首页|期刊导航|中医临床研究|基于GEO数据库、网络药理学和分子动力学模拟探究御寒汤治疗过敏性鼻炎的作用机制

基于GEO数据库、网络药理学和分子动力学模拟探究御寒汤治疗过敏性鼻炎的作用机制OA

Exploring the mechanism of action of Yu Han Tang in the treatment of allergic rhinitis based on GEO database,network pharmacology and molecular dynamics simulation

中文摘要英文摘要

目的:基于网络药理学探究御寒汤治疗过敏性鼻炎的作用机制.方法:采用TCMSP数据库检索御寒汤的活性成分和作用靶点.通过UniProt数据库将靶点转化为基因符号.通过GeneCards、OMIM、TTD、DrugBank数据库检索出过敏性鼻炎的相关靶点.通过CytoScape构建调控网络,STRING数据库构建蛋白质-蛋白质相互作用网络,并筛选出核心基因.使用机器学习进一步筛选核心基因.利用R语言进行基因本体论(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AutoDockVina 1.1.2对核心成分与核心靶点进行分子对接验证,选取结合能最低的结果进行分子动力学模拟.使用CIBERSORT(R包)进行免疫浸润分析,并分析核心基因与免疫细胞的相关性.最后,通过单细胞分析鉴定出主要的细胞亚群及核心基因的分布和表达.结果:共筛选出200个活性成分和250个潜在靶点,过敏性鼻炎相关靶点2 546个,取交集后得出120个潜在靶点.核心靶点主要为凋亡调节因子BcL-2(B-cell lymphoma-2,BcL-2)、雌激素受体1(estrogen receptor 1,ESRI)、干扰素γ(interferon gamma,IFNG)、白细胞介素(interleukin,IL)-4、丝裂原活化蛋白激酶(mitogen-activatedprotein kinase,MAPK)14、核转录因子-κB 抑制蛋白 α(nuclear factor-κB inhibitor alpha,NFKBIA)、信号转导与转录激活因子(signal transducer and activator of transcription,STAT)3等.通过药物-活性成分-靶点网络得出核心成分槲皮素、山柰酚、木犀草素、7-O-甲基-异微凸剑叶莎醇、β-谷甾醇、汉黄芩素等.GO富集分析显示,涉及细菌来源分子的反应、薄膜筏等.KEGG通路富集分析表明主要与 IL-17、肿瘤坏死因子(tumor necrosis factor,TNF)、缺氧诱导因子-1(hypoxia inducible factor-1,HIF-1)信号通路有关.分子对接显示核心成分均能自发地与核心靶点结合,分子动力学模拟表明木犀草素能够稳定地与靶点蛋白ESR1结合.结论:御寒汤可通过多成分、多靶点、多通路治疗过敏性鼻炎.

Objective:To investigate the mechanism of action of Yu Han Tang(御寒汤)for the treatment of allergic rhinitis(AR)based on GEO database,network pharmacology and molecular dynamics simulation.Methods:TCMSP database was used to search the active ingredients and targets of Yu Han Tang.The targets were converted into gene symbols by UniProt database,and the related targets of AR were retrieved by GeneCards,OMIM,TTD,and DrugBank databases.The regulatory network was constructed by CytoScape,the PPI network was constructed by STRING database,and the core genes were screened.The core genes were further screened using machine learning.GO and KEGG enrichment analysis was performed using R language.Molecular docking validation of core components and core targets was performed using AutoDockVina 1.1.2,and the results with the lowest binding energy were selected for molecular dynamics simulation.Immune infiltration analysis was performed using the CIBERSORT(R package),and the correlation between core genes and immune cells was analyzed.Finally,the distribution and expression of major cell subpopulations and core genes were identified by single-cell analysis.Results:A total of 200 active ingredients and 250 potential targets were screened,2 546 allergic rhinitis-related targets were identified,and 120 potential targets were derived after taking the intersection.The core targets were mainly BcL-2,ESRI,IFNG,IL-4,MAPK14,NFKBIA,and STAT3.Drug-Active Ingredient-Target network yielded core ingredients mainly quercetin,kaempferol,luteolin,7-O-methylisomucronulatol,β-sitosterol,wogonin,etc.GO enrichment analysis showed reactions involving response to molecule of bacterial origin,membrane raft,etc.KEGG pathway enrichment analysis showed mainly related to IL-17,TNF,HIF-1 signaling pathways.Molecular docking showed that all the core components could spontaneously bind to target,and molecular dynamics simulation indicated that luteolin could stably bind to the target protein ESRI.Conclusion:Yu Han Tang can treat AR through multi-component,multi-target and multi-pathway.

海呼斯冷;蔡佳丽

天津中医药大学,天津,301617天津中医药大学,天津,301617

医药卫生

御寒汤过敏性鼻炎网络药理学

Yu Han TangAllergic rhinitisNetwork pharmacology

《中医临床研究》 2026 (11)

13-24,12

天津市教委科研计划项目(2023KJ129).

10.3969/j.issn.1674-7860.2026.11.002

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