Identification of key genes and pathways associated with Crohn's disease by bioinformatics analysis

Abstract

Aims: Crohn's disease (CD) is a type of inflammatory bowel disease. The present study aimed to identify key genes and significant signaling pathways associated with CD by bioinformatics analysis. A total of 179 CD patients and 94 healthy controls from nine genome-wide gene expression datasets were included.Results: MMP1 and CLDN8 were two key genes screened from the differentially expressed genes. Connectivity Map predicted several small molecules as possible adjuvant drugs to treat CD. Besides, we used weighted gene coexpression network analysis to explore the functional modules involved in CD pathogenesis. Seven main functional modules were identified, of which black module showed the highest correlation with CD. The genes in black module mainly enriched in interferon signaling and defense response to virus. Blue module was another important module and enriched in several signaling pathways, including extracellular matrix organization, inflammatory response and blood vessel development.Conclusions: This study identified a number of key genes and pathways involved in CD and potential drugs to combat it, which might offer insights into CD pathogenesis and provide a clue to potential treatments.