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Chinese Journal of Antituberculosis ›› 2022, Vol. 44 ›› Issue (3): 273-283.doi: 10.19982/j.issn.1000-6621.20210572

• Original Articles • Previous Articles     Next Articles

Mechanism of traditional Chinese medicine “Qinbudan” in the treatment of pulmonary tuberculosis based on network pharmacology

ZHUANG Li1, MA Zi-feng1, JIANG Yu-wei1, HUANG Xing1, ZHANG Hui-yong2, LU Zhen-hui1, WU Xian-wei1()   

  1. 1Respiratory Research Institute of Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
    2Pulmonary Disease Section of Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
  • Received:2021-09-26 Online:2022-03-10 Published:2022-03-08
  • Contact: WU Xian-wei E-mail:xwwu2020@163.com
  • Supported by:
    The 13th Five-Year National Science and Technology Major Projects(2018ZX10725-509);The 13th Five-Year National Science and Technology Major Projects(2018ZX10725-509-002-002);National Natural Science Foundation of China(82174286);Shanghai Municipal Science and Technology Commission Project(20Y21900200);Shanghai Municipal Science and Technology Commission Project(21Y21920400);Shanghai Shenkang Hospital Development Center Project(SHDC2020CR2006A);Scientific Research Project of Shanghai University of Traditional Chinese Medicine(2021LK044)

Abstract:

Objective: To explore the mechanism of “Qinbudan” in the treatment of pulmonary tuberculosis using the network pharmacology method. Methods: The effective components and potential targets of Radix Scutellariae, Radix Stemonae radix and Radix salvia were retrieved through TCMSP database. GeneCards, OMIM, TTD, and DrugBank databases were used to obtain targets of pulmonary tuberculosis. The gene name of those targets was standardized based on Unipront, and the protein interaction network of “Qinbudan” in treating pulmonary tuberculosis was generated based on STRING 11.0. The DAVID 6.8 platform was used for functional enrichment and pathway analysis. Cytoscape 3.7.1 software was used to analyze and construct the network of components, targets and pathways of “Qinbudan” in treating pulmonary tuberculosis. Results: Finally, 116 effective chemical components and 199 targets of “Qinbudan” were screened out. The core effective components of “Qinbudan” in treating pulmonary tuberculosis included luteolin, wogonin, baicalein, acacetin, formononetin, β-sitosterol and 7-methoxy-3-methyl-2,5-dihydroxy-9,10-dihydrophenanthrene. And 82 potential targets were involved, and the key targets were TP53, IL6, AKT1, VEGFA, EGFR, PTGS2, JUNP3, STAT3, TNF. A total of 373 biological process terms, 66 molecular function terms and 39 cell composition terms were found by GO enrichment analysis; 108 pathways were found by KEGG pathway analysis, TNF signaling pathway (P<0.001) and apoptosis (P<0.001) were the major pathways, T cell receptor signaling pathway (P<0.001), PI3K-Akt signaling pathway (P<0.001) and tuberculosis (P<0.001) were also included. Conclusion: Multi-component, multi-target and multi-pathway of the mechanism of “Qinbudan” in treating pulmonary tuberculosis were explored based on network pharmacology, which provided some theoretical support for later clinical and basic researches.

Key words: Tuberculosis,pulmonary, Drugs,Chinese herbal, Data mining, Molecular mechanisms of pharmacological action

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