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

Author:

Pham Jimmykim1,Meyer Sarah1,Nguyen Catherine1,Williams Analee1,Hunsicker Melissa1,McHardy Ian2,Gendlina Inessa3,Goldstein D. Yitzchak3,Fox Amy S.3,Hudson Angela1,Darby Paul1,Hovey Paul1,Morales Jose1,Mitchell James1,Harrington Karen1,Majlessi Mehrdad1,Moberly Joshua1,Shah Ankur1,Worlock Andrew1,Walcher Marion1,Eaton Barbara1,Getman Damon1ORCID,Clark Craig1

Affiliation:

1. Hologic, Inc., San Diego California, USA

2. Scripps Health, Microbiology Laboratory, San Diego California, USA

3. Montefiore Medical Center, Department of Pathology, Bronx, New York, USA

Abstract

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.

Funder

Hologic

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

Reference18 articles.

1. WHO. 2020. Q&A on coronaviruses (COVID-19). https://www.who.int/news-room/q-a-detail/q-a-coronaviruses. Accessed 20 May 2020.

2. CDC. Coronavirus disease 2019 (COVID-19): symptoms of coronavirus. 2020. https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html. Accessed 17 May 2020.

3. Estimation of the asymptomatic ratio of novel coronavirus infections (COVID-19)

4. WHO. 2020. Coronavirus disease (COVID-19) dashboard. https://covid19.who.int/. Accessed 13 June 2020.

5. Johns Hopkins University Center for Systems Science and Engineering. 2020. Daily state-by-state testing trends. https://coronavirus.jhu.edu/testing/individual-states. Accessed 13 June 2020.

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