河南中医2026，Vol.46Issue(1)：12-20,9.DOI:10.16367/j.issn.1003-5028.2026.01.0003
基于数据挖掘和网络药理学探究溃疡性结肠炎的中医药治疗规律
Exploring the Rules of Traditional Chinese Medicine in Treating Ulcerative Colitis Based on Network Pharmacology and Data Mining
摘要
Abstract
Objective:To explore the commonly used Chinese medicinals and their mechanisms of action in treating ulcerative colitis based on data mining and network pharmacology.Methods:Relevant literature on the oral administration of Chinese medicinals for ulcer-ative colitis was retrieved from databases including CNKI,VIP,Wanfang Medical Database,PubMed,and EmBase,etc.The Chinese me-dicinals mentioned in the literature were collected and analyzed for absolute frequency and relative frequency.The top five high-frequen-cy Chinese medicinals were selected,and their active ingredients and related targets were screened using the Traditional Chinese Medi-cine Systems Pharmacology Database and Analysis Platform.Gene targets for ulcerative colitis were retrieved from the Genecards data-base and mapped with the targets of the Chinese medicinals to identify potential therapeutic targets.Cytoscape software was used to con-struct an"ingredient-target"network.The potential targets were imported into the STRING database to obtain protein-protein interaction(PPI)relationships.Cytoscape software was adopted for PPI network visualization and to screen for core targets.R software was em-ployed for Gene Ontology(GO)enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment a-nalysis of the targets.Results:A total of 213 valid articles were retrieved,involving 134 different kinds of Chinese medicinals,primarily including tonifying medicinalss,heat-clearing medicinals,qi-regulating medicinalss,and exterior-releasing medicinals,etc.The top six high-frequency Chinese medicinalss were Huanglian(Rhizoma Coptidis),Gancao(Radix Glycyrrhizae),Baizhu(Rhizoma Atractylodis Macrocephalae),Huangqin(Radix Scutellariae),Huangqi(Radix Scutellariae),and Baishao(Radix Paeoniae Alba).Based on the TCMSP database,55 active ingredients and 212 targets were identified for the five Chinese medicinals(excluding Gancao).A total of 1,226 target genes were retrieved from the Genecards database,and mapping with the active ingredient targets yielded 103 potential therapeutic targets.GO enrichment analysis identified 1,865 biological processes,39 cellular components,and 98 molecular functions.KEGG enrichment analysis revealed 123 related pathways.Conclusion:The mechanisms of Chinese medicinals in treating ulcerative coli-tis are complex,involving multiple targets and pathways,characterized by"small dispersion and large concentration.".关键词
溃疡性结肠炎/数据挖掘/网络药理学/中药/作用机制/用药规律Key words
ulcerative colitis/data mining/network pharmacology/Chinese medicinals/mechanism of action medication rules分类
医药卫生引用本文复制引用
LI Yue,LIU Yaoping,CHENG Siyu,ZHANG Hui,GAO Linghui,HAN Changpeng,YING Guangyao..基于数据挖掘和网络药理学探究溃疡性结肠炎的中医药治疗规律[J].河南中医,2026,46(1):12-20,9.基金项目
国家自然科学基金项目(81874468) （81874468）
