基于网络药理学的毛细蒿抗药物性肝损伤的植物活性化学物质及分子机制研究

IF 1.5 4区 医学 Q4 CHEMISTRY, MEDICINAL Current computer-aided drug design Pub Date : 2023-01-01 DOI:10.2174/1573409919666230301092720
Wen Shan, Zhiping Yang, Junzi Huang, Musen Lin, Yan Zhao, Yan Hu, Ran Yan, Xi Wu
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引用次数: 0

摘要

背景:Artemisiae capillariae (Yinchen, YC)是一种众所周知的用于治疗药物性肝脏疾病的中草药,但其生物活性化学物质和药理靶点尚不清楚。目的:研究YC的关键活性成分,探讨YC抗DILI的潜在分子机制。方法:在本研究中,我们首先深入研究YC的活性化学物质和靶点,确定YC潜在的抗aili靶点,绘制组分-靶点网络,进行蛋白-蛋白相互作用(PPI)分析、基因本体(GO)富集和京都基因与基因组百科全书(KEGG)信号通路分析。从而明确了YC对AILI的肝脏保护机制。通过分析关键靶点的分子对接,揭示了成分与靶点的结合域之间的有效相互作用,结合能解释了相互作用的效率和稳定性。结果:网络分析鉴定出53种YC成分;通过系统筛选筛选出13个与123个aili相关基因相关的化合物。核心成分为槲皮素、毛细素和Skrofulein,鉴定出的关键基因为AKT1、TNF和IL6。GO和KEGG通路富集分析结果表明,YC的抗aili靶点主要参与氧化应激和免疫调节,相关信号通路包括PI3K/AKT和IL17。进一步,揭示了YC生物活性成分与关键靶点的结合口袋,并通过分子对接分析证明了其结合能力。结论:本研究揭示了YC在AILI中潜在的生物活性分子及其作用机制,为鉴定抗药物性肝损伤的活性植物化学物质提供了可能的策略。
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Bioactive Phytochemicals and Molecular Mechanisms of Artemisiae capillariae against Drug Induced Liver Injury based on Network Pharmacology.

Background: Artemisiae capillariae (Yinchen, YC) is a well-known herbal medicine used to treat drug-induced liver diseases, while the bioactive phytochemicals and pharmacological targets of YC remain unclear.

Objective: The study aimed to probe the key active components in YC and determine the potential molecular mechanisms of YC protect against DILI.

Methods: In this study, we first delved into the active chemicals and targets of YC, identified potential anti-AILI targets for YC, mapped the components-targets network, performed proteinprotein interaction (PPI) analysis, gene ontology (GO) enrichment, and Kyoto encyclopedia of genes and genomes (KEGG) signaling pathway analyses of the action targets. This led to figure out the liver protective mechanism of YC against AILI. Analyzing the molecular docking of key targets, binding domain of ingredients and targets reveals the effective interaction, and the binding energy explains the efficiency and stability of the interactions.

Results: Network analysis identified 53 components in YC; by systematic screening 13 compounds were selected, which were associated with 123 AILI-related genes. The core ingredients were quercetin, capillarisin and Skrofulein, and the identified crucial genes were AKT1, TNF, and IL6. The GO and KEGG pathway enrichment analysis results indicated that the anti-AILI targets of YC mainly take a part in the regulation of oxidative stress and immune, with related signaling pathways including PI3K/AKT and IL17. Furthermore, the binding pockets of YC bioactive ingredients and key targets were revealed, and the binding ability was proved by molecular docking analysis.

Conclusion: This study has revealed the potential bioactive molecules and mechanism of YC in AILI and provided a possible strategy for the identification of active phytochemicals against druginduced liver injury.

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来源期刊
Current computer-aided drug design
Current computer-aided drug design 医学-计算机:跨学科应用
CiteScore
3.70
自引率
5.90%
发文量
46
审稿时长
>12 weeks
期刊介绍: Aims & Scope Current Computer-Aided Drug Design aims to publish all the latest developments in drug design based on computational techniques. The field of computer-aided drug design has had extensive impact in the area of drug design. Current Computer-Aided Drug Design is an essential journal for all medicinal chemists who wish to be kept informed and up-to-date with all the latest and important developments in computer-aided methodologies and their applications in drug discovery. Each issue contains a series of timely, in-depth reviews, original research articles and letter articles written by leaders in the field, covering a range of computational techniques for drug design, screening, ADME studies, theoretical chemistry; computational chemistry; computer and molecular graphics; molecular modeling; protein engineering; drug design; expert systems; general structure-property relationships; molecular dynamics; chemical database development and usage etc., providing excellent rationales for drug development.
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