A Gnotobiotic Study to Distinguish between Heredity and the Oral Microflora as Transmitters of Dental Caries Activity in Laboratory Rats

1980 ◽  
Vol 14 (6) ◽  
pp. 434-440 ◽  
Author(s):  
T.H. Grenby ◽  
D. Owen
Keyword(s):  
Dental Caries ◽  
Caries Activity ◽  
Laboratory Rats ◽  
Oral Microflora

Comparison of Dental Caries Activity in Strains of Laboratory Rats

1962 ◽  
Vol 41 (6) ◽  
pp. 1312-1321 ◽  
Author(s):  
James H. Shaw ◽  
Derrick Griffiths ◽  
David H. Wollman
Keyword(s):  
Dental Caries ◽  
Caries Activity ◽  
Laboratory Rats

Antimicrobial and Antibiofilm Activity of Citral and its Derivative against Microflora from Dental Plaque

2020 ◽  
Vol 5 (2) ◽  
pp. 120-126
Author(s):  
S.V. Ambade ◽  
N.M. Deshpande ◽  
S.S. Kale ◽  
V.N. Ambade
Keyword(s):  
Dental Caries ◽  
Essential Oil ◽  
Dental Plaque ◽  
Biofilm Formation ◽  
Periodontal Diseases ◽  
Bacterial Species ◽  
Antibiofilm Activity ◽  
Oral Microflora ◽  
Lemon Grass ◽  
First Time

Dental biofilms inhabit the oral cavity in form of dental plaque which then causes dental caries and periodontal diseases worldwide. Lemon grass essential oil (LGEO) has been reported to exhibit antimicrobial and antibiofilm activity against. This study represents the potential of citral and derivatives as antimicrobial and antibiofilm agent against dental microflora. Three bacterial species chiefly responsible for biofilm formation, and five prime colonizer of dental plaque were selected to represent dental microflora. Citral and its derivative viz. citral semicarbazone, exhibited antimicrobial and antibiofilm activity against the selected organisms. For the first time, any citral derivative has ever demonstrated to exhibit antimicrobial and antibiofilm activity against the oral microflora. However, study could not established citral or its derivatives as more effective, powerful and better herbal material as compared to LGEO to control the oral microflora associated with dental plaque.

scholarly journals Identification of Microbial and Proteomic Biomarkers in Early Childhood Caries

2011 ◽  
Vol 2011 ◽  
pp. 1-13 ◽  
Author(s):  
Thomas C. Hart ◽  
Patricia M. Corby ◽  
Milos Hauskrecht ◽  
Ok Hee Ryu ◽  
Richard Pelikan ◽  
...  
Keyword(s):  
Dental Caries ◽  
Predictive Models ◽  
Early Childhood Caries ◽  
Caries Experience ◽  
Oral Flora ◽  
Proteomic Data ◽  
Oral Microflora ◽  
Combined Data ◽  
Childhood Caries

The purpose of this study was to provide a univariate and multivariate analysis of genomic microbial data and salivary mass-spectrometry proteomic profiles for dental caries outcomes. In order to determine potential useful biomarkers for dental caries, a multivariate classification analysis was employed to build predictive models capable of classifying microbial and salivary sample profiles with generalization performance. We used high-throughput methodologies including multiplexed microbial arrays and SELDI-TOF-MS profiling to characterize the oral flora and salivary proteome in 204 children aged 1–8 years (n=118caries-free,n=86caries-active). The population received little dental care and was deemed at high risk for childhood caries. Findings of the study indicate that models incorporating both microbial and proteomic data are superior to models of only microbial or salivary data alone. Comparison of results for the combined and independent data suggests that the combination of proteomic and microbial sources is beneficial for the classification accuracy and that combined data lead to improved predictive models for caries-active and caries-free patients. The best predictive model had a 6% test error, >92% sensitivity, and >95% specificity. These findings suggest that further characterization of the oral microflora and the salivary proteome associated with health and caries may provide clinically useful biomarkers to better predict future caries experience.

Sign in / Sign up

Export Citation Format

Share Document