Bioprinting of oral tissue model for the biocompatibility evaluation of denture base 3D resin.

• Grant number: 24/01648-9
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• Start date: June 21, 2024
• End date: June 20, 2025
• Field of knowledge: Health Sciences - Dentistry - Dental Materials
• Principal Investigator: Janaina Habib Jorge
• Grantee: Amanda Costa Ferro
• Supervisor: Matthew B Baker
• Host Institution: Faculdade de Odontologia (FOAr). Universidade Estadual Paulista (UNESP). Campus de Araraquara. Araraquara , SP, Brazil
• Institution abroad: Maastricht University, Maastricht (UM), Netherlands
• Associated to the scholarship: 21/09555-1 - Effect of polishing and immersion in disinfectant solutions on the physical and biological properties of denture base resin for 3D printing., BP.DR

Abstract

The purpose of this in vitro study will be evaluating the biocompatibility of 3D printing resin for denture base by cell monolayer assay and bioprinting of an oral tissue model. For this, a bioprinted tissue will be constructed and validated. Circular samples (14 mm x 1.2 mm) will be designed virtually and printed using two resins in digital light processing (DLP) printer. The samples will be divided into three groups according to the resin type: CD: Cosmos Denture; ND: NextDent Denture 3D+; VW: Vipi Wave (heat-polymerized resin - control group). The biocompatibility assays will be performed by two models: cell fibroblast monolayer assay (n=9) and by bioprinting of fibroblast spheroids cells and constructs (n=9). The eluate released from the samples in contact with the cells will be used to evaluate cell viability using the AlamarBlue® reagent in the monolayer assay, and for printed spheroids and scaffolds, they will be analyzed by biochemical assay. The 3D reconstruction analysis of the spheroids and constructs will be acquired by Confocal microscopy. The results will be tabulated and submitted to the normality test to verify the distribution of the data. Based on the results observed through the normality and homogeneity test, it will be possible to determine the most appropriate statistical method at a significance level of 5%.