帕金森病液体和组织生物标志物的最新进展

IF 3.4 2区 医学 Q2 CLINICAL NEUROLOGY
Ravi Rajmohan, April Wen, Claire Henchcliffe
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引用次数: 0

摘要

简介:帕金森病(PD)是一种常见的神经退行性疾病,可导致运动和非运动障碍。广泛可及的基于液体或组织的生物标志物将补充神经成像,并可能允许更早的识别和更精确的跟踪。涵盖领域:作者回顾了2023年6月至2024年6月期间在PubMed数据库中索引的原始全文英语文章的最新进展。文章使用PubMed MESH术语“帕金森病”和“生物标志物”进行识别,这些术语侧重于使用基于液体或组织的生物标志物来区分PD患者与健康对照或其他条件的参与者。最有希望的新生物标志物是脑脊液或皮肤活检中测量α-突触核蛋白的生物标志物。这些研究的一个显着局限性是它们依赖于PD的临床诊断,大多数没有神经病理证实。专家意见:越来越多的证据支持脑脊液和皮肤活检检测α-突触核蛋白的有效性,以区分PD与健康对照,尽管还不能从α-突触核蛋白病的谱中区分,也不能从非α-突触核蛋白形式的帕金森病中区分。尽管如此,在运动症状出现之前检测出可能发展为PD的个体的潜力可能会彻底改变我们测试潜在预防干预措施的能力。机器学习方法为有效识别和验证新型生物标志物提供了有前途的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent advances in fluid and tissue-based biomarkers for use in Parkinson's disease.

Introduction: Parkinson's disease (PD) is a common neurodegenerative disease leading to motor and non-motor disabilities. Broadly accessible fluid- or tissue-based biomarkers will complement neuroimaging and may allow earlier identification and more precise tracking.

Areas covered: The authors have reviewed the recent advances from original full-text English-language articles that were indexed in the PubMed database between June 2023 and June 2024. Articles were identified using the PubMed MESH terms 'Parkinson's Disease' AND 'biomarkers' that focused on using a fluid or tissue-based biomarker to distinguish participants with PD from healthy controls or other conditions. The most promising new biomarkers are those measuring α-synuclein from cerebrospinal fluid or skin biopsy. A significant limitation of these studies is their reliance on a clinical diagnosis of PD, mostly without neuropathological confirmation.

Expert opinion: Mounting evidence supports the validity of CSF and skin biopsy-based detection of α-synuclein for the distinction of PD from healthy controls, although not yet from the spectrum of α-synucleinopathies nor from non-α-synuclein forms of parkinsonism. Nonetheless, the potential to detect individuals who will develop PD may revolutionize our ability to test potential preventive interventions before motor symptoms develop. Machine-learning approaches offer promising strategies for efficient identification and validation of novel biomarkers.

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来源期刊
Expert Review of Neurotherapeutics
Expert Review of Neurotherapeutics Medicine-Neurology (clinical)
CiteScore
7.00
自引率
2.30%
发文量
61
审稿时长
4-8 weeks
期刊介绍: Expert Review of Neurotherapeutics (ISSN 1473-7175) provides expert reviews on the use of drugs and medicines in clinical neurology and neuropsychiatry. Coverage includes disease management, new medicines and drugs in neurology, therapeutic indications, diagnostics, medical treatment guidelines and neurological diseases such as stroke, epilepsy, Alzheimer''s and Parkinson''s. Comprehensive coverage in each review is complemented by the unique Expert Review format and includes the following sections: Expert Opinion - a personal view of the data presented in the article, a discussion on the developments that are likely to be important in the future, and the avenues of research likely to become exciting as further studies yield more detailed results Article Highlights – an executive summary of the author’s most critical points
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