Current trends in biomarker discovery and analysis tools for traumatic brain injury

Abstract Traumatic brain injury (TBI) affects 1.7 million people in the United States each year, causing lifelong functional deficits in cognition and behavior. The complex pathophysiology of neural injury is a primary barrier to developing sensitive and specific diagnostic tools, which consequentia...

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Main Authors: Briana I. Martinez, Sarah E. Stabenfeldt
Format: Article
Language:English
Published: BMC 2019-02-01
Series:Journal of Biological Engineering
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13036-019-0145-8
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spelling doaj-8af9e8a220164dc69e9702b7472b677d2020-11-25T03:05:26ZengBMCJournal of Biological Engineering1754-16112019-02-0113111210.1186/s13036-019-0145-8Current trends in biomarker discovery and analysis tools for traumatic brain injuryBriana I. Martinez0Sarah E. Stabenfeldt1School of Life Sciences, Arizona State UniversitySchool of Biological and Health Systems Engineering, Ira A. Fulton School of Engineering, Arizona State UniversityAbstract Traumatic brain injury (TBI) affects 1.7 million people in the United States each year, causing lifelong functional deficits in cognition and behavior. The complex pathophysiology of neural injury is a primary barrier to developing sensitive and specific diagnostic tools, which consequentially has a detrimental effect on treatment regimens. Biomarkers of other diseases (e.g. cancer) have provided critical insight into disease emergence and progression that lend to developing powerful clinical tools for intervention. Therefore, the biomarker discovery field has recently focused on TBI and made substantial advancements to characterize markers with promise of transforming TBI patient diagnostics and care. This review focuses on these key advances in neural injury biomarkers discovery, including novel approaches spanning from omics-based approaches to imaging and machine learning as well as the evolution of established techniques.http://link.springer.com/article/10.1186/s13036-019-0145-8Traumatic brain injuryBiomarkersPhage displayOmicsImagingMachine learning
collection DOAJ
language English
format Article
sources DOAJ
author Briana I. Martinez
Sarah E. Stabenfeldt
spellingShingle Briana I. Martinez
Sarah E. Stabenfeldt
Current trends in biomarker discovery and analysis tools for traumatic brain injury
Journal of Biological Engineering
Traumatic brain injury
Biomarkers
Phage display
Omics
Imaging
Machine learning
author_facet Briana I. Martinez
Sarah E. Stabenfeldt
author_sort Briana I. Martinez
title Current trends in biomarker discovery and analysis tools for traumatic brain injury
title_short Current trends in biomarker discovery and analysis tools for traumatic brain injury
title_full Current trends in biomarker discovery and analysis tools for traumatic brain injury
title_fullStr Current trends in biomarker discovery and analysis tools for traumatic brain injury
title_full_unstemmed Current trends in biomarker discovery and analysis tools for traumatic brain injury
title_sort current trends in biomarker discovery and analysis tools for traumatic brain injury
publisher BMC
series Journal of Biological Engineering
issn 1754-1611
publishDate 2019-02-01
description Abstract Traumatic brain injury (TBI) affects 1.7 million people in the United States each year, causing lifelong functional deficits in cognition and behavior. The complex pathophysiology of neural injury is a primary barrier to developing sensitive and specific diagnostic tools, which consequentially has a detrimental effect on treatment regimens. Biomarkers of other diseases (e.g. cancer) have provided critical insight into disease emergence and progression that lend to developing powerful clinical tools for intervention. Therefore, the biomarker discovery field has recently focused on TBI and made substantial advancements to characterize markers with promise of transforming TBI patient diagnostics and care. This review focuses on these key advances in neural injury biomarkers discovery, including novel approaches spanning from omics-based approaches to imaging and machine learning as well as the evolution of established techniques.
topic Traumatic brain injury
Biomarkers
Phage display
Omics
Imaging
Machine learning
url http://link.springer.com/article/10.1186/s13036-019-0145-8
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