Analysis of Differentially Expressed Genes Associated with Alzheimer's Disease Based on Bioinformatics Methods

Abstract

Objective: To screen differentially expressed genes (DEGs) of Alzheimer's disease (AD). Methods: The gene expression profile (GSE26972) of AD was downloaded from Gene Expression Omnibus database. The DEGs were mapped to protein-protein interaction (PPI) data for acquiring the potential PPI relationship. The coexpressed significance of a gene pair in AD was determined. Then significantly enriched Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of DEGs were analyzed based on database for annotation visualization and integrated discovery tool. Results: The PPI network showed 7 upregulated genes and 4 downregulated genes that might play meaningful functional roles in AD. Meanwhile, 3 significantly enriched KEGG pathways as well as several significant GO terms (included α-actinin binding, interleukin 33 receptor activity, and telethonin binding) were identified. Conclusions: The screened DEGs have the potential to become candidate target molecules to monitor, diagnose, and treat AD.