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Oxidative stress (OS) is central to RSV\u2010associated immune disorders and tissue damage. GEO datasets (GSE105450, GSE77087) were used to screen differentially expressed genes (DEGs); OS\u2010related DEGs were identified via WGCNA. Four machine learning algorithms screened core diagnostic genes, with in vitro validation (A549\/BEAS\u20102B cells) by qRT\u2010PCR, shRNA\u2010ID3 silencing, immunofluorescence and ELISA. ID3, MATK and ZMAT3 were potential diagnostic biomarkers (training AUC = 0.859, validation AUC = 0.725), upregulated in RSV\u2010infected samples, correlated with immune cell infiltration, and involved in AKT\/ERBB pathways. RSV upregulated ID3; ID3 knockdown promoted RSV replication and exacerbated OS. ID3, MATK and ZMAT3 are potential RSV diagnostic biomarkers; ID3 exerts host protection by regulating OS and inhibiting RSV replication, providing new targets for early diagnosis and intervention.<\/jats:p>","DOI":"10.1002\/adbi.70142","type":"journal-article","created":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T09:01:29Z","timestamp":1784970089000},"source":"Crossref","is-referenced-by-count":0,"title":["Diagnostic Value of Oxidative Stress\u2010Related Features Mined by WGCNA and Machine Learning in Respiratory Syncytial Virus Infection"],"prefix":"10.1002","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-2619-0238","authenticated-orcid":false,"given":"Ying","family":"Lei","sequence":"first","affiliation":[{"name":"Department of Pulmonary and Critical Care Medicine The Quzhou Affiliate Hospital of Wenzhou Medical University Quzhou People's Hospital  Quzhou City Zhejiang Province 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