Machine Learning-Based Steroid Metabolome Analysis in Women With Polycystic Ovary Syndrome Reveals Three Distinct Androgen Excess Subtypes With Different Metabolic Risk Profiles

    October 2023 in “ Journal of the Endocrine Society ”
    Thaís Rocha, Eka Melson, Roland J. Veen, Lida Abdi, Tara McDonnell, Veronika Tandl, James Hawley, Laura B. L. Wittemans, Amarah Anthony, Lorna Gilligan, Fozia Shaheen, Punith Kempegowda, Caroline D. T. Gillett, Leanne Cussen, Cornelia Missbrenner, Fannie Lajeunesse-Trempe, Helena Gleeson, Aled Rees, Lauren Robinson, Channa Jayasenna, Harpal S. Randeva, Harpal S. Randeva, Georgios K. Dimitriadis, Larissa Gomes, Alice Sitch, Eleni Vradi, Angela E. Taylor, Michael O’Reilly, Barbara Obermayer‐Pietsch, Michael Biehl, Wiebke Arlt
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    Studysummary In this study, distinct androgen excess subtypes were identified in women with PCOS, with the adrenal androgen excess cluster showing significantly higher rates of insulin resistance and type 2 diabetes, suggesting 11-oxygenated androgens as potential drivers of metabolic risk.
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