中国医院用药评价与分析2024，Vol.24Issue(11)：1303-1307,5.DOI:10.14009/j.issn.1672-2124.2024.11.003
基于数据挖掘和网络药理学方法探讨中药治疗功能失调性子宫出血的用药规律和作用机制
Medication Rules and Mechanism of Traditional Chinese Medicine in the Treatment of Dysfunctional Uterine Bleeding Based on Data Mining and Network Pharmacology
摘要
Abstract
OBJECTIVE:To analyze the medication rules of traditional Chinese medicine in the treatment of dysfunctional uterine bleeding(DUB)based on data mining,and to explore the mechanism of core drugs in the treatment of DUB by network pharmacology.METHODS:Literature on the treatment of DUB with traditional Chinese medicine prescriptions from Jan.2000 to Sept.2023 were retrieved and collected from China National Knowledge Infrastructure.Medication rules were analyzed by traditional Chinese medicine inheritance assistance system software(V2.5)and the core drugs were obtained based on frequency and correlation rule analysis.Chemical components and action targets of the core drugs were obtained by using Swiss Target Prediction database and traditional Chinese medicine systems pharmacology database and analysis platform,and the disease action targets were screened from Online Mendelian Inheritance in Man,GeneCards and DrugBank database.Common targets of drugs and diseases were identified by using online Wayne analysis tools.The protein-protein interaction(PPI)was analyzed based on STRING database.Gene ontology(GO)function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis of common targets were completed through Metascape database.The core components and key targets were verified by molecular docking technology.RESULTS:A total of 384 prescriptions were obtained through data mining,including 196 traditional Chinese medicines,which mainly focused on tonifying deficiency,followed by hemostatic drugs,and Hedysarum Multijugum Maxim-Rubia Cordifolia was the core drugs due to the highest support.The 231 common targets between the core drugs and DUB corresponded to 32 chemical components,among which quercetin,kaempferol and mollugin were the most important.The key targets identified by PPI network analysis were protein kinase B(Akt)1,interleukin 6 and tumor necrosis factor.Through GO enrichment analysis,2 459 biological processes,135 cell compositions,and 225 molecular functions were identified.And KEGG pathway analysis screened 210 related signal pathways,including phosphatidyl inositol 3 kinase(PI3K)-Akt signal pathway and advanced glycation end product(AGE)-RAGE signaling pathway in diabetic complications.Molecular docking results showed that the core components and key targets were well docked,and mollugin had the highest binding energy with Akt1.CONCLUSIONS:Traditional Chinese medicines in the treatment of DUB give priority to tonifying the kidney and consolidating Chong,replenishing Qi and controlling blood,removing blood stasis and stopping bleeding.Hedysarum Multijugum Maxim-Rubia Cordifolia could intervene the course of DUB through multi-component,multi-target and multi-pathway,which provides support and reference for the treatment of DUB with traditional Chinese medicine.关键词
数据挖掘/功能失调性子宫出血/网络药理学/黄芪-茜草/分子对接Key words
Data mining/Dysfunctional uterine bleeding/Network pharmacology/Hedysarum Multijugum Maxim-Rubia Cordifolia/Molecular docking分类
医药卫生引用本文复制引用
陆哲,欧莉,康文倩,张萌萌,李瑶,高峰,李敏,卫培峰..基于数据挖掘和网络药理学方法探讨中药治疗功能失调性子宫出血的用药规律和作用机制[J].中国医院用药评价与分析,2024,24(11):1303-1307,5.基金项目
国家自然科学基金资助项目(No.81903877) （No.81903877）
陕西中医药大学校级项目(No.2023GP28) （No.2023GP28）
