吉林医药学院学报2024，Vol.45Issue(2)：90-96,7.
基于数据挖掘、网络药理学技术探讨藏药治疗慢性萎缩性胃炎的用药规律及作用机制
Analysis on Medication Regularity and Action Mechanism of Tibetan Medicine in Treatment of Chronic Atrophic Gastritis Based on Data Mining and Net-Work Pharmacology
摘要
Abstract
Objective To study the mechanism of action of Tibetan medicine in the treatment of chronic atrophic gastritis(CAG).Method Retrieve Tibetan medicine prescriptions for the treatment of CAG on CNKI,Wanfang Database,and VIP Journal Database.Ex-tract information from literature that meets the inclusion and exclusion criteria,construct a database for high-frequency Tibetan medicine statistics,conduct correlation analysis,and obtain core drugs for Tibetan medicine treatment of CAG.Retrieve the active ingredients and targets of Tibetan medicine in the TCMSP database,use GeneCads and OMIM online databases to obtain disease targets,conduct Wayne analysis on drug action targets and disease-related targets,and determine potential targets for Tibetan medicine treatment of CAG.Use String database and Cytoscape 3.7.1 software to construct a"drug compound potential target"interaction network and protein interaction(PPI)network diagram.Conduct GO function and KEGG pathway enrichment analysis on key targets using the DAVID database.Results A total of 78 Tibetan medicine prescriptions were included,including 136 Tibetan medicines.Based on confidence and correlation,four core drugs including Terminalia chebula,Cardamom,Piper longum,Pomegranate,and 32 active ingredients including quercetin,luteolin,rosacetin,ellagic acid,piperine,and dehydrodiisoeugenol were selected.92 core targets including AKT1,TNF,IL6,TP53,MMP9,HIF1A,CASP3,BCL2,IL1B,PTGS2,and 747 GO entries were obtained.KEGG enrichment entries involved 139 pathways,including cancer related pathways,lipid and atherosclerosis,and AGE-RAGE.Conclusion Four Tibetan medicines,including cardamom,piper longum,pomegranate,and chebula,were selected through data mining as core drugs for the treatment of CAG.Network pharmacology methods were used to analyze and conclude that these four Tibetan medicines may inhibit the release of inflammatory cytokines by down-regulating the expression of genes such as AKT1,TNF,IL6,and TP53.It also plays a role in the treatment of CAG by regulating cancer-related pathways,lipid and atherosclerosis,AGE-RAGE,fluid shear stress and atherosclerosis,IL-17 and other signaling pathways,which directly or indirectly participate in the anti-inflammatory,antioxidant,and vascular regeneration processes of the body.关键词
数据挖掘技术/网络药理学/藏药/慢性萎缩性胃炎Key words
data mining technology/network pharmacology/Tibetan medicine/chronic atrophic gastritis分类
医药卫生引用本文复制引用
邢佳宝,李生隆,达娃卓玛,方龙伟,央拉,多吉卓玛,任明辉,巴桑卓玛..基于数据挖掘、网络药理学技术探讨藏药治疗慢性萎缩性胃炎的用药规律及作用机制[J].吉林医药学院学报,2024,45(2):90-96,7.基金项目
西藏大学研究生高水平人才培养计划项目(2021-GSP-S052) （2021-GSP-S052）
国家自然科学基金(82241023) （82241023）
2019年度西藏大学校级培育项目(ZDTSJH19-08) （ZDTSJH19-08）
中央财政支持地方高校改革发展专项资金项目(藏财教指[2019]1号,藏财教指[2018]54号,藏财教指[2020]79号) （藏财教指[2019]1号,藏财教指[2018]54号,藏财教指[2020]79号）
巴桑卓玛教授名师工作坊项目(藏财预指[2021]1号) （藏财预指[2021]1号）
中央支持地方部区合建综合学科创新平台建设项目-西藏大学自动化核酸检测固定实验室建设(藏财预指[2023]1号) （藏财预指[2023]1号）
西藏大学人才发展激励计划学科领军人才巴桑卓玛(2023年度)(0006166/006) （2023年度）
科研处巴桑卓玛高原世居者和移居者高原适应不全的流行病学调查与分子机制研究(08080002) （08080002）
医学院巴桑卓玛人类遗传资源(血液采集)的研究(18080052) （血液采集）
