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Multiplex detection of eight different viral enteropathogens in clinical samples, combining RT-PCR technology with melting curve analysis

BACKGROUND: Early and accurate identification of infection viruses among children can benefit the personalized medical treatment and management, and reduce the future occurrence of serious symptoms. Thus, it is critical to develop a high-throughput multiplex real-time RT-PCR method to improve the ac...

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Autores principales: Li, Wei, Li, Weiwei, Li, Lin, Guo, Yajun, Chen, Jie, Shang, Shiqiang, Mao, Jianhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991609/
https://www.ncbi.nlm.nih.gov/pubmed/35392937
http://dx.doi.org/10.1186/s12985-022-01789-z
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author Li, Wei
Li, Weiwei
Li, Lin
Guo, Yajun
Chen, Jie
Shang, Shiqiang
Mao, Jianhua
author_facet Li, Wei
Li, Weiwei
Li, Lin
Guo, Yajun
Chen, Jie
Shang, Shiqiang
Mao, Jianhua
author_sort Li, Wei
collection PubMed
description BACKGROUND: Early and accurate identification of infection viruses among children can benefit the personalized medical treatment and management, and reduce the future occurrence of serious symptoms. Thus, it is critical to develop a high-throughput multiplex real-time RT-PCR method to improve the accuracy and efficiency in routine clinical lab tests. METHODS: We developed a real time RT-PCR combined with melting curve analysis (RRCMC) method for simultaneous detection of rotavirus A, B, C, norovirus GI and GII, adenovirus, astrovirus and sapovirus. RESULTS: Stool samples were collected from 160 children with acute diarrhea and tested by RRCMC assay. A total of 71 patients were tested positive with norovirus, adenovirus or rotavirus. The RRCMC assay has high specificity. There is no internal cross-reaction among the 8 diarrhea viruses and no cross-reaction of other commonly intestinal pathogens and human genome. The limit detection was ranged from 1 × 10(2) to 1 × 10(5) nucleic acid copies/ml for each diarrhea virus. CONCLUSION: The RRCMC method is a suitable rapid clinical test for infectious viruses, with the advantages of high-throughput, low cost, high sensitivity and specificity.
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spelling pubmed-89916092022-04-09 Multiplex detection of eight different viral enteropathogens in clinical samples, combining RT-PCR technology with melting curve analysis Li, Wei Li, Weiwei Li, Lin Guo, Yajun Chen, Jie Shang, Shiqiang Mao, Jianhua Virol J Research BACKGROUND: Early and accurate identification of infection viruses among children can benefit the personalized medical treatment and management, and reduce the future occurrence of serious symptoms. Thus, it is critical to develop a high-throughput multiplex real-time RT-PCR method to improve the accuracy and efficiency in routine clinical lab tests. METHODS: We developed a real time RT-PCR combined with melting curve analysis (RRCMC) method for simultaneous detection of rotavirus A, B, C, norovirus GI and GII, adenovirus, astrovirus and sapovirus. RESULTS: Stool samples were collected from 160 children with acute diarrhea and tested by RRCMC assay. A total of 71 patients were tested positive with norovirus, adenovirus or rotavirus. The RRCMC assay has high specificity. There is no internal cross-reaction among the 8 diarrhea viruses and no cross-reaction of other commonly intestinal pathogens and human genome. The limit detection was ranged from 1 × 10(2) to 1 × 10(5) nucleic acid copies/ml for each diarrhea virus. CONCLUSION: The RRCMC method is a suitable rapid clinical test for infectious viruses, with the advantages of high-throughput, low cost, high sensitivity and specificity. BioMed Central 2022-04-07 /pmc/articles/PMC8991609/ /pubmed/35392937 http://dx.doi.org/10.1186/s12985-022-01789-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Wei
Li, Weiwei
Li, Lin
Guo, Yajun
Chen, Jie
Shang, Shiqiang
Mao, Jianhua
Multiplex detection of eight different viral enteropathogens in clinical samples, combining RT-PCR technology with melting curve analysis
title Multiplex detection of eight different viral enteropathogens in clinical samples, combining RT-PCR technology with melting curve analysis
title_full Multiplex detection of eight different viral enteropathogens in clinical samples, combining RT-PCR technology with melting curve analysis
title_fullStr Multiplex detection of eight different viral enteropathogens in clinical samples, combining RT-PCR technology with melting curve analysis
title_full_unstemmed Multiplex detection of eight different viral enteropathogens in clinical samples, combining RT-PCR technology with melting curve analysis
title_short Multiplex detection of eight different viral enteropathogens in clinical samples, combining RT-PCR technology with melting curve analysis
title_sort multiplex detection of eight different viral enteropathogens in clinical samples, combining rt-pcr technology with melting curve analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991609/
https://www.ncbi.nlm.nih.gov/pubmed/35392937
http://dx.doi.org/10.1186/s12985-022-01789-z
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