of the sympathetic preganglionic neurons in the spinal cord, which in turn stimulates adrenal medulla production of catecholamines via splanchnic nerve innervation. The catecholamines released will also collectively affect peripheral effector organs where they are translated into the classical fight-or-flight response. The delayed response of stress involves activation of the HPA axis, leading to an increase in glucocorticoid level, which in turn can terminate the effects of the sympathetic response together with the reflex parasympathetic activation. It is important to note that this neurohormonal stress response has an additional endocrine leg in the form of glucagon: together, one of the important effects of this trio is to enhance the release of glucose, amino acids and fatty acids, a coordinated catabolic response to stress (186).

 

Stress paradigms studied in humans include hypoglycemia during the insulin tolerance test (Figure 4), and venipuncture (187). Elective surgery has also long been used as a paradigm of the stress response in humans (188-190): the magnitude of cortisol rise correlates positively with the severity of surgery (191). Experimentally, other stress paradigms such as hemorrhage, oxidative stress, intraperitoneal hypertonic saline, restraint/immobilization, foot shock, forced swimming, or shaking are used to study the stress responses in animals. Importantly, different stress paradigms can have differential effects on CRH and AVP. In situ hybridization with intronic and exonic probes can be used to study the transcription of heterogenous nuclear RNA (hnRNA), followed by its processing (including splicing, capping and polyadenylation) to messenger RNA (mRNA) within 1-2 hours. CRH and AVP hnRNA levels in rats subjected to restraint show significant increases at 1 and 2 hours after the induction of stress, followed by significant increases in mRNA levels at 4 hours (192). In contrast, intraperitoneal hypertonic saline causes a rapid 8.6-fold increase in CRH hnRNA and mRNA within 15 minutes, returning to basal levels by 1 hour. AVP hnRNA responses are slower, peaking at 11.5-fold increase by 2 hours, followed by a prolonged elevation of AVP mRNA levels from 4 hours onwards (193). As previously noted, serum copeptin can be used as a more stable biomarker of AVP secretion and copeptin increments correlate well with cortisol secretion in a glucagon stimulation test paradigm (71), but exhibit a sexual dimorphism in the context of the insulin tolerance test (72).

 

Figure 4. Typical response to hypoglycemia (≤2.2 mmol/l) induced by 0.15 U/kg Actrapid i.v. in a normal subject. Peak cortisol is ≥550 nmol/l.

 

Various stressors are known to stimulate oxytocin release which in turn, at least acutely, appears to potentiate CRH-induced ACTH secretion and therefore cortisol release (90). There are also roles for endogenous nitric oxide (NO) and carbon monoxide (CO) in modulating the ACTH response to stress (194). Neuronal NO synthase co-localizes with AVP and to some extent CRH in paraventricular neurons (195,196). Knockout mice lacking wild-type and neuronal NO synthase have much reduced quantities of POMC immunoreactivity in their arcuate nuclei and pituitaries compared to wild-type mice (195,197).  In general, inflammatory stressors appear to activate an endogenous inhibitory pathway, whereby NO and CO attenuate the stimulated secretion of CRH and AVP. These effects can also be seen in terms of circulating AVP. However, the regulation of the pituitary-adrenal axis by other stressors may involve an activating role for these gaseous neurotransmitters. CRH-R2, as noted above, binds the urocortins 1, 2 and 3, and appears to mediate a down-regulatory role in the HPA response to stress: knockout mice exhibit a ‘hypersensitive’ acute ACTH and corticosterone response (198) and a defective recovery from stress with a slower drop in corticosterone (199).

 

Repetitive stress causes variable effects, enhancement or desensitization, on ACTH responses, depending on the stress paradigm involved. This appears to be positively correlated with changes in AVP binding to V1b receptors, reflecting changes in the number of binding sites and not their affinities. It is at present unclear whether this is due to changes in transcription of the V1b gene, alterations in mRNA stability, translational control or recruitment of receptors from intercellular pools (200). With chronic stress, oxytocin is thought to have a longer term stress-antagonistic function, partially via cortisol-mediated negative feedback on CRH, partially via GABAergic inhibition of CRH neuron function and partially via a direct inhibitory effect of oxytocin on CRH expression (90).

 

As noted above, circadian rhythms in adrenal ACTH responsiveness, controlled by local oscillator circuits, gate’ the glucocorticoid output in response to a certain level of ACTH. In the case of stress, this leads to markedly different glucocorticoid responses depending on when (during the active or inactive phase) the experimental stress is applied to experimental animals. Moreover, the timing of repetitive stress application can lead to differences in the behavioral and metabolic responses to repetitive/chronic stress. Lastly, it is also known that stress can influence clock function at the level of the SCN and also at the level of the adrenal circadian oscillator leading to phase shifts (164). In humans, stressors such as illness leads to abolition of the diurnal variation of cortisol, which appears to be ACTH independent (201,202). This change in the diurnal regulation of cortisol secretion is linked to regulation of immune responses which is likely to be adaptive in the acute context, but which may be maladaptive with chronic stress (203).  

 

FEEDBACK REGULATION OF THE HPA AXIS

 

Glucocorticoid feedback occurs at multiple levels: at the pituitary, at the hypothalamus, and most importantly, centrally at the level of the hippocampus, which contains the highest concentration of glucocorticoid receptors in the central nervous system. Multiple effects mediate this feedback (Figure 5), including:

 

  • inhibition of CRH and AVP synthesis and release in the PVN (204,205).
  • inhibition of POMC transcription (as outlined above).
  • inhibition of ACTH release induced by CRH and AVP (206).

Figure 5. Regulation of ACTH. Green arrows denote stimulatory influences, red arrows denote inhibitory influences.

 

Fast feedback occurs within seconds to minutes and involves inhibition of ACTH release by the corticosteroids, mediated through the glucocorticoid receptor (GR). For example, an injection of prednisolone inhibits ovine CRH-stimulated ACTH release within 20 minutes (207). In vitro this appears to involve inhibition of CRH-stimulated ACTH release, and CRH release, but basal secretion is not affected. Protein synthesis is not required, implying that the glucocorticoid effect is non-genomic (208,209). Cell membrane-associated GR has recently been shown to directly mediate fast feedback inhibition by inhibition of Src phosphorylation in corticotrophs (210), but other work implicates the GC-induced secretion of annexin 1/lipocortin1 from folliculostellate cells as a paracrine mechanism for inhibition of ACTH release (211). In addition, receptors for ACTH (MC2R) are present in normal corticotrophs, allowing ‘ultra-fast’ feedback regulation of the HPA axis (212). The receptor expression is lost in the corticotroph adenomas of patients with Cushing’s disease, which could be the potential mechanism of resistance to feedback of the HPA axis seen in these patients (212).

 

Intermediate feedback occurs within 4 hours’ time frame and involves inhibition of CRH synthesis and release from CRH neurons, not affecting ACTH synthesis (209). However, it is thought that this is a relatively minor contributor to negative feedback (73). Slow feedback occurs over longer timeframes and involves inhibition of POMC transcription (209), via GR antagonism of Nur response element activation of POMC transcription by CRH. The molecular mechanism involves a GR-dependent recruitment of the histone deacetylase HDAC2 to a trans-repressor complex with Brg1, histone H4 deacetylation, and chromatin remodeling (213,214).

 

There is evidence that ACTH can inhibit CRH synthesis in the context of elevated CRH levels due to Addison’s disease or hypopituitarism, although not in the context of normal human subjects (215). Immunohistochemical studies of the paraventricular nuclei in adrenalectomized or hypophysectomized rats show a reduction of CRH and AVP positive cells when these rats are given ACTH infusions (216).

 

Glucocorticoids have also been shown to control the cell cycle in corticotrophs. This occurs via feedback repression of the positive cell-cycle regulators L-Myc, N-Myc, and E2F2, plus activation of the negative cell-cycle regulators Gadd45b, GADD45g, and Cables1. In this way, glucocorticoids negatively regulate corticotroph proliferation, a key influence which appears to be lost in corticotroph adenomas (217).

 

Eating

 

Cortisol is well known to rise after eating (218,219). This rise is provoked by two mechanisms: (i) by direct stimulation of the HPA axis; and (ii) via regeneration of cortisone to cortisol by stimulation of 11β-hydroxysteroid dehydrogenase type 1 (11βHSD1) (220). The postprandial rise in cortisol has been shown to be mediated via increased pituitary ACTH secretion, which is in turn is modulated by central stimulant alpha-1 adrenoreceptors (221). The cortisol response to food is also enhanced in obese subjects compared to normal BMI individuals (222).

 

There also appear to be key differences between the effects of individual macronutrients, where carbohydrates lead to equal stimulation of the HPA axis and 11βHSD1, and where fat and protein led to greater stimulation of the HPA axis compared to 11βHSD1. Direct intravenous infusion of macronutrients such as Intralipid and amino acids does not stimulate cortisol secretion (223,224). The most likely candidates for the factors that mediate stimulation of the HPA axis after eating are the gut hormones which are released in response to enteral nutrients. For example, glucagon-like peptide-17-36 (GLP-17-36) has been shown to stimulate cortisol and ACTH secretion, suggesting a direct effect on the hypothalamus/pituitary (225-227). Gastric inhibitory peptide (GIP), however, has not been shown to stimulate cortisol secretion except in the special case of ectopic GIP receptors in bilateral adrenal hyperplasia, causing food-stimulated Cushing’s syndrome (228). 11HSD1 activity appears to be inhibited by GIP (229), therefore suggesting the GIP is not a key player in mediating the post-prandial rise in cortisol. Although ghrelin has been shown to increase cortisol secretion when given in infusion (108-110), ghrelin is suppressed after eating, making it an unlikely mediator of the post-prandial cortisol response.

 

AGING OF THE HPA AXIS

 

Studies in humans and experimental animals have shown evidence that hyperactivity of the HPA axis contributes to neuronal and peripheral deterioration associated with aging (230,231). Hyperactivity of the HPA axis can be caused by stress and is necessary as part of physiological adaptation. However, there must be mechanisms to limit the response to stress, especially during chronic stress, in order to avoid the damaging effects of prolonged exposure to stress hormones such as CRH and corticosterone.

 

High basal levels of glucocorticoids and loss of circadian rhythm have been associated with greater cognitive decline at a given age (232). Aging is associated with high basal levels of circulating corticosteroids, although there is not always a correlation between plasma ACTH and corticosteroids (233-235). In addition, there is also an alteration to the circadian rhythm of the HPA axis, as demonstrated by studies using a feeding-associated circadian rhythm paradigm. It was found that it took 1 week for young rats and 3 weeks for older rats to entrain the secretion of corticosterone in response to a restricted feeding schedule where they were fed for 2 hours per day. After the rats were shifted to a different pattern of feeding, the entrained circadian rhythm of corticosterone secretion persisted much longer in young rats than in older rats. This suggests that the aged HPA axis appears to take longer to adjust to changes in circadian rhythm, but such adjustments do not ‘stick’ as well as compared to the younger HPA axis (236,237).

 

When the expression of CRH in the SCN was examined using in situ hybridization, younger 3-4-month-old Sprague-Dawley rats exposed to light from 04.00h to 18.00h have a clear diurnal rhythm with higher expression seen in samples taken at 03.00h versus 23.00h. This rhythm was lost in older 17-20 month old rats with equal expression seen in samples from 03.00h and 23.00h (174).  Fetal grafts containing the SCN have been shown to restore the circadian rhythm in old Sprague-Dawley rats, thereby suggesting that the altered diurnal variation of HPA axis probably involves alterations in the function of the suprachiasmatic nuclei (238).

 

Aging is also associated with an increase in expression of 11HSD1 both in brain and peripheral tissues (239,240). Such changes could conceivably expose tissues to elevated levels of glucocorticoids and contribute to the aging process.

 

The effects of aging on CRH regulation and whether CRH influences the course of aging are still unclear. Studies have reported increased, unchanged, or reduced hypothalamic CRH release and expression during aging (232).

 

GENDER DIFFERENCES IN HPA AXIS REGULATION

 

Endogenous glucocorticoid responses to stress are significantly elevated (in an estrogen-dependent fashion) in females as compared with males (241-244). This estrogen dependence is likely mediated through estrogen-response elements within the promoter regions of CRH (245). As previously noted, there is also a sexual differential in the relationship between AVP release and the ACTH/cortisol response during insulin tolerance testing where the serum levels of copeptin (as a marker of AVP release) positively correlate with ACTH/cortisol release in women but not men (72). However, the sexual dimorphism of the stress response is not seen with exercise-induced stress (246) nor acute psychological stress (247).

 

PSYCHONEUROENDOCRINOLOGY OF HPA

 

The link between the HPA axis and psychophysiopathology has long been speculated (248). Neuropsychological disturbances are well observed in humans and study models with abnormal or aberrant HPA axis.

 

Depression is associated with increased inflammation and given that HPA axis is strictly implicated in inflammation, it is hypothesized that alteration in HPA axis is associated with increase in pro-inflammatory cytokines causing depression, at least with a subgroup of individuals with depression (249). In depression, it is hypothesized that the regulation of ACTH and cortisol secretory activity are altered, along with impaired corticosteroid receptor signaling (250,251). Dysregulation of the HPA axis contributes to suppression of transcription of the brain-derived neurotrophic factor (BDNF) gene, thereby reducing the synthesis and secretion of BDNF protein, a nerve growth factor family (252). This leads to neurodegenerative changes, most prominently in hippocampus, observed in depression. Chronic excess of cortisol in the brain may also lead to serotonin deficiency due to decreased availability of tryptophan, the substrate for serotonin production, and reduction of density and reactivity of serotonin receptors (252). The use of antidepressants targeting this aspect of neurotransmission has shown to normalize the activity of HPA axis, decreasing the levels of CRH and consequently also ACTH and cortisol (252).

 

Some depressed patients were also reported to have enlarged adrenal glands (253,254) and impaired negative feedback with the hypercortisolemia, thereby suggesting that the level of impairment is at the glucocorticoid receptor-dependent negative feedback, either centrally or at the level of pituitary (255,256). However, when a study looking at 24-hour automated blood cortisol sampling study in depressed premenopausal women was conducted, it found only 6 patients (24%) of a cohort of 25 to have hypercortisolemia (257). This suggests that not all depressed patients will have hypercortisolemia as the main feature of dysregulation of HPA axis. The impairment of the negative feedback was hypothesized to be due to the diminished sensitivity of the glucocorticoid receptors (the ‘glucocorticoid resistance’ theory) secondary to reduced receptor function and expression, shown in large number of experimental, biological and molecular studies (258).

 

In bipolar disorder, an increase in cortisol secretion may be seen in the manic phase (259). Interestingly, a weaker cortisol awakening response is observed in patients with depression, mania and partial remission against those of healthy control subjects (260), thereby indicating dysregulation of HPA axis in bipolar disorder subjects.

 

In schizophrenia, individuals who developed or at risk of developing psychosis have been observed to have elevated levels of cortisol measured upon waking up (261,262). The disturbance is more pronounced in individuals not treated with antipsychotic medications. Elevated cortisol levels appear to be correlated with the risk of a first psychotic episode (263), but symptom severity is only correlated with cortisol levels during the initial phase of psychosis (264-266). 

 

REGULATION OF GH RELEASE

 

Somatotroph Development and Differentiation

 

Somatotrophs make up approximately 50% of the cell population of the anterior pituitary and generally are concentrated in the lateral wings of the pituitary gland. These cells are characteristically acidophilic, polyhedral and immunopositive for GH and Pit-1. A smaller number of such cells are mammo-somatotrophs, i.e. immunopositive for GH and prolactin (267).

 

During the process of cell differentiation in the Rathke’s pouch primordium, a cascade of transcription factors is activated to specify anterior pituitary cell types. The two factors particularly involved in differentiation of the lactotroph, somatotroph, and thyrotroph lineages are Prop-1 (Prophet of Pit-1) and Pit-1, also known as GHF-1 and Pou1f1. Prop-1 is a paired-like homeodomain transcription factor; mutations in this gene cause combined GH, prolactin, and TSH deficiency. Mutations of Prop-1 will also give abnormalities of gonadotroph function and, occasionally, corticotroph reserve. Interestingly, these deficiencies are often progressive over time. Pit-1 is part of the POU homeodomain family of transcription factors that includes unc-86, Oct-1, and Oct-2 (268). Pit-1 is a key transcription factor that activates GH gene transcription in the somatotroph (vide infra).

 

The transcription factor Foxo1 (forkhead box transcription factor) is expressed in 40% of somatotrophs. Foxo1 is involved in the development of various other tissues slow-twitch muscle fibers, bone and pancreas, and a global knockout is lethal. A pituitary-specific knockout of Foxo1 causes a delay in the terminal differentiation of somatotrophs but does not affect commitment of pituitary progenitor cells to the somatotroph lineage (269). Foxo1 exerts its effect via stimulation of NeuroD4 expression which is also important to the terminal differentiation of somatotrophs (270).

 

Growth Hormone (GH)

 

GH GENOMIC LOCUS

 

Human GH was first isolated in 1956 (271) and the structure of the peptide was elucidated fifteen years later (272). Human GH is a 191 amino acids single chain peptide with two disulphide bonds and molecular weight of 22,000 daltons. The GH locus, a 66 kb region of DNA, is located on chromosome 17q22-q24 and consists of 5 homologous genes, which appear to have been duplicated from an ancestral GH-like gene (Table 1) (273,274).

 

Table 1. The Five Genes in the GH Locus

Gene

Product

Variant(s)

Expressed in

References

hGH-N or GH1

Normal GH

2 alternatively spliced variants (97):

22 kDa (full-length 191 aa).

20 kDa (lacking residues 32-46)

Anterior pituitary

(275)

hGH-V or GH2

Variant GH detectable in pregnancy from mid-term to delivery (276,277)

20 kDa

Placental syncytiotrophoblast cells

(278)

CSH-1, CSH-2

Chorionic somatotropin/human placental lactogen

22 kDa

Placental syncytiotrophoblast cells

(279,280)

CSH-like gene CSHL-1

Non-functional proteins

Many alternatively spliced variants

 

(281)

 

STRUCTURE OF THE GH PROMOTER

 

Because of their origin from an ancestral GH-like gene, all five genes in the GH genomic locus share 95% sequence identity including their promoters (282): proximal elements in the promoter bind Pit-1/GHF-1 (283-286). Pit-1 plays a central role in controlling the expression of hGH-NN gene. Inactivation or lack of functional Pit-1 expression in both mice and human inhibits the differentiation and proliferation of the pituitary cells (287). Although Pit-1 is necessary for transcription of transfected GH1 genes in rat pituitary cells, it is not sufficient (288). Other transcription factors such as Sp1, CREB, and the thyroid hormone receptor are involved (285,289,290).

 

A placenta-specific enhancer found downstream of the CSH genes (291) as well as pituitary-specific repressor sequences found upstream of GH2, CSH-1 and -2, and CSHL-1  may serve to limit transcription of these particular genes to the placenta (292).

 

A locus control region consisting of two DNase-I hypersensitive regions (HS), specifically HG-I site, 14.5 and 30 kb upstream of GH1 appears to be required for pituitary-specific GH1 expression (293). This region, which also binds Pit-1 (294), activates histone acetyltransferase, which controls chromatin structure and the accessibility of the GH locus to transcription factors (295,296). The acetylated histone domain potentiates GH transcription and, more recently, HS-I was also shown to be crucial for establishing a domain of non-coding polymerase II transcription necessary for gene activation (297).

 

Pit-1 is mainly expressed in the pituitary somatotrophs, but it has also notably been demonstrated to be expressed in extrapituitary tissues. Pit-1 regulates local GH expression in the mammary gland and may be involved in mammary development and possibly the pathogenesis of breast carcinoma (298).

 

GROWTH HORMONE STRUCTURE

 

This is a 191 amino acid single chain polypeptide hormone that occurs in various modified forms in the circulation. During spontaneous pulses of secretion, the majority full-length isoform of 22 kDa makes up 73%, the alternatively spliced 20 kDa isoform contributes 16%, while the ‘acidic’ desamido and N-alpha acylated isoforms make up 10%. During basal secretion between pulses other forms (30 kDa, 16 kDa and 12 kDa) can also be identified which consist of immunoreactive fragments of GH (299-301).

 

Higher molecular weight forms of GH exist in the circulation, representing GH bound to growth hormone binding proteins (GHBP) (302). The high-affinity GHBP consists of the extracellular domain of the hepatic GH receptor, and this binds the 22 kDa GH isoform preferentially (303). This high-affinity GHBP is released into circulation by proteolytic processing of the GH receptor by the metalloprotease TACE/ADAM-17 (304). The low-affinity GHBP binds the 20 kDa isoform preferentially (305). Binding of GH to GHBP prolongs the circulation time of GH as the complex is not filtered by the glomeruli (300). GH/GHBP interactions may also compete for GH binding to its surface receptors (306).

 

GH is also expressed in other areas of the brain, such as the cortex, hippocampus, cortex, caudate nucleus, and retinal areas (307), as is the GH receptor, IGF-1, and the IGF-1 receptor, where it is thought that these mediate neuroprotective and regenerative functions (308).

 

HYPOPHYSIOTROPIC HORMONES AFFECTING GH RELEASE

 

GHRH

 

GHRH was originally isolated from a pancreatic tumor taken from a patient that presented with acromegaly and somatotroph hyperplasia (309). GHRH is derived from a 108 amino acid prepro-hormone to give GHRH (1-40) and (1-44) (Figure 6), which are both found in the human hypothalamus (310,311). The C-terminal 30-44 residues appear to be dispensable, as residues 1-29 show full bioactivity. GHRH binds to a seven-transmembrane domain G-protein coupled receptor that activates adenylate cyclase (312), which stimulates transcription of the GH gene as well as release of GH from intracellular pools (313,314). No other hormone is released by GHRH, although GHRH has homology to other neuropeptides such as PHI, glucagon, secretin and GIP (315).

 

Figure 6. Hypophysiotrophic hormones influencing GH release. The pathway of GPR101 leading to GH release is currently unclear therefore not shown on this figure.

 

Somatostatin

 

Somatostatin (a.k.a. somatotropin release inhibitory factor or SRIF) is derived from a 116 amino acid prohormone to give rise to two principal forms, somatostatin-28 and -14 (316). Both of these are cyclic peptides due to an intramolecular disulphide bond (Figure 6). Somatostatin has multiple effects on anterior pituitary as well as pancreatic, liver and gastrointestinal function:

 

  • It inhibits GH secretion directly from somatotrophs (317,318) and antagonizes the GH secretagogue activity of ghrelin (319).
  • It inhibits GH secretion indirectly via antagonizing GHRH secretion.
  • It inhibits GH secretion indirectly via inhibiting the secretion of ghrelin from the stomach (320-322).
  • It inhibits secretion of TSH and TRH stimulation of TSH secretion from the pituitary (323,324).
  • It inhibits the secretion of CCK, glucagon, gastrin, secretin, GIP, insulin and VIP from the pancreas (325).

 

Somatostatin binds to specific seven-transmembrane domain G-protein coupled receptors (SSTRs), of which there are at least 5 subtypes. SSTRs 2 and 5 are the most abundant in the pituitary (326). An immunohistochemical study on fetal pituitaries has shown that SSTR 2 is present from 13 weeks gestation, mainly on thyrotrophs and gonadotrophs. SSTR 5 is mainly found on somatotrophs and develops relatively late in gestation at 35-38 weeks of gestation, suggesting that SSTR 2 regulates TSH, LH and FSH whereas SSTR 5 regulates GH (327). The somatostatin receptors couple to various 2nd messenger systems such as adenylate cyclase, protein phosphatases, phospholipase C, cGMP dependent protein kinases, potassium, and calcium ion channels (328).

 

Ghrelin

 

Ghrelin is an orexigenic (appetite-stimulatory) peptide that was isolated from stomach and can stimulate the release of GH. It is derived from preproghrelin, a 117 amino acid peptide, by cleavage and n-octanoylation at the third residue to give a 28 amino acid active peptide (Figure 3 and Figure 6). Ghrelin is the endogenous ligand of the GH secretagogue receptor (GHS-R) 1a, another member of the seven-transmembrane receptor family G-protein coupled to the phospholipase C-phosphoinositide pathway (329,330). This variant of GHS-R has been shown to transduce the GH-releasing effect of synthetic growth hormone secretagogues (GHSs) as well as ghrelin and also plays a role in neuroendocrine and appetite-stimulating activities centrally. Both ghrelin and GHS-R1a have corresponding widespread tissue expression (331). The other GHS-R variant, GHS-R1b, is a 289 amino acid G-protein coupled receptor with five transmembrane domains. The biological function of GHS-R1b is unclear. It has widespread expression throughout the body (331) but does not bind to ghrelin or other GHSs. However, it was shown to have counter-regulatory attenuating role on GHS-R1a signaling, possibly via the formation of heterodimers with GHS-R1a (332).

