Unbiased approaches to biomarker discovery in neurodegenerative diseases.
Unbiased approaches to biomarker discovery in neurodegenerative diseases.
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DOI：
10.1016/j.neuron.2014.10.031
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发表时间：
2014-11-05
期刊：
影响因子：
16.2
通讯作者：
Chen-Plotkin, Alice S.
中科院分区：
文献类型：
--
作者：
Chen-Plotkin, Alice S.
神经退行性疾病如阿尔茨海默病、帕金森病、肌萎缩侧索硬化和额颞叶痴呆具有几个共同的重要特征。它们是渐进的，它们影响相对难以接近的器官，我们没有针对它们的疾病改善疗法。对于这些以脑为基础的疾病，目前对疾病严重程度的诊断和评估几乎完全依赖于临床检查，这可能只是对疾病状态的粗略近似。因此，生物标志物的发展-客观，相对容易测量和精确的致病过程的指标-可以改善病人的护理和加速治疗发现。然而，现有的，经过严格测试的神经退行性疾病生物标志物很少，甚至更少的生物标志物已转化为临床应用。为了找到这些疾病的新生物标志物，可能需要一种无偏见的高通量筛选方法。在这篇综述中，我将描述这种方法的潜在效用的生物标志物的发现，使用帕金森氏病作为一个案例。
Neurodegenerative diseases such as Alzheimer’s disease, Parkinson’s disease, amyotrophic lateral sclerosis, and frontotemporal dementia have several important features in common. They are progressive, they affect a relatively inaccessible organ, and we have no disease-modifying therapies for them. For these brain-based diseases, current diagnosis and evaluation of disease severity rely almost entirely on clinical examination, which may only be a rough approximation of disease state. Thus, the development of biomarkers – objective, relatively easily measured and precise indicators of pathogenic processes – could improve patient care and accelerate therapeutic discovery. Yet existing, rigorously tested neurodegenerative disease biomarkers are few, and even fewer biomarkers have translated into clinical use. To find new biomarkers for these diseases, an unbiased, high-throughput screening approach may be needed. In this review, I will describe the potential utility of such an approach to biomarker discovery, using Parkinson’s disease as a case example.
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