Deciphering Alzheimer's disease transcriptomics: exploration and validation of core genes in tau and Aβ pathological models toward novel therapeutic targets.

ABSTRACT:

Introduction

To decode the pathology of Alzheimer's disease (AD), this study employs multi-omics approaches and bioinformatics analyses to explore AD-associated differentially expressed genes (DEGs), dissect the underlying mechanisms, and thereby facilitate the identification of core genes as well as the development of targeted therapeutic strategies.

Methods

Six independent AD datasets were collected from the Gene Expression Omnibus (GEO) database, and data were processed and normalized using the R software. The evaluation of relationships between differentially expressed genes (DEGs) and AD encompassed differential expression analysis, expression quantitative trait loci (eQTL) analysis, and Mendelian randomization (MR) analysis. Additionally, gene set enrichment analysis (

SUBMITTER: Zhang HE 

PROVIDER: S-EPMC12549628 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature