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首页> 外文期刊>Brain research >Glial fibrillary acidic protein is a body fluid biomarker for glial pathology in human disease
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Glial fibrillary acidic protein is a body fluid biomarker for glial pathology in human disease

机译：胶质纤维酸性蛋白是人体疾病胶质病理的体液生物标志物

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This review on the role of glial fibrillary acidic protein (GFAP) as a biomarker for astroglial pathology in neurological diseases provides background to protein synthesis, assembly, function and degeneration. Qualitative and quantitative analytical techniques for the investigation of human tissue and biological fluid samples are discussed including partial lack of parallelism and multiplexing capabilities. Pathological implications are reviewed in view of immunocytochemical, cell-culture and genetic findings. Particular emphasis is given to neurodegeneration related to autoimmune astrocytopathies and to genetic gain of function mutations. The current literature on body fluid levels of GFAP in human disease is summarised and illustrated by disease specific meta-analyses. In addition to the role of GFAP as a diagnostic biomarker for chronic disease, there are important data on the prognostic value for acute conditions. The published evidence permits to classify the dominant GFAP signatures in biological fluids. This classification may serve as a template for supporting diagnostic criteria of autoimmune astrocytopathies, monitoring disease progression in toxic gain of function mutations, clinical treatment trials (secondary outcome and toxicity biomarker) and provide prognostic information in neurocritical care if used within well defined time-frames. (C) 2014 The Author. Published by Elsevier B.V.
机译：这项关于神经胶质纤维酸性蛋白（GFAP）作为星形胶质细胞病理学在神经系统疾病中的生物标记物的作用的综述提供了蛋白质合成，组装，功能和变性的背景。讨论了用于研究人体组织和生物流体样品的定性和定量分析技术，包括部分缺乏并行性和多路复用功能。鉴于免疫细胞化学，细胞培养和遗传学发现，对病理学意义进行了回顾。特别强调与自身免疫性星形细胞病变和功能突变的遗传增益相关的神经变性。通过疾病特异性荟萃分析总结和说明了有关人类疾病中GFAP体液水平的最新文献。除了GFAP作为慢性疾病的诊断生物标志物的作用外，还有关于急性疾病预后价值的重要数据。已发表的证据允许对生物流体中的主要GFAP签名进行分类。该分类可作为模板，支持自身免疫性星形细胞病的诊断标准，监测功能突变的毒性增加的疾病进展，临床治疗试验（次级结果和毒性生物标志物），如果在明确的时限内使用，可提供神经重症监护的预后信息。 （C）2014作者。由Elsevier B.V.发布

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