Prediction of Treatment Mechanisms of Scutellariae Radix on Viral Pneumonia Through Network Pharmacology: Focus on Hypoxic State Regulation Through HIF-1α and HSP90

J. Shon, Do Kyung Han, Youn Sook Kim, Won Gun An
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Abstract

Objectives: In this study, we used network-based systems pharmacology analysis and molecular docking methods to predict the therapeutic mechanism of Scutellariae Radix on viral pneumonia.Methods: We screened active components of Scutellariae Radix and its’ genes by TCMSP. Also, we extracted viral pneumonia related target genes through Gene Cards, CTD and DisGeNet. To construct Protein-protein Interaction, STRING database was used. For functional enrichment, using SRplot platform, genes were classified by 3 categories: cellular component (CC), molecular function (MF) and biological process (BP). Molecular docking was conducted by AutoDockTools (version 4.2.6).Results: 32 Network-based systematic pharmacology analysis identified 37 target genes associated with baicalein. Based on the network and gene ontology analysis of the active ingredient's target genes and disease target genes, we identified nine core genes (AKT1, BAX, BCL2, CASP3, HIF1A, PTGS2, RELA, TP53, VEGFA) and HSP90 as involved. Notably, HIF1A showed the highest relevance, overlapping with two or more utilized programs. Hypoxia-inducible factor 1-alpha (HIF-1α) has been implicated in the expression of inflammatory cytokines, the induction of hypoxia, and the triggering of cytokine storms. Baicalein, a major component of SR, binds to both HIF-1 α and HSP90, suggesting that it may be a possible targeted treatment for viral pneumonia.Conclusions: Baicalein may bind to HIF-1α to control inflammation caused by viral infectious diseases and may also regulate hypoxic conditions to prevent impairment of lung function caused by an overactive immune system. These findings suggest further research into the molecular mechanisms involved in hypoxia and provide a scientific basis for improving the treatment of viral infectious diseases.
通过网络药理学预测黄芩对病毒性肺炎的治疗机制通过HIF-1α和HSP90调节缺氧状态
研究目的本研究采用基于网络的系统药理学分析和分子对接方法预测黄芩对病毒性肺炎的治疗机制:方法:通过中医药系统药理学方法筛选黄芩中的有效成分及其基因。方法:通过 TCMSP 筛选黄芩中的活性成分及其基因,并通过 Gene Cards、CTD 和 DisGeNet 提取病毒性肺炎相关靶基因。为了构建蛋白质-蛋白质相互作用,我们使用了 STRING 数据库。为了进行功能富集,我们使用 SRplot 平台将基因分为三类:细胞成分(CC)、分子功能(MF)和生物过程(BP)。使用 AutoDockTools(4.2.6 版)进行分子对接:32 基于网络的系统药理学分析确定了 37 个与黄芩苷相关的靶基因。基于有效成分的靶基因和疾病靶基因的网络和基因本体分析,我们确定了九个核心基因(AKT1、BAX、BCL2、CASP3、HIF1A、PTGS2、RELA、TP53、VEGFA)和 HSP90 参与其中。值得注意的是,HIF1A 的相关性最高,与两个或两个以上的利用程序重叠。缺氧诱导因子 1-α(HIF-1α)与炎症细胞因子的表达、缺氧诱导和细胞因子风暴的触发有关。黄芩素是SR的一种主要成分,能与HIF-1 α和HSP90结合,这表明它可能是病毒性肺炎的一种靶向治疗药物:结论:黄芩苷可与 HIF-1α 结合,控制病毒性传染病引起的炎症,还可调节缺氧条件,防止免疫系统过度活跃导致的肺功能损害。这些发现建议进一步研究缺氧的分子机制,为改善病毒性传染病的治疗提供科学依据。
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