实用临床医药杂志2024，Vol.28Issue(19)：22-26,32,6.DOI:10.7619/jcmp.20242038
基于生物信息学分析的阿尔茨海默病核心基因挖掘及相关通路分析
Mining of core genes and analysis of related pathways in Alzheimer's disease based on bioinformatic analysis
摘要
Abstract
Objective To identify core genes of Alzheimer's disease(AD)through bioinformatic analysis and explore potential pathogenic signaling pathways.Methods Gene expression profiling da-ta related to AD were downloaded from the Gene Expression Omnibus(GEO)database,with datasets GSE227221 and GSE162873 selected for analysis.GEO2R online analysis software was applied to screen differentially expressed genes(DEGs)between AD tissue samples and normal brain tissue sam-ples.The Disease Ontology(DO)enrichment analysis of DEGs was performed using the DOSE pack-age in R software,while Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were conducted through the online data analysis tool DAVID.Protein-protein interactions(PPI)among genes were analyzed using the STRING database,and a PPI network was constructed with Cytoscape software.Hub genes within the PPI network were identified and screened using the MCODE plugin.Based on MCODE scores,further analysis was conducted to select core genes.Results A total of 1,373 DEGs with consistent expression trends involved in the onset and progression of AD were identified from the two datasets,with the core genes of GIMAP genes(in-cluding GIMAP1,GIMAP4,GIMAP5,GIMAP6,GIMAP7,and GIMAP1-GIMAP5).DO enrichment analysis revealed the strongest associations between DEGs and three diseases:systemic lupus erythematosus,lupus erythematosus,and atherosclerosis.GO functional enrichment analysis indicated that DEGs were primarily enriched in three signaling pathways:the classical Wnt signaling pathway,phospho-lipase C-activated G protein-coupled receptor pathway,and plasma membrane lateral domain path-way.KEGG pathway enrichment analysis showed that DEGs were primarily enriched in pathways such as cytokine-cytokine receptor interaction,neuroactive ligand-receptor interaction,and cancer-related transcriptional dysregulation.Conclusion The core pathogenic gene of AD may be the GIMAP gene,and the associated pathways are complex,potentially implicating immune dysfunction.关键词
阿尔茨海默病/生物信息学分析/免疫功能紊乱/基因表达数据库/富集分析/信号通路Key words
Alzheimer's disease/bioinformatic analysis/immune dysfunction/gene expres-sion database/enrichment analysis/signaling pathway分类
医药卫生引用本文复制引用
张宏,展淑琴..基于生物信息学分析的阿尔茨海默病核心基因挖掘及相关通路分析[J].实用临床医药杂志,2024,28(19):22-26,32,6.基金项目
陕西省2022年重点研发计划项目(2022SF-380) （2022SF-380）
2022年度陕西省卫生健康科研基金项目(2022A006) （2022A006）
