Yang Pingrui, Zhong Chonghua, Huang Huan, Li Xifeng, Du Lin, Zhang Lifang, Bi Shicheng, Du Hongxu, Ma Qi, Cao Liting
Department of Traditional Chinese Veterinary Medicine, College of Veterinary Medicine, Southwest University, Chongqing, China.
College of Animal Science and Technology, Southwest University, Chongqing, China.
Front Physiol. 2023 May 2;14:1175227. doi: 10.3389/fphys.2023.1175227. eCollection 2023.
extract (MCE) is effective in the treatment of enteritis, but its mechanism has not been fully elucidated. Therefore, this study combined network pharmacology and molecular docking technologies to investigate the potential pharmacological mechanism of MCE in the treatment of enteritis. The information of active compounds in MCE was accessed through the literature. Furthermore, PubChem, PharmMapper, UniProt, and GeneCards databases were used to analyze the targets of MCE and enteritis. The intersection of drug and disease targets was imported into the STRING database, and the analysis results were imported into Cytoscape 3.7.1 software to construct a protein-protein interaction (PPI) network and to screen core targets. The Metascape database was used for conducting Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. AutoDock Tools software was used for the molecular docking of active compounds with the core targets. MCE has four active compounds, namely, sanguinarine, chelerythrine, protopine, and allocryptopine, and a total of 269 targets after de-duplication. Furthermore, a total of 1,237 targets were associated with enteritis, 70 of which were obtained by aiding the drug-disease intersection with the aforementioned four active compound targets of MCE. Five core targets including mitogen-activated protein kinase 1 (MAPK1) and AKT serine/threonine kinase 1 (AKT1) were obtained using the PPI network, which are considered the potential targets for the four active compounds of MCE in the treatment of enteritis. The GO enrichment analysis involved 749 biological processes, 47 cellular components, and 64 molecular functions. The KEGG pathway enrichment analysis revealed 142 pathways involved in the treatment of enteritis by the four active compounds of MCE, among which PI3K-Akt and MAPK signaling pathways were the most important pathways. The results of molecular docking showed that the four active compounds demonstrated good binding properties at the five core targets. The pharmacological effects of the four active compounds of MCE in the treatment of enteritis involve acting on signaling pathways such as PI3K-Akt and MAPK through key targets such as AKT1 and MAPK1, thus providing new indications for further research to verify its mechanisms.
提取物(MCE)对肠炎治疗有效,但其机制尚未完全阐明。因此,本研究结合网络药理学和分子对接技术,探讨MCE治疗肠炎的潜在药理机制。通过文献获取MCE中活性成分的信息。此外,利用PubChem、PharmMapper、UniProt和GeneCards数据库分析MCE和肠炎的靶点。将药物和疾病靶点的交集导入STRING数据库,并将分析结果导入Cytoscape 3.7.1软件,构建蛋白质-蛋白质相互作用(PPI)网络并筛选核心靶点。利用Metascape数据库进行基因本体(GO)富集和京都基因与基因组百科全书(KEGG)通路分析。使用AutoDock Tools软件对活性成分与核心靶点进行分子对接。MCE有四种活性成分,即血根碱、白屈菜红碱、原阿片碱和别隐品碱,去重后共有269个靶点。此外,共有1237个靶点与肠炎相关,其中70个是通过将上述MCE的四种活性成分靶点与药物-疾病交集得到的。利用PPI网络获得了包括丝裂原活化蛋白激酶1(MAPK1)和AKT丝氨酸/苏氨酸激酶1(AKT1)在内的五个核心靶点,这些被认为是MCE的四种活性成分治疗肠炎的潜在靶点。GO富集分析涉及749个生物学过程、47个细胞成分和64个分子功能。KEGG通路富集分析显示,MCE的四种活性成分治疗肠炎涉及142条通路,其中PI3K-Akt和MAPK信号通路是最重要的通路。分子对接结果表明,这四种活性成分在五个核心靶点处表现出良好的结合特性。MCE的四种活性成分治疗肠炎的药理作用涉及通过AKT1和MAPK1等关键靶点作用于PI3K-Akt和MAPK等信号通路,从而为进一步研究验证其机制提供了新线索。