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基于网络药理学与分子对接研究肺力咳合剂治疗支原体肺炎的作用机制OACSTPCD

Mechanism of Feilike mixture in treating mycoplasma pneumoniae pneumonia based on network pharmacology and molecular docking

中文摘要英文摘要

目的:肺力咳合剂是临床治疗支原体肺炎(mycoplasma pneumoniae pneumonia,MPP)的中成药,但作用机制尚未被阐明.本研究基于网络药理学与分子对接研究肺力咳合剂治疗MPP的作用机制.方法:通过中药系统药理学数据库与分析平台(Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform,TCMSP)结合相关文献筛选出药材的活性成分和靶蛋白,利用DisGeNET、Genecards、比较毒物基因组学数据库(Comparative Toxicogenonmics Database,CTD)等数据库查找疾病相关基因.获得交集基因后构建蛋白质-蛋白质相互作用(protein-protein interaction,PPI)网络,针对PPI网络进行网络拓扑分析和靶点筛选,从而获得肺力咳合剂治疗MPP的关键靶点,并进行基因本体(Gene Ontology,GO)和京都基因和基因组数据库(Kyoto Encyclopedia of Genes and Genomes,KEGG)富集分析.综合上述信息,构建药材-成分-靶点-通路-疾病网络,以探讨肺力咳合剂治疗MPP的作用机制.最后,采用分子对接验证网络中的关键成分和关键靶点.选择60例MPP患儿为研究对象,随机分为观察组和对照组(各30例),2组均给予阿奇霉素治疗,观察组在此基础上给予肺力咳合剂治疗,观察治疗对白细胞介素(interleukin,IL)-17信号通路相关炎症因子的影响.结果:共获得肺力咳合剂成分73种,靶点364个,MPP靶点437个和交集基因92个.肺力咳合剂治疗MPP的52个主要靶点包括RAC-α丝氨酸/苏氨酸蛋白激酶(RAC-alpha serine/threonine-protein kinase,AKT1)、IL-6、肿瘤坏死因子-α(tumor necrosis factor α,TNF-α)、细胞肿瘤抗原p53(cellular tumor antigen p53,TP53)等,它们参与氧化应激反应与细胞增殖、分化、凋亡过程的调控,主要通过IL-17信号通路、TNF-α信号通路、Th17细胞分化等信号通路影响MPP的治疗.分子对接结果显示:大多数分子与蛋白质对接的结合能力较好,结合能力小于-7 kcal/mol(1 kcal/mol=4.184 kJ/mol),其中丹参酮IIA与AKT1的结合能力最强(-11.9 kcal/mol).治疗前2组患儿IL-17、IL-6、TNF-α水平差异均无明显统计学意义(均P>0.05),而治疗后与对照组比较,观察组患者IL-17、IL-6、TNF-α水平差异均有统计学意义(均P<0.05).结论:肺力咳合剂治疗MPP具有多成分、多靶点、多途径的作用规律,可能通过槲皮素、汉黄芩素、丹参酮IIA、谷甾醇、阿魏酸等主要成分作用于AKT1、IL-6、TNF-α等靶点,从而作用于IL-17等信号通路发挥其多成分、多靶点、多通路的治疗优势.

Objective:Feilike(FLK)mixture is a traditional Chinese medicine used clinically for the treatment of mycoplasma pneumoniae pneumonia(MPP),but its mechanism of action is not yet clarified.This study aims to explore the mechanism of action of FLK mixture in treating MPP using network pharmacology and molecular docking methods. Methods:Active components and target proteins of the medicine were identified through the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)database combined with related literature.Disease-related genes were found using databases such as DisGeNET,Genecards,and Comparative Toxicogenonmics Database(CTD).After obtaining intersecting genes,a protein-protein interaction(PPI)network was constructed,followed by network topology analysis and target screening to identify key targets for the treatment of MPP using the FLK mixture.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were conducted.A comprehensive material-component-target-disease network was constructed to explore the mechanism of action of the FLK mixture in treating MPP.Key components and targets in the network were validated through molecular docking.The study involved 60 children with MPP,randomly divided into an observation group and a control group(n=30 in each group).Both groups received azithromycin treatment,and the observation group additionally received the FLK mixture treatment to observe the effects on inflammatory factors related to the interleukin(IL)-17 signaling pathway. Results:A total of 73 components of the FLK mixture,364 targets,437 MPP targets,and 92 intersecting genes were identified.Analysis revealed 52 main targets in the treatment of MPP by the FLK mixture,including RAC-alpha serine/threonine-protein kinase(AKT1),IL-6,tumor necrosis factor α(TNF-α),and cellular tumor antigen p53(TP53),which are involved in the regulation of oxidative stress response and the processes of cell proliferation,differentiation,and apoptosis,mainly affecting the treatment of MPP through IL-17,TNF-α signal pathways,and Th17 cell differentiation.Molecular docking results showed that most molecules bind well with proteins,with binding energies less than-7 kcal/mol(1 kcal/mol=4.184 kJ/mol),with the strongest being tanshinone IIA to AKT1,at-11.9 kcal/mol.Before treatment,there were no significant differences in levels of IL-17,IL-6,and TNF-α between the 2 groups(all P>0.05),but after treatment,significant differences were found in the observation group compared to the control group(all P<0.05). Conclusion:The FLK mixture treats MPP through a multi-component,multi-target,and multi-pathway approach,potentially acting on targets such as AKT1,IL-6,and TNF-α through key components such as quercetin,baicalin,tanshinone IIA,beta-sitosterol,and ferulic acid,thereby acting the IL-17 signaling pathway and demonstrating its therapeutic advantages.

杜博英;刘杰;马维维

石家庄市第二医院儿科,石家庄 050051保定市徐水区妇幼保健院儿科,河北 保定 072550石家庄市第二医院院前急救科,石家庄 050051

网络药理学分子对接肺力咳合剂支原体肺炎

network pharmacologymolecular dockingFeilike mixturemycoplasma pneumoniae pneumonia

《临床与病理杂志》 2024 (002)

157-168 / 12

河北省中医药管理局科研计划项目(2022489).This work was supported by the Scientific Research Plan Project of the Traditional Chinese Medicine Administration of Hebei Province,China(2022489).

10.11817/j.issn.2095-6959.2024.230115

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