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Liu J, Wang H, Zhang L, Lu Y, Wang X, Shen M, Li N, Feng L, Jing J, Cao B, Zou X, Cheng J, Xu Y. Sensitive and Rapid Diagnosis of Respiratory Virus Coinfection Using a Microfluidic Chip-Powered CRISPR/Cas12a System. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2200854. [PMID: 35599436 DOI: 10.1002/smll.202200854] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/19/2022] [Indexed: 06/15/2023]
Abstract
The ongoing pandemic caused by severe acute respiratory syndrome coronavirus 2 is profoundly influencing the global healthcare system and people's daily lives. The high resource consumption of coronavirus disease 2019 (COVID-19) is resulting in insufficient surveillance of coinfection or resurgence of other critical respiratory epidemics, which is of public concern. To facilitate evaluation of the current coinfection situation, a microfluidic system (MAPnavi) is developed for the rapid (<40 min) and sensitive diagnosis of multiple respiratory viruses from swab samples in a fully sealed and automated manner, in which a nested-recombinase polymerase amplification and the CRISPR-based amplification system is first proposed to ensure the sensitivity and specificity. This novel system has a remarkably low limit of detection (50-200 copies mL-1 ) and is successfully applied to detect 171 clinical samples (98.5% positive predictive agreement; 100% negative predictive agreement), and the results identify 45.6% coinfection among clinical samples from patients with COVID-19. This approach has the potential to shift diagnostic and surveillance efforts from targeted testing for a high-priority virus to comprehensive testing of multiple virus sets and to greatly benefit the implementation of decentralized testing.
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Affiliation(s)
- Jiajia Liu
- State Key Laboratory of Membrane Biology, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Huili Wang
- State Key Laboratory of Membrane Biology, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Li Zhang
- State Key Laboratory of Membrane Biology, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Ying Lu
- State Key Laboratory of Membrane Biology, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Xu Wang
- State Key Laboratory of Membrane Biology, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Minjie Shen
- State Key Laboratory of Membrane Biology, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Nan Li
- State Key Laboratory of Membrane Biology, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Li Feng
- CapitalBiotech Technology, Beijing, 101111, China
| | - Juhui Jing
- CapitalBiotech Technology, Beijing, 101111, China
| | - Bin Cao
- Department of Pulmonary and Critical Care Medicine, Laboratory of Clinical Microbiology and Infectious Diseases, Center for Respiratory Diseases, National Clinical Research Center of Respiratory Diseases, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Xiaohui Zou
- Department of Pulmonary and Critical Care Medicine, Laboratory of Clinical Microbiology and Infectious Diseases, Center for Respiratory Diseases, National Clinical Research Center of Respiratory Diseases, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Jing Cheng
- State Key Laboratory of Membrane Biology, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China
- National Engineering Research Center for Beijing Biochip Technology, Beijing, 102200, China
| | - Youchun Xu
- State Key Laboratory of Membrane Biology, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China
- National Engineering Research Center for Beijing Biochip Technology, Beijing, 102200, China
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Wang S, Fan Y, Feng Z, Song M, Li Q, Jiang B, Qin F, Liu H, Lan L, Yang M. Rapid nucleic acid detection of Escherichia coli O157:H7 based on CRISPR/Cas12a system. Food Control 2021. [DOI: 10.1016/j.foodcont.2021.108194] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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