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Updated: Jul 15, 2025

Porphyromonas gingivalis as a Model Organism for Assessing Interaction of Anaerobic Bacteria with Host Cells
Published on: December 17, 2015
Key topographic parameters driving surface adhesion of Porphyromonas gingivalis
Steve Papa1, Mathieu Maalouf2, Pierre Claudel3
1INSERM, SAINBIOSE U1059, Mines Saint-Etienne, Université Jean Monnet Saint-Étienne, 42023, Saint-Étienne, France. steve.papa@univ-st-etienne.fr.
Surface texture significantly impacts bacterial adhesion on dental implants, a key factor in implant failure. Specific parameters like Sku and furrow depth, not just roughness, better predict bacterial interaction for improved implant design.
Area of Science:
- Biomaterials Science
- Surface Engineering
- Microbiology
Background:
- Dental implant failure is often caused by peri-implantitis, linked to bacterial biofilm formation.
- Bacterial adhesion to implant surfaces is critically influenced by surface micro-/nano-topographies.
- Understanding surface texture parameters is crucial for predicting and mitigating bacterial adhesion.
Purpose of the Study:
- To investigate the relationship between femtosecond laser-induced surface topographies on Ti6Al4V and *Porphyromonas gingivalis* adhesion.
- To identify key surface texture parameters that accurately describe bacterial interaction with laser-modified titanium surfaces.
- To explore the potential for designing biofunctional dental implants with tailored surface properties.
Main Methods:
- Mirror polished Ti6Al4V titanium alloy samples were treated with a femtosecond laser (1030 nm) with varied parameters.
- Three-dimensional surface topographies were captured using focal variation microscopy.
- Surface parameters were analyzed using MountainsMap software, and *P. gingivalis* adhesion was quantified in vitro.
Main Results:
- Standard surface roughness parameter (Sa) was insufficient to characterize the complex laser-induced topographies and their effect on bacterial adhesion.
- Specific parameters, including Sku (surface kurtosis), furrow density, and mean furrow depth, showed strong correlations with *P. gingivalis* adhesion.
- These findings highlight the inadequacy of traditional roughness measures for predicting bacterial interaction on advanced surface textures.
Conclusions:
- Femtosecond laser texturing offers a method to engineer titanium surfaces with controlled topography for influencing bacterial adhesion.
- Advanced surface parameters beyond simple roughness are essential for accurately predicting bacterial interaction with implant materials.
- This research provides a foundation for developing next-generation dental implants with enhanced biofunctional properties through precise surface design.
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