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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.
  • Lin H; Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zheng W; Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Li S; Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, China.
  • Wang Y; State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China.
  • Wei D; University of Chinese Academy of Sciences, Beijing, China.
  • Xie L; Shanghai International Travel Healthcare Center, Shanghai, China.
  • Lu W; Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
  • Tian Z; Department of Infectious Diseases, Research Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Wang S; State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China.
  • Qu J; University of Chinese Academy of Sciences, Beijing, China.
  • Liu J; School of Physical Science and Technology, ShanghaiTech University, Shanghai, China.
Front Microbiol ; 13: 1070940, 2022.
Artículo en Inglés | MEDLINE | ID: covidwho-2224831
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.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Tipo de estudio: Estudios diagnósticos Tópicos: Variantes Idioma: Inglés Revista: Front Microbiol Año: 2022 Tipo del documento: Artículo País de afiliación: Fmicb.2022.1070940

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Tipo de estudio: Estudios diagnósticos Tópicos: Variantes Idioma: Inglés Revista: Front Microbiol Año: 2022 Tipo del documento: Artículo País de afiliación: Fmicb.2022.1070940