Novel set of plasma proteins classifies Alzheimer's dementia in African American individuals with high accuracy.

ABSTRACT:

Introduction

African American (AA) individuals are underrepresented in biomarker studies for Alzheimer's disease (AD). Biomarkers that reflect the heterogeneity of AD and achieve the greatest accuracy across populations are sorely needed.

Methods

Untargeted proteome measurements were obtained using the SomaScan 7k platform to identify novel plasma biomarkers for AD in AA participants with clinical diagnoses of AD dementia (n = 181) and cognitively unimpaired (CU, n = 142). Machine learning was used to identify a set of plasma proteins that yielded the best classification accuracy.

Results

A set of 36 proteins achieved an area under the curve (AUC) of 0.94 to classify AD dementia versus CU, a 16% improvement over age, sex, and apolipoprotein E (APOE). This finding was

SUBMITTER: Kuchenbecker LA 

PROVIDER: S-EPMC12301693 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature