Evaluation of a new implant surface covered by nanometric hidroxyapatyte associated to L-PRF: in vivo study in an impaired bone model

• Grant number: 19/04468-3
• Support Opportunities: Regular Research Grants
• Start date: February 01, 2020
• End date: January 31, 2023
• Field of knowledge: Health Sciences - Dentistry - Periodontology
• Principal Investigator: Sérgio Luís Scombatti de Souza
• Grantee: Sérgio Luís Scombatti de Souza
• Host Institution: Faculdade de Odontologia de Ribeirão Preto (FORP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil

Abstract

The use of dental implants has been an extremely relevant tool in oral rehabilitation. However, there are systemic conditions, such as osteoporosis, that may negatively influence the osseointegration process. Modifications in the microtopography and surface of the implants, as well as the use of the Leukocyte Fibrin Rich Plasma (L-PRF), are strategies that have been used to promote a better contact between the bone and the implant. Thus, taking into account the development of new implant surfaces aiming at qualitative and quantitative improvement of the osseointegration phenomenon, and, on the other hand, the scarring of individuals with osteoporosis, which can be used as models of individuals with deficient bone repair, the objective of this project is to perform an in vivo study to evaluate the biological response of a new 4th generation implant surface, modified by the addition of nano-hydroxyapatite, associated or not to L-PRF, through histomorphometric, microtomographic and gene expression analyzes. To do this, mini-implants with nano-hydroxyapatite (n = 48) or double acid attack (n = 48) will be installed in the tibia of osteoporotic rats, associating or not with the L-PRF membrane. The animals will be euthanized at 7 and 30 days. The right tibiae will be removed and fixed for posterior three-dimensional analysis and histological processing. The left tibiae will be removed for evaluation of genetic expression. The results obtained will be expressed as mean ± standard deviation of the groups in each period. Pre-tests will be performed to evaluate the normality of the data. Based on the results, the appropriate statistical tests will be selected to analyze the differences between groups in each period (7 and 30 days), and intra-groups, in relation to the different times. In all analyzes, p <0.05 will be considered. (AU)