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基于网络药理学和分子对接研究三七抗类风湿关节炎的分子机制
引用本文:基于网络药理学和分子对接研究三七抗类风湿关节炎的分子机制. 基于网络药理学和分子对接研究三七抗类风湿关节炎的分子机制[J]. 山东科学, 2022, 35(2): 36-45. DOI: 10.3976/j.issn.1002-4026.2022.02.005
作者姓名:基于网络药理学和分子对接研究三七抗类风湿关节炎的分子机制
作者单位:烟台大学药学院分子药理和药物评价教育部重点实验室,山东烟台264005
基金项目:烟台大学大学生创新创业训练计划(S202011066037);烟台大学大学生创新创业训练计划(201911066004);烟台市科技计划(2019XDHZ109)
摘    要:通过中药系统药理学数据库与分析平台获取三七的主要活性成分及其相关靶点;通过GeneCards数据库预测类风湿关节炎相关靶点,并运用Uniprot数据库标准化蛋白名称,取三七-类风湿关节炎的交集靶点;通过STRING平台进行蛋白质-蛋白质相互作用分析;采用Metascape平台进行GO(gene ontology)功能分析和KEGG(Kyoto encyclopedia of genes and genomes)信号通路富集分析;采用Cytoscape3.7.2构建活性成分-靶点-信号通路相互作用网络;利用AutoDock Vina 1.1.2软件对关键靶点和成分进行分子对接。结果表明:通过筛选获得三七核心活性成分7种,三七-类风湿关节炎共同作用靶点100个,其中核心靶点包括AKT1、IL6、VEGFA、TNF、TP53、JUN、CASP3、PTGS2等;GO分析获得1 064条信号通路,KEGG分析得到102条信号通路,其中与类风湿关节炎相关的信号通路包括AGE-RAGE、MAPK、TNF、IL-17以及HIF-1等;分子对接结果显示关键靶点与成分具有较好的结合活性。研究认为三七抗类风湿关节炎可能是通过对物质代谢、信号转导、炎症反应等多靶点及多通路的调节从而发挥作用。

关 键 词:网络药理学  类风湿关节炎  三七  分子对接
收稿时间:2021-04-09

Molecular mechanism of Notoginseng Radix Et Rhizoma's action against rheumatoid arthritis based on network pharmacology and molecular docking
ZHANG Xiao-wen,YING Tian-hao,LIANG Mei-chen,WANG Yan-fang,WANG Xin-lin,ZHANG Lei-ming. Molecular mechanism of Notoginseng Radix Et Rhizoma's action against rheumatoid arthritis based on network pharmacology and molecular docking[J]. Shandong Science, 2022, 35(2): 36-45. DOI: 10.3976/j.issn.1002-4026.2022.02.005
Authors:ZHANG Xiao-wen  YING Tian-hao  LIANG Mei-chen  WANG Yan-fang  WANG Xin-lin  ZHANG Lei-ming
Affiliation:Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, School of Pharmacy, Yantai University, Yantai 264005,China
Abstract:Network pharmacology and molecular docking methods were used to study the molecular mechanism of Notoginseng Radix Et Rhizoma's action against rheumatoid arthritis. The main active ingredients and related targets of Notoginseng Radix Et Rhizoma were obtained through the Traditional Chinese Medicine systems pharmacology database and analysis platform (TCMSP). The GeneCards database was used to predict rheumatoid arthritis-related targets, and the Uniprot database was used to standardize protein names and obtain the intersection target of Notoginseng Radix Et Rhizoma and rheumatoid arthritis. The STRING platform was used to analyze protein-protein interactions, and the Metascape platform was used to perform gene ontology (GO) function analysis and Kyoto encyclopedia of genes and genomes (KEGG) signaling pathway enrichment analysis. Cytoscape 3.7.2 was used to construct the active ingredient-target-signaling pathway interaction network. In addition, the AutoDock Vina 1.1.2 software was used for molecular docking of key targets and components. On screening, 7 core active ingredients of Notoginseng Radix Et Rhizoma and 100 intersection targets for Notoginseng Radix Et Rhizoma and rheumatoid arthritis, e.g., AKT1, IL6, VEGFA, TNF, TP53, JUN, CASP3, and PTGS2 were obtained. GO and KEGG analyses derived 1064 and 102 signaling pathways, respectively; of which, the signaling pathways related to rheumatoid arthritis included AGE-RAGE, MAPK, TNF, IL-17, and HIF-1 signaling pathways. Furthermore, molecular docking results showed that the key targets and components had a good binding activity. Therefore, our results suggest that Notoginseng Radix Et Rhizoma may play a role in preventing rheumatoid arthritis by the regulation of multiple targets and pathways, such as metabolism, signal transduction, and inflammatory pathways.
Keywords:network pharmacology  rheumatoid arthritis  Notoginseng Radix Et Rhizoma  molecular docking  
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