 

The majority of circulating ghrelin exists as the des-octanoylated (des-acyl) form: octanoylated ghrelin constitutes approximately 1.8% of the total amount of circulating ghrelin (333). Octanoylation appears to be essential for GH secretagogue activity, as des-acyl ghrelin is inactive for GH release (329). The enzyme that octanoylates ghrelin has recently been identified as ghrelin O-acyltransferase (GOAT) (334). GOAT is a porcupine-like enzyme belonging to the super-family of membrane-bound O-acyltransferase 4 (MBOAT4) and has widespread tissue expression corresponding to ghrelin (335). Historically, the earliest GH secretagogues discovered such as GHRP-1, GHRP-2, GHRP-6, and hexarelin were synthetic and derived from the enkephalins (336).

 

In the circulation, ghrelin appears to be bound to a subfraction of HDL particles containing clusterin and the A-esterase paraoxonase. It has been suggested that paraoxonase may be responsible for catalyzing the conversion of ghrelin to des-acyl ghrelin (337). However, inhibition of paraoxonase in human serum does not inhibit the de-acylation of ghrelin, and there is a negative correlation in these sera between the paraoxonase activity and ghrelin degradation. Instead, it is more likely that butyrylcholinesterase and other B-esterases are responsible for this activity (338).

 

Ghrelin is present in the arcuate nucleus of the hypothalamus and in the anterior pituitary (339). Immunofluorescence studies show that ghrelin is localized in somatotrophs, thyrotrophs, and lactotrophs, but not in corticotrophs or gonadotrophs, suggesting that ghrelin may be acting in a paracrine fashion in the anterior pituitary (340). It stimulates GH release in vitro directly from somatotrophs (329) and also when infused in vivo, although the latter action appears to require the participation of an intact GHRH system (319). Ghrelin stimulates GH secretion in a synergistic fashion when co-infused with GHRH (110). Both GHS and ghrelin have been shown to stimulate the release of GH in a dose-related pattern which is more marked in humans than in animals (341,342).

 

Besides its GH releasing activity, ghrelin has orexigenic activity (343,344), and stimulates insulin secretion (345), ACTH and prolactin release (346). Knocking out the preproghrelin gene in mice does not seem to affect their size, growth rate, food intake, body composition, and reproduction, indicating that proghrelin products (acyl- or desacyl-ghrelin, obestatin) are not dominantly and critically involved in mouse viability, appetite regulation, and fertility (347), although subtle reductions in the amplitude of secretory GH peaks can be detected in these knockout mice during their youth: these differences recede with aging (348). Ghrelin null mice show an increased utilization of fat as an energy substrate when placed on a high-fat diet, which may indicate that ghrelin is involved in modulating the use of metabolic substrates (349). GHS-R knockout mice have the same food intake and body composition as their wild-type littermates, although their body weight is decreased in comparison. However, treatment of GHS-R null mice with ghrelin does not stimulate GH release or food intake, confirming that these properties of ghrelin are mediated through the GHS-R (350).

 

Although it is clear that acyl-ghrelin activates GH secretion when injected into mice and men, the specific contribution of acyl-ghrelin to physiological pulsatile GH release is less clear. This question has been studied by knocking out GOAT: these mice showed an overall decline in the amount of GH release compared to age matched wild-type mice. The alteration of the GH release observed did not coincide with alterations in the pituitary GH content and GHRH, somatostatin, neuropeptide Y, or GHS-R mRNA expression. However, an increase in pulse number and greater irregularity of GH pulses was observed in these mice. Although other mutations that cause derangement of GH secretion have been previously associated with the ‘feminization’ of the expression of GH-dependent sexually divergent liver genes in male animals, there was no evidence of this in the Goat-/- mice. An increase in IGF-1 in the circulation, in the liver and also in the muscle was observed in the Goat-/- mice, either as a result of the disordered GH pulse pattern, or because there was a failure of the elevated IGF-1 levels to feedback on GH release. Overall, the data suggest that acyl-ghrelin has a regulatory role in the patterning of GH secretion, but the absence of acyl-ghrelin does not fatally knock out GH production (351).

 

To complicate things further, des-acyl ghrelin may have biological effects of its own. It has been shown to inhibit apoptosis and cell death in primary cardiomyocyte and endothelial cell cultures (352), to have varying effects on the proliferation of various prostate carcinoma cell lines (353), to inhibit isoproterenol-induced lipolysis in rat adipocyte cultures (354), and to induce hypotension and bradycardia when injected into the nucleus tractus solitarii of rats (355). More controversially, intracerebroventricular or peripherally administered des-acyl ghrelin causes a decrease in food consumption in fasted mice and inhibits gastric emptying. Des-acyl ghrelin overexpression in transgenic mice causes a decrease in body weight, food intake, fat pad mass weight, and decreased linear growth compared to normal littermates (356).  These observations were not replicated by other researchers, who found no effect of des-acyl ghrelin on feeding (357). The effects of des-acyl ghrelin appear not to be mediated via the type 1a or 1b GHS-R (352-354). The effects of peripherally administered des-acyl ghrelin on stomach motility can be inhibited by intracerebrovascular CRH receptor type 2 antagonists, suggesting that CRH receptor type 2 is involved, but there is no direct evidence that des-acyl ghrelin binds this receptor (358)

 

As noted above, the GH-stimulatory actions of ghrelin in vivo seem to require an intact GHRH system, as immunoneutralization of GHRH blocks ghrelin-induced GH secretion (319). The actions of GH secretagogues are blocked by hypothalamo-pituitary disconnection, which suggests that in vivo ghrelin’s stimulatory actions are indirect and mediated by GHRH (359). However, GHRH cannot be the sole mediator of ghrelin’s actions as the GH response to ghrelin is greater than that to GHRH (360), and, as noted above, ghrelin synergistically potentiates GH release by a maximal dose of GHRH (110). There is no evidence to suggest that ghrelin decreases somatostatinergic tone as immunoneutralization of somatostatin does not block ghrelin’s ability to release GH (319). There may therefore be another mediator, the so-called ‘U’ factor, released by ghrelin, which causes GH secretion (361).

 

Macimorelin (also known as Ghryelin) is an orally available ghrelin receptor (GHSR) agonist which is now validated for stimulation testing for GH reserve (362).

 

LEAP2

 

Liver-expressed antimicrobial peptide 2 (LEAP2) has recently been discovered as an endogenous antagonist to GHSR(363). It is produced in the small intestines, mainly in the jejunum (363). Level of LEAP2 declines with fasting, as opposed to the level of ghrelin which goes up (363,364). In addition, the expression of LEAP2 is significantly upregulated following bariatric surgery, which is currently the most effective treatment for obesity (363). In vivo studies have shown that LEAP2 is capable of inhibiting the effects of ghrelin on GH secretion and food intake (363). LEAP2 is also shown to bind to GHSR in a non-competitive manner to ghrelin, thereby suggesting the presence of an allosteric site on the receptor (363).

 

Obestatin

 

As mentioned earlier, the effects of obestatin on pituitary hormones release remain controversial. Initial study has shown that intravenous or intracerebrovascular treatment of obestatin did not affect the release of growth hormone in male rats (116). However, a more recent study has shown that obestatin treatment inhibits both basal and ghrelin-induced GH release and expression, both in vitro and in vivo in non-human primates and in mice (119). This inhibitory effect is mediated by the adenylyl-cyclase and MAPK pathways. Obestatin treatment causes a reduction in Pit-1 and GHRH-R mRNA levels in the pituitary as well as a decrease in hypothalamic GHRH and ghrelin expression. Obestatin also reduces the expression of pituitary somatostatin receptors, namely SSTR subtypes 1 and 2 (119).  

 

OTHER INFLUENCES ON GROWTH HORMONE RELEASE

 

Glucocorticoids and Sex Hormones

 

Glucocorticoid treatment has a biphasic effect on GH secretion: an initial acute stimulation in 3 hours, followed by suppression within 12 hours (365,366). The latter is the clinically important effect, as excess endogenous and exogenous glucocorticoids are well known to suppress growth in children (367). The inhibitory effect of glucocorticoids on GH release is possibly mediated by increase in expression of somatostatin (368).

 

Sex hormones are also involved in regulating GH release particularly during puberty and also later in life. They affect GH release by acting at hypothalamic, pituitary, and peripheral levels. Both estrogen and testosterone increase GH secretion in humans by amplifying secretory burst mass and reduce the orderliness of GH secretion (369). Estrogen affects GH secretion mainly by interacting with the estrogen receptor-alpha expressed in the GHRH neurons and in the GH-secreting pituitary cells. The stimulatory effects of estrogen on GH secretion are possibly mediated by the release of GHRH and/or by enhancing the sensitivity to ghrelin released from the hypothalamus (370).  Estrogen increases the irregularity in pulsatility and lowers total and free IGF-1. Although estrogen increases the secretion of GH, it is also known to counter-regulate itself by reducing GH sensitivity in the liver and other peripheral organs, hence decreasing the secretion of IGF-1. The mechanism of this effect is via upregulating the SOCS-2 protein which in turn inhibits the JAK1-STAT5 signal transduction pathway of the GHR (371). GH deficient patients started on estrogen therapy therefore require a higher dose of GH replacement therapy to achieve a particular target IGF-1 level (372). The route of estrogen replacement is an important influence on GH requirement and those on oral estrogen are clearly more GH resistant than women using transdermal preparations (373,374). Testosterone, on the other hand, increases basal GH secretion and IGF-1 concentrations, thus relieving the negative feedback on GH secretion (369).

 

Leptin

 

Leptin is a 167 amino acid anorexigenic peptide primarily produced by white adipose tissue (375), regulates body fat mass (376) by feedback inhibition of the appetite centers of the hypothalamus (377). Leptin and its receptor have been detected both by RT-PCR and immunohistochemistry in surgical pituitary adenoma specimens and in normal pituitary tissue (378,379). However, pituitary adenoma cells in culture do not secrete GH in response to leptin treatment (379,380).

 

Leptin increases GH secretion in the short term, mainly via an increase in GHRH secretion and decrease in somatostatin expression. In the long term, it leads to a decrease in GH secretion, probably reducing GHRH sensitivity (381). In obese subjects, in whom which plasma leptin levels are persistently elevated, GH secretion and responsiveness are reduced in both animals and humans (382). However, if leptin-deficient obese subjects are studied in parallel with sex and BMI-matched leptin-replete obese subjects, it is found that their GH responses to GHRH and GHRP-6 are equally blunted suggesting that the leptin is not influential in mediating the hyposomatotropinism of obesity (383).

 

IGSF1

 

IGSF1 (X-linked immunoglobulin superfamily, member 1) gene encodes a transmembrane immunoglobulin superfamily glycoprotein that is highly expressed in the Rathke’s pouch, adult anterior pituitary cells, and the hypothalamus. Loss of function mutations in IGSF1 result in a variable spectrum of anterior pituitary dysfunction, including central hypothyroidism and hypoprolactinemia (384,385). More recently, effects of IGSF1 deficiency on somatroph function were characterized in adult males harboring hemizygous IGSF1 loss-of-function mutations and Igsf1-deficient mice (386). It was shown that IGFS1-deficient patients develop acromegaloid facial features accompanied by elevated IGF-1 concentrations and GH profile. Similar biochemical profiles were also observed in the male Igsf1-deficient mice. The exact mechanism of how IGSF1 regulates or influence GH secretion has not been elucidated.

 

Kisspeptin

 

Kisspeptin is a peptide hormone that binds to the G-protein coupled receptor GPR54. Although it was originally characterized as a ‘metastasis suppressor’ gene, its most well-characterized role is in stimulating the secretion of GnRH from GnRH neurons, in turn leading to gonadotrophin production from pituitary gonadotrophs. In addition to this, kisspeptin stimulates GH release from somatotrophs (387,388). These positive effects of kisspeptin are seen when given in vivo to cows or sheep (389), but so far have not been seen when given intravenously in small studies in human volunteers (390), although this may be because the GH stimulatory effects are only observed with central administration.

 

Catecholamines

 

In general, alpha-adrenergic pathways stimulate GH secretion, by stimulation of GHRH release and inhibition of somatostatinergic tone, while beta-adrenergic pathways inhibit secretion by increasing somatostatin release (391,392). The alpha2-adrenoceptor agonist clonidine can therefore be used as a provocative test of GH secretion (393,394)although clinical experience suggests that this is an unreliable stimulatory test for GH secretion in practice. L-dopa stimulates GH secretion; however, this action does not appear to be mediated via dopamine receptors as specific blockade of these receptors with pimozide does not alter the GH response to L-dopa (395). Instead, L-dopa’s effects appear to depend on conversion to noradrenaline or adrenaline, as alpha-adrenoceptor blockade with phentolamine disrupts the GH response to L-dopa (396).

 

Acetylcholine

 

Muscarinic pathways are known to stimulate GH secretion, probably by modulating somatostatinergic tone (397). Pyridostigmine, an indirect agonist which blocks acetylcholinesterase, increases the 24 hour secretion of GH by selectively increasing GH pulse mass (398). On the other hand, the muscarinic antagonist atropine is able to blunt the GH release associated with slow wave sleep (399) and that associated with GHRH administration (400). Passive immunization with anti-somatostatin antibodies abolishes the pyridostigmine induced rise in GH in rats, but not immunization with anti-GHRH antibodies, supporting the central role of somatostatinergic tone in mediating this response (401).

 

Dopamine

Continuous infusion of dopamine into normal healthy men leads to an increase in mean GH secretion comparable to that observed with GHRH. When given together, dopamine and GHRH have additive effects on GH secretion, and similarly the dopamine agonist bromocriptine augments the effects of GHRH (402).

 

Endogenous Opioids

 

Endorphins and enkephalins are able to stimulate GH secretion in man (403), and blockade with opiate antagonists can attenuate the GH response to exercise (404). Passive immunization against GHRH in rats inhibits GH release in response to an enkephalin analogue, which argues for stimulation of GHRH in response to these compounds (405). In keeping with this, a recent study demonstrated close juxtapositions between the enkephalinergic/ endorphinergic/ dynorphinergic axonal varicosities and GHRH-immunoreactive perikarya in the human hypothalamus (406). Morphologically, the majority of contacts between the GHRH perikarya and endogenous opiates were enkephalinergic while only few dynorphin- and endorphin-GHRH interactions were detected. Enkephalinergic-GHRH interactions and fibers are known to be densely populated in the infundibular nucleus and anterior periventricular area, thereby suggesting that enkephalin regulates not only the activity of GHRH- but also somatostatin-synthesizing neurons (407). The balance between the activation of GHRH and somatostatin neuronal systems may determine if enkephalin stimulates or inhibits or has no effect on pituitary GH secretion. Unfortunately, the study was unable to detect the presence of synapses between the enkephalinergic/ endorphinergic/ dynorphinergic and GHRH neurons because the immunocytochemistry was carried out under light microscope. Electron microscopy was not applied in the study due to the long post-mortem period. Nevertheless, these findings demonstrated the presence of intimate associations between the endogenous opioid and GHRH systems in the human hypothalamus, as well as indicated the significant differences between the regulatory roles of endogenous opioids on growth in humans.

 

Stimulation of GHRH by endorphins and enkephalins cannot be the only mechanism increasing GH release, however, as the met-enkephalin analogue DAMME is able to increase GH release over and above the levels released during maximal stimulation by a GHRH analogue (408). It is possible that the actions of endogenous opioids occur via an interaction with the GHS-R, as the original GH secretagogues characterized were derived from the enkephalins (336).

 

Endocannabinoids

 

As with ACTH/cortisol, the endocannabinoids may also influence the release of GH. Somatotroph cells bear the CB1 receptor (101). The administration of THC for 14 days suppresses GH secretion in response to hypoglycemia in healthy human subjects (104). Oddly enough, THC and anandamide appear to have opposing effects on GH levels in ovariectomized rats: THC increases and anandamide decreases GH secretion in this context (409). However, the treatment of anterior pituitary cells in primary culture with THC does not seem to influence the release of GH and prolactin to GHRH and TRH, suggesting that the effects of THC are mediated via the hypothalamus and not directly on the anterior pituitary (410), perhaps by stimulating somatostatin release (411).

 

Ghrelin and the Endocannabinoid System

 

Ghrelin and the endocannabinoid system interact in a bidirectional fashion. The intraperitoneal administration of cannabinoids results in increased plasma ghrelin levels and stomach ghrelin expression in rats (412) and CB1 receptor antagonism with rimonabant reduces ghrelin levels (413), suggesting that the orexigenic effects of cannabinoids may also be connected to an increase in ghrelin secretion from the gastric X/A-like cells. The effects of ghrelin on appetite were also abolished in CB1 knockout or in the presence of the CB1 antagonist rimonabant (414-416). In addition, the effects of cannabinoids are also abolished in the absence of the ghrelin receptor GHS-R1a (417). These findings confirm that both ghrelin and cannabinoid signaling pathways have to intact to mediate the effects of these two systems on appetite. Interestingly, in vivo and in vitro GH release is intact in response to ghrelin in CB1-knockout animals (415). These findings are intriguing because they suggest that the effects of ghrelin on GH release are somehow modulated differently at the receptor-binding stage of the pathway compared to its orexigenic and metabolic effects. Moreover, it has also been proposed that the bidirectional relationship of the ghrelin and endocannabinoid system might be potentially mediated by the interaction (e.g. heterodimerization) between GHS-R1a and CB1 receptors (417). However, further molecular and functional studies are needed to elucidate the exact mechanism of interaction between these two systems.

 

Free Fatty Acids

 

The negative feedback regulation of plasma free fatty acids on growth hormone secretion has long been studied (418). Low free fatty acids have been shown to stimulate GH release, although there is a lag period between these two phenomena. Similarly, high plasma levels of free fatty acids have been shown to stimulate splanchnic somatostatin, thereby affecting GH secretion (419). Studies on both hypothalamic and cortical cell cultures have shown marked decrease in somatostatin mRNA levels when both the neuronal cells are treated with free fatty acids, thereby indicating the possible role for free fatty acids in the regulation of the GH secretion centrally (420). 

 

Other Neuropeptides and Factors Affecting GH Secretion

 

Many neuropeptides, including the ones in the following paragraphs, have been shown to influence GH secretion in various contexts. For the most part, however, their physiological role in man is not well characterized.

 

Infusion of galanin, a 29 amino acid peptide originally isolated from the small intestine, causes stimulation of GH secretion when infused alone and also enhances GHRH-stimulated GH secretion (421).

 

Calcitonin, the 32 amino acid peptide secreted from the C cells of the thyroid gland, appears to inhibit the stimulated secretion of GH by GHRH, arginine, and insulin-induced hypoglycemia (422,423).

 

Neuropeptide Y (NPY) is an orexigenic peptide that has been shown to inhibit GH secretion in rats (424-426), from human somatotroph tumor cells in culture (427), and from rat hypothalamic explants (428). When infused into patients with prolactin-secreting pituitary adenomas, 9 out of 15 patients showed a paradoxical rise in GH levels (429). However, when infused into healthy young men overnight, NPY did not have any significant effect on GH secretion (430).

 

Pituitary adenylate cyclase-activating polypeptide (PACAP) is a hypothalamic C-terminally amidated 38 residue peptide hormone originally characterized on the basis of its ability to stimulate cAMP accumulation from anterior pituitary cells (431). In rats, PACAP stimulates GH release from pituitary cell lines and also when infused in vivo (432-434). When infused into human volunteers, however, GH levels do not appear to be affected (435).

 

Klotho, a transmembrane protein that is classically known for its ‘co-receptor’ activity with fibroblast growth hormone receptors, has recently been characterized as a possible secretagogue for GH. Although it is usually attached to membranes, the extracellular region can be shed from the cell surface, and there is some evidence for endocrine activity. Klotho knockout mice exhibit reduced growth in the context of a ‘early aging’ phenotype, and histopathological examination of their somatotrophs demonstrate reduced numbers of secretory granules. Klotho treatment of somatotrophs in vitro has been demonstrated to increase GH secretion, but at present its physiological role is yet to be fully elucidated (436).

 

GPR101, an orphan GPCR that is constitutively coupled to Gs, has been shown to induce GH secretion through the activation of protein kinase A and protein kinase C in the Gs and Gq/11 pathways (437). Transgenic mice with overexpression of pituitary-specific Gpr101 develops gigantism phenotype and has hypersecretion of GH, in the absence of pituitary hyperplasia or tumorigenesis, thereby indicating that the role of Gpr101 in the pituitary enhances secretion rather than enhancing proliferation (437). In humans, duplication of the GPR101 gene and thus, overexpression of GPR101, leads to a severe form of pituitary gigantism known as X-linked acrogigantism (X-LAG) (438-441). X-LAG is characterized by infant-onset somatotroph tumors or hyperplasia with high levels of GH and in most cases prolactin as well.

 

Nesfatins, and nesfatin-like-peptides, are hypothalamic and brainstem peptides speculated to be involved in energy homeostasis (442). They have been shown to inhibit GH release in mammalian somatotroph cell lines (443). Both of these peptides bind to the membrane of the GH3 cells, thereby indicating the possibility of a GPCR-mediated action (443). Interestingly, their effects on GH synthesis seem to be concentration-dependent, as low and high concentrations of nesfatins downregulate the expression of GH mRNA, while medium concentrations of nesfatins does not produce this effect (443). Their physiological significance in humans has not yet been established.

 

 

FEEDBACK LOOPS OF GH SECRETION

 

Multiple negative feedback loops exist to autoregulate the GH axis (Figure 7).

 

  • Somatostatin auto-inhibits its own secretion (444).
  • GHRH auto-inhibits its own secretion by stimulating somatostatin release (445).
  • GH auto-regulates its own secretion in short term by stimulating somatostatin release and inhibiting GHRH-stimulated GH release (446-448). There is also a negative feedback on stomach ghrelin release by GH (449). More recently, it is demonstrated that in long-term feedback situation, the inhibition of GH release is most likely due to feedback inhibition by IGF-1 (450).
  • IGF-1, whose production is stimulated by GH, inhibits GH release in a biphasic manner: (1) by stimulating hypothalamic somatostatin release early, and (2) by inhibiting GH release after 24 hours, probably by inhibiting GH mRNA transcription (451,452). Interestingly, IGF-1 infusion suppresses GHRH-induced GH release in males but not in females, suggesting a sexually dimorphic effect (450).

Figure 7. Regulation of GH. Green arrows denote stimulatory influences, red arrows denote inhibitory influences.

 

PHYSIOLOGY OF GH SECRETION

 

Pulsatility of GH Secretion

 

The secretory pattern of GH was first elucidated in rats (453). Circulating GH levels are pulsatile, with high peaks separated by valleys where the GH is undetectable by conventional RIAs or IRMAs (Figure 8). The recent development of sensitive chemiluminescent assays for GH with high frequency sampling and deconvolution analysis has allowed the detailed study of GH secretion. This shows that there are detectable levels of basal GH secretion in the ‘valleys’ (454). On average, there are 10 pulses of GH secretion per day lasting a mean of 96.4 mins with 128 mins between each pulse (455). The diurnal secretory pattern of GH in human is fully developed after puberty, demonstrating a major peak at late night/early morning which is associated with NREM (slow wave)-sleep, and a number of peaks during the light hours of the day, but with quite large individual difference (456).

 

Figure 8. Pulsatility of circulating GH levels in adult men and women.

 

There is a dynamic interplay of pulsatile GHRH and somatostatin secretion:

  • Via crosstalk: GHRH neurons receive inhibitory inputs from somatostatin neurons, whilst somatostatin neurons receive direct stimulatory inputs from GHRH neurons
  • Via synergistic actions on somatotrophs: Pre-exposure to somatostatin enhances GHRH-stimulated secretion of GH (457).

 

Further studies in animals have revealed that somatotropin releasing inhibiting factor regulates the magnitude of the troughs of GH as well as the amplitude of the peaks, whereas GHRH functions as the main regulator of the pulsatile pattern (450,458,459). Interestingly, continuous GHRH administration in human volunteers does not affect the pulsatility of GH secretion (460). Moreover, patients with an inactivating mutation of the GHRH receptor continue to show pulsatile GH secretion, suggesting that somatostatin pulsatility is sufficient to determine GH pulsatility (461). These observations suggest that the mechanisms involved in humans may differ from the animal models.

 

GH and Sexual Dimorphism

 

The technical developments in sensitive detection of GH and deconvolution analysis referred to above have elucidated differences in secretion between men and women. Women have higher mean GH levels throughout the day than men due to higher incremental and maximal GH peak amplitudes (Figure 8), but show no significant difference in GH half-life, interpulse times, or pulse frequency (462). The higher basal GH levels may underlie the higher nadir GH levels seen in normal women after GH suppression with oral glucose (463). Recent evidence suggests that there are sexual differences in the expression of somatostatin and somatostatin receptor subtypes in the rat pituitary, which would clearly cause differences in the physiological regulation of GH release (464).

 

Differences in GH secretion patterns between the sexes, with male ‘pulsatile’ secretion versus female ‘continuous’ secretion, can cause different patterns of gene activation in target tissues, e.g. induction of linear growth patterns, gain of body weight, induction of liver enzymes and STAT 5b signaling pathway activity (465).

