Literature DB >> 23084373

Feasibility of an early Alzheimer's disease immunosignature diagnostic test.

Lucas Restrepo1, Phillip Stafford, Stephen Albert Johnston.   

Abstract

A practical diagnostic test is needed for early Alzheimer's disease (AD) detection. Immunosignaturing, a technology that employs antibody binding to a random-sequence peptide microarray, generates profiles that distinguish transgenic mice engineered with familial AD mutations (APPswe/PSEN1-dE9) from non-transgenic littermates. It can also detect an AD-like signature in humans. Here, we assess the changes in the immunosignature at different time points of the disease in mice and humans. We also evaluate the accuracy of the late-stage signature as a test to discriminate between young mice with familial AD mutations from non-transgenic littermates. Plasma samples from AD patients were assayed 3-12 months apart, while APPswe/PSEN1-dE9 and non-transgenic controls supplied plasma at monthly intervals until they reached 15 months of age. Microarrays with 10,000 random-sequence peptides were used to compare antibody binding patterns. These patterns gradually changed over the life-span of mice. Strong, characteristic signatures were observed in transgenic mice at early, mid and late stages, but these profiles had minimal overlap. The signature of young transgenic mice had an error rate of 18% at classifying plasma samples from late-stage transgenic mice. Conversely, the late-stage transgenic mice signature discriminated between young transgenic mice and littermates with an error rate of 21%. Less distinctive profiles were recognizable throughout the transgenic mice lifespan, being detectable as early as 2 months. The human signature had minimal change on short-term follow-up. Our results call for a reappraisal of the way incipient AD is studied, as biomarkers seen in late-stages of the disease may not be relevant in earlier stages.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23084373     DOI: 10.1016/j.jneuroim.2012.09.014

Source DB:  PubMed          Journal:  J Neuroimmunol        ISSN: 0165-5728            Impact factor:   3.478


  16 in total

1.  Antibody biomarker discovery through in vitro directed evolution of consensus recognition epitopes.

Authors:  John T Ballew; Joseph A Murray; Pekka Collin; Markku Mäki; Martin F Kagnoff; Katri Kaukinen; Patrick S Daugherty
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-12       Impact factor: 11.205

2.  Epitope identification from fixed-complexity random-sequence peptide microarrays.

Authors:  Josh Richer; Stephen Albert Johnston; Phillip Stafford
Journal:  Mol Cell Proteomics       Date:  2014-11-03       Impact factor: 5.911

3.  Immunosignature system for diagnosis of cancer.

Authors:  Phillip Stafford; Zbigniew Cichacz; Neal W Woodbury; Stephen Albert Johnston
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-14       Impact factor: 11.205

4.  Diagnosis and early detection of CNS-SLE in MRL/lpr mice using peptide microarrays.

Authors:  Stephanie Williams; Phillip Stafford; Steven A Hoffman
Journal:  BMC Immunol       Date:  2014-06-07       Impact factor: 3.615

Review 5.  Evaluating biomarkers in melanoma.

Authors:  Panagiotis Karagiannis; Matthew Fittall; Sophia N Karagiannis
Journal:  Front Oncol       Date:  2015-01-23       Impact factor: 6.244

Review 6.  Autoantibodies in Alzheimer's disease: potential biomarkers, pathogenic roles, and therapeutic implications.

Authors:  Jianming Wu; Ling Li
Journal:  J Biomed Res       Date:  2016-01-02

7.  A General Method to Discover Epitopes from Sera.

Authors:  Kurt Whittemore; Stephen Albert Johnston; Kathryn Sykes; Luhui Shen
Journal:  PLoS One       Date:  2016-06-14       Impact factor: 3.240

8.  Time-Frequency Analysis of Peptide Microarray Data: Application to Brain Cancer Immunosignatures.

Authors:  Brian O'Donnell; Alexander Maurer; Antonia Papandreou-Suppappola; Phillip Stafford
Journal:  Cancer Inform       Date:  2015-06-18

9.  Elevated IgG4 in patient circulation is associated with the risk of disease progression in melanoma.

Authors:  Panagiotis Karagiannis; Federica Villanova; Debra H Josephs; Isabel Correa; Mieke Van Hemelrijck; Carl Hobbs; Louise Saul; Isioma U Egbuniwe; Isabella Tosi; Kristina M Ilieva; Emma Kent; Eduardo Calonje; Mark Harries; Ian Fentiman; Joyce Taylor-Papadimitriou; Joy Burchell; James F Spicer; Katie E Lacy; Frank O Nestle; Sophia N Karagiannis
Journal:  Oncoimmunology       Date:  2015-06-03       Impact factor: 8.110

10.  The immunosignature of canine lymphoma: characterization and diagnostic application.

Authors:  Stephen Albert Johnston; Douglas H Thamm; Joseph Barten Legutki
Journal:  BMC Cancer       Date:  2014-09-08       Impact factor: 4.430

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