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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

Dynamic changes in plaque microbiota.(a) Distinction in composition of the plaque microbiota at Baseline and following the treatments. All samples were plotted on the first two principal coordinates of the genus profile. (b) The PC1 value of each subject’s plaque microbiota (β diversity, Jensen–Shannon distance) significantly decreased for Treatment A. (c) The α diversity (Shannon diversity index) decreased significantly at Day 27 for Treatment A. (d) The 12 driver genera are displayed in blue (low abundance) and red (high abundance) in PCoA Plots.
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f1: Dynamic changes in plaque microbiota.(a) Distinction in composition of the plaque microbiota at Baseline and following the treatments. All samples were plotted on the first two principal coordinates of the genus profile. (b) The PC1 value of each subject’s plaque microbiota (β diversity, Jensen–Shannon distance) significantly decreased for Treatment A. (c) The α diversity (Shannon diversity index) decreased significantly at Day 27 for Treatment A. (d) The 12 driver genera are displayed in blue (low abundance) and red (high abundance) in PCoA Plots.

Mentions: To identify changes of plaque microbiota structure after product treatments in the study, all 364 microbiota from 91 subjects at four time points were clustered via principal coordinate analysis (PCoA) based on the relative abundance of genus-level taxa (Fig. 1a). Principal coordinate 1 (PC1) explained the largest amount of variation and was strongly associated with improvements in gingival health. The projected coordinate of a given microbiota on the first PC1 appeared to capture the gradient-like heterogeneity and compositional changes in plaque microbiota (Fig. 1b). The plaque microbiota in the brush-plus-rinse group exhibited more profound changes than brush-alone group during the study period inferred via significant changes of PC1 value (Fig. 1b). To identify changes of microbial diversity in the study, Shannon Index was calculated for each sample. A significant decrease in α diversity between Days 11 and 27 was observed only for the brush-plus-rinse group (Fig. 1c). This change was driven in part by lower detection rate of some bacterial taxa after treatments (Fig. 1d).


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)

Dynamic changes in plaque microbiota.(a) Distinction in composition of the plaque microbiota at Baseline and following the treatments. All samples were plotted on the first two principal coordinates of the genus profile. (b) The PC1 value of each subject’s plaque microbiota (β diversity, Jensen–Shannon distance) significantly decreased for Treatment A. (c) The α diversity (Shannon diversity index) decreased significantly at Day 27 for Treatment A. (d) The 12 driver genera are displayed in blue (low abundance) and red (high abundance) in PCoA Plots.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

f1: Dynamic changes in plaque microbiota.(a) Distinction in composition of the plaque microbiota at Baseline and following the treatments. All samples were plotted on the first two principal coordinates of the genus profile. (b) The PC1 value of each subject’s plaque microbiota (β diversity, Jensen–Shannon distance) significantly decreased for Treatment A. (c) The α diversity (Shannon diversity index) decreased significantly at Day 27 for Treatment A. (d) The 12 driver genera are displayed in blue (low abundance) and red (high abundance) in PCoA Plots.
Mentions: To identify changes of plaque microbiota structure after product treatments in the study, all 364 microbiota from 91 subjects at four time points were clustered via principal coordinate analysis (PCoA) based on the relative abundance of genus-level taxa (Fig. 1a). Principal coordinate 1 (PC1) explained the largest amount of variation and was strongly associated with improvements in gingival health. The projected coordinate of a given microbiota on the first PC1 appeared to capture the gradient-like heterogeneity and compositional changes in plaque microbiota (Fig. 1b). The plaque microbiota in the brush-plus-rinse group exhibited more profound changes than brush-alone group during the study period inferred via significant changes of PC1 value (Fig. 1b). To identify changes of microbial diversity in the study, Shannon Index was calculated for each sample. A significant decrease in α diversity between Days 11 and 27 was observed only for the brush-plus-rinse group (Fig. 1c). This change was driven in part by lower detection rate of some bacterial taxa after treatments (Fig. 1d).

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