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PATHOGENETIC INTERRELATIONSHIP BETWEEN INSULIN RESISTANCE AND HYPERANDROGENISM IN POLYCYSTIC OVARY SYNDROME: MOLECULAR MECHANISMS, CLINICAL EVIDENCE, REAL-WORLD DATA, AND TRANSLATIONAL OPPORTUNITIES
SIAD SYNAPSES: INSIGHTS ACROSS THE DISCIPLINES
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Keywords

polycystic ovary syndrome; insulin resistance; hyperinsulinemia; hyperandrogenism; ovarian theca cells; sex hormone-binding globulin; adipose dysfunction; real-world evidence; causal inference; machine learning; precision medicine; pharmacovigilance.

How to Cite

PATHOGENETIC INTERRELATIONSHIP BETWEEN INSULIN RESISTANCE AND HYPERANDROGENISM IN POLYCYSTIC OVARY SYNDROME: MOLECULAR MECHANISMS, CLINICAL EVIDENCE, REAL-WORLD DATA, AND TRANSLATIONAL OPPORTUNITIES. (2026). SYNAPSES: INSIGHTS ACROSS THE DISCIPLINES, 3(10), 130-158. https://universalpublishings.com/index.php/siad/article/view/21051

Abstract

Polycystic  ovary  syndrome  (PCOS)  is  a  heterogeneous  reproductive– metabolic  disorder  in  which  insulin  resistance,  hyperinsulinemia,  androgen  excess,  altered  adipose  biology  and  ovarian  dysfunction  interact  rather  than  operate  as  independent  abnormalities.  Objective:  To  critically  synthesize  the  mechanistic  bidirectionality  of  insulin  resistance  and  hyperandrogenism  and  examine  how  randomized trials, real-world evidence and computational methods may refine disease  stratification  and  treatment  evaluation.  Methods:  A  structured,  non -systematic  evidence synthesis prioritized the 2023 International Evidence-based PCOS Guideline,  indexed  mechanistic  reviews,  randomized-trial  syntheses  and  regulatory  documents  concerning real-world evidence and artificial intelligence. 

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References

1. Teede HJ, Tay CT, Laven JJE, et al. Recommendations From the 2023 International

Evidence-based Guideline for the Assessment and Management of Polycystic Ovary

Syndrome. J Clin Endocrinol Metab. 2023;108(10):2447-2469. doi:10.1210/clinem/dgad463.

2. Teede HJ, Tay CT, Laven JJE, et al. Recommendations from the 2023 International vidence-based Guideline for the Assessment and Management of Polycystic Ovary Syndrome. Hum Reprod. 2023;38(9):1655-1679. doi:10.1093/humrep/dead156. [Parallel publication of reference 1; not independent evidence.]

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