Evaluation of Antimicrobial Effect of Air-Polishing Treatments and Their Influence on Human Dental Pulp Stem Cells Seeded on Titanium Disks.
Rosanna Di TincoGiulia BertaniAlessandra PisciottaLaura BertoniJessika BertacchiniBruna ColombariEnrico ConservaElisabetta BlasiUgo ConsoloGianluca CarnevalePublished in: International journal of molecular sciences (2021)
Dental implants are one of the most frequently used treatment options for tooth replacement, and titanium is the metal of choice due to its demonstrated superiority in resisting corrosion, lack of allergic reactions and mechanical strength. Surface roughness of titanium implants favors the osseointegration process; nevertheless, its topography may provide a suitable substrate for bacterial biofilm deposition, causing peri-implantitis and leading to implant failure. Subgingival prophylaxis treatments with cleansing powders aimed to remove the bacterial accumulation are under investigation. Two different air-polishing powders-glycine and tagatose-were assayed for their cleaning and antimicrobial potential against a Pseudomonas biofilm and for their effects on human dental pulp stem cells (hDPSCs), seeded on sandblasted titanium disks. Immunofluorescence analyses were carried out to evaluate cell adhesion, proliferation, stemness and osteogenic differentiation. The results demonstrate that both the powders have a great in vitro cleaning potential in the early period and do not show any negative effects during hDPSCs osteogenic differentiation process, suggesting their suitability for enhancing the biocompatibility of titanium implants. Our data suggest that the evaluated cleansing systems reduce microbial contamination and allow us to propose tagatose as an adequate alternative to the gold standard glycine for the air-polishing prophylaxis treatment.
Keyphrases
- stem cells
- staphylococcus aureus
- endothelial cells
- mesenchymal stem cells
- cell adhesion
- pseudomonas aeruginosa
- bone marrow
- biofilm formation
- induced pluripotent stem cells
- soft tissue
- candida albicans
- cell therapy
- human health
- cystic fibrosis
- big data
- drinking water
- microbial community
- pluripotent stem cells
- machine learning
- deep learning
- cancer stem cells
- replacement therapy