4.4 Article

Accuracy of a RT-qPCR SARS-CoV-2 detection assay without prior RNA extraction

期刊

JOURNAL OF VIROLOGICAL METHODS
卷 287, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.jviromet.2020.113969

关键词

SARS-CoV-2; 2019-nCoV; COVID-19; RNA extraction; RT-PCR

资金

  1. ANID Chile through Fondo Nacional de desarrollo cientifico y tecnologia (FONDECYT) [11200228, 1181656, 1190156, 1180798]
  2. Instituto Antartico Chileno (INACH) [RT_35-19]
  3. Internacionalizacion Universidad de Chile-1566 from Mexico city [SECTEI/138/2019]

向作者/读者索取更多资源

This study evaluated the sensitivity and performance of different RT-qPCR kits for detecting SARS-CoV-2, explored the feasibility of directly detecting viral RNA in NSS, and proposed a detection protocol that omits the RNA extraction step for faster and more efficient COVID-19 diagnosis.
The current COVID-19 pandemic constitutes a threat to the population worldwide with over 21 million infected people. There is an urgent need for the development of rapid and massive detection tools as well as the identification and isolation of infected individuals. we sought to evaluate different RT-qPCR kits and protocols to evaluate the best approach to be used omitting an RNA extraction step. We have investigated the sensitivity and performance of different commercially available RT-qPCR kits in detecting SARS-CoV-2 using 80 extracted RNA and NSS from COVID-19 diagnosed patients. We evaluated the ability of each kit to detect viral RNA from both kit-extracted or directly from a pre-boiled NSS observing that direct RNA detection is possible when Ct values are lower than 30 with the three kits tested. Since SARS-CoV-2 testing in most locations occurs once COVID-19 symptoms are evident and, therefore, viral loads are expected to be high, our protocol will be useful in supporting SARS-CoV-2 diagnosis, especially in America where COVID-19 cases have exploded in the recent weeks as well as in low- and middle-income countries, which would not have massive access to kit-based diagnosis. The information provided in this work paves the way for the development of more efficient SARS-CoV-2 detection approaches avoiding an RNA extraction step.

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