scholarly journals Periodontitis associates with species-specific gene expression of the oral microbiota

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Daniel Belstrøm ◽  
Florentin Constancias ◽  
Daniela I. Drautz-Moses ◽  
Stephan C. Schuster ◽  
Mark Veleba ◽  
...  

AbstractThe purpose of the present investigation was to characterize species-specific bacterial activity of the oral microbiota in periodontitis. We tested the hypotheses that chronic inflammation, i.e., periodontitis, associates with bacterial gene expression of the oral microbiota. Oral microbial samples were collected from three oral sites—subgingival plaque, tongue, and saliva from patients with periodontitis and healthy controls. Paired metagenomics and metatranscriptomics were used to perform concomitant characterization of taxonomic composition and to determine species-specific bacterial activity as expressed by the ratio of specific messenger RNA reads to their corresponding genomic DNA reads. Here, we show the association of periodontitis with bacterial gene expression of the oral microbiota. While oral site was the main determinant of taxonomic composition as well as bacterial gene expression, periodontitis was significantly associated with a reduction of carbohydrate metabolism of the oral microbiota at three oral sites (subgingival plaque, tongue, and saliva). Data from the present study revealed the association of periodontitis with bacterial gene expression of the oral microbiota. Conditions of periodontitis was associated with bacterial activity of local subgingival plaque, but also on tongue and the salivary microbiota. Collectively, data suggest that periodontitis associates with impaired carbohydrate metabolism of the oral microbiota. Future longitudinal and interventional studies are warranted to evaluate the potential pathogenic role of impaired bacterial carbohydrate metabolism not only in periodontitis but also in other diseases with low-grade inflammation, such as type 2 diabetes mellitus.

2020 ◽  
Author(s):  
Daniel Belstrøm ◽  
Florentin Constancias ◽  
Daniela I Drautz-Moses ◽  
Stephan C Schuster ◽  
Mark Veleba ◽  
...  

Abstract Background: The purpose of the present investigation was to use the oral cavity as an in-vivo model to study the impact of internal and external perturbations on bacterial biofilm communities. We tested the hypotheses that bacterial gene expression of the healthy microbiota reflects habituation to site-specific ecological perturbations, and that the perturbation effect of chronic inflammation, i.e. periodontitis, impacts bacterial gene expression not only locally, but also at other sites of the oral cavity. Oral microbial samples were collected from three oral sites – plaque, tongue and saliva from patients with periodontitis and healthy controls. Paired metagenomics and metatranscriptomics were used to perform concomitant characterization of taxonomic composition and to determine species specific bacterial activity as expressed by the ratio of messenger RNA to the corresponding genomic DNA.Results: Here we show the impact of two perturbations – oral site and periodontitis - on bacterial gene expression of the oral microbiota. The oral site was the main determinant of taxonomic composition as well as bacterial gene expression. However, bacterial activity at the three oral sites (plaque, tongue, and saliva) was significantly impacted by periodontitis, with a reduction of the carbohydrate metabolism.Conclusions: Data from the present study characterize the impact of two perturbations – oral site and periodontitis - on bacterial gene expression of the oral microbiota. The oral site was the main determinant of taxonomic composition as well as bacterial gene expression. However, presence of periodontitis had impact on bacterial activity of both plaque but also on tongue and the salivary microbiota. Collectively, data suggest that periodontitis associates with impaired carbohydrate metabolism of the oral microbiota. Future longitudinal and interventional studies are warranted to evaluate the potential pathogenic role of impaired bacterial carbohydrate metabolism not only in periodontitis, but also in other diseases with low grade inflammation, such as type 2 diabetes mellitus.


2002 ◽  
Vol 56 (1) ◽  
pp. 599-624 ◽  
Author(s):  
Virgil Rhodius ◽  
Tina K. Van Dyk ◽  
Carol Gross ◽  
Robert A. LaRossa

2005 ◽  
Vol 54 (5) ◽  
pp. 497-504 ◽  
Author(s):  
Joseph Richardson ◽  
Justin Corey Craighead ◽  
Sam Linsen Cao ◽  
Martin Handfield

Actinobacillus actinomycetemcomitans is a facultatively intracellular pathogen and the aetiological agent of localized aggressive periodontitis. Screening of the genome of A. actinomycetemcomitans for in vivo-induced antigen determinants previously demonstrated that the proteome of this organism differs in laboratory culture compared with conditions found during active infection. The aim of the present study was to determine whether the bacterial gene expression pattern inferred with in vivo-induced antigen technology (IVIAT) in human infections was consistent with the gene expression pattern occurring upon epithelial cell association. To this end, a real-time PCR method was developed and used to quantify absolute and relative bacterial gene expression of A. actinomycetemcomitans grown extra- and intracellularly in two human epithelial cell lines (HeLa and IHGK). The amount of template used in the assay was normalized using the total count of viable bacteria (c.f.u.) as a reference point and performed in duplicate in at least two independent experiments. Controls for this experiment included 16S rRNA and gapdh. Transcription of all eight ORFs tested increased significantly (P < 0.05) in HeLa and IHGK cells compared with bacteria grown extracellularly. The concurrence of gene expression patterns found in the two models suggests that these epithelial cells are valid in vitro models of infection for the genes tested. IVIAT is an experimental platform that can be used as a validation tool to assess the reliability of animal and other models of infection and is applicable to most pathogens.


Author(s):  
Sofia Startceva ◽  
Vinodh K. Kandavalli ◽  
Ari Visa ◽  
Andre S. Ribeiro

2013 ◽  
Vol 163 (2-3) ◽  
pp. 171-179 ◽  
Author(s):  
Ji Young Jung ◽  
Se Hee Lee ◽  
Hyun Mi Jin ◽  
Yoonsoo Hahn ◽  
Eugene L. Madsen ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document