 

GH and Aging

 

GH and IGF-1 levels are known to decline continuously with age and to very low levels in those aged ≥60 years (466). This phenomenon, known as the ‘somatopause’, is also seen in other mammals and has led to the speculation that GH treatment can be a potent anti-aging therapy (467). Conversely, decreased GH/IGF-1 signaling has also been shown to extend longevity in a wide variety of species such as worms, fruit flies, mice, and yeast (468), thus raising the question of whether decreased activity of the GH/IGF-1 axis might be beneficial for human longevity. Somatopause might therefore be nature’s way of sustaining the aging individual (469).

 

It is also suggested that the anorexia associated with aging is due to the decline in the level of acylated ghrelin in older adults. This is supported by a recent study that showed an age-dependent decline in both circulating acyl-ghrelin and growth hormone levels in older adults (aged 62-74 years, BMI range 20.9-29 kg/m2) compared to young adults (aged 18-28 years, BMI range 20.6-26.2 kg/m2) (470). By estimating the correlations between amplitudes of individual GH secretory events and the average acyl-ghrelin concentration in the 60-minute interval preceding each GH burst, the ghrelin/GH association was more than 3-fold lower in the older group compared with the young adults, thus suggesting that with normal aging, endogenous acyl-ghrelin levels are less tightly linked to GH regulation. In addition, ghrelin mimetics have also been shown to be a potential treatment for the musculoskeletal impairment associated with aging (471).

 

Sleep

 

The secretion rate of GH shows a circadian pattern, with peak rates measured during sleep. These are approximately triple the daytime rate (472). GH secretion is especially associated with slow wave sleep (SWS – stages 3 and 4) (473). Deep sleep is also shown to enhance the activity of GH axis and has an inhibitory effect on cortisol levels (474). The decline in GH secretion during aging is paralleled by the decreasing proportion of time spent in SWS, although it is unclear which is cause and which is effect (475). In early data from a clinical trial, GH deficient patients have increased sleep fragmentation and decreased total sleep time, and it is conjectured that such alterations in sleep patterns may be responsible for excessive daytime sleepiness in such patients (476).

 

Sleep deprivation, in the laboratory or due to travel causing ‘jet lag’, causes two alterations in the GH secretory pattern: the magnitude of secretory spikes is augmented: the return to pre-travel levels takes at least 11 days and is slower to recover after westward travel. The major pulse of GH secretion occurring in early sleep is also shifted to late sleep (477). It is also noted that the GH pulses are more equally distributed throughout 24 hours of sleep deprivation compared to a night-time sleep condition, with large individual pulses occurring during the day (478).

 

Administration of a GHRH antagonist reduces nocturnal GH pulsatility by 75% (479). Normal subjects remain sensitive to GHRH boluses during the night, however, and the lowering of somatostatinergic tone during the night may be responsible for the increase in GH secretion rate (480). Recent work, however, has also demonstrated that ghrelin levels rise through the night in lean men (481). It is likely, therefore, that a combination of increased GHRH, decreased somatostatin and increased ghrelin levels underlie the circadian variation in GH secretion.

 

Administration of GHRH augments increased nocturnal GH release and promotes SWS. Somatostatin does not change nocturnal GH release, and does not affect the proportion of SWS, but may increase rapid eye movement (REM) sleep density (482). Ghrelin has been shown to promote slow wave sleep at the expense of REM sleep, accompanied by an increase in GH and prolactin release when administered exogenously (483).

 

Exercise

 

Exercise is a powerful stimulus to secretion of GH (484), which occurs by about 15 min from the start of exercise (485). The kinetics may vary between subjects, an effect which is likely to be related to differences in age, sex and body composition (486). Ten minutes of high-intensity exercise is required to stimulate a significant rise in GH (487). Anaerobic exercise causes a larger release of GH than aerobic exercise of the same duration (488).

 

Acetylcholine, adrenaline, noradrenaline, and endogenous opioids have been implicated in exercise-induced GH release (397). However, ghrelin levels do not rise in acute exercise, indicating that ghrelin may not have a role to play in exercise-induced GH release (489).

 

Recent evidence also indicates that exercise enhances SWS and thus leads to increase in GH release as well as brain-derived neutrotrophic factors (BDNF) and IGF-1 gene expression and protein levels (490,491). This is thought to improve learning and memory performance, especially in the elderly (490,491). Sleep-deprived individuals seem to have a larger exercise-induced GH response, although the reason behind this is still unclear (492).

 

Hypoglycemia

 

Insulin-induced hypoglycemia is another powerful stimulus to GH secretion (Figure 9) (493,494). The peak GH levels achieved during insulin stress testing correlate well with those achieved during slow wave sleep (495). The hypoglycemic response is mediated by alpha2-adrenergic receptors (496) to cause inhibition of somatostatin release (397), although other evidence argues for a role of stimulated GHRH release, as a GHRH receptor antagonist significantly suppressed hypoglycemic GH release (497). Ghrelin is unlikely to be involved in the GH response to insulin-induced hypoglycemia as circulating ghrelin levels are suppressed by the insulin bolus (498).

 

Figure 9. Normal response of GH to insulin-induced hypoglycemia (≤2.2 mmol/l). Peak GH secreted is ≥6.66 µg/L.

 

Other Stressors

 

Other physical stresses such as hypovolemic shock (499) and elective surgery (500) cause increased GH release; alpha-adrenergic dependent mechanisms are thought to underly this, as blockade with phentolamine inhibits the response (500).

 

Hyperglycemia

 

In contrast to hypoglycemia, ingestion of an oral glucose load causes an initial suppression of plasma GH levels for 1-3 hours (Figure 10), followed by a rise in GH concentrations at 3-5 hours (501). The initial suppression could be mediated by increased somatostatin release as pyridostigmine, a postulated inhibitor of somatostatin release, blocks this suppression (502). Circulating ghrelin levels also fall following ingestion of glucose (503). The GH response to ghrelin and GHRH infusions is blunted by oral glucose, an effect that is probably mediated by somatostatin (504). The later rise in GH levels is postulated to be due to a decline in somatostatinergic tone plus a reciprocal increase in GHRH, leading to a ‘rebound’ rise (397).

 

Figure 10. GH response to 75g oral glucose in 8 non-acromegalic, non-diabetic women, given at time 0. Error bars denote SD. Note the high variability of the baseline GH level due to the pulsatile nature of GH secretion. GH levels fall to <0.4 µg/L at 120 minutes.

 

In type I diabetes mellitus, GH dynamics are disordered, with elevated 24 hour release of GH (505). Deconvolution analysis shows that GH pulse frequencies and maximal amplitudes are increased. The latter is accounted for by higher ‘valley’ levels (506). Better glycemic control appears to normalize these disordered dynamics (507). The pathophysiological mechanism appears to involve reduced somatostatinergic tone (397).

 

There is conflicting evidence for increased, decreased, or normal GH dynamics in type II diabetics. It is likely that this reflects two factors acting in opposite directions: (1) the confounding factor of obesity in these patients, which leads to hyposecretion of GH; and (2) the hyperglycemia, which leads to hypersecretion (397).

 

Dietary Restriction and Fasting

 

Dietary restriction and fasting lead to a significant increase in pituitary secretion of GH (508). A 5-day fast in normal healthy men resulted in a significant increase in the pulse frequency as well as pulse amplitude of GH release. This was coupled with a decrease in expression and secretion of IGF-1, which could explain the lack of feedback inhibitory effect on pituitary GH secretion in the fasting state.

 

Obesity and Malnutrition

 

Chronic malnutrition states such as marasmus and kwashiorkor cause a rise in GH levels (509). On the other hand, obesity is known to be associated with lower GH levels, partially due to decreased levels of GH binding protein and partially due to decreased frequency of GH pulses (510). Visceral adiposity, as assessed by CT scanning and dual energy X-ray absorptiometry, seems to be especially important, and correlates negatively with mean 24 hour GH concentrations (511). The mechanism of decreased GH release in obesity has been ascribed to increased somatostatinergic tone, as pyridostigmine is able to reverse this, to some extent, by suppressing somatostatin release (512-514). However, this cannot be the full explanation, as pyridostigmine is not able to fully reverse the hyposomatotropinism of obesity, even when combined with GHRH and the GH secretagogue GHRP-6 (515).

 

The fasting induced elevation in secretion of GH is blunted in obesity (516,517). Nevertheless, fasting in obese volunteers still induces an appreciable increase in GH secretion, with accompanying increase in lipolysis and insulin resistance. Co-administration of pegvisomant (a GH receptor antagonist) abrogated this phenomenon, suggesting that the elevation in GH during fasting is responsible for the insulin resistance induced by fasting (518).

 

Although leptin has been shown to be influential on GH secretion in rats (519), this may not be so in humans. Leptin-deficient subjects have been compared with obese non-deficient control subjects in their GH responses when stimulated with GHRH plus GHRP-6. Both these groups have decreased GH peaks compared to non-obese control subjects, as expected. There was no significant difference in mean GH peaks between leptin-deficient and leptin-replete controls, suggesting that leptin does not play a significant role in the GH suppression seen in obese humans, and that the decreased GH secretion of obesity is mediated via other mechanisms (383).

 

Another candidate for the mechanism linking obesity to GH secretion is ghrelin. Its levels correlate negatively with body fat content (520). A comparative study between 5 lean and 5 obese men employed rapid sampling and pulse analysis of ghrelin levels over 24 hours. Ghrelin levels increased at night in the lean controls but did not in the obese group (481). Weight loss caused circulating ghrelin levels to rise in two studies (521,522). Contradicting this, however, Lindeman and colleagues found that ghrelin levels paradoxically correlated positively with visceral fat area, in contrast with 24-hour GH secretion, which correlated negatively. Moreover, in their study, weight loss increased GH secretion but did not affect ghrelin levels (523). More recently, a study comparing subjects with central obesity only with subjects suffering from the metabolic syndrome showed changes in ghrelin levels not to be associated with central obesity per se but with other components of the metabolic syndrome (524). The response of GH secretion to exogenous ghrelin is significantly blunted in obese patients and this response is restored early on after Roux-en-Y gastric bypass (prior to any major weight loss), suggesting that there is an intrinsic resistance to ghrelin in obesity which is reversed with gastric bypass, and which is not linked to weight loss (525). Therefore, there does not appear to be a simple relationship where obesity-induced reduction in ghrelin levels leads to the reduced secretion of GH.

 

Amino Acids

 

GH release is stimulated by a protein meal (526). L-arginine, an essential amino acid, can be used as a provocative test for GH secretion (527). Evidence that L-arginine acts through inhibition of somatostatin release includes the observation that L-arginine can still enhance the GH response to GHRH despite the use of maximal doses of GHRH (528). However, a specific GHRH antagonist blunted the GH response to L-arginine, an observation that supports the notion that L-arginine also acts through stimulation of GHRH secretion (497). Unlike oral glucose, L-arginine does not modify the GH response to ghrelin infusion (504).

 

REFERENCES

 

