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COVID-19 生物分析测试路线图:从样本采集到疾病监测。

Roadmap to the Bioanalytical Testing of COVID-19: From Sample Collection to Disease Surveillance.

机构信息

School of Biomedical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada.

Department of Engineering Physics, McMaster University, Hamilton, ON L8S 4L8, Canada.

出版信息

ACS Sens. 2020 Nov 25;5(11):3328-3345. doi: 10.1021/acssensors.0c01377. Epub 2020 Oct 30.

Abstract

The disease caused by SARS-CoV-2, coronavirus disease 2019 (COVID-19), has led to a global pandemic with tremendous mortality, morbidity, and economic loss. The current lack of effective vaccines and treatments places tremendous value on widespread screening, early detection, and contact tracing of COVID-19 for controlling its spread and minimizing the resultant health and societal impact. Bioanalytical diagnostic technologies have played a critical role in the mitigation of the COVID-19 pandemic and will continue to be foundational in the prevention of the subsequent waves of this pandemic along with future infectious disease outbreaks. In this Review, we aim at presenting a roadmap to the bioanalytical testing of COVID-19, with a focus on the performance metrics as well as the limitations of various techniques. The state-of-the-art technologies, mostly limited to centralized laboratories, set the clinical metrics against which the emerging technologies are measured. Technologies for point-of-care and do-it-yourself testing are rapidly emerging, which open the route for testing in the community, at home, and at points-of-entry to widely screen and monitor individuals for enabling normal life despite of an infectious disease pandemic. The combination of different classes of diagnostic technologies (centralized and point-of-care and relying on multiple biomarkers) are needed for effective diagnosis, treatment selection, prognosis, patient monitoring, and epidemiological surveillance in the event of major pandemics such as COVID-19.

摘要

由严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)引起的疾病,即 2019 年冠状病毒病(COVID-19),已导致一种具有巨大死亡率、发病率和经济损失的全球大流行。目前缺乏有效的疫苗和治疗方法,因此广泛筛查、早期发现和接触者追踪 COVID-19 对于控制其传播和最大限度减少由此产生的健康和社会影响具有巨大的价值。生物分析诊断技术在减轻 COVID-19 大流行方面发挥了关键作用,并且将继续成为预防该大流行后续浪潮以及未来传染病爆发的基础。在这篇综述中,我们旨在为 COVID-19 的生物分析检测制定路线图,重点介绍各种技术的性能指标和局限性。最先进的技术,主要限于集中式实验室,将临床指标与新兴技术进行对比。用于即时检测和自我检测的技术正在迅速出现,这为在社区、家庭和入境点进行检测开辟了道路,以便在传染病大流行期间广泛筛查和监测个人,使他们能够正常生活。在 COVID-19 等重大大流行期间,需要将不同类别的诊断技术(集中式和即时检测,以及依赖多种生物标志物)相结合,以进行有效诊断、治疗选择、预后、患者监测和流行病学监测。

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