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升降散治疗COVID-19的网络药理学机制 被引量:8

Based on Network Pharmacology Analysis of Sheng-Jiang-San for the Treatment of New Coronavirus Pneumonia Potential Mechanism
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摘要 目的:探究复方升降散对新冠肺炎(COVID-19)潜在作用机制。方法:运用中药系统药理学数据库和分析平台(TCMSP)、BATMAN-TCM数据库等方式探究升降散的活性化合物和相应靶点;COVID-19的相关靶点由Gene Cards数据库获得,将升降散的活性成分相关的靶点与COVID-19相关的靶点进行相交,得到升降散作用于COVID-19的潜在治疗靶点;运用Cytoscape 3.7.2软件和STRING在线分析工具构建"复方-中药-靶点-疾病"和靶点蛋白互作网络图,并对网络进行拓扑结构分析,筛选得到核心的靶点;最后利用David数据库对关键靶点进行GO分析和KEGG通路富集分析,并运用R语言对KEGG通路富集分析进行可视化处理。结果:共获得药物升降散活性成分33个,其潜在的作用靶点有437个;与COVID-19有关靶点30个,分析得到关键靶点15个,这些靶点多为炎症相关介质;GO分析得到154种生物学过程(biological process,BP)、12种细胞组成(cellular component,CC)和21种分子功能(molecular function,MF);KEGG富集通路分析得到51条通路,这些通路大多与病毒和细菌感染有关。结论:升降散通过多成分、多靶点和多通路起到抗病毒、抗炎的效果,具有潜在治疗COVID-19的作用。 Objective:To explore the potential mechanism of action of Compound Sheng-Jiang-San on new coronary pneumonia(COVID-19).Methods:The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),BATMAN-TCM database were used to collect the active compounds and corresponding targets of the Sheng-Jiang-San;The relevant targets of COVID-19 were obtained from the Gene Cards database and the intersection targets were collected with Venny 2.1.0.The Cytoscape 3.7.2 software and STRING online analysis tool were used to construct a“compound-target-disease”and PPI network diagram,and got the core targets.Finally,the David database was used to analyze GO biological processes and KEGG pathway enrichment on core targets,and R language was used to visualize the KEGG pathway enrichment analysis.Results:A total of 33 active components and 437 potential targets were predicted;30 targets and 15 key targets were obtained,which were inflammation-related mediators.GO analysis showed 154 Biological processes(BP),12 Cellular components(CC)and 21 Molecular functions(MF).The KEGG enrichment pathway analysis revealed 51 pathways,most of which were related to virus and bacterial infection.Conclusion:Sheng-Jiang-San may play an antiviral and anti-inflammatory role through a variety of targets and pathways,thus have a potential therapeutic effect on COVID-19 ultimately.
作者 赵院院 曹利华 李秀敏 苗明三 ZHAO Yuanyuan;CAO Lihua;LI Xiumin;MIAO Mingsan(Department of Pharmacy,Henan University of Chinese Medicine,Zhengzhou 450046,China;New York Medical College,Microbiology and immunology,New York 10595,American)
出处 《重庆理工大学学报(自然科学)》 CAS 北大核心 2021年第7期201-208,222,共9页 Journal of Chongqing University of Technology:Natural Science
基金 河南省应急攻关项目(201100312300) 郑州市应急攻关项目(ZZKJ2020604) 国家国际合作基地项目(2016-65)。
关键词 升降散 网络药理学 COVID-19 Sheng-Jiang-San network pharmacology COVID-19
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