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Dataset Information

Why Inclusion Matters for Alzheimer's Disease Biomarker Discovery in Plasma.


ABSTRACT:

Background

African American/Black adults have a disproportionate incidence of Alzheimer's disease (AD) and are underrepresented in biomarker discovery efforts.

Objective

This study aimed to identify potential diagnostic biomarkers for AD using a combination of proteomics and machine learning approaches in a cohort that included African American/Black adults.

Methods

We conducted a discovery-based plasma proteomics study on plasma samples (N = 113) obtained from clinically diagnosed AD and cognitively normal adults that were self-reported African American/Black or non-Hispanic White. Sets of differentially-expressed proteins were then classified using a support vector machine (SVM) to identify biomarker candidates.

Results

In total, 740 proteins were identified

SUBMITTER: Khan MJ 

PROVIDER: S-EPMC9126484 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature