首页|基于网络药理学探讨中药活性成分在改善矽肺肺泡上皮细胞铁死亡中的潜在机制

基于网络药理学探讨中药活性成分在改善矽肺肺泡上皮细胞铁死亡中的潜在机制

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目的 探讨肺泡上皮细胞铁死亡在矽肺纤维化过程中的作用,并预测可能的中药治疗方法.方法 利用R软件分析GSE30180 数据集样本的差异表达基因(DEGs),自FerrDb 平台获取铁死亡相关基因(FRGs),取二者交集.通过 String 数据库构建蛋白质-蛋白质相互作用网络(PPI),利用Cytoscape软件进一步筛选 Hub 基因,利用Coremine数据库预测与上述关键基因相关的中药,并通过TCMSP数据库确定其活性成分.结果 本研究确定了 10 个矽肺纤维化过程中与肺泡上皮细胞铁死亡相关的DEGs,其中IL-6、PTGS2、EGR1 为核心基因.本研究预测了 16 种与 3 个核心基因密切相关的可能治疗矽肺纤维化的中药,包括丹参、柴胡、鸦胆子、黄莲等,分子对接分析显示关键活性成分(-)-表没食子儿茶素没食子酸酯与 3 个核心基因有交互作用.结论 本研究初步探讨了肺泡上皮细胞铁死亡在矽肺纤维化中的潜在作用,并提出了可能的中药治疗策略.
Exploring the potential mechanism of active components of traditional Chinese medicine in improving ferroptosis of alveolar epithelial cells in silicosis based on network pharmacology
Objective To explore the role of ferroptosis in alveolar epithelial cells during silico-sis fibrosis and predict possible traditional Chinese medicine(TCM)treatment methods.Methods The differentially expressed genes(DEGs)in GSE30180 dataset samples were analyzed using R soft-ware,and ferroptosis-related genes(FRGs)were obtained from the FerrDb platform.The intersec-tion of the two sets of genes was taken.Protein-protein interaction networks(PPI)were constructed using the String database,and hub genes were further screened using Cytoscape software.TCMs re-lated to the above key genes were predicted using the Coremine database,and their active ingredients were determined through the TCMSP database.Results In this study,10 DEGs related to ferroptosis in alveolar epithelial cells during silicosis fibrosis were identified,with IL-6,PTGS2,and EGR1 as the core genes.Sixteen potential TCMs closely related to the three core genes were predicted,inclu-ding Salvia miltiorrhiza,Bupleurum chinense,Brucea javanica,and Coptis chinensis.Molecular doc-king analysis showed that the key active ingredient(-)-epigallocatechin gallate interacted with the three core genes.Conclusion This study preliminarily explored the potential role of ferroptosis in alveolar epithelial cells during silicosis fibrosis and proposed possible TCM treatment strategies.

SilicosisFerroptosisBioinformatics

王永恒、赵玉涵、刘义民、胡佳浩、周文欣、关毅、李爽、李宁、王佳文、姚三巧

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华北理工大学公共卫生学院 河北唐山 063210

新乡医学院

矽肺 铁死亡 生物信息学

国家自然科学基金国家自然科学基金河北省科技厅中央引导地方科技发展专项

U21A2033482373544236Z7705G

2024

华北理工大学学报(医学版)
河北联合大学

华北理工大学学报(医学版)

影响因子:0.569
ISSN:2095-2694
年,卷(期):2024.26(2)
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