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Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern
Previous studies have highlighted CRISPR-based nucleic acid detection as rapid and sensitive diagnostic methods for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here, we reported an optimized CRISPR-Cas12a diagnostic platform for the safe and rapid detection of SARS-CoV-2 variants o...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715597/ https://www.ncbi.nlm.nih.gov/pubmed/36466682 http://dx.doi.org/10.3389/fmicb.2022.1070940 |
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author | Lin, Huihuang Zheng, Weibo Li, Shenwei Wang, Yu Wei, Dong Xie, Leiying Lu, Wei Tian, Zhengan Wang, Shaowei Qu, Jieming Liu, Jia |
author_facet | Lin, Huihuang Zheng, Weibo Li, Shenwei Wang, Yu Wei, Dong Xie, Leiying Lu, Wei Tian, Zhengan Wang, Shaowei Qu, Jieming Liu, Jia |
author_sort | Lin, Huihuang |
collection | PubMed |
description | Previous studies have highlighted CRISPR-based nucleic acid detection as rapid and sensitive diagnostic methods for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here, we reported an optimized CRISPR-Cas12a diagnostic platform for the safe and rapid detection of SARS-CoV-2 variants of concern (VOCs). This platform, which was referred to as CALIBURN-v2, could complete the diagnosis on extracted RNA samples within 25 min in a closed-lid reaction mode and had 100-fold increase in detection sensitivity in comparison with previous platforms. Most importantly, by integrating a portable device and smartphone user interface, CALIBURN-v2 allowed for cloud server-based data collection and management, thus transforming the point-of-care testing (POCT) platform to internet of medical things (IoMT) applications. It was found that IoMT-enabled CALIBURN-v2 could achieve 95.56% (172 out of 180) sensitivity for SARS-CoV-2 wild type and 94.38% (84 out of 89) overall sensitivity for SARS-CoV-2 variants including Delta and Omicron strains. Therefore, our study provides a feasible approach for IoMT-enabled CRISPR diagnostics for the detection of SARS-CoV-2 VOCs. |
format | Online Article Text |
id | pubmed-9715597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97155972022-12-03 Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern Lin, Huihuang Zheng, Weibo Li, Shenwei Wang, Yu Wei, Dong Xie, Leiying Lu, Wei Tian, Zhengan Wang, Shaowei Qu, Jieming Liu, Jia Front Microbiol Microbiology Previous studies have highlighted CRISPR-based nucleic acid detection as rapid and sensitive diagnostic methods for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here, we reported an optimized CRISPR-Cas12a diagnostic platform for the safe and rapid detection of SARS-CoV-2 variants of concern (VOCs). This platform, which was referred to as CALIBURN-v2, could complete the diagnosis on extracted RNA samples within 25 min in a closed-lid reaction mode and had 100-fold increase in detection sensitivity in comparison with previous platforms. Most importantly, by integrating a portable device and smartphone user interface, CALIBURN-v2 allowed for cloud server-based data collection and management, thus transforming the point-of-care testing (POCT) platform to internet of medical things (IoMT) applications. It was found that IoMT-enabled CALIBURN-v2 could achieve 95.56% (172 out of 180) sensitivity for SARS-CoV-2 wild type and 94.38% (84 out of 89) overall sensitivity for SARS-CoV-2 variants including Delta and Omicron strains. Therefore, our study provides a feasible approach for IoMT-enabled CRISPR diagnostics for the detection of SARS-CoV-2 VOCs. Frontiers Media S.A. 2022-11-18 /pmc/articles/PMC9715597/ /pubmed/36466682 http://dx.doi.org/10.3389/fmicb.2022.1070940 Text en Copyright © 2022 Lin, Zheng, Li, Wang, Wei, Xie, Lu, Tian, Wang, Qu and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Lin, Huihuang Zheng, Weibo Li, Shenwei Wang, Yu Wei, Dong Xie, Leiying Lu, Wei Tian, Zhengan Wang, Shaowei Qu, Jieming Liu, Jia Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern |
title | Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern |
title_full | Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern |
title_fullStr | Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern |
title_full_unstemmed | Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern |
title_short | Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern |
title_sort | internet of medical things-enabled crispr diagnostics for rapid detection of sars-cov-2 variants of concern |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715597/ https://www.ncbi.nlm.nih.gov/pubmed/36466682 http://dx.doi.org/10.3389/fmicb.2022.1070940 |
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