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Performance Characteristics of a High-Throughput Automated Transcription-Mediated Amplification Test for SARS-CoV-2 Detection

The COVID-19 pandemic caused by the new SARS-CoV-2 coronavirus has imposed severe challenges on laboratories in their effort to achieve sufficient diagnostic testing capability for identifying infected individuals. In this study, we report the analytical and clinical performance characteristics of a...

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Autores principales: Pham, Jimmykim, Meyer, Sarah, Nguyen, Catherine, Williams, Analee, Hunsicker, Melissa, McHardy, Ian, Gendlina, Inessa, Goldstein, D. Yitzchak, Fox, Amy S., Hudson, Angela, Darby, Paul, Hovey, Paul, Morales, Jose, Mitchell, James, Harrington, Karen, Majlessi, Mehrdad, Moberly, Joshua, Shah, Ankur, Worlock, Andrew, Walcher, Marion, Eaton, Barbara, Getman, Damon, Clark, Craig
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512162/
https://www.ncbi.nlm.nih.gov/pubmed/32727828
http://dx.doi.org/10.1128/JCM.01669-20
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author Pham, Jimmykim
Meyer, Sarah
Nguyen, Catherine
Williams, Analee
Hunsicker, Melissa
McHardy, Ian
Gendlina, Inessa
Goldstein, D. Yitzchak
Fox, Amy S.
Hudson, Angela
Darby, Paul
Hovey, Paul
Morales, Jose
Mitchell, James
Harrington, Karen
Majlessi, Mehrdad
Moberly, Joshua
Shah, Ankur
Worlock, Andrew
Walcher, Marion
Eaton, Barbara
Getman, Damon
Clark, Craig
author_facet Pham, Jimmykim
Meyer, Sarah
Nguyen, Catherine
Williams, Analee
Hunsicker, Melissa
McHardy, Ian
Gendlina, Inessa
Goldstein, D. Yitzchak
Fox, Amy S.
Hudson, Angela
Darby, Paul
Hovey, Paul
Morales, Jose
Mitchell, James
Harrington, Karen
Majlessi, Mehrdad
Moberly, Joshua
Shah, Ankur
Worlock, Andrew
Walcher, Marion
Eaton, Barbara
Getman, Damon
Clark, Craig
author_sort Pham, Jimmykim
collection PubMed
description The COVID-19 pandemic caused by the new SARS-CoV-2 coronavirus has imposed severe challenges on laboratories in their effort to achieve sufficient diagnostic testing capability for identifying infected individuals. In this study, we report the analytical and clinical performance characteristics of a new, high-throughput, fully automated nucleic acid amplification test system for the detection of SARS-CoV-2. The assay utilizes target capture, transcription-mediated amplification, and acridinium ester-labeled probe chemistry on the automated Panther system to directly amplify and detect two separate target sequences in the open reading frame 1ab (ORF1ab) region of the SARS-CoV-2 RNA genome. The probit 95% limit of detection of the assay was determined to be 0.004 50% tissue culture infective dose (TCID(50))/ml using inactivated virus and 25 copies/ml (c/ml) using synthetic in vitro transcript RNA targets. Analytical sensitivity (100% detection) was confirmed to be 83 to 194 c/ml using three commercially available SARS-CoV-2 nucleic acid controls. No cross-reactivity or interference was observed with testing of six related human coronaviruses, as well as 24 other viral, fungal, and bacterial pathogens, at high titers. Clinical nasopharyngeal swab specimen testing (n = 140) showed 100%, 98.7%, and 99.3% positive, negative, and overall agreement, respectively, with a validated reverse transcription-PCR nucleic acid amplification test (NAAT) for SARS-CoV-2 RNA. These results provide validation evidence for a sensitive and specific method for pandemic-scale automated molecular diagnostic testing for SARS-CoV-2.
