{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T20:33:44Z","timestamp":1771706024717,"version":"3.50.1"},"reference-count":36,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2018,9,5]],"date-time":"2018-09-05T00:00:00Z","timestamp":1536105600000},"content-version":"vor","delay-in-days":4,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81302392"],"award-info":[{"award-number":["81302392"]}],"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":[[2018,9]]},"abstract":"Abstract<\/jats:title>Aims<\/jats:title>To understand the pathogenesis of cartilage damage in Kashin\u2013Beck disease (KBD<\/jats:styled-content>) and rheumatoid arthritis (RA<\/jats:styled-content>) which similar clinical symptoms.<\/jats:p><\/jats:sec>Methods<\/jats:title>RNA<\/jats:styled-content> sequencing (RAN<\/jats:styled-content>\u2010seq) analysis was used to reveal the different pathogeneses between KBD<\/jats:styled-content> and RA<\/jats:styled-content>. The messenger RNA<\/jats:styled-content> expression profiles of articular cartilage isolated from KBD<\/jats:styled-content> patients (n\u00a0=\u00a03) and RA<\/jats:styled-content> patients (n\u00a0=\u00a03) were compared using RNA<\/jats:styled-content>\u2010seq analysis. Differentially expressed genes (DEG<\/jats:styled-content>s) were determined using the Benjamini\u2013Hochberg approach. The Database for Annotation, Visualization and Integrated Discovery (DAVID<\/jats:styled-content> 6.7) was employed to assess functional categories and Gene Ontology (GO<\/jats:styled-content>). The Kyoto Encyclopedia of Genes and Genomes (KEGG<\/jats:styled-content>) Orthology Based Annotation System (KOBAS<\/jats:styled-content> 2.0) was used to identify significantly enriched KEGG<\/jats:styled-content> pathways.<\/jats:p><\/jats:sec>Results<\/jats:title>In the individually sequenced dataset, we identified 1568 significant DEG<\/jats:styled-content>s in KBD<\/jats:styled-content> compared to RA<\/jats:styled-content> (232 up\u2010regulated genes and 1336 down\u2010regulated genes). GO<\/jats:styled-content> function analysis identified nine significant biological processes (BP<\/jats:styled-content>s), eight molecular functions (MF<\/jats:styled-content>s), and five cell components (CC<\/jats:styled-content>s) in KBD<\/jats:styled-content>, and also the top ten ranked significant BP<\/jats:styled-content>s, MF<\/jats:styled-content>s and CC<\/jats:styled-content>s were found in RA<\/jats:styled-content>. The KEGG<\/jats:styled-content> pathway enrichment analysis identified biosynthesis of amino acids involved in KBD<\/jats:styled-content>. The chemokine signaling pathway, nuclear factor\u2010kappa B signaling pathway, B cell receptor signaling pathway, leukocyte transendothelial migration, and osteoclast differentiation were involved in RA<\/jats:styled-content>.<\/jats:p><\/jats:sec>Conclusions<\/jats:title>RNA<\/jats:styled-content>\u2010seq revealed that proteoglycan\u2010mediated metabolic disorders contributed to the onset of KBD<\/jats:styled-content>, whereas immune dysregulation was apparently involved in the pathogenesis of RA<\/jats:styled-content>.<\/jats:p><\/jats:sec>","DOI":"10.1111\/1756-185x.13358","type":"journal-article","created":{"date-parts":[[2018,9,6]],"date-time":"2018-09-06T05:19:23Z","timestamp":1536211163000},"page":"1686-1694","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["RNA<\/scp>\u2010seq analysis reveals different gene ontologies and pathways in rheumatoid arthritis and Kashin\u2013Beck 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