Evidence mapPaperPMID 42533375Full record

ArticleEndocrinology, diabetes & metabolism2026

Anti-Müllerian Hormone and Metabolic-Hormonal Profiles in Women With and Without Polycystic Ovary Syndrome: A Population-Based Study.

Fahimeh Ramezani Tehrani, Maryam Mousavi, Marzieh Saei Ghare Naz, Maryam Farahmand, Masoumeh Jorjani, Fatemeh Mahboobifard

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Article in Endocrinology, diabetes & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Fahimeh Ramezani TehraniReproductive Endocrinology Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-4609-065X
Maryam MousaviReproductive Endocrinology Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-3946-2507
Marzieh Saei Ghare NazReproductive Endocrinology Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-1259-2459
Maryam FarahmandReproductive Endocrinology Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-1748-5687
Masoumeh JorjaniDepartment of Pharmacology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-4790-4747
Fatemeh MahboobifardReproductive Endocrinology Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-0259-0994

Funding

Research Department of the School of Medicine, Shahid Beheshti University of Medical Sciences 43005456
6 · The paper itself

Abstract

introductionEvidence regarding age-related variation in anti-Müllerian hormone (AMH) and its associations with hormonal and metabolic parameters in women with polycystic ovary syndrome (PCOS), healthy women, and those with isolated PCOS features remains inconsistent. This study aimed to address these gaps using a cross-sectional, population-based approach.

methodsA total of 883 women aged 18-45 years were categorized into three groups: PCOS (n = 124; Rotterdam criteria), suspicious (one PCOS criterion, n = 274), and healthy controls (n = 485). The coefficient of determination (R

resultsAge explained nearly 40% of AMH variation in healthy women, but only 20% in those with PCOS. AMH was inversely correlated with BMI in healthy and suspicious groups, but not in PCOS. Among healthy women aged ≥ 35 years, higher AMH was associated with a 37% reduced likelihood of T2DM (OR: 0.63, 95% CI: 0.41-0.97). In contrast, among women with PCOS aged < 35 years, elevated AMH was associated with 2.6-fold higher odds of MetS (OR: 2.6, 95% CI: 1.20-6.20). In the suspicious group, AMH correlated positively with free androgen index and prolactin.

conclusionAMH declines less with age in women with PCOS than in healthy women. Higher AMH may be protective against T2DM in older healthy women but indicates elevated metabolic risk in younger women with PCOS, suggesting that AMH may serve as a life-course biomarker for metabolic risk stratification and personalized preventive strategies in women's healthcare.

Indexed as

Anti-Mullerian HormonePolycystic Ovary SyndromeAdolescentAdultAge FactorsBiomarkersBody Mass IndexCase-Control StudiesCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansHypertensionMetabolic SyndromeMiddle AgedYoung AdultAnti-Mullerian HormoneBiomarkersAnti‐Müllerian hormoneMetabolic profilePolycystic ovary syndrome

Identifiers

PMID42533375
PMCPMC13425589

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