文献类型：期刊文献

中文题名：育阴软肝颗粒抗肝纤维化“多成分-多靶点”的网络药理学研究

英文题名：“Multi-component-multi-target” Network pharmacology study of Yuyin Ruangan granules against hepatic fibrosis

作者：韦凌霞[1];丁茂鹏[1];王志旺[1];付晓艳[1];姚楠[1]

第一作者：韦凌霞

机构：[1]甘肃中医药大学药学院,兰州730000

第一机构：甘肃中医药大学药学院（西北中藏药协同创新中心办公室）

年份：2020

期号：7

起止页码：788

中文期刊名：中国新药杂志

外文期刊名：Chinese Journal of New Drugs

收录：CSTPCD;;Scopus;北大核心:【北大核心2017】；CSCD:【CSCD2019_2020】；

基金：国家自然科学基金项目(81860787);甘肃省高等学校科研基金项目(2015A-096)。

语种：中文

中文关键词：育阴软肝颗粒;肝纤维化;物质基础;作用机制;网络药理学

外文关键词：Yuyin Ruangan granule;hepatic fibrosis;material basis;mechanism of action;network pharmacology

摘要：目的:基于网络药理学从"多成分-多靶点-多通路"的角度探讨育阴软肝颗粒(Yuyin Ruangan granules,YRG)抗肝纤维化(hepatic fibrosis,HF)的物质基础与作用机制。方法:通过TCMSP数据库及CTD数据库筛选YRG中药的化学成分及其对应的作用靶点,采用CooLGeN和GeneCards数据库询查HF的靶点,利用DAVID数据库对HF靶点进行基因本体(gene-ontology, GO)分析与京都基因与基因组百科全书(kyoto encyclopedia of genes and genomes, KEGG)通路分析,借助Cytoscape软件构建化合物-靶点、疾病-中药-成分-靶点及成分-靶点-通路网络;利用STRING数据库和Cytoscape软件绘制蛋白互作(protein protein interaction,PPI)网络图,并进行网络拓扑结构分析;最后通过Systems Dock Web Site对核心成分与核心靶点进行分子对接验证。结果:通过筛选共得到YRG中药的43个化学成分,433个YRG中药的靶点基因,HF的靶点基因共1 463个,通过两者的匹配,得到共同基因80个。通过化合物-靶点网络和PPI网络互作筛选出与HF相关度较大的核心成分是beta-sitosterol,stigmasterol,quercetin,oligopeptides,heparin等,核心靶点:信号转导与转录激活因子(signal transducer and activator of transcription3,STAT3)、白细胞介素(inter leukin 6,IL-6)、肿瘤坏死因子-α(tumor necrosis factor, TNF-α)、表皮生长因子受体(epidermal growth factor receptor, EGFR)等。结论:YRG治疗HF是一个"多成分-多靶点-多通路"的复杂过程,为进一步研究YRG抗HF的物质基础及作用机制提供了理论依据。
Objective: Based on the network pharmacology, the material basis and mechanism of Yuyin Ruangan granules(YRG) in the treatment of hepatic fibrosis(HF) was discussed from the perspective of "multi-component-multi-target-multi-channel". Methods: The chemical constituents of traditional Chinese medicine YRG and its corresponding targets was screened by TCMSP and CTD databases. The CooLGeN and GeneCards databases were used to investigate the targets of hepatic fibrosis. gene-ontology(GO) analysis and kyoto encyclopedia of genes and genomes(KEGG) pathway analysis of YRG targets were conducted using DAVID database. Construction of compound-targets, disease-Chinese medicine-component-targets and component-targets-path network were obtained by Cytoscape software. Protein-protein interaction(PPI) network was mapped by using STRING database and Cytoscape software, and network topology analysis was conducted. Finally, the molecular docking verification of the core components screened in the compound-target network and the core targets obtained by the PPI network interaction analysis were performed by Systems Dock Web Site. Results: A total of 43 chemical constituents of YRG, 433 target genes, and 1 463 target genes for hepatic fibrosis were obtained by screening. Eighty of the shared genes were obtained by matching the two. The core components that are highly correlated with hepatic fibrosis by compound-target network and PPI network interaction are beta-sitosterol, stigmasterol, quercetin, oligopeptides, heparin, etc. The core targets are signal transduction and activator of transcription3(STAT3), interleukin 6(IL-6), tumor necrosis factor-α(TNF-α), epidermal growth factor receptor(EGFR), and so on. Conclusion: treatment of YRG against hepatic fibrosis is a complex process of "multi-component-multi-target-multi-channel", providing a theoretical basis for further study of the anti-fibrosis material basis and mechanism of YRG.