| 引用本文:徐萌1,2，孙凤霞2，李晓玲2.基于网络药理学探讨复方茵丹汤治疗淤胆型肝炎的作用机制[J].世界中医药,2021,(15):. |
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| 基于网络药理学探讨复方茵丹汤治疗淤胆型肝炎的作用机制 |
| Study on the Mechanism of Compound Yindan Decoction in the Treatment of Cholestatic Hepatitis Based on Network Pharmacology |
| 投稿时间：2020-07-22 |
| DOI：10.3969/j.issn.1673-7202.2021.15.010 |
| 中文关键词: 网络药理学 复方茵丹汤 淤胆型肝炎 作用机制 有效成分 核心靶点 信号通路 |
| English Keywords:Network pharmacology Compound Yindan Decoction CholestaticHepatitis Action mechanism Active components Core targets Signaling pathways |
| 基金项目:国家自然科学基金面上项目（81573897） |
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| 中文摘要: |
| 目的：通过中药复方网络药理学对复方茵丹汤治疗淤胆型肝炎的作用机制进行系统分析。方法：通过中药系统药理学数据库与分析平台（TCMSP）、中医药综合数据库（TCMID）筛选复方茵丹汤中有效活性成分及其作用靶点；运用OMIM数据库以及GeneCards数据库获取淤胆型肝炎疾病相关靶点；将药物与疾病靶点取交集，获得潜在靶点；通过DisGenet数据库分析潜在靶点的蛋白类型；运用Cytoscape软件构建中药复方调控网络；通过STRING数据库建立蛋白质-蛋白质相互作用（PPI）网络并带入Cytoscape软件进行拓扑分析；采用R软件进行潜在靶点的基因本体（GO）富集分析以及富京都基因和基因组百科全书（KEGG）通路富集分析。结果：复方茵丹汤中有效活性成分所对应的靶点与淤胆型肝炎靶点取交集，共获得了83个潜在靶点；通过复方调控网络构建，预测茵陈、大黄、栀子等药物可能通过NOS2、ESR1、DPP4等靶点对淤胆型肝炎的治疗起到一定作用；通过PPI网络及拓扑分析，获得白细胞介素6、蛋白激酶、血管内皮生长因子A等11个核心靶点，可能在复方茵丹汤治疗淤胆型肝炎中起主要作用；通过GO富集分析结果，预测潜在靶点在淤胆型肝炎的肝脏损伤、炎症反应、细胞代谢功能以及免疫功能中发挥作用；通过KEGG富集分析结果，预测Thl7细胞分化通路、HIF-1信号通路可调节机体的代谢应激，抑制炎症介质。结论：复方茵丹汤对淤胆型肝炎的作用机制可能与其109个有效活性成分、11个核心靶点以及Thl7细胞分化、HIF-1等信号通路有关。 |
| English Summary: |
| Through the network pharmacology, we analyzed the mechanism of compound Yindan Decoction in the treatment of cholestatic hepatitis systematically. Methods:We screened out the active components and their effective targets in compound Yindan decoction by TCMSP and TCMID database. We obtained the disease-related targets of cholestatic hepatitis relying on GeneCards and OMIM databases. We intersected the drug and disease targets to obtain potential targets. We analyzed the protein types of potential targets relying on DisGenet database. We constructed the regulatory network of Chinese medicinal through Cytoscape3.8.0 software. We established the Protein interaction network (PPI) through the STRING database and brought into Cytoscape3.8.0 software for topological analysis. We established gene ontology (GO) enrichment analysis of potential targets and the Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis through Cytoscape software. GO enrichment analysis of potential targets and KEGG pathway enrichment analysis were performed by using R software. Results:The targets corresponding to the active components of compound Yindan Decoction intersected with the targets of cholestatic hepatitis. And we obtaineda total of 83 potential targets. Through compound regulation network construction, it was predicted that Herba Artemisiae Scopariae (virgate wormwood herb, YC), Radix et Rhizoma Rhei (rhubarb root and rhizome, DH), Fructus Gardeniae（cape jasmine fruit，ZZ）, may play roles in the treatment of cholestatic hepatitis through NOS2, ESR1, DPP4, etc. respectively relying on the construction of the compound regulatory network. Through the PPI interaction network and topological analysis, we found 11 core targets:Interleukin 6, protein kinase, vascular endothelial growth factor A. They may play major roles in the treatment of cholestatic hepatitis with compound Yindan Decoction. Through KEGG enrichment analysis, we predicted the role of potential targets in liver injury, inflammatory response, cellular metabolism and immune function of cholestatic hepatitis; The results of KEGG enrichment analysis predicted that Thl7 cell differentiation pathway and HIF-1 signaling pathway could regulate metabolic stress and inhibit inflammatory factors. Conclusion:The mechanism of compound Yindan Decoction in the treatment of cholestatic hepatitis may be related to its 109 active components, 11 core targets, Th17 cell differentiation, HIF-1 signaling pathways and etc. |
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