疏风解毒颗粒治疗新型冠状病毒肺炎机制的网络药理学探讨

Network Pharmacology Discussion on the Mechanism of Shufeng Jiedu Granules in Treating Corona Virus Disease 2019

目的:基于网络药理学研究疏风解毒颗粒治疗新型冠状病毒肺炎(COVID-19)的作用机制。方法:使用TCMSP数据库对疏风解毒颗粒的中药活性成分进行检索、筛选;运用GeneGards数据库对疾病靶点进行预测、筛选,将上述二者的共同靶点输入String数据库获取靶标蛋白互作网络关系,利用Cytoscape 3.7.2软件构建PPI网络、“中药-成分-靶标-疾病”网络,并通过Cytoscape 3.7.2软件、R软件及相应程序包进行GO功能富集分析及KEGG通路富集分析。结果:共筛选到207个活性成分和1006个中药成分靶点,新型冠状病毒肺炎350个相关靶点,从而得到药物-疾病的共同靶点49个,GO功能富集分析得到1575个条目(P<0.05),KEGG富集分析得到120条相关信号通路(P<0.05),主要涉及IL-17信号通路,TNF信号通路等。结论:疏风解毒颗粒可能通过多靶点、多通路调节病毒、炎症相关通路等方面达到治疗COVID-19的效果。

Objective:To study the mechanism of Shufeng jiedu granules in treating Corona Virus Disease 2019(COVID-19)based on network pharmacology.Methods:TCMSP database was used to search and screen the active components of Shufeng jiedu granules,GeneGards database was used to predict and screen disease targets,the common targets of the above two were input into the STRING database to obtain the target protein interaction network,the PPI network and the“traditional Chinese medicines-components-targets-diseases”network were constructed by using Cytoscape 3.7.2 software,and the GO function enrichment analysis and KEGG pathway enrichment analysis were carried out by using Cytoscape 3.7.2 software,R software and the corresponding program package.Results:A total of 207 active components and 1006 traditional Chinese medicine component targets were screened,and 350 COVID-19-related targets were identified,so as to obtain 49 common drug-disease targets.GO functional enrichment analysis resulted in 1575 items(P<0.05),KEGG enrichment analysis resulted in 120 related signaling pathways(P<0.05),mainly involving IL-17 signaling pathway,TNF signaling pathway,etc.Conclusion:Shufeng jiedu granules may achieve the therapeutic effect of COVID-19 through multi-targets,multi-pathways to regulate virus and inflammation-related pathways.