摘要
目的运用网络药理学研究人参改善胰岛素抵抗(Insulin resistance,IR)的多成分、多靶标、多途径作用机制。方法通过超高效液相色谱与四极杆飞行时间质谱联用(Ultra performance liquid chromatography quadrupole-time-of-flight hybrid mass spectrometry,UPLC-Q-TOF-MS)分析人参中的主要化学成分,使用DAVID数据库进行基因本体论(Gene ontology,GO)分析和京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)通路分析,并运用Cytoscape 3.6.1软件绘制网络互作图,image GP工具绘制GO气泡图,使用Vina软件进行分子对接预测。结果研究得到人参改善IR作用的41个关键活性成分和26个关键靶点,GO、KEGG通路富集和Vina分子对接分析发现,人参可能主要通过人参皂苷Rg1、人参皂苷Rd、人参二酮和25-羟基原人参二醇等活性成分,作用于MAPK1、VEGFA、PIK3R1、NR3C1靶点,调节m TOR信号通路、Toll样信号通路、胰岛素通路等信号通路发挥改善IR作用。结论人参改善IR体现了多成分、多靶点、多途径的作用特点,为进一步研究人参改善IR作用药效物质基础和作用机制提供了新的思路和方法。
Objective To explore the effect of Ginseng in the improvement of insulin resistance by network pharmacology. Methods The main chemical components in Ginseng were analyzed by UPLC-TOF-MS. Gene ontology(GO) and Kyoto encyclopedia of genes and genomes(KEGG) analyses were conducted by consulting the DAVID database. The network interaction diagrams were produced using Cytoscape 3.6.1, and GO bubble diagrams were drawn with image GP. Vina software was used for molecular docking. Results A total of 41 key active ingredients and 26 key targets were obtained. The KEGG pathway enrichment analysis revealed 46 KEGG pathways, including the mTOR signaling pathway, Toll-like signaling pathway, insulin pathway and other signaling pathways. Conclusion Ginseng may improve insulin resistance by acting on VEGFA, JUN, mTOR and other related targets and pathways.
作者
殷怡帆
罗朵生
郭姣
Yin Yifan;Luo Duosheng;Guo Jiao(Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine,Guangdong Pharmaceutical University,Guangzhou 510006,China;Guangdong Key Laboratory of Metabolic Disease Prevention and Treatment of Traditional Chinese Medicine,Guangdong Pharmaceutical University,Guangzhou 510006,China)
出处
《世界科学技术-中医药现代化》
CSCD
北大核心
2021年第3期758-767,共10页
Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金
广东省科学技术厅科技发展专项资金项目(2016B050501003):代谢病中西医结合防治国际合作基地建设,负责人:郭姣
广州市科学技术局科技计划项目(201803010069):基于组学特征谱研究糖脂代谢病的早期诊断方法,负责人:郭姣。
作者简介
通讯作者:罗朵生,副研究员,主要研究方向:中药药效物质基础及作用机制研究。
