Drug repurposing using meta-analysis of gene expression in Alzheimer's disease.

ABSTRACT:

Introduction

Alzheimer's disease and other forms of dementia are disease that bring an increased global burden. However, the medicine developed to date remains limited. The purpose of this study is to predict drug repositioning candidates using a computational method that integrates gene expression profiles on Alzheimer's disease and compound-induced changes in gene expression levels.

Methods

Gene expression data on Alzheimer's disease were obtained from the Gene Expression Omnibus (GEO) and we conducted a meta-analysis of their gene expression levels. The reverse scores of compound-induced gene expressions were computed based on the reversal relationship between disease and drug gene expression profiles.

Results

Reversal genes and the candidate compounds were identif

SUBMITTER: Jang HY 

PROVIDER: S-EPMC9684643 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature