Unraveling Pathophysiological Mechanisms of Parkinson's Disease: Contribution of CSF Biomarkers.

IF 3.4 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Biomarker Insights Pub Date : 2020-10-12 eCollection Date: 2020-01-01 DOI:10.1177/1177271920964077
Lucia Farotti, Federico Paolini Paoletti, Simone Simoni, Lucilla Parnetti
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引用次数: 4

Abstract

Diagnosis of Parkinson's disease (PD) relies on clinical history and physical examination, but misdiagnosis is common in early stages. Identification of biomarkers for PD may allow for early and more precise diagnosis and provide information about prognosis. Developments in analytical chemistry allow for the detection of a large number of molecules in cerebrospinal fluid (CSF), which are known to be associated with the pathogenesis of PD. Given the pathophysiology of PD, CSF α-synuclein species have the strongest rationale for use, also providing encouraging preliminary results in terms of early diagnosis. In the field of classical Alzheimer's disease (AD) biomarkers, low CSF Aβ42 levels have shown a robust prognostic value in terms of development of cognitive impairment. Other CSF biomarkers including lysosomal enzymes, neurofilament light chain, markers of neuroinflammation and oxidative stress, although promising, have not proved to be reliable for diagnostic and prognostic purposes yet. Overall, the implementation of CSF biomarkers may give a substantial contribution to the optimal use of disease-modifying drugs.

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揭示帕金森病的病理生理机制:脑脊液生物标志物的贡献。
帕金森病(PD)的诊断依赖于临床病史和体格检查,但早期误诊是常见的。识别帕金森病的生物标志物可能有助于早期和更准确的诊断,并提供有关预后的信息。分析化学的发展允许检测脑脊液(CSF)中的大量分子,这些分子已知与PD的发病机制有关。考虑到PD的病理生理,CSF α-突触核蛋白具有最强的使用理由,在早期诊断方面也提供了令人鼓舞的初步结果。在经典的阿尔茨海默病(AD)生物标志物领域,低脑脊液a β42水平在认知障碍的发展方面显示出强大的预后价值。其他脑脊液生物标志物,包括溶酶体酶、神经丝轻链、神经炎症和氧化应激标志物,虽然有希望,但尚未被证明是可靠的诊断和预后目的。总之,脑脊液生物标志物的实施可能会对疾病改善药物的最佳使用做出实质性的贡献。
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来源期刊
Biomarker Insights
Biomarker Insights MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
6.00
自引率
0.00%
发文量
26
审稿时长
8 weeks
期刊介绍: An open access, peer reviewed electronic journal that covers all aspects of biomarker research and clinical applications.
期刊最新文献
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