  1. Marshall J. Control of Pituitary Hormone Secretion – Role of Pulsatility. In: Besser G, Thorner M, eds. Comprehensive Clinical Endocrinology. Edinburgh, UK: Mosby; 2002:19-34.
  2. Doniach I. Histopathology of the pituitary. Clin Endocrinol Metab. 1985;14(4):765-789.
  3. McKusick V, Phillips JI, Hamosh A, Tiller G, O'Neill M. Pro-opiomelanocortin. In: McKusick V, ed. Online Mendelian Inheritance in Man. Baltimore, MD, USA: Johns Hopkins University; 2007: http://www.ncbi.nlm.nih.gov:80/entrez/dispomim.cgi?id=176830. Accessed 20 Jan 2007
  4. Drouin J. 60 YEARS OF POMC: Transcriptional and epigenetic regulation of POMC gene expression. J Mol Endocrinol. 2016;56(4):T99-T112.
  5. Drouin J, Chamberland M, Charron J, Jeannotte L, Nemer M. Structure of the rat pro-opiomelanocortin (POMC) gene. FEBS Lett. 1985;193(1):54-58.
  6. Therrien M, Drouin J. Pituitary pro-opiomelanocortin gene expression requires synergistic interactions of several regulatory elements. Mol Cell Biol. 1991;11(7):3492-3503.
  7. Therrien M, Drouin J. Cell-specific helix-loop-helix factor required for pituitary expression of the pro-opiomelanocortin gene. Mol Cell Biol. 1993;13(4):2342-2353.
  8. Poulin G, Turgeon B, Drouin J. NeuroD1/beta2 contributes to cell-specific transcription of the proopiomelanocortin gene. Mol Cell Biol. 1997;17(11):6673-6682.
  9. Lamonerie T, Tremblay JJ, Lanctot C, Therrien M, Gauthier Y, Drouin J. Ptx1, a bicoid-related homeo box transcription factor involved in transcription of the pro-opiomelanocortin gene. Genes Dev. 1996;10(10):1284-1295.
  10. Lamolet B, Pulichino AM, Lamonerie T, Gauthier Y, Brue T, Enjalbert A, Drouin J. A pituitary cell-restricted T box factor, Tpit, activates POMC transcription in cooperation with Pitx homeoproteins. Cell. 2001;104(6):849-859.
  11. Langlais D, Couture C, Sylvain-Drolet G, Drouin J. A Pituitary-Specific Enhancer of the POMC Gene with Preferential Activity in Corticotrope Cells. Mol Endocrinol. 2011;25(2):348-359.
  12. Murakami I, Takeuchi S, Kudo T, Sutou S, Takahashi S. Corticotropin-releasing hormone or dexamethasone regulates rat proopiomelanocortin transcription through Tpit/Pitx-responsive element in its promoter. J Endocrinol.2007;193(2):279-290.
  13. Budry L, Balsalobre A, Gauthier Y, Khetchoumian K, L'Honore A, Vallette S, Brue T, Figarella-Branger D, Meij B, Drouin J. The selector gene Pax7 dictates alternate pituitary cell fates through its pioneer action on chromatin remodeling. Genes Dev. 2012;26(20):2299-2310.
  14. Ezzat S, Mader R, Yu S, Ning T, Poussier P, Asa SL. Ikaros integrates endocrine and immune system development. J Clin Invest. 2005;115(4):1021-1029.
  15. Aguilera G, Harwood JP, Wilson JX, Morell J, Brown JH, Catt KJ. Mechanisms of action of corticotropin-releasing factor and other regulators of corticotropin release in rat pituitary cells. J Biol Chem. 1983;258(13):8039-8045.
  16. Jin WD, Boutillier AL, Glucksman MJ, Salton SR, Loeffler JP, Roberts JL. Characterization of a corticotropin-releasing hormone-responsive element in the rat proopiomelanocortin gene promoter and molecular cloning of its binding protein. Mol Endocrinol. 1994;8(10):1377-1388.
  17. Autelitano DJ, Cohen DR. CRF stimulates expression of multiple fos and jun related genes in the AtT-20 corticotroph cell. Mol Cell Endocrinol. 1996;119(1):25-35.
  18. Loeffler JP, Kley N, Pittius CW, Hollt V. Calcium ion and cyclic adenosine 3',5'-monophosphate regulate proopiomelanocortin messenger ribonucleic acid levels in rat intermediate and anterior pituitary lobes. Endocrinology. 1986;119(6):2840-2847.
  19. Antoni FA. Interactions between intracellular free Ca2+ and cyclic AMP in neuroendocrine cells. Cell Calcium.2012;51(3-4):260-266.
  20. Jenks BG. Regulation of proopiomelanocortin gene expression: an overview of the signaling cascades, transcription factors, and responsive elements involved. Ann N Y Acad Sci. 2009;1163:17-30.
  21. Martens C, Bilodeau S, Maira M, Gauthier Y, Drouin J. Protein-protein interactions and transcriptional antagonism between the subfamily of NGFI-B/Nur77 orphan nuclear receptors and glucocorticoid receptor. Mol Endocrinol.2005;19(4):885-897.
  22. Boutillier AL, Monnier D, Koch B, Loeffler JP. Pituitary adenyl cyclase-activating peptide: a hypophysiotropic factor that stimulates proopiomelanocortin gene transcription, and proopiomelanocortin-derived peptide secretion in corticotropic cells. Neuroendocrinology. 1994;60(5):493-502.
  23. Karalis KP, Venihaki M, Zhao J, van Vlerken LE, Chandras C. NF-kappaB participates in the corticotropin-releasing, hormone-induced regulation of the pituitary proopiomelanocortin gene. J Biol Chem.2004;279(12):10837-10840.
  24. Asaba K, Iwasaki Y, Asai M, Yoshida M, Nigawara T, Kambayashi M, Hashimoto K. High glucose activates pituitary proopiomelanocortin gene expression: possible role of free radical-sensitive transcription factors. Diabetes Metab Res Rev. 2007;23(4):317-323.
  25. Suda T, Tozawa F, Yamada M, Ushiyama T, Tomori N, Sumitomo T, Nakagami Y, Demura H, Shizume K. Effects of corticotropin-releasing hormone and dexamethasone on proopiomelanocortin messenger RNA level in human corticotroph adenoma cells in vitro. J Clin Invest. 1988;82(1):110-114.
  26. Wardlaw SL, McCarthy KC, Conwell IM. Glucocorticoid regulation of hypothalamic proopiomelanocortin. Neuroendocrinology. 1998;67(1):51-57.
  27. Drouin J, Charron J, Gagner JP, Jeannotte L, Nemer M, Plante RK, Wrange O. Pro-opiomelanocortin gene: a model for negative regulation of transcription by glucocorticoids. J Cell Biochem. 1987;35(4):293-304.
  28. Drouin J, Sun YL, Chamberland M, Gauthier Y, De Lean A, Nemer M, Schmidt TJ. Novel glucocorticoid receptor complex with DNA element of the hormone-repressed POMC gene. Embo J. 1993;12(1):145-156.
  29. Autelitano DJ, Lundblad JR, Blum M, Roberts JL. Hormonal regulation of POMC gene expression. Annu Rev Physiol. 1989;51:715-726.
  30. Pozzoli G, Bilezikjian LM, Perrin MH, Blount AL, Vale WW. Corticotropin-releasing factor (CRF) and glucocorticoids modulate the expression of type 1 CRF receptor messenger ribonucleic acid in rat anterior pituitary cell cultures. Endocrinology. 1996;137(1):65-71.
  31. Parvin R, Saito-Hakoda A, Shimada H, Shimizu K, Noro E, Iwasaki Y, Fujiwara K, Yokoyama A, Sugawara A. Role of NeuroD1 on the negative regulation of Pomc expression by glucocorticoid. PLoS One. 2017;12(4):e0175435.
  32. Paez-Pereda M, Kovalovsky D, Hopfner U, Theodoropoulou M, Pagotto U, Uhl E, Losa M, Stalla J, Grubler Y, Missale C, Arzt E, Stalla GK. Retinoic acid prevents experimental Cushing syndrome. The Journal of clinical investigation. 2001;108(8):1123-1131.
  33. Frederic F, Chianale C, Oliver C, Mariani J. Enhanced endocrine response to novel environment stress and lack of corticosterone circadian rhythm in staggerer (Rora sg/sg) mutant mice. J Neurosci Res. 2006;83(8):1525-1532.
  34. Martin NM, Small CJ, Sajedi A, Liao XH, Weiss RE, Gardiner JV, Ghatei MA, Bloom SR. Abnormalities of the hypothalamo-pituitary-thyroid axis in the pro-opiomelanocortin deficient mouse. Regul Pept. 2004;122(3):169-172.
  35. Ray DW, Ren SG, Melmed S. Leukemia inhibitory factor (LIF) stimulates proopiomelanocortin (POMC) expression in a corticotroph cell line. Role of STAT pathway. J Clin Invest. 1996;97(8):1852-1859.
  36. Ray DW, Ren SG, Melmed S. Leukemia inhibitory factor regulates proopiomelanocortin transcription. Ann N Y Acad Sci. 1998;840:162-173.
  37. Mynard V, Guignat L, Devin-Leclerc J, Bertagna X, Catelli MG. Different mechanisms for leukemia inhibitory factor-dependent activation of two proopiomelanocortin promoter regions. Endocrinology. 2002;143(10):3916-3924.
  38. Bousquet C, Zatelli MC, Melmed S. Direct regulation of pituitary proopiomelanocortin by STAT3 provides a novel mechanism for immuno-neuroendocrine interfacing. J Clin Invest. 2000;106(11):1417-1425.
  39. Iwasaki Y, Taguchi T, Nishiyama M, Asai M, Yoshida M, Kambayashi M, Takao T, Hashimoto K. Lipopolysaccharide stimulates proopiomelanocortin gene expression in AtT20 corticotroph cells. Endocr J. 2008;55(2):285-290.
  40. Smith ZD, Meissner A. DNA methylation: roles in mammalian development. Nat Rev Genet. 2013;14(3):204-220.
  41. Newell-Price J, King P, Clark AJ. The CpG island promoter of the human proopiomelanocortin gene is methylated in nonexpressing normal tissue and tumors and represses expression. Mol Endocrinol. 2001;15(2):338-348.
  42. Benjannet S, Rondeau N, Day R, Chretien M, Seidah NG. PC1 and PC2 are proprotein convertases capable of cleaving proopiomelanocortin at distinct pairs of basic residues. Proc Natl Acad Sci U S A. 1991;88(9):3564-3568.
  43. Chretien M, Seidah NG. Chemistry and biosynthesis of pro-opiomelanocortin. ACTH, MSH's, endorphins and their related peptides. Mol Cell Biochem. 1981;34(2):101-127.
  44. Seidah NG, Chretien M. Complete amino acid sequence of a human pituitary glycopeptide: an important maturation product of pro-opiomelanocortin. Proc Natl Acad Sci U S A. 1981;78(7):4236-4240.
  45. Seidah NG, Rochemont J, Hamelin J, Benjannet S, Chretien M. The missing fragment of the pro-sequence of human pro-opiomelanocortin: sequence and evidence for C-terminal amidation. Biochem Biophys Res Commun.1981;102(2):710-716.
  46. Eipper BA, Mains RE. Structure and biosynthesis of pro-adrenocorticotropin/endorphin and related peptides. Endocr Rev. 1980;1(1):1-27.
  47. Bradbury AF, Smyth DG, Snell CR. Prohormones of beta-melanotropin (beta-melanocyte-stimulating hormone, beta-MSH) and corticotropin (adrenocorticotropic hormone, ACTH): structure and activation. Ciba Found Symp.1976;41:61-75.
  48. Barnea A, Cho G. Acetylation of adrenocorticotropin and beta-endorphin by hypothalamic and pituitary acetyltransferases. Neuroendocrinology. 1983;37(6):434-439.
  49. Vale W, Spiess J, Rivier C, Rivier J. Characterization of a 41-residue ovine hypothalamic peptide that stimulates secretion of corticotropin and beta-endorphin. Science. 1981;213(4514):1394-1397.
  50. Shibahara S, Morimoto Y, Furutani Y, Notake M, Takahashi H, Shimizu S, Horikawa S, Numa S. Isolation and sequence analysis of the human corticotropin-releasing factor precursor gene. Embo J. 1983;2(5):775-779.
  51. Sawchenko PE, Swanson LW. Localization, colocalization, and plasticity of corticotropin-releasing factor immunoreactivity in rat brain. Fed Proc. 1985;44(1 Pt 2):221-227.
  52. Deussing JM, Chen A. The Corticotropin-Releasing Factor Family: Physiology of the Stress Response. Physiol Rev. 2018;98(4):2225-2286.
  53. Perrin M, Donaldson C, Chen R, Blount A, Berggren T, Bilezikjian L, Sawchenko P, Vale W. Identification of a second corticotropin-releasing factor receptor gene and characterization of a cDNA expressed in heart. Proc Natl Acad Sci U S A. 1995;92(7):2969-2973.
  54. Chen R, Lewis KA, Perrin MH, Vale WW. Expression cloning of a human corticotropin-releasing-factor receptor. Proc Natl Acad Sci U S A. 1993;90(19):8967-8971.
  55. Takefuji M, Murohara T. Corticotropin-Releasing Hormone Family and Their Receptors in the Cardiovascular System. Circ J. 2019;83(2):261-266.
  56. Bale TL, Vale WW. CRF and CRF receptors: role in stress responsivity and other behaviors. Annu Rev Pharmacol Toxicol. 2004;44:525-557.
  57. DeBold CR, DeCherney GS, Jackson RV, Sheldon WR, Alexander AN, Island DP, Rivier J, Vale W, Orth DN. Effect of synthetic ovine corticotropin-releasing factor: prolonged duration of action and biphasic response of plasma adrenocorticotropin and cortisol. J Clin Endocrinol Metab. 1983;57(2):294-298.
  58. Tse A, Lee AK, Tse FW. Ca2+ signaling and exocytosis in pituitary corticotropes. Cell Calcium. 2012;51(3-4):253-259.
  59. Muglia L, Jacobson L, Dikkes P, Majzoub JA. Corticotropin-releasing hormone deficiency reveals major fetal but not adult glucocorticoid need. Nature. 1995;373(6513):427-432.
  60. Timpl P, Spanagel R, Sillaber I, Kresse A, Reul JM, Stalla GK, Blanquet V, Steckler T, Holsboer F, Wurst W. Impaired stress response and reduced anxiety in mice lacking a functional corticotropin-releasing hormone receptor 1. Nat Genet. 1998;19(2):162-166.
  61. Wang X, Su H, Copenhagen LD, Vaishnav S, Pieri F, Shope CD, Brownell WE, De Biasi M, Paylor R, Bradley A. Urocortin-deficient mice display normal stress-induced anxiety behavior and autonomic control but an impaired acoustic startle response. Mol Cell Biol. 2002;22(18):6605-6610.
  62. Neufeld-Cohen A, Tsoory MM, Evans AK, Getselter D, Gil S, Lowry CA, Vale WW, Chen A. A triple urocortin knockout mouse model reveals an essential role for urocortins in stress recovery. Proc Natl Acad Sci U S A.2010;107(44):19020-19025.
  63. Chen A, Zorrilla E, Smith S, Rousso D, Levy C, Vaughan J, Donaldson C, Roberts A, Lee KF, Vale W. Urocortin 2-deficient mice exhibit gender-specific alterations in circadian hypothalamus-pituitary-adrenal axis and depressive-like behavior. J Neurosci. 2006;26(20):5500-5510.
  64. Sugimoto T, Saito M, Mochizuki S, Watanabe Y, Hashimoto S, Kawashima H. Molecular cloning and functional expression of a cDNA encoding the human V1b vasopressin receptor. J Biol Chem. 1994;269(43):27088-27092.
  65. Raymond V, Leung PC, Veilleux R, Labrie F. Vasopressin rapidly stimulates phosphatidic acid-phosphatidylinositol turnover in rat anterior pituitary cells. FEBS Lett. 1985;182(1):196-200.
  66. Abou-Samra AB, Catt KJ, Aguilera G. Involvement of protein kinase C in the regulation of adrenocorticotropin release from rat anterior pituitary cells. Endocrinology. 1986;118(1):212-217.
  67. Plotsky PM. Hypophysiotropic regulation of stress-induced ACTH secretion. Adv Exp Med Biol. 1988;245:65-81.
  68. Bilezikjian LM, Woodgett JR, Hunter T, Vale WW. Phorbol ester-induced down-regulation of protein kinase C abolishes vasopressin-mediated responses in rat anterior pituitary cells. Mol Endocrinol. 1987;1(8):555-560.
  69. Levin N, Blum M, Roberts JL. Modulation of basal and corticotropin-releasing factor-stimulated proopiomelanocortin gene expression by vasopressin in rat anterior pituitary. Endocrinology. 1989;125(6):2957-2966.
  70. Morgenthaler NG, Struck J, Alonso C, Bergmann A. Assay for the measurement of copeptin, a stable peptide derived from the precursor of vasopressin. Clin Chem. 2006;52(1):112-119.
  71. Lewandowski KC, Lewinski A, Skowronska-Jozwiak E, Stasiak M, Horzelski W, Brabant G. Copeptin under glucagon stimulation. Endocrine. 2016;52(2):344-351.
  72. Kacheva S, Kolk K, Morgenthaler NG, Brabant G, Karges W. Gender-specific co-activation of arginine vasopressin and the hypothalamic-pituitary-adrenal axis during stress. Clin Endocrinol (Oxf). 2015;82(4):570-576.
  73. Evans AN, Liu Y, Macgregor R, Huang V, Aguilera G. Regulation of hypothalamic corticotropin-releasing hormone transcription by elevated glucocorticoids. Mol Endocrinol. 2013;27(11):1796-1807.
  74. Guardiola-Diaz HM, Kolinske JS, Gates LH, Seasholtz AF. Negative glucorticoid regulation of cyclic adenosine 3', 5'-monophosphate-stimulated corticotropin-releasing hormone-reporter expression in AtT-20 cells. Mol Endocrinol.1996;10(3):317-329.
  75. Malkoski SP, Dorin RI. Composite glucocorticoid regulation at a functionally defined negative glucocorticoid response element of the human corticotropin-releasing hormone gene. Mol Endocrinol. 1999;13(10):1629-1644.
  76. Malkoski SP, Handanos CM, Dorin RI. Localization of a negative glucocorticoid response element of the human corticotropin releasing hormone gene. Mol Cell Endocrinol. 1997;127(2):189-199.
  77. Drouin J, Sun YL, Nemer M. Glucocorticoid repression of pro-opiomelanocortin gene transcription. J Steroid Biochem. 1989;34(1-6):63-69.
  78. Drouin J, Trifiro MA, Plante RK, Nemer M, Eriksson P, Wrange O. Glucocorticoid receptor binding to a specific DNA sequence is required for hormone-dependent repression of pro-opiomelanocortin gene transcription. Mol Cell Biol. 1989;9(12):5305-5314.
  79. Reul JM, de Kloet ER. Two receptor systems for corticosterone in rat brain: microdistribution and differential occupation. Endocrinology. 1985;117(6):2505-2511.
  80. Reul JM, de Kloet ER. Anatomical resolution of two types of corticosterone receptor sites in rat brain with in vitro autoradiography and computerized image analysis. J Steroid Biochem. 1986;24(1):269-272.
  81. Reul JM, van den Bosch FR, de Kloet ER. Relative occupation of type-I and type-II corticosteroid receptors in rat brain following stress and dexamethasone treatment: functional implications. The Journal of endocrinology.1987;115(3):459-467.
  82. Edwards CR, Stewart PM, Burt D, Brett L, McIntyre MA, Sutanto WS, de Kloet ER, Monder C. Localisation of 11 beta-hydroxysteroid dehydrogenase--tissue specific protector of the mineralocorticoid receptor. Lancet.1988;2(8618):986-989.
  83. Ratka A, Sutanto W, Bloemers M, de Kloet ER. On the role of brain mineralocorticoid (type I) and glucocorticoid (type II) receptors in neuroendocrine regulation. Neuroendocrinology. 1989;50(2):117-123.
  84. van Haarst AD, Oitzl MS, de Kloet ER. Facilitation of feedback inhibition through blockade of glucocorticoid receptors in the hippocampus. Neurochem Res. 1997;22(11):1323-1328.
  85. Brownstein MJ, Russell JT, Gainer H. Synthesis, transport, and release of posterior pituitary hormones. Science.1980;207(4429):373-378.
  86. Legros JJ, Chiodera P, Demey-Ponsart E. Inhibitory influence of exogenous oxytocin on adrenocorticotropin secretion in normal human subjects. J Clin Endocrinol Metab. 1982;55(6):1035-1039.
  87. Legros JJ, Chiodera P, Geenen V, von Frenckell R. Confirmation of the inhibitory influence of exogenous oxytocin on cortisol and ACTH in man: evidence of reproducibility. Acta Endocrinol (Copenh). 1987;114(3):345-349.
  88. Lewis DA, Sherman BM. Oxytocin does not influence adrenocorticotropin secretion in man. J Clin Endocrinol Metab. 1985;60(1):53-56.
  89. Antoni FA, Holmes MC, Kiss JZ. Pituitary binding of vasopressin is altered by experimental manipulations of the hypothalamo-pituitary-adrenocortical axis in normal as well as homozygous (di/di) Brattleboro rats. Endocrinology.1985;117(4):1293-1299.
  90. Winter J, Jurek B. The interplay between oxytocin and the CRF system: regulation of the stress response. Cell Tissue Res. 2019;375(1):85-91.
  91. Gibbs DM, Vale W, Rivier J, Yen SS. Oxytocin potentiates the ACTH-releasing activity of CRF(41) but not vasopressin. Life Sci. 1984;34(23):2245-2249.
  92. Alexander LD, Evans K, Sander LD. A possible involvement of VIP in feeding-induced secretion of ACTH and corticosterone in the rat. Physiol Behav. 1995;58(2):409-413.
  93. Alexander LD, Sander LD. Involvement of vasopressin and corticotropin-releasing hormone in VIP- and PHI-induced secretion of ACTH and corticosterone. Neuropeptides. 1995;28(3):167-173.
  94. Jirikowski GF, Back H, Forssmann WG, Stumpf WE. Coexistence of atrial natriuretic factor (ANF) and oxytocin in neurons of the rat hypothalamus. Neuropeptides. 1986;8(3):243-249.
  95. King MS, Baertschi AJ. Physiological concentrations of atrial natriuretic factors with intact N-terminal sequences inhibit corticotropin-releasing factor-stimulated adrenocorticotropin secretion from cultured anterior pituitary cells. Endocrinology. 1989;124(1):286-292.
  96. Kellner M, Wiedemann K, Holsboer F. Atrial natriuretic factor inhibits the CRH-stimulated secretion of ACTH and cortisol in man. Life Sci. 1992;50(24):1835-1842.
  97. Ur E, Faria M, Tsagarakis S, Anderson JV, Besser GM, Grossman A. Atrial natriuretic peptide in physiological doses does not inhibit the ACTH or cortisol response to corticotrophin-releasing hormone-41 in normal human subjects. J Endocrinol. 1991;131(1):163-167.
  98. Taylor T, Dluhy RG, Williams GH. beta-endorphin suppresses adrenocorticotropin and cortisol levels in normal human subjects. J Clin Endocrinol Metab. 1983;57(3):592-596.
  99. Tsagarakis S, Navarra P, Rees LH, Besser M, Grossman A, Navara P. Morphine directly modulates the release of stimulated corticotrophin-releasing factor-41 from rat hypothalamus in vitro [published erratum appears in Endocrinology 1989 Dec;125(6):3095]. Endocrinology. 1989;124(5):2330-2335.
  100. Jackson RV, Grice JE, Hockings GI, Torpy DJ. Naloxone-induced ACTH release: mechanism of action in humans. Clin Endocrinol (Oxf). 1995;43(4):423-424.
  101. Pagotto U, Marsicano G, Fezza F, Theodoropoulou M, Grubler Y, Stalla J, Arzberger T, Milone A, Losa M, Di Marzo V, Lutz B, Stalla GK. Normal human pituitary gland and pituitary adenomas express cannabinoid receptor type 1 and synthesize endogenous cannabinoids: first evidence for a direct role of cannabinoids on hormone modulation at the human pituitary level. J Clin Endocrinol Metab. 2001;86(6):2687-2696.
  102. Wade MR, Degroot A, Nomikos GG. Cannabinoid CB1 receptor antagonism modulates plasma corticosterone in rodents. Eur J Pharmacol. 2006;551(1-3):162-167.
  103. Cota D, Steiner MA, Marsicano G, Cervino C, Herman JP, Grubler Y, Stalla J, Pasquali R, Lutz B, Stalla GK, Pagotto U. Requirement of Cannabinoid Receptor Type 1 for the Basal Modulation of Hypothalamic-Pituitary-Adrenal Axis Function. Endocrinology. 2006.
  104. Benowitz NL, Jones RT, Lerner CB. Depression of growth hormone and cortisol response to insulin-induced hypoglycemia after prolonged oral delta-9-tetrahydrocannabinol administration in man. J Clin Endocrinol Metab.1976;42(5):938-941.
  105. al-Damluji S. Adrenergic control of the secretion of anterior pituitary hormones. Baillieres Clin Endocrinol Metab.1993;7(2):355-392.
  106. Kostoglou-Athanassiou I, Costa A, Navarra P, Nappi G, Forsling ML, Grossman AB. Endotoxin stimulates an endogenous pathway regulating corticotropin-releasing hormone and vasopressin release involving the generation of nitric oxide and carbon monoxide. J Neuroimmunol. 1998;86(1):104-109.
  107. Pozzoli G, Mancuso C, Mirtella A, Preziosi P, Grossman AB, Navarra P. Carbon monoxide as a novel neuroendocrine modulator: inhibition of stimulated corticotropin-releasing hormone release from acute rat hypothalamic explants. Endocrinology. 1994;135(6):2314-2317.
  108. Korbonits M, Kaltsas G, Perry LA, Grossman AB, Monson JP, Besser GM, Trainer PJ. Hexarelin as a test of pituitary reserve in patients with pituitary disease. Clin Endocrinol (Oxf). 1999;51(3):369-375.
  109. Korbonits M, Kaltsas G, Perry LA, Putignano P, Grossman AB, Besser GM, Trainer PJ. The growth hormone secretagogue hexarelin stimulates the hypothalamo-pituitary-adrenal axis via arginine vasopressin. J Clin Endocrinol Metab. 1999;84(7):2489-2495.
  110. Arvat E, Maccario M, Di Vito L, Broglio F, Benso A, Gottero C, Papotti M, Muccioli G, Dieguez C, Casanueva FF, Deghenghi R, Camanni F, Ghigo E. Endocrine activities of ghrelin, a natural growth hormone secretagogue (GHS), in humans: comparison and interactions with hexarelin, a nonnatural peptidyl GHS, and GH-releasing hormone. J Clin Endocrinol Metab. 2001;86(3):1169-1174.
  111. Mozid AM, Tringali G, Forsling ML, Hendricks MS, Ajodha S, Edwards R, Navarra P, Grossman AB, Korbonits M. Ghrelin is released from rat hypothalamic explants and stimulates corticotrophin-releasing hormone and arginine-vasopressin. Horm Metab Res. 2003;35(8):455-459.
