山东科学 ›› 2020, Vol. 33 ›› Issue (5): 14-26.doi: 10.3976/j.issn.1002-4026.2020.05.002

• 新冠肺炎防控 • 上一篇    下一篇

基于网络药理学探讨黄芪六君子汤治疗新冠肺炎恢复期的作用机制

汪宗清1,聂红科1,李青璇1,王兴强2,汤小虎1,2*    

  1. 1.云南中医药大学,云南 昆明 650500;2.云南中医药大学第一附属医院, 云南 昆明 650032
  • 收稿日期:2020-04-16 出版日期:2020-10-08 发布日期:2020-09-27
  • 通信作者: 汤小虎,教授,博士生导师,研究方向为中医药防治风湿免疫性疾病及方剂学。Tel:0871-63639262,E-mail:tigerlet_tcm@126.com
  • 作者简介:汪宗清(1995—),女,硕士研究生,研究方向为中医药防治风湿免疫性疾病。Tel:18469117341,E-mail:wangzongqing1909@126.com
  • 基金资助:
    2015年度中医药行业科研专项(201507001-07);国家自然科学基金(81060285);云南省卫生科技计划(2017NS165)

Mechanism of Huangqi Liujunzi decoction in treating the recovery stage of COVID-19 based on network pharmacology

WANG Zong-qing1,NIE Hong-ke1,LI Qing-xuan1,WANG Xing-qiang2,TANG Xiao-hu1,2*   

  1. 1.Yunnan University of Traditional Chinese Medicine, Kunming 650500,China;2.Yunnan Provincial Hospital of
     Traditional Chinese Medicine, Kunming 65003,China
  • Received:2020-04-16 Online:2020-10-08 Published:2020-09-27

摘要: 基于网络药理学探讨黄芪六君子汤治疗新冠肺炎的作用机制。利用TCMSP、Pubchem、Swiss Target Prediction数据库挖掘黄芪六君子汤中的中药所含化学成分及作用靶点,并经Uniprot数据库标准化,通过GeneCards数据库获得新冠肺炎相关基因,将疾病与药物的靶点进行映射取交集,从STRING数据库下载蛋白-蛋白相互作用(PPI)数据,借助Cytoscape软件构建活性成分-靶点的可视化网络图、蛋白互作网络,筛选出核心靶点,利用R语言进行GO功能和KEGG通路富集分析,并通过Cytoscape软件构建靶点-通路网络。结果表明,筛选得到145个化合物及相应靶点1618个,关键成分包括木犀草素、山柰酚、川皮苷、柚皮素、黄芩素、金合欢素等,关键靶点包括丝裂原活化蛋白激酶1/3/8/14、半胱氨酸天冬氨酸蛋白酶3/8、白介素6/1β、白蛋白,细胞凋亡调节蛋白、人前列腺素内过氧化物合酶2、原癌基因、RELA原癌基因等。GO功能富集分析显示生物学过程1421条,分子功能63条,细胞组成36条;KEGG通路富集分析显示41条通路,主要涉及PI3K-Akt信号通路、细胞凋亡、内分泌阻力、MAPK 信号通路、Toll样受体信号通路、破骨细胞分化等。研究认为黄芪六君子汤可能通过抗病毒、抗炎、免疫调节等作用机制对新冠肺炎发挥治疗作用。

关键词: 黄芪六君子汤, 新冠肺炎, 网络药理学, 抗病毒, 抗炎

Abstract: We aimed to investigate the mechanism of Huangqi Liujunzi decoction in the treatment of COVID-19 based on Network Pharmacology.The chemical components and targets of Huangqi Liujunzi decoction were collected from the databases of TCMSP, Pubchem, and Swiss Target Prediction and standardized using the Uniprot database.COVID-19 related genes were obtained by the GeneCards database,and we further mapped the common genes of disease and drugs.The protein-protein interaction data were downloaded from the STRING database, and the components-key targets visual network graph and protein interaction network were constructed using Cytoscape software to screen out the core targets.The GO function and KEGG pathway enrichment were analyzed by R language algorithm, and the target-pathway network was constructed using Cytoscape software.The results showed that 145 compounds and 1618 corresponding targets were screened. The key active components included luteolin,kaempferol,nobiletin,naringenin,baicalein, and acacetin.The key targets included MAPK1/3/8/14,CASP3/8,IL6/1β,ALB,apoptosis regulatory protein,PTGS2,protooncogene, and protooncogene of REL.GO function enrichment analysis included 1421 biological processes, 63 molecular functions, and 36 cell components;KEGG pathway enrichment analysis revealed 41 pathways, including PI3K-Akt signaling pathway, apoptosis, endocrine resistance,MAPK signaling pathway,Toll-like receptor signaling pathway,and osteoclast differentiation.Huangqi Liujunzi Decoction has a therapeutic effect on COVID-19 through antiviral, anti-inflammatory, and immune regulation mechanisms. 

Key words: Huangqi Liujunzi decoction, COVID-19, network pharmacology, antiviral, anti-inflammatory

中图分类号: 

  • R285