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Rapid on-site amplification and visual detection of misfolded proteins via microfluidic quaking-induced conversion (Micro-QuIC) 通过微流控震荡诱导转换(Micro-QuIC)对折叠错误的蛋白质进行现场快速扩增和可视检测
Pub Date : 2024-07-24 DOI: 10.1038/s44328-024-00006-x
Dong Jun Lee, Peter R. Christenson, Gage Rowden, Nathan C. Lindquist, Peter A. Larsen, Sang-Hyun Oh
Protein misfolding diseases, such as prion diseases, Alzheimer’s, and Parkinson’s, share a common molecular mechanism involving the misfolding and aggregation of specific proteins. There is an urgent need for point-of-care (POC) diagnostic technologies that can accurately detect these misfolded proteins, facilitating early diagnosis and intervention. Here, we introduce the microfluidic quaking-induced conversion (Micro-QuIC), a novel acoustofluidic platform for the rapid and sensitive detection of protein misfolding diseases. We demonstrate the utility of our technology using chronic wasting disease (CWD) as a model system, since samples from wild white-tailed deer are readily accessible, and CWD shares similarities with human protein misfolding diseases. Acoustofluidic mixing enables homogeneous mixing of reagents in a high-Reynolds-number regime, significantly accelerating the turnaround time for CWD diagnosis. Our Micro-QuIC assay amplifies prions significantly faster than the current gold standard, real-time quaking-induced conversion (RT-QuIC). Furthermore, we integrated Micro-QuIC with a gold nanoparticle-based, naked-eye detection method, which enables visual discrimination between CWD-positive and CWD-negative samples without the need for a bulky fluorescence detection module. This integration creates a rapid, POC testing platform capable of detecting misfolded proteins associated with a variety of protein misfolding diseases.
蛋白质错误折叠疾病,如朊病毒病、阿尔茨海默氏症和帕金森氏症,都有一个共同的分子机制,涉及特定蛋白质的错误折叠和聚集。目前迫切需要能准确检测这些错误折叠蛋白质的床旁诊断(POC)技术,以促进早期诊断和干预。在这里,我们介绍了微流体震荡诱导转换(Micro-QuIC),这是一种新型声学流体平台,可用于快速、灵敏地检测蛋白质错误折叠疾病。我们以慢性消耗性疾病(CWD)为模型系统展示了我们技术的实用性,因为野生白尾鹿的样本很容易获得,而且慢性消耗性疾病与人类蛋白质错误折叠疾病有相似之处。声流体混合技术能使试剂在高雷诺数条件下均匀混合,从而大大加快了 CWD 诊断的周转时间。我们的 Micro-QuIC 分析法扩增朊病毒的速度明显快于目前的黄金标准--实时震荡诱导转换(RT-QuIC)。此外,我们还将 Micro-QuIC 与基于金纳米粒子的裸眼检测方法整合在一起,这样就可以目测区分 CWD 阳性样本和 CWD 阴性样本,而无需使用笨重的荧光检测模块。这种集成创建了一个快速的 POC 检测平台,能够检测与各种蛋白质折叠错误疾病相关的折叠错误蛋白质。
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引用次数: 0
Author Correction: Optimal signal quality index for remote photoplethysmogram sensing 作者更正:遥感照相血压计的最佳信号质量指标
Pub Date : 2024-07-17 DOI: 10.1038/s44328-024-00010-1
Mohamed Elgendi, Igor Martinelli, Carlo Menon
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引用次数: 0
Editorial journal inauguration—npj Biosensing 编辑期刊创刊仪式-Npj 生物传感
Pub Date : 2024-06-26 DOI: 10.1038/s44328-024-00005-y
Laura Fabris, Nam-Joon Cho, Hirotsugu Ogi, Cullen Buie, Peter Zijlstra, Sang-Hyun Oh
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引用次数: 0
Advancing cancer detection with portable salivary sialic acid testing 利用便携式唾液唾液酸检测推进癌症检测工作
Pub Date : 2024-06-26 DOI: 10.1038/s44328-024-00001-2
Mohamed Elgendi, Lynnette Lyzwinski, Eric Kübler, Alexander V. Shokurov, Newton Howard, Carlo Menon
This perspective emphasizes the robust evidence supporting salivary sialic acid (SA) as a valuable tool for cancer prescreening, particularly for oral and breast cancers. The potential benefits of salivary SA testing include early cancer detection and treatment response monitoring. The challenges and opportunities of developing a portable cancer detection device are discussed. Enabling accessible and timely prescreening through salivary SA testing has the potential to save lives and offer an alternative to mammograms for low-risk groups. Portable Raman spectrometers show promise for SA analysis, but cost and sensitivity challenges need attention. The potential for personalized medicine, multiplexing capabilities, and remote collaboration further enhances the value of portable Raman-based cancer detection devices. Implementing these recommendations may lead to the future use of portable devices in cancer detection through salivary SA analysis. Salivary SA’s promising potential as a prescreening or adjunct biomarker extends beyond the clinical setting, and its integration into routine practice could empower individuals for home-based cancer detection, enabling more convenient and effective health monitoring.
