{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T09:29:02Z","timestamp":1770110942024,"version":"3.49.0"},"reference-count":0,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T00:00:00Z","timestamp":1769817600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Polycystic ovary syndrome (PCOS) and ischemic cardiomyopathy (ICM) share metabolic and cardiovascular risk factors, including insulin resistance and chronic inflammation, but the molecular links remain unclear.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To identify shared diagnostic biomarkers between PCOS and ICM and clarify their biological basis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Transcriptomic datasets from multiple PCOS and ICM GEO cohorts were integrated. Differential expression analysis, WGCNA, and 105 machine-learning model combinations were applied to identify robust cross-disease biomarkers. The top-performing Elastic Net (Enet) model was used to screen candidate genes. Immune infiltration, single-cell RNA sequencing (scRNA-seq), and spatial transcriptomics defined cell-type specificity and tissue localization. Drug\u2013target interactions were explored by molecular docking.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Eleven candidate genes were identified, and COL14A1 was the only gene consistently validated across all independent datasets. scRNA-seq identified COL14A1 enrichment in TPM2+ activated fibroblasts, and cell\u2013cell communication analysis highlighted a macrophage\u2013fibroblast crosstalk axis. Spatial transcriptomics confirmed that COL14A1 is tightly linked to fibroblast activation, supporting its role as a mediator of immune\u2013fibrotic responses during postischemic cardiac remodelling. Molecular docking revealed that rofecoxib is a high-affinity potential therapeutic agent targeting COL14A1.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>COL14A1 may represent a shared molecular link between PCOS and increased susceptibility to ischemic cardiac injury, potentially acting through macrophage-associated immune activation and fibroblast-mediated ECM remodelling. Rofecoxib may serve as a potential repurposed therapeutic candidate pending further validation. These findings provide mechanistic insights into the ovario\u2013cardiac axis and highlight COL14A1 as a promising target for future risk stratification and intervention studies in women with PCOS.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/qjmed\/hcag033","type":"journal-article","created":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T23:52:15Z","timestamp":1769903535000},"source":"Crossref","is-referenced-by-count":0,"title":["COL14A1 drives ischemic cardiac injury in PCOS: an artificial intelligence-identified biomarker"],"prefix":"10.1093","author":[{"given":"Jixiang","family":"Pei","sequence":"first","affiliation":[{"name":"The Affiliated Hospital of Qingdao University Department of Cardiology, , Qingdao, Shandong,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Huang","sequence":"additional","affiliation":[{"name":"The Affiliated Hospital of Qingdao University Department of Cardiology, , Qingdao, Shandong,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cuicui","family":"Liang","sequence":"additional","affiliation":[{"name":"Qingdao Municipal Health Commission Hospital Development Center , Qingdao, Shandong,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luxin","family":"Feng","sequence":"additional","affiliation":[{"name":"People\u2019s Hospital of Huangdao District Department of Cardiology, , Qingdao, Shandong Province,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Xuan","sequence":"additional","affiliation":[{"name":"The Affiliated Hospital of Qingdao University, Qingdao University Department of Clinical Laboratory, , Qingdao,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongwei","family":"Ji","sequence":"additional","affiliation":[{"name":"Tsinghua University Tsinghua Medicine, , Beijing,","place":["China"]},{"name":"Chinese patient-oriented metabolic and ischemic risk evaluation (CREAT) study , Qingdao, Shandong,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kuo","family":"Wang","sequence":"additional","affiliation":[{"name":"The Affiliated Hospital of Qingdao University Department of Cardiology, , Qingdao, Shandong,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u03a7ueying","family":"Wang","sequence":"additional","affiliation":[{"name":"The Affiliated Hospital of Qingdao University Department of Cardiology, , Qingdao, Shandong,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhexun","family":"Lian","sequence":"additional","affiliation":[{"name":"The Affiliated Hospital of Qingdao University Department of Cardiology, , Qingdao, Shandong,","place":["China"]},{"name":"Qingdao Municipal Hub Laboratory of Hypertension (Hub Laboratory of Cardiovascular Medicine) , Qingdao, Shandong,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junjie","family":"Guo","sequence":"additional","affiliation":[{"name":"The Affiliated Hospital of Qingdao University Department of Cardiology, , Qingdao, Shandong,","place":["China"]},{"name":"Chinese patient-oriented metabolic and ischemic risk evaluation (CREAT) study , Qingdao, Shandong,","place":["China"]},{"name":"Qingdao Municipal Hub Laboratory of Hypertension (Hub Laboratory of Cardiovascular Medicine) , Qingdao, Shandong,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2026,1,31]]},"container-title":["QJM: An International Journal of Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/qjmed\/advance-article-pdf\/doi\/10.1093\/qjmed\/hcag033\/66678215\/hcag033.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/qjmed\/advance-article-pdf\/doi\/10.1093\/qjmed\/hcag033\/66678215\/hcag033.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T23:52:16Z","timestamp":1769903536000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/qjmed\/advance-article\/doi\/10.1093\/qjmed\/hcag033\/8450317"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,31]]},"references-count":0,"URL":"https:\/\/doi.org\/10.1093\/qjmed\/hcag033","relation":{},"ISSN":["1460-2725","1460-2393"],"issn-type":[{"value":"1460-2725","type":"print"},{"value":"1460-2393","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,31]]},"article-number":"hcag033"}}