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Barrett’s esophagus is associated with a distinct oral microbiome

OBJECTIVES: The esophageal microbiome is composed of predominantly oral flora and is altered in reflux-related conditions including Barrett’s esophagus (BE). Changes to the esophageal microbiome may be reflected in the oral cavity. Assessing the oral microbiome thus represents a potential non-invasi...

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Autores principales: Snider, Erik J., Compres, Griselda, Freedberg, Daniel E., Giddins, Marla J., Khiabanian, Hossein, Lightdale, Charles J., Nobel, Yael R., Toussaint, Nora C., Uhlemann, Anne-Catrin, Abrams, Julian A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2018
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862155/
https://www.ncbi.nlm.nih.gov/pubmed/29491399
http://dx.doi.org/10.1038/s41424-018-0005-8
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author Snider, Erik J.
Compres, Griselda
Freedberg, Daniel E.
Giddins, Marla J.
Khiabanian, Hossein
Lightdale, Charles J.
Nobel, Yael R.
Toussaint, Nora C.
Uhlemann, Anne-Catrin
Abrams, Julian A.
author_facet Snider, Erik J.
Compres, Griselda
Freedberg, Daniel E.
Giddins, Marla J.
Khiabanian, Hossein
Lightdale, Charles J.
Nobel, Yael R.
Toussaint, Nora C.
Uhlemann, Anne-Catrin
Abrams, Julian A.
author_sort Snider, Erik J.
collection PubMed
description OBJECTIVES: The esophageal microbiome is composed of predominantly oral flora and is altered in reflux-related conditions including Barrett’s esophagus (BE). Changes to the esophageal microbiome may be reflected in the oral cavity. Assessing the oral microbiome thus represents a potential non-invasive method to identify patients with BE. METHODS: Patients with and without BE undergoing upper endoscopy were prospectively enrolled. Demographics, clinical data, medications, and dietary intake were assessed. 16S rRNA gene sequencing was performed on saliva samples collected prior to endoscopy. Taxonomic differences between groups were assessed via linear discriminant analysis effect size (LEfSe). Logit models were used to develop microbiome signatures to distinguish BE from non-BE, assessed by area under the receiver operating curve (AUROC). RESULTS: A total of 49 patients were enrolled (control = 17, BE = 32). There was no significant difference in alpha diversity comparing all BE patients vs. controls. At the phylum level, the oral microbiome in BE patients had significantly increased relative abundance of Firmicutes (p = 0.005) and decreased Proteobacteria (p = 0.02). There were numerous taxonomic differences in the oral microbiome between BE and controls. A model including relative abundance of Lautropia, Streptococcus, and a genus in the order Bacteroidales distinguished BE from controls with an AUROC 0.94 (95% CI: 0.85–1.00). The optimal cutoff identified BE patients with 96.9% sensitivity and 88.2% specificity. CONCLUSIONS: The oral microbiome in BE patients was markedly altered and distinguished BE with relatively high accuracy. The oral microbiome represents a potential screening marker for BE, and validation studies in larger and distinct populations are warranted.
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spelling pubmed-58621552018-03-22 Barrett’s esophagus is associated with a distinct oral microbiome Snider, Erik J. Compres, Griselda Freedberg, Daniel E. Giddins, Marla J. Khiabanian, Hossein Lightdale, Charles J. Nobel, Yael R. Toussaint, Nora C. Uhlemann, Anne-Catrin Abrams, Julian A. Clin Transl Gastroenterol Original Contributions OBJECTIVES: The esophageal microbiome is composed of predominantly oral flora and is altered in reflux-related conditions including Barrett’s esophagus (BE). Changes to the esophageal microbiome may be reflected in the oral cavity. Assessing the oral microbiome thus represents a potential non-invasive method to identify patients with BE. METHODS: Patients with and without BE undergoing upper endoscopy were prospectively enrolled. Demographics, clinical data, medications, and dietary intake were assessed. 16S rRNA gene sequencing was performed on saliva samples collected prior to endoscopy. Taxonomic differences between groups were assessed via linear discriminant analysis effect size (LEfSe). Logit models were used to develop microbiome signatures to distinguish BE from non-BE, assessed by area under the receiver operating curve (AUROC). RESULTS: A total of 49 patients were enrolled (control = 17, BE = 32). There was no significant difference in alpha diversity comparing all BE patients vs. controls. At the phylum level, the oral microbiome in BE patients had significantly increased relative abundance of Firmicutes (p = 0.005) and decreased Proteobacteria (p = 0.02). There were numerous taxonomic differences in the oral microbiome between BE and controls. A model including relative abundance of Lautropia, Streptococcus, and a genus in the order Bacteroidales distinguished BE from controls with an AUROC 0.94 (95% CI: 0.85–1.00). The optimal cutoff identified BE patients with 96.9% sensitivity and 88.2% specificity. CONCLUSIONS: The oral microbiome in BE patients was markedly altered and distinguished BE with relatively high accuracy. The oral microbiome represents a potential screening marker for BE, and validation studies in larger and distinct populations are warranted. Nature Publishing Group US 2018-02-20 /pmc/articles/PMC5862155/ /pubmed/29491399 http://dx.doi.org/10.1038/s41424-018-0005-8 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, and provide a link to the Creative Commons license. You do not have permission under this license to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Original Contributions
Snider, Erik J.
Compres, Griselda
Freedberg, Daniel E.
Giddins, Marla J.
Khiabanian, Hossein
Lightdale, Charles J.
Nobel, Yael R.
Toussaint, Nora C.
Uhlemann, Anne-Catrin
Abrams, Julian A.
Barrett’s esophagus is associated with a distinct oral microbiome
title Barrett’s esophagus is associated with a distinct oral microbiome
title_full Barrett’s esophagus is associated with a distinct oral microbiome
title_fullStr Barrett’s esophagus is associated with a distinct oral microbiome
title_full_unstemmed Barrett’s esophagus is associated with a distinct oral microbiome
title_short Barrett’s esophagus is associated with a distinct oral microbiome
title_sort barrett’s esophagus is associated with a distinct oral microbiome
topic Original Contributions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862155/
https://www.ncbi.nlm.nih.gov/pubmed/29491399
http://dx.doi.org/10.1038/s41424-018-0005-8
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