这一观点强调了唾液唾液酸(SA)作为癌症预检,尤其是口腔癌和乳腺癌预检的重要工具的有力证据。唾液唾液酸检测的潜在益处包括早期癌症检测和治疗反应监测。本文讨论了开发便携式癌症检测设备所面临的挑战和机遇。通过唾液SA检测实现方便、及时的预检有可能挽救生命,并为低风险人群提供乳房X光检查的替代方法。便携式拉曼光谱仪在唾液酸分析方面大有可为,但需要注意成本和灵敏度方面的挑战。个性化医疗、多路复用能力和远程协作的潜力进一步提升了便携式拉曼癌症检测设备的价值。落实这些建议可使便携式设备在未来通过唾液 SA 分析进行癌症检测。唾液SA作为预筛或辅助生物标志物的潜力远不止于临床环境,将其整合到日常实践中可增强个人在家中进行癌症检测的能力,从而实现更方便、更有效的健康监测。
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引用次数: 0
Visual detection of misfolded alpha-synuclein and prions via capillary-based quaking-induced conversion assay (Cap-QuIC) 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
Pub Date : 2024-06-26 DOI: 10.1038/s44328-024-00003-0
Peter R. Christenson, Hyeonjeong Jeong, Hyerim Ahn, Manci Li, Gage Rowden, Rachel L. Shoemaker, Peter A. Larsen, Hye Yoon Park, Sang-Hyun Oh
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.
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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引用次数: 0
High-throughput light-induced immunoassay with milliwatt-level laser under one-minute optical antibody-coating on nanoparticle-imprinted substrate 用毫瓦级激光在纳米粒子印迹基底上进行一分钟光学抗体包被,实现高通量光诱导免疫测定
Pub Date : 2024-06-26 DOI: 10.1038/s44328-024-00004-z
Masatoshi Kanoda, Kota Hayashi, Yumiko Takagi, Mamoru Tamura, Shiho Tokonami, Takuya Iida
The efficient detection of protein biomarkers is critical for public health. However, the sensitivity of conventional antigen test kits is relatively low for early diagnosis, and laboratory immunoassays require complex pretreatment processes overnight. If target nanomaterials could be remotely guided to the detection site, simpler and faster methods would be developed. Here, we reveal the mechanism of light-induced immunoassay that anti-spike-protein antibodies for SARS-CoV-2 were coated on our developed nanoparticle-imprinted plasmonic substrate (NPI-PS) over the submillimeter area within one minute and nanoparticles modified with spike proteins can be selectively detected within a few minutes at one or two orders of higher sensitivity via a two-step optical condensation using NPI-PS. NPI-PS exhibits high-performance optical condensation with high photothermal properties even under milliwatt-class nonresonant laser irradiation, enabling a wide range of quantitative measurements. These findings support an innovative strategy to mitigate pandemic threats and various diseases through the high-throughput detection of protein biomarkers.
有效检测蛋白质生物标志物对公共卫生至关重要。然而,传统抗原检测试剂盒的灵敏度相对较低,无法进行早期诊断,实验室免疫测定也需要复杂的预处理过程。如果能将目标纳米材料远程引导到检测部位,就能开发出更简单、更快速的方法。在这里,我们揭示了光诱导免疫测定的机理,即在一分钟内将抗SARS-CoV-2尖峰蛋白抗体涂布在我们开发的纳米粒子印迹质子基底(NPI-PS)亚毫米区域上,并通过使用NPI-PS的两步光学凝结,在几分钟内选择性地检测修饰有尖峰蛋白的纳米粒子,灵敏度可提高一到两个数量级。即使在毫瓦级非共振激光照射下,NPI-PS 也能表现出高性能的光学凝结和高光热特性,从而实现广泛的定量测量。这些发现支持通过高通量检测蛋白质生物标记物来减轻流行病威胁和各种疾病的创新战略。
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引用次数: 0
Optimal signal quality index for remote photoplethysmogram sensing 遥感光敏血压计的最佳信号质量指标
Pub Date : 2024-06-26 DOI: 10.1038/s44328-024-00002-1
Mohamed Elgendi, Igor Martinelli, Carlo Menon
Remote photoplethysmography (rPPG) enables non-invasive monitoring of circulatory signals using mobile devices, a crucial advancement in biosensing. Despite its potential, ensuring signal quality amidst noise and artifacts remains a significant challenge, particularly in healthcare applications. Addressing this, our study focuses on a singular signal quality index (SQI) for rPPG, aimed at simplifying high-quality video capture for heart rate detection and cardiac assessment. We introduce a practical threshold for this SQI, specifically the signal-to-noise ratio index (NSQI), optimized for straightforward implementation on portable devices for real-time video analysis. Employing (NSQI < 0.293) as our threshold, our methodology successfully identifies high-quality cardiac information in video frames, effectively mitigating the influence of noise and artifacts. Validated on publicly available datasets with advanced machine learning algorithms and leave-one-out cross-validation, our approach significantly reduces computational complexity. This innovation not only enhances efficiency in health monitoring applications but also offers a pragmatic solution for remote biosensing. Our findings constitute a notable advancement in rPPG signal quality assessment, marking a critical step forward in the development of remote cardiac monitoring technologies with extensive healthcare implications.
远程血压计(rPPG)可利用移动设备对循环信号进行无创监测,是生物传感领域的一项重要进步。尽管具有潜力,但在噪声和伪影中确保信号质量仍是一项重大挑战,尤其是在医疗保健应用中。为了解决这个问题,我们的研究侧重于 rPPG 的单一信号质量指数 (SQI),旨在简化用于心率检测和心脏评估的高质量视频捕获。我们为该 SQI 引入了一个实用的阈值,特别是信噪比指数(NSQI),该指数经过优化,可在便携式设备上直接实施,用于实时视频分析。采用(NSQI <0.293)作为阈值,我们的方法成功地识别了视频帧中的高质量心脏信息,有效地减轻了噪声和伪影的影响。我们的方法通过先进的机器学习算法和留空交叉验证在公开数据集上进行了验证,大大降低了计算复杂度。这一创新不仅提高了健康监测应用的效率,还为远程生物传感提供了实用的解决方案。我们的研究成果是 rPPG 信号质量评估领域的一个显著进步,标志着具有广泛医疗意义的远程心脏监测技术的发展向前迈出了关键一步。
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npj Biosensing
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