Efficacy of Topical Strategies to Prevent the Onset of Root Caries Lesions, In vitro.
Valenzuela-Ramos, R.; Leon, S.; Giacaman, R. A.
Show abstract
Preventive fluoride-based topical products, such as silver diamine fluoride (SDF) and others with chlorhexidine have been widely used as a strategy for preventing dental caries lesions, at all ages. Whether they are effective against root caries is less clear. AimTo evaluate the efficacy of various dental products in preventing root caries lesions, using a biological model of root caries. MethodologyAn experimental in vitro study was devised using a validated model with biofilms of Streptococcus mutans formed on bovine root dentin slabs. Slabs were divided into 5 experimental groups: (1) 1% chlorhexidine gel, (2) 22,600 ppm fluoride varnish, (3) 5000 ppm fluoride toothpaste, (4) 38% SDF and (5) negative control (0.9% NaCl). After the experimental phases, biofilms were detached from the dentin slabs to assess biomass and the number of viable cells (CFU). Demineralization of dentin slabs was evaluated by laser fluorescence and surface Knoop microhardness loss. ResultsDentin slabs treated with SDF did not significantly differ in surface microhardness loss compared to those treated with 1% chlorhexidine gel (p>0.05). However, both materials showed significantly lower surface demineralization than the rest of the groups. SDF had a higher impact on the properties of Streptococcus mutans biofilms. ConclusionSDF seems more effective than other materials in preventing root caries lesions in a highly cariogenic environment.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Oral Microbiota Interactions with Titanium Implants: A pilot in-vivo and in-vitro study on the impact of Peri-implantitis 97%
- Highly Efficient Antibiofilm and Antifungal Activity of Green Propolis against Candida species in dentistry material 94%
- Burnout: A Predictor Of Oral Health Impact Profile Among Nigerian Early Career Doctors 94%
Similar papers in this journal
- Association of Streptococcus mutans harboring bona-fide collagen binding proteins and Candida albicans with early childhood caries recurrence 96%
- Trabeculae microstructure parameters serve as effective predictors for marginal bone loss of dental implant in the mandible 93%
- Detailed Analysis of Surface Infection Barrier on Hands: Relationship with Morbidity to Infection Diseases and Identification of Antimicrobial Components 93%
Similar papers in this journal
- Inter-Kingdom Interactions and Environmental Influences on the Oral Microbiome in Severe Early Childhood Caries 96%
- Exploration of the antimicrobial synergy between selected natural substances on Streptococcus mutans to identify candidates for the control of dental caries 94%
- Altered microRNA Expression Correlates with Reduced TLR2/4-Dependent Periodontal Inflammation and Bone Resorption Induced by Polymicrobial Infection 93%
Similar papers in this journal
- Competition and Caries on Enamel of a Dual-species Biofilm Model of Streptococcus mutans and Streptococcus sanguinis. 96%
- Unraveling novel insights into dual-species cariogenic biofilm formation: a comparative analysis on natural vs artificial bioengineered dentin models 94%
- Investigating the Association Between Nitrate Dosing and Nitrite Generation by the Human Oral Microbiota in Continuous Culture 93%
Similar papers in this journal
- Osteoconductive material of a newly developed resin modified glass ionomer cement containing bioactive glasses for biomedical purposes 94%
- Analysis of serum trace elements, macro-minerals, antioxidants, malondialdehyde and immunoglobulins in seborrheic dermatitis patients: A case-control investigation 90%
- Genoprotective effects of Chaga mushroom (Inonotus obliquus) polysaccharides in UVB-exposed embryonic zebrafish (Danio rerio) through coordinated expression of DNA repair genes 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.