基于网络药理学探究益气化痰方治疗新型冠状病毒肺炎的分子机制  

Investigation of the molecular mechanism of Yiqi Huatan Prescription in the treatment of coronavirus disease 2019 based on network pharmacology

作　　者：陈雪晴[1] 刘雁锥 冯静[3] 罗苑苑[4] 李姗[5] CHEN Xueqing;LIU Yanzhui;FENG Jing;LUO Yuanyuan;LI Shan(Department of Clinical Laboratory,the First Affiliated Hospital of Guangzhou University of Chinese Medicine,Guangdong Province,Guangzhou 510040,China;Department of Clinical Laboratory,People’s Hospital of Suixi County,Zhanjiang City,Guangdong Province,Suixi 524300,China;Department of Respiratory Medicine,Zhengzhou Yihe Hospital Affiliated to He’nan University,He’nan Province,Zhengzhou 450046,China;Department of Critical Care Medicine,the First Affiliated Hospital of Guangzhou University of Chinese Medicine,Guangdong Province,Guangzhou 510040,China;Department of Pathology and Pathophysiology,School of Basic Medicine,He’nan University of Chinese Medicine,He’nan Province,Zhengzhou 450046,China)

机构地区：[1]广州中医药大学第一附属医院检验科,广东广州510040 [2]广东省遂溪县人民医院检验科,广东遂溪524300 [3]河南大学附属郑州颐和医院呼吸内科,河南郑州450046 [4]广州中医药大学第一附属医院重症医学科,广东广州510040 [5]河南中医药大学基础医学院病理学与病理生理学教研室,河南郑州450046

出　　处：《中国医药导报》2021年第24期26-31,F0004,共7页China Medical Herald

基　　金：广东省医学科学技术研究基金项目(A2019505);广东省普通高校青年创新人才项目(2018KQNCX048)。

摘　　要：目的应用网络药理学分析并进一步探讨益气化痰方治疗新型冠状病毒肺炎(COVID-19)的分子机制。方法运用升级的中药系统药理学数据库检索益气化痰方中的活性成分和潜在靶点,构建药物-成分-靶点作用网络。通过GeneCards数据库筛选出COVID-19的相关靶点,取其与药物作用的共同靶点导入String数据库进行靶蛋白的交互分析。利用DAVID网络数据库进行基因本体论(GO)分析和京都基因和基因组数据库(KEGG)通路富集分析。结果共筛选出益气化痰方的活性成分145个,潜在作用靶点267个,COVID-19相关靶点共251个,益气化痰方与COVID-19的交集靶点56个,拓扑分析后的关键靶点10个。GO分析显示益气化痰方主要涉及炎症反应、免疫应答、凋亡过程及凋亡正负调控、蛋白质及酶的结合、细胞因子活性等57个生物学过程、11个分子功能和4个细胞组分。KEGG富集得到美洲锥虫病、乙型肝炎、肺结核、百日咳等感染性疾病及肿瘤坏死因子信号通路、Toll样受体信号通路、丝裂原活化蛋白激酶信号通路等25条通路。结论益气化痰方可通过多功能、多靶点和多途径协同发挥抗COVID-19功效,为进一步深入研究配伍传统中药的临床应用提供科学支持和理论依据。Objective To investigate the molecular mechanism of Yiqi Huatan Prescription in the treatment of coronavirus disease 2019(COVID-19)by network pharmacology.Methods The active ingredients and potential targets in Yiqi Huatan Prescription were searched by traditional Chinese medicine systems pharmacology database and analysis platform.The drug-ingredient-target network was established.GeneCards database was used to screen the related targets of COVID-19,and STRING database was used to analyze the protein-protein interaction of the common targets of COVID-19 and drug action.Gene ontology(GO)analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis were performed using DAVID database.Results A total of 145 active ingredients,267 potential action targets were screened from Yiqi Huatan Prescription,and a total of 251 COVID-19 related targets were screened,56 targets were obtained through the intersection between the ingredient-target and COVID-19 related targets,and ten key targets were identified after topological analysis.GO analysis showed that Yiqi Huatan Prescription was involved in 57 biological processes,11 molecular functions and four cellular components,such as inflammation response,immune response,apoptosis process,positive and negative regulation of apoptosis process,proteins binding,enzymes binding,cytokine activity and so on.KEGG analysis obtained 25 pathways including some infectious diseases such as Chagas disease,hepatitis B,pulmonary tuberculosis and pertussis as well as some signaling pathways such as tumor necrosis factor signaling pathway,Toll-like receptor signaling pathway,and mitogen-activated protein kinase signaling pathway.Conclusion Yiqi Huatan Prescription may have potential therapeutic effect against COVID-19 through synergy of multi-functions,multi-targets and multi-pathways,provides theoretical support and scientific basis for traditional Chinese medicine matching further study and clinical application.

关 键 词：益气化痰 新型冠状病毒肺炎 网络药理学 信号通路 

分 类 号：R285.6[医药卫生—中药学]