Refining α-synuclein seed amplification assays to distinguish Parkinson's disease from multiple system atrophy.

IF 10.8 1区 医学 Q1 NEUROSCIENCES
James A Wiseman, Clinton P Turner, Richard L M Faull, Glenda M Halliday, Birger Victor Dieriks
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引用次数: 0

Abstract

Background: Parkinson's disease (PD) and multiple system atrophy (MSA) are two distinct α-synucleinopathies traditionally differentiated through clinical symptoms. Early diagnosis of MSA is problematic, and seed amplification assays (SAAs), such as real-time quaking-induced conversion (RT-QuIC), offer the potential to distinguish these diseases through their underlying α-synuclein (α-Syn) pathology and proteoforms. Currently, SAAs provide a binary result, signifying either the presence or absence of α-Syn seeds. To enhance the diagnostic potential and biological relevance of these assays, there is a pressing need to incorporate quantification and stratification of α-Syn proteoform-specific aggregation kinetics into current SAA pipelines.

Methods: Optimal RT-QuIC assay conditions for α-Syn seeds extracted from PD and MSA patient brains were determined, and assay kinetics were assessed for α-Syn seeds from different pathologically relevant brain regions (medulla, substantia nigra, hippocampus, middle temporal gyrus, and cerebellum). The conformational profiles of disease- and region-specific α-Syn proteoforms were determined by subjecting the amplified reaction products to concentration-dependent proteolytic digestion with proteinase K.

Results: Using our protocol, PD and MSA could be accurately delineated using proteoform-specific aggregation kinetics, including α-Syn aggregation rate, maximum relative fluorescence, the gradient of amplification, and core protofilament size. MSA cases yielded significantly higher values than PD cases across all four kinetic parameters in brain tissues, with the MSA-cerebellar phenotype having higher maximum relative fluorescence than the MSA-Parkinsonian phenotype. Statistical significance was maintained when the data were analysed regionally and when all regions were grouped.

Conclusions: Our RT-QuIC protocol and analysis pipeline can distinguish between PD and MSA, and between MSA phenotypes. MSA α-Syn seeds induce faster propagation and exhibit higher aggregation kinetics than PD α-Syn, mirroring the biological differences observed in brain tissue. With further validation of these quantitative parameters, we propose that SAAs could advance from a yes/no diagnostic to a theranostic biomarker that could be utilised in developing therapeutics.

改进α-突触核蛋白种子扩增试验以区分帕金森病和多系统萎缩。
背景:帕金森病(PD)和多系统萎缩(MSA)是两种不同的α-突触核蛋白病,传统上通过临床症状来区分。MSA的早期诊断是有问题的,种子扩增试验(SAAs),如实时振动诱导转化(RT-QuIC),通过其潜在的α-突触核蛋白(α-Syn)病理和蛋白质形态提供了区分这些疾病的潜力。目前,SAAs提供一个二进制结果,表示存在或不存在α-Syn种子。为了提高这些检测的诊断潜力和生物学相关性,迫切需要将α-Syn蛋白形态特异性聚集动力学的量化和分层纳入当前的SAA管道中。方法:确定PD和MSA患者大脑中α-Syn种子提取的最佳RT-QuIC检测条件,并评估不同病理相关脑区(髓质、黑质、海马、颞中回和小脑)α-Syn种子的检测动力学。通过将扩增的反应产物用蛋白酶k进行浓度依赖性蛋白水解消化,确定了疾病特异性和区域特异性α-Syn蛋白形式的构象谱。结果:使用我们的方案,可以使用蛋白形式特异性聚集动力学,包括α-Syn聚集率、最大相对荧光、扩增梯度和核心原丝大小,准确地描述PD和MSA。在脑组织的所有四个动力学参数中,MSA病例的值明显高于PD病例,MSA-小脑表型比MSA-帕金森表型具有更高的最大相对荧光。当数据进行区域分析和所有区域分组时,保持统计学显著性。结论:我们的RT-QuIC方案和分析管道可以区分PD和MSA,以及MSA的表型。与PD α-Syn相比,MSA α-Syn种子的繁殖速度更快,具有更高的聚集动力学,反映了在脑组织中观察到的生物学差异。随着这些定量参数的进一步验证,我们建议SAAs可以从是/否诊断发展为可用于开发治疗方法的治疗性生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Translational Neurodegeneration
Translational Neurodegeneration Neuroscience-Cognitive Neuroscience
CiteScore
19.50
自引率
0.80%
发文量
44
审稿时长
10 weeks
期刊介绍: Translational Neurodegeneration, an open-access, peer-reviewed journal, addresses all aspects of neurodegenerative diseases. It serves as a prominent platform for research, therapeutics, and education, fostering discussions and insights across basic, translational, and clinical research domains. Covering Parkinson's disease, Alzheimer's disease, and other neurodegenerative conditions, it welcomes contributions on epidemiology, pathogenesis, diagnosis, prevention, drug development, rehabilitation, and drug delivery. Scientists, clinicians, and physician-scientists are encouraged to share their work in this specialized journal tailored to their fields.
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