Revealing therapeutic targets and drugs from Chinese medicine for ulcerative colitis using bioinformatics.

Abstract

Pathogenesis and therapeutic drugs for ulcerative colitis (UC) have plagued researchers worldwide. In this study, therapeutic targets, and drugs from Chinese medicines for UC were screened using bioinformatics. We downloaded five datasets from the GEO database and three machine learning algorithms were used for screening diagnostic biomarkers of UC. Combined with the differential genes for UC, gene sets related to bile acid metabolism, short-chain fatty acids, apoptosis, pyroptosis, G-protein-coupled receptors, mitochondria, and autophagy were collected to screen the core targets, and analyze the association of therapeutic genes (diagnostic biomarkers and core targets) with immune cells. In addition, screening ingredients of Chinese medicines based on UC therapeutic targets was performed. Molecular docking, molecular dynamics simulation, and literature validation were also performed. The screening yielded 37 key therapeutic targets, including 5 diagnostic biomarkers (CCL11, CXCL1, PDZK1IP1, TIMP1, and UGT2A3) and 32 core targets based on hot gene sets. Immune cell infiltration was strongly associated with therapeutic targets in UC, especially neutrophils, macrophages, mast cells, and dendritic cells. Furthermore, a total of 33 compounds with high safety had been recognized as having potential to mitigate UC by reverse prediction from Chinese medicines, and molecular docking, molecular dynamics simulation, and literature reports preliminarily validated the screening results. Although further experimental validation is needed, this work provides some potential therapeutic targets and drugs from Chinese medicines against UC.