Literature DB >> 22855860

Plasma multianalyte profiling in mild cognitive impairment and Alzheimer disease.

William T Hu1, David M Holtzman, Anne M Fagan, Leslie M Shaw, Richard Perrin, Steven E Arnold, Murray Grossman, Chengjie Xiong, Rebecca Craig-Schapiro, Christopher M Clark, Eve Pickering, Max Kuhn, Yu Chen, Vivianna M Van Deerlin, Leo McCluskey, Lauren Elman, Jason Karlawish, Alice Chen-Plotkin, Howard I Hurtig, Andrew Siderowf, Frank Swenson, Virginia M-Y Lee, John C Morris, John Q Trojanowski, Holly Soares.   

Abstract

OBJECTIVES: While plasma biomarkers have been proposed to aid in the clinical diagnosis of Alzheimer disease (AD), few biomarkers have been validated in independent patient cohorts. Here we aim to determine plasma biomarkers associated with AD in 2 independent cohorts and validate the findings in the multicenter Alzheimer's Disease Neuroimaging Initiative (ADNI).
METHODS: Using a targeted proteomic approach, we measured levels of 190 plasma proteins and peptides in 600 participants from 2 independent centers (University of Pennsylvania, Philadelphia; Washington University, St. Louis, MO), and identified 17 analytes associated with the diagnosis of very mild dementia/mild cognitive impairment (MCI) or AD. Four analytes (apoE, B-type natriuretic peptide, C-reactive protein, pancreatic polypeptide) were also found to be altered in clinical MCI/AD in the ADNI cohort (n = 566). Regression analysis showed CSF Aβ42 levels and t-tau/Aβ42 ratios to correlate with the number of APOE4 alleles and plasma levels of B-type natriuretic peptide and pancreatic polypeptide.
CONCLUSION: Four plasma analytes were consistently associated with the diagnosis of very mild dementia/MCI/AD in 3 independent clinical cohorts. These plasma biomarkers may predict underlying AD through their association with CSF AD biomarkers, and the association between plasma and CSF amyloid biomarkers needs to be confirmed in a prospective study.

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Year:  2012        PMID: 22855860      PMCID: PMC3425844          DOI: 10.1212/WNL.0b013e318266fa70

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


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