百部治疗结核病的网络药理学分子机制研究

Molecular Mechanism Research of Baibu (Stemonae Radix) in Treating Tuberculosis Based on Network Pharmacology

目的基于网络药理学研究百部治疗结核病的药物成分,预测作用靶点,并探讨其潜在的作用机制。方法通过中药系统药理学数据库(TCMSP)收集百部的药物成分及相应作用靶点;运用STRING数据库与Cytoscape软件构建"药物成分-作用靶点"网络和作用靶点间的关系网络;通过ClueGO对靶点的基因本体(GO)及通路进行富集分析。最后,把作用靶点映射在京都基因与基因组百科全书(KEGG)通路图上进行分析。结果以口服生物利用度(OB)和类药性(DL)两个参数为标准,共筛选得到32个药物成分;疾病相关的作用靶点共筛选出45个;通过富集分析得出多条相关的基因本体(GO)功能和KEGG通路。结论研究结果初步预测了百部治疗结核病的主要药物成分、靶点和信号通路,为其药物成分的进一步开发和深入的机制研究提供了新思路和新方向。

Objective To analyze the effective active ingredients of Baibu(Stemonae Radix)in the treatment of tuberculosis based on network pharmacology,in order to predict their targets and explore the potential mechanism. Methods Herb ingredients and their corresponding targets were collected from Traditional Chinese Medicine System Pharmacology database(TCMSP). Herb ingredients-targets network and target interacting network were built by STRING database and Cytoscape software. ClueGO was used to enrich the gene ontology and pathway of core targets. Finally,the targets were mapped to the graph of correlative pathway from KEGG. Results The 32 herb ingredients were screened out based on two parameters[oral bioavailability(OB)and drug-like(DL)]. A total of 45 targets related to tuberculosis were selected,and a number of corresponding gene ontology(GO)functions and Kyoto Encyclopedin of Genes and Genomes(KEGG)pathways were enriched. Conclusion The results of this study preliminarily predicted the main drug components,targets and signaling pathways of Baibu(Stemonae Radix)for tuberculosis,and provided new ideas and directions for further pharmaceutical ingredients development and mechanism research of Baibu(Stemonae Radix).