Clustering Alzheimer's Disease Gene Expression Dataset Reveals Underlying Sexually Dimorphic and Disease Status Profiles.

ABSTRACT:

Background

The multiple appearance phenotypes in Alzheimer's disease (AD) are manifested in epidemiologic sexual dimorphism, variation in age of onset, progress, and severity of the disease.

Objective

In this study, we focused on sexual dimorphism, aiming to untie some of the complex interconnections in AD between sex, disease status, and gene expression profiles. Two strategic decisions guided our study: 1) to value transcriptomic multi-layered profiles over alterations in single genes expression; and 2) to embrace a sexual dimorphism centered approach, as we suspect that transcriptomic profiles may dramatically differ not only between healthy and sick individuals but between men and women as well.

Methods

Microarray dataset GSE15222, fulfilling our strict criteria,

SUBMITTER: Levy S 

PROVIDER: S-EPMC8385427 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature