{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T12:55:59Z","timestamp":1782132959658,"version":"3.54.5"},"reference-count":50,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T00:00:00Z","timestamp":1716163200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Med."],"abstract":"<jats:sec><jats:title>Objective<\/jats:title><jats:p>Systemic lupus erythematosus (SLE) is a disease characterised by immune inflammation and damage to multiple organs. Recent investigations have linked competing endogenous RNAs (ceRNAs) to lupus. However, the exact mechanism through which the ceRNAs network affects SLE is still unclear. This study aims to investigate the regulatory functions of the ceRNAs network, which are important pathways that control the pathophysiological processes of SLE.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>CircRNA microarray for our tested assays were derived from bone marrow samples from three healthy individuals and three SLE patients in our hospital. The other sequencing data of circRNA, miRNA and mRNA were obtained from Gene Expression Omnibus (GEO) datasets. Using the limma package of R program, the differential expression of mRNA and miRNA in the GEO database was discovered. Then predicted miRNA-mRNA and circRNA-miRNA were established using miRMap, miRanda, miRDB, TargetScan, and miTarBase. CircRNA-miRNA-mRNA ceRNA network was constructed using Cytoscape, and hub genes were screened using a protein-protein interaction network. Immune infiltration analysis of the hub gene was also performed by CIBERSORT and GSEA.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>230 overlapped circRNAs, 86 DEmiRNAs and 2083 DEmRNAs were identified in SLE patients as compared to healthy controls. We constructed a circRNA\u2013miRNA\u2013mRNA ceRNAs network contained 11 overlapped circRNAs, 9 miRNAs and 51 mRNAs. ESR1 and SIRT1 were the most frequently associated protein-protein interactions in the PPI network. KEGG analysis showed that DEGs was enriched in FoxO signaling pathway as well as lipids and atherosclerosis. We constructed a novel circRNA-miRNA-mRNA ceRNA network (HSA circ 0000345- HSA miR-22-3-P-ESR1\/SIRT1) that may have a major impact on SLE.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Through this bioinformatics and integrated analysis, we suggest a regulatory role for ceRNA network in the pathogenesis and treatment of SLE.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fmed.2024.1383186","type":"journal-article","created":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T04:29:16Z","timestamp":1716179356000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Construction of competing endogenous RNA networks in systemic lupus erythematosus by integrated analysis"],"prefix":"10.3389","volume":"11","author":[{"given":"Juanjuan","family":"He","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunfeng","family":"Dai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianwen","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"He","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhihan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanfang","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2024,5,20]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"4","DOI":"10.55563\/clinexprheumatol\/nolysy","article-title":"One year in review 2022: systemic lupus erythematosus","volume":"40","author":"Zucchi","year":"2022","journal-title":"Clin Exp Rheumatol"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"1546","DOI":"10.1177\/0961203314551083","article-title":"Mortality and years of potential life loss in systemic lupus erythematosus: a population-based cohort study","volume":"23","author":"Lerang","year":"2014","journal-title":"Lupus"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"102359","DOI":"10.1016\/j.jaut.2019.102359","article-title":"The pathogenesis of systemic lupus erythematosus: harnessing big data to understand the molecular basis of lupus","volume":"110","author":"Catalina","year":"2020","journal-title":"J Autoimmun"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"1574","DOI":"10.3390\/cells9071574","article-title":"Competing endogenous RNAs, non-coding RNAs and diseases: an intertwined story","volume":"9","author":"Ala","year":"2020","journal-title":"Cells"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"1370","DOI":"10.1093\/nar\/gkv1367","article-title":"Circular RNAs are long-lived and display only minimal early alterations in response to a growth factor","volume":"44","author":"Enuka","year":"2016","journal-title":"Nucleic Acids Res"},{"key":"ref6","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1126\/science.1238522","article-title":"Molecular biology. 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