Blood biomarkers for assessment of mild traumatic brain injury and chronic traumatic encephalopathy.
Matthew I HiskensAnthony G SchneidersMariana Angoa-PérezRebecca K VellaAndrew S FenningPublished in: Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals (2020)
Mild traumatic brain injuries (mTBI) are prevalent and can result in significant debilitation. Current diagnostic methods have implicit limitations, with clinical assessment tools reliant on subjective self-reported symptoms or non-specific clinical observations, and commonly available imaging techniques lacking sufficient sensitivity to detect mTBI. A blood biomarker would provide a readily accessible detector of mTBI to meet the current measurement gap. Suitable options would provide objective and quantifiable information in diagnosing mTBI, in monitoring recovery, and in establishing a prognosis of resultant neurodegenerative disease, such as chronic traumatic encephalopathy (CTE). A biomarker would also assist in progressing research, providing suitable endpoints for testing therapeutic modalities and for further exploring mTBI pathophysiology. This review highlights the most promising blood-based protein candidates that are expressed in the central nervous system (CNS) and released into systemic circulation following mTBI. To date, neurofilament light (NF-L) may be the most suitable candidate for assessing neuronal damage, and glial fibrillary acidic protein (GFAP) for assessing astrocyte activation, although further work is required. Ultimately, the heterogeneity of cells in the brain and each marker's limitations may require a combination of biomarkers, and recent developments in microRNA (miRNA) markers of mTBI show promise and warrant further exploration.
Keyphrases
- mild traumatic brain injury
- spinal cord injury
- oxidative stress
- induced apoptosis
- resting state
- early onset
- signaling pathway
- cerebral ischemia
- blood brain barrier
- small molecule
- single cell
- spinal cord
- immune response
- cell proliferation
- sleep quality
- amino acid
- magnetic resonance
- depressive symptoms
- inflammatory response
- healthcare
- machine learning
- deep learning
- big data
- photodynamic therapy
- pi k akt
- endoplasmic reticulum stress
- cell death