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基于微流控芯片的 CRISPR/Cas12a 系统用于呼吸道病毒合并感染的灵敏快速诊断

Sensitive and Rapid Diagnosis of Respiratory Virus Coinfection Using a Microfluidic Chip-Powered CRISPR/Cas12a System.

机构信息

State Key Laboratory of Membrane Biology, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China.

CapitalBiotech Technology, Beijing, 101111, China.

出版信息

Small. 2022 Jul;18(26):e2200854. doi: 10.1002/smll.202200854. Epub 2022 May 22.

Abstract

The ongoing pandemic caused by severe acute respiratory syndrome coronavirus 2 is profoundly influencing the global healthcare system and people's daily lives. The high resource consumption of coronavirus disease 2019 (COVID-19) is resulting in insufficient surveillance of coinfection or resurgence of other critical respiratory epidemics, which is of public concern. To facilitate evaluation of the current coinfection situation, a microfluidic system (MAPnavi) is developed for the rapid (<40 min) and sensitive diagnosis of multiple respiratory viruses from swab samples in a fully sealed and automated manner, in which a nested-recombinase polymerase amplification and the CRISPR-based amplification system is first proposed to ensure the sensitivity and specificity. This novel system has a remarkably low limit of detection (50-200 copies mL ) and is successfully applied to detect 171 clinical samples (98.5% positive predictive agreement; 100% negative predictive agreement), and the results identify 45.6% coinfection among clinical samples from patients with COVID-19. This approach has the potential to shift diagnostic and surveillance efforts from targeted testing for a high-priority virus to comprehensive testing of multiple virus sets and to greatly benefit the implementation of decentralized testing.

摘要

由严重急性呼吸综合征冠状病毒 2 引起的持续大流行正在深刻影响全球医疗保健系统和人们的日常生活。2019 年冠状病毒病(COVID-19)的高资源消耗导致对合并感染或其他关键呼吸道传染病复发的监测不足,这引起了公众关注。为了便于评估当前的合并感染情况,开发了一种微流控系统(MAPnavi),用于快速(<40 分钟)和灵敏地诊断拭子样本中的多种呼吸道病毒,该系统采用嵌套重组聚合酶扩增和基于 CRISPR 的扩增系统,以确保灵敏度和特异性。该新型系统具有极低的检测限(50-200 拷贝 mL ),并成功应用于检测 171 个临床样本(阳性预测符合率为 98.5%;阴性预测符合率为 100%),结果确定了 COVID-19 患者临床样本中的 45.6%合并感染。这种方法有可能将诊断和监测工作从针对高优先级病毒的靶向测试转变为对多种病毒组的综合测试,并极大地有利于实施分散测试。

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