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Through bioinformatics analysis, qRT\u2010PCR validation, ELISA, and receiver operating characteristic (ROC) curve analysis of 100 patients with T2D and 100 controls to evaluate the correlation between lncRNAs and T2D, and whether lncRNAs could be used in the diagnosis of T2D patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We identified 68 and 74 differentially expressed lncRNAs and mRNAs, respectively. The top five upregulated lncRNAs are ENST00000381108.3, ENST00000515544.1, ENST00000539543.1, ENST00000508174.1, and ENST00000564527.1, and the top five downregulated lncRNAs are TCONS_00017539, ENST00000430816.1, ENST00000533203.1, ENST00000609522.1, and ENST00000417079.1. The top five upregulated mRNAs are Q59H50, CYP27A1, DNASE1L3, GRIP2, and lnc\u2010TMEM18\u201012, and the top five downregulated mRNAs are GSTM4, PODN, GLYATL2, ZNF772, and CLTC. Examination of lncRNA\u2010mRNA interaction pairs indicated that the target gene of lncRNA XR_108954.2 is <jats:italic>E2F2<\/jats:italic>. Multiple linear regression analysis showed that XR_108954.2 (<jats:italic>r<\/jats:italic> = 0.387, <jats:italic>p<\/jats:italic> &lt; 0.01) and <jats:italic>E2F2<\/jats:italic> (<jats:italic>r<\/jats:italic> = 0.368, <jats:italic>p<\/jats:italic> &lt; 0.01) expression levels were positively correlated with glucose metabolism indicators. Moreover, <jats:italic>E2F2<\/jats:italic> was positively correlated with lipid metabolism indicators (<jats:italic>r<\/jats:italic> = 0.333, <jats:italic>p<\/jats:italic> &lt; 0.05). The area under the ROC curve was 0.704 (95% CI: 0.578\u20130.830, <jats:italic>p<\/jats:italic> = 0.05) for lncRNA XR_108954.2 and 0.653 (95% CI: 0.516\u20130.790, <jats:italic>p<\/jats:italic> = 0.035) for <jats:italic>E2F2<\/jats:italic>.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>This transcriptome analysis explored the aberrantly expressed lncRNAs and identified <jats:italic>E2F2<\/jats:italic> and lncRNA XR_108954.2 as potential biomarkers for patients with T2D.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jcla.24280","type":"journal-article","created":{"date-parts":[[2022,3,8]],"date-time":"2022-03-08T04:58:30Z","timestamp":1646715510000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Long non\u2010coding RNA screening and identification of potential biomarkers for type 2 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