  112. Arvat E, di Vito L, Maccagno B, Broglio F, Boghen MF, Deghenghi R, Camanni F, Ghigo E. Effects of GHRP-2 and hexarelin, two synthetic GH-releasing peptides, on GH, prolactin, ACTH and cortisol levels in man. Comparison with the effects of GHRH, TRH and hCRH. Peptides. 1997;18(6):885-891.
  113. Kimura T, Shimatsu A, Arimura H, Mori H, Tokitou A, Fukudome M, Nakazaki M, Tei C. Concordant and discordant adrenocorticotropin (ACTH) responses induced by growth hormone-releasing peptide-2 (GHRP-2), corticotropin-releasing hormone (CRH) and insulin-induced hypoglycemia in patients with hypothalamopituitary disorders: evidence for direct ACTH releasing activity of GHRP-2. Endocr J. 2010;57(7):639-644.
  114. Perras B, Schultes B, Schwaiger R, Metz C, Wesseler W, Born J, Fehm HL. Growth hormone-releasing hormone facilitates hypoglycemia-induced release of cortisol. Regul Pept. 2002;110(1):85-91.
  115. Zhang JV, Ren PG, Avsian-Kretchmer O, Luo CW, Rauch R, Klein C, Hsueh AJ. Obestatin, a peptide encoded by the ghrelin gene, opposes ghrelin's effects on food intake. Science. 2005;310(5750):996-999.
  116. Yamamoto D, Ikeshita N, Daito R, Herningtyas EH, Toda K, Takahashi K, Iida K, Takahashi Y, Kaji H, Chihara K, Okimura Y. Neither intravenous nor intracerebroventricular administration of obestatin affects the secretion of GH, PRL, TSH and ACTH in rats. Regul Pept. 2007;138(2-3):141-144.
  117. McKee KK, Tan CP, Palyha OC, Liu J, Feighner SD, Hreniuk DL, Smith RG, Howard AD, Van der Ploeg LH. Cloning and characterization of two human G protein-coupled receptor genes (GPR38 and GPR39) related to the growth hormone secretagogue and neurotensin receptors. Genomics. 1997;46(3):426-434.
  118. Holst B, Egerod KL, Schild E, Vickers SP, Cheetham S, Gerlach LO, Storjohann L, Stidsen CE, Jones R, Beck-Sickinger AG, Schwartz TW. GPR39 signaling is stimulated by zinc ions but not by obestatin. Endocrinology.2007;148(1):13-20.
  119. Luque RM, Cordoba-Chacon J, Ibanez-Costa A, Gesmundo I, Grande C, Gracia-Navarro F, Tena-Sempere M, Ghigo E, Gahete MD, Granata R, Kineman RD, Castano JP. Obestatin plays an opposite role in the regulation of pituitary somatotrope and corticotrope function in female primates and male/female mice. Endocrinology.2014:en20131728.
  120. Gaillard RC, Favrod-Coune CA, Capponi AM, Muller AF. Corticotropin-releasing activity of the renin-angiotensin system peptides in rat and in man. Neuroendocrinology. 1985;41(6):511-517.
  121. Rivier C, Vale W. Effect of angiotensin II on ACTH release in vivo: role of corticotropin-releasing factor. Regul Pept.1983;7(3):253-258.
  122. Murakami K, Ganong WF. Site at which angiotensin II acts to stimulate ACTH secretion in vivo. Neuroendocrinology. 1987;46(3):231-235.
  123. Sumitomo T, Suda T, Nakano Y, Tozawa F, Yamada M, Demura H. Angiotensin II increases the corticotropin-releasing factor messenger ribonucleic acid level in the rat hypothalamus. Endocrinology. 1991;128(5):2248-2252.
  124. Armando I, Volpi S, Aguilera G, Saavedra JM. Angiotensin II AT1 receptor blockade prevents the hypothalamic corticotropin-releasing factor response to isolation stress. Brain Res. 2007;1142:92-99.
  125. Armando I, Carranza A, Nishimura Y, Hoe KL, Barontini M, Terron JA, Falcon-Neri A, Ito T, Juorio AV, Saavedra JM. Peripheral administration of an angiotensin II AT(1) receptor antagonist decreases the hypothalamic-pituitary-adrenal response to isolation Stress. Endocrinology. 2001;142(9):3880-3889.
  126. Strowski MZ, Dashkevicz MP, Parmar RM, Wilkinson H, Kohler M, Schaeffer JM, Blake AD. Somatostatin receptor subtypes 2 and 5 inhibit corticotropin-releasing hormone-stimulated adrenocorticotropin secretion from AtT-20 cells. Neuroendocrinology. 2002;75(6):339-346.
  127. Lamberts SW, Zuyderwijk J, den Holder F, van Koetsveld P, Hofland L. Studies on the conditions determining the inhibitory effect of somatostatin on adrenocorticotropin, prolactin and thyrotropin release by cultured rat pituitary cells. Neuroendocrinology. 1989;50(1):44-50.
  128. van der Hoek J, Waaijers M, van Koetsveld PM, Sprij-Mooij D, Feelders RA, Schmid HA, Schoeffter P, Hoyer D, Cervia D, Taylor JE, Culler MD, Lamberts SW, Hofland LJ. Distinct functional properties of native somatostatin receptor subtype 5 compared with subtype 2 in the regulation of ACTH release by corticotroph tumor cells. Am J Physiol Endocrinol Metab. 2005;289(2):E278-287.
  129. Silva AP, Schoeffter P, Weckbecker G, Bruns C, Schmid HA. Regulation of CRH-induced secretion of ACTH and corticosterone by SOM230 in rats. Eur J Endocrinol. 2005;153(3):R7-R10.
  130. Stafford PJ, Kopelman PG, Davidson K, McLoughlin L, White A, Rees LH, Besser GM, Coy DH, Grossman A. The pituitary-adrenal response to CRF-41 is unaltered by intravenous somatostatin in normal subjects. Clin Endocrinol (Oxf). 1989;30(6):661-666.
  131. Fehm HL, Voigt KH, Lang R, Beinert KE, Raptis S, Pfeiffer EF. Somatostatin: a potent inhibitor of ACTH-hypersecretion in adrenal insufficiency. Klin Wochenschr. 1976;54(4):173-175.
  132. de Bruin C, Pereira AM, Feelders RA, Romijn JA, Roelfsema F, Sprij-Mooij DM, van Aken MO, van der Lelij AJ, de Herder WW, Lamberts SW, Hofland LJ. Coexpression of dopamine and somatostatin receptor subtypes in corticotroph adenomas. J Clin Endocrinol Metab. 2009;94(4):1118-1124.
  133. Hofland LJ, van der Hoek J, Feelders R, van Aken MO, van Koetsveld PM, Waaijers M, Sprij-Mooij D, Bruns C, Weckbecker G, de Herder WW, Beckers A, Lamberts SW. The multi-ligand somatostatin analogue SOM230 inhibits ACTH secretion by cultured human corticotroph adenomas via somatostatin receptor type 5. Eur J Endocrinol. 2005;152(4):645-654.
  134. Feelders RA, de Bruin C, Pereira AM, Romijn JA, Netea-Maier RT, Hermus AR, Zelissen PM, van Heerebeek R, de Jong FH, van der Lely AJ, de Herder WW, Hofland LJ, Lamberts SW. Pasireotide alone or with cabergoline and ketoconazole in Cushing's disease. N Engl J Med. 2010;362(19):1846-1848.
  135. de Herder WW, Lamberts SW. Is there a role for somatostatin and its analogs in Cushing's syndrome? Metabolism. 1996;45(8 Suppl 1):83-85.
  136. Redei E, Hilderbrand H, Aird F. Corticotropin release inhibiting factor is encoded within prepro-TRH. Endocrinology. 1995;136(4):1813-1816.
  137. Redei E, Hilderbrand H, Aird F. Corticotropin release-inhibiting factor is preprothyrotropin-releasing hormone-(178-199). Endocrinology. 1995;136(8):3557-3563.
  138. Nicholson WE, Orth DN. Preprothyrotropin-releasing hormone-(178-199) does not inhibit corticotropin release. Endocrinology. 1996;137(5):2171-2174.
  139. Gershengorn MC, Arevalo CO, Geras E, Rebecchi MJ. Thyrotropin-releasing hormone stimulation of adrenocorticotropin production by mouse pituitary tumor cells in culture: possible model for anomalous release of adrenocorticotropin by thyrotropin-releasing hormone in some patients with Cushing's disease and Nelson's syndrome. J Clin Invest. 1980;65(6):1294-1300.
  140. Bernardini R, Kamilaris TC, Calogero AE, Johnson EO, Gomez MT, Gold PW, Chrousos GP. Interactions between tumor necrosis factor-alpha, hypothalamic corticotropin-releasing hormone, and adrenocorticotropin secretion in the rat. Endocrinology. 1990;126(6):2876-2881.
  141. Perlstein RS, Mougey EH, Jackson WE, Neta R. Interleukin-1 and interleukin-6 act synergistically to stimulate the release of adrenocorticotropic hormone in vivo. Lymphokine Cytokine Res. 1991;10(1-2):141-146.
  142. Uehara A, Gottschall PE, Dahl RR, Arimura A. Stimulation of ACTH release by human interleukin-1 beta, but not by interleukin-1 alpha, in conscious, freely-moving rats. Biochem Biophys Res Commun. 1987;146(3):1286-1290.
  143. Uehara A, Gottschall PE, Dahl RR, Arimura A. Interleukin-1 stimulates ACTH release by an indirect action which requires endogenous corticotropin releasing factor. Endocrinology. 1987;121(4):1580-1582.
  144. Besedovsky HO, del Rey A. Immune-neuro-endocrine interactions: facts and hypotheses. Endocr Rev.1996;17(1):64-102.
  145. Murdoch GH, Potter E, Nicolaisen AK, Evans RM, Rosenfeld MG. Epidermal growth factor rapidly stimulates prolactin gene transcription. Nature. 1982;300(5888):192-194.
  146. Kontogeorgos G, Stefaneanu L, Kovacs K, Cheng Z. Localization of Epidermal Growth Factor (EGF) and Epidermal Growth Factor Receptor (EGFr) in Human Pituitary Adenomas and Nontumorous Pituitaries: An Immunocytochemical Study. Endocr Pathol. 1996;7(1):63-70.
  147. 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.
  148. Araki T, Liu X, Kameda H, Tone Y, Fukuoka H, Tone M, Melmed S. EGFR Induces E2F1-Mediated Corticotroph Tumorigenesis. J Endocr Soc. 2017;1(2):127-143.
  149. Fukuoka H, Cooper O, Ben-Shlomo A, Mamelak A, Ren SG, Bruyette D, Melmed S. EGFR as a therapeutic target for human, canine, and mouse ACTH-secreting pituitary adenomas. The Journal of clinical investigation.2011;121(12):4712-4721.
  150. Perez-Rivas LG, Theodoropoulou M, Ferrau F, Nusser C, Kawaguchi K, Stratakis CA, Faucz FR, Wildemberg LE, Assie G, Beschorner R, Dimopoulou C, Buchfelder M, Popovic V, Berr CM, Toth M, Ardisasmita AI, Honegger J, Bertherat J, Gadelha MR, Beuschlein F, Stalla G, Komada M, Korbonits M, Reincke M. The Gene of the Ubiquitin-Specific Protease 8 Is Frequently Mutated in Adenomas Causing Cushing's Disease. J Clin Endocrinol Metab.2015;100(7):E997-1004.
  151. Perez-Rivas LG, Osswald A, Knosel T, Lucia K, Schaaf C, Hristov M, Fazel J, Kirchner T, Beuschlein F, Reincke M, Theodoropoulou M. Expression and mutational status of USP8 in tumors causing ectopic ACTH secretion syndrome. Endocr Relat Cancer. 2017;24(9):L73-L77.
  152. Veldhuis JD, Iranmanesh A, Johnson ML, Lizarralde G. Amplitude, but not frequency, modulation of adrenocorticotropin secretory bursts gives rise to the nyctohemeral rhythm of the corticotropic axis in man. J Clin Endocrinol Metab. 1990;71(2):452-463.
  153. Krishnan KR, Ritchie JC, Saunders W, Wilson W, Nemeroff CB, Carroll BJ. Nocturnal and early morning secretion of ACTH and cortisol in humans. Biol Psychiatry. 1990;28(1):47-57.
  154. Desir D, Van Cauter E, Beyloos M, Bosson D, Golstein J, Copinschi G. Prolonged pulsatile administration of ovine corticotropin-releasing hormone in normal man. J Clin Endocrinol Metab. 1986;63(6):1292-1299.
  155. Gambacciani M, Liu JH, Swartz WH, Tueros VS, Rasmussen DD, Yen SS. Intrinsic pulsatility of ACTH release from the human pituitary in vitro. Clin Endocrinol (Oxf). 1987;26(5):557-563.
  156. Walker JJ, Spiga F, Waite E, Zhao Z, Kershaw Y, Terry JR, Lightman SL. The origin of glucocorticoid hormone oscillations. PLoS Biol. 2012;10(6):e1001341.
  157. Spiga F, Waite EJ, Liu Y, Kershaw YM, Aguilera G, Lightman SL. ACTH-dependent ultradian rhythm of corticosterone secretion. Endocrinology. 2011;152(4):1448-1457.
  158. Hazell G, Horn G, Lightman SL, Spiga F. Dynamics of ACTH-Mediated Regulation of Gene Transcription in ATC1 and ATC7 Adrenal Zona Fasciculata Cell Lines. Endocrinology. 2019;160(3):587-604.
  159. Henley DE, Leendertz JA, Russell GM, Wood SA, Taheri S, Woltersdorf WW, Lightman SL. Development of an automated blood sampling system for use in humans. J Med Eng Technol. 2009;33(3):199-208.
  160. Upton TJ, Zavala E, Methlie P, Kampe O, Tsagarakis S, Oksnes M, Bensing S, Vassiliadi DA, Grytaas MA, Botusan IR, Ueland G, Berinder K, Simunkova K, Balomenaki M, Margaritopoulos D, Henne N, Crossley R, Russell G, Husebye ES, Lightman SL. High-resolution daily profiles of tissue adrenal steroids by portable automated collection. Sci Transl Med. 2023;15(701):eadg8464.
  161. Kiessling S, Eichele G, Oster H. Adrenal glucocorticoids have a key role in circadian resynchronization in a mouse model of jet lag. J Clin Invest. 2010;120(7):2600-2609.
  162. Moore RY, Eichler VB. Loss of a circadian adrenal corticosterone rhythm following suprachiasmatic lesions in the rat. Brain Res. 1972;42(1):201-206.
  163. Dunlap JC. Molecular bases for circadian clocks. Cell. 1999;96(2):271-290.
  164. Koch CE, Leinweber B, Drengberg BC, Blaum C, Oster H. Interaction between circadian rhythms and stress. Neurobiol Stress. 2017;6:57-67.
  165. Kornhauser JM, Nelson DE, Mayo KE, Takahashi JS. Photic and circadian regulation of c-fos gene expression in the hamster suprachiasmatic nucleus. Neuron. 1990;5(2):127-134.
  166. Kornhauser JM, Nelson DE, Mayo KE, Takahashi JS. Regulation of jun-B messenger RNA and AP-1 activity by light and a circadian clock. Science. 1992;255(5051):1581-1584.
  167. Crosio C, Cermakian N, Allis CD, Sassone-Corsi P. Light induces chromatin modification in cells of the mammalian circadian clock. Nat Neurosci. 2000;3(12):1241-1247.
  168. Leliavski A, Shostak A, Husse J, Oster H. Impaired glucocorticoid production and response to stress in Arntl-deficient male mice. Endocrinology. 2014;155(1):133-142.
  169. Turek FW, Joshu C, Kohsaka A, Lin E, Ivanova G, McDearmon E, Laposky A, Losee-Olson S, Easton A, Jensen DR, Eckel RH, Takahashi JS, Bass J. Obesity and metabolic syndrome in circadian Clock mutant mice. Science.2005;308(5724):1043-1045.
  170. Yang S, Liu A, Weidenhammer A, Cooksey RC, McClain D, Kim MK, Aguilera G, Abel ED, Chung JH. The role of mPer2 clock gene in glucocorticoid and feeding rhythms. Endocrinology. 2009;150(5):2153-2160.
  171. Barclay JL, Shostak A, Leliavski A, Tsang AH, Johren O, Muller-Fielitz H, Landgraf D, Naujokat N, van der Horst GT, Oster H. High-fat diet-induced hyperinsulinemia and tissue-specific insulin resistance in Cry-deficient mice. Am J Physiol Endocrinol Metab. 2013;304(10):E1053-1063.
  172. Lamia KA, Papp SJ, Yu RT, Barish GD, Uhlenhaut NH, Jonker JW, Downes M, Evans RM. Cryptochromes mediate rhythmic repression of the glucocorticoid receptor. Nature. 2011;480(7378):552-556.
  173. Watabe T, Tanaka K, Kumagae M, Itoh S, Hasegawa M, Horiuchi T, Miyabe S, Ohno H, Shimizu N. Diurnal rhythm of plasma immunoreactive corticotropin-releasing factor in normal subjects. Life Sci. 1987;40(17):1651-1655.
  174. Cai A, Wise PM. Age-related changes in the diurnal rhythm of CRH gene expression in the paraventricular nuclei. Am J Physiol. 1996;270(2 Pt 1):E238-243.
  175. Cunnah D, Jessop DS, Besser GM, Rees LH. Measurement of circulating corticotrophin-releasing factor in man. J Endocrinol. 1987;113(1):123-131.
  176. Ur E, Capstick C, McLoughlin L, Checkley S, Besser GM, Grossman A. Continuous administration of human corticotropin-releasing hormone in the absence of glucocorticoid feedback in man. Neuroendocrinology.1995;61(2):191-197.
  177. Yamase K, Takahashi S, Nomura K, Haruta K, Kawashima S. Circadian changes in arginine vasopressin level in the suprachiasmatic nuclei in the rat. Neurosci Lett. 1991;130(2):255-258.
  178. Jin X, Shearman LP, Weaver DR, Zylka MJ, de Vries GJ, Reppert SM. A molecular mechanism regulating rhythmic output from the suprachiasmatic circadian clock. Cell. 1999;96(1):57-68.
  179. Fahrenkrug J, Hannibal J, Georg B. Diurnal rhythmicity of the canonical clock genes Per1, Per2 and Bmal1 in the rat adrenal gland is unaltered after hypophysectomy. J Neuroendocrinol. 2008;20(3):323-329.
  180. Ishida A, Mutoh T, Ueyama T, Bando H, Masubuchi S, Nakahara D, Tsujimoto G, Okamura H. Light activates the adrenal gland: timing of gene expression and glucocorticoid release. Cell Metab. 2005;2(5):297-307.
  181. Oster H, Damerow S, Hut RA, Eichele G. Transcriptional profiling in the adrenal gland reveals circadian regulation of hormone biosynthesis genes and nucleosome assembly genes. J Biol Rhythms. 2006;21(5):350-361.
  182. Yoder JM, Brandeland M, Engeland WC. Phase-dependent resetting of the adrenal clock by ACTH in vitro. Am J Physiol Regul Integr Comp Physiol. 2014;306(6):R387-393.
  183. Plotsky PM, Bruhn TO, Vale W. Hypophysiotropic regulation of adrenocorticotropin secretion in response to insulin-induced hypoglycemia. Endocrinology. 1985;117(1):323-329.
  184. Plotsky PM, Bruhn TO, Vale W. Evidence for multifactor regulation of the adrenocorticotropin secretory response to hemodynamic stimuli. Endocrinology. 1985;116(2):633-639.
  185. Berkenbosch F, De Goeij DC, Tilders FJ. Hypoglycemia enhances turnover of corticotropin-releasing factor and of vasopressin in the zona externa of the rat median eminence. Endocrinology. 1989;125(1):28-34.
  186. Jones BJ, Tan T, Bloom SR. Minireview: Glucagon in stress and energy homeostasis. Endocrinology.2012;153(3):1049-1054.
  187. Meeran K, Hattersley A, Mould G, Bloom SR. Venepuncture causes rapid rise in plasma ACTH. Br J Clin Pract.1993;47(5):246-247.
  188. Plumpton FS, Besser GM. The adrenocortical response to surgery and insulin-induced hypoglycaemia in corticosteroid-treated and normal subjects. Br J Surg. 1969;56(3):216-219.
  189. Plumpton FS, Besser GM, Cole PV. Corticosteroid treatment and surgery. 1. An investigation of the indications for steroid cover. Anaesthesia. 1969;24(1):3-11.
  190. Plumpton FS, Besser GM, Cole PV. Corticosteroid treatment and surgery. 2. The management of steroid cover. Anaesthesia. 1969;24(1):12-18.
  191. Khoo B, Boshier PR, Freethy A, Tharakan G, Saeed S, Hill N, Williams EL, Moorthy K, Tolley N, Jiao LR, Spalding D, Palazzo F, Meeran K, Tan T. Redefining the stress cortisol response to surgery. Clin Endocrinol (Oxf). 2017.
  192. Ma XM, Levy A, Lightman SL. Rapid changes in heteronuclear RNA for corticotrophin-releasing hormone and arginine vasopressin in response to acute stress. J Endocrinol. 1997;152(1):81-89.
  193. Ma XM, Aguilera G. Transcriptional responses of the vasopressin and corticotropin-releasing hormone genes to acute and repeated intraperitoneal hypertonic saline injection in rats. Brain Res Mol Brain Res. 1999;68(1-2):129-140.
  194. Kim CK, Rivier CL. Nitric oxide and carbon monoxide have a stimulatory role in the hypothalamic-pituitary-adrenal response to physico-emotional stressors in rats. Endocrinology. 2000;141(6):2244-2253.
  195. Bernstein HG, Keilhoff G, Seidel B, Stanarius A, Huang PL, Fishman MC, Reiser M, Bogerts B, Wolf G. Expression of hypothalamic peptides in mice lacking neuronal nitric oxide synthase: reduced beta-END immunoreactivity in the arcuate nucleus. Neuroendocrinology. 1998;68(6):403-411.
  196. Yamada K, Emson P, Hokfelt T. Immunohistochemical mapping of nitric oxide synthase in the rat hypothalamus and colocalization with neuropeptides. J Chem Neuroanat. 1996;10(3-4):295-316.
  197. Keilhoff G, Seidel B, Reiser M, Stanarius A, Huang PL, Bogerts B, Wolf G, Bernstein HG. Lack of neuronal NOS has consequences for the expression of POMC and POMC-derived peptides in the mouse pituitary. Acta Histochem. 2001;103(4):397-412.
  198. Bale TL, Contarino A, Smith GW, Chan R, Gold LH, Sawchenko PE, Koob GF, Vale WW, Lee KF. Mice deficient for corticotropin-releasing hormone receptor-2 display anxiety-like behaviour and are hypersensitive to stress. Nat Genet. 2000;24(4):410-414.
  199. Coste SC, Kesterson RA, Heldwein KA, Stevens SL, Heard AD, Hollis JH, Murray SE, Hill JK, Pantely GA, Hohimer AR, Hatton DC, Phillips TJ, Finn DA, Low MJ, Rittenberg MB, Stenzel P, Stenzel-Poore MP. Abnormal adaptations to stress and impaired cardiovascular function in mice lacking corticotropin-releasing hormone receptor-2. Nat Genet. 2000;24(4):403-409.
  200. Aguilera G, Rabadan-Diehl C. Vasopressinergic regulation of the hypothalamic-pituitary-adrenal axis: implications for stress adaptation. Regul Pept. 2000;96(1-2):23-29.
  201. Michalaki M, Margeli T, Tsekouras A, Gogos CH, Vagenakis AG, Kyriazopoulou V. Hypothalamic-pituitary-adrenal axis response to the severity of illness in non-critically ill patients: does relative corticosteroid insufficiency exist? Eur J Endocrinol. 2010;162(2):341-347.
  202. Tan T, Khoo B, Mills EG, Phylactou M, Patel B, Eng PC, Thurston L, Muzi B, Meeran K, Prevost AT, Comninos AN, Abbara A, Dhillo WS. Association between high serum total cortisol concentrations and mortality from COVID-19. Lancet Diabetes Endocrinol. 2020.
  203. Dumbell R, Matveeva O, Oster H. Circadian Clocks, Stress, and Immunity. Front Endocrinol (Lausanne).2016;7:37.
  204. Itoi K, Mouri T, Takahashi K, Murakami O, Imai Y, Sasaki S, Yoshinaga K, Sasano N. Suppression by glucocorticoid of the immunoreactivity of corticotropin-releasing factor and vasopressin in the paraventricular nucleus of rat hypothalamus. Neurosci Lett. 1987;73(3):231-236.
  205. Davis LG, Arentzen R, Reid JM, Manning RW, Wolfson B, Lawrence KL, Baldino F, Jr. Glucocorticoid sensitivity of vasopressin mRNA levels in the paraventricular nucleus of the rat. Proc Natl Acad Sci U S A. 1986;83(4):1145-1149.
  206. Abou-Samra AB, Catt KJ, Aguilera G. Biphasic inhibition of adrenocorticotropin release by corticosterone in cultured anterior pituitary cells. Endocrinology. 1986;119(3):972-977.
  207. Russell GM, Henley DE, Leendertz J, Douthwaite JA, Wood SA, Stevens A, Woltersdorf WW, Peeters BW, Ruigt GS, White A, Veldhuis JD, Lightman SL. Rapid glucocorticoid receptor-mediated inhibition of hypothalamic-pituitary-adrenal ultradian activity in healthy males. J Neurosci. 2010;30(17):6106-6115.
  208. Dallman MF, Akana SF, Cascio CS, Darlington DN, Jacobson L, Levin N. Regulation of ACTH secretion: variations on a theme of B. Recent Prog Horm Res. 1987;43:113-173.
  209. Keller-Wood ME, Dallman MF. Corticosteroid inhibition of ACTH secretion. Endocr Rev. 1984;5(1):1-24.
  210. Deng Q, Riquelme D, Trinh L, Low MJ, Tomic M, Stojilkovic S, Aguilera G. Rapid Glucocorticoid Feedback Inhibition of ACTH Secretion Involves Ligand-Dependent Membrane Association of Glucocorticoid Receptors. Endocrinology. 2015;156(9):3215-3227.
  211. Taylor AD, Cowell AM, Flower J, Buckingham JC. Lipocortin 1 mediates an early inhibitory action of glucocorticoids on the secretion of ACTH by the rat anterior pituitary gland in vitro. Neuroendocrinology. 1993;58(4):430-439.
  212. Morris DG, Kola B, Borboli N, Kaltsas GA, Gueorguiev M, McNicol AM, Ferrier R, Jones TH, Baldeweg S, Powell M, Czirjak S, Hanzely Z, Johansson JO, Korbonits M, Grossman AB. Identification of adrenocorticotropin receptor messenger ribonucleic acid in the human pituitary and its loss of expression in pituitary adenomas. J Clin Endocrinol Metab. 2003;88(12):6080-6087.
  213. Drouin J, Bilodeau S, Vallette S. Of old and new diseases: genetics of pituitary ACTH excess (Cushing) and deficiency. Clin Genet. 2007;72(3):175-182.
  214. Bilodeau S, Vallette-Kasic S, Gauthier Y, Figarella-Branger D, Brue T, Berthelet F, Lacroix A, Batista D, Stratakis C, Hanson J, Meij B, Drouin J. Role of Brg1 and HDAC2 in GR trans-repression of the pituitary POMC gene and misexpression in Cushing disease. Genes Dev. 2006;20(20):2871-2886.
  215. Suda T, Tomori N, Yajima F, Ushiyama T, Sumitomo T, Nakagami Y, Demura H, Shizume K. A short negative feedback mechanism regulating corticotropin-releasing hormone release. J Clin Endocrinol Metab. 1987;64(5):909-913.
  216. Sawchenko PE, Arias C. Evidence for short-loop feedback effects of ACTH on CRF and vasopressin expression in parvocellular neurosecretory neurons. J Neuroendocrinol. 1995;7(9):721-731.
  217. Roussel-Gervais A, Couture C, Langlais D, Takayasu S, Balsalobre A, Rueda BR, Zukerberg LR, Figarella-Branger D, Brue T, Drouin J. The Cables1 Gene in Glucocorticoid Regulation of Pituitary Corticotrope Growth and Cushing Disease. J Clin Endocrinol Metab. 2016;101(2):513-522.
