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Oral Biofilm Sampling for Microbiome Analysis in Healthy Children
Published on: December 31, 2017
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Orthodontic bonding procedures significantly influence biofilm composition
Da-Mi Jeon1, Jung-Sub An2, Bum-Soon Lim3
1Department of Orthodontics, School of Dentistry, Seoul National University, 101 Deahak-ro, Jongro-Gu, Seoul, 03080, Republic of Korea.
Progress in Orthodontics
|June 2, 2020
Summary
Orthodontic bonding alters enamel surface properties, influencing the adhesion and composition of oral bacteria like Streptococcus mutans and Porphyromonas gingivalis in multi-species biofilms. Rougher, more wettable surfaces showed increased bacterial adhesion.
Area of Science:
- Oral microbiology and dental materials science.
- Investigating the impact of dental procedures on oral biofilm dynamics.
Background:
- Orthodontic bonding alters tooth surface properties, potentially affecting oral biofilm formation.
- Previous studies often used simplified models, not reflecting the complex oral environment.
Purpose of the Study:
- To assess the impact of orthodontic bonding procedures on multi-species biofilm formation and composition.
- To analyze the adhesion of Streptococcus mutans and Porphyromonas gingivalis under dynamic conditions.
Main Methods:
- Four bovine incisor surfaces were prepared: untreated (BI), acid-etched (ET), primed (PR), and adhesive (AD).
- Surface roughness (SR) and wettability (SW) were measured.
- Multi-species biofilms were cultured dynamically, and bacterial adhesion was quantified using qPCR at days 1 and 4.
Main Results:
- Etched (ET) and untreated (BI) surfaces were rougher and more wettable than primed (PR) and adhesive (AD) surfaces.
- Streptococcus mutans and Porphyromonas gingivalis adhered more to rougher, wettable surfaces.
- Total bacteria and S. mutans adhesion increased over time; P. gingivalis decreased.
- Bacterial adhesion correlated positively with surface roughness and wettability.
Conclusions:
- Orthodontic bonding-induced changes in surface roughness and wettability significantly influence biofilm formation and the composition of S. mutans and P. gingivalis.
- Dynamic multi-species models are crucial for understanding intraoral biofilm behavior.
