摘要
Abstract
Objective This study utilizes bioinformatics methods to analyze differentially expressed genes(DEGs)between Alzheimer's disease(AD)and vascular dementia(VD)compared to normal controls.The aim is to identify key genes and validate their relevance to both types of dementia.Methods Gene chip dataset GSE122063 were obtained from the Gene Expression Omnibus(GEO)database.Using the GEO2R tool,DEGs in AD,VD,and normal control group were screened.We constructed a protein-protein interaction network using the STRING database and identified key genes through Cytoscape.Subsequently,DAVID database were used to analyze gene ontology(GO)enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathways associated with interconnected DEGs,predicting their biological functions.Finally,diagnostic performance were validated and assessed by using receiver operating characteristic curves.Results In the AD and VD groups,we identified 1099 and 505 DEGs,respectively,with 69 genes showing associations in the protein-protein interaction network.GO analysis revealed that DEGs are primarily located in the extracellular matrix,cell surface,and plasma membrane.They influence biological processes such as signal transduction and inflammatory responses,with functions related to receptor binding and signal receptor activity,collectively contributing to dementia development.KEGG analysis indicated significant enrichment of DEGs in immune-related signaling pathways,including microbial infections,rheumatoid arthritis,systemic lupus erythematosus,and inflammatory bowel disease.Four key genes—CCR5,CCL2,FCGR2A,and ITGB2—with significantly elevated expression in both AD and VD groups were indentifiied.The area under the curve suggests their potential diagnostic value for dementia.Conclusion Through bioinformatics analysis of AD and VD,the enriched signaling pathways and key genes associated with immunity and inflammation were discovered.These findings may play a crucial role in dementia progression and provide new insights for early diagnosis.关键词
阿尔茨海默病/血管性痴呆/生物信息学分析/差异表达基因Key words
Alzheimer's disease/Vascular dementia/Bioinformatics analysis/Differentially expressed genes分类
医药卫生
