Acquisition and establishment of the oral microbiota occur in a dynamic process over various stages and involve close and continuous interactions with the host and its environment. In the present ...review, we discuss the stages of this process in chronological order. We start with the prenatal period and address the following questions: ‘Is the fetus exposed to maternal microbiota during pregnancy?’ and ‘If so, what is the potential role of this exposure?’ We comment on recent reports of finding bacterial DNA in placenta during pregnancies, and provide current views on the potential functions of prenatal microbial encounters. Next, we discuss the physiological adaptations that take place in the newborn during the birth process and the effect of this phase of life on the acquisition of the oral microbiota. Is it really just exposure to maternal vaginal microbes that results in the difference between vaginally and Cesarian section‐born infants? Then, we review the postnatal phase, in which we focus on transmission of microbes, the intraoral niche specificity, the effects of the host behavior and environment, as well as the role of genetic background of the host on shaping the oral microbial ecosystem. We discuss the changes in oral microbiota during the transition from deciduous to permanent dentition and during puberty. We also address the finite knowledge on colonization of the oral cavity by microbes other than the bacterial component. Finally, we identify the main outstanding questions that limit our understanding of the acquisition and establishment of a healthy microbiome at an individual level.
•QLF technology could be used to motivate students to improve their oral health and enlarge the learning effects.•Oral health education including the use of QLF technology is effective in improving ...the oral health knowledge and oral hygiene status of adolescents.•QLF technology in a oral health education program was useful for improving the oral hygiene status and oral health literacy.
The aim of this study was to determine whether an oral health education program using a Qscan device based on quantitative light-induced fluorescence (QLF) technology could improve the oral hygiene status and oral health literacy of adolescents.
One hundred adolescents aged 14–16 years attending a school in Tashkent city were included in this study. The participants were assigned to the following two groups using permuted block randomization technique: (i) control group (traditional learning) and (ii) experimental group (Qscan device-based learning). The participants included in the experimental group received additional education and training on dental plaque removal using the Qscan device. The accumulated levels of plaque were assessed in all participants, who also completed questionnaires about their oral health status, oral health knowledge, attitude, and behavior during an 8-week period.
There were statistically significant improvements in the experimental group compared to the control group in the plaque index (0.46 vs 0.07, p < .05), oral health knowledge (19.4 vs 28.8, p < .05), attitude (16.7 vs 20.2, p < .05), and behavior (19.9 vs 30.5, p < .05).
This study has demonstrated that an oral health education program based on the use of QLF technology could be useful for improving the oral hygiene status and oral health literacy of adolescents in Uzbekistan.
•Fluorescent plaque index for plaque detection and level scoring was analyzed.•It can detect and distinguish plaque without use of disclosing agents.•It can help clinicians provide evidence of ...periodontal disease to patients.•It can be used as a screening method for periodontal diseases and for large-scale examinations.
The aims of this study were to evaluate the clinical applicability of a new fluorescent plaque index scoring (FPI) with the Turesky modified Quigley-Hein plaque index (mQH) and to evaluate its relationship with plaque maturity.
In total 69 subjects participated in this study. White-light and fluorescent images of anterior teeth were acquired using a Qraycam (AIOBIO, Seoul, Korea). FPI was obtained from fluorescent images using the proprietary software (Q-Ray v.1.39, Inspektor Research System BV, Amsterdam, The Netherlands). Teeth were stained with a two-tone disclosing agent. mQH was used to manually score the combined red and blue disclosed plaque (Combi-mQH) and blue disclosed plaque (Blue-mQH) with the white-light images. Linear relationships between FPI and Combi-mQH (or Blue-mQH) were evaluated by using simple linear regression analysis. Differences of Combi-mQH (or Blue-mQH) with respect to FPI scores were statistically evaluated by using ANOVA with Duncan post hoc correction.
FPI showed a moderate positive correlation with Combi-mQH (r = 0.66, P < 0.001) and a high positive correlation with Blue-mQH (r = 0.78, P < 0.001). The model explanatory power (R2) between FPI and Blue-mQH was 60.8 %, which is 16.8 % higher than the explanatory power observed with Combi-mQH (44.0 %). Both Combi-mQH and Blue-mQH increased significantly with increasing FPI score (P < 0.001).
In this study we found that the FPI scoring system can be used to detect plaque and quantitatively distinguish plaque levels. In addition, FPI was determined to be useful in clinic because of its ability to detect and distinguish old and mature plaque.
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