文献类型：期刊文献

中文题名：基于网络药理学分析宣肺化浊方治疗新型冠状病毒肺炎(COVID-19)的潜在作用机制

英文题名：Analysis of potential mechanism of Xuanfei Huazhuo Fang(宣肺化浊方)in the treatment of corona virus disease 2019(COVID-19)based on network pharmacology

作者：杜丽东[1,2];吴国泰[1,2];曹如冰[1];马清林[1];臧凯宏[1,2];段海婧[1,2];任远[1,2]

第一作者：杜丽东

机构：[1]甘肃中医药大学药学院,甘肃兰州730101;[2]甘肃省中药药理与毒理学重点实验室,甘肃兰州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：2021

卷号：38

期号：1

起止页码：21

中文期刊名：甘肃中医药大学学报

外文期刊名：Journal of Gansu University of Chinese Medicine

基金：甘肃省中医药科研立项课题资助项目(GZK-2019-23);甘肃省中药药理与毒理学重点实验室开放基金资助项目(ZDSYS-KJ-2018-002);甘肃省委组织部省级重点人才项目(2019-39)。

语种：中文

中文关键词：新型冠状病毒肺炎;宣肺化浊方;网络药理学;作用机制

外文关键词：corona virus disease 2019(COVID-19);Xuanfei Huazhuo Fang(宣肺化浊方,XHF);network pharmacology;mechanism

摘要：目的运用网络药理学方法分析宣肺化浊方治疗新型冠状病毒肺炎(COVID-19)的潜在作用机制,为宣肺化浊方更广泛地应用于COVID-19的治疗提供理论依据。方法检索TCMSP、UniProt、GeneCards数据库,筛选宣肺化浊方化学成分-作用靶点及COVID-19相关靶点;采用Venn在线平台映射宣肺化浊方治疗COVID-19的靶点;采用Cytoscape 3.7.1软件和STRING数据库构建PPI网络和药物-化学成分-靶点网络;采用DAVID 6.8和KOBAS数据库对关键靶点进行GO功能和京都基因与基因组百科全书(KEGG)信号通路富集分析,采用Omicshare云平台对GO功能和KEGG信号通路进行可视化操作。结果从宣肺化浊方中共筛选出392个化学成分,对应3326个靶点,治疗COVID-19的潜在靶点有67个,其中超过平均度值的关键靶点36个。GO功能富集分析得到1326个条目(P≤0.01),KEGG信号通路富集分析得到130条(P≤0.01)相关通路,主要涉及白细胞介素-17信号通路、肿瘤坏死因子信号途径、糖尿病并发症中的晚期糖基化终末产物(AGEs)-AGEs受体(RAGE)信号通路、C型凝集素受体信号通路、T细胞受体信号通路、Toll样受体信号通路等。结论宣肺化浊方治疗COVID-19的作用机制可能与其多个化学成分通过多靶点、多通路参与抗炎和免疫调节等作用有关。
Objective To analyse the potential mechanism of Xuanfei Huazhuo Fang(宣肺化浊方,XHF)in the treatment of corona virus disease 2019(COVID-19)based on network pharmacology,and to provide a theoretical reference for its application in treating COVID-19.Methods Traditional Chinese Medicine Systems Pharmacology(TCMSP)database,Unified Protein(UniProt)database and GeneCards database were used to screen out the chemical components and targets of XHF together with related targets for COVID-19.Venn online platform was used to map the targets of XHF in the treatment of COVID-19;Cytoscape3.7.1 software and Search Tool for the Retrieval of Interacting proteins(STRING)database were used to construct protein-protein interaction(PPI)network and drugchemical composition-target network;the Database for Annotation,Visualization and Integrated Discovery(DAVID)6.8 and Kyoto encyclopedia of genes and genomes(KEGG)Orthology Based Annotation System(KOBAS)database were used to perform gene ontology(GO)function enrichment and KEGG signal pathway analysis for key targets;Omicshare cloud platform was used to visualize the GO function and KEGG signal pathway.Results Totally 392 chemical components were screened out from XHF,corresponding to 3326 targets.Sixty-seven potential targets for the treatment of COVID-19 were found,36 key targets of which exceeded the average degree value.GO function enrichment analysis yielded 1326 entries(P≤0.01),and KEGG pathway enrichment analysis generated 130 related signal pathways(P≤0.01),mainly involving the interleukin-17(IL-17)signaling pathway,tumor necrosis factor(TNF)signaling pathway,advanced glycation end products(AGEs)-receptor for AGEs(RAGE)signaling pathway in diabetic complications,C-type lectin receptor signaling pathway,T cell receptor signaling pathway,Toll-like receptor signaling pathway etc.Conclusion The mechanism of XHF in the treatment of COVID-19 may be related to its multiple chemical components participating in exerting anti-inflammatory and immune regulatory effects through multiple targets and pathways.