Sign in
BioinformaticsbioRxiv
Preprint

A Systems-Level Transcriptomic Analysis of Polycystic Ovary Syndrome as a Mitochondrial-Immunometabolic Disorder

Ritika PatialiD, Sonalika RayiD, Kashmir Singh, R.C. Sobti

Abstract

Polycystic Ovary Syndrome (PCOS) is known as an endocrine and metabolic disorder; however, emerging molecular evidence suggests a far more complex systems-level pathology. In this study, we performed an integrative transcriptomic and pathway-level analysis of endometrial tissue from women with PCOS to gain a deeper understanding of the underlying mechanism facilitating the disorder. The findings of the study highlighted mitochondrial dysfunction, chronic oxidative stress, and multi-layered immune dysregulation, adding some new insight apart from classical hyperandrogenism and insulin resistance. We identified some novel gene disease associations which involve C15orf48, ODF3B PRR15-DT, LINC01176, and LOC105379193. The upstream regulators such as (NFE2L2, TWNK, ALKBH1, BCOR, SMARCA4) involved in processes including mitochondrial genome, redox balance, and chromatin remodeling provided new insights into regulatory mechanisms. The IPA pathway analysis validated the compromised immune recovery with low grade inflammations and mitochondrial dysfunctionality. The observations emphasize on complex associations discarding its PCOS pure endocrine nature through immunometabolic-mitochondrial dysfunctionalities.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISMoosa '22Patel '26Wiggins '25Sparovec '26Li '21Shi '23
70% semantic matchGenetic & Genomic Medicine
Almira Moosa, Meeladah Ghani, Helen C. O’Neill·Journal of Clinical Pathology·Sep 16, 2022· 16 citations