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CC BY 4.0 · Indian Journal of Neurotrauma 2023; 20(01): 004-010
DOI: 10.1055/s-0042-1759853
Review Article

Biomarkers in Traumatic Brain Injuries: Narrative Review

Vishram Pandey
1   Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
,
Dhaval Shukla
1   Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
,
Shubham Nirmal 
1   Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
,
Bhagavatula Indira Devi
1   Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
,
Rita Christopher
1   Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
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Abstract

Traumatic brain injury (TBI) is a multistep interaction of brain antigens, cytokine-mediated humeral, and cellular immune reactions. Because of the limitations of clinical and radiological evaluation in TBI, there has been a considerable advancement toward the need for developing biomarkers that can predict the severity of TBI. Blood-based brain biomarkers hold the potential to predict the absence of intracranial injury and thus decrease unnecessary brain computed tomographic scanning. Various biomarkers have been studied that detects neuronal, axonal, and blood–brain barrier integrity. Biomarkers are still under investigation and hold promise in the future evaluation of TBI patients. They can be used for grading as well as a prognostication of head injury.

Keywords

traumatic brain injury - biomarkers - UCHL-1 - GFAP - inflammatory markers

Note

This work is part of a project titled “Development of a serum biomarker panel for predicting outcome of traumatic brain injuries,” Funded by ICMR. ICMR/007/306/2018/01056.




Publication History

Article published online:
23 December 2022

© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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