Ontology highlight
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