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Evaluation of an automated CRISPR-based diagnostic tool for rapid detection of COVID-19
The performance of an automated commercial CRISPR/Cas based technology was evaluated and compared with routine RT-PCR testing to diagnose COVID-19. Suspected and discharged COVID-19 cases were included and tested with CRISPR-based SARS-CoV-2 test and RT-PCR assay using throat swab and sputum specime...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868009/ https://www.ncbi.nlm.nih.gov/pubmed/36712915 http://dx.doi.org/10.1016/j.heliyon.2023.e13190 |
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author | Xu, Jun Ma, Yuanyuan Song, Zhigang Sun, Wei Liu, Yi Shu, Chang Hua, Hua Yang, Ming Liang, Qi |
author_facet | Xu, Jun Ma, Yuanyuan Song, Zhigang Sun, Wei Liu, Yi Shu, Chang Hua, Hua Yang, Ming Liang, Qi |
author_sort | Xu, Jun |
collection | PubMed |
description | The performance of an automated commercial CRISPR/Cas based technology was evaluated and compared with routine RT-PCR testing to diagnose COVID-19. Suspected and discharged COVID-19 cases were included and tested with CRISPR-based SARS-CoV-2 test and RT-PCR assay using throat swab and sputum specimens. The diagnostic yield was calculated and compared using the McNemar test. A total of 437 patients were included for analysis, including COVID-19 (n = 171), discharged cases (n = 155), and others (n = 111). For the diagnosis of COVID-19, the CRISPR-SARS-CoV-2 test had a sensitivity and specificity of 98.2% (168/171) and 100.0% (266/266), respectively; the RT-PCR test had a sensitivity and specificity of 100.0% (171/171) and 100.0% (266/266), respectively. No significant difference was found in the sensitivity of CRISPR-SARS-CoV-2 and RT-PCR. In conclusion, the CRISPR-SARS-CoV-2 test had a comparable performance with RT-PCR and showed several advantages, such as short assay time, low cost, and no requirement for expensive equipment. |
format | Online Article Text |
id | pubmed-9868009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98680092023-01-23 Evaluation of an automated CRISPR-based diagnostic tool for rapid detection of COVID-19 Xu, Jun Ma, Yuanyuan Song, Zhigang Sun, Wei Liu, Yi Shu, Chang Hua, Hua Yang, Ming Liang, Qi Heliyon Research Article The performance of an automated commercial CRISPR/Cas based technology was evaluated and compared with routine RT-PCR testing to diagnose COVID-19. Suspected and discharged COVID-19 cases were included and tested with CRISPR-based SARS-CoV-2 test and RT-PCR assay using throat swab and sputum specimens. The diagnostic yield was calculated and compared using the McNemar test. A total of 437 patients were included for analysis, including COVID-19 (n = 171), discharged cases (n = 155), and others (n = 111). For the diagnosis of COVID-19, the CRISPR-SARS-CoV-2 test had a sensitivity and specificity of 98.2% (168/171) and 100.0% (266/266), respectively; the RT-PCR test had a sensitivity and specificity of 100.0% (171/171) and 100.0% (266/266), respectively. No significant difference was found in the sensitivity of CRISPR-SARS-CoV-2 and RT-PCR. In conclusion, the CRISPR-SARS-CoV-2 test had a comparable performance with RT-PCR and showed several advantages, such as short assay time, low cost, and no requirement for expensive equipment. Elsevier 2023-01-23 /pmc/articles/PMC9868009/ /pubmed/36712915 http://dx.doi.org/10.1016/j.heliyon.2023.e13190 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Xu, Jun Ma, Yuanyuan Song, Zhigang Sun, Wei Liu, Yi Shu, Chang Hua, Hua Yang, Ming Liang, Qi Evaluation of an automated CRISPR-based diagnostic tool for rapid detection of COVID-19 |
title | Evaluation of an automated CRISPR-based diagnostic tool for rapid detection of COVID-19 |
title_full | Evaluation of an automated CRISPR-based diagnostic tool for rapid detection of COVID-19 |
title_fullStr | Evaluation of an automated CRISPR-based diagnostic tool for rapid detection of COVID-19 |
title_full_unstemmed | Evaluation of an automated CRISPR-based diagnostic tool for rapid detection of COVID-19 |
title_short | Evaluation of an automated CRISPR-based diagnostic tool for rapid detection of COVID-19 |
title_sort | evaluation of an automated crispr-based diagnostic tool for rapid detection of covid-19 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868009/ https://www.ncbi.nlm.nih.gov/pubmed/36712915 http://dx.doi.org/10.1016/j.heliyon.2023.e13190 |
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