Blood metabolite markers of preclinical Alzheimer's disease in two longitudinally followed cohorts of older individuals.

ABSTRACT:

Introduction

Recently, quantitative metabolomics identified a panel of 10 plasma lipids that were highly predictive of conversion to Alzheimer's disease (AD) in cognitively normal older individuals (n = 28, area under the curve [AUC] = 0.92, sensitivity/specificity of 90%/90%).

Methods

Quantitative targeted metabolomics in serum using an identical method as in the index study.

Results

We failed to replicate these findings in a substantially larger study from two independent cohorts-the Baltimore Longitudinal Study of Aging ([BLSA], n = 93, AUC = 0.642, sensitivity/specificity of 51.6%/65.7%) and the Age, Gene/Environment Susceptibility-Reykjavik Study ([AGES-RS], n = 100, AUC = 0.395, sensitivity/specificity of 47.0%/36.0%). In analyses applying machine learning metho

SUBMITTER: Casanova R 

PROVIDER: S-EPMC4947451 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature