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Laboratory Detection of Respiratory Viruses by Automated Techniques
Advances in clinical virology for detecting respiratory viruses have been focused on nucleic acids amplification techniques, which have converted in the reference method for the diagnosis of acute respiratory infections of viral aetiology. Improvements of current commercial molecular assays to reduc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Open
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522051/ https://www.ncbi.nlm.nih.gov/pubmed/23248735 http://dx.doi.org/10.2174/1874357901206010151 |
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author | Pérez-Ruiz, Mercedes Pedrosa-Corral, Irene Sanbonmatsu-Gámez, Sara Navarro-Marí, José-María |
author_facet | Pérez-Ruiz, Mercedes Pedrosa-Corral, Irene Sanbonmatsu-Gámez, Sara Navarro-Marí, José-María |
author_sort | Pérez-Ruiz, Mercedes |
collection | PubMed |
description | Advances in clinical virology for detecting respiratory viruses have been focused on nucleic acids amplification techniques, which have converted in the reference method for the diagnosis of acute respiratory infections of viral aetiology. Improvements of current commercial molecular assays to reduce hands-on-time rely on two strategies, a stepwise automation (semi-automation) and the complete automation of the whole procedure. Contributions to the former strategy have been the use of automated nucleic acids extractors, multiplex PCR, real-time PCR and/or DNA arrays for detection of amplicons. Commercial fully-automated molecular systems are now available for the detection of respiratory viruses. Some of them could convert in point-of-care methods substituting antigen tests for detection of respiratory syncytial virus and influenza A and B viruses. This article describes laboratory methods for detection of respiratory viruses. A cost-effective and rational diagnostic algorithm is proposed, considering technical aspects of the available assays, infrastructure possibilities of each laboratory and clinic-epidemiologic factors of the infection |
format | Online Article Text |
id | pubmed-3522051 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Bentham Open |
record_format | MEDLINE/PubMed |
spelling | pubmed-35220512012-12-17 Laboratory Detection of Respiratory Viruses by Automated Techniques Pérez-Ruiz, Mercedes Pedrosa-Corral, Irene Sanbonmatsu-Gámez, Sara Navarro-Marí, José-María Open Virol J Article Advances in clinical virology for detecting respiratory viruses have been focused on nucleic acids amplification techniques, which have converted in the reference method for the diagnosis of acute respiratory infections of viral aetiology. Improvements of current commercial molecular assays to reduce hands-on-time rely on two strategies, a stepwise automation (semi-automation) and the complete automation of the whole procedure. Contributions to the former strategy have been the use of automated nucleic acids extractors, multiplex PCR, real-time PCR and/or DNA arrays for detection of amplicons. Commercial fully-automated molecular systems are now available for the detection of respiratory viruses. Some of them could convert in point-of-care methods substituting antigen tests for detection of respiratory syncytial virus and influenza A and B viruses. This article describes laboratory methods for detection of respiratory viruses. A cost-effective and rational diagnostic algorithm is proposed, considering technical aspects of the available assays, infrastructure possibilities of each laboratory and clinic-epidemiologic factors of the infection Bentham Open 2012-11-30 /pmc/articles/PMC3522051/ /pubmed/23248735 http://dx.doi.org/10.2174/1874357901206010151 Text en © Pérez-Ruiz et al.; Licensee Bentham Open http: //creativecommons.org/licenses/by-nc/3.0/ This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http: //creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited. |
spellingShingle | Article Pérez-Ruiz, Mercedes Pedrosa-Corral, Irene Sanbonmatsu-Gámez, Sara Navarro-Marí, José-María Laboratory Detection of Respiratory Viruses by Automated Techniques |
title | Laboratory Detection of Respiratory Viruses by Automated Techniques |
title_full | Laboratory Detection of Respiratory Viruses by Automated Techniques |
title_fullStr | Laboratory Detection of Respiratory Viruses by Automated Techniques |
title_full_unstemmed | Laboratory Detection of Respiratory Viruses by Automated Techniques |
title_short | Laboratory Detection of Respiratory Viruses by Automated Techniques |
title_sort | laboratory detection of respiratory viruses by automated techniques |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522051/ https://www.ncbi.nlm.nih.gov/pubmed/23248735 http://dx.doi.org/10.2174/1874357901206010151 |
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