Ultraviolet Light Treatment of Titanium Enhances Attachment, Adhesion, and Retention of Human Oral Epithelial Cells via Decarbonization.
Kourosh NakhaeiManabu IshijimaTakayuki IkedaAmirreza GhassemiJuri SarutaTakahiro OgawaPublished in: Materials (Basel, Switzerland) (2020)
Early establishment of soft-tissue adhesion and seal at the transmucosal and transcutaneous surface of implants is crucial to prevent infection and ensure the long-term stability and function of implants. Herein, we tested the hypothesis that treatment of titanium with ultraviolet (UV) light would enhance its interaction with epithelial cells. X-ray spectroscopy showed that UV treatment significantly reduced the atomic percentage of surface carbon on titanium from 46.1% to 28.6%. Peak fitting analysis revealed that, among the known adventitious carbon contaminants, C-C and C=O groups were significantly reduced after UV treatment, while other groups were increased or unchanged in percentage. UV-treated titanium attracted higher numbers of human epithelial cells than untreated titanium and allowed more rapid cell spread. Hemi-desmosome-related molecules, integrin β4 and laminin-5, were upregulated at the gene and protein levels in the cells on UV-treated surfaces. The result of the detachment test revealed twice as many cells remaining adherent on UV-treated than untreated titanium. The enhanced cellular affinity of UV-treated titanium was equivalent to laminin-5 coating of titanium. These data indicated that UV treatment of titanium enhanced the attachment, adhesion, and retention of human epithelial cells associated with disproportional removal of adventitious carbon contamination, providing a new strategy to improve soft-tissue integration with implant devices.
Keyphrases
- soft tissue
- endothelial cells
- stem cells
- induced apoptosis
- drinking water
- single cell
- computed tomography
- machine learning
- signaling pathway
- oxidative stress
- small molecule
- biofilm formation
- deep learning
- induced pluripotent stem cells
- combination therapy
- mesenchymal stem cells
- endoplasmic reticulum stress
- high resolution
- staphylococcus aureus
- big data
- pluripotent stem cells
- data analysis
- electron microscopy
- health risk