The pharmacological mechanism of Huashi Baidu Formula for the treatment of COVID-19 by combined network pharmacology and molecular docking

被引:28
|
作者
Cai, Yu [1 ,2 ]
Zeng, Min [1 ,2 ]
Chen, Yun-Zhong [1 ,2 ]
机构
[1] Hubei Univ Chinese Med, Coll Pharm, Wuhan 430065, Peoples R China
[2] Inst Engn Technol Chinese Tradit Med & Hlth Food, Wuhan, Peoples R China
关键词
Coronavirus disease 2019 (COVID-19); severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Huashi Baidu Formula (HSBDF); network pharmacology; signaling pathway; molecular docking; TRADITIONAL CHINESE MEDICINE; DRUG DISCOVERY; ELLAGIC ACID; CYTOKINE; PROTEIN; PNEUMONIA; RESOURCE; DATABASE; CASCADE; MODELS;
D O I
10.21037/apm-20-1759
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Huashi Baidu Formula (HSBDF) is a traditional Chinese medicine formula consisting of fourteen parts, which has been proven effective for treating coronavirus disease 2019 (COVID-19) clinically. However, the therapeutic mechanism of the effect of HSBDF on COVID-19 remains unclear. Methods: The components and action targets of HSBDF were searched in the TCMSP, YaTCM, PubChem, and TargetNet databases. Disease targets related to ACE2 were screened in single-cell sequence data of colon epithelial cells from other reports. The therapeutic targets of HSBDF for COVID-19 were obtained by integrated analysis, and the protein-protein interaction was analyzed using the STRING database. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) processes were analyzed using the OmicsBean and Metascape databases. The communication between networks [component-target (C-T) network, component-target-pathway (C-T-P) network, herb-target (H-T) network, target-pathway (T-P) network, and meridian-tropism (M-T) network] was constructed by Cytoscape software. The Cloud computing molecular docking platform was used to verify the molecular docking. Results: The obtained 223 active ingredients and 358 targets of HSBDF. The 5,555 COVID-19 disease targets related to ACE2 were extracted, and 84 compound-disease common targets were found, of which the principal targets included ACE, ESR1, ADRA1A, and HDAC1. A total of 3,946 items were seized by GO enrichment analysis, mainly related to metabolism, protein binding, cellular response to the stimulus, and receptor activity. The enriched KEGG pathways screened 46 signaling pathways, including the reninangiotensin system, the renin secretion, NF-kappa B pathway, the arachidonic acid metabolism, and the AMPK signaling pathway. The molecular docking results showed that the bioactive components of HSBDF have an excellent binding ability with main proteins related to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Conclusions: HSBDF might act on SARS-CoV-2 through multiple components, targets, and pathways. Here we reveal preliminary results of the mechanism of action of HSBDF on SARS-CoV-2, providing a theoretical basis for future clinical applications.
引用
收藏
页码:3864 / +
页数:36
相关论文
共 50 条
  • [1] Network pharmacology and molecular docking analysis on molecular targets and mechanisms of Huashi Baidu formula in the treatment of COVID-19
    Tao, Quyuan
    Du, Jiaxin
    Li, Xiantao
    Zeng, Jingyan
    Tan, Bo
    Xu, Jianhua
    Lin, Wenjia
    Chen, Xin-lin
    DRUG DEVELOPMENT AND INDUSTRIAL PHARMACY, 2020, 46 (08) : 1345 - 1353
  • [2] Investigating the active compounds and mechanism of HuaShi XuanFei formula for prevention and treatment of COVID-19 based on network pharmacology and molecular docking analysis
    Wang, Juan
    Ge, Wen
    Peng, Xin
    Yuan, Lixia
    He, Shuaibing
    Fu, Xuyan
    MOLECULAR DIVERSITY, 2022, 26 (02) : 1175 - 1190
  • [3] Investigating the active compounds and mechanism of HuaShi XuanFei formula for prevention and treatment of COVID-19 based on network pharmacology and molecular docking analysis
    Juan Wang
    Wen Ge
    Xin Peng
    Lixia Yuan
    Shuaibing He
    Xuyan Fu
    Molecular Diversity, 2022, 26 : 1175 - 1190
  • [4] Mechanism of Hanshi Zufei formula in treatment of COVID-19 based on network pharmacology and molecular docking technology
    刘建滔
    ChinaMedicalAbstracts(InternalMedicine), 2021, 38 (02) : 75 - 76
  • [5] Analyzing the potential therapeutic mechanism of Huashi Baidu Decoction on severe COVID-19 through integrating network pharmacological methods
    Zhu, Yi-Wei
    Yan, Xiao-Feng
    Ye, Ting-Jie
    Hu, Jing
    Wang, Xiao-Ling
    Qiu, Feng-Jun
    Liu, Cheng-Hai
    Hu, Xu-Dong
    JOURNAL OF TRADITIONAL AND COMPLEMENTARY MEDICINE, 2021, 11 (02): : 180 - 187
  • [6] Study on mechanism of matrine in treatment of COVID-19 combined with liver injury by network pharmacology and molecular docking technology
    Liu, Fangzhou
    Li, Yuanbai
    Yang, Yang
    Li, Meng
    Du, Yu
    Zhang, Yiying
    Wang, Jing
    Shi, Yujing
    DRUG DELIVERY, 2021, 28 (01) : 325 - 342
  • [7] Network pharmacology and molecular docking analysis reveals the mechanism of asiaticoside on COVID-19
    Huang, Jia
    Zhou, Xiaobo
    Gong, Yiyi
    Chen, Jun
    Yang, Yali
    Liu, Ke
    ANNALS OF TRANSLATIONAL MEDICINE, 2022, 10 (04)
  • [8] The therapeutic efficacy of Huashi Baidu Formula combined with antiviral drugs in the treatment of COVID-19 A protocol for systematic review and meta-analysis
    Han, Lizhu
    Wang, Yunlan
    Hu, Kunxia
    Tang, Zhishu
    Song, Xiao
    MEDICINE, 2020, 99 (42) : E22715
  • [9] Network Pharmacology and Molecular Docking Combined to Analyze the Molecular and Pharmacological Mechanism of Pinellia ternata in the Treatment of Hypertension
    Zhai, Zhaowei
    Tao, Xinru
    Alami, Mohammad Murtaza
    Shu, Shaohua
    Wang, Xuekui
    CURRENT ISSUES IN MOLECULAR BIOLOGY, 2021, 43 (01) : 65 - 78
  • [10] Molecular mechanism prediction analysis of compound Kushen injection in the treatment of COVID-19 based on network pharmacology and molecular docking
    Zhang, Wan-Ying
    Chen, Ying
    Zhang, Miao-Miao
    Zhang, Guo-Wei
    TRADITIONAL MEDICINE RESEARCH, 2020, 5 (05): : 413 - 424