基于生物信息学分析对儿童克罗恩病核心发病基因 预测及诊治意义.

Objective To screen out differential expressed genes (DEGs) of pediatric Crohn′s disease (PCD) by bioinformatics method, and to explore the pathogenesis of PCD, so as to provide a potential target for the diagnosis and treatment of PCD.Methods The microarray database GSE126124 of colon tissue of healthy controls and children with PCD was obtained from the gene expression omnibus data base (GEO) and DEGs was screened by the gene expression omnibus data base to R (GEO2R) .Then, using the DAVID database, the DEGs of PCD was analyzed by the gene ontology (GO) and the Kyoto encyclopedia of genes and genomes (KEGG) .The protein-protein interaction (PPI) was constructed using STRING database, and the first 24 core genes were identified by Cytoscape 3.9.1 software.Finally, the expression level of core genes was verified in GSE3365 gene chip database.Results A total of 141 DEGs were found in GSE126124 chip database, of which 39 were up-regulated and 102 were down-regulated.These DEGs were involved in immune regulation, intestinal adaptation, intestinal mucosal barrier function and other cellular activities and body regulation.A total of 24 potential core genes were screened from the PPI, and the expression differences were all significant in the validation databases, among which CXCL2 and IL-1β were the most significant.Conclusion Core genes such as CXCL2 and IL-1β are likely to be the the key genes of PCD, and may become potential targets for diagnosis and treatment of PCD. [ABSTRACT FROM AUTHOR]