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Comparing microbiota profiles in induced and spontaneous sputum samples in COPD patients

BACKGROUND: Induced and spontaneous sputum are used to evaluate the airways microbiota. Whether the sputum types can be used interchangeably in microbiota research is unknown. Our aim was to compare microbiota in induced and spontaneous sputum from COPD patients sampled during the same consultation....

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Autores principales: Tangedal, Solveig, Aanerud, Marianne, Grønseth, Rune, Drengenes, Christine, Wiker, Harald G., Bakke, Per S., Eagan, Tomas M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5576328/
https://www.ncbi.nlm.nih.gov/pubmed/28851370
http://dx.doi.org/10.1186/s12931-017-0645-3
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author Tangedal, Solveig
Aanerud, Marianne
Grønseth, Rune
Drengenes, Christine
Wiker, Harald G.
Bakke, Per S.
Eagan, Tomas M.
author_facet Tangedal, Solveig
Aanerud, Marianne
Grønseth, Rune
Drengenes, Christine
Wiker, Harald G.
Bakke, Per S.
Eagan, Tomas M.
author_sort Tangedal, Solveig
collection PubMed
description BACKGROUND: Induced and spontaneous sputum are used to evaluate the airways microbiota. Whether the sputum types can be used interchangeably in microbiota research is unknown. Our aim was to compare microbiota in induced and spontaneous sputum from COPD patients sampled during the same consultation. METHODS: COPD patients from Bergen, Norway, were followed between 2006/2010, examined during the stable state and exacerbations. 30 patients delivered 36 sample pairs. DNA was extracted by enzymatic and mechanical lysis methods. The V3-V4 region of the 16S rRNA gene was PCR-amplified and prepared for paired-end sequencing. Illumina Miseq System was used for sequencing, and Quantitative Insights Into Microbial Ecology (QIIME) and Stata were used for bioinformatics and statistical analyses. RESULTS: Approximately 4 million sequences were sorted into 1004 different OTUs and further assigned to 106 different taxa. Pair-wise comparison of both taxonomic composition and beta-diversity revealed significant differences in one or both parameters in 1/3 of sample pairs. Alpha-diversity did not differ. Comparing abundances for each taxa identified, showed statistically significant differences between the mean abundances in induced versus spontaneous samples for 15 taxa when disease state was considered. This included potential pathogens like Haemophilus and Moraxella. CONCLUSION: When studying microbiota in sputum samples one should take into consideration how samples are collected and avoid the usage of both induced and spontaneous sputum in the same study.
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spelling pubmed-55763282017-08-31 Comparing microbiota profiles in induced and spontaneous sputum samples in COPD patients Tangedal, Solveig Aanerud, Marianne Grønseth, Rune Drengenes, Christine Wiker, Harald G. Bakke, Per S. Eagan, Tomas M. Respir Res Research BACKGROUND: Induced and spontaneous sputum are used to evaluate the airways microbiota. Whether the sputum types can be used interchangeably in microbiota research is unknown. Our aim was to compare microbiota in induced and spontaneous sputum from COPD patients sampled during the same consultation. METHODS: COPD patients from Bergen, Norway, were followed between 2006/2010, examined during the stable state and exacerbations. 30 patients delivered 36 sample pairs. DNA was extracted by enzymatic and mechanical lysis methods. The V3-V4 region of the 16S rRNA gene was PCR-amplified and prepared for paired-end sequencing. Illumina Miseq System was used for sequencing, and Quantitative Insights Into Microbial Ecology (QIIME) and Stata were used for bioinformatics and statistical analyses. RESULTS: Approximately 4 million sequences were sorted into 1004 different OTUs and further assigned to 106 different taxa. Pair-wise comparison of both taxonomic composition and beta-diversity revealed significant differences in one or both parameters in 1/3 of sample pairs. Alpha-diversity did not differ. Comparing abundances for each taxa identified, showed statistically significant differences between the mean abundances in induced versus spontaneous samples for 15 taxa when disease state was considered. This included potential pathogens like Haemophilus and Moraxella. CONCLUSION: When studying microbiota in sputum samples one should take into consideration how samples are collected and avoid the usage of both induced and spontaneous sputum in the same study. BioMed Central 2017-08-29 2017 /pmc/articles/PMC5576328/ /pubmed/28851370 http://dx.doi.org/10.1186/s12931-017-0645-3 Text en © The Author(s). 2017 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
Tangedal, Solveig
Aanerud, Marianne
Grønseth, Rune
Drengenes, Christine
Wiker, Harald G.
Bakke, Per S.
Eagan, Tomas M.
Comparing microbiota profiles in induced and spontaneous sputum samples in COPD patients
title Comparing microbiota profiles in induced and spontaneous sputum samples in COPD patients
title_full Comparing microbiota profiles in induced and spontaneous sputum samples in COPD patients
title_fullStr Comparing microbiota profiles in induced and spontaneous sputum samples in COPD patients
title_full_unstemmed Comparing microbiota profiles in induced and spontaneous sputum samples in COPD patients
title_short Comparing microbiota profiles in induced and spontaneous sputum samples in COPD patients
title_sort comparing microbiota profiles in induced and spontaneous sputum samples in copd patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5576328/
https://www.ncbi.nlm.nih.gov/pubmed/28851370
http://dx.doi.org/10.1186/s12931-017-0645-3
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