基于网络药理学和分子对接技术探讨参苓白术散“异病同治”慢性阻塞性肺疾病与糖尿病的作用机制

Mechanism of "treating different diseases with the same method" for chronic obstructive pulmonary disease and diabetes with Shenling Baizhu San based on network pharmacology and molecular docking

  • 摘要:
    目的 基于网络药理学和分子对接技术探讨参苓白术散“异病同治”慢性阻塞性肺疾病(COPD)与糖尿病(DM)的作用机制。
    方法 检索综合数据库, 收集参苓白术散的活性成分及其靶点,并进行标准化处理; 从人类基因数据库(GeneCards)、在线人类孟德尔遗传数据库(OMIM)等数据平台收集COPD和DM的相关靶点。利用Evenn软件确定药物与疾病的交集靶点,将其导入STRING数据库构建蛋白质相互作用(PPI)网络,并应用Cytoscape软件进行可视化分析。使用R软件进行基因本体论(GO)功能富集分析和京都基因与基因组百科全书(KEGG)通路富集分析。利用CB-Dock2平台进行分子对接与可视化分析。
    结果 经筛选共获得参苓白术散的215个潜在靶点; 韦恩图分析显示,参苓白术散治疗COPD与DM有70个潜在的交集靶点。关键活性成分包括槲皮素、豆甾醇、山奈酚、谷甾醇和木犀草素等,核心靶点包括肿瘤坏死因子(TNF)、白细胞介素6(IL-6)、白细胞介素1β(IL-1β)、前列腺素内过氧化物合酶2(PTGS2)和肿瘤蛋白p53(TP53)等。GO功能富集分析得到2 599个生物过程条目、49个细胞组成条目和230个分子功能条目; KEGG通路富集分析获得的主要通路包括脂质与动脉粥样硬化、白细胞介素17(IL-17)信号通路、TNF信号通路以及人巨细胞病毒感染等。分子对接结果显示,豆甾醇与PTGS2的对接活性最佳。
    结论 参苓白术散可能通过多成分、多靶点和多途径实现对COPD与DM的“异病同治”,且这2种疾病在治疗机制上存在一定关联,为后续研究提供了理论依据和方向。

     

    Abstract:
    Objective To explore the mechanisms of "treating different diseases with the same method" for chronic obstructive pulmonary disease (COPD) and diabetes mellitus (DM) with Shenling Baizhu San based on network pharmacology and molecular docking.
    Methods Comprehensive databases were searched to collect the active ingredients and targets of Shenling Baizhu San, which were then performed standardized process. Relevant targets for COPD and DM were collected from data platforms such as GeneCards and Online Mendelian Inheritance in Man (OMIM). The intersection targets of the drug and diseases were identified using Venn software, imported into the STRING database to construct a protein-protein interaction (PPI) network, and performed visualized analysis using Cytoscape software. Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed using R software. Molecular docking and visualization analysis were conducted using the CB-Dock2 platform.
    Results After screening, 215 potential targets of Shenling Baizhu San were obtained. Venn diagram analysis showed that there were 70 potential intersection targets for the treatment of COPD and DM with Shenling Baizhu San. Key active ingredients included quercetin, stigmasterol, kaempferol, sitosterol, and luteolin, while core targets included tumor necrosis factor(TNF), interleukin-6(IL-6), interleukin-β(IL-1β), prostaglandin-endoperoxide synthase 2(PTGS2), and tumor protein p53 (TP53). GO functional enrichment analysis yielded 2, 599 biological process terms, 49 cellular component terms, and 230 molecular function terms. The main pathways obtained from KEGG pathway enrichment analysis included lipid and atherosclerosis, interleukin-17 (IL-17) signaling pathway, TNF signaling pathway, and human cytomegalovirus infection. Molecular docking results showed that stigmasterol had the best docking activity with PTGS2.
    Conclusion Shenling Baizhu San may achieve the "treatment of different diseases with the same method" for COPD and DM through multiple components, multiple targets, and multiple pathways, and there is a certain correlation in the treatment mechanisms of two diseases, providing a theoretical basis and direction for subsequent research.

     

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