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Microbiota-based Signature of Gingivitis Treatments: A Randomized Study.

Huang S, Li Z, He T, Bo C, Chang J, Li L, He Y, Liu J, Charbonneau D, Li R, Xu J - Sci Rep (2016)

Bottom Line: A comparison of plaque microbiota changes was also performed between these two treatments and a third dataset where 50 subjects received regimen of dental scaling.Only Actinobaculum, TM7 and Leptotrichia were consistently reduced by all the three treatments, whereas the different microbial signatures of the three treatments during gingivitis relieve indicate distinct mechanisms of action.Our study suggests that microbiota based signatures can serve as a valuable approach for understanding and potentially comparing the modes of action for clinical treatments and oral-care products in the future.

View Article: PubMed Central - PubMed

Affiliation: Single-Cell Center and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China.

ABSTRACT
Plaque-induced gingivitis can be alleviated by various treatment regimens. To probe the impacts of various anti-gingivitis treatments on plaque microflora, here a double blinded, randomized controlled trial of 91 adults with moderate gingivitis was designed with two anti-gingivitis regimens: the brush-alone treatment and the brush-plus-rinse treatment. In the later group, more reduction in both Plaque Index (TMQHI) and Gingival Index (mean MGI) at Day 3, Day 11 and Day 27 was evident, and more dramatic changes were found between baseline and other time points for both supragingival plaque microbiota structure and salivary metabonomic profiles. A comparison of plaque microbiota changes was also performed between these two treatments and a third dataset where 50 subjects received regimen of dental scaling. Only Actinobaculum, TM7 and Leptotrichia were consistently reduced by all the three treatments, whereas the different microbial signatures of the three treatments during gingivitis relieve indicate distinct mechanisms of action. Our study suggests that microbiota based signatures can serve as a valuable approach for understanding and potentially comparing the modes of action for clinical treatments and oral-care products in the future.

No MeSH data available.


Related in: MedlinePlus

Metabonomic analysis of saliva samples.(a) OPLS analysis of NMR data revealed the metabolite changes from Baseline to Day 27 for each subject: the brush-plus-rinse and the brush-alone groups are marked in red and blue respectively. (b) Changes of eight typical metabolites along the full duration of study were respectively compared between the two treatment groups. Arbitrary unit for each metabolite was calculated from normalized NMR spectrum. (c) The heatmap indicates correlations between metabolite and plaque microbiota changes. Eight metabolites in saliva were calculated and normalized. Spearman correlation for metabolite changes and oral bacteria was calculated (Baseline to Day 27). The R-value is shown in blue (low) and red (high). Different bacteria and metabolites were clustered by their relative abundance changes after the respective 27-day treatments.
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f2: Metabonomic analysis of saliva samples.(a) OPLS analysis of NMR data revealed the metabolite changes from Baseline to Day 27 for each subject: the brush-plus-rinse and the brush-alone groups are marked in red and blue respectively. (b) Changes of eight typical metabolites along the full duration of study were respectively compared between the two treatment groups. Arbitrary unit for each metabolite was calculated from normalized NMR spectrum. (c) The heatmap indicates correlations between metabolite and plaque microbiota changes. Eight metabolites in saliva were calculated and normalized. Spearman correlation for metabolite changes and oral bacteria was calculated (Baseline to Day 27). The R-value is shown in blue (low) and red (high). Different bacteria and metabolites were clustered by their relative abundance changes after the respective 27-day treatments.

Mentions: Saliva has been extensively examined in attempts to assess the oral disease status17. In this study, metabonomic analysis revealed significant difference in metabolite profiles between the brush-plus-rinse group and the brush-alone group at Day 27 (Fig. 2a). The prominent metabolites in saliva were compared across the study. For both brush-plus-rinse group and brush-alone group, abundance of butyrate was decreased, while hydroxybutyrate and lactate were increased from Day 0–Day 27. For the brush-plus-rinse group, the abundance of propionate, formate, and succinate decreased in comparison to the brush-alone group, while alanine and glycine increased (Fig. 2b). The metabolite changes in saliva were also correlated with the changes of microbial composition and quality in plaque (Fig. 2c). For example, propionate was positively correlated with Tanneralla, which was significantly reduced in plaque microbiota during the product treatments (Figs 1d and 2c). Propionate is a virulence factor produced by T. forsythia for immunoevasion and immunosuppression1819. Alanine and glycine were used for oral bacterial cell wall-peptidoglycan synthesis2021. Increased level of alanine and glycine may result from reduced total oral bacterial load and decreased cell wall synthesis activity from chemostatic effects of product treatments.


