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

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

doi:10.3389/fmicb.2022.1070940

Frontiers in Microbiology (Nov 2022)

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

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

Affiliations

Huihuang Lin: Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Huihuang Lin: Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Huihuang Lin: Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, China
Weibo Zheng: State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China
Weibo Zheng: University of Chinese Academy of Sciences, Beijing, China
Shenwei Li: Shanghai International Travel Healthcare Center, Shanghai, China
Yu Wang: Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and Technology, ShanghaiTech University, Shanghai, China
Dong Wei: Department of Infectious Diseases, Research Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Leiying Xie: State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China
Leiying Xie: University of Chinese Academy of Sciences, Beijing, China
Leiying Xie: School of Physical Science and Technology, ShanghaiTech University, Shanghai, China
Wei Lu: State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China
Wei Lu: University of Chinese Academy of Sciences, Beijing, China
Wei Lu: School of Physical Science and Technology, ShanghaiTech University, Shanghai, China
Zhengan Tian: Shanghai International Travel Healthcare Center, Shanghai, China
Shaowei Wang: State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China
Shaowei Wang: University of Chinese Academy of Sciences, Beijing, China
Jieming Qu: Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Jieming Qu: Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Jieming Qu: Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, China
Jia Liu: Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and Technology, ShanghaiTech University, Shanghai, China
Jia Liu: 0Shanghai Clinical Research and Trial Center, Shanghai, China
Jia Liu: 1Gene Editing Center, School of Life Science and Technology, ShanghaiTech University, Shanghai, China
Jia Liu: 2Guangzhou Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong, China

DOI: https://doi.org/10.3389/fmicb.2022.1070940
Journal volume & issue: Vol. 13

Abstract

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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.

Published in Frontiers in Microbiology

ISSN: 1664-302X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Science: Microbiology
Website: http://www.frontiersin.org/journals/microbiology

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