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REVIEW article

Front. Genet.

Sec. Computational Genomics

This article is part of the Research TopicComputational Approaches Integrate Multi-Omics Data for Disease Diagnosis and TreatmentView all 10 articles

Bioinformatics identification of key genes and therapeutic targets for exercise intervention in polycystic ovary syndrome

Provisionally accepted
  • 1West China Hospital, Sichuan University, Chengdu, China
  • 2Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai, China
  • 3Shanghai Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
  • 4Sichuan Orthopaedic Hospital, Sichuan, China
  • 5Sichuan University West China Second University Hospital, Chengdu, China

The final, formatted version of the article will be published soon.

Background and Purpose: We aimed to explore the mechanisms and pathways of exercise-based interventions in the treatment of polycystic ovarian syndrome (PCOS). Methods: In this literature review, studies related to exercise therapy for PCOS that were published in the past 20 years were searched, potentially effective active ingredients were screened, and gene prediction of active ingredients and diseases was conducted using the compound and GeneCards databases, respectively, to identify potential targets of exercised-related bioactive molecules in PCOS. Finally, hub genes and signaling pathways were predicted using bioinformatic methods. Results: The review identified eight potential effective components were screened out, including irisin, 5α-reductase, kisspeptin, cocaine-and amphetamine-regulated transcript, nerve growth factor, nerve peptide Y, insulin-like growth factor-1, and interleukin-6. A total of 192 target genes for exercise-related components and PCOS were identified, including the hub genes TNF, IL6, IL1B, JUN, CCND1, and PSMA7. Conclusion: The hub genes identified in this review indicate that exercise therapy in PCOS may affect the protease system, renin–angiotensin system, inflammatory signal transduction, neuroactive ligand–receptor interaction, and other pathways through the G protein-coupled receptor signaling pathway, neuropeptide signaling pathway, endocrine process, and other biological processes and regulate apoptosis, cell cycle, and intercellular communication.

Keywords: Polycystic Ovary Syndrome, Exercise, bioinformatics, Mechanism, target

Received: 24 May 2025; Accepted: 03 Nov 2025.

Copyright: © 2025 Yang, Yang, Shen, Zhang and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Chan Zhu, fjczhuchan@163.com

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