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

Wang, Z.; Zhu, J.; Ma, L.

doi:10.1101/543835

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bioRxiv · 10.1101/543835

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

Wang, Z.·Zhu, J.·Ma, L.

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Abstract

Crohns disease is a type of inflammatory bowel disease posing a significant threat to human health all over the world. Genome-wide gene expression profiles of mucosal colonic biopsies have provided some insight into the molecular mechanisms of Crohns disease. However, the exact pathogenesis is unclear. This study aimed to identify key genes and significant signaling pathways associated with Crohns disease by bioinformatics analysis. To identify key genes, an integrated analysis of gene expression signature was conducted using a robust rank aggregation approach. A total of 179 Crohns disease patients and 94 healthy controls from nine public microarray datasets were included. 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 co-expression network analysis to explore the co-expression modules associated with Crohns disease pathogenesis. Seven main functional modules were identified, of which black module showed the highest correlation with Crohns disease. 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. There were also several other meaningful functional modules which enriched in many biological processes. The present study identified a number of key genes and pathways correlated with Crohns disease and potential drugs to combat it, which might offer insights into Crohns disease pathogenesis and provide a clue to potential treatments.

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Wang, Z., Zhu, J., Ma, L.. 2019-02-07. Identification of key genes and pathways associated with Crohn's disease by bioinformatics analysis. https://doi.org/10.1101/543835

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