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Research Article | Open Access

A Rapid and High-Sensitive Real-Time Reverse Transcription-Polymerase Chain Reaction Assay Used for the Detection of Severe Acute Respiratory Syndrome Coronavirus 2

Xiaomin Chen1,2Yan Xu1Jing Tian1Xueling Li1Hui Liang1Ang Gao1,2Zexi Liu1Dicheng Yang2Qi Shen1Daxiang Cui1,2( )
National Engineering Research Center for Nanotechnology, Shanghai, China
Institute of Nano Biomedicine and Engineering, Shanghai Engineering Research Centre for Intelligent Diagnosis and Treatment Instrument, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
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Abstract

The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a public health emergency of international concern. Real-time reverse transcription-polymerase chain reaction (RT-PCR) is widely used as the gold standard method for the diagnosis of SARS-CoV-2 infection. However, the reliability of current real-time RT-PCR assays is questioned due to some false-negative reports. In this study, we improved the real-time RT-PCR method based on three target regions (ORF1ab, E, and N) of SARS-CoV-2. Results showed that real-time RT-PCR assays herein could complete detection within one hour after viral RNA preparation and had high sensitivity down to 5 copies of viral RNA. In addition, six clinical specimens were detected to evaluate the availability of this method. Among them, four samples were 3-plex SARS-CoV-2 positive and two were negative by real-time RT-PCR. The sensitivity was 100% (4/4), and specificity was 100% (2/2). These results demonstrate that we develop a rapid and high-sensitive real-time RT-PCR method for SARS-CoV-2 detection, which will be a powerful tool for COVID-19 identification and for monitoring suspected patients.

References

[1]

R. Lu, X. Zhao, J. Li, et al., Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. The Lancet, 2020, 395(10224): 565-574.

[2]

L. Chen, W. Liu, Q. Zhang, et al., RNA based mNGS approach identifies a novel human coronavirus from two individual pneumonia cases in 2019 Wuhan outbreak. Emerg Microbes Infect, 2020, 9(1): 313-319.

[3]
World Health Organization, WHO Coronavirus Disease (COVID-19) Dashbroad. 2020, https://www.covid19.who.int/.
[4]
World Health Organization, Molecular assays to diagnose COVID-19: Summary table of available protocols. COVID-19: Laboratory and diagnosis. bioRxiv, 2020, https://www.who.int/.
[5]

R. Liu, H. Han, F. Liu, et al., Positive rate of RT-PCR detection of SARS-CoV-2 infection in 4880 cases from one hospital in Wuhan, China, from Jan to Feb 2020. Clin Chim Acta, 2020, 505: 172-175.

[6]

F. Yu, L. Yan, N. Wang, et al., Quantitative detection and viral load analysis of SARS-CoV-2 in infected patients. Clin Infect Dis, 2020, 71(15): 793-798.

[7]

N. Zhu, D. Zhang, W. Wang, et al., A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med, 2020, 382(8): 727-733.

[8]

V.M. Corman, O. Landt, M. Kaiser, et al., Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Euro Surveill, 2020, 25(3): 2000045.

[9]

B. Udugama, P. Kadhiresan, H.N. Kozlowski, et al., Diagnosing COVID-19: The Disease and Tools for Detection. ACS Nano, 2020, 14(4): 3822-3835.

[10]

U. Pandey, A.L. Greninger, G.R. Levin, et al., Improved molecular diagnosis of COVID-19 by the novel, hi 1 ghly sensitive and specific 2 COVID-19-RdRp/Hel real-time reverse transcription-polymerase chain reaction assay validated 3 in vitro and with clinical specimens. J Clin Microbiol, 2020, 58(5): e00310-e00320.

[11]

C. Xie, L. Jiang, G. Huang, et al., Comparison of different samples for 2019 novel coronavirus detection by nucleic acid amplification tests. Int J Infect Dis, 2020, 93: 264-267.

[12]

T. Suo, X. Liu, J. Feng, et al., ddPCR: a more accurate tool for SARS-CoV-2 detection in low viral load specimens. Emerg Microbes Infect, 2020, 9(1): 1259-1268.

[13]

T. Ai, Z. Yang, H. Hou, et al., Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases. Radiology, 2020, 296(2): E32-E40.

[14]

P. Huang, T. Liu, L. Huang, et al., Use of Chest CT in combination with negative RT-PCR Assay for the 2019 novel coronavirus but high clinical suspicion. Radiology, 2020, 295(1): 22-23.

[15]
F. Wu, S. Zhao, B. Yu, et al., Complete genome characterisation of a novel coronavirus associated with sever human reapiratory disease in Wuhan, China. 2020.
[16]

P. Zhou, X.L. Yang, X.G. Wang, et al., A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature, 2020, 579(7798): 270-273.

[17]

Y. Li, D. Li, B. Wang, et al., Comparison of detection performance between six novel coronavirus nucleic acid detection reagents. Shandong Medical Journal, 2020, 60(15): 14-17.

[18]

D. Xiong, L. Kan, M. Wang, et al., Evaluation of the consistency and detection capability of seven domestic 2019-nCoV nucleic acid detection kits. Chin J Lab Med, 2020, 43(8): 787-793.

[19]

B.F.V. Chantal, F.B. Anderson, A.W. Anne, et al., Analytical sensitivity and efficiency comparisons of SARS-CoV-2 RT-qPCR primer-probe sets. Nat Microbiol, 2020, 5(10): 1299-1305.

[20]
Y. Jung, G.S. Park, J.H. Moon, et al. Comparative Analysis of Primer-Probe Sets for RT-qPCR of COVID-19 Causative Virus (SARS-CoV-2). ACS Infect Dis, 6(9): 2513-2523.
Nano Biomedicine and Engineering
Pages 311-315
Cite this article:
Chen X, Xu Y, Tian J, et al. A Rapid and High-Sensitive Real-Time Reverse Transcription-Polymerase Chain Reaction Assay Used for the Detection of Severe Acute Respiratory Syndrome Coronavirus 2. Nano Biomedicine and Engineering, 2020, 12(4): 311-315. https://doi.org/10.5101/nbe.v12i4.p311-315

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Received: 24 August 2020
Accepted: 27 October 2020
Published: 27 October 2020
© Xiaomin Chen, Yan Xu, Jing Tian, Xueling Li, Hui Liang, Ang Gao, Zexi Liu, Dicheng Yang, Qi Shen, and Daxiang Cui.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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