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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

Microbial signature of different anti-gingivitis treatments and evaluation of the relative microbiota recovery for the two treatment groups.(a) The heat map showed the enrichment of each bacterial genus from the disease state to the health state during the various treatments. During dental scaling, 44 bacterial genera significantly changed, representing the most extensive microbiota change among the three treatments. Therefore, the change pattern of dental scaling is used as a reference to evaluate the other two treatments. In certain cells, “NS” is displayed, which indicates the change (before and after a certain treatment) of those particular genera was “Not Significant”. (b) Use of plaque-microbiota-based model of dental scaling to stratify subjects in the brush-plus-rinse group and the brush-alone group at four consecutive time points. Boxes denote the IQR between the first and third quartiles, and the line within denotes the median; whiskers denote the lowest and highest values within 1.5 times the IQR.
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f3: Microbial signature of different anti-gingivitis treatments and evaluation of the relative microbiota recovery for the two treatment groups.(a) The heat map showed the enrichment of each bacterial genus from the disease state to the health state during the various treatments. During dental scaling, 44 bacterial genera significantly changed, representing the most extensive microbiota change among the three treatments. Therefore, the change pattern of dental scaling is used as a reference to evaluate the other two treatments. In certain cells, “NS” is displayed, which indicates the change (before and after a certain treatment) of those particular genera was “Not Significant”. (b) Use of plaque-microbiota-based model of dental scaling to stratify subjects in the brush-plus-rinse group and the brush-alone group at four consecutive time points. Boxes denote the IQR between the first and third quartiles, and the line within denotes the median; whiskers denote the lowest and highest values within 1.5 times the IQR.

Mentions: Dental scaling is widely considered as the most effective anti-gingivitis treatment. A historical published 16S rDNA pyrosequencing data of dental scaling was used for identifying its specific microbial signature during gingivitis regression8. Totally 44 taxa changed significantly (corrected p < 0.01, Wilcoxon signed rank test; Fig. 3a). By comparing the microbial signatures across the three treatments, we found that only Actinobaculum, TM7 and Leptotrichia significantly decreased during gingivitis regression. Except for Actinomyces, relative abundance changes of 15 taxa after the brush-plus-rinse treatment were in the same direction (increase or decrease) as the dental scaling group (Fig. 3a). For the brush-alone treatment, three oral taxa (Actinobaculum, TM7 and Leptotrichia) were significantly reduced, while only Actinomyces was significantly increased (Fig. 3a). Thus, different anti-gingivitis treatments generate distinct microbial signatures, which may link to clinical symptoms.


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)

Microbial signature of different anti-gingivitis treatments and evaluation of the relative microbiota recovery for the two treatment groups.(a) The heat map showed the enrichment of each bacterial genus from the disease state to the health state during the various treatments. During dental scaling, 44 bacterial genera significantly changed, representing the most extensive microbiota change among the three treatments. Therefore, the change pattern of dental scaling is used as a reference to evaluate the other two treatments. In certain cells, “NS” is displayed, which indicates the change (before and after a certain treatment) of those particular genera was “Not Significant”. (b) Use of plaque-microbiota-based model of dental scaling to stratify subjects in the brush-plus-rinse group and the brush-alone group at four consecutive time points. Boxes denote the IQR between the first and third quartiles, and the line within denotes the median; whiskers denote the lowest and highest values within 1.5 times the IQR.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

f3: Microbial signature of different anti-gingivitis treatments and evaluation of the relative microbiota recovery for the two treatment groups.(a) The heat map showed the enrichment of each bacterial genus from the disease state to the health state during the various treatments. During dental scaling, 44 bacterial genera significantly changed, representing the most extensive microbiota change among the three treatments. Therefore, the change pattern of dental scaling is used as a reference to evaluate the other two treatments. In certain cells, “NS” is displayed, which indicates the change (before and after a certain treatment) of those particular genera was “Not Significant”. (b) Use of plaque-microbiota-based model of dental scaling to stratify subjects in the brush-plus-rinse group and the brush-alone group at four consecutive time points. Boxes denote the IQR between the first and third quartiles, and the line within denotes the median; whiskers denote the lowest and highest values within 1.5 times the IQR.
Mentions: Dental scaling is widely considered as the most effective anti-gingivitis treatment. A historical published 16S rDNA pyrosequencing data of dental scaling was used for identifying its specific microbial signature during gingivitis regression8. Totally 44 taxa changed significantly (corrected p < 0.01, Wilcoxon signed rank test; Fig. 3a). By comparing the microbial signatures across the three treatments, we found that only Actinobaculum, TM7 and Leptotrichia significantly decreased during gingivitis regression. Except for Actinomyces, relative abundance changes of 15 taxa after the brush-plus-rinse treatment were in the same direction (increase or decrease) as the dental scaling group (Fig. 3a). For the brush-alone treatment, three oral taxa (Actinobaculum, TM7 and Leptotrichia) were significantly reduced, while only Actinomyces was significantly increased (Fig. 3a). Thus, different anti-gingivitis treatments generate distinct microbial signatures, which may link to clinical symptoms.

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