Cargando…

Oral Microbiome Signatures in Hematological Cancers Reveal Predominance of Actinomyces and Rothia Species

The endogenous microbiome of healthy individuals in oral cavities is diverse, representing over 700 bacterial species. Imbalance in oral and gut microbiome composition and associated gene expression has been linked to different forms of hematological (blood) cancers. Our objective is to compare oral...

Descripción completa

Detalles Bibliográficos
Autores principales: Mougeot, Jean-Luc C., Beckman, Micaela F., Langdon, Holden C., Brennan, Michael T., Bahrani Mougeot, Farah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767039/
https://www.ncbi.nlm.nih.gov/pubmed/33348567
http://dx.doi.org/10.3390/jcm9124068
_version_ 1783628862856364032
author Mougeot, Jean-Luc C.
Beckman, Micaela F.
Langdon, Holden C.
Brennan, Michael T.
Bahrani Mougeot, Farah
author_facet Mougeot, Jean-Luc C.
Beckman, Micaela F.
Langdon, Holden C.
Brennan, Michael T.
Bahrani Mougeot, Farah
author_sort Mougeot, Jean-Luc C.
collection PubMed
description The endogenous microbiome of healthy individuals in oral cavities is diverse, representing over 700 bacterial species. Imbalance in oral and gut microbiome composition and associated gene expression has been linked to different forms of hematological (blood) cancers. Our objective is to compare oral microbiome profiles of patients with blood cancers (BC group: N = 39 patients, n = 124 oral samples) to those of healthy control subjects (HC group: N = 27 subjects, n = 100 oral samples). Saliva samples and swabs of buccal mucosa, supragingival plaque, and tongue were collected from blood cancer patients and healthy controls. Next-generation sequencing (16S-rRNA gene V3–V4 region) was used to determine the relative abundance of bacterial taxa present at the genus and species levels. Differences in oral microbiome beta-diversity were determined using multivariate permutational analysis of variance (PERMANOVA). Linear discriminant analysis (LDA) effect size (LEfSe) analysis was performed to identify differentiating bacterial taxa in pairwise comparisons. The PATRIC(v3.6.7) online tool was used to determine the predominance of potential pathogenicity in the BC group. The oral microbiome beta-diversities of the BC and HC groups differed and corresponded to a reduced alpha-diversity in the BC group. LEfSe analysis showed significant LDA scores for Actinomyces and Rothia spp., differentiating the BC group from the HC group. In silico analysis using PATRIC(v3.6.7) demonstrated that the groups of bacteria possessing traits of “antibiotic resistance”, “oral pathogen”, and “virulence” was enriched in the BC group. Although 56% of the BC patients received antibiotics within two weeks of the oral bacterial sampling, Actinomyces genus remained the top differentiating feature in the BC group regardless of the administration of antibiotics, while Rothia dentocariosa was detected as the top differentiating feature in the BC patients who did not receive antibiotics, but not in those who received antibiotics. Further investigation is needed to better understand the interactions of certain oral species with the host immune system to better characterize clinically relevant associations with hematological cancers.
format Online
Article
Text
id pubmed-7767039
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-77670392020-12-28 Oral Microbiome Signatures in Hematological Cancers Reveal Predominance of Actinomyces and Rothia Species Mougeot, Jean-Luc C. Beckman, Micaela F. Langdon, Holden C. Brennan, Michael T. Bahrani Mougeot, Farah J Clin Med Article The endogenous microbiome of healthy individuals in oral cavities is diverse, representing over 700 bacterial species. Imbalance in oral and gut microbiome composition and associated gene expression has been linked to different forms of hematological (blood) cancers. Our objective is to compare oral microbiome profiles of patients with blood cancers (BC group: N = 39 patients, n = 124 oral samples) to those of healthy control subjects (HC group: N = 27 subjects, n = 100 oral samples). Saliva samples and swabs of buccal mucosa, supragingival plaque, and tongue were collected from blood cancer patients and healthy controls. Next-generation sequencing (16S-rRNA gene V3–V4 region) was used to determine the relative abundance of bacterial taxa present at the genus and species levels. Differences in oral microbiome beta-diversity were determined using multivariate permutational analysis of variance (PERMANOVA). Linear discriminant analysis (LDA) effect size (LEfSe) analysis was performed to identify differentiating bacterial taxa in pairwise comparisons. The PATRIC(v3.6.7) online tool was used to determine the predominance of potential pathogenicity in the BC group. The oral microbiome beta-diversities of the BC and HC groups differed and corresponded to a reduced alpha-diversity in the BC group. LEfSe analysis showed significant LDA scores for Actinomyces and Rothia spp., differentiating the BC group from the HC group. In silico analysis using PATRIC(v3.6.7) demonstrated that the groups of bacteria possessing traits of “antibiotic resistance”, “oral pathogen”, and “virulence” was enriched in the BC group. Although 56% of the BC patients received antibiotics within two weeks of the oral bacterial sampling, Actinomyces genus remained the top differentiating feature in the BC group regardless of the administration of antibiotics, while Rothia dentocariosa was detected as the top differentiating feature in the BC patients who did not receive antibiotics, but not in those who received antibiotics. Further investigation is needed to better understand the interactions of certain oral species with the host immune system to better characterize clinically relevant associations with hematological cancers. MDPI 2020-12-17 /pmc/articles/PMC7767039/ /pubmed/33348567 http://dx.doi.org/10.3390/jcm9124068 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mougeot, Jean-Luc C.
Beckman, Micaela F.
Langdon, Holden C.
Brennan, Michael T.
Bahrani Mougeot, Farah
Oral Microbiome Signatures in Hematological Cancers Reveal Predominance of Actinomyces and Rothia Species
title Oral Microbiome Signatures in Hematological Cancers Reveal Predominance of Actinomyces and Rothia Species
title_full Oral Microbiome Signatures in Hematological Cancers Reveal Predominance of Actinomyces and Rothia Species
title_fullStr Oral Microbiome Signatures in Hematological Cancers Reveal Predominance of Actinomyces and Rothia Species
title_full_unstemmed Oral Microbiome Signatures in Hematological Cancers Reveal Predominance of Actinomyces and Rothia Species
title_short Oral Microbiome Signatures in Hematological Cancers Reveal Predominance of Actinomyces and Rothia Species
title_sort oral microbiome signatures in hematological cancers reveal predominance of actinomyces and rothia species
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767039/
https://www.ncbi.nlm.nih.gov/pubmed/33348567
http://dx.doi.org/10.3390/jcm9124068
work_keys_str_mv AT mougeotjeanlucc oralmicrobiomesignaturesinhematologicalcancersrevealpredominanceofactinomycesandrothiaspecies
AT beckmanmicaelaf oralmicrobiomesignaturesinhematologicalcancersrevealpredominanceofactinomycesandrothiaspecies
AT langdonholdenc oralmicrobiomesignaturesinhematologicalcancersrevealpredominanceofactinomycesandrothiaspecies
AT brennanmichaelt oralmicrobiomesignaturesinhematologicalcancersrevealpredominanceofactinomycesandrothiaspecies
AT bahranimougeotfarah oralmicrobiomesignaturesinhematologicalcancersrevealpredominanceofactinomycesandrothiaspecies