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A High-Throughput, Multi-Index Isothermal Amplification Platform for Rapid Detection of 19 Types of Common Respiratory Viruses Including SARS-CoV-2

Fast and accurate diagnosis and the immediate isolation of patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are regarded as the most effective measures to restrain the coronavirus disease 2019 (COVID-19) pandemic. Here, we present a high-throughput, multi-index nuc...

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Autores principales: Xing, Wanli, Liu, Yingying, Wang, Huili, Li, Shanglin, Lin, Yongping, Chen, Lei, Zhao, Yan, Chao, Shuang, Huang, Xiaolan, Ge, Shaolin, Deng, Tao, Zhao, Tian, Li, Baolian, Wang, Hanbo, Wang, Lei, Song, Yunpeng, Jin, Ronghua, He, Jianxing, Zhao, Xiuying, Liu, Peng, Li, Weimin, Cheng, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833526/
https://www.ncbi.nlm.nih.gov/pubmed/33520332
http://dx.doi.org/10.1016/j.eng.2020.07.015
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author Xing, Wanli
Liu, Yingying
Wang, Huili
Li, Shanglin
Lin, Yongping
Chen, Lei
Zhao, Yan
Chao, Shuang
Huang, Xiaolan
Ge, Shaolin
Deng, Tao
Zhao, Tian
Li, Baolian
Wang, Hanbo
Wang, Lei
Song, Yunpeng
Jin, Ronghua
He, Jianxing
Zhao, Xiuying
Liu, Peng
Li, Weimin
Cheng, Jing
author_facet Xing, Wanli
Liu, Yingying
Wang, Huili
Li, Shanglin
Lin, Yongping
Chen, Lei
Zhao, Yan
Chao, Shuang
Huang, Xiaolan
Ge, Shaolin
Deng, Tao
Zhao, Tian
Li, Baolian
Wang, Hanbo
Wang, Lei
Song, Yunpeng
Jin, Ronghua
He, Jianxing
Zhao, Xiuying
Liu, Peng
Li, Weimin
Cheng, Jing
author_sort Xing, Wanli
collection PubMed
description Fast and accurate diagnosis and the immediate isolation of patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are regarded as the most effective measures to restrain the coronavirus disease 2019 (COVID-19) pandemic. Here, we present a high-throughput, multi-index nucleic acid isothermal amplification analyzer (RTisochip™-W) employing a centrifugal microfluidic chip to detect 19 common respiratory viruses, including SARS-CoV-2, from 16 samples in a single run within 90 min. The limits of detection of all the viruses analyzed by the RTisochip™-W system were equal to or less than 50 copies·μL(−1), which is comparable to those of conventional reverse transcription polymerase chain reaction. We also demonstrate that the RTisochip™-W system possesses the advantages of good repeatability, strong robustness, and high specificity. Finally, we analyzed 201 cases of preclinical samples, 14 cases of COVID-19-positive samples, 25 cases of clinically diagnosed samples, and 614 cases of clinical samples from patients or suspected patients with respiratory tract infections using the RTisochip™-W system. The test results matched the referenced results well and reflected the epidemic characteristics of the respiratory infectious diseases. The coincidence rate of the RTisochip™-W with the referenced kits was 98.15% for the detection of SARS-CoV-2. Based on these extensive trials, we believe that the RTisochip™-W system provides a powerful platform for fighting the COVID-19 pandemic.
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spelling pubmed-78335262021-01-26 A High-Throughput, Multi-Index Isothermal Amplification Platform for Rapid Detection of 19 Types of Common Respiratory Viruses Including SARS-CoV-2 Xing, Wanli Liu, Yingying Wang, Huili Li, Shanglin Lin, Yongping Chen, Lei Zhao, Yan Chao, Shuang Huang, Xiaolan Ge, Shaolin Deng, Tao Zhao, Tian Li, Baolian Wang, Hanbo Wang, Lei Song, Yunpeng Jin, Ronghua He, Jianxing Zhao, Xiuying Liu, Peng Li, Weimin Cheng, Jing Engineering (Beijing) Research Coronavirus Disease 2019—Article Fast and accurate diagnosis and the immediate isolation of patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are regarded as the most effective measures to restrain the coronavirus disease 2019 (COVID-19) pandemic. Here, we present a high-throughput, multi-index nucleic acid isothermal amplification analyzer (RTisochip™-W) employing a centrifugal microfluidic chip to detect 19 common respiratory viruses, including SARS-CoV-2, from 16 samples in a single run within 90 min. The limits of detection of all the viruses analyzed by the RTisochip™-W system were equal to or less than 50 copies·μL(−1), which is comparable to those of conventional reverse transcription polymerase chain reaction. We also demonstrate that the RTisochip™-W system possesses the advantages of good repeatability, strong robustness, and high specificity. Finally, we analyzed 201 cases of preclinical samples, 14 cases of COVID-19-positive samples, 25 cases of clinically diagnosed samples, and 614 cases of clinical samples from patients or suspected patients with respiratory tract infections using the RTisochip™-W system. The test results matched the referenced results well and reflected the epidemic characteristics of the respiratory infectious diseases. The coincidence rate of the RTisochip™-W with the referenced kits was 98.15% for the detection of SARS-CoV-2. Based on these extensive trials, we believe that the RTisochip™-W system provides a powerful platform for fighting the COVID-19 pandemic. THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. 2020-10 2020-09-05 /pmc/articles/PMC7833526/ /pubmed/33520332 http://dx.doi.org/10.1016/j.eng.2020.07.015 Text en © 2020 THE AUTHORS Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Research Coronavirus Disease 2019—Article
Xing, Wanli
Liu, Yingying
Wang, Huili
Li, Shanglin
Lin, Yongping
Chen, Lei
Zhao, Yan
Chao, Shuang
Huang, Xiaolan
Ge, Shaolin
Deng, Tao
Zhao, Tian
Li, Baolian
Wang, Hanbo
Wang, Lei
Song, Yunpeng
Jin, Ronghua
He, Jianxing
Zhao, Xiuying
Liu, Peng
Li, Weimin
Cheng, Jing
A High-Throughput, Multi-Index Isothermal Amplification Platform for Rapid Detection of 19 Types of Common Respiratory Viruses Including SARS-CoV-2
title A High-Throughput, Multi-Index Isothermal Amplification Platform for Rapid Detection of 19 Types of Common Respiratory Viruses Including SARS-CoV-2
title_full A High-Throughput, Multi-Index Isothermal Amplification Platform for Rapid Detection of 19 Types of Common Respiratory Viruses Including SARS-CoV-2
title_fullStr A High-Throughput, Multi-Index Isothermal Amplification Platform for Rapid Detection of 19 Types of Common Respiratory Viruses Including SARS-CoV-2
title_full_unstemmed A High-Throughput, Multi-Index Isothermal Amplification Platform for Rapid Detection of 19 Types of Common Respiratory Viruses Including SARS-CoV-2
title_short A High-Throughput, Multi-Index Isothermal Amplification Platform for Rapid Detection of 19 Types of Common Respiratory Viruses Including SARS-CoV-2
title_sort high-throughput, multi-index isothermal amplification platform for rapid detection of 19 types of common respiratory viruses including sars-cov-2
topic Research Coronavirus Disease 2019—Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833526/
https://www.ncbi.nlm.nih.gov/pubmed/33520332
http://dx.doi.org/10.1016/j.eng.2020.07.015
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