基于网络药理学探讨五苓散防治高脂血症的作用机制  

Mechanisms of Wulin Powder in the prevention and treatment of hyperlipemia based on network pharmacology

作　　者：罗雪霞 王思敏 陈紫航 杨艳红[1] 雷自立 LUO Xuexia;WANG Simin;CHEN Zihang;YANG Yanhong;LEI Zili(The First Affiliated Hospital(School of Clinical Medicine),Guangzhou510080,China;Institute of Traditional Chinese Medicine,Guangdong Pharmaceutical University)

机构地区：[1]广东药科大学附属第一医院(临床医学院),广州广东510080 [2]广东药科大学中医药研究院

出　　处：《包头医学院学报》2022年第7期51-58,共8页Journal of Baotou Medical College

基　　金：国家自然科学基金项目(81803912,31671520);广州市越秀区教育卫生专项项目(2018-WS-011);中国科学院再生生物学重点实验室开放课题(KLRB201807);2019年度广东省大学生创新创业训练计划项目(S201910573021)。

摘　　要：目的:运用网络药理学探讨分析五苓散防治高脂血症的作用机制。方法:通过Drugbank数据库和DisGeNET数据库收集高脂血症的靶点,经Uniprot数据库将靶点基因进行标准化;在TCMSP数据库中按照口服生物利用度(OB)≥30%、类药性(DL)≥0.14条件筛选出白术、茯苓、桂枝、泽泻和猪苓的有效成分,通过PubChem数据库、ALOGPS 2.1数据库和SwissTargetPrediction数据库收集白术、茯苓、桂枝、泽泻和猪苓有效成分靶点并且通过Uniprot数据库进行标准化;将靶点导入STRING数据库进行蛋白相互作用,获得蛋白互作网络;对筛选出的有效成分和关键靶点进行分子对接验证。通过DAVID 6.8数据库进行GO功能和KEGG通路富集分析;应用Cytoscape 3.2.1软件绘制关系图并且进行网络拓扑参数分析,ImageGP工具绘制GO功能和KEGG通路气泡图。结果:通过网络药理学分析,获得452个高脂血症靶点,54个五苓散有效成分,其中47个五苓散有效成分与防治高脂血症靶点有关,获得84个五苓散有效成分靶点与高脂血症靶点的交集靶点。分子对接结果表明,五苓散的有效成分可以对高脂血症关键靶点发挥调控作用。GO分析得到295个生物学过程、34个细胞组分、79个分子功能,KEGG得到102条通路,包括VEGF信号通路、AMPK信号通路等。结论:利用网络药理学分析平台可对五苓散的有效成分靶点、高脂血症靶点以及五苓散防治高脂血症通路进行预测,为五苓散治疗高脂血症提供新思路。Objective:To explore the mechanism of Wuling Powder in preventing and treating hyperlipidemia by network pharmacology.Methods:The targets genes of hyperlipidemia were collected using the Drugbank database and the DisGeNET database,and the target genes were standardized using the Uniprot database.The active ingredients of Atractylodes macrocephala,Poria cocos,Guizhi,Alisma orientalis and Polyporus umbellatus were screened in the TCMSP database according to the conditions of oral bioavailability(OB)≥30%and drug-like properties(DL)≥0.14.The target genes of Atractylodes macrocephala,Poria cocos,Guizhi,Alisma umbellate and Polyporus umbellatus were collected using PubChem database,ALOGPS 2.1 database and SwissTargetPrediction database,and standardized through Uniprot database.The target genes were inputted into the STRING database for protein interaction analysis.The screened active ingredients and key targets were further verified by molecular docking.The DAVID 6.8 database was used for GO function and KEGG pathway enrichment analysis;Cytoscape 3.2.1 software was used to draw the relationship diagram and analyze the network topology parameters;the ImageGP tool was used to draw the GO function and KEGG channel bubble chart.Results:Through network pharmacology analysis,452 targets of hyperlipidemia and 54 effective components of Wuling Powder were obtained.Among them,47 effective components of Wuling Powder were related to the targets of the prevention and treatment of hyperlipidemia,and 84 intersection targets of Wuling Powder and hyperlipidemia were obtained.The results of molecular docking showed that the effective components of Wuling Powder could regulate the key targets of hyperlipidemia.Total 295 biological processes,34 cell components and 79 molecular functions were obtained through GO analysis,and 102 pathways including VEGF signaling pathway and AMPK signaling pathway were obtained through KEGG analysis.Conclusion:The network pharmacology analysis platform can be used to predict the effective components t

关 键 词：五苓散 高脂血症 网络药理学 通路富集 靶点 

分 类 号：R285[医药卫生—中药学]