Analysis of the composition of extracellular polymeric substances of Candida albicans in 3D printed resins used as a base for removable prostheses.

• Grant number: 24/19251-8
• Support Opportunities: Scholarships abroad - Research Internship - Scientific Initiation
• Start date: February 01, 2025
• End date: March 19, 2025
• Field of knowledge: Health Sciences - Dentistry - Dental Materials
• Principal Investigator: Ana Paula Macedo
• Grantee: Pedro Guilherme Lemos Corrêa
• Supervisor: Wanessa de Cassia Martins Antunes de Melo
• Host Institution: Faculdade de Odontologia de Ribeirão Preto (FORP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil
• Institution abroad: Center For Physical Sciences And Technology, Lithuania
• Associated to the scholarship: 24/07622-1 - Effects of cleansing on the physical-mechanical properties of different 3D printing resins for prosthesis bases., BP.IC

Abstract

Despite the worldwide decrease in total edentulism, it remains a significant challenge , especially among underprivileged elderly individuals.Thus, complete dentures are still the main treatment choice for this condition.Despite the advancement of Digital Dentistry, polymethyl methacrylate (PMMA) remains, for now, the primary material used in the manufacture of these rehabilitative devices. Therefore, the literature points to the need for further studies on the quantity and quality of biofilm adhesion on 3D printing resins, especially regarding extracellular polymeric substances (EPS). Therefore, the present project aims to evaluate biofilm formation on three printed resins (Bio Denture - Prizma®; Denture Base Cosmos - Yller®; Smart Print Bio Denture - Smart Dent®) and compare it to biofilm formation on PMMA.For this, 27 circular specimens (Ø20 mm x 3 mm) of Heat Polymerized Resin and 81 circular specimes (Ø20 mm x 3 mm) will be used for for the Extraction and Quantification of Extracellular Polymeric Substances (EPS) from the formed biofilms; and for the Extraction and Quantification of Extracellular DNA (eDNA) from Biofilm EPS. An appropriate statistical model will be used to analyze each of the results obtained, following the exploratory data analysis.