Practical detection of a definitive biomarker panel for Alzheimer's disease: comparisons between matched plasma and cerebrospinal fluid

Previous mass spectrometry analysis of cerebrospinal fluid (CSF) has allowed the identification of a panel of molecular markers that are associated with Alzheimer’s disease (AD). The panel comprises Amyloid beta, Apolipoprotein E, Fibrinogen alpha chain precursor, Keratin type I cytoskeletal 9, Seru...

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Main Authors: Richens, Joanna L., Vere, Kelly-Ann, Light, Roger A., Soria, Daniele, Garibaldi, Jonathan, Smith, A. David, Warden, Donald, Wilcock, Gordon, Bajaj, Nin, Morgan, Kevin, O’Shea, Paul
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Published: 2014
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Online Access:https://eprints.nottingham.ac.uk/28163/
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author Richens, Joanna L.
Vere, Kelly-Ann
Light, Roger A.
Soria, Daniele
Garibaldi, Jonathan
Smith, A. David
Warden, Donald
Wilcock, Gordon
Bajaj, Nin
Morgan, Kevin
O’Shea, Paul
author_facet Richens, Joanna L.
Vere, Kelly-Ann
Light, Roger A.
Soria, Daniele
Garibaldi, Jonathan
Smith, A. David
Warden, Donald
Wilcock, Gordon
Bajaj, Nin
Morgan, Kevin
O’Shea, Paul
author_sort Richens, Joanna L.
building Nottingham Research Data Repository
collection Online Access
description Previous mass spectrometry analysis of cerebrospinal fluid (CSF) has allowed the identification of a panel of molecular markers that are associated with Alzheimer’s disease (AD). The panel comprises Amyloid beta, Apolipoprotein E, Fibrinogen alpha chain precursor, Keratin type I cytoskeletal 9, Serum albumin precursor, SPARC-like 1 protein and Tetranectin. Here we report the development and implementation of immunoassays to measure the abundance and diagnostic capacity of these putative biomarkers in matched lumbar CSF and blood plasma samples taken in life from individuals confirmed at post-mortem as suffering from AD (n=10) and from screened ‘cognitively healthy’ subjects (n=18). The inflammatory components of Alzheimer’s disease were also investigated. Employment of supervised learning techniques permitted examination of the interrelated expression patterns of the putative biomarkers and identified inflammatory components, resulting in biomarker panels with a diagnostic accuracy of 87.5% and 86.7% for the plasma and CSF datasets respectively. This is extremely important as it offers an ideal high-throughput and relatively inexpensive population screening approach. It appears possible to determine the presence or absence of AD based on our biomarker panel and it seems likely that a cheap and rapid blood test for AD is feasible.
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spelling nottingham-281632020-05-04T20:17:44Z https://eprints.nottingham.ac.uk/28163/ Practical detection of a definitive biomarker panel for Alzheimer's disease: comparisons between matched plasma and cerebrospinal fluid Richens, Joanna L. Vere, Kelly-Ann Light, Roger A. Soria, Daniele Garibaldi, Jonathan Smith, A. David Warden, Donald Wilcock, Gordon Bajaj, Nin Morgan, Kevin O’Shea, Paul Previous mass spectrometry analysis of cerebrospinal fluid (CSF) has allowed the identification of a panel of molecular markers that are associated with Alzheimer’s disease (AD). The panel comprises Amyloid beta, Apolipoprotein E, Fibrinogen alpha chain precursor, Keratin type I cytoskeletal 9, Serum albumin precursor, SPARC-like 1 protein and Tetranectin. Here we report the development and implementation of immunoassays to measure the abundance and diagnostic capacity of these putative biomarkers in matched lumbar CSF and blood plasma samples taken in life from individuals confirmed at post-mortem as suffering from AD (n=10) and from screened ‘cognitively healthy’ subjects (n=18). The inflammatory components of Alzheimer’s disease were also investigated. Employment of supervised learning techniques permitted examination of the interrelated expression patterns of the putative biomarkers and identified inflammatory components, resulting in biomarker panels with a diagnostic accuracy of 87.5% and 86.7% for the plasma and CSF datasets respectively. This is extremely important as it offers an ideal high-throughput and relatively inexpensive population screening approach. It appears possible to determine the presence or absence of AD based on our biomarker panel and it seems likely that a cheap and rapid blood test for AD is feasible. 2014 Article PeerReviewed Richens, Joanna L., Vere, Kelly-Ann, Light, Roger A., Soria, Daniele, Garibaldi, Jonathan, Smith, A. David, Warden, Donald, Wilcock, Gordon, Bajaj, Nin, Morgan, Kevin and O’Shea, Paul (2014) Practical detection of a definitive biomarker panel for Alzheimer's disease: comparisons between matched plasma and cerebrospinal fluid. International Journal of Molecular Epidemiology and Genetics, 5 (2). pp. 53-70. ISSN 1948-1756 Alzheimer’s disease biomarker blood plasma cerebrospinal fluid http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4065395/
spellingShingle Alzheimer’s disease
biomarker
blood plasma
cerebrospinal fluid
Richens, Joanna L.
Vere, Kelly-Ann
Light, Roger A.
Soria, Daniele
Garibaldi, Jonathan
Smith, A. David
Warden, Donald
Wilcock, Gordon
Bajaj, Nin
Morgan, Kevin
O’Shea, Paul
Practical detection of a definitive biomarker panel for Alzheimer's disease: comparisons between matched plasma and cerebrospinal fluid
title Practical detection of a definitive biomarker panel for Alzheimer's disease: comparisons between matched plasma and cerebrospinal fluid
title_full Practical detection of a definitive biomarker panel for Alzheimer's disease: comparisons between matched plasma and cerebrospinal fluid
title_fullStr Practical detection of a definitive biomarker panel for Alzheimer's disease: comparisons between matched plasma and cerebrospinal fluid
title_full_unstemmed Practical detection of a definitive biomarker panel for Alzheimer's disease: comparisons between matched plasma and cerebrospinal fluid
title_short Practical detection of a definitive biomarker panel for Alzheimer's disease: comparisons between matched plasma and cerebrospinal fluid
title_sort practical detection of a definitive biomarker panel for alzheimer's disease: comparisons between matched plasma and cerebrospinal fluid
topic Alzheimer’s disease
biomarker
blood plasma
cerebrospinal fluid
url https://eprints.nottingham.ac.uk/28163/
https://eprints.nottingham.ac.uk/28163/