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Network pharmacological study of Qingfei Paidu Decoction intervening on cytokine storm mechanism of COVID-19

机译:清肺排毒汤干预COVID-19细胞因子风暴机制的网络药理研究

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摘要

Objective:To explore the possible mechanism of Qingfei Paibu Decoction in the treatment of COVID-19 from the perspective of cytokine storm by network pharmacology.Methods: The TCMSP and SymMap databases were used to screen out the active components and targets of Qingfei Paibu Decoction;The GeneCards database was used to screen the predicted targets of COVID-19;Two targets were mapped;The STRING database and Cytoscape3.7.2 software were used to construct the network diagram of active drag-ingredient-target and screen out the core components and targets;The GO enrichment analysis and KEGG pathway enrichment analysis were carried out by OmicShare cloud platform and David respectively.Results:A total of 52 potential targets of Qingfei Paibu Decoction for the treatment of COVID-19 were obtained, among which 17 were core targets related to inflammation, mainly including cytokines such as IL, IFN, TNF and chemokines. And 26 core components were obtained, including quercetin, luteolin, kaempferol, naringenin, and baicalein;The GO enrichment results showed 224 biological processes, 15 molecular functions and 33 cell components related to inflammation;There were 5 inflammatory signaling pathways in KEGG enrichment results, including TNF signaling pathway, Nod-like receptor signaling pathway, Toll-like receptor signaling pathway, MAPK signaling pathway and cytokine receptor interaction. Conclusion: Qingfei Paibu Decoction can inhibit cytokine storms by acting on multiple targets and pathways with multiple components and thus treat COVID-19.
机译:目的:从网络药理学探讨Qingfei Paibu汤治疗Covid-19治疗Covid-19的可能机制。方法:TCMSP和Symmap数据库用于筛分Qingfei Paibu汤的活性成分和目标; Genecards数据库用于筛选CoVID-19的预测目标;映射了两个目标;字符串数据库和Cytoscape3.7.2软件用于构造主动拖动成分 - 目标的网络图并筛选核心组件和目标;通过OMICSHARE云平台和大卫进行GO浓缩分析和KEGG途径分析。结果:获得了治疗Covid-19的Qingfei Paibu汤的总共52个潜在目标,其中17例有关的核心目标炎症,主要包括细胞因子,如IL,IFN,TNF和趋化因子。获得了26种核心组分,包括槲皮素,叶黄素,kaempferol,芽孢素素和黄芩素;致富集结果显示224个生物学过程,15种分子功能和33种与炎症有关的细胞组分; Kegg浓缩结果中有5例炎症信号传导途径,包括TNF信号传导途径,点状受体信号传导途径,Toll样受体信号传导途径,MAPK信号通路和细胞因子受体相互作用。结论:Qingfei Paibu汤可以通过用多个组分作用于多个靶标和途径来抑制细胞因子暴风雨,从而治疗Covid-19。

著录项

  • 来源
    《海南医科大学学报(英文版)》 |2020年第010期|P.1-7|共7页
  • 作者单位

    Department of Anatomy Beijing University of Chinese Medicine Beijing 102488 China;

    Department of Anatomy Beijing University of Chinese Medicine Beijing 102488 China;

    Department of Anatomy Beijing University of Chinese Medicine Beijing 102488 China;

    Department of Anatomy Beijing University of Chinese Medicine Beijing 102488 China;

    Department of Anatomy Beijing University of Chinese Medicine Beijing 102488 China;

    Department of Anatomy Beijing University of Chinese Medicine Beijing 102488 China;

    Department of Anatomy Beijing University of Chinese Medicine Beijing 102488 China;

    Department of Anatomy Beijing University of Chinese Medicine Beijing 102488 China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 中药学;
  • 关键词

    Qingfei Paibu Decoction; COVID-19; Cytokine storm; Network pharmacology; Core targets;

    机译:清肺排瘀汤;COVID-19;细胞因子风暴;网络药理;核心靶点;
  • 入库时间 2022-08-19 04:45:48
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