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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 methods to all 187 metabolite concentrations assayed, we find a modest signal in the BLSA with distinct metabolites associated with the preclinical and symptomatic stages of AD, whereas the same methods gave poor classification accuracies in the AGES-RS samples. DISCUSSION:We believe that ours is the largest blood biomarker study of preclinical AD to date. These findings underscore the importance of large-scale independent validation of index findings from biomarker studies with relatively small sample sizes.

SUBMITTER: Casanova R 

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

REPOSITORIES: biostudies-literature

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<h4>Introduction</h4>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%).<h4>Methods</h4>Quantitative targeted metabolomics in serum using an identical method as in the index study.<h4>Results</h4>We failed to replicate these findings in a substantially larger study from two independent  ...[more]

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