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神经生长因子在淋巴细胞中的表达:帕金森病、肌萎缩侧索硬化症和共济失调中退化的有力指标。

Neurotrophin Expression in Lymphocytes: a Powerful Indicator of Degeneration in Parkinson's Disease, Amyotrophic Lateral Sclerosis and Ataxia.

机构信息

Department of Biochemistry, University of Madras, Guindy Campus, Chennai, Tamil Nadu, -600025, India.

Department of Neurology and Neurosurgery, Madras Medical College, Chennai, Tamil Nadu, -600003, India.

出版信息

J Mol Neurosci. 2018 Feb;64(2):224-232. doi: 10.1007/s12031-017-1014-x. Epub 2017 Dec 16.

Abstract

Deregulated neurotrophin is an etiological factor in the pathology of neurodegenerative diseases (ND) that are clinically different entities but characterised by similar limb dysfunction. Earlier validation of peripheral biomarkers can provide significant translational benefit to ND patients. We analysed brain-derived neurotrophic factor (BDNF)-tropomyosin possessing tyrosine-related kinase (Trk B) and its key downstream proteins which are implicated in ND such as Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS) and ataxia. Blood from ND patients with PD, ALS and Ataxia with movement dysfunctions were obtained to analyse mRNA and protein expressions of the above mentioned factors in lymphocytes. The mRNA and protein expression of BDNF-Trk B and its key downstream molecules showed a significant variation when compared to control and among NDs. The study intends to show that on identifying the variation of these key molecules in the blood samples of patients with ND can serve as early diagnostic candidates. Thus by intervening, the neurotrophins and their pathways can help in early diagnosis and optimising levels of diagnostic certainty.

摘要

神经营养因子失调是神经退行性疾病(ND)病理学的一个病因,这些疾病在临床上是不同的实体,但具有相似的肢体功能障碍。外周生物标志物的早期验证可以为 ND 患者提供显著的转化效益。我们分析了脑源性神经营养因子(BDNF)-原肌球蛋白具有酪氨酸相关激酶(Trk B)及其关键下游蛋白,这些蛋白与 ND 有关,如帕金森病(PD)、肌萎缩性侧索硬化症(ALS)和共济失调。从有运动功能障碍的 PD、ALS 和共济失调 ND 患者中获取血液,以分析淋巴细胞中上述因子的 mRNA 和蛋白表达。BDNF-Trk B 及其关键下游分子的 mRNA 和蛋白表达与对照组和 ND 之间存在显著差异。该研究旨在表明,在 ND 患者的血液样本中识别这些关键分子的变化可以作为早期诊断候选物。因此,通过干预神经营养因子及其通路,可以帮助进行早期诊断,并优化诊断确定性的水平。

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