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

医学 机制(生物学) 汤剂 药理学 糖尿病 2型糖尿病 传统医学 内分泌学 认识论 哲学
作者
Li Tan,Jianglan Long,Zhihua Zeng,Huijuan Gao,Ai-Fei-la Aikepaer,Jianwen Zhang,Wei Wang,Xing Meng,Yuhan Lin,Chaofan Sun,Yu-Lian Yuan,Chun-Chan Wang,Yuan-Hao Chen,Guo-Xing Ling,Yu Tang,Feng Xing-zhong
出处
期刊:PubMed 卷期号:49 (15): 4207-4219 被引量:2
标识
DOI:10.19540/j.cnki.cjcmm.20240429.502
摘要

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.
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