Microbiota-based Signature of Gingivitis Treatments: A Randomized Study.

Huang S, Li Z, He T, Bo C, Chang J, Li L, He Y, Liu J, Charbonneau D, Li R, Xu J - Sci Rep (2016)

Metabonomic analysis of saliva samples.(a) OPLS analysis of NMR data revealed the metabolite changes from Baseline to Day 27 for each subject: the brush-plus-rinse and the brush-alone groups are marked in red and blue respectively. (b) Changes of eight typical metabolites along the full duration of study were respectively compared between the two treatment groups. Arbitrary unit for each metabolite was calculated from normalized NMR spectrum. (c) The heatmap indicates correlations between metabolite and plaque microbiota changes. Eight metabolites in saliva were calculated and normalized. Spearman correlation for metabolite changes and oral bacteria was calculated (Baseline to Day 27). The R-value is shown in blue (low) and red (high). Different bacteria and metabolites were clustered by their relative abundance changes after the respective 27-day treatments.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4837389&req=5

f2: Metabonomic analysis of saliva samples.(a) OPLS analysis of NMR data revealed the metabolite changes from Baseline to Day 27 for each subject: the brush-plus-rinse and the brush-alone groups are marked in red and blue respectively. (b) Changes of eight typical metabolites along the full duration of study were respectively compared between the two treatment groups. Arbitrary unit for each metabolite was calculated from normalized NMR spectrum. (c) The heatmap indicates correlations between metabolite and plaque microbiota changes. Eight metabolites in saliva were calculated and normalized. Spearman correlation for metabolite changes and oral bacteria was calculated (Baseline to Day 27). The R-value is shown in blue (low) and red (high). Different bacteria and metabolites were clustered by their relative abundance changes after the respective 27-day treatments.
Mentions: Saliva has been extensively examined in attempts to assess the oral disease status17. In this study, metabonomic analysis revealed significant difference in metabolite profiles between the brush-plus-rinse group and the brush-alone group at Day 27 (Fig. 2a). The prominent metabolites in saliva were compared across the study. For both brush-plus-rinse group and brush-alone group, abundance of butyrate was decreased, while hydroxybutyrate and lactate were increased from Day 0–Day 27. For the brush-plus-rinse group, the abundance of propionate, formate, and succinate decreased in comparison to the brush-alone group, while alanine and glycine increased (Fig. 2b). The metabolite changes in saliva were also correlated with the changes of microbial composition and quality in plaque (Fig. 2c). For example, propionate was positively correlated with Tanneralla, which was significantly reduced in plaque microbiota during the product treatments (Figs 1d and 2c). Propionate is a virulence factor produced by T. forsythia for immunoevasion and immunosuppression1819. Alanine and glycine were used for oral bacterial cell wall-peptidoglycan synthesis2021. Increased level of alanine and glycine may result from reduced total oral bacterial load and decreased cell wall synthesis activity from chemostatic effects of product treatments.

Bottom Line: A comparison of plaque microbiota changes was also performed between these two treatments and a third dataset where 50 subjects received regimen of dental scaling.Only Actinobaculum, TM7 and Leptotrichia were consistently reduced by all the three treatments, whereas the different microbial signatures of the three treatments during gingivitis relieve indicate distinct mechanisms of action.Our study suggests that microbiota based signatures can serve as a valuable approach for understanding and potentially comparing the modes of action for clinical treatments and oral-care products in the future.

View Article: PubMed Central - PubMed

Affiliation: Single-Cell Center and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China.

ABSTRACT
Plaque-induced gingivitis can be alleviated by various treatment regimens. To probe the impacts of various anti-gingivitis treatments on plaque microflora, here a double blinded, randomized controlled trial of 91 adults with moderate gingivitis was designed with two anti-gingivitis regimens: the brush-alone treatment and the brush-plus-rinse treatment. In the later group, more reduction in both Plaque Index (TMQHI) and Gingival Index (mean MGI) at Day 3, Day 11 and Day 27 was evident, and more dramatic changes were found between baseline and other time points for both supragingival plaque microbiota structure and salivary metabonomic profiles. A comparison of plaque microbiota changes was also performed between these two treatments and a third dataset where 50 subjects received regimen of dental scaling. Only Actinobaculum, TM7 and Leptotrichia were consistently reduced by all the three treatments, whereas the different microbial signatures of the three treatments during gingivitis relieve indicate distinct mechanisms of action. Our study suggests that microbiota based signatures can serve as a valuable approach for understanding and potentially comparing the modes of action for clinical treatments and oral-care products in the future.

No MeSH data available.


Related in: MedlinePlus