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Detection and Automatic Privacy-Protected Contact Tracing System Designed for COVID-19

专为 COVID-19 设计的检测和自动隐私保护接触者追踪系统

基本信息

批准号：
10756670
负责人：
Lu Peng
金额：
$ 48.75万
依托单位：
UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-12-21 至 2024-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10756670
关键词：
2019-nCoV Aerosols Affect Affinity Agar Gel Electrophoresis Antigens Authorization documentation Avidity Base Sequence Binding Biological Assay Biosensor Businesses COVID-19 COVID-19 assay COVID-19 detection COVID-19 diagnostic COVID-19 pandemic COVID-19 patient Cellular Phone Cessation of life Clinical Communicable Diseases Communication Complex Contact Tracing Containment Country Cytolysis DNA Data Data Security Dengue Virus Detection Devices Diagnosis Diagnostic tests Economics Ensure Environment Epidemiology Epitopes Event Failure Fluorescence Genes Genetic Materials Glycoproteins Goals Health Health Benefit Health system Healthcare Systems Immobilization Incidence Individual Industrialization Infection Laboratories Life Maps Measurement Measures Membrane Modeling Monitor Nanostructures Nucleic Acids Pathogen detection Patients Pattern Preparation Privacy Process Protocols documentation Public Health Reading Recovery Reporter Risk Risk Assessment SARS-CoV-2 exposure SARS-CoV-2 infection Sampling Schools Sensitivity and Specificity Shapes Signal Transduction Specificity Specimen Surface Surface Plasmon Resonance Symptoms System Telephone Temperature Testing Time Transmission Electron Microscopy United States Viral Viral Antigens Virion Virus accurate diagnosis amplification detection aptamer authority blockchain computerized data processing cost cost effective data exchange design detection assay encryption flexibility fluorophore laboratory experience microscopic imaging novel pandemic disease particle point of care portability pressure privacy protection respiratory sensor smartphone based device stem transmission process viral detection virus genetics

项目摘要

Project Summary/Abstract The COVID-19 pandemic has rapidly spread across the world, bringing death, illness, disruption to daily life, and economic crisis to businesses and individuals. The situation has been exacerbated after the schools and companies reopened due to economic pressure. One of the key failures in COVID-19 containment is underlined by the inability of our healthcare system in real-time detection in point-of-care (POC) and end-user settings and precise tracing with privacy protection of active infections. The fundamental limitations of current gene-based assays stem from their reliance upon amplification and detection of the viral genetic materials even if there were no intact/infectious viruses. These tests require labor-intensive, laboratory-based sample preparation protocols for virus lysis, extraction of genetic materials, purification of the isolated materials, thermal cycling for enzymatic amplification of viral nucleic acid sequences, and interpretation of complex results by professionals. To accurately determine the infectivity of the infected individuals, contaminated objects and environments, and provide guidance for patients, public and authorities to better manage treatment and containment, we seek a new paradigm for rapid and direct pathogen detection and identification in which the intact virions are directly recognized through their distinct surface epitope features, and the resultant fluorescent signal is immediately captured by an end-user smartphone, followed by automatic data transition and event tracing in a blockchain-encrypted manner. To achieve specific recognition of SARS-CoV-2 virions, we customized a designer DNA nanostructure (DDN)-based capture probe that harbors a macromolecular “net” whose vertices precisely match the intra- and inter-spatial pattern of SARS-CoV-2 trimeric spike glycoprotein clusters, and integrates a net-shaped array of SARS-CoV-2 spike specific-targeting aptamers. This aptamer-DDN is designed for maximum affinity and specificity binding with spikes on intact virions in a polyvalent and pattern-matching fashion. Once bound to intact virions, the DNA “nets” trigger the release of fluorescence. This fluorescent signal can be readily and automatically detected by a membrane-shaped and smartphone-based fluorimeter attached to the end-users' phone cameras. The acquired results will be associated with user device IDs that are cyber-protected before tracing. We propose to combine DDN capture probes and a smartphone device to develop and demonstrate a rapid, room temperature, single-step, virus- specific, and ultrasensitive detection of SARS-CoV-2 virus, in which the detection results can be acquired within 5 minutes upon exposure, at the user end, allowing tracing the presence of viruses without affecting user privacy. The signal to result transition, result to ID association, individual track and interacting network tracing will be blockchain-encrypted to ensure information security for individual privacy, while tracing information would be available to health authority for public health benefits.

项目概要/摘要 COVID-19 大流行已在世界范围内迅速蔓延，给日常生活带来死亡、疾病和干扰经济危机对企业和个人的影响。学校开学后情况更加恶化以及企业迫于经济压力重新开业。 COVID-19 遏制的主要失败之一是我们的医疗保健系统无法对护理点 (POC) 和最终用户进行实时检测，这凸显了这一点设置和精确追踪以及主动感染的隐私保护。当前的基本局限性基于基因的检测源于其对病毒遗传物质的扩增和检测的依赖即使没有完整/传染性病毒。这些测试需要劳动密集型、基于实验室的样本病毒裂解、遗传物质提取、分离材料纯化的制备方案，用于病毒核酸序列酶促扩增的热循环以及复杂的解释专业人士的结果。准确判断感染者的传染性、污染程度物体和环境，并为患者、公众和当局提供指导，以更好地管理治疗和遏制，我们寻求一种快速、直接的病原体检测和识别的新范例，其中完整的病毒粒子通过其独特的表面表位特征直接识别，并且所得的最终用户智能手机立即捕获荧光信号，然后自动进行数据转换以及以区块链加密方式进行事件追踪。为了实现对 SARS-CoV-2 病毒体的特异性识别，我们定制了一款基于 DNA 纳米结构 (DDN) 的设计捕获探针，其中包含大分子 “网”，其顶点与 SARS-CoV-2 三聚体刺突的空间内和空间模式精确匹配糖蛋白簇，并整合了 SARS-CoV-2 刺突特异性靶向适体的网状阵列。该适体-DDN 设计用于与完整病毒体上的刺突具有最大亲和力和特异性结合多价和图案匹配的时尚。一旦与完整的病毒粒子结合，DNA“网”就会触发释放荧光。这种荧光信号可以通过膜状和连接到最终用户手机摄像头的基于智能手机的荧光计。获得的结果将是与在追踪之前受到网络保护的用户设备 ID 相关联。我们建议结合DDN捕获探针和智能手机设备，用于开发和演示快速、室温、单步、病毒- 对SARS-CoV-2病毒进行特异、超灵敏检测，即可获得检测结果暴露后 5 分钟内，在用户端，允许在不影响用户的情况下追踪病毒的存在隐私。信号到结果转换、结果到 ID 关联、个体跟踪和交互网络跟踪将进行区块链加密，确保个人隐私的信息安全，同时追踪信息将向卫生当局提供公共卫生福利。