Mechanism of action of Huangbaichen Sanwei formulation in treating T2DM based on network pharmacology and molecular docking

被引:0
作者
Li, Chunnan [1 ]
Shen, Jiaming [1 ]
Jing, Xiaolong [2 ]
Zhang, Kaiyue [1 ]
Liu, Lu [1 ]
Wang, Yuelong [1 ]
Zhang, Hui [1 ]
Sun, Jiaming [1 ]
机构
[1] Changchun Univ Chinese Med, Jilin Ginseng Acad, 1035 Boshuo Rd, Changchun 130117, Jilin, Peoples R China
[2] Nanjing Univ Chinese Med, Coll Pharm, Nanjing, Peoples R China
关键词
HCBS; mechanism of action; molecular docking; network pharmacology; T2DM; MELLITUS; MICE;
D O I
10.1097/MD.0000000000036146
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Huangbaichen Sanwei formulation (HBCS) has been reported to have a good hypoglycemic effect, but its pharmacological mechanism of action remains unclear. We used network pharmacology and molecular docking to explore the potential mechanism of action of HBCS against type-2 diabetes mellitus (T2DM). Fifty-five active components from HBCS interfered with T2DM. Twenty-five core targets, such as AKT1, INS, INSR, MAPK1 were identified. Enrichment analyses showed that HBCS was involved mainly including insulin receptor signaling pathway, extracellular region, and insulin-like growth factor receptor binding and other biological processes; common targets had roles in treating T2DM by regulating diabetic cardiomyopathy and insulin resistance. Molecular docking verified that components combined with core targets. HBCS play a part in treating T2DM through multiple components and targets at the molecular level, which lays a theoretical foundation for research using HBCS to treat T2DM. The components, predicted targets, and T2DM targets of HBCS were searched through databases, and common targets were determined. Further screening of the core targets was conducted through the establishment of a protein -protein interaction network. The core targets were analyzed by Gene Ontology (GO) annotation utilizing the DAVID platform. And the enrichment of signaling pathways was explored by employing the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Cytoscape 3.9.1 was employed to construct a "TCM-components-core target-pathway" network. Autodock Vina was used to dock molecules to compare the binding activity of active molecules with targets.
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页数:9
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