Blood GFAP as an emerging biomarker in brain and spinal cord disorders

医学 胶质纤维酸性蛋白 创伤性脑损伤 血液检验 生物标志物 冲程(发动机) 生物信息学 病理 脊髓 重症监护医学 脊髓损伤 多发性硬化 内科学 免疫学 精神科 工程类 化学 免疫组织化学 生物 机械工程 生物化学
作者
Ahmed Abdelhak,Matteo Foschi,Samir Abu‐Rumeileh,John K. Yue,Lucio D’Anna,André Huss,Patrick Oeckl,Albert C. Ludolph,Jens Kühle,Axel Petzold,Geoffrey T. Manley,Ari J. Green,Hayrettin Tumani
出处
期刊:Nature Reviews Neurology [Springer Nature]
卷期号:18 (3): 158-172 被引量:217
标识
DOI:10.1038/s41582-021-00616-3
摘要

Blood-derived biomarkers for brain and spinal cord diseases are urgently needed. The introduction of highly sensitive immunoassays led to a rapid increase in the number of potential blood-derived biomarkers for diagnosis and monitoring of neurological disorders. In 2018, the FDA authorized a blood test for clinical use in the evaluation of mild traumatic brain injury (TBI). The test measures levels of the astrocytic intermediate filament glial fibrillary acidic protein (GFAP) and neuroaxonal marker ubiquitin carboxy-terminal hydrolase L1. In TBI, blood GFAP levels are correlated with clinical severity and extent of intracranial pathology. Evidence also indicates that blood GFAP levels hold the potential to reflect, and might enable prediction of, worsening of disability in individuals with progressive multiple sclerosis. A growing body of evidence suggests that blood GFAP levels can be used to detect even subtle injury to the CNS. Most importantly, the successful completion of the ongoing validation of point-of-care platforms for blood GFAP might ameliorate the decision algorithms for acute neurological diseases, such as TBI and stroke, with important economic implications. In this Review, we provide a systematic overview of the evidence regarding the utility of blood GFAP as a biomarker in neurological diseases. We propose a model for GFAP concentration dynamics in different conditions and discuss the limitations that hamper the widespread use of GFAP in the clinical setting. In our opinion, the clinical use of blood GFAP measurements has the potential to contribute to accelerated diagnosis and improved prognostication, and represents an important step forward in the era of precision medicine.
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