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<p>Polycystic ovarian syndrome (PCOS) is a multifactorial endocrine disorder that affects women of reproductive age. Aberrant dysregulation of gene expression and signaling pathways have been implicated in the pathogenesis of PCOS. Hence, identifying potential lncRNAs and their pathological significance in PCOS could pave the way for precise targeted treatments. In this study, we conducted a comprehensive analysis of the mRNA-miRNA-lncRNA regulatory networks using GEO datasets from PCOS patients and healthy controls. RNA transcript cohorts (GSE65746, GSE72274 and GSE155489) were used to analyze differentially expressed mRNA, miRNA and lncRNA in the PCOS. This analysis identified 9 lncRNAs, 24 miRNA and 400 mRNAs that were differentially expressed in PCOS condition. In addition, Gene set enrichment analysis showed that these differentially expressed genes were mainly involved in endocrine processes including circadian regulation, thyroid hormone signaling and steroid hormone biosynthesis. Further analysis revealed two lncRNAs, LINC02381 and LINC01416 to be significantly dysregulated in PCOS patients compared to healthy controls whose regulation was mainly involved in the ovarian steroidogenesis and follicular development. In conclusion, our study provides novel insights into the dysregulated lncRNA-miRNA-mRNA regulatory network in PCOS, identifying LINC02381 and LINC01416 as potential biomarkers in the cumulus cells of PCOS women. These findings would contribute to the development of new diagnostic and therapeutic strategies to alleviate PCOS pathogenesis.</p>

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Regulatory network analysis of the cumulus cells reveals LINC02381 and LINC01416 as potential therapeutic targets of polycystic ovarian syndrome

  • 期刊论文

  • 发表日期：

    2025年8月8日

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  • Sinduja Gunasekaran,
  • Sivasubramaniam Shanthi Priya,
  • Hemamalini Vedagiri

摘要

Polycystic ovarian syndrome (PCOS) is a multifactorial endocrine disorder that affects women of reproductive age. Aberrant dysregulation of gene expression and signaling pathways have been implicated in the pathogenesis of PCOS. Hence, identifying potential lncRNAs and their pathological significance in PCOS could pave the way for precise targeted treatments. In this study, we conducted a comprehensive analysis of the mRNA-miRNA-lncRNA regulatory networks using GEO datasets from PCOS patients and healthy controls. RNA transcript cohorts (GSE65746, GSE72274 and GSE155489) were used to analyze differentially expressed mRNA, miRNA and lncRNA in the PCOS. This analysis identified 9 lncRNAs, 24 miRNA and 400 mRNAs that were differentially expressed in PCOS condition. In addition, Gene set enrichment analysis showed that these differentially expressed genes were mainly involved in endocrine processes including circadian regulation, thyroid hormone signaling and steroid hormone biosynthesis. Further analysis revealed two lncRNAs, LINC02381 and LINC01416 to be significantly dysregulated in PCOS patients compared to healthy controls whose regulation was mainly involved in the ovarian steroidogenesis and follicular development. In conclusion, our study provides novel insights into the dysregulated lncRNA-miRNA-mRNA regulatory network in PCOS, identifying LINC02381 and LINC01416 as potential biomarkers in the cumulus cells of PCOS women. These findings would contribute to the development of new diagnostic and therapeutic strategies to alleviate PCOS pathogenesis.