核酸扩增检测在新冠肺炎疫情防控中的应用

S. Souchelnytskyi, N. Souchelnytskyi
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引用次数: 1

摘要

背景。COVID-19大流行突出了敏感和特定测试的重要性,这些测试将具有成本效益、快速和可扩展。全世界有200多种COVID-19检测方法,每个国家都在开发自己的检测方法。样品采集、测试准备、测试本身和结果解释对测试的临床价值有很大影响。测试和工作流程的多样性要求对其在诊所中的表现进行分析。方法。通过文献综述、临床报告分析、在线资源、公开和商业报告来收集有关测试的信息。对收集到的信息进行处理,提取与本综述相关的信息。结果。本文综述了基于核酸扩增的新型冠状病毒检测方法。测试采用聚合酶链反应(PCR)或环介导等温扩增(LAMP)。这些测试的临床价值取决于所使用的技术,这些技术不同于LAMP、实时和标准PCR方法。样品制备方案的多样性、测试设计的不同、使用的化学物质和方案对测试的性能有重大影响。将测试工作流裁剪为可用的基础结构,并为测试工作流中的每个步骤选择最有效的测试和协议组合,这对于成功至关重要。结论。这里回顾了不同测试和协议的优缺点,可以帮助选择测试工作流程,以实现最大的临床效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
APPLICATION OF NUCLEIC ACID AMPLIFICATION TESTS IN MANAGING COVID-19 PANDEMIC
Background. COVID-19 pandemic highlighted an importance of sensitive and specific tests that would be cost-efficient, fast and scalable. There are more than 200 COVID-19 detection tests available worldwide, with every country developing own assays. Sample collection, preparation for a test, tests itself and interpretation of results have a strong impact on the clinical value of the testing. Diversity of tests and workflows requires an analysis of their performance in clinics. Methods. Literature review, analysis of clinical reports, online resources, public and commercial reports were used to collect information about the tests. Collected information was processed for extraction of relevant to this review information. Results. Here we review COVID-19 detection tests that are based on amplification of nucleic acids. The tests employ polymerase chain reaction (PCR) or loop-mediated isothermal amplification (LAMP). Clinical value of the tests depends on used technologies that differ for LAMP, real-time and standard PCR methods. Diversity of sample preparation protocols, different designs of the tests, used chemistries and protocols have significant impact on performance of the tests. Tailoring of a testing workflow to available infrastructure and selection of the most efficient combination of tests and protocols for each step in a testing workflow is crucial for the success. Conclusion. Reviewed here strong and weak sides of different tests and protocols can be of help in selection of a testing workflow for achieving maximal clinical utility.
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