Visual detection of misfolded alpha-synuclein and prions via capillary-based quaking-induced conversion assay (Cap-QuIC)

Peter R. Christenson, Hyeonjeong Jeong, Hyerim Ahn, Manci Li, Gage Rowden, Rachel L. Shoemaker, Peter A. Larsen, Hye Yoon Park, Sang-Hyun Oh
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Abstract

Neurodegenerative protein misfolding diseases impact tens of millions of people worldwide, contributing to millions of deaths and economic hardships across multiple scales. The prevalence of neurodegenerative disease is predicted to greatly increase over the coming decades, yet effective diagnostics for such diseases are limited. Most diagnoses come from the observation of external symptoms in clinical settings, which typically manifest during relatively advanced stages of disease, thus limiting potential therapeutic applications. While progress is being made on biomarker testing, the underlying methods largely rely on fragile and expensive equipment that limits their point-of-care potential, especially in developing countries. Here we present Capillary-based Quaking Induced Conversion (Cap-QuIC) as a visual diagnostic assay based on simple capillary action for the detection of neurodegenerative disease without necessitating expensive and complex capital equipment. We demonstrate that Cap-QuIC has the potential to be a detection tool for a broad range of misfolded proteins by successfully distinguishing misfolded versus healthy proteins associated with Parkinson’s disease (α-synuclein) and Chronic Wasting Disease (prions). Additionally, we show that Cap-QuIC can accurately classify biological tissue samples from wild white-tailed deer infected with Chronic Wasting Disease. Our findings elucidate the underlying mechanism that enables the Cap-QuIC assay to distinguish misfolded protein, highlighting its potential as a diagnostic technology for neurodegenerative diseases.

Abstract Image

通过毛细管震荡诱导转换测定法(Cap-QuIC)目视检测折叠错误的α-突触核蛋白和朊病毒
神经退行性蛋白质错误折叠疾病影响着全球数千万人,导致数百万人死亡,并造成多方面的经济困难。据预测,神经退行性疾病的发病率将在未来几十年内大幅上升,但此类疾病的有效诊断方法却十分有限。大多数诊断都是在临床环境中通过观察外部症状得出的,而这些症状通常表现在疾病的相对晚期阶段,因此限制了潜在的治疗应用。虽然生物标志物检测正在取得进展,但其基本方法主要依赖于脆弱而昂贵的设备,这限制了其在医疗点的应用潜力,尤其是在发展中国家。在此,我们介绍基于毛细管的震荡诱导转化(Cap-QuIC),这是一种基于简单毛细管作用的可视化诊断测定,用于检测神经退行性疾病,无需昂贵而复杂的资本设备。通过成功区分与帕金森病(α-突触核蛋白)和慢性消耗性疾病(朊病毒)相关的错误折叠蛋白和健康蛋白,我们证明 Cap-QuIC 有潜力成为检测各种错误折叠蛋白的工具。此外,我们还发现 Cap-QuIC 能够对感染慢性消耗性疾病的野生白尾鹿生物组织样本进行准确分类。我们的研究结果阐明了Cap-QuIC检测法区分错误折叠蛋白的内在机制,凸显了它作为神经退行性疾病诊断技术的潜力。
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