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Plasma Biomarkers of Brain Atrophy in Alzheimer's Disease

  • NIA National Institute on Aging (NIH)
  • Kings College London
  • Proteome Sci Plc, Cobham
  • Karolinska Institute
  • Medical University of Lodz
  • University of Perugia
  • Kuopio Univ Hosp
  • University of Eastern Finland
  • Aristotle University of Thessaloniki
  • Hop Toulouse, Dept Internal & Geriatr Med

Research output: Contribution to journal › Article › peer-review

112 Citations (Scopus)

Abstract

Peripheral biomarkers of Alzheimer's disease (AD) reflecting early neuropathological change are critical to the development of treatments for this condition. The most widely used indicator of AD pathology in life at present is neuroimaging evidence of brain atrophy. We therefore performed a proteomic analysis of plasma to derive biomarkers associated with brain atrophy in AD. Using gel based proteomics we previously identified seven plasma proteins that were significantly associated with hippocampal volume in a combined cohort of subjects with AD (N = 27) and MCI (N = 17). In the current report, we validated this finding in a large independent cohort of AD (N = 79), MCI (N = 88) and control (N = 95) subjects using alternative complementary methods-quantitative immunoassays for protein concentrations and estimation of pathology by whole brain volume. We confirmed that plasma concentrations of five proteins, together with age and sex, explained more than 35% of variance in whole brain volume in AD patients. These proteins are complement components C3 and C3a, complement factor-I, gamma-fibrinogen and alpha-1-microglobulin. Our findings suggest that these plasma proteins are strong predictors of in vivo AD pathology. Moreover, these proteins are involved in complement activation and coagulation, providing further evidence for an intrinsic role of these pathways in AD pathogenesis.
Original languageEnglish
Article numbere28527
JournalPL o S One
Volume6
Issue number12
DOIs
Publication statusPublished - 2011

Keywords

  • Blood Proteins
  • Reproducibility of Results
  • Humans
  • Alzheimer Disease
  • Brain
  • Least-Squares Analysis
  • Aged
  • Atrophy
  • Organ Size
  • Male
  • Female
  • Biological Markers

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