健脾解毒汤治疗银屑病的生物信息学作用机制研究  

Bioinformatics Analysis of the Mechanism of Jianpi Jiedu Decoction in the Treatment of Psoriasis

作　　者：姚文汇 许孟月 左永杰 刘红霞[2] Yao Wenhui;Xu Mengyue;Zou Yongjie;Liu Hongxia(Xinjiang Medical University,Xinjiang,Urumqi 830000,China)

机构地区：[1]新疆医科大学,新疆乌鲁木齐830000 [2]新疆医科大学附属中医医院,新疆乌鲁木齐830000

出　　处：《中国中医急症》2024年第9期1523-1528,共6页Journal of Emergency in Traditional Chinese Medicine

基　　金：国家自然科学基金地区项目(81960871);新疆维吾尔自治区重点研发计划项目(2021B03001-2)。

摘　　要：目的通过生物信息学分析,寻找与银屑病发病密切相关的特征基因,并探寻中药复方对其作用机理。方法利用中药系统药理学数据库(TCMSP)对健脾解毒汤的药物作用靶点进行研究。通过OMIM数据库、GeneCard数据库以及GEO数据库筛选银屑病的病理靶点;使用R包对基因进行功能注释;从NCBI GEO公共数据库下载银屑病数据集GSE13355的基因表达数据;通过Cytoscape建立“活性成分-靶点”网络;采用WGCNA方法,寻找协同表达的基因模块;利用WGCNA-R包构建数据集中基因的共表达网络;采用CIBERSORT算法推断22种免疫浸润细胞的相对比例,并进行Pearson相关性分析;通过miRcode数据库获得关键基因相关的miRNA。统计分析采用R语言(version4.2.1)进行。结果最终得到对应药物靶点共132个,将药物靶点与疾病靶点取交集,得43个交集靶点。GO和KEGG富集分析主要涉及cellular response to chemical stress、response to oxidative stress、gland development、HIF-1、Th17 cell differentiation、PI3K-Akt等信号通路。WGCNA分析共检测到8个基因模块,其中black模块相关性绝对值最高,将black模块中筛选后得到的912个基因与43个交集靶点取交集,结果显示,ABCC1、BIRC5、PCNA这3个基因均有交集,关键基因与多种免疫细胞显著相关。对关键基因和铁死亡相关基因进行相关性分析,关键靶点的表达水平和铁死亡相关基因的表达水平显著相关。结论ABCC1、BIRC5、PCNA、AIFM2、BECN1和GPX4在银屑病中具有重要的生物学功能,为今后的新药研发奠定基础。Objective:To identify the characteristic genes closely related to the pathogenesis of psoriasis through bioinformatics analysis,and to explore the mechanism of action of the traditional Chinese medicine(TCM)decoction.Methods:TCM Systematic Pharmacology Database(TCMSP)was used to study the drug targets of the Chinese medicines in Jianpi Jiedu Decoction.Pathological targets for psoriasis were screened from the Online Mendelian Inheritance in Man(OMIM),GeneCards,and Gene Expression Omnibus(GEO)databases.Gene functional annotation was performed using R packages.The gene expression data set GSE13355 for psoriasis was downloaded from the NCBI GEO public database.An“active ingredient-target”network was constructed using Cytoscape.Weighted gene co-expression network analysis(WGCNA)was used to identify co-expressed gene modules.A coexpression network of genes in the data set was constructed using the WGCNA-R package.The relative proportions of 22 types of infiltrating immune cells were inferred using the CIBERSORT algorithm,followed by Pearson correlation analysis.miRNAs related to key genes were obtained from the miRcode database.Statistical analyses were conducted using R language(version 4.2.1).Results:A total of 132 drug targets were identified.The intersection between drug targets and disease targets resulted in 43 overlapping targets.GO and KEGG enrichment analyses mainly involved pathways such as cellular response to chemical stress,response to oxidative stress,gland development,HIF-1 signaling pathway,Th17 cell differentiation,and PI3K-Akt signaling pathway.WGCNA analysis detected 8 gene modules,with the black module having the highest absolute correlation.After screening,912 genes from the black module were intersected with the 43 overlapping targets,revealing that the genes ABCC1,BIRC5,and PCNA were present in the intersection.Key genes were significantly associated with multiple immune cells.Correlation analysis between key genes and ferroptosis-related genes showed significant associations between the expr

关 键 词：银屑病 炎症反应 健脾解毒汤 生物信息学 特征基因 

分 类 号：R285.5[医药卫生—中药学]