{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T14:35:47Z","timestamp":1786977347740,"version":"build-2736575974"},"reference-count":42,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T00:00:00Z","timestamp":1735171200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cell Biochemistry &amp;amp; Function"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Rheumatoid arthritis\u2010associated interstitial lung disease (RA\u2010ILD) is an increasingly recognized extra\u2010articular manifestations (EAMs) in the RA, with highly morbidity and mortality. The identification of key molecules involved in RA\u2010ILD has a high requirement in clinic, and the role of their transcriptional regulation in the etiology of RA\u2010ILD is great significant for investigation. In this study, we collected the whole peripheral blood samples of RA\u2010ILD and RA only patients to bulk RNA\u2010sequence. Differential gene expression analysis was employed to identify key genes, common pathways, and potential drug targets for RA\u2010ILD. Furthermore, RT\u2010qPCR was conducted to verify potential biomarkers in RA\u2010ILD. Four hundred seventy\u2010eight differentially expressed genes (DEGs) were identified that related to chromatin\u2010modifying enzymes. A robust correlation with immune and inflammation biological processes and pathways was indicated through enrichment analyses of these shared DEGs, like B cell receptor signaling pathway, complement activation, NF\u2010kappa B signaling pathway. Protein\u2013protein interaction network analysis further emphasized the significance of 12 hub genes, including CHD4, MUS81, CXCL8, NSUN6, RAD9A, CCL4, B3GAT1, KAT2A, TBX21, HDAC2, ERBB2, and ITGAL. Notably, NSUN6 expression was statistically significant in RA\u2010ILD by the machine learning LASSO regression analysis and RT\u2010qPCR. Our study provides novel insights into the molecular mechanisms of RA\u2010ILD, identifies potential biomarkers, and lays the groundwork for future therapeutic strategies.<\/jats:p>","DOI":"10.1002\/cbf.70033","type":"journal-article","created":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T07:51:05Z","timestamp":1735199465000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Identification of Potential Genes in Rheumatoid Arthritis\u2010Associated Interstitial Lung Disease Using RNA\u2010seq and In Vitro Analyses"],"prefix":"10.1002","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6555-5961","authenticated-orcid":false,"given":"Liu\u2010yan","family":"Nie","sequence":"first","affiliation":[{"name":"Department of Rheumatology Sir Run Run Shaw Hospital, Zhejiang University School of Medicine Hangzhou 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