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ea0094oc4.1 | Reproductive Endocrinology | SFEBES2023

Unsupervised steroid metabolome cluster analysis to dissect androgen excess and metabolic dysfunction in 488 women with polycystic ovary syndrome – results from the prospective DAISy-PCOS study

Melson Eka , Rocha Thais P. , Veen Roland J. , Abdi Lida , McDonnell Tara , Tandl Veronika , Hawley James M. , Wittemans Laura B. L. , Anthony Amarah V. , Gilligan Lorna C. , Shaheen Fozia , Kempegowda Punith , Gillett Caroline D.T. , Cussen Leanne , Missbrenner Cornelia , Lajeunesse-Trempe Fannie , Gleeson Helena , Rees Aled , Robinson Lynne , Jayasena Channa , Randeva Harpal S. , Dimitriadis Georgios K. , Gomes Larissa G. , J. Sitch Alice , Vradi Eleni , Obermayer-Pietsch Barbara , O'Reilly Michael W. , Taylor Angela E. , Biehl Michael , Arlt Wiebke

Introduction: Polycystic ovary syndrome (PCOS) affects 10% of women and is associated with a 2-3fold risk of type 2 diabetes (T2D), hypertension, fatty liver and cardiovascular disease. Androgen excess has been implicated as a major contributor to metabolic risk in PCOS. We aimed to identify PCOS sub-types with distinct androgen profiles and compare their cardiometabolic risk.Methods: We cross-sectionally studied 488 tre...

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Endocrine Abstracts

Unsupervised steroid metabolome cluster analysis to dissect androgen excess and metabolic dysfunction in 488 women with polycystic ovary syndrome – results from the prospective DAISy-PCOS study

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