  218. Quigley ME, Yen SS. A mid-day surge in cortisol levels. J Clin Endocrinol Metab. 1979;49(6):945-947.
  219. Follenius M, Brandenberger G, Hietter B. Diurnal cortisol peaks and their relationships to meals. J Clin Endocrinol Metab. 1982;55(4):757-761.
  220. Stimson RH, Mohd-Shukri NA, Bolton JL, Andrew R, Reynolds RM, Walker BR. The postprandial rise in plasma cortisol in men is mediated by macronutrient-specific stimulation of adrenal and extra-adrenal cortisol production. J Clin Endocrinol Metab. 2014;99(1):160-168.
  221. Al-Damluji S, Iveson T, Thomas JM, Pendlebury DJ, Rees LH, Besser GM. Food-induced cortisol secretion is mediated by central alpha-1 adrenoceptor modulation of pituitary ACTH secretion. Clin Endocrinol (Oxf).1987;26(5):629-636.
  222. Korbonits M, Trainer PJ, Nelson ML, Howse I, Kopelman PG, Besser GM, Grossman AB, Svec F. Differential stimulation of cortisol and dehydroepiandrosterone levels by food in obese and normal subjects: relation to body fat distribution. Clin Endocrinol (Oxf). 1996;45(6):699-706.
  223. Wake DJ, Homer NZ, Andrew R, Walker BR. Acute in vivo regulation of 11beta-hydroxysteroid dehydrogenase type 1 activity by insulin and intralipid infusions in humans. J Clin Endocrinol Metab. 2006;91(11):4682-4688.
  224. Benedict C, Hallschmid M, Scheibner J, Niemeyer D, Schultes B, Merl V, Fehm HL, Born J, Kern W. Gut protein uptake and mechanisms of meal-induced cortisol release. J Clin Endocrinol Metab. 2005;90(3):1692-1696.
  225. Larsen PJ, Tang-Christensen M, Jessop DS. Central administration of glucagon-like peptide-1 activates hypothalamic neuroendocrine neurons in the rat. Endocrinology. 1997;138(10):4445-4455.
  226. Ryan AS, Egan JM, Habener JF, Elahi D. Insulinotropic hormone glucagon-like peptide-1-(7-37) appears not to augment insulin-mediated glucose uptake in young men during euglycemia. J Clin Endocrinol Metab.1998;83(7):2399-2404.
  227. Gil-Lozano M, Perez-Tilve D, Alvarez-Crespo M, Martis A, Fernandez AM, Catalina PA, Gonzalez-Matias LC, Mallo F. GLP-1(7-36)-amide and Exendin-4 stimulate the HPA axis in rodents and humans. Endocrinology.2010;151(6):2629-2640.
  228. Lacroix A, Bolte E, Tremblay J, Dupre J, Poitras P, Fournier H, Garon J, Garrel D, Bayard F, Taillefer R, et al. Gastric inhibitory polypeptide-dependent cortisol hypersecretion--a new cause of Cushing's syndrome. N Engl J Med. 1992;327(14):974-980.
  229. Gogebakan O, Andres J, Biedasek K, Mai K, Kuhnen P, Krude H, Isken F, Rudovich N, Osterhoff MA, Kintscher U, Nauck M, Pfeiffer AF, Spranger J. Glucose-dependent insulinotropic polypeptide reduces fat-specific expression and activity of 11beta-hydroxysteroid dehydrogenase type 1 and inhibits release of free fatty acids. Diabetes.2012;61(2):292-300.
  230. Swaab DF, Bao AM, Lucassen PJ. The stress system in the human brain in depression and neurodegeneration. Ageing Res Rev. 2005;4(2):141-194.
  231. Ferrari E, Magri F. Role of neuroendocrine pathways in cognitive decline during aging. Ageing Res Rev.2008;7(3):225-233.
  232. Aguilera G. HPA axis responsiveness to stress: implications for healthy aging. Exp Gerontol. 2011;46(2-3):90-95.
  233. Kasckow JW, Lupien SJ, Behan DP, Welge J, Hauger RJ. Circulating human corticotropin-releasing factor-binding protein levels following cortisol infusions. Life Sci. 2001;69(2):133-142.
  234. Tizabi Y, Aguilera G, Gilad GM. Age-related reduction in pituitary corticotropin-releasing hormone receptors in two rat strains. Neurobiol Aging. 1992;13(2):227-230.
  235. Lupien S, Lecours AR, Schwartz G, Sharma S, Hauger RL, Meaney MJ, Nair NP. Longitudinal study of basal cortisol levels in healthy elderly subjects: evidence for subgroups. Neurobiol Aging. 1996;17(1):95-105.
  236. Linkowski P, Van Onderbergen A, Kerkhofs M, Bosson D, Mendlewicz J, Van Cauter E. Twin study of the 24-h cortisol profile: evidence for genetic control of the human circadian clock. Am J Physiol. 1993;264(2 Pt 1):E173-181.
  237. Franz CE, York TP, Eaves LJ, Mendoza SP, Hauger RL, Hellhammer DH, Jacobson KC, Levine S, Lupien SJ, Lyons MJ, Prom-Wormley E, Xian H, Kremen WS. Genetic and environmental influences on cortisol regulation across days and contexts in middle-aged men. Behav Genet. 2010;40(4):467-479.
  238. Cai A, Scarbrough K, Hinkle DA, Wise PM. Fetal grafts containing suprachiasmatic nuclei restore the diurnal rhythm of CRH and POMC mRNA in aging rats. Am J Physiol. 1997;273(5 Pt 2):R1764-1770.
  239. Cooper MS. 11beta-Hydroxysteroid dehydrogenase: a regulator of glucocorticoid response in osteoporosis. J Endocrinol Invest. 2008;31(7 Suppl):16-21.
  240. Holmes MC, Carter RN, Noble J, Chitnis S, Dutia A, Paterson JM, Mullins JJ, Seckl JR, Yau JL. 11beta-hydroxysteroid dehydrogenase type 1 expression is increased in the aged mouse hippocampus and parietal cortex and causes memory impairments. J Neurosci. 2010;30(20):6916-6920.
  241. Lesniewska B, Miskowiak B, Nowak M, Malendowicz LK. Sex differences in adrenocortical structure and function. XXVII. The effect of ether stress on ACTH and corticosterone in intact, gonadectomized, and testosterone- or estradiol-replaced rats. Res Exp Med (Berl). 1990;190(2):95-103.
  242. Lesniewska B, Nowak M, Malendowicz LK. Sex differences in adrenocortical structure and function. XXVIII. ACTH and corticosterone in intact, gonadectomised and gonadal hormone replaced rats. Horm Metab Res.1990;22(7):378-381.
  243. Jezova D, Kvetnansky R, Vigas M. Sex differences in endocrine response to hyperthermia in sauna. Acta Physiol Scand. 1994;150(3):293-298.
  244. Jezova D, Jurankova E, Mosnarova A, Kriska M, Skultetyova I. Neuroendocrine response during stress with relation to gender differences. Acta Neurobiol Exp (Wars). 1996;56(3):779-785.
  245. Vamvakopoulos NC, Chrousos GP. Evidence of direct estrogenic regulation of human corticotropin-releasing hormone gene expression. Potential implications for the sexual dimophism of the stress response and immune/inflammatory reaction. J Clin Invest. 1993;92(4):1896-1902.
  246. Kirschbaum C, Wust S, Faig HG, Hellhammer DH. Heritability of cortisol responses to human corticotropin-releasing hormone, ergometry, and psychological stress in humans. J Clin Endocrinol Metab. 1992;75(6):1526-1530.
  247. Matthews KA, Gump BB, Owens JF. Chronic stress influences cardiovascular and neuroendocrine responses during acute stress and recovery, especially in men. Health Psychol. 2001;20(6):403-410.
  248. Holsboer F. The corticosteroid receptor hypothesis of depression. Neuropsychopharmacology. 2000;23(5):477-501.
  249. Pariante CM. Why are depressed patients inflamed? A reflection on 20 years of research on depression, glucocorticoid resistance and inflammation. Eur Neuropsychopharmacol. 2017;27(6):554-559.
  250. Beck-Friis J, Ljunggren JG, Thoren M, von Rosen D, Kjellman BF, Wetterberg L. Melatonin, cortisol and ACTH in patients with major depressive disorder and healthy humans with special reference to the outcome of the dexamethasone suppression test. Psychoneuroendocrinology. 1985;10(2):173-186.
  251. Reus VI, Joseph M, Dallman M. Regulation of ACTH and cortisol in depression. Peptides. 1983;4(5):785-788.
  252. Dziurkowska E, Wesolowski M. Cortisol as a Biomarker of Mental Disorder Severity. J Clin Med. 2021;10(21).
  253. Nemeroff CB, Krishnan KR, Reed D, Leder R, Beam C, Dunnick NR. Adrenal gland enlargement in major depression. A computed tomographic study. Arch Gen Psychiatry. 1992;49(5):384-387.
  254. Rubin RT, Phillips JJ, Sadow TF, McCracken JT. Adrenal gland volume in major depression. Increase during the depressive episode and decrease with successful treatment. Arch Gen Psychiatry. 1995;52(3):213-218.
  255. Holsboer F, von Bardeleben U, Wiedemann K, Muller OA, Stalla GK. Serial assessment of corticotropin-releasing hormone response after dexamethasone in depression. Implications for pathophysiology of DST nonsuppression. Biol Psychiatry. 1987;22(2):228-234.
  256. Young EA, Haskett RF, Murphy-Weinberg V, Watson SJ, Akil H. Loss of glucocorticoid fast feedback in depression. Arch Gen Psychiatry. 1991;48(8):693-699.
  257. Young EA, Carlson NE, Brown MB. Twenty-four-hour ACTH and cortisol pulsatility in depressed women. Neuropsychopharmacology. 2001;25(2):267-276.
  258. Amasi-Hartoonian N, Sforzini L, Cattaneo A, Pariante CM. Cause or consequence? Understanding the role of cortisol in the increased inflammation observed in depression. Curr Opin Endocr Metab Res. 2022;24:100356.
  259. Misiak B, Loniewski I, Marlicz W, Frydecka D, Szulc A, Rudzki L, Samochowiec J. The HPA axis dysregulation in severe mental illness: Can we shift the blame to gut microbiota? Prog Neuropsychopharmacol Biol Psychiatry.2020;102:109951.
  260. Huang MC, Chuang SC, Tseng MM, Chien YL, Liao SC, Chen HC, Kuo PH. Cortisol awakening response in patients with bipolar disorder during acute episodes and partial remission: A pilot study. Psychiatry Res.2017;258:594-597.
  261. Walker EF, Brennan PA, Esterberg M, Brasfield J, Pearce B, Compton MT. Longitudinal changes in cortisol secretion and conversion to psychosis in at-risk youth. J Abnorm Psychol. 2010;119(2):401-408.
  262. Labad J, Stojanovic-Perez A, Montalvo I, Sole M, Cabezas A, Ortega L, Moreno I, Vilella E, Martorell L, Reynolds RM, Gutierrez-Zotes A. Stress biomarkers as predictors of transition to psychosis in at-risk mental states: roles for cortisol, prolactin and albumin. J Psychiatr Res. 2015;60:163-169.
  263. Shah JL, Malla AK. Much ado about much: stress, dynamic biomarkers and HPA axis dysregulation along the trajectory to psychosis. Schizophr Res. 2015;162(1-3):253-260.
  264. Chaumette B, Kebir O, Mam-Lam-Fook C, Morvan Y, Bourgin J, Godsil BP, Plaze M, Gaillard R, Jay TM, Krebs MO. Salivary cortisol in early psychosis: New findings and meta-analysis. Psychoneuroendocrinology.2016;63:262-270.
  265. Nordholm D, Rostrup E, Mondelli V, Randers L, Nielsen MO, Wulff S, Norbak-Emig H, Broberg BV, Krakauer K, Dazzan P, Zunszain PA, Nordentoft M, Glenthoj B. Multiple measures of HPA axis function in ultra high risk and first-episode schizophrenia patients. Psychoneuroendocrinology. 2018;92:72-80.
  266. Corcoran CM, Smith C, McLaughlin D, Auther A, Malaspina D, Cornblatt B. HPA axis function and symptoms in adolescents at clinical high risk for schizophrenia. Schizophr Res. 2012;135(1-3):170-174.
  267. Horvath E, Kovacs K. Fine structural cytology of the adenohypophysis in rat and man. J Electron Microsc Tech.1988;8(4):401-432.
  268. Cohen LE, Radovick S. Molecular basis of combined pituitary hormone deficiencies. Endocr Rev. 2002;23(4):431-442.
  269. Kapali J, Kabat BE, Schmidt KL, Stallings CE, Tippy M, Jung DO, Edwards BS, Nantie LB, Raeztman LT, Navratil AM, Ellsworth BS. Foxo1 Is Required for Normal Somatotrope Differentiation. Endocrinology. 2016;157(11):4351-4363.
  270. Zhu X, Zhang J, Tollkuhn J, Ohsawa R, Bresnick EH, Guillemot F, Kageyama R, Rosenfeld MG. Sustained Notch signaling in progenitors is required for sequential emergence of distinct cell lineages during organogenesis. Genes Dev. 2006;20(19):2739-2753.
  271. Li CH, Papkoff H. Preparation and properties of growth hormone from human and monkey pituitary glands. Science. 1956;124(3235):1293-1294.
  272. Li CH, Dixon JS. Human pituitary growth hormone. 32. The primary structure of the hormone: revision. Arch Biochem Biophys. 1971;146(1):233-236.
  273. Niall HD, Hogan ML, Sauer R, Rosenblum IY, Greenwood FC. Sequences of pituitary and placental lactogenic and growth hormones: evolution from a primordial peptide by gene reduplication. Proc Natl Acad Sci U S A.1971;68(4):866-870.
  274. Owerbach D, Rutter WJ, Martial JA, Baxter JD, Shows TB. Genes for growth hormone, chorionic somatommammotropin, and growth hormones-like gene on chromosome 17 in humans. Science.1980;209(4453):289-292.
  275. McKusick V, Phillips JI, Bottani A, Antonarakis S, O'Neill M, Kniffin C, Hartz P, Gross M. GROWTH HORMONE 1; GH1. In: McKusick V, ed. Online Mendelian Inheritance in Man. Baltimore, MD, USA: Johns Hopkins University; 2007: http://www.ncbi.nlm.nih.gov:80/entrez/dispomim.cgi?id=139250. Accessed 20 Jan 2007
  276. Frankenne F, Rentier-Delrue F, Scippo ML, Martial J, Hennen G. Expression of the growth hormone variant gene in human placenta. J Clin Endocrinol Metab. 1987;64(3):635-637.
  277. Liebhaber SA, Urbanek M, Ray J, Tuan RS, Cooke NE. Characterization and histologic localization of human growth hormone-variant gene expression in the placenta. J Clin Invest. 1989;83(6):1985-1991.
  278. McKusick V, Phillips JI. GROWTH HORMONE 2; GH2. In: McKusick V, ed. Online Mendelian Inheritance in Man. Baltimore, MD: Johns Hopkins University; 2007: http://www.ncbi.nlm.nih.gov:80/entrez/dispomim.cgi?id=139240. Accessed 20 Jan 2007
  279. McKusick V, Phillips JI, Rasooly R. CHORIONIC SOMATOMAMMOTROPIN HORMONE 1; CSH1. In: McKusick V, ed. Online Mendelian Inheritance in Man. Baltimore, MD: Johns Hopkins University; 2007: http://www.ncbi.nlm.nih.gov:80/entrez/dispomim.cgi?id=150200. Accessed 20 Jan 2007
  280. McKusick V, Rasooly R. CHORIONIC SOMATOMAMMOTROPIN HORMONE 2; CSH2. In: McKusick V, ed. Online Mendelian Inheritance in Man. Baltimore, MD: Johns Hopkins University; 2007: http://www.ncbi.nlm.nih.gov:80/entrez/dispomim.cgi?id=118820. Accessed 20 Jan 2007
  281. Rasooly R. CHORIONIC SOMATOMAMMOTROPIN HORMONE-LIKE 1; CSHL1. In: McKusick V, ed. Online Mendelian Inheritance in Man. Baltimore, MD: Johns Hopkins University; 2007: http://www.ncbi.nlm.nih.gov:80/entrez/dispomim.cgi?id=603515. Accessed 20 Jan 2007
  282. Chen EY, Liao YC, Smith DH, Barrera-Saldana HA, Gelinas RE, Seeburg PH. The human growth hormone locus: nucleotide sequence, biology, and evolution. Genomics. 1989;4(4):479-497.
  283. Bodner M, Castrillo JL, Theill LE, Deerinck T, Ellisman M, Karin M. The pituitary-specific transcription factor GHF-1 is a homeobox-containing protein. Cell. 1988;55(3):505-518.
  284. Lemaigre FP, Peers B, Lafontaine DA, Mathy-Hartert M, Rousseau GG, Belayew A, Martial JA. Pituitary-specific factor binding to the human prolactin, growth hormone, and placental lactogen genes. DNA. 1989;8(3):149-159.
  285. Lemaigre FP, Courtois SJ, Durviaux SM, Egan CJ, LaFontaine DA, Rousseau GG. Analysis of cis- and trans-acting elements in the hormone-sensitive human somatotropin gene promoter. J Steroid Biochem. 1989;34(1-6):79-83.
  286. Nachtigal MW, Nickel BE, Klassen ME, Zhang WG, Eberhardt NL, Cattini PA. Human chorionic somatomammotropin and growth hormone gene expression in rat pituitary tumour cells is dependent on proximal promoter sequences. Nucleic Acids Res. 1989;17(11):4327-4337.
  287. Li S, Crenshaw EB, 3rd, Rawson EJ, Simmons DM, Swanson LW, Rosenfeld MG. Dwarf locus mutants lacking three pituitary cell types result from mutations in the POU-domain gene pit-1. Nature. 1990;347(6293):528-533.
  288. Fox SR, Jong MT, Casanova J, Ye ZS, Stanley F, Samuels HH. The homeodomain protein, Pit-1/GHF-1, is capable of binding to and activating cell-specific elements of both the growth hormone and prolactin gene promoters. Mol Endocrinol. 1990;4(7):1069-1080.
  289. Tansey WP, Catanzaro DF. Sp1 and thyroid hormone receptor differentially activate expression of human growth hormone and chorionic somatomammotropin genes. J Biol Chem. 1991;266(15):9805-9813.
  290. Nickel BE, Nachtigal MW, Bock ME, Cattini PA. Differential binding of rat pituitary-specific nuclear factors to the 5'-flanking region of pituitary and placental members of the human growth hormone gene family. Mol Cell Biochem.1991;106(2):181-187.
  291. Walker WH, Fitzpatrick SL, Saunders GF. Human placental lactogen transcriptional enhancer. Tissue specificity and binding with specific proteins. J Biol Chem. 1990;265(22):12940-12948.
  292. Nachtigal MW, Nickel BE, Cattini PA. Pituitary-specific repression of placental members of the human growth hormone gene family. A possible mechanism for locus regulation. J Biol Chem. 1993;268(12):8473-8479.
  293. Jones BK, Monks BR, Liebhaber SA, Cooke NE. The human growth hormone gene is regulated by a multicomponent locus control region. Mol Cell Biol. 1995;15(12):7010-7021.
  294. Shewchuk BM, Liebhaber SA, Cooke NE. Specification of unique Pit-1 activity in the hGH locus control region. Proc Natl Acad Sci U S A. 2002;99(18):11784-11789.
  295. Elefant F, Cooke NE, Liebhaber SA. Targeted recruitment of histone acetyltransferase activity to a locus control region. J Biol Chem. 2000;275(18):13827-13834.
  296. Ho Y, Elefant F, Cooke N, Liebhaber S. A defined locus control region determinant links chromatin domain acetylation with long-range gene activation. Mol Cell. 2002;9(2):291-302.
  297. Ho Y, Tadevosyan A, Liebhaber SA, Cooke NE. The juxtaposition of a promoter with a locus control region transcriptional domain activates gene expression. EMBO Rep. 2008;9(9):891-898.
  298. Gil-Puig C, Seoane S, Blanco M, Macia M, Garcia-Caballero T, Segura C, Perez-Fernandez R. Pit-1 is expressed in normal and tumorous human breast and regulates GH secretion and cell proliferation. Eur J Endocrinol.2005;153(2):335-344.
  299. Frohman LA, Burek L, Stachura MA. Characterization of growth hormone of different molecular weights in rat, dog and human pituitaries. Endocrinology. 1972;91(1):262-269.
  300. Baumann G, Winter RJ, Shaw M. Circulating molecular variants of growth hormone in childhood. Pediatr Res.1987;22(1):21-22.
  301. Baumann G, Stolar MW, Amburn K. Molecular forms of circulating growth hormone during spontaneous secretory episodes and in the basal state. J Clin Endocrinol Metab. 1985;60(6):1216-1220.
  302. Herington AC, Ymer S, Stevenson J. Identification and characterization of specific binding proteins for growth hormone in normal human sera. J Clin Invest. 1986;77(6):1817-1823.
  303. Leung DW, Spencer SA, Cachianes G, Hammonds RG, Collins C, Henzel WJ, Barnard R, Waters MJ, Wood WI. Growth hormone receptor and serum binding protein: purification, cloning and expression. Nature.1987;330(6148):537-543.
  304. Zhang Y, Jiang J, Black RA, Baumann G, Frank SJ. Tumor necrosis factor-alpha converting enzyme (TACE) is a growth hormone binding protein (GHBP) sheddase: the metalloprotease TACE/ADAM-17 is critical for (PMA-induced) GH receptor proteolysis and GHBP generation. Endocrinology. 2000;141(12):4342-4348.
  305. Baumann G, Shaw MA. Plasma transport of the 20,000-dalton variant of human growth hormone (20K): evidence for a 20K-specific binding site. J Clin Endocrinol Metab. 1990;71(5):1339-1343.
  306. Ross RJ, Esposito N, Shen XY, Von Laue S, Chew SL, Dobson PR, Postel-Vinay MC, Finidori J. A short isoform of the human growth hormone receptor functions as a dominant negative inhibitor of the full-length receptor and generates large amounts of binding protein. Mol Endocrinol. 1997;11(3):265-273.
  307. Gossard F, Dihl F, Pelletier G, Dubois PM, Morel G. In situ hybridization to rat brain and pituitary gland of growth hormone cDNA. Neurosci Lett. 1987;79(3):251-256.
  308. Aberg ND, Brywe KG, Isgaard J. Aspects of growth hormone and insulin-like growth factor-I related to neuroprotection, regeneration, and functional plasticity in the adult brain. ScientificWorldJournal. 2006;6:53-80.
  309. Thorner MO, Perryman RL, Cronin MJ, Rogol AD, Draznin M, Johanson A, Vale W, Horvath E, Kovacs K. Somatotroph hyperplasia. Successful treatment of acromegaly by removal of a pancreatic islet tumor secreting a growth hormone-releasing factor. J Clin Invest. 1982;70(5):965-977.
  310. Mayo K, Vale W, Rivier J, Rosenfeld M, Evans R. Expression-cloning and sequence of a cDNA encoding human growth hormone-releasing factor. Nature. 1983;306(5938):86-88.
  311. Gubler U, Monahan J, Lomedico P, Bhatt R, Collier K, Hoffman B, Bohlen P, Esch F, Ling N, Zeytin F, Brazeau P, Poonian M, Gage L. Cloning and sequence analysis of cDNA for the precursor of human growth hormone-releasing factor, somatocrinin. Proc Natl Acad Sci U S A. 1983;80(14):4311-4314.
  312. Mayo K. Molecular cloning and expression of a pituitary-specific receptor for growth hormone-releasing hormone. Mol Endocrinol. 1992;6(10):1734-1744.
  313. Barinaga M, Yamonoto G, Rivier C, Vale W, Evans R, Rosenfeld M. Transcriptional regulation of growth hormone gene expression by growth hormone-releasing factor. Nature. 1983;306(5938):84-85.
  314. Fukata J, Diamond D, Martin J. Effects of rat growth hormone (rGH)-releasing factor and somatostatin on the release and synthesis of rGH in dispersed pituitary cells. Endocrinology. 1985;117(2):457-467.
  315. Campbell R, Scanes C. Evolution of the growth hormone-releasing factor (GRF) family of peptides. Growth Regul.1992;2(4):175-191.
  316. Shen L, Pictet R, Rutter W. Human somatostatin I: sequence of the cDNA. Proc Natl Acad Sci U S A.1982;79(15):4575-4579.
  317. Siler T, VandenBerg G, Yen S, Brazeau P, Vale W, Guillemin R. Inhibition of growth hormone release in humans by somatostatin. J Clin Endocrinol Metab. 1973;37(4):632-634.
  318. Brazeau P, Vale W, Burgus R, Ling N, Butcher M, Rivier J, Guillemin R. Hypothalamic polypeptide that inhibits the secretion of immunoreactive pituitary growth hormone. Science. 1973;179(68):77-79.
  319. Tannenbaum GS, Epelbaum J, Bowers CY. Interrelationship between the Novel Peptide Ghrelin and Somatostatin/Growth Hormone-Releasing Hormone in Regulation of Pulsatile Growth Hormone Secretion. Endocrinology. 2003;144(3):967-974.
  320. Broglio F, Koetsveld Pv P, Benso A, Gottero C, Prodam F, Papotti M, Muccioli G, Gauna C, Hofland L, Deghenghi R, Arvat E, Van Der Lely AJ, Ghigo E. Ghrelin secretion is inhibited by either somatostatin or cortistatin in humans. J Clin Endocrinol Metab. 2002;87(10):4829-4832.
  321. Norrelund H, Hansen TK, Orskov H, Hosoda H, Kojima M, Kangawa K, Weeke J, Moller N, Christiansen JS, Jorgensen JO. Ghrelin immunoreactivity in human plasma is suppressed by somatostatin. Clin Endocrinol (Oxf).2002;57(4):539-546.
  322. Shimada M, Date Y, Mondal MS, Toshinai K, Shimbara T, Fukunaga K, Murakami N, Miyazato M, Kangawa K, Yoshimatsu H, Matsuo H, Nakazato M. Somatostatin suppresses ghrelin secretion from the rat stomach. Biochem Biophys Res Commun. 2003;302(3):520-525.
  323. Vale W, Rivier C, Brazeau P, Guillemin R. Effects of somatostatin on the secretion of thyrotropin and prolactin. Endocrinology. 1974;95(4):968-977.
  324. Siler TM, Yen SC, Vale W, Guillemin R. Inhibition by somatostatin on the release of TSH induced in man by thyrotropin-releasing factor. J Clin Endocrinol Metab. 1974;38(5):742-745.
  325. Liddle R. Physiology of somatostatin and its analogues. UpToDate version 14.3. Wellesley, MA, United States of America: UpToDate, Inc.; 2006.
  326. Patel Y, Greenwood M, Panetta R, Hukovic N, Grigorakis S, Robertson L, Srikant C. Molecular biology of somatostatin receptor subtypes. Metabolism. 1996;45(8 Suppl 1):31-38.
  327. Peineau S, Guimiot F, Csaba Z, Jacquier S, Fafouri A, Schwendimann L, de Roux N, Schulz S, Gressens P, Auvin S, Dournaud P. Somatostatin receptors type 2 and 5 expression and localization during human pituitary development. Endocrinology. 2014;155(1):33-39.
  328. Reisine T, Bell GI. Molecular biology of somatostatin receptors. Endocr Rev. 1995;16(4):427-442.
  329. Kojima M, Hosoda H, Date Y, Nakazato M, Matsuo H, Kangawa K. Ghrelin is a growth-hormone-releasing acylated peptide from stomach. Nature. 1999;402(6762):656-660.
