Suppr超能文献

基于网络药理学和代谢组学探讨黄芪四妙汤治疗2型糖尿病的作用机制

[Mechanism of Huangqi Simiao Decoction in treatment of type 2 diabetes mellitus based on network pharmacology and metabonomics].

作者信息

Tan Li, Long Jiang-Lan, Zeng Zhi-Hua, Gao Hui-Juan, Aikepaer Ai-Fei-la, Zhang Jian-Wen, Wang Wei, Meng Xing, Lin Yu-Han, Sun Chao-Fan, Yuan Yu-Lian, Wang Chun-Chan, Chen Yuan-Hao, Ling Guo-Xing, Tang Yu, Feng Xing-Zhong

机构信息

Yuquan Hospital,Tsinghua University Beijing 100040, China Beijing Chaoyang Hospital, Capital Medical University Beijing 100020, China.

Beijing Friendship Hospital, Capital Medical University Beijing 100050, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2024 Aug;49(15):4207-4219. doi: 10.19540/j.cnki.cjcmm.20240429.502.

Abstract

This article analyzed the mechanism of Huangqi Simiao Decoction(HSD) for the treatment of type 2 diabetes mellitus(T2DM). The component targets of HSD and the related disease targets of T2DM were screened through network pharmacology. The protein-protein interaction(PPI) network of intersecting targets and the drug-component-intersecting target network were constructed to screen the potential active ingredients and targets. Molecular docking was performed using AutoDock Vina software to verify the interaction between potential components and core targets. The serum was tested by ultra performance liquid chromatography-tandem mass spectrometry, and multivariate statistical analyses, such as principal component analysis(PCA) and partial least squares discriminant analysis(PLS-DA), were used to search for the differential metabolites and related metabolic pathways of each group by combining with the MetaboAnalyst database. The same metabolic pathways were analyzed by combining the screened differential metabolites with the intersecting targets screened by network pharmacology. Network pharmacology showed that the nine core components of HSD for the treatment of T2DM were quercetin, kaempferol, stigmasterol, baicalein, β-sitosterol, flavodoxin, canthaxanthin, canthaxanthin, berberine, and berberine, and the five core targets included AKT1, TP53, TNF, IL6, and VEGFA. Molecular docking showed that the core components bound well to the target genes. Metabolomics showed that a total of 112 common differential metabolites were identified, of which 88 metabolites exhibited increased concentration and 24 metabolites decreased concentration after treatment with HSD. Enrichment analysis showed that HSD regulated the body metabolism of patients with T2DM, mainly related to seven metabolic pathways, such as amino acid metabolism and tricarboxylic acid cycle. The joint analysis of metabolomics and network pharmacology showed that both involved histidine metabolism, arginine and proline metabolic pathways. This study suggests that HSD has a good efficacy for T2DM. Based on the combined analysis of metabolomics and network pharmacology, it was found that the mechanism may be that the pharmacodynamic bases of quercetin, kaempferol, and stigmasterol in HSD enhance the effects on histidine metabolism, arginine and proline metabolic pathways by modulating a variety of metabolites, which provides the basis for further prevention and treatment of T2DM.

摘要

本文分析了黄芪四妙汤治疗2型糖尿病(T2DM)的作用机制。通过网络药理学筛选黄芪四妙汤的成分靶点及T2DM的相关疾病靶点。构建交集靶点的蛋白质-蛋白质相互作用(PPI)网络和药物-成分-交集靶点网络,以筛选潜在的活性成分和靶点。使用AutoDock Vina软件进行分子对接,验证潜在成分与核心靶点之间的相互作用。采用超高效液相色谱-串联质谱法检测血清,并结合MetaboAnalyst数据库,运用主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)等多元统计分析方法,寻找各组的差异代谢物及相关代谢途径。将筛选出的差异代谢物与网络药理学筛选出的交集靶点相结合,对相同的代谢途径进行分析。网络药理学研究表明,黄芪四妙汤治疗T2DM的9种核心成分分别为槲皮素、山奈酚、豆甾醇、黄芩素、β-谷甾醇、黄素氧还蛋白、角黄素、小檗碱,5个核心靶点包括AKT1、TP53、TNF、IL6和VEGFA。分子对接结果显示,核心成分与靶基因结合良好。代谢组学研究表明,共鉴定出112种常见差异代谢物,其中88种代谢物在黄芪四妙汤治疗后浓度升高,24种代谢物浓度降低。富集分析表明,黄芪四妙汤可调节T2DM患者的机体代谢,主要涉及氨基酸代谢和三羧酸循环等7条代谢途径。代谢组学与网络药理学的联合分析表明,二者均涉及组氨酸代谢、精氨酸和脯氨酸代谢途径。本研究提示,黄芪四妙汤对T2DM具有良好疗效。基于代谢组学与网络药理学的联合分析发现,其作用机制可能是黄芪四妙汤中槲皮素、山奈酚和豆甾醇的药效基础通过调节多种代谢物,增强对组氨酸代谢、精氨酸和脯氨酸代谢途径的影响,为T2DM的进一步防治提供了依据。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验