{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T14:09:28Z","timestamp":1790690968500,"version":"4.1.0"},"reference-count":94,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T00:00:00Z","timestamp":1789689600000},"content-version":"vor","delay-in-days":17,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["32522043"],"award-info":[{"award-number":["32522043"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal Orthopaedic Research"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Rotator cuff disease is a common musculoskeletal disorder of the shoulder that causes pain and functional disability. Despite its high prevalence and substantial clinical burden, clinically validated biomarkers for diagnosis, disease monitoring, treatment management, and outcome prediction remain lacking. High\u2010throughput omics approaches provide powerful tools for systematically identifying candidate biomarkers by comprehensively characterizing disease\u2010associated molecular alterations. This systematic review evaluates recent advances in multi\u2010omics approaches for biomarker identification in rotator cuff disease, with a particular emphasis on integrating findings across genomics, epigenomics, transcriptomics, and proteomics and metabolomics to facilitate biomarker discovery and clinical translation. A total of 46 studies were included in this review. Together, multi\u2010omics evidence identified recurrent candidate biomarkers, particularly\n                    <jats:italic>MMP3<\/jats:italic>\n                    ,\n                    <jats:italic>MFAP5<\/jats:italic>\n                    ,\n                    <jats:italic>IL6<\/jats:italic>\n                    , and\n                    <jats:italic>BMP5<\/jats:italic>\n                    , that converged on extracellular matrix remodeling, inflammatory and immune regulation, tissue repair and fibrosis, metabolic reprogramming, mitochondrial dysfunction, and tissue\u2010specific remodeling. Integrated analyses further prioritized recurrent candidate biomarkers supported across multiple omics layers, primarily involved in matrix remodeling, inflammation, immune regulation, angiogenesis, and tissue repair, providing potential targets for diagnosis, prognosis, and therapeutic intervention. Future studies incorporating larger prospective cohorts, standardized analytical pipelines, same\u2010cohort multi\u2010omics integration, and functional validation will be essential for translating these candidate biomarkers into clinically useful tools for early diagnosis, disease monitoring, outcome prediction, and personalized treatment.\n                  <\/jats:p>","DOI":"10.1002\/jor.70275","type":"journal-article","created":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T03:26:52Z","timestamp":1789788412000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Advances in Multi\u2010Omics Approaches for Biomarker Identification in Human Rotator Cuff Disease: A Systematic Review"],"prefix":"10.1002","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-6890-4161","authenticated-orcid":false,"given":"Xing","family":"Li","sequence":"first","affiliation":[{"name":"School of Medicine South China 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