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

溃疡性结肠炎 医学 生物信息学 中医药 免疫系统 计算生物学 生物 免疫学 疾病 病理 替代医学
作者
Feng Xu,Xiaofen Li,Xiangpei Wang,Hongmei Wu,Song Chen,Jianyang Chen,Xiang‐Peng Kong,Zhenglin Yang
出处
期刊:Journal of Biomolecular Structure & Dynamics [Taylor & Francis]
卷期号:: 1-11
标识
DOI:10.1080/07391102.2024.2440651
摘要

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.
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