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Current and Emerging Technologies for Probing Molecular Signatures of Traumatic Brain Injury
Traumatic brain injury (TBI) is understood as an interplay between the initial injury, subsequent secondary injuries, and a complex host response all of which are highly heterogeneous. An understanding of the underlying biology suggests a number of windows where mechanistically inspired intervention...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5582086/ https://www.ncbi.nlm.nih.gov/pubmed/28912750 http://dx.doi.org/10.3389/fneur.2017.00450 |
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author | Ercole, Ari Magnoni, Sandra Vegliante, Gloria Pastorelli, Roberta Surmacki, Jakub Bohndiek, Sarah Elizabeth Zanier, Elisa R. |
author_facet | Ercole, Ari Magnoni, Sandra Vegliante, Gloria Pastorelli, Roberta Surmacki, Jakub Bohndiek, Sarah Elizabeth Zanier, Elisa R. |
author_sort | Ercole, Ari |
collection | PubMed |
description | Traumatic brain injury (TBI) is understood as an interplay between the initial injury, subsequent secondary injuries, and a complex host response all of which are highly heterogeneous. An understanding of the underlying biology suggests a number of windows where mechanistically inspired interventions could be targeted. Unfortunately, biologically plausible therapies have to-date failed to translate into clinical practice. While a number of stereotypical pathways are now understood to be involved, current clinical characterization is too crude for it to be possible to characterize the biological phenotype in a truly mechanistically meaningful way. In this review, we examine current and emerging technologies for fuller biochemical characterization by the simultaneous measurement of multiple, diverse biomarkers. We describe how clinically available techniques such as cerebral microdialysis can be leveraged to give mechanistic insights into TBI pathobiology and how multiplex proteomic and metabolomic techniques can give a more complete description of the underlying biology. We also describe spatially resolved label-free multiplex techniques capable of probing structural differences in chemical signatures. Finally, we touch on the bioinformatics challenges that result from the acquisition of such large amounts of chemical data in the search for a more mechanistically complete description of the TBI phenotype. |
format | Online Article Text |
id | pubmed-5582086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55820862017-09-14 Current and Emerging Technologies for Probing Molecular Signatures of Traumatic Brain Injury Ercole, Ari Magnoni, Sandra Vegliante, Gloria Pastorelli, Roberta Surmacki, Jakub Bohndiek, Sarah Elizabeth Zanier, Elisa R. Front Neurol Neuroscience Traumatic brain injury (TBI) is understood as an interplay between the initial injury, subsequent secondary injuries, and a complex host response all of which are highly heterogeneous. An understanding of the underlying biology suggests a number of windows where mechanistically inspired interventions could be targeted. Unfortunately, biologically plausible therapies have to-date failed to translate into clinical practice. While a number of stereotypical pathways are now understood to be involved, current clinical characterization is too crude for it to be possible to characterize the biological phenotype in a truly mechanistically meaningful way. In this review, we examine current and emerging technologies for fuller biochemical characterization by the simultaneous measurement of multiple, diverse biomarkers. We describe how clinically available techniques such as cerebral microdialysis can be leveraged to give mechanistic insights into TBI pathobiology and how multiplex proteomic and metabolomic techniques can give a more complete description of the underlying biology. We also describe spatially resolved label-free multiplex techniques capable of probing structural differences in chemical signatures. Finally, we touch on the bioinformatics challenges that result from the acquisition of such large amounts of chemical data in the search for a more mechanistically complete description of the TBI phenotype. Frontiers Media S.A. 2017-08-30 /pmc/articles/PMC5582086/ /pubmed/28912750 http://dx.doi.org/10.3389/fneur.2017.00450 Text en Copyright © 2017 Ercole, Magnoni, Vegliante, Pastorelli, Surmacki, Bohndiek and Zanier. 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 Ercole, Ari Magnoni, Sandra Vegliante, Gloria Pastorelli, Roberta Surmacki, Jakub Bohndiek, Sarah Elizabeth Zanier, Elisa R. Current and Emerging Technologies for Probing Molecular Signatures of Traumatic Brain Injury |
title | Current and Emerging Technologies for Probing Molecular Signatures of Traumatic Brain Injury |
title_full | Current and Emerging Technologies for Probing Molecular Signatures of Traumatic Brain Injury |
title_fullStr | Current and Emerging Technologies for Probing Molecular Signatures of Traumatic Brain Injury |
title_full_unstemmed | Current and Emerging Technologies for Probing Molecular Signatures of Traumatic Brain Injury |
title_short | Current and Emerging Technologies for Probing Molecular Signatures of Traumatic Brain Injury |
title_sort | current and emerging technologies for probing molecular signatures of traumatic brain injury |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5582086/ https://www.ncbi.nlm.nih.gov/pubmed/28912750 http://dx.doi.org/10.3389/fneur.2017.00450 |
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