Identification of a Four-Gene Signature Based on Metal Metabolism for Alzheimer's Disease Diagnosis.

ABSTRACT: Background/Objectives: Alzheimer's disease (AD) is a progressive neurodegenerative disorder, and dysregulated metal metabolism in the brain is closely linked to its pathogenesis. Methods: In this study, we identified differentially expressed metal metabolism-related genes (DEMGs) associated with AD by integrating data from the GEO dataset GSE132903 and the GeneCards database. Protein-protein interaction (PPI) network analysis was used to identify hub genes, followed by receiver operating characteristic (ROC) curve analysis to assess their diagnostic potential as AD biomarkers. To validate these findings, we performed qRT-PCR experiments on a cellular model and further verified the results using an independent external dataset. Finally, we developed a multigene diagnostic mode

SUBMITTER: Huang D 

PROVIDER: S-EPMC12652854 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature