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Prediction of clinical progression in nervous system diseases: plasma glial fibrillary acidic protein (GFAP).
- Source :
- European Journal of Medical Research; 1/12/2024, Vol. 29 Issue 1, p1-15, 15p
- Publication Year :
- 2024
-
Abstract
- Glial fibrillary acidic protein (GFAP), an intracellular type III intermediate filament protein, provides structural support and maintains the mechanical integrity of astrocytes. It is predominantly found in the astrocytes which are the most abundant subtypes of glial cells in the brain and spinal cord. As a marker protein of astrocytes, GFAP may exert a variety of physiological effects in neurological diseases. For example, previous published literatures showed that autoimmune GFAP astrocytopathy is an inflammatory disease of the central nervous system (CNS). Moreover, the studies of GFAP in brain tumors mainly focus on the predictive value of tumor volume. Furthermore, using biomarkers in the early setting will lead to a simplified and standardized way to estimate the poor outcome in traumatic brain injury (TBI) and ischemic stroke. Recently, observational studies revealed that cerebrospinal fluid (CSF) GFAP, as a valuable potential diagnostic biomarker for neurosyphilis, had a sensitivity of 76.60% and specificity of 85.56%. The reason plasma GFAP could serve as a promising biomarker for diagnosis and prediction of Alzheimer's disease (AD) is that it effectively distinguished AD dementia from multiple neurodegenerative diseases and predicted the individual risk of AD progression. In addition, GFAP can be helpful in differentiating relapsing–remitting multiple sclerosis (RRMS) versus progressive MS (PMS). This review article aims to provide an overview of GFAP in the prediction of clinical progression in neuroinflammation, brain tumors, TBI, ischemic stroke, genetic disorders, neurodegeneration and other diseases in the CNS and to explore the potential therapeutic methods. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09492321
- Volume :
- 29
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- European Journal of Medical Research
- Publication Type :
- Academic Journal
- Accession number :
- 174800022
- Full Text :
- https://doi.org/10.1186/s40001-023-01631-4