Data-driven subtypes of polycystic ovary syndrome and their association with clinical outcomes

  • China Women’s Reproductive Metabolic Network

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Polycystic ovary syndrome (PCOS) is a common and heterogeneous endocrine disorder that affects 11%–13% of women worldwide, with profound implications for fertility and long-term metabolic health. Here we identify four reproducible subtypes—PCOS with hyperandrogen, with obesity, with high-sex hormone-binding globulin and with high-luteinizing hormone–anti-Müllerian hormone—through unsupervised clustering of 9 clinical variables in 11,908 affected women, validated across 5 international cohorts. Prospective 6.5-year follow-up and in vitro fertilization treatment data revealed distinct reproductive and metabolic trajectories: hyperandrogenic PCOS showed the highest risk of second trimester pregnancy loss and dyslipidemia incidence; PCOS with obesity exhibited the most severe metabolic complications, lowest live birth rates and highest PCOS remission rate; PCOS with high-sex hormone-binding globulin demonstrated favorable reproductive outcomes and the lowest incidence of diabetes and hypertension; and PCOS with high-luteinizing hormone–anti-Müllerian hormone had the greatest risk of ovarian hyperstimulation and the lowest PCOS remission rate. These findings advance understanding of PCOS heterogeneity and provide a framework for subtype-based risk stratification and personalized management.

Original languageEnglish (US)
Pages (from-to)4214-4224
Number of pages11
JournalNature Medicine
Volume31
Issue number12
DOIs
StatePublished - Dec 2025

All Science Journal Classification (ASJC) codes

  • General Medicine
  • General Biochemistry, Genetics and Molecular Biology

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