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Multivariate Analysis of Traumatic Brain Injury: Development of an Assessment Score
Important challenges for the diagnosis and monitoring of mild traumatic brain injury (mTBI) include the development of plasma biomarkers for assessing neurologic injury, monitoring pathogenesis, and predicting vulnerability for the development of untoward neurologic outcomes. While several biomarker...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4378282/ https://www.ncbi.nlm.nih.gov/pubmed/25870583 http://dx.doi.org/10.3389/fneur.2015.00068 |
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author | Buonora, John E. Yarnell, Angela M. Lazarus, Rachel C. Mousseau, Michael Latour, Lawrence L. Rizoli, Sandro B. Baker, Andrew J. Rhind, Shawn G. Diaz-Arrastia, Ramon Mueller, Gregory P. |
author_facet | Buonora, John E. Yarnell, Angela M. Lazarus, Rachel C. Mousseau, Michael Latour, Lawrence L. Rizoli, Sandro B. Baker, Andrew J. Rhind, Shawn G. Diaz-Arrastia, Ramon Mueller, Gregory P. |
author_sort | Buonora, John E. |
collection | PubMed |
description | Important challenges for the diagnosis and monitoring of mild traumatic brain injury (mTBI) include the development of plasma biomarkers for assessing neurologic injury, monitoring pathogenesis, and predicting vulnerability for the development of untoward neurologic outcomes. While several biomarker proteins have shown promise in this regard, used individually, these candidates lack adequate sensitivity and/or specificity for making a definitive diagnosis or identifying those at risk of subsequent pathology. The objective for this study was to evaluate a panel of six recognized and novel biomarker candidates for the assessment of TBI in adult patients. The biomarkers studied were selected on the basis of their relative brain-specificities and potentials to reflect distinct features of TBI mechanisms including (1) neuronal damage assessed by neuron-specific enolase (NSE) and brain derived neurotrophic factor (BDNF); (2) oxidative stress assessed by peroxiredoxin 6 (PRDX6); (3) glial damage and gliosis assessed by glial fibrillary acidic protein and S100 calcium binding protein beta (S100b); (4) immune activation assessed by monocyte chemoattractant protein 1/chemokine (C–C motif) ligand 2 (MCP1/CCL2); and (5) disruption of the intercellular adhesion apparatus assessed by intercellular adhesion protein-5 (ICAM-5). The combined fold-changes in plasma levels of PRDX6, S100b, MCP1, NSE, and BDNF resulted in the formulation of a TBI assessment score that identified mTBI with a receiver operating characteristic (ROC) area under the curve of 0.97, when compared to healthy controls. This research demonstrates that a profile of biomarker responses can be used to formulate a diagnostic score that is sensitive for the detection of mTBI. Ideally, this multivariate assessment strategy will be refined with additional biomarkers that can effectively assess the spectrum of TBI and identify those at particular risk for developing neuropathologies as consequence of a mTBI event. |
format | Online Article Text |
id | pubmed-4378282 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-43782822015-04-13 Multivariate Analysis of Traumatic Brain Injury: Development of an Assessment Score Buonora, John E. Yarnell, Angela M. Lazarus, Rachel C. Mousseau, Michael Latour, Lawrence L. Rizoli, Sandro B. Baker, Andrew J. Rhind, Shawn G. Diaz-Arrastia, Ramon Mueller, Gregory P. Front Neurol Neuroscience Important challenges for the diagnosis and monitoring of mild traumatic brain injury (mTBI) include the development of plasma biomarkers for assessing neurologic injury, monitoring pathogenesis, and predicting vulnerability for the development of untoward neurologic outcomes. While several biomarker proteins have shown promise in this regard, used individually, these candidates lack adequate sensitivity and/or specificity for making a definitive diagnosis or identifying those at risk of subsequent pathology. The objective for this study was to evaluate a panel of six recognized and novel biomarker candidates for the assessment of TBI in adult patients. The biomarkers studied were selected on the basis of their relative brain-specificities and potentials to reflect distinct features of TBI mechanisms including (1) neuronal damage assessed by neuron-specific enolase (NSE) and brain derived neurotrophic factor (BDNF); (2) oxidative stress assessed by peroxiredoxin 6 (PRDX6); (3) glial damage and gliosis assessed by glial fibrillary acidic protein and S100 calcium binding protein beta (S100b); (4) immune activation assessed by monocyte chemoattractant protein 1/chemokine (C–C motif) ligand 2 (MCP1/CCL2); and (5) disruption of the intercellular adhesion apparatus assessed by intercellular adhesion protein-5 (ICAM-5). The combined fold-changes in plasma levels of PRDX6, S100b, MCP1, NSE, and BDNF resulted in the formulation of a TBI assessment score that identified mTBI with a receiver operating characteristic (ROC) area under the curve of 0.97, when compared to healthy controls. This research demonstrates that a profile of biomarker responses can be used to formulate a diagnostic score that is sensitive for the detection of mTBI. Ideally, this multivariate assessment strategy will be refined with additional biomarkers that can effectively assess the spectrum of TBI and identify those at particular risk for developing neuropathologies as consequence of a mTBI event. Frontiers Media S.A. 2015-03-30 /pmc/articles/PMC4378282/ /pubmed/25870583 http://dx.doi.org/10.3389/fneur.2015.00068 Text en Copyright © 2015 Buonora, Yarnell, Lazarus, Mousseau, Latour, Rizoli, Baker, Rhind, Diaz-Arrastia and Mueller. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Buonora, John E. Yarnell, Angela M. Lazarus, Rachel C. Mousseau, Michael Latour, Lawrence L. Rizoli, Sandro B. Baker, Andrew J. Rhind, Shawn G. Diaz-Arrastia, Ramon Mueller, Gregory P. Multivariate Analysis of Traumatic Brain Injury: Development of an Assessment Score |
title | Multivariate Analysis of Traumatic Brain Injury: Development of an Assessment Score |
title_full | Multivariate Analysis of Traumatic Brain Injury: Development of an Assessment Score |
title_fullStr | Multivariate Analysis of Traumatic Brain Injury: Development of an Assessment Score |
title_full_unstemmed | Multivariate Analysis of Traumatic Brain Injury: Development of an Assessment Score |
title_short | Multivariate Analysis of Traumatic Brain Injury: Development of an Assessment Score |
title_sort | multivariate analysis of traumatic brain injury: development of an assessment score |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4378282/ https://www.ncbi.nlm.nih.gov/pubmed/25870583 http://dx.doi.org/10.3389/fneur.2015.00068 |
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