Identification of key markers of normal and pathogenic microbiota determining health of periodontium by NGS-sequencing 16S-rDNA libraries of periodontal swabs

Зорина, О А; Петрухина, Н Б; Basova, A A; Шибаева, А. В.; Трубникова, Е. В.; Шевелев, А. Б.

doi:10.17116/stomat201493625-31

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…In the same way, Corynebacterium appeared to be more associated with healthy subgingival biofilm (32,33). Moreover, Rothia and Corynebacterium were among the bacteria that showed the greatest increases after periodontal treatment (34), while a study suggested that Corynebacterium might be considered a putative periodontal protector (35). Veillonella and Actinomyces have been negatively correlated with clinical markers in CP (36), and Neisseria was found in inactive sites (25).…”

Section: Discussionmentioning

confidence: 93%

Signature of Microbial Dysbiosis in Periodontitis

Meuric

Gall‐David

Boyer

et al. 2017

Appl Environ Microbiol

104

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Periodontitis is driven by disproportionate host inflammatory immune responses induced by an imbalance in the composition of oral bacteria; this instigates microbial dysbiosis, along with failed resolution of the chronic destructive inflammation. The objectives of this study were to identify microbial signatures for health and chronic periodontitis at the genus level and to propose a model of dysbiosis, including the calculation of bacterial ratios. Published sequencing data obtained from several different studies (196 subgingival samples from patients with chronic periodontitis and 422 subgingival samples from healthy subjects) were pooled and subjected to a new microbiota analysis using the same Visualization and Analysis of Microbial Population Structures (VAMPS) pipeline, to identify microbiota specific to health and disease. Microbiota were visualized using CoNet and Cytoscape. Dysbiosis ratios, defined as the percentage of genera associated with disease relative to the percentage of genera associated with health, were calculated to distinguish disease from health. Correlations between the proposed dysbiosis ratio and the periodontal pocket depth were tested with a different set of data obtained from a recent study, to confirm the relevance of the ratio as a potential indicator of dysbiosis. Beta diversity showed significant clustering of periodontitis-associated microbiota, at the genus level, according to the clinical status and independent of the methods used. Specific genera (Veillonella, Neisseria, Rothia, Corynebacterium, and Actinomyces) were highly prevalent (Ͼ95%) in health, while other genera (Eubacterium, Campylobacter, Treponema, and Tannerella) were associated with chronic periodontitis. The calculation of dysbiosis ratios based on the relative abundance of the genera found in health versus periodontitis was tested. Nonperiodontitis samples were significantly identifiable by low ratios, compared to chronic periodontitis samples. When applied to a subgingival sample set with well-defined clinical data, the method showed a strong correlation between the dysbiosis ratio, as well as a simplified ratio (Porphyromonas, Treponema, and Tannerella to Rothia and Corynebacterium), and pocket depth. Microbial analysis of chronic periodontitis can be correlated with the pocket depth through specific signatures for microbial dysbiosis.IMPORTANCE Defining microbiota typical of oral health or chronic periodontitis is difficult. The evaluation of periodontal disease is currently based on probing of the periodontal pocket. However, the status of pockets "on the mend" or sulci at risk of periodontitis cannot be addressed solely through pocket depth measurements or current microbiological tests available for practitioners. Thus, a more specific microbiological measure of dysbiosis could help in future diagnoses of periodontitis. In this work, data from different studies were pooled, to improve the accuracy of the results. However, analysis of multiple species from different studies intensified the bacteri...

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Section: Discussionmentioning

confidence: 93%

Signature of Microbial Dysbiosis in Periodontitis

Meuric

Gall‐David

Boyer

et al. 2017

Appl Environ Microbiol

104

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“…Bergeyella , Lautropia , Rothia , Propionibacterium and Cardiobacterium were more abundant in the healthy participants. Bergeyella was considered as putative periodontal protectors in periodontal swabs from the participants ( Zorina et al., 2014 ). Lautropia mirabilis , Propionibacterium propionicum , Rothia dentocariosa/mucilagenosa and Cardiobacterium hominis were significantly more prevalent in the healthy group than in the periodontitis patients ( Colombo et al., 2009 ; Ikeda et al., 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Oral microbial dysbiosis in patients with periodontitis and chronic obstructive pulmonary disease

Liu

Xie

Chen

et al. 2023

Front. Cell. Infect. Microbiol.

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BackgroundOral microbiota is closely related to the homeostasis of the oral cavity and lungs. To provide potential information for the prediction, screening, and treatment strategies of individuals, this study compared and investigated the bacterial signatures in periodontitis and chronic obstructive pulmonary disease (COPD).Materials and methodsWe collected subgingival plaque and gingival crevicular fluid samples from 112 individuals (31 healthy controls, 24 patients with periodontitis, 28 patients with COPD, and 29 patients with both periodontitis and COPD). The oral microbiota was analyzed using 16S rRNA gene sequencing and diversity and functional prediction analysis were performed.ResultsWe observed higher bacterial richness in individuals with periodontitis in both types of oral samples. Using LEfSe and DESeq2 analyses, we found differentially abundant genera that may be potential biomarkers for each group. Mogibacterium is the predominant genus in COPD. Ten genera, including Desulfovibrio, Filifactor, Fretibacterium, Moraxella, Odoribacter, Pseudoramibacter Pyramidobacter, Scardovia, Shuttleworthia and Treponema were predominant in periodontitis. Bergeyella, Lautropia, Rothia, Propionibacterium and Cardiobacterium were the signature of the healthy controls. The significantly different pathways in the Kyoto Encyclopedia of Genes and Genomes (KEGG) between healthy controls and other groups were concentrated in genetic information processing, translation, replication and repair, and metabolism of cofactors and vitamins.ConclusionsWe found the significant differences in the bacterial community and functional characterization of oral microbiota in periodontitis, COPD and comorbid diseases. Compared to gingival crevicular fluid, subgingival plaque may be more appropriate for reflecting the difference of subgingival microbiota in periodontitis patients with COPD. These results may provide potentials for predicting, screening, and treatment strategies for individuals with periodontitis and COPD.

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Identification of key markers of normal and pathogenic microbiota determining health of periodontium by NGS-sequencing 16S-rDNA libraries of periodontal swabs

Cited by 2 publications

References 25 publications

Signature of Microbial Dysbiosis in Periodontitis

Signature of Microbial Dysbiosis in Periodontitis

Oral microbial dysbiosis in patients with periodontitis and chronic obstructive pulmonary disease

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