Metagenomic and metatranscriptomic analysis of saliva reveals disease-associated microbiota in patients with periodontitis and dental caries

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Metagenomic and metatranscriptomic analysis of saliva reveals disease-associated microbiota in patients with periodontitis and dental caries. / Belstrøm, Daniel; Constancias, Florentin; Liu, Yang; Yang, Liang; Drautz-Moses, Daniela I; Schuster, Stephan C; Kohli, Gurjeet Singh; Jakobsen, Tim Holm; Holmstrup, Palle; Givskov, Michael.

In: npj Biofilms and Microbiomes, Vol. 3, 23, 2017.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Belstrøm, D, Constancias, F, Liu, Y, Yang, L, Drautz-Moses, DI, Schuster, SC, Kohli, GS, Jakobsen, TH, Holmstrup, P & Givskov, M 2017, 'Metagenomic and metatranscriptomic analysis of saliva reveals disease-associated microbiota in patients with periodontitis and dental caries', npj Biofilms and Microbiomes, vol. 3, 23. https://doi.org/10.1038/s41522-017-0031-4

APA

Belstrøm, D., Constancias, F., Liu, Y., Yang, L., Drautz-Moses, D. I., Schuster, S. C., Kohli, G. S., Jakobsen, T. H., Holmstrup, P., & Givskov, M. (2017). Metagenomic and metatranscriptomic analysis of saliva reveals disease-associated microbiota in patients with periodontitis and dental caries. npj Biofilms and Microbiomes, 3, [23]. https://doi.org/10.1038/s41522-017-0031-4

Vancouver

Belstrøm D, Constancias F, Liu Y, Yang L, Drautz-Moses DI, Schuster SC et al. Metagenomic and metatranscriptomic analysis of saliva reveals disease-associated microbiota in patients with periodontitis and dental caries. npj Biofilms and Microbiomes. 2017;3. 23. https://doi.org/10.1038/s41522-017-0031-4

Author

Belstrøm, Daniel ; Constancias, Florentin ; Liu, Yang ; Yang, Liang ; Drautz-Moses, Daniela I ; Schuster, Stephan C ; Kohli, Gurjeet Singh ; Jakobsen, Tim Holm ; Holmstrup, Palle ; Givskov, Michael. / Metagenomic and metatranscriptomic analysis of saliva reveals disease-associated microbiota in patients with periodontitis and dental caries. In: npj Biofilms and Microbiomes. 2017 ; Vol. 3.

Bibtex

@article{18382151e975467c972959792d35b4cf,
title = "Metagenomic and metatranscriptomic analysis of saliva reveals disease-associated microbiota in patients with periodontitis and dental caries",
abstract = "The taxonomic composition of the salivary microbiota has been reported to differentiate between oral health and disease. However, information on bacterial activity and gene expression of the salivary microbiota is limited. The purpose of this study was to perform metagenomic and metatranscriptomic characterization of the salivary microbiota and test the hypothesis that salivary microbial presence and activity could be an indicator of the oral health status. Stimulated saliva samples were collected from 30 individuals (periodontitis: n = 10, dental caries: n = 10, oral health: n = 10). Salivary microbiota was characterized using metagenomics and metatranscriptomics in order to compare community composition and the gene expression between the three groups. Streptococcus was the predominant bacterial genus constituting approx. 25 and 50% of all DNA and RNA reads, respectively. A significant disease-associated higher relative abundance of traditional periodontal pathogens such as Porphyromonas gingivalis and Filifactor alocis and salivary microbial activity of F. alocis was associated with periodontitis. Significantly higher relative abundance of caries-associated bacteria such as Streptococcus mutans and Lactobacillus fermentum was identified in saliva from patients with dental caries. Multiple genes involved in carbohydrate metabolism were significantly more expressed in healthy controls compared to periodontitis patients. Using metagenomics and metatranscriptomics we show that relative abundance of specific oral bacterial species and bacterial gene expression in saliva associates with periodontitis and dental caries. Further longitudinal studies are warranted to evaluate if screening of salivary microbial activity of specific oral bacterial species and metabolic gene expression can identify periodontitis and dental caries at preclinical stages.",
author = "Daniel Belstr{\o}m and Florentin Constancias and Yang Liu and Liang Yang and Drautz-Moses, {Daniela I} and Schuster, {Stephan C} and Kohli, {Gurjeet Singh} and Jakobsen, {Tim Holm} and Palle Holmstrup and Michael Givskov",
year = "2017",
doi = "10.1038/s41522-017-0031-4",
language = "English",
volume = "3",
journal = "n p j Biofilms and Microbomes",
issn = "2055-5008",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - Metagenomic and metatranscriptomic analysis of saliva reveals disease-associated microbiota in patients with periodontitis and dental caries

