基于网络药理学的治伤风颗粒治疗感冒的作用机制探讨

Exploration on therapeutic mechanisms of Zhishangfeng Granules for common cold based on network pharmacology

  • 摘要:
      目的  应用网络药理学技术探讨治伤风颗粒治疗感冒的作用机制。
      方法  通过中药系统药理学数据库与分析平台(TCMSP)和药物靶点信息数据库(DrugBank)检索治伤风颗粒的化学成分及作用靶点;基于GeneCards数据库检索“感冒”的靶点,取药物与疾病靶点交集,应用Cytoscape软件构建“活性成分-靶点-疾病”网络。应用STRING数据库建立蛋白质互作(PPI)网络,应用R软件进行基因本体(GO)富集分析和京都基因和基因组百科全书(KEGG)通路富集分析。
      结果  通过筛选共得到治伤风颗粒有效成分146种,药物靶点280个,疾病靶点1 418个,提取出两者的共同靶点117个。将药物与靶点导入Cytoscape软件,分析得出槲皮素、山奈酚和木犀草素等为中药中度值较高的活性成分,无水咖啡因为西药中度值最高的活性成分。STRING数据库分析得出IL-6、AKT1、INS、VEGFA、MAPK8等属于感冒的关键靶点。GO分析显示生物过程(BP)、细胞组分(CC)和分子功能(MF)3个方面的富集条目。KEGG通路富集分析筛选得出TNF信号通路、IL-17信号通路等20条信号通路,并绘制了“通路-靶点”关系图。
      结论  基于网络药理学分析筛选出了治伤风颗粒治疗感冒的活性成分、作用靶点和通路,初步得出了其作用机制,为该药的深入研究提供了一定的依据。

     

    Abstract:
      Objective  To explore the therapeutic mechanisms of Zhishangfeng Granules for common cold based on network pharmacology.
      Methods  The chemical compositions and targets of Zhishangfeng Granules were searched by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and DrugBank Database. Related targets of the cold were obtained through GeneCards database, and the drug targets and disease targets were intersected. The "active ingredients-targets-disease" network was constructed by Cytoscape software. Protein-protein interaction (PPI) network was established by STRING database. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed with R software.
      Results  A total of 146 kinds of active ingredients, 280 drug targets and 1 418 disease targets were obtained after screening. There were 117 targets at the intersection of drugs and diseases. Drug and targets were imported into Cytoscape software, and the results showed that quercetin, kaempferol and luteolin were the active ingredients with high degree value in traditional Chinese drugs, and anhydrous caffeine was the active ingredient with the highest degree value in western medicine. STRING database analysis showed that IL-6, AKT1, INS, VEGFA and MAPK8 were the key targets of the common cold. Biological process (BP), cellular component (CC) and molecular function (MF) were obtained through GO enrichment analysis. Twenty signaling pathways such as TNF signaling pathway and IL-17 pathway were obtained through KEGG pathway enrichment analysis, and the "pathways-targets" relationship diagram was drawn.
      Conclusion  The active ingredients, targets and pathways of Zhishangfeng Granules for common cold are screened out and the potential mechanism is preliminarily obtained based on network pharmacology, which can provide certain evidences for the further study of this drug in the future.

     

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