Sunday, June 25, 2017

Multivariate Analyses of Peripheral Blood Leukocyte Transcripts Distinguish Alzheimer’s, Parkinson’s, Control and Those at Risk for Developing Alzheimer’s

You'll want your doctor to follow this up with for your risk of getting dementia/Alzheimers
http://www.neurobiologyofaging.org/article/S0197-4580(17)30167-7/fulltext



Highlights

  • Peripheral blood leukocyte transcripts can be used as a prognostic marker of progression to the clinical stages of Alzheimer’s disease in unimpaired older adults.
  • Peripheral blood leukocyte transcripts distinguish Parkinson’s disease from Alzheimer’s disease.
  • Peripheral blood leukocyte transcripts distinguish cognitively resilient apoe4 homozygotes.
  • The same peripheral blood leukocyte transcripts used to distinguish probable Alzheimer’s disease in blood samples were also able to distinguish neuropathologically confirmed Alzheimer’s disease in brain samples.

Abstract

The need for a reliable, simple and inexpensive blood test for Alzheimer’s disease (AD) suitable for use in a primary care setting is widely recognized. This has led to a large number of publications describing blood tests for AD, which have, for the most part, not been replicable. We have chosen to examine transcripts expressed by the cellular, leukocyte compartment of blood. We have used hypothesis based cDNA arrays and quantitative PCR to quantify expression of selected sets of genes followed by multivariate analyses in multiple independent samples. Rather than one study with no replicates we chose an experimental design in which there were multiple replicates using different platforms and different sample populations. We have divided 177 blood and 27 brain samples into multiple replicates to demonstrate the ability to distinguish early clinical AD (CDR 0.5), Parkinson’s disease (PD), and cognitively unimpaired APOE4 homozygotes, as well as to determine persons at risk for future cognitive impairment with significant accuracy. We assess our methods in a training/test set and also show that the variables we use distinguish AD, PD and control brain. Importantly, we describe variability of the weights assigned to individual transcripts in multivariate analyses in repeated studies and suggest that the variability we describe may be the cause of inability to repeat many prior studies. Our data constitute a proof of principle that multivariate analysis of the transcriptome related to cell stress and inflammation of peripheral blood leukocytes has significant potential as a minimally invasive and inexpensive diagnostic tool for diagnosis and early detection of risk for AD.

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