  330. Howard AD, Feighner SD, Cully DF, Arena JP, Liberator PA, Rosenblum CI, Hamelin M, Hreniuk DL, Palyha OC, Anderson J, Paress PS, Diaz C, Chou M, Liu KK, McKee KK, Pong SS, Chaung LY, Elbrecht A, Dashkevicz M, Heavens R, Rigby M, Sirinathsinghji DJ, Dean DC, Melillo DG, Van der Ploeg LH, et al. A receptor in pituitary and hypothalamus that functions in growth hormone release. Science. 1996;273(5277):974-977.
  331. Gnanapavan S, Kola B, Bustin SA, Morris DG, McGee P, Fairclough P, Bhattacharya S, Carpenter R, Grossman AB, Korbonits M. The tissue distribution of the mRNA of ghrelin and subtypes of its receptor, GHS-R, in humans. J Clin Endocrinol Metab. 2002;87(6):2988.
  332. Chan CB, Cheng CH. Identification and functional characterization of two alternatively spliced growth hormone secretagogue receptor transcripts from the pituitary of black seabream Acanthopagrus schlegeli. Mol Cell Endocrinol. 2004;214(1-2):81-95.
  333. Hosoda H, Kojima M, Matsuo H, Kangawa K. Ghrelin and des-acyl ghrelin: two major forms of rat ghrelin peptide in gastrointestinal tissue. Biochem Biophys Res Commun. 2000;279(3):909-913.
  334. Yang J, Brown MS, Liang G, Grishin NV, Goldstein JL. Identification of the acyltransferase that octanoylates ghrelin, an appetite-stimulating peptide hormone. Cell. 2008;132(3):387-396.
  335. Lim CT, Kola B, Grossman A, Korbonits M. The expression of ghrelin O-acyltransferase (GOAT) in human tissues. Endocr J. 2011;58(8):707-710.
  336. Momany FA, Bowers CY, Reynolds GA, Chang D, Hong A, Newlander K. Design, synthesis, and biological activity of peptides which release growth hormone in vitro. Endocrinology. 1981;108(1):31-39.
  337. Beaumont NJ, Skinner VO, Tan TM, Ramesh BS, Byrne DJ, MacColl GS, Keen JN, Bouloux PM, Mikhailidis DP, Bruckdorfer KR, Vanderpump MP, Srai KS. Ghrelin Can Bind to a Species of High Density Lipoprotein Associated with Paraoxonase. J Biol Chem. 2003;278(11):8877-8880.
  338. De Vriese C, Gregoire F, Lema-Kisoka R, Waelbroeck M, Robberecht P, Delporte C. Ghrelin degradation by serum and tissue homogenates: identification of the cleavage sites. Endocrinology. 2004;145(11):4997-5005.
  339. Korbonits M, Bustin SA, Kojima M, Jordan S, Adams EF, Lowe DG, Kangawa K, Grossman AB. The expression of the growth hormone secretagogue receptor ligand ghrelin in normal and abnormal human pituitary and other neuroendocrine tumors. J Clin Endocrinol Metab. 2001;86(2):881-887.
  340. Caminos JE, Nogueiras R, Blanco M, Seoane LM, Bravo S, Alvarez CV, Garcia-Caballero T, Casanueva FF, Dieguez C. Cellular distribution and regulation of ghrelin messenger ribonucleic acid in the rat pituitary gland. Endocrinology. 2003;144(11):5089-5097.
  341. Kojima M, Hosoda H, Date Y, Nakazato M, Matsuo H, Kangawa K. Ghrelin is a growth-hormone-releasing acylated peptide from stomach. Nature. 1999;402(6762):656-660.
  342. Muccioli G, Tschop M, Papotti M, Deghenghi R, Heiman M, Ghigo E. Neuroendocrine and peripheral activities of ghrelin: implications in metabolism and obesity. Eur J Pharmacol. 2002;440(2-3):235-254.
  343. Wren A, Small C, Abbott C, Dhillo W, Seal L, Cohen M, Batterham R, Taheri S, Stanley S, Ghatei M, Bloom S. Ghrelin causes hyperphagia and obesity in rats. Diabetes. 2001;50(11):2540-2547.
  344. Wren A, Seal L, Cohen M, Brynes A, Frost G, Murphy K, Dhillo W, Ghatei M, Bloom S. Ghrelin enhances appetite and increases food intake in humans. J Clin Endocrinol Metab. 2001;86(12):5992.
  345. Date Y, Nakazato M, Hashiguchi S, Dezaki K, Mondal M, Hosoda H, Kojima M, Kangawa K, Arima T, Matsuo H, Yada T, Matsukura S. Ghrelin is present in pancreatic alpha-cells of humans and rats and stimulates insulin secretion. Diabetes. 2002;51(1):124-129.
  346. Takaya K, Ariyasu H, Kanamoto N, Iwakura H, Yoshimoto A, Harada M, Mori K, Komatsu Y, Usui T, Shimatsu A, Ogawa Y, Hosoda K, Akamizu T, Kojima M, Kangawa K, Nakao K. Ghrelin strongly stimulates growth hormone release in humans. J Clin Endocrinol Metab. 2000;85(12):4908-4911.
  347. Sun Y, Ahmed S, Smith RG. Deletion of ghrelin impairs neither growth nor appetite. Mol Cell Biol.2003;23(22):7973-7981.
  348. Hassouna R, Zizzari P, Tomasetto C, Veldhuis JD, Fiquet O, Labarthe A, Cognet J, Steyn F, Chen C, Epelbaum J, Tolle V. An early reduction in GH peak amplitude in preproghrelin-deficient male mice has a minor impact on linear growth. Endocrinology. 2014;155(9):3561-3571.
  349. Wortley KE, Anderson KD, Garcia K, Murray JD, Malinova L, Liu R, Moncrieffe M, Thabet K, Cox HJ, Yancopoulos GD, Wiegand SJ, Sleeman MW. Genetic deletion of ghrelin does not decrease food intake but influences metabolic fuel preference. Proc Natl Acad Sci U S A. 2004;101(21):8227-8232.
  350. Sun Y, Wang P, Zheng H, Smith RG. Ghrelin stimulation of growth hormone release and appetite is mediated through the growth hormone secretagogue receptor. Proc Natl Acad Sci U S A. 2004;101(13):4679-4684.
  351. Xie TY, Ngo ST, Veldhuis JD, Jeffery PL, Chopin LK, Tschop M, Waters MJ, Tolle V, Epelbaum J, Chen C, Steyn FJ. Effect of Deletion of Ghrelin-O-Acyltransferase on the Pulsatile Release of Growth Hormone in Mice. J Neuroendocrinol. 2015;27(12):872-886.
  352. Baldanzi G, Filigheddu N, Cutrupi S, Catapano F, Bonissoni S, Fubini A, Malan D, Baj G, Granata R, Broglio F, Papotti M, Surico N, Bussolino F, Isgaard J, Deghenghi R, Sinigaglia F, Prat M, Muccioli G, Ghigo E, Graziani A. Ghrelin and des-acyl ghrelin inhibit cell death in cardiomyocytes and endothelial cells through ERK1/2 and PI 3-kinase/AKT. J Cell Biol. 2002;159(6):1029-1037.
  353. Cassoni P, Ghe C, Marrocco T, Tarabra E, Allia E, Catapano F, Deghenghi R, Ghigo E, Papotti M, Muccioli G. Expression of ghrelin and biological activity of specific receptors for ghrelin and des-acyl ghrelin in human prostate neoplasms and related cell lines. Eur J Endocrinol. 2004;150(2):173-184.
  354. Muccioli G, Pons N, Ghe C, Catapano F, Granata R, Ghigo E. Ghrelin and des-acyl ghrelin both inhibit isoproterenol-induced lipolysis in rat adipocytes via a non-type 1a growth hormone secretagogue receptor. Eur J Pharmacol. 2004;498(1-3):27-35.
  355. Tsubota Y, Owada-Makabe K, Yukawa K, Maeda M. Hypotensive effect of des-acyl ghrelin at nucleus tractus solitarii of rat. Neuroreport. 2005;16(2):163-166.
  356. Asakawa A, Inui A, Fujimiya M, Sakamaki R, Shinfuku N, Ueta Y, Meguid MM, Kasuga M. Stomach regulates energy balance via acylated ghrelin and desacyl ghrelin. Gut. 2005;54(1):18-24.
  357. Neary NM, Druce MR, Small CJ, Bloom SR. Acylated ghrelin stimulates food intake in the fed and fasted states but desacylated ghrelin has no effect. Gut. 2006;55(1):135.
  358. Chen CY, Inui A, Asakawa A, Fujino K, Kato I, Chen CC, Ueno N, Fujimiya M. Des-acyl ghrelin acts by CRF type 2 receptors to disrupt fasted stomach motility in conscious rats. Gastroenterology. 2005;129(1):8-25.
  359. Popovic V, Damjanovic S, Micic D, Djurovic M, Dieguez C, Casanueva FF. Blocked growth hormone-releasing peptide (GHRP-6)-induced GH secretion and absence of the synergic action of GHRP-6 plus GH-releasing hormone in patients with hypothalamopituitary disconnection: evidence that GHRP-6 main action is exerted at the hypothalamic level. J Clin Endocrinol Metab. 1995;80(3):942-947.
  360. Seoane LM, Tovar S, Baldelli R, Arvat E, Ghigo E, Casanueva FF, Dieguez C. Ghrelin elicits a marked stimulatory effect on GH secretion in freely-moving rats. Eur J Endocrinol. 2000;143(5):R7-9.
  361. Bowers CY, Sartor AO, Reynolds GA, Badger TM. On the actions of the growth hormone-releasing hexapeptide, GHRP. Endocrinology. 1991;128(4):2027-2035.
  362. Garcia JM, Swerdloff R, Wang C, Kyle M, Kipnes M, Biller BM, Cook D, Yuen KC, Bonert V, Dobs A, Molitch ME, Merriam GR. Macimorelin (AEZS-130)-stimulated growth hormone (GH) test: validation of a novel oral stimulation test for the diagnosis of adult GH deficiency. J Clin Endocrinol Metab. 2013;98(6):2422-2429.
  363. Ge X, Yang H, Bednarek MA, Galon-Tilleman H, Chen P, Chen M, Lichtman JS, Wang Y, Dalmas O, Yin Y, Tian H, Jermutus L, Grimsby J, Rondinone CM, Konkar A, Kaplan DD. LEAP2 Is an Endogenous Antagonist of the Ghrelin Receptor. Cell Metab. 2018;27(2):461-469 e466.
  364. Mani BK, Puzziferri N, He Z, Rodriguez JA, Osborne-Lawrence S, Metzger NP, Chhina N, Gaylinn B, Thorner MO, Thomas EL, Bell JD, Williams KW, Goldstone AP, Zigman JM. LEAP2 changes with body mass and food intake in humans and mice. The Journal of clinical investigation. 2019;129(9):3909-3923.
  365. Casanueva FF, Burguera B, Muruais C, Dieguez C. Acute administration of corticoids: a new and peculiar stimulus of growth hormone secretion in man. J Clin Endocrinol Metab. 1990;70(1):234-237.
  366. Burguera B, Muruais C, Penalva A, Dieguez C, Casanueva FF. Dual and selective actions of glucocorticoids upon basal and stimulated growth hormone release in man. Neuroendocrinology. 1990;51(1):51-58.
  367. Strickland AL, Underwood LE, Voina SJ, French FS, Van Wyk JJ. Growth retardation in Cushing's syndrome. Am J Dis Child. 1972;123(3):207-213.
  368. Giustina A, Wehrenberg WB. The role of glucocorticoids in the regulation of Growth Hormone secretion: mechanisms and clinical significance. Trends Endocrinol Metab. 1992;3(8):306-311.
  369. Veldhuis JD, Roemmich JN, Richmond EJ, Bowers CY. Somatotropic and gonadotropic axes linkages in infancy, childhood, and the puberty-adult transition. Endocr Rev. 2006;27(2):101-140.
  370. Kok P, Paulo RC, Cosma M, Mielke KL, Miles JM, Bowers CY, Veldhuis JD. Estrogen supplementation selectively enhances hypothalamo-pituitary sensitivity to ghrelin in postmenopausal women. J Clin Endocrinol Metab.2008;93(10):4020-4026.
  371. Leung KC, Johannsson G, Leong GM, Ho KK. Estrogen regulation of growth hormone action. Endocr Rev.2004;25(5):693-721.
  372. Amit Tanna RM, Harinderjeet Sandhu, Jake Powrie, Stephen Thomas, Anna Brackenridge, Louise Breen & Paul Carroll. Oral and transdermal oestrogen treatments have differing effects on GH sensitivity in hypopituitary women receiving GH replacement. Endocrine Abstract. 2010;21 P286
  373. Weissberger AJ, Ho KK, Lazarus L. Contrasting effects of oral and transdermal routes of estrogen replacement therapy on 24-hour growth hormone (GH) secretion, insulin-like growth factor I, and GH-binding protein in postmenopausal women. J Clin Endocrinol Metab. 1991;72(2):374-381.
  374. Isotton AL, Wender MC, Casagrande A, Rollin G, Czepielewski MA. Effects of oral and transdermal estrogen on IGF1, IGFBP3, IGFBP1, serum lipids, and glucose in patients with hypopituitarism during GH treatment: a randomized study. Eur J Endocrinol. 2014;166(2):207-213.
  375. Zhang Y, Proenca R, Maffei M, Barone M, Leopold L, Friedman JM. Positional cloning of the mouse obese gene and its human homologue. Nature. 1994;372(6505):425-432.
  376. Pelleymounter MA, Cullen MJ, Baker MB, Hecht R, Winters D, Boone T, Collins F. Effects of the obese gene product on body weight regulation in ob/ob mice. Science. 1995;269(5223):540-543.
  377. Schwartz MW, Woods SC, Porte D, Jr., Seeley RJ, Baskin DG. Central nervous system control of food intake. Nature. 2000;404(6778):661-671.
  378. Jin L, Burguera BG, Couce ME, Scheithauer BW, Lamsan J, Eberhardt NL, Kulig E, Lloyd RV. Leptin and leptin receptor expression in normal and neoplastic human pituitary: evidence of a regulatory role for leptin on pituitary cell proliferation. J Clin Endocrinol Metab. 1999;84(8):2903-2911.
  379. Korbonits M, Chitnis MM, Gueorguiev M, Norman D, Rosenfelder N, Suliman M, Jones TH, Noonan K, Fabbri A, Besser GM, Burrin JM, Grossman AB. The release of leptin and its effect on hormone release from human pituitary adenomas. Clin Endocrinol (Oxf). 2001;54(6):781-789.
  380. Kristiansen MT, Clausen LR, Nielsen S, Blaabjerg O, Ledet T, Rasmussen LM, Jorgensen JO. Expression of leptin receptor isoforms and effects of leptin on the proliferation and hormonal secretion in human pituitary adenomas. Horm Res. 2004;62(3):129-136.
  381. Saleri R, Giustina A, Tamanini C, Valle D, Burattin A, Wehrenberg WB, Baratta M. Leptin stimulates growth hormone secretion via a direct pituitary effect combined with a decreased somatostatin tone in a median eminence-pituitary perifusion study. Neuroendocrinology. 2004;79(4):221-228.
  382. Tannenbaum GS, Lapointe M, Gurd W, Finkelstein JA. Mechanisms of impaired growth hormone secretion in genetically obese Zucker rats: roles of growth hormone-releasing factor and somatostatin. Endocrinology.1990;127(6):3087-3095.
  383. Ozata M, Dieguez C, Casanueva FF. The inhibition of growth hormone secretion presented in obesity is not mediated by the high leptin levels: a study in human leptin deficiency patients. J Clin Endocrinol Metab.2003;88(1):312-316.
  384. Sun Y, Bak B, Schoenmakers N, van Trotsenburg AS, Oostdijk W, Voshol P, Cambridge E, White JK, le Tissier P, Gharavy SN, Martinez-Barbera JP, Stokvis-Brantsma WH, Vulsma T, Kempers MJ, Persani L, Campi I, Bonomi M, Beck-Peccoz P, Zhu H, Davis TM, Hokken-Koelega AC, Del Blanco DG, Rangasami JJ, Ruivenkamp CA, Laros JF, Kriek M, Kant SG, Bosch CA, Biermasz NR, Appelman-Dijkstra NM, Corssmit EP, Hovens GC, Pereira AM, den Dunnen JT, Wade MG, Breuning MH, Hennekam RC, Chatterjee K, Dattani MT, Wit JM, Bernard DJ. Loss-of-function mutations in IGSF1 cause an X-linked syndrome of central hypothyroidism and testicular enlargement. Nat Genet. 2012;44(12):1375-1381.
  385. Joustra SD, Roelfsema F, Endert E, Ballieux BE, van Trotsenburg AS, Fliers E, Corssmit EP, Bernard DJ, Oostdijk W, Wit JM, Pereira AM, Biermasz NR. Pituitary Hormone Secretion Profiles in IGSF1 Deficiency Syndrome. Neuroendocrinology. 2016;103(3-4):408-416.
  386. Joustra SD, Roelfsema F, van Trotsenburg ASP, Schneider HJ, Kosilek RP, Kroon HM, Logan JG, Butterfield NC, Zhou X, Toufaily C, Bak B, Turgeon MO, Brule E, Steyn FJ, Gurnell M, Koulouri O, Le Tissier P, Fontanaud P, Duncan Bassett JH, Williams GR, Oostdijk W, Wit JM, Pereira AM, Biermasz NR, Bernard DJ, Schoenmakers N. IGSF1 Deficiency Results in Human and Murine Somatotrope Neurosecretory Hyperfunction. J Clin Endocrinol Metab. 2020;105(3).
  387. Gutierrez-Pascual E, Martinez-Fuentes AJ, Pinilla L, Tena-Sempere M, Malagon MM, Castano JP. Direct pituitary effects of kisspeptin: activation of gonadotrophs and somatotrophs and stimulation of luteinising hormone and growth hormone secretion. J Neuroendocrinol. 2007;19(7):521-530.
  388. Kadokawa H, Suzuki S, Hashizume T. Kisspeptin-10 stimulates the secretion of growth hormone and prolactin directly from cultured bovine anterior pituitary cells. Anim Reprod Sci. 2008;105(3-4):404-408.
  389. Whitlock BK, Daniel JA, Wilborn RR, Maxwell HS, Steele BP, Sartin JL. Interaction of kisspeptin and the somatotropic axis. Neuroendocrinology. 2010;92(3):178-188.
  390. Jayasena CN, Comninos AN, Narayanaswamy S, Bhalla S, Abbara A, Ganiyu-Dada Z, Busbridge M, Ghatei MA, Bloom SR, Dhillo WS. Acute and chronic effects of kisspeptin-54 administration on GH, prolactin and TSH secretion in healthy women. Clin Endocrinol (Oxf). 2014;81(6):891-898.
  391. Massara F, Camanni F. Effect of various adrenergic receptor stimulating and blocking agents on human growth hormone secretion. J Endocrinol. 1972;54(2):195-206.
  392. Chihara K, Minamitani N, Kaji H, Kodama H, Kita T, Fujita T. Noradrenergic modulation of human pancreatic growth hormone-releasing factor (hpGHRF1-44)-induced growth hormone release in conscious male rabbits: involvement of endogenous somatostatin. Endocrinology. 1984;114(4):1402-1406.
  393. Milner RD, Burns EC. Investigation of suspected growth hormone deficiency. On behalf of the Health Services Human Growth Hormone Committee. Arch Dis Child. 1982;57(12):944-947.
  394. Grossman A, Weerasuriya K, Al-Damluji S, Turner P, Besser GM. Alpha 2-adrenoceptor agonists stimulate growth hormone secretion but have no acute effects on plasma cortisol under basal conditions. Horm Res. 1987;25(2):65-71.
  395. Masala A, Delitala G, Alagna S, Devilla L. Effect of pimozide on levodopa-induced growth hormone release in man. Clin Endocrinol (Oxf). 1977;7(3):253-256.
  396. Cammani F, Massara F. Phentolamine inhibition of human growth hormone secretion induced by L-DOPA. Horm Metab Res. 1972;4(2):128.
  397. Giustina A, Veldhuis JD. Pathophysiology of the neuroregulation of growth hormone secretion in experimental animals and the human. Endocr Rev. 1998;19(6):717-797.
  398. Friend K, Iranmanesh A, Login IS, Veldhuis JD. Pyridostigmine treatment selectively amplifies the mass of GH secreted per burst without altering GH burst frequency, half-life, basal GH secretion or the orderliness of GH release. Eur J Endocrinol. 1997;137(4):377-386.
  399. Taylor BJ, Smith PJ, Brook CG. Inhibition of physiological growth hormone secretion by atropine. Clin Endocrinol (Oxf). 1985;22(4):497-501.
  400. Massara F, Ghigo E, Demislis K, Tangolo D, Mazza E, Locatelli V, Muller EE, Molinatti GM, Camanni F. Cholinergic involvement in the growth hormone releasing hormone-induced growth hormone release: studies in normal and acromegalic subjects. Neuroendocrinology. 1986;43(6):670-675.
  401. Wehrenberg WB, Wiviott SD, Voltz DM, Giustina A. Pyridostigmine-mediated growth hormone release: evidence for somatostatin involvement. Endocrinology. 1992;130(3):1445-1450.
  402. Vance ML, Kaiser DL, Frohman LA, Rivier J, Vale WW, Thorner MO. Role of dopamine in the regulation of growth hormone secretion: dopamine and bromocriptine augment growth hormone (GH)-releasing hormone-stimulated GH secretion in normal man. J Clin Endocrinol Metab. 1987;64(6):1136-1141.
  403. Grossman A. Brain opiates and neuroendocrine function. Clin Endocrinol Metab. 1983;12(3):725-746.
  404. Moretti C, Fabbri A, Gnessi L, Cappa M, Calzolari A, Fraioli F, Grossman A, Besser GM. Naloxone inhibits exercise-induced release of PRL and GH in athletes. Clin Endocrinol (Oxf). 1983;18(2):135-138.
  405. Miki N, Ono M, Shizume K. Evidence that opiatergic and alpha-adrenergic mechanisms stimulate rat growth hormone release via growth hormone-releasing factor (GRF). Endocrinology. 1984;114(5):1950-1952.
  406. Olsen J, Peroski M, Kiczek M, Grignol G, Merchenthaler I, Dudas B. Intimate associations between the endogenous opiate systems and the growth hormone-releasing hormone system in the human hypothalamus. Neuroscience. 2014;258:238-245.
  407. Dudas B, Merchenthaler I. Topography and associations of leu-enkephalin and luteinizing hormone-releasing hormone neuronal systems in the human diencephalon. J Clin Endocrinol Metab. 2003;88(4):1842-1848.
  408. Delitala G, Tomasi PA, Palermo M, Ross RJ, Grossman A, Besser GM. Opioids stimulate growth hormone (GH) release in man independently of GH-releasing hormone. J Clin Endocrinol Metab. 1989;69(2):356-358.
  409. Wenger T, Toth BE, Martin BR. Effects of anandamide (endogen cannabinoid) on anterior pituitary hormone secretion in adult ovariectomized rats. Life Sci. 1995;56(23-24):2057-2063.
  410. Rettori V, Wenger T, Snyder G, Dalterio S, McCann SM. Hypothalamic action of delta-9-tetrahydrocannabinol to inhibit the release of prolactin and growth hormone in the rat. Neuroendocrinology. 1988;47(6):498-503.
  411. Rettori V, Aguila MC, Gimeno MF, Franchi AM, McCann SM. In vitro effect of delta 9-tetrahydrocannabinol to stimulate somatostatin release and block that of luteinizing hormone-releasing hormone by suppression of the release of prostaglandin E2. Proc Natl Acad Sci U S A. 1990;87(24):10063-10066.
  412. Zbucki RL, Sawicki B, Hryniewicz A, Winnicka MM. Cannabinoids enhance gastric X/A-like cells activity. Folia Histochem Cytobiol. 2008;46(2):219-224.
  413. Senin LL, Al-Massadi O, Folgueira C, Castelao C, Pardo M, Barja-Fernandez S, Roca-Rivada A, Amil M, Crujeiras AB, Garcia-Caballero T, Gabellieri E, Leis R, Dieguez C, Pagotto U, Casanueva FF, Seoane LM. The gastric CB1 receptor modulates ghrelin production through the mTOR pathway to regulate food intake. PLoS One.2013;8(11):e80339.
  414. Kola B, Farkas I, Christ-Crain M, Wittmann G, Lolli F, Amin F, Harvey-White J, Liposits Z, Kunos G, Grossman AB, Fekete C, Korbonits M. The orexigenic effect of ghrelin is mediated through central activation of the endogenous cannabinoid system. PLoS One. 2008;3(3):e1797.
  415. Kola B, Wittman G, Bodnar I, Amin F, Lim CT, Olah M, Christ-Crain M, Lolli F, van Thuijl H, Leontiou CA, Fuzesi T, Dalino P, Isidori AM, Harvey-White J, Kunos G, Nagy GM, Grossman AB, Fekete C, Korbonits M. The CB1 receptor mediates the peripheral effects of ghrelin on AMPK activity but not on growth hormone release. FASEB J.2013;27(12):5112-5121.
  416. Lim CT, Kola B, Korbonits M. The ghrelin/GOAT/GHS-R system and energy metabolism. Rev Endocr Metab Disord. 2011;12(3):173-186.
  417. Lim CT, Kola B, Feltrin D, Perez-Tilve D, Tschop MH, Grossman AB, Korbonits M. Ghrelin and cannabinoids require the ghrelin receptor to affect cellular energy metabolism. Mol Cell Endocrinol. 2013;365(2):303-308.
  418. Quabbe HJ, Bratzke HJ, Siegers U, Elban K. Studies on the relationship between plasma free fatty acids and growth hormone secretion in man. The Journal of clinical investigation. 1972;51(9):2388-2398.
  419. Wasada T, Howard B, McCorkle K, Harris V, Unger RH. High plasma free fatty acid levels contribute to the hypersomatostatinemia of insulin deficiency. Diabetes. 1981;30(4):358-361.
  420. Senaris RM, Lewis MD, Lago F, Dominguez F, Scanlon MF, Dieguez C. Effects of free fatty acids on somatostatin secretion, content and mRNA levels in cortical and hypothalamic fetal rat neurones in monolayer culture. J Mol Endocrinol. 1993;10(2):207-214.
  421. Giustina A, Licini M, Schettino M, Doga M, Pizzocolo G, Negro-Vilar A. Physiological role of galanin in the regulation of anterior pituitary function in humans. Am J Physiol. 1994;266(1 Pt 1):E57-61.
  422. Cantalamessa L, Catania A, Reschini E, Peracchi M. Inhibitory effect of calcitonin on growth hormone and insulin secretion in man. Metabolism. 1978;27(8):987-992.
  423. Petralito A, Lunetta M, Liuzzo A, Mangiafico RA, Fiore CE. Effects of salmon calcitonin on insulin-induced growth hormone release in man. Horm Metab Res. 1979;11(11):641-643.
  424. Harfstrand A, Eneroth P, Agnati L, Fuxe K. Further studies on the effects of central administration of neuropeptide Y on neuroendocrine function in the male rat: relationship to hypothalamic catecholamines. Regul Pept.1987;17(3):167-179.
  425. Rettori V, Milenkovic L, Aguila MC, McCann SM. Physiologically significant effect of neuropeptide Y to suppress growth hormone release by stimulating somatostatin discharge. Endocrinology. 1990;126(5):2296-2301.
  426. Catzeflis C, Pierroz DD, Rohner-Jeanrenaud F, Rivier JE, Sizonenko PC, Aubert ML. Neuropeptide Y administered chronically into the lateral ventricle profoundly inhibits both the gonadotropic and the somatotropic axis in intact adult female rats. Endocrinology. 1993;132(1):224-234.
  427. Adams EF, Venetikou MS, Woods CA, Lacoumenta S, Burrin JM. Neuropeptide Y directly inhibits growth hormone secretion by human pituitary somatotropic tumours. Acta Endocrinol (Copenh). 1987;115(1):149-154.
