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Bacterial community composition of chronic periodontitis and novel oral sampling sites for detecting disease indicators

BACKGROUND: Periodontitis is an infectious and inflammatory disease of polymicrobial etiology that can lead to the destruction of bones and tissues that support the teeth. The management of chronic periodontitis (CP) relies heavily on elimination or at least control of known pathogenic consortia ass...

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Autores principales: Galimanas, Vaia, Hall, Michael William, Singh, Natasha, Lynch, Michael David Joseph, Goldberg, Michael, Tenenbaum, Howard, Cvitkovitch, Dennis Gerard, Neufeld, Josh David, Senadheera, Dilani Braziunas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164120/
https://www.ncbi.nlm.nih.gov/pubmed/25225610
http://dx.doi.org/10.1186/2049-2618-2-32
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author Galimanas, Vaia
Hall, Michael William
Singh, Natasha
Lynch, Michael David Joseph
Goldberg, Michael
Tenenbaum, Howard
Cvitkovitch, Dennis Gerard
Neufeld, Josh David
Senadheera, Dilani Braziunas
author_facet Galimanas, Vaia
Hall, Michael William
Singh, Natasha
Lynch, Michael David Joseph
Goldberg, Michael
Tenenbaum, Howard
Cvitkovitch, Dennis Gerard
Neufeld, Josh David
Senadheera, Dilani Braziunas
author_sort Galimanas, Vaia
collection PubMed
description BACKGROUND: Periodontitis is an infectious and inflammatory disease of polymicrobial etiology that can lead to the destruction of bones and tissues that support the teeth. The management of chronic periodontitis (CP) relies heavily on elimination or at least control of known pathogenic consortia associated with the disease. Until now, microbial plaque obtained from the subgingival (SubG) sites has been the primary focus for bacterial community analysis using deep sequencing. In addition to the use of SubG plaque, here, we investigated whether plaque obtained from supragingival (SupG) and tongue dorsum sites can serve as alternatives for monitoring CP-associated bacterial biomarkers. RESULTS: Using SubG, SupG, and tongue plaque DNA from 11 healthy and 13 diseased subjects, we sequenced V3 regions (approximately 200 bases) of the 16S rRNA gene using Illumina sequencing. After quality filtering, approximately 4.1 million sequences were collapsed into operational taxonomic units (OTUs; sequence identity cutoff of >97%) that were classified to a total of 19 phyla spanning 114 genera. Bacterial community diversity and overall composition was not affected by health or disease, and multiresponse permutation procedure (MRPP) on Bray-Curtis distance measures only supported weakly distinct bacterial communities in SubG and tongue plaque depending on health or disease status (P < 0.05). Nonetheless, in SubG and tongue sites, the relative abundance of Firmicutes was increased significantly from health to disease and members of Synergistetes were found in higher abundance across all sites in disease. Taxa indicative of CP were identified in all three locations (for example, Treponema denticola, Porphyromonas gingivalis, Synergistes oral taxa 362 and 363). CONCLUSIONS: For the first time, this study demonstrates that SupG and tongue dorsum plaque can serve as alternative sources for detecting and enumerating known and novel bacterial biomarkers of CP. This finding is clinically important because, in contrast with SubG sampling that requires trained professionals, obtaining plaque from SupG and tongue sites is convenient and minimally-invasive and offers a novel means to track CP-biomarker organisms during treatment outcome monitoring.
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spelling pubmed-41641202014-09-16 Bacterial community composition of chronic periodontitis and novel oral sampling sites for detecting disease indicators Galimanas, Vaia Hall, Michael William Singh, Natasha Lynch, Michael David Joseph Goldberg, Michael Tenenbaum, Howard Cvitkovitch, Dennis Gerard Neufeld, Josh David Senadheera, Dilani Braziunas Microbiome Research BACKGROUND: Periodontitis is an infectious and inflammatory disease of polymicrobial etiology that can lead to the destruction of bones and tissues that support the teeth. The management of chronic periodontitis (CP) relies heavily on elimination or at least control of known pathogenic consortia associated with the disease. Until now, microbial plaque obtained from the subgingival (SubG) sites has been the primary focus for bacterial community analysis using deep sequencing. In addition to the use of SubG plaque, here, we investigated whether plaque obtained from supragingival (SupG) and tongue dorsum sites can serve as alternatives for monitoring CP-associated bacterial biomarkers. RESULTS: Using SubG, SupG, and tongue plaque DNA from 11 healthy and 13 diseased subjects, we sequenced V3 regions (approximately 200 bases) of the 16S rRNA gene using Illumina sequencing. After quality filtering, approximately 4.1 million sequences were collapsed into operational taxonomic units (OTUs; sequence identity cutoff of >97%) that were classified to a total of 19 phyla spanning 114 genera. Bacterial community diversity and overall composition was not affected by health or disease, and multiresponse permutation procedure (MRPP) on Bray-Curtis distance measures only supported weakly distinct bacterial communities in SubG and tongue plaque depending on health or disease status (P < 0.05). Nonetheless, in SubG and tongue sites, the relative abundance of Firmicutes was increased significantly from health to disease and members of Synergistetes were found in higher abundance across all sites in disease. Taxa indicative of CP were identified in all three locations (for example, Treponema denticola, Porphyromonas gingivalis, Synergistes oral taxa 362 and 363). CONCLUSIONS: For the first time, this study demonstrates that SupG and tongue dorsum plaque can serve as alternative sources for detecting and enumerating known and novel bacterial biomarkers of CP. This finding is clinically important because, in contrast with SubG sampling that requires trained professionals, obtaining plaque from SupG and tongue sites is convenient and minimally-invasive and offers a novel means to track CP-biomarker organisms during treatment outcome monitoring. BioMed Central 2014-08-26 /pmc/articles/PMC4164120/ /pubmed/25225610 http://dx.doi.org/10.1186/2049-2618-2-32 Text en Copyright © 2014 Galimanas et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Galimanas, Vaia
Hall, Michael William
Singh, Natasha
Lynch, Michael David Joseph
Goldberg, Michael
Tenenbaum, Howard
Cvitkovitch, Dennis Gerard
Neufeld, Josh David
Senadheera, Dilani Braziunas
Bacterial community composition of chronic periodontitis and novel oral sampling sites for detecting disease indicators
title Bacterial community composition of chronic periodontitis and novel oral sampling sites for detecting disease indicators
title_full Bacterial community composition of chronic periodontitis and novel oral sampling sites for detecting disease indicators
title_fullStr Bacterial community composition of chronic periodontitis and novel oral sampling sites for detecting disease indicators
title_full_unstemmed Bacterial community composition of chronic periodontitis and novel oral sampling sites for detecting disease indicators
title_short Bacterial community composition of chronic periodontitis and novel oral sampling sites for detecting disease indicators
title_sort bacterial community composition of chronic periodontitis and novel oral sampling sites for detecting disease indicators
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164120/
https://www.ncbi.nlm.nih.gov/pubmed/25225610
http://dx.doi.org/10.1186/2049-2618-2-32
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