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spelling pubmed-75121622020-10-02 Performance Characteristics of a High-Throughput Automated Transcription-Mediated Amplification Test for SARS-CoV-2 Detection Pham, Jimmykim Meyer, Sarah Nguyen, Catherine Williams, Analee Hunsicker, Melissa McHardy, Ian Gendlina, Inessa Goldstein, D. Yitzchak Fox, Amy S. Hudson, Angela Darby, Paul Hovey, Paul Morales, Jose Mitchell, James Harrington, Karen Majlessi, Mehrdad Moberly, Joshua Shah, Ankur Worlock, Andrew Walcher, Marion Eaton, Barbara Getman, Damon Clark, Craig J Clin Microbiol Virology The COVID-19 pandemic caused by the new SARS-CoV-2 coronavirus has imposed severe challenges on laboratories in their effort to achieve sufficient diagnostic testing capability for identifying infected individuals. In this study, we report the analytical and clinical performance characteristics of a new, high-throughput, fully automated nucleic acid amplification test system for the detection of SARS-CoV-2. The assay utilizes target capture, transcription-mediated amplification, and acridinium ester-labeled probe chemistry on the automated Panther system to directly amplify and detect two separate target sequences in the open reading frame 1ab (ORF1ab) region of the SARS-CoV-2 RNA genome. The probit 95% limit of detection of the assay was determined to be 0.004 50% tissue culture infective dose (TCID(50))/ml using inactivated virus and 25 copies/ml (c/ml) using synthetic in vitro transcript RNA targets. Analytical sensitivity (100% detection) was confirmed to be 83 to 194 c/ml using three commercially available SARS-CoV-2 nucleic acid controls. No cross-reactivity or interference was observed with testing of six related human coronaviruses, as well as 24 other viral, fungal, and bacterial pathogens, at high titers. Clinical nasopharyngeal swab specimen testing (n = 140) showed 100%, 98.7%, and 99.3% positive, negative, and overall agreement, respectively, with a validated reverse transcription-PCR nucleic acid amplification test (NAAT) for SARS-CoV-2 RNA. These results provide validation evidence for a sensitive and specific method for pandemic-scale automated molecular diagnostic testing for SARS-CoV-2. American Society for Microbiology 2020-09-22 /pmc/articles/PMC7512162/ /pubmed/32727828 http://dx.doi.org/10.1128/JCM.01669-20 Text en Copyright © 2020 Pham et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Virology
Pham, Jimmykim
Meyer, Sarah
Nguyen, Catherine
Williams, Analee
Hunsicker, Melissa
McHardy, Ian
Gendlina, Inessa
Goldstein, D. Yitzchak
Fox, Amy S.
Hudson, Angela
Darby, Paul
Hovey, Paul
Morales, Jose
Mitchell, James
Harrington, Karen
Majlessi, Mehrdad
Moberly, Joshua
Shah, Ankur
Worlock, Andrew
Walcher, Marion
Eaton, Barbara
Getman, Damon
Clark, Craig
Performance Characteristics of a High-Throughput Automated Transcription-Mediated Amplification Test for SARS-CoV-2 Detection
title Performance Characteristics of a High-Throughput Automated Transcription-Mediated Amplification Test for SARS-CoV-2 Detection
title_full Performance Characteristics of a High-Throughput Automated Transcription-Mediated Amplification Test for SARS-CoV-2 Detection
title_fullStr Performance Characteristics of a High-Throughput Automated Transcription-Mediated Amplification Test for SARS-CoV-2 Detection
title_full_unstemmed Performance Characteristics of a High-Throughput Automated Transcription-Mediated Amplification Test for SARS-CoV-2 Detection
title_short Performance Characteristics of a High-Throughput Automated Transcription-Mediated Amplification Test for SARS-CoV-2 Detection
title_sort performance characteristics of a high-throughput automated transcription-mediated amplification test for sars-cov-2 detection
topic Virology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512162/
https://www.ncbi.nlm.nih.gov/pubmed/32727828
http://dx.doi.org/10.1128/JCM.01669-20
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