叶晨, 江雯, 胡熳, 张艳, 刘钰偲, 梁继超*, 陈勇*. 水飞蓟黄酮提取物治疗非酒精性脂肪肝病的网络药理学研究J. 药学学报, 2022,57(2): 399-408. doi: 10.16438/j.0513-4870.2021-1254
引用本文: 叶晨, 江雯, 胡熳, 张艳, 刘钰偲, 梁继超*, 陈勇*. 水飞蓟黄酮提取物治疗非酒精性脂肪肝病的网络药理学研究J. 药学学报, 2022,57(2): 399-408. doi: 10.16438/j.0513-4870.2021-1254
YE Chen, JIANG Wen, HU Man, ZHANG Yan, LIU Yu-cai, LIANG Ji-chao*, CHEN Yong*. Network pharmacology study of flavone extracts of Silybum marianum in the treatment of nonalcoholic fatty liver diseaseJ. Acta Pharmaceutica Sinica, 2022,57(2): 399-408. doi: 10.16438/j.0513-4870.2021-1254
Citation: YE Chen, JIANG Wen, HU Man, ZHANG Yan, LIU Yu-cai, LIANG Ji-chao*, CHEN Yong*. Network pharmacology study of flavone extracts of Silybum marianum in the treatment of nonalcoholic fatty liver diseaseJ. Acta Pharmaceutica Sinica, 2022,57(2): 399-408. doi: 10.16438/j.0513-4870.2021-1254

水飞蓟黄酮提取物治疗非酒精性脂肪肝病的网络药理学研究

Network pharmacology study of flavone extracts of Silybum marianum in the treatment of nonalcoholic fatty liver disease

  • 摘要: 基于网络药理学及分子对接探讨水飞蓟中主要黄酮类活性成分对非酒精性脂肪肝病(nonalcoholic fatty liver diseases,NAFLD)的治疗作用及分子机制。通过TCMSP、PubChem数据库及文献调研确定水飞蓟中9种黄酮成分为研究对象,借助SwissTargetPrediction、GeneCards、Venny 2.1.0平台预测这9种成分与NAFLD之间的潜在治疗靶点。利用String平台和Cytoscape软件对潜在靶点进行蛋白-蛋白相互作用(PPI)网络分析,基于DAVID 6.8数据库对潜在靶点进行GO和KEGG通路富集分析,使用AutoDock软件模拟分子对接验证。体外实验选取"成分-靶点-通路"网络图中度值较大的组分,以L02细胞为研究对象建立脂质堆积模型并给药处理,根据油红O染色结果来衡量药物分子对脂代谢的积极作用。结果筛选得到水飞蓟主要黄酮成分治疗NAFLD的作用靶点共24个,通过KEGG富集分析筛选得到与NAFLD进程密切相关通路,包括磷脂酰肌醇3-激酶-蛋白激酶B(PI3K-Akt)通路、2型糖尿病通路、肿瘤坏死因子(TNF)通路及胰岛素抵抗通路等。分子对接结果表明,这些核心成分均能与靶蛋白自发进行结合,其中水飞木质灵有较好的结合能力。体外实验表明,异水飞蓟宾A、异水飞蓟宾B、水飞蓟宁、水飞蓟亭能减少细胞内的脂质堆积,且异水飞蓟宾B构型效果优于A构型。综上,本研究从网络药理学角度验证水飞蓟黄酮提取物以多通路、多靶点、多过程改善NAFLD相关表型,从而为水飞蓟黄酮类活性成分治疗NAFLD提供支持。

     

    Abstract: To investigate the therapeutic effect and molecular mechanism of the main flavonoid components of Silybum marianum (S. marianum) on nonalcoholic fatty liver disease (NAFLD), we identified nine flavonoids in S. marianum through TCMSP, PubChem database and corresponding literatures. The potential therapeutic targets of NAFLD were predicted by SwissTargetPrediction, GeneCards and Venny 2.1.0 platform, while the protein-protein interaction (PPI) network of potential targets was analyzed using String platform and Cytoscape software. Then GO and KEGG pathway enrichment analysis were performed using David 6.8 database, followed by molecular docking verification using AutoDock software. In vitro, components with higher degree value in the "components-targets-pathway" network were chosen for further analysis. L02 cells were used to establish lipid accumulation model and treated with different components. Furthermore, the effects of four pure active compounds from S. marianum on lipid accumulation in hepatocytes were analyzed by oil red O staining. The results showed that the main nine flavonoids extracted from S. marianum contained 24 potential NAFLD targets. Several critical pathways closely related to NAFLD process were identified by GO and KEGG enrichment analysis, including phosphatidylinositol 3-kinase-protein kinase B (PI3K-Akt) pathway, type 2 diabetes pathway, tumor necrosis factor (TNF) pathway and insulin resistance pathway. The results of molecular docking further indicated that the core components displayed strong binding abilities with key targets respectively, and silandrin showed better binding activity as compared to other components. The results obtained from L02 cells showed that the lipid accumulation was reduced by treatment with isosilybin A, isosilybin B, silydianin and silychristin, while the activity of isosilybin B was better than that of isosilybin A. Taken together, we concluded that the main flavone components of S. marianum could improve lipid accumulation through multiple signaling pathway in hepatocytes, and this could be a potential new strategy for the treatment of NAFLD.

     

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