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

doi:10.3389/fmicb.2022.1070940

	Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern
	Lin, Huihuang 1,2,3; Zheng, Weibo 4,5; Li, Shenwei 6; Wang, Yu7,8 ; Wei, Dong 9; Xie, Leiying4,5,10 ; Lu, Wei4,5,10 ; Tian, Zhengan 6; Wang, Shaowei 4,5; Qu, Jieming 1,2,3; Liu, Jia7,8,11,12
	2022-11-18
发表期刊	FRONTIERS IN MICROBIOLOGY (IF:4.0[JCR-2023],5.1[5-Year])
EISSN	1664-302X
卷号	13
发表状态	已发表
DOI	10.3389/fmicb.2022.1070940
摘要	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.
关键词	SARS-CoV-2 variants of concern CRISPR-Cas12a closed-lid smartphone control point-of-care testing internet of medical things
URL	查看原文
收录类别	SCI
语种	英语
资助项目	Zhangjiang National Innovation Demonstration Zone[ZJ2020-ZD-004] ; Zhejiang University special scientific research fund for COVID-19 prevention and control[2020XGZX011] ; National Key Research and Development Program of China[2018YFE0102400] ; Science and Technology Commission of Shanghai Municipality["19JC1413000","19430750600"] ; Cultivation Project of Shanghai Major Infectious Disease Research Base[20dz2210500] ; Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai[20dz2261100] ; Medicine and Engineering Interdisciplinary Research Fund of Shanghai Jiao Tong University[19x190020171] ; ShanghaiTech University Startup Fund[2019F0301-000-01]
WOS研究方向	Microbiology
WOS类目	Microbiology
WOS记录号	WOS:000912339800001
出版者	FRONTIERS MEDIA SA
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/274930
专题	免疫化学研究所_PI研究组_刘佳组生命科学与技术学院物质科学与技术学院_特聘教授组_陆卫组物质科学与技术学院_PI研究组_季泉江组物质科学与技术学院_博士生
通讯作者	Tian, Zhengan; Wang, Shaowei; Qu, Jieming; Liu, Jia
作者单位	1.Shanghai Jiao Tong Univ, Ruijin Hosp, Dept Pulm & Crit Care Med, Sch Med, Shanghai, Peoples R China 2.Shanghai Jiao Tong Univ, Inst Resp Dis, Sch Med, Shanghai, Peoples R China 3.Shanghai Key Lab Emergency Prevent Diag & Treatmen, Shanghai, Peoples R China 4.Chinese Acad Sci, Shanghai Inst Tech Phys, State Key Lab Infrared Phys, Shanghai, Peoples R China 5.Univ Chinese Acad Sci, Beijing, Peoples R China 6.Shanghai Int Travel Healthcare Ctr, Shanghai, Peoples R China 7.ShanghaiTech Univ, Shanghai Inst Adv Immunochem Studies, Shanghai, Peoples R China 8.ShanghaiTech Univ, Sch Life Sci & Technol, Shanghai, Peoples R China 9.Shanghai Jiao Tong Univ, Ruijin Hosp, Dept Infect Dis, Res Lab Clin Virol,Sch Med, Shanghai, Peoples R China 10.ShanghaiTech Univ, Sch Phys Sci & Technol, Shanghai, Guangdong, Peoples R China 11.Shanghai Clin Res & Trial Ctr, Shanghai, Peoples R China 12.ShanghaiTech Univ, Gene Editing Ctr, Sch Life Sci & Technol, Shanghai, Peoples R China
通讯作者单位	免疫化学研究所; 生命科学与技术学院
推荐引用方式 GB/T 7714	Lin, Huihuang,Zheng, Weibo,Li, Shenwei,et al. Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern[J]. FRONTIERS IN MICROBIOLOGY,2022,13.
APA	Lin, Huihuang.,Zheng, Weibo.,Li, Shenwei.,Wang, Yu.,Wei, Dong.,...&Liu, Jia.(2022).Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern.FRONTIERS IN MICROBIOLOGY,13.
MLA	Lin, Huihuang,et al."Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern".FRONTIERS IN MICROBIOLOGY 13(2022).