AU - Belstrøm, Daniel

AU - Constancias, Florentin

AU - Liu, Yang

AU - Yang, Liang

AU - Drautz-Moses, Daniela I

AU - Schuster, Stephan C

AU - Kohli, Gurjeet Singh

AU - Jakobsen, Tim Holm

AU - Holmstrup, Palle

AU - Givskov, Michael

PY - 2017

Y1 - 2017

N2 - The taxonomic composition of the salivary microbiota has been reported to differentiate between oral health and disease. However, information on bacterial activity and gene expression of the salivary microbiota is limited. The purpose of this study was to perform metagenomic and metatranscriptomic characterization of the salivary microbiota and test the hypothesis that salivary microbial presence and activity could be an indicator of the oral health status. Stimulated saliva samples were collected from 30 individuals (periodontitis: n = 10, dental caries: n = 10, oral health: n = 10). Salivary microbiota was characterized using metagenomics and metatranscriptomics in order to compare community composition and the gene expression between the three groups. Streptococcus was the predominant bacterial genus constituting approx. 25 and 50% of all DNA and RNA reads, respectively. A significant disease-associated higher relative abundance of traditional periodontal pathogens such as Porphyromonas gingivalis and Filifactor alocis and salivary microbial activity of F. alocis was associated with periodontitis. Significantly higher relative abundance of caries-associated bacteria such as Streptococcus mutans and Lactobacillus fermentum was identified in saliva from patients with dental caries. Multiple genes involved in carbohydrate metabolism were significantly more expressed in healthy controls compared to periodontitis patients. Using metagenomics and metatranscriptomics we show that relative abundance of specific oral bacterial species and bacterial gene expression in saliva associates with periodontitis and dental caries. Further longitudinal studies are warranted to evaluate if screening of salivary microbial activity of specific oral bacterial species and metabolic gene expression can identify periodontitis and dental caries at preclinical stages.

AB - The taxonomic composition of the salivary microbiota has been reported to differentiate between oral health and disease. However, information on bacterial activity and gene expression of the salivary microbiota is limited. The purpose of this study was to perform metagenomic and metatranscriptomic characterization of the salivary microbiota and test the hypothesis that salivary microbial presence and activity could be an indicator of the oral health status. Stimulated saliva samples were collected from 30 individuals (periodontitis: n = 10, dental caries: n = 10, oral health: n = 10). Salivary microbiota was characterized using metagenomics and metatranscriptomics in order to compare community composition and the gene expression between the three groups. Streptococcus was the predominant bacterial genus constituting approx. 25 and 50% of all DNA and RNA reads, respectively. A significant disease-associated higher relative abundance of traditional periodontal pathogens such as Porphyromonas gingivalis and Filifactor alocis and salivary microbial activity of F. alocis was associated with periodontitis. Significantly higher relative abundance of caries-associated bacteria such as Streptococcus mutans and Lactobacillus fermentum was identified in saliva from patients with dental caries. Multiple genes involved in carbohydrate metabolism were significantly more expressed in healthy controls compared to periodontitis patients. Using metagenomics and metatranscriptomics we show that relative abundance of specific oral bacterial species and bacterial gene expression in saliva associates with periodontitis and dental caries. Further longitudinal studies are warranted to evaluate if screening of salivary microbial activity of specific oral bacterial species and metabolic gene expression can identify periodontitis and dental caries at preclinical stages.

U2 - 10.1038/s41522-017-0031-4

DO - 10.1038/s41522-017-0031-4

M3 - Journal article

C2 - 28979798

VL - 3

JO - n p j Biofilms and Microbomes

JF - n p j Biofilms and Microbomes

SN - 2055-5008

M1 - 23

ER -

ID: 184411708