  428. Korbonits M, Little JA, Forsling ML, Tringali G, Costa A, Navarra P, Trainer PJ, Grossman AB. The effect of growth hormone secretagogues and neuropeptide Y on hypothalamic hormone release from acute rat hypothalamic explants. J Neuroendocrinol. 1999;11(7):521-528.
  429. Watanobe H, Tamura T. Stimulation by neuropeptide Y of growth hormone secretion in prolactinoma in vivo. Neuropeptides. 1996;30(5):429-432.
  430. Antonijevic IA, Murck H, Bohlhalter S, Frieboes RM, Holsboer F, Steiger A. Neuropeptide Y promotes sleep and inhibits ACTH and cortisol release in young men. Neuropharmacology. 2000;39(8):1474-1481.
  431. Miyata A, Arimura A, Dahl RR, Minamino N, Uehara A, Jiang L, Culler MD, Coy DH. Isolation of a novel 38 residue-hypothalamic polypeptide which stimulates adenylate cyclase in pituitary cells. Biochem Biophys Res Commun. 1989;164(1):567-574.
  432. Goth MI, Lyons CE, Canny BJ, Thorner MO. Pituitary adenylate cyclase activating polypeptide, growth hormone (GH)-releasing peptide and GH-releasing hormone stimulate GH release through distinct pituitary receptors. Endocrinology. 1992;130(2):939-944.
  433. Jarry H, Leonhardt S, Schmidt WE, Creutzfeldt W, Wuttke W. Contrasting effects of pituitary adenylate cyclase activating polypeptide (PACAP) on in vivo and in vitro prolactin and growth hormone release in male rats. Life Sci.1992;51(11):823-830.
  434. Propato-Mussafiri R, Kanse SM, Ghatei MA, Bloom SR. Pituitary adenylate cyclase-activating polypeptide releases 7B2, adrenocorticotrophin, growth hormone and prolactin from the mouse and rat clonal pituitary cell lines AtT-20 and GH3. J Endocrinol. 1992;132(1):107-113.
  435. Chiodera P, Volpi R, Capretti L, Caffarri G, Magotti MG, Coiro V. Effects of intravenously infused pituitary adenylate cyclase-activating polypeptide on adenohypophyseal Hormone secretion in normal men. Neuroendocrinology.1996;64(3):242-246.
  436. Shahmoon S, Rubinfeld H, Wolf I, Cohen ZR, Hadani M, Shimon I, Rubinek T. The aging suppressor klotho: a potential regulator of growth hormone secretion. Am J Physiol Endocrinol Metab. 2014;307(3):E326-334.
  437. Abboud D, Daly AF, Dupuis N, Bahri MA, Inoue A, Chevigne A, Ectors F, Plenevaux A, Pirotte B, Beckers A, Hanson J. GPR101 drives growth hormone hypersecretion and gigantism in mice via constitutive activation of Gs and Gq/11. Nat Commun. 2020;11(1):4752.
  438. Iacovazzo D, Caswell R, Bunce B, Jose S, Yuan B, Hernandez-Ramirez LC, Kapur S, Caimari F, Evanson J, Ferrau F, Dang MN, Gabrovska P, Larkin SJ, Ansorge O, Rodd C, Vance ML, Ramirez-Renteria C, Mercado M, Goldstone AP, Buchfelder M, Burren CP, Gurlek A, Dutta P, Choong CS, Cheetham T, Trivellin G, Stratakis CA, Lopes MB, Grossman AB, Trouillas J, Lupski JR, Ellard S, Sampson JR, Roncaroli F, Korbonits M. Germline or somatic GPR101 duplication leads to X-linked acrogigantism: a clinico-pathological and genetic study. Acta Neuropathol Commun. 2016;4(1):56.
  439. Iacovazzo D, Korbonits M. Gigantism: X-linked acrogigantism and GPR101 mutations. Growth Horm IGF Res.2016;30-31:64-69.
  440. Beckers A, Lodish MB, Trivellin G, Rostomyan L, Lee M, Faucz FR, Yuan B, Choong CS, Caberg JH, Verrua E, Naves LA, Cheetham TD, Young J, Lysy PA, Petrossians P, Cotterill A, Shah NS, Metzger D, Castermans E, Ambrosio MR, Villa C, Strebkova N, Mazerkina N, Gaillard S, Barra GB, Casulari LA, Neggers SJ, Salvatori R, Jaffrain-Rea ML, Zacharin M, Santamaria BL, Zacharieva S, Lim EM, Mantovani G, Zatelli MC, Collins MT, Bonneville JF, Quezado M, Chittiboina P, Oldfield EH, Bours V, Liu P, W WdH, Pellegata N, Lupski JR, Daly AF, Stratakis CA. X-linked acrogigantism syndrome: clinical profile and therapeutic responses. Endocr Relat Cancer.2015;22(3):353-367.
  441. Trivellin G, Daly AF, Faucz FR, Yuan B, Rostomyan L, Larco DO, Schernthaner-Reiter MH, Szarek E, Leal LF, Caberg JH, Castermans E, Villa C, Dimopoulos A, Chittiboina P, Xekouki P, Shah N, Metzger D, Lysy PA, Ferrante E, Strebkova N, Mazerkina N, Zatelli MC, Lodish M, Horvath A, de Alexandre RB, Manning AD, Levy I, Keil MF, Sierra Mde L, Palmeira L, Coppieters W, Georges M, Naves LA, Jamar M, Bours V, Wu TJ, Choong CS, Bertherat J, Chanson P, Kamenicky P, Farrell WE, Barlier A, Quezado M, Bjelobaba I, Stojilkovic SS, Wess J, Costanzi S, Liu P, Lupski JR, Beckers A, Stratakis CA. Gigantism and acromegaly due to Xq26 microduplications and GPR101 mutation. N Engl J Med. 2014;371(25):2363-2374.
  442. Cowley MA, Grove KL. To be or NUCB2, is nesfatin the answer? Cell Metab. 2006;4(6):421-422.
  443. Velez EJ, Unniappan S. Nesfatin-1 and nesfatin-1-like peptide suppress growth hormone synthesis via the AC/PKA/CREB pathway in mammalian somatotrophs. Sci Rep. 2020;10(1):16686.
  444. Peterfreund RA, Vale WW. Somatostatin analogs inhibit somatostatin secretion from cultured hypothalamus cells. Neuroendocrinology. 1984;39(5):397-402.
  445. Aguila MC, McCann SM. The influence of hGRF, CRF, TRH and LHRH on SRIF release from median eminence fragments. Brain Res. 1985;348(1):180-182.
  446. Sheppard MC, Kronheim S, Pimstone BL. Stimulation by growth hormone of somatostatin release from the rat hypothalamus in vitro. Clin Endocrinol (Oxf). 1978;9(6):583-586.
  447. Ross RJ, Tsagarakis S, Grossman A, Nhagafoong L, Touzel RJ, Rees LH, Besser GM. GH feedback occurs through modulation of hypothalamic somatostatin under cholinergic control: studies with pyridostigmine and GHRH. Clin Endocrinol (Oxf). 1987;27(6):727-733.
  448. Aguila MC, McCann SM. Growth hormone increases somatostatin release and messenger ribonucleic acid levels in the rat hypothalamus. Brain Res. 1993;623(1):89-94.
  449. Qi X, Reed J, Englander EW, Chandrashekar V, Bartke A, Greeley GH, Jr. Evidence that growth hormone exerts a feedback effect on stomach ghrelin production and secretion. Exp Biol Med (Maywood). 2003;228(9):1028-1032.
  450. Goldenberg N, Barkan A. Factors regulating growth hormone secretion in humans. Endocrinol Metab Clin North Am. 2007;36(1):37-55.
  451. Berelowitz M, Szabo M, Frohman LA, Firestone S, Chu L, Hintz RL. Somatomedin-C mediates growth hormone negative feedback by effects on both the hypothalamus and the pituitary. Science. 1981;212(4500):1279-1281.
  452. Yamashita S, Melmed S. Insulin-like growth factor I action on rat anterior pituitary cells: suppression of growth hormone secretion and messenger ribonucleic acid levels. Endocrinology. 1986;118(1):176-182.
  453. Eden S, Bolle P, Modigh K. Monoaminergic control of episodic growth hormone secretion in the rat: effects of reserpine, alpha-methyl-p-tyrosine, p-chlorophenylalanine, and haloperidol. Endocrinology. 1979;105(2):523-529.
  454. Iranmanesh A, Grisso B, Veldhuis JD. Low basal and persistent pulsatile growth hormone secretion are revealed in normal and hyposomatotropic men studied with a new ultrasensitive chemiluminescence assay. J Clin Endocrinol Metab. 1994;78(3):526-535.
  455. Toogood AA, Nass RM, Pezzoli SS, O'Neill PA, Thorner MO, Shalet SM. Preservation of growth hormone pulsatility despite pituitary pathology, surgery, and irradiation. J Clin Endocrinol Metab. 1997;82(7):2215-2221.
  456. Surya S, Symons K, Rothman E, Barkan AL. Complex rhythmicity of growth hormone secretion in humans. Pituitary. 2006;9(2):121-125.
  457. Tannenbaum GS, Painson JC, Lengyel AM, Brazeau P. Paradoxical enhancement of pituitary growth hormone (GH) responsiveness to GH-releasing factor in the face of high somatostatin tone. Endocrinology.1989;124(3):1380-1388.
  458. Plotsky PM, Vale W. Patterns of growth hormone-releasing factor and somatostatin secretion into the hypophysial-portal circulation of the rat. Science. 1985;230(4724):461-463.
  459. Cataldi M, Magnan E, Guillaume V, Dutour A, Conte-Devolx B, Lombardi G, Oliver C. Relationship between hypophyseal portal GHRH and somatostatin and peripheral GH levels in the conscious sheep. J Endocrinol Invest.1994;17(9):717-722.
  460. Vance ML, Kaiser DL, Martha PM, Jr., Furlanetto R, Rivier J, Vale W, Thorner MO. Lack of in vivo somatotroph desensitization or depletion after 14 days of continuous growth hormone (GH)-releasing hormone administration in normal men and a GH-deficient boy. J Clin Endocrinol Metab. 1989;68(1):22-28.
  461. Roelfsema F, Biermasz NR, Veldman RG, Veldhuis JD, Frolich M, Stokvis-Brantsma WH, Wit JM. Growth hormone (GH) secretion in patients with an inactivating defect of the GH-releasing hormone (GHRH) receptor is pulsatile: evidence for a role for non-GHRH inputs into the generation of GH pulses. J Clin Endocrinol Metab.2001;86(6):2459-2464.
  462. van den Berg G, Veldhuis JD, Frolich M, Roelfsema F. An amplitude-specific divergence in the pulsatile mode of growth hormone (GH) secretion underlies the gender difference in mean GH concentrations in men and premenopausal women. J Clin Endocrinol Metab. 1996;81(7):2460-2467.
  463. Chapman IM, Hartman ML, Straume M, Johnson ML, Veldhuis JD, Thorner MO. Enhanced sensitivity growth hormone (GH) chemiluminescence assay reveals lower postglucose nadir GH concentrations in men than women. J Clin Endocrinol Metab. 1994;78(6):1312-1319.
  464. Cordoba-Chacon J, Gahete MD, Castano JP, Kineman RD, Luque RM. Somatostatin and its receptors contribute in a tissue-specific manner to the sex-dependent metabolic (fed/fasting) control of growth hormone axis in mice. Am J Physiol Endocrinol Metab. 2011;300(1):E46-54.
  465. Udy GB, Towers RP, Snell RG, Wilkins RJ, Park SH, Ram PA, Waxman DJ, Davey HW. Requirement of STAT5b for sexual dimorphism of body growth rates and liver gene expression. Proc Natl Acad Sci U S A.1997;94(14):7239-7244.
  466. Zadik Z, Chalew SA, McCarter RJ, Jr., Meistas M, Kowarski AA. The influence of age on the 24-hour integrated concentration of growth hormone in normal individuals. J Clin Endocrinol Metab. 1985;60(3):513-516.
  467. Rudman D, Feller AG, Nagraj HS, Gergans GA, Lalitha PY, Goldberg AF, Schlenker RA, Cohn L, Rudman IW, Mattson DE. Effects of human growth hormone in men over 60 years old. N Engl J Med. 1990;323(1):1-6.
  468. Fontana L, Partridge L, Longo VD. Extending healthy life span--from yeast to humans. Science.2010;328(5976):321-326.
  469. Junnila RK, List EO, Berryman DE, Murrey JW, Kopchick JJ. The GH/IGF-1 axis in ageing and longevity. Nat Rev Endocrinol. 2013;9(6):366-376.
  470. Nass R, Farhy LS, Liu J, Pezzoli SS, Johnson ML, Gaylinn BD, Thorner MO. Age-dependent decline in acyl-ghrelin concentrations and reduced association of acyl-ghrelin and growth hormone in healthy older adults. J Clin Endocrinol Metab. 2014;99(2):602-608.
  471. Nass R. Growth hormone axis and aging. Endocrinol Metab Clin North Am. 2013;42(2):187-199.
  472. Van Cauter E, Kerkhofs M, Caufriez A, Van Onderbergen A, Thorner MO, Copinschi G. A quantitative estimation of growth hormone secretion in normal man: reproducibility and relation to sleep and time of day. J Clin Endocrinol Metab. 1992;74(6):1441-1450.
  473. Holl RW, Hartman ML, Veldhuis JD, Taylor WM, Thorner MO. Thirty-second sampling of plasma growth hormone in man: correlation with sleep stages. J Clin Endocrinol Metab. 1991;72(4):854-861.
  474. Brandenberger G, Gronfier C, Chapotot F, Simon C, Piquard F. Effect of sleep deprivation on overall 24 h growth-hormone secretion. Lancet. 2000;356(9239):1408.
  475. Van Cauter E, Leproult R, Plat L. Age-related changes in slow wave sleep and REM sleep and relationship with growth hormone and cortisol levels in healthy men. Jama. 2000;284(7):861-868.
  476. Van Cauter E, Latta F, Nedeltcheva A, Spiegel K, Leproult R, Vandenbril C, Weiss R, Mockel J, Legros JJ, Copinschi G. Reciprocal interactions between the GH axis and sleep. Growth Horm IGF Res. 2004;14 Suppl A:S10-17.
  477. Golstein J, Van Cauter E, Desir D, Noel P, Spire JP, Refetoff S, Copinschi G. Effects of "jet lag" on hormonal patterns. IV. Time shifts increase growth hormone release. J Clin Endocrinol Metab. 1983;56(3):433-440.
  478. Vgontzas AN, Mastorakos G, Bixler EO, Kales A, Gold PW, Chrousos GP. Sleep deprivation effects on the activity of the hypothalamic-pituitary-adrenal and growth axes: potential clinical implications. Clin Endocrinol (Oxf).1999;51(2):205-215.
  479. Jaffe CA, Friberg RD, Barkan AL. Suppression of growth hormone (GH) secretion by a selective GH-releasing hormone (GHRH) antagonist. Direct evidence for involvement of endogenous GHRH in the generation of GH pulses. J Clin Invest. 1993;92(2):695-701.
  480. Jaffe CA, Turgeon DK, Friberg RD, Watkins PB, Barkan AL. Nocturnal augmentation of growth hormone (GH) secretion is preserved during repetitive bolus administration of GH-releasing hormone: potential involvement of endogenous somatostatin--a clinical research center study. J Clin Endocrinol Metab. 1995;80(11):3321-3326.
  481. Yildiz BO, Suchard MA, Wong M-L, McCann SM, Licinio J. Alterations in the dynamics of circulating ghrelin, adiponectin, and leptin in human obesity. PNAS. 2004;101(28):10434-10439.
  482. Steiger A, Guldner J, Hemmeter U, Rothe B, Wiedemann K, Holsboer F. Effects of growth hormone-releasing hormone and somatostatin on sleep EEG and nocturnal hormone secretion in male controls. Neuroendocrinology.1992;56(4):566-573.
  483. Weikel JC, Wichniak A, Ising M, Brunner H, Friess E, Held K, Mathias S, Schmid DA, Uhr M, Steiger A. Ghrelin promotes slow-wave sleep in humans. Am J Physiol Endocrinol Metab. 2003;284(2):E407-415.
  484. Sutton J, Lazarus L. Growth hormone in exercise: comparison of physiological and pharmacological stimuli. J Appl Physiol. 1976;41(4):523-527.
  485. Lassarre C, Girard F, Durand J, Raynaud J. Kinetics of human growth hormone during submaximal exercise. J Appl Physiol. 1974;37(6):826-830.
  486. Raynaud J, Capderou A, Martineaud JP, Bordachar J, Durand J. Intersubject variability in growth hormone time course during different types of work. J Appl Physiol. 1983;55(6):1682-1687.
  487. Felsing NE, Brasel JA, Cooper DM. Effect of low and high intensity exercise on circulating growth hormone in men. J Clin Endocrinol Metab. 1992;75(1):157-162.
  488. Vanhelder WP, Goode RC, Radomski MW. Effect of anaerobic and aerobic exercise of equal duration and work expenditure on plasma growth hormone levels. Eur J Appl Physiol Occup Physiol. 1984;52(3):255-257.
  489. Schmidt A, Maier C, Schaller G, Nowotny P, Bayerle-Eder M, Buranyi B, Luger A, Wolzt M. Acute exercise has no effect on ghrelin plasma concentrations. Horm Metab Res. 2004;36(3):174-177.
  490. Chennaoui M, Leger D, Gomez-Merino D. Sleep and the GH/IGF-1 axis: Consequences and countermeasures of sleep loss/disorders. Sleep Med Rev. 2020;49:101223.
  491. Naylor E, Penev PD, Orbeta L, Janssen I, Ortiz R, Colecchia EF, Keng M, Finkel S, Zee PC. Daily social and physical activity increases slow-wave sleep and daytime neuropsychological performance in the elderly. Sleep.2000;23(1):87-95.
  492. Ritsche K, Nindl BC, Wideman L. Exercise-Induced growth hormone during acute sleep deprivation. Physiol Rep.2014;2(10).
  493. Roth J, Glick SM, Yalow RS, Berson SA. Hypoglycemia: a potent stimulus to secretion of growth hormone. Science. 1963;140:987-988.
  494. Greenwood FC, Landon J, Stamp TC. The plasma sugar, free fatty acid, cortisol, and growth hormone response to insulin. I. In control subjects. J Clin Invest. 1966;45(4):429-436.
  495. Hindmarsh PC, Smith PJ, Taylor BJ, Pringle PJ, Brook CG. Comparison between a physiological and a pharmacological stimulus of growth hormone secretion: response to stage IV sleep and insulin-induced hypoglycaemia. Lancet. 1985;2(8463):1033-1035.
  496. Tatar P, Vigas M. Role of alpha 1- and alpha 2-adrenergic receptors in the growth hormone and prolactin response to insulin-induced hypoglycemia in man. Neuroendocrinology. 1984;39(3):275-280.
  497. Jaffe CA, DeMott-Friberg R, Barkan AL. Endogenous growth hormone (GH)-releasing hormone is required for GH responses to pharmacological stimuli. J Clin Invest. 1996;97(4):934-940.
  498. Broglio F, Prodam F, Gottero C, Destefanis S, Me E, Riganti F, Giordano R, Picu A, Balbo M, Van der Lely AJ, Ghigo E, Arvat E. Ghrelin does not mediate the somatotroph and corticotroph responses to the stimulatory effect of glucagon or insulin-induced hypoglycaemia in humans. Clin Endocrinol (Oxf). 2004;60(6):699-704.
  499. Carey LC, Cloutier CT, Lowery BD. Growth hormone and adrenal cortical response to shock and trauma in the human. Ann Surg. 1971;174(3):451-460.
  500. Vigas M, Malatinsky J, Nemeth S, Jurcovicova J. Alpha-adrenergic control of growth hormone release during surgical stress in man. Metabolism. 1977;26(4):399-402.
  501. Roth A, Cligg SM, Yalow RS, Berson SA. Secretion of growth hormone: physiological and experimental modification. Metabolism. 1963;12:557-559.
  502. Penalva A, Burguera B, Casabiell X, Tresguerres JA, Dieguez C, Casanueva FF. Activation of cholinergic neurotransmission by pyridostigmine reverses the inhibitory effect of hyperglycemia on growth hormone (GH) releasing hormone-induced GH secretion in man: does acute hyperglycemia act through hypothalamic release of somatostatin? Neuroendocrinology. 1989;49(5):551-554.
  503. Shiiya T, Nakazato M, Mizuta M, Date Y, Mondal MS, Tanaka M, Nozoe S, Hosoda H, Kangawa K, Matsukura S. Plasma ghrelin levels in lean and obese humans and the effect of glucose on ghrelin secretion. J Clin Endocrinol Metab. 2002;87(1):240-244.
  504. Broglio F, Benso A, Gottero C, Prodam F, Grottoli S, Tassone F, Maccario M, Casanueva FF, Dieguez C, Deghenghi R, Ghigo E, Arvat E. Effects of glucose, free fatty acids or arginine load on the GH-releasing activity of ghrelin in humans. Clin Endocrinol (Oxf). 2002;57(2):265-271.
  505. Hayford JT, Danney MM, Hendrix JA, Thompson RG. Integrated concentration of growth hormone in juvenile-onset diabetes. Diabetes. 1980;29(5):391-398.
  506. Asplin CM, Faria AC, Carlsen EC, Vaccaro VA, Barr RE, Iranmanesh A, Lee MM, Veldhuis JD, Evans WS. Alterations in the pulsatile mode of growth hormone release in men and women with insulin-dependent diabetes mellitus. J Clin Endocrinol Metab. 1989;69(2):239-245.
  507. Salgado LR, Semer M, Nery M, Knoepfelmacher M, Lerario AC, Povoa G, Jana S, Villares SM, Wajchenberg BL, Liberman B, Nicolau W. Effect of glycemic control on growth hormone and IGFBP-1 secretion in patients with type I diabetes mellitus. J Endocrinol Invest. 1996;19(7):433-440.
  508. Ho KY, Veldhuis JD, Johnson ML, Furlanetto R, Evans WS, Alberti KG, Thorner MO. Fasting enhances growth hormone secretion and amplifies the complex rhythms of growth hormone secretion in man. J Clin Invest.1988;81(4):968-975.
  509. Soliman AT, Hassan AE, Aref MK, Hintz RL, Rosenfeld RG, Rogol AD. Serum insulin-like growth factors I and II concentrations and growth hormone and insulin responses to arginine infusion in children with protein-energy malnutrition before and after nutritional rehabilitation. Pediatr Res. 1986;20(11):1122-1130.
  510. Veldhuis JD, Iranmanesh A, Ho KK, Waters MJ, Johnson ML, Lizarralde G. Dual defects in pulsatile growth hormone secretion and clearance subserve the hyposomatotropism of obesity in man. J Clin Endocrinol Metab.1991;72(1):51-59.
  511. Vahl N, Jorgensen JO, Skjaerbaek C, Veldhuis JD, Orskov H, Christiansen JS. Abdominal adiposity rather than age and sex predicts mass and regularity of GH secretion in healthy adults. Am J Physiol. 1997;272(6 Pt 1):E1108-1116.
  512. Ghigo E, Mazza E, Corrias A, Imperiale E, Goffi S, Arvat E, Bellone J, De Sanctis C, Muller EE, Camanni F. Effect of cholinergic enhancement by pyridostigmine on growth hormone secretion in obese adults and children. Metabolism. 1989;38(7):631-633.
  513. Loche S, Pintor C, Cappa M, Ghigo E, Puggioni R, Locatelli V, Muller EE. Pyridostigmine counteracts the blunted growth hormone response to growth hormone-releasing hormone of obese children. Acta Endocrinol (Copenh).1989;120(5):624-628.
  514. Cordido F, Casanueva FF, Dieguez C. Cholinergic receptor activation by pyridostigmine restores growth hormone (GH) responsiveness to GH-releasing hormone administration in obese subjects: evidence for hypothalamic somatostatinergic participation in the blunted GH release of obesity. J Clin Endocrinol Metab. 1989;68(2):290-293.
  515. Cordido F, Penalva A, Peino R, Casanueva FF, Dieguez C. Effect of combined administration of growth hormone (GH)-releasing hormone, GH-releasing peptide-6, and pyridostigmine in normal and obese subjects. Metabolism.1995;44(6):745-748.
  516. Maccario M, Aimaretti G, Grottoli S, Gauna C, Tassone F, Corneli G, Rossetto R, Wu Z, Strasburger CJ, Ghigo E. Effects of 36 hour fasting on GH/IGF-I axis and metabolic parameters in patients with simple obesity. Comparison with normal subjects and hypopituitary patients with severe GH deficiency. Int J Obes Relat Metab Disord.2001;25(8):1233-1239.
  517. Grottoli S, Gauna C, Tassone F, Aimaretti G, Corneli G, Wu Z, Strasburger CJ, Dieguez C, Casanueva FF, Ghigo E, Maccario M. Both fasting-induced leptin reduction and GH increase are blunted in Cushing's syndrome and in simple obesity. Clin Endocrinol (Oxf). 2003;58(2):220-228.
  518. Pedersen MH, Svart MV, Lebeck J, Bidlingmaier M, Stodkilde-Jorgensen H, Pedersen SB, Moller N, Jessen N, Jorgensen JOL. Substrate Metabolism and Insulin Sensitivity During Fasting in Obese Human Subjects: Impact of GH Blockade. J Clin Endocrinol Metab. 2017;102(4):1340-1349.
  519. Carro E, Senaris R, Considine RV, Casanueva FF, Dieguez C. Regulation of in vivo growth hormone secretion by leptin. Endocrinology. 1997;138(5):2203-2206.
  520. Tschop M, Weyer C, Tataranni PA, Devanarayan V, Ravussin E, Heiman ML. Circulating ghrelin levels are decreased in human obesity. Diabetes. 2001;50(4):707-709.
  521. Hansen TK, Dall R, Hosoda H, Kojima M, Kangawa K, Christiansen JS, Jorgensen JO. Weight loss increases circulating levels of ghrelin in human obesity. Clin Endocrinol (Oxf). 2002;56(2):203-206.
  522. Leidy HJ, Gardner JK, Frye BR, Snook ML, Schuchert MK, Richard EL, Williams NI. Circulating Ghrelin Is Sensitive to Changes in Body Weight during a Diet and Exercise Program in Normal-Weight Young Women. J Clin Endocrinol Metab. 2004;89(6):2659-2664.
  523. Lindeman JH, Pijl H, Van Dielen FM, Lentjes EG, Van Leuven C, Kooistra T. Ghrelin and the hyposomatotropism of obesity. Obes Res. 2002;10(11):1161-1166.
  524. Yu AP, Ugwu FN, Tam BT, Lee PH, Ma V, Pang S, Chow AS, Cheng KK, Lai CW, Wong CS, Siu PM. Obestatin and growth hormone reveal the interaction of central obesity and other cardiometabolic risk factors of metabolic syndrome. Sci Rep. 2020;10(1):5495.
  525. Tamboli RA, Antoun J, Sidani RM, Clements A, Harmata EE, Marks-Shulman P, Gaylinn BD, Williams B, Clements RH, Albaugh VL, Abumrad NN. Metabolic responses to exogenous ghrelin in obesity and early after Roux-en-Y gastric bypass in humans. Diabetes Obes Metab. 2017;19(9):1267-1275.
  526. Sukkar MY, Hunter WM, Passmore R. Changes in plasma levels of insulin and growth-hormone levels after a protein meal. Lancet. 1967;2(7524):1020-1022.
  527. Parker ML, Hammond JM, Daughaday WH. The arginine provocative test: an aid in the diagnosis of hyposomatotropism. J Clin Endocrinol Metab. 1967;27(8):1129-1136.
  528. Alba-Roth J, Muller OA, Schopohl J, von Werder K. Arginine stimulates growth hormone secretion by suppressing endogenous somatostatin secretion. J Clin Endocrinol Metab. 1988;67(6):1186-1189.