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Study and interest of cellular load in respiratory samples for the optimization of molecular virological diagnosis in clinical practice
BACKGROUND: Respiratory viral diagnosis of upper respiratory tract infections has largely developed through multiplex molecular techniques. Although the sensitivity of different types of upper respiratory tract samples seems to be correlated to the number of sampled cells, this link remains largely...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977610/ https://www.ncbi.nlm.nih.gov/pubmed/27503120 http://dx.doi.org/10.1186/s12879-016-1730-9 |
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author | Bonnin, Paul Miszczak, Fabien Kin, Nathalie Resa, Cecile Dina, Julia Gouarin, Stephanie Viron, Florent Morello, Remy Vabret, Astrid |
author_facet | Bonnin, Paul Miszczak, Fabien Kin, Nathalie Resa, Cecile Dina, Julia Gouarin, Stephanie Viron, Florent Morello, Remy Vabret, Astrid |
author_sort | Bonnin, Paul |
collection | PubMed |
description | BACKGROUND: Respiratory viral diagnosis of upper respiratory tract infections has largely developed through multiplex molecular techniques. Although the sensitivity of different types of upper respiratory tract samples seems to be correlated to the number of sampled cells, this link remains largely unexplored. METHODS: Our study included 800 upper respiratory tract specimens of which 400 negative and 400 positive for viral detection in multiplex PCR. All samples were selected and matched for age in these 2 groups. For the positive group, samples were selected for the detected viral species. RESULTS: Among the factors influencing the cellularity were the type of sample (p < 0.0001); patient age (p < 0.001); viral positive or negative nature of the sample (p = 0.002); and, for the positive samples, the number of viral targets detected (0.004 < p < 0.049) and viral species. CONCLUSION: The cellular load of upper respiratory samples is multifactorial and occurs for many in the sensitivity of molecular detection. However it was not possible to determine a minimum cellularity threshold allowing molecular viral detection. The differences according to the type of virus remain to be studied on a larger scale. |
format | Online Article Text |
id | pubmed-4977610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49776102016-08-17 Study and interest of cellular load in respiratory samples for the optimization of molecular virological diagnosis in clinical practice Bonnin, Paul Miszczak, Fabien Kin, Nathalie Resa, Cecile Dina, Julia Gouarin, Stephanie Viron, Florent Morello, Remy Vabret, Astrid BMC Infect Dis Research Article BACKGROUND: Respiratory viral diagnosis of upper respiratory tract infections has largely developed through multiplex molecular techniques. Although the sensitivity of different types of upper respiratory tract samples seems to be correlated to the number of sampled cells, this link remains largely unexplored. METHODS: Our study included 800 upper respiratory tract specimens of which 400 negative and 400 positive for viral detection in multiplex PCR. All samples were selected and matched for age in these 2 groups. For the positive group, samples were selected for the detected viral species. RESULTS: Among the factors influencing the cellularity were the type of sample (p < 0.0001); patient age (p < 0.001); viral positive or negative nature of the sample (p = 0.002); and, for the positive samples, the number of viral targets detected (0.004 < p < 0.049) and viral species. CONCLUSION: The cellular load of upper respiratory samples is multifactorial and occurs for many in the sensitivity of molecular detection. However it was not possible to determine a minimum cellularity threshold allowing molecular viral detection. The differences according to the type of virus remain to be studied on a larger scale. BioMed Central 2016-08-09 /pmc/articles/PMC4977610/ /pubmed/27503120 http://dx.doi.org/10.1186/s12879-016-1730-9 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Bonnin, Paul Miszczak, Fabien Kin, Nathalie Resa, Cecile Dina, Julia Gouarin, Stephanie Viron, Florent Morello, Remy Vabret, Astrid Study and interest of cellular load in respiratory samples for the optimization of molecular virological diagnosis in clinical practice |
title | Study and interest of cellular load in respiratory samples for the optimization of molecular virological diagnosis in clinical practice |
title_full | Study and interest of cellular load in respiratory samples for the optimization of molecular virological diagnosis in clinical practice |
title_fullStr | Study and interest of cellular load in respiratory samples for the optimization of molecular virological diagnosis in clinical practice |
title_full_unstemmed | Study and interest of cellular load in respiratory samples for the optimization of molecular virological diagnosis in clinical practice |
title_short | Study and interest of cellular load in respiratory samples for the optimization of molecular virological diagnosis in clinical practice |
title_sort | study and interest of cellular load in respiratory samples for the optimization of molecular virological diagnosis in clinical practice |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977610/ https://www.ncbi.nlm.nih.gov/pubmed/27503120 http://dx.doi.org/10.1186/s12879-016-1730-9 |
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