Identification and validation of key long non-coding RNAs using co-expression network analysis in Crohn’s disease

Background Crohn's disease (CD) is a chronic inflammatory of the digestive tract. The underlying molecular mechanism CD remains unclear. aim this study was to investigate differentially expressed long non-coding RNA (lncRNA) in and its possible mechanism, verify expression lncRNA. Methods Microarray GSE67106 GSE83448 were downloaded from Gene Expression Omnibus (GEO) database. Differentially lncRNAs (DELs) messenger RNAs (mRNAs, DEGs), when normalized through betaqn package R, determined via limma package. Ontology (GO) Kyoto Encyclopedia genes genomes (KEGG) pathways studied using database for annotation, visualization integrated discovery (DAVID) version 6.7, along with Set Enrichment Analysis (GSEA) 3.0. co-expression lncRNAs-mRNAs weighted gene co network analysis (WGCNA). micro (miRNAs) related DELs DEGs forecast. A competing endogenous (ceRNA) established. Results There 42 551 identified total among samples normal control, respectively. These enriched such as retinol metabolism, renin angiotensin system, maturation-related signaling pathways. lncRNA-mRNA constructed by WGCNA, CDKN2B-AS (ANRIL), CTC-210G5.1.1, RP11-467L20.10.1, RP11-325F22.5.1, RP11-59E19.1.1 hub DELs. Together miRNAs, ceRNA functional showed that cell brush border plasma membrane, synthesis transport lipoprotein, maturation, regulation blood pressure involved progression CD. We successfully validated 1 lncRNA ANRIL, our clinical specimens, which can feature prominently However, exact ANRIL prediction diagnosis requires further exploration. Conclusions This has certain predictive effect on occurrence development could be new potential treatment target.