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Biomarkers in Motor Neuron Disease: A State of the Art Review
Motor neuron disease can be viewed as an umbrella term describing a heterogeneous group of conditions, all of which are relentlessly progressive and ultimately fatal. The average life expectancy is 2 years, but with a broad range of months to decades. Biomarker research deepens disease understanding...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456669/ https://www.ncbi.nlm.nih.gov/pubmed/31001186 http://dx.doi.org/10.3389/fneur.2019.00291 |
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author | Verber, Nick S. Shepheard, Stephanie R. Sassani, Matilde McDonough, Harry E. Moore, Sophie A. Alix, James J. P. Wilkinson, Iain D. Jenkins, Tom M. Shaw, Pamela J. |
author_facet | Verber, Nick S. Shepheard, Stephanie R. Sassani, Matilde McDonough, Harry E. Moore, Sophie A. Alix, James J. P. Wilkinson, Iain D. Jenkins, Tom M. Shaw, Pamela J. |
author_sort | Verber, Nick S. |
collection | PubMed |
description | Motor neuron disease can be viewed as an umbrella term describing a heterogeneous group of conditions, all of which are relentlessly progressive and ultimately fatal. The average life expectancy is 2 years, but with a broad range of months to decades. Biomarker research deepens disease understanding through exploration of pathophysiological mechanisms which, in turn, highlights targets for novel therapies. It also allows differentiation of the disease population into sub-groups, which serves two general purposes: (a) provides clinicians with information to better guide their patients in terms of disease progression, and (b) guides clinical trial design so that an intervention may be shown to be effective if population variation is controlled for. Biomarkers also have the potential to provide monitoring during clinical trials to ensure target engagement. This review highlights biomarkers that have emerged from the fields of systemic measurements including biochemistry (blood, cerebrospinal fluid, and urine analysis); imaging and electrophysiology, and gives examples of how a combinatorial approach may yield the best results. We emphasize the importance of systematic sample collection and analysis, and the need to correlate biomarker findings with detailed phenotype and genotype data. |
format | Online Article Text |
id | pubmed-6456669 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64566692019-04-18 Biomarkers in Motor Neuron Disease: A State of the Art Review Verber, Nick S. Shepheard, Stephanie R. Sassani, Matilde McDonough, Harry E. Moore, Sophie A. Alix, James J. P. Wilkinson, Iain D. Jenkins, Tom M. Shaw, Pamela J. Front Neurol Neurology Motor neuron disease can be viewed as an umbrella term describing a heterogeneous group of conditions, all of which are relentlessly progressive and ultimately fatal. The average life expectancy is 2 years, but with a broad range of months to decades. Biomarker research deepens disease understanding through exploration of pathophysiological mechanisms which, in turn, highlights targets for novel therapies. It also allows differentiation of the disease population into sub-groups, which serves two general purposes: (a) provides clinicians with information to better guide their patients in terms of disease progression, and (b) guides clinical trial design so that an intervention may be shown to be effective if population variation is controlled for. Biomarkers also have the potential to provide monitoring during clinical trials to ensure target engagement. This review highlights biomarkers that have emerged from the fields of systemic measurements including biochemistry (blood, cerebrospinal fluid, and urine analysis); imaging and electrophysiology, and gives examples of how a combinatorial approach may yield the best results. We emphasize the importance of systematic sample collection and analysis, and the need to correlate biomarker findings with detailed phenotype and genotype data. Frontiers Media S.A. 2019-04-03 /pmc/articles/PMC6456669/ /pubmed/31001186 http://dx.doi.org/10.3389/fneur.2019.00291 Text en Copyright © 2019 Verber, Shepheard, Sassani, McDonough, Moore, Alix, Wilkinson, Jenkins and Shaw. 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) and the copyright owner(s) 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 | Neurology Verber, Nick S. Shepheard, Stephanie R. Sassani, Matilde McDonough, Harry E. Moore, Sophie A. Alix, James J. P. Wilkinson, Iain D. Jenkins, Tom M. Shaw, Pamela J. Biomarkers in Motor Neuron Disease: A State of the Art Review |
title | Biomarkers in Motor Neuron Disease: A State of the Art Review |
title_full | Biomarkers in Motor Neuron Disease: A State of the Art Review |
title_fullStr | Biomarkers in Motor Neuron Disease: A State of the Art Review |
title_full_unstemmed | Biomarkers in Motor Neuron Disease: A State of the Art Review |
title_short | Biomarkers in Motor Neuron Disease: A State of the Art Review |
title_sort | biomarkers in motor neuron disease: a state of the art review |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456669/ https://www.ncbi.nlm.nih.gov/pubmed/31001186 http://dx.doi.org/10.3389/fneur.2019.00291 |
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