Identification and Validation of Aging-Related Genes in Alzheimer's Disease.

ABSTRACT: Aging is recognized as the key risk factor for Alzheimer's disease (AD). This study aimed to identify and verify potential aging-related genes associated with AD using bioinformatics analysis. Aging-related differential expression genes (ARDEGs) were determined by the intersection of limma test, weighted correlation network analysis (WGCNA), and 1153 aging and senescence-associated genes. Potential biological functions and pathways of ARDEGs were determined by GO, KEGG, GSEA, and GSVA. Then, LASSO algorithm was used to identify the hub genes and the diagnostic ability of the five ARDEGs in discriminating AD from the healthy control samples. Further, the correlation between hub ARDEGs and clinical characteristics was explored. Finally, the expression level of the five ARDEGs was validated u

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC9124812 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature