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中国防痨杂志 ›› 2026, Vol. 48 ›› Issue (5): 677-686.doi: 10.19982/j.issn.1000-6621.20260041

• 论著 • 上一篇    下一篇

基于网络药理学探讨透脓散治疗脓肿型淋巴结结核的作用机制

杨斌1, 曹玉清2, 宗星煜2, 王潮虹1, 赵丽萍1, 苏达宏1, 龚蒙萌2, 马艳2, 施亦衡1, 林威兵1, 赵金凤1, 程思敏1, 苗甜甜1, 王桂荣1()   

  1. 1首都医科大学附属北京胸科医院/北京市结核病胸部肿瘤研究所检验科, 北京 101149
    2中国中医科学院中医临床基础医学基础所疫病防治研究室, 北京 100700
  • 收稿日期:2026-01-20 出版日期:2026-05-10 发布日期:2026-04-27
  • 通信作者: 王桂荣 E-mail:wangguirong1230@ccmu.edu.cn
  • 基金资助:
    北京市医疗卫生领域高层次创新创业人才“青苗计划”(G202522153);北京市通州区科技计划项目(WS2024045)

Mechanism of Tounong San in abscess-type lymph node tuberculosis treatment using network pharmacology

Yang Bin1, Cao Yuqing2, Zong Xingyu2, Wang Chaohong1, Zhao Liping1, Su Dahong1, Gong Mengmeng2, Ma Yan2, Shi Yiheng1, Lin Weibing1, Zhao Jinfeng1, Cheng Simin1, Miao Tiantian1, Wang Guirong1()   

  1. 1Department of Clinical Laboratory, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing 101149, China
    2Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
  • Received:2026-01-20 Online:2026-05-10 Published:2026-04-27
  • Contact: Wang Guirong E-mail:wangguirong1230@ccmu.edu.cn
  • Supported by:
    “Young Talent Program” for High-Level Innovative and Entrepreneurial Talents in the Medical and Health Field in Beijing(G202522153);Beijing Tongzhou Municipal Science and Technology Commission(WS2024045)

摘要:

目的: 运用网络药理学方法探讨透脓散治疗脓肿型淋巴结结核的作用机制。方法: 通过中药系统药理学数据库与分析平台(TCMSP)检索透脓散的活性成分及其潜在作用靶点;利用GeneCards和OMIM数据库获取脓肿型淋巴结结核相关靶点,并与透脓散靶点取交集获取共同靶点。运用DAVID 6.8平台进行基因本体(gene ontology,GO)功能富集分析和京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)通路富集分析。借助STRING 11.5平台构建蛋白质相互作用(protein protein interaction, PPI)网络,并利用Cytoscape 3.9.1软件对透脓散“活性成分-作用靶点”网络进行可视化与分析。结果: 经筛选共获得透脓散与脓肿型淋巴结结核共同靶点72个,富集分析表明,透脓散可能通过调控细胞凋亡、氧化应激反应等相关信号通路发挥治疗作用,AKT1TP53ALBCASP3等基因可能是关键靶点。结论: 透脓散可能通过调控AKT1TP53ALBCASP3等关键靶点基因的表达,治疗脓肿型淋巴结结核,为临床和基础研究提供参考。

关键词: 结核, 淋巴结, 药理作用分子作用机制, 透脓散, 网络药理学

Abstract:

Objective: To explore the underlying molecular mechanism of Tounong San in abscess-type lymph node tuberculosis treatment using network pharmacology. Methods: The active components and potential target of Tounong San were searched and screened by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). These genes were mapped with the abscess-type lymph node tuberculosis related genes obtained by Genecards and OMIM database, thereby obtaining inter section targets. The String 11.5 database and Cytoscape 3.9.1 software were used to construct the protein-protein interaction (PPI) network and the active ingredient-core target network. Then, gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis of core target genes were carried out by using DAVlD 6.8 platform. Using the DAVID database, we performed intersection target gene ontology functional enrichment analysis and signaling pathway enrichment analysis of the Kyoto gene and genome database. Results: A total of 72 effective drug targets were screened out. Enrichment analysis indicated that the signaling pathways involved in Tounong San in abscess-type lymph node tuberculosis treatment were cell apoptosis and oxidative stress response signaling pathways. AKT1, TP53, ALB and CASP3 might be the key genes in Tounong San-mediated abscess-type lymph node tuberculosis treatment. Conclusion: Tounong San may influence AKT1, TP53, ALB and CASP3 gene expression, to achieve the purpose of treating abscess-type lymph node tuberculosis.

Key words: Tuberculosis, lymph node, Molecular mechanisms of pharmacological action, Tounong San, Network pharmacology

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