Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern

Huihuang Lin; Weibo Zheng; Shenwei Li; Yu Wang; Dong Wei; Leiying Xie; Wei Lu; Zhengan Tian; Shaowei Wang; Jieming Qu; Jia Liu

doi:10.3389/fmicb.2022.1070940

Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern

Huihuang Lin
, Weibo Zheng
, Shenwei Li
, Yu Wang
, Dong Wei
, Leiying Xie
, Wei Lu
, Zhengan Tian^*
, Shaowei Wang^*
, Jieming Qu^*
, Jia Liu^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

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.

Original language	English
Article number	1070940
Journal	Frontiers in Microbiology
Volume	13
DOIs	https://doi.org/10.3389/fmicb.2022.1070940
State	Published - 18 Nov 2022
Externally published	Yes

Keywords

CRISPR-Cas12a
SARS-CoV-2
closed-lid
internet of medical things
point-of-care testing
smartphone control
variants of concern

Access to Document

10.3389/fmicb.2022.1070940

Cite this

@article{5a859ac2fa9247e8940d2766f4935121,

title = "Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern",

abstract = "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.",

keywords = "CRISPR-Cas12a, SARS-CoV-2, closed-lid, internet of medical things, point-of-care testing, smartphone control, variants of concern",

author = "Huihuang Lin and Weibo Zheng and Shenwei Li and Yu Wang and Dong Wei and Leiying Xie and Wei Lu and Zhengan Tian and Shaowei Wang and Jieming Qu and Jia Liu",

note = "Publisher Copyright: Copyright {\textcopyright} 2022 Lin, Zheng, Li, Wang, Wei, Xie, Lu, Tian, Wang, Qu and Liu.",

year = "2022",

month = nov,

day = "18",

doi = "10.3389/fmicb.2022.1070940",

language = "英语",

volume = "13",

journal = "Frontiers in Microbiology",

issn = "1664-302X",

publisher = "Frontiers Media SA",

}

TY - JOUR

T1 - Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern

AU - Lin, Huihuang

AU - Zheng, Weibo

AU - Li, Shenwei

AU - Wang, Yu

AU - Wei, Dong

AU - Xie, Leiying

AU - Lu, Wei

AU - Tian, Zhengan

AU - Wang, Shaowei

AU - Qu, Jieming

AU - Liu, Jia

PY - 2022/11/18

Y1 - 2022/11/18

N2 - 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.

AB - 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.

KW - CRISPR-Cas12a

KW - SARS-CoV-2

KW - closed-lid

KW - internet of medical things

KW - point-of-care testing

KW - smartphone control

KW - variants of concern

UR - https://www.scopus.com/pages/publications/85143311664

U2 - 10.3389/fmicb.2022.1070940

DO - 10.3389/fmicb.2022.1070940

M3 - 文章

AN - SCOPUS:85143311664

SN - 1664-302X

VL - 13

JO - Frontiers in Microbiology

JF - Frontiers in Microbiology

M1 - 1070940

ER -

Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this