{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T20:49:08Z","timestamp":1788468548149,"version":"build-2803163510"},"reference-count":61,"publisher":"Institution of Engineering and Technology (IET)","issue":"1","license":[{"start":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T00:00:00Z","timestamp":1759622400000},"content-version":"vor","delay-in-days":277,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62302066"],"award-info":[{"award-number":["62302066"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018542","name":"Natural Science Foundation of Sichuan Province","doi-asserted-by":"publisher","award":["2024NSFSC1295"],"award-info":[{"award-number":["2024NSFSC1295"]}],"id":[{"id":"10.13039\/501100018542","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["ietresearch.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["IET Systems Biology"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Polycystic ovary syndrome (PCOS) is a prevalent endocrine and metabolic disorder characterised by heterogeneous clinical and molecular phenotypes. Flaxseed, widely used in traditional Chinese medicine and as a nutritional supplement, has shown promising therapeutic potential for PCOS. In this study, we integrated transcriptomic data with machine learning\u2010based analytical approaches and network pharmacology to investigate the molecular mechanisms underlying PCOS and to identify the potential targets and pathways modulated by flaxseed. Differentially expressed genes (DEGs) and PCOS\u2010related targets were systematically identified from GEO, GeneCards and DisGeNet databases. Bioactive compounds in flaxseed were predicted using TCMSP, SwissTargetPrediction and INPUT2.0. Functional and pathway enrichment analyses were conducted to explore mechanistic insights. Core targets were prioritised using Centiscape network topology parameters and LASSO regression, followed by molecular docking validation using AutoDock. Our results revealed that flaxseed's therapeutic action may primarily involve modulation of immune regulation, insulin signalling, apoptosis and inflammation pathways. Key active compounds, notably\n                    <jats:italic>\u03b2<\/jats:italic>\n                    \u2010sitosterol and stigmasterol, exhibited strong binding affinities with critical targets, such as IL1B, GSK3B and HMGCR, suggesting potential anti\u2010inflammatory and antioxidant effects. The findings provide a theoretical foundation for future experimental studies and support the development of flaxseed\u2010based therapeutic strategies for PCOS through precision medicine frameworks.\n                  <\/jats:p>","DOI":"10.1049\/syb2.70034","type":"journal-article","created":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T03:25:23Z","timestamp":1759721123000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Deciphering the Molecular Mechanisms of Polycystic Ovary Syndrome and Flaxseed Therapy Through Transcriptomics and Machine Learning"],"prefix":"10.1049","volume":"19","author":[{"given":"Siyu","family":"Tian","sequence":"first","affiliation":[{"name":"Hospital of Chengdu University of Traditional Chinese Medicine School of Clinical Medicine Chengdu University of Traditional Chinese Medicine  Chengdu 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