{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T21:33:38Z","timestamp":1784756018729,"version":"3.55.0"},"reference-count":36,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T00:00:00Z","timestamp":1762819200000},"content-version":"vor","delay-in-days":10,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82372322"],"award-info":[{"award-number":["82372322"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J of Rheum Dis"],"published-print":{"date-parts":[[2025,11]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Long non\u2010coding RNAs (lncRNAs) are emerging as critical epigenetic regulators within the gene\u2013environment interaction networks and have been implicated in the progression of rheumatoid arthritis (RA). In the present study, we employed high\u2010throughput RNA sequencing to elucidate the differential expression profiles of lncRNAs in peripheral blood mononuclear cells (PBMCs) from a discovery cohort (3 RA patients vs. 3 healthy controls). Following comprehensive sequencing analysis, 8 lncRNAs were identified as potential biomarkers for RA. Through reverse transcription quantitative polymerase chain reaction (RT\u2010qPCR) validation, we confirmed that\n                    <jats:italic>LINC01881<\/jats:italic>\n                    (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.01) and\n                    <jats:italic>MIR3142HG<\/jats:italic>\n                    (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.01) exhibited expression patterns consistent with our sequencing results. Both showed moderate diagnostic performance (AUC\u2009=\u20090.713 and 0.723, respectively), and their combination improved diagnostic efficacy (AUC\u2009=\u20090.786).\n                    <jats:italic>LINC01881<\/jats:italic>\n                    expression was negatively correlated with CRP and ESR, while\n                    <jats:italic>MIR3142HG<\/jats:italic>\n                    correlated positively with platelet count. Bioinformatic analysis suggested that\n                    <jats:italic>LINC01881<\/jats:italic>\n                    may influence the PI3K\u2010Akt pathway through interactions with PTEN\u2010targeting miRNAs, and\n                    <jats:italic>MIR3142HG<\/jats:italic>\n                    may be involved in hematopoietic and platelet\u2010related processes. In summary,\n                    <jats:italic>MIR3142HG<\/jats:italic>\n                    and\n                    <jats:italic>LINC01881<\/jats:italic>\n                    are potential diagnostic biomarkers for RA.\n                    <jats:italic>LINC01881<\/jats:italic>\n                    may act as a compensatory regulator of inflammation via PI3K\u2010Akt signaling, while MIR3142HG may influence platelet biology. Further functional studies are warranted to confirm these mechanisms and explore their clinical utility in multi\u2010marker diagnostic panels.\n                  <\/jats:p>","DOI":"10.1111\/1756-185x.70451","type":"journal-article","created":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T10:20:51Z","timestamp":1762856451000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Revealing Long Noncoding RNAs as Potential Biomarkers for Rheumatoid Arthritis Through High\u2010Throughput Sequencing and Differential PBMC Expression Analysis"],"prefix":"10.1111","volume":"28","author":[{"given":"Chen","family":"Peng","sequence":"first","affiliation":[{"name":"Department of Laboratory Medicine West China Tianfu Hospital of Sichuan University  Chengdu China"},{"name":"Department of Laboratory Medicine West China Hospital of Sichuan University  Chengdu China"},{"name":"Clinical Laboratory Medicine Research Center West 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