Associations Between Anti-Mullerian Hormone and Cardiometabolic Health in Reproductive Age Women Are Explained by Body Mass Index.

Adult Anti-Mullerian Hormone / blood Biomarkers / blood Body Mass Index Cardiovascular Diseases / blood Case-Control Studies Cross-Sectional Studies Female Follow-Up Studies Humans Incidence Infertility, Female / blood Polycystic Ovary Syndrome / blood Prognosis United States / epidemiology
anti-mullerian hormone (AMH) cardiometabolic health cardiovascular risk ovarian aging ovarian reserve markers reproductive aging

Journal

The Journal of clinical endocrinology and metabolism
ISSN: 1945-7197
Titre abrégé: J Clin Endocrinol Metab
Pays: United States
ID NLM: 0375362

Informations de publication

Date de publication:
01 01 2020
Historique:
received: 23 05 2019
accepted: 20 09 2019
pubmed: 6 10 2019
medline: 28 7 2020
entrez: 6 10 2019
Statut: ppublish

Résumé

The relationship between reproductive and cardiometabolic aging is unclear. It is unknown if the relationship differs across different clinical populations. To determine whether markers of ovarian reserve are associated with cardiometabolic risk in reproductive aged women with unexplained infertility (UI), polycystic ovary syndrome (PCOS), and regularly cycling women (OVA). Cross-sectional data from 8 US-based academic centers. Women aged 25-40 from 3 clinical populations: 870 with UI, 640 with PCOS, and 921 community-based OVA. Multivariable linear regression models were used to relate anti-mullerian hormone (AMH) and antral follicle count with cardiometabolic parameters including body mass index (BMI), waist circumference (WC), fasting glucose and insulin, homeostasis model assessment-insulin resistance (HOMA-IR), lipids, and C-reactive protein. In age and study site-adjusted models, AMH inversely related to BMI in the UI and OVA groups (P = 0.02 and P < 0.001). Among women with PCOS, AMH inversely related to BMI (P < 0.001), and also to WC (P < 0.001), fasting insulin (P < 0.01), HOMA-IR (P < 0.01), triglycerides (P = 0.04), and C-reactive protein (P < 0.001) and directly related to higher total (P = 0.02), low-density lipoprotein (P < 0.01), and high-density lipoprotein cholesterol (P < 0.01). In OVA, AMH also varied inversely with WC (P < 0.001), fasting insulin (P = 0.02), and HOMA-IR (P = 0.02). Adjustment for BMI eliminated associations in the OVA group but in PCOS, the relationship of AMH to total (P = 0.03) and low-density lipoprotein cholesterol (P = 0.003) remained. Associations observed between AMH and cardiometabolic indices are largely explained by BMI in women with and without PCOS. (J Clin Endocrinol Metab XX: 0-0, 2019).

Identifiants

DOI: 10.1210/clinem/dgz012 PMID: 31586179 PMC: PMC7024739
pubmed: 31586179
pii: 5581647
doi: 10.1210/clinem/dgz012
pmc: PMC7024739
pii:
doi:

Substances chimiques

Biomarkers 0
Anti-Mullerian Hormone 80497-65-0

Types de publication

Journal Article Multicenter Study Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NICHD NIH HHS
ID : U10 HD039005
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NICHD NIH HHS
ID : U10 HD055936
Pays : United States
Organisme : NICHD NIH HHS
ID : U10 HD055925
Pays : United States
Organisme : NICHD NIH HHS
ID : U10 HD038998
Pays : United States
Organisme : NICHD NIH HHS
ID : U10 HD055944
Pays : United States
Organisme : NICHD NIH HHS
ID : U10 HD038992
Pays : United States
Organisme : NICHD NIH HHS
ID : U10 HD077841
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD029834
Pays : United States
Organisme : NICHD NIH HHS
ID : R25 HD075737
Pays : United States
Organisme : NICHD NIH HHS
ID : U10 HD055942
Pays : United States
Organisme : NICHD NIH HHS
ID : R24 HD102061
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD044876
Pays : United States
Organisme : NICHD NIH HHS
ID : U10 HD027049
Pays : United States

Informations de copyright

© Endocrine Society 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Auteurs

Julie S Rios (JS)

Department of Obstetrics & Gynecology, University of Cincinnati, Cincinnati, Ohio.

Eleni A Greenwood (EA)

Department of Obstetrics & Gynecology, University of California San Francisco, San Francisco, California.

Mary Ellen G Pavone (MEG)

Department of Obstetrics & Gynecology, Northwestern University, Chicago, Illinois.

Marcelle I Cedars (MI)

Department of Obstetrics & Gynecology, University of California San Francisco, San Francisco, California.

Richard S Legro (RS)

Department of Obstetrics & Gynecology, Pennsylvania State University, Hershey, Pennsylvania.

Michael P Diamond (MP)

Department of Obstetrics & Gynecology, Augusta University, Augusta, Georgia.

Nanette Santoro (N)

Department of Obstetrics and Gynecology, University of Colorado, Denver, Colorado.

Fangbai Sun (F)

Collaborative Center for Statistics in Science, Yale School of Public Health, New Haven, Connecticut.

Randal D Robinson (RD)

Department of Obstetrics and Gynecology, University of Texas Health Science Center at San Antonio, San Antonio, Texas.

Gregory Christman (G)

Department of Obstetrics and Gynecology, University of Florida, Gainesville, Florida.

Heping Zhang (H)

Collaborative Center for Statistics in Science, Yale School of Public Health, New Haven, Connecticut.

Heather G Huddleston (HG)

Department of Obstetrics & Gynecology, University of California San Francisco, San Francisco, California.

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