Biomarker clustering in autosomal dominant Alzheimer's disease.

ABSTRACT:

Introduction

As the number of biomarkers used to study Alzheimer's disease (AD) continues to increase, it is important to understand the utility of any given biomarker, as well as what additional information a biomarker provides when compared to others.

Methods

We used hierarchical clustering to group 19 cross-sectional biomarkers in autosomal dominant AD. Feature selection identified biomarkers that were the strongest predictors of mutation status and estimated years from symptom onset (EYO). Biomarkers identified included clinical assessments, neuroimaging, cerebrospinal fluid amyloid, and tau, and emerging biomarkers of neuronal integrity and inflammation.

Results

Three primary clusters were identified: neurodegeneration, amyloid/tau, and emerging biomarkers. Featu

SUBMITTER: Luckett PH 

PROVIDER: S-EPMC9525451 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature