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Multidimensional plasma protein separation technique for identification of potential Alzheimer’s disease plasma biomarkers: a pilot study

Authors
  • Henkel, Andreas Wolfram1, 2
  • Müller, Katharina2
  • Lewczuk, Piotr2
  • Müller, Thorsten3
  • Marcus, Katrin3
  • Kornhuber, Johannes2
  • Wiltfang, Jens4
  • 1 Jabriya, Kuwait University, Department of Physiology, Faculty of Medicine, Safat, 13110, Kuwait , Safat (Kuwait)
  • 2 University Hospital of Erlangen, Department of Psychiatry and Psychotherapy, Schwabachanlage 6, Erlangen, 91054, Germany , Erlangen (Germany)
  • 3 Ruhr-University of Bochum, Medical Proteome Center, Universitätsstrasse 150, Bochum, 44801, Germany , Bochum (Germany)
  • 4 University of Duisburg Essen, Department of Psychiatry and Psychotherapy, Virchowstrasse 174, Essen, 45147, Germany , Essen (Germany)
Type
Published Article
Journal
Journal of Neural Transmission
Publisher
Springer Vienna
Publication Date
Mar 14, 2012
Volume
119
Issue
7
Pages
779–788
Identifiers
DOI: 10.1007/s00702-012-0781-3
Source
Springer Nature
Keywords
License
Yellow

Abstract

Neurochemical differential diagnosis between Alzheimer’s disease and other dementias is currently based on CSF biomarkers. Here, we report a method by which potential biomarkers can be identified in blood. Blood plasma samples from seven well-characterized Alzheimer’s patients and seven non-Alzheimer’s patients were subjected to a multi-dimensional protein separation procedure. After removal of 12 high-abundance proteins, the depleted samples from both diagnostic groups were labeled with different fluorescent dyes, mixed and separated by anion exchange and RP-chromatography. The resulting chromatography fractions were analyzed on 2D-gels. Twenty significant differentially expressed proteins were identified by mass spectrometry analysis. Ten of these proteins were either involved in the pathophysiology of Alzheimer’s disease or the amyloid/Aβ-peptide processing pathway. This work demonstrated a successful application of a multidimensional separation technique and holds the potential to identifying blood-based biomarkers for other diseases in the future.

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