Comparative analysis of the action of platelet-rich fibrin (FRP) on the inflammatory and repair process associated or not with a non-steroidal anti-inflammatory drug (NSAID) in critical bone defects in rat calvaria

• Grant number: 17/04068-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: October 01, 2017
• End date: September 30, 2018
• Field of knowledge: Health Sciences - Dentistry - Oral and Maxillofacial Surgery
• Principal Investigator: Leonardo Perez Faverani
• Grantee: Thaís Palmeira de Sá Genesini
• Host Institution: Faculdade de Odontologia (FOA). Universidade Estadual Paulista (UNESP). Campus de Araçatuba. Araçatuba , SP, Brazil

Abstract

The aim of this study will be to compare the influence of Rich Fibrin on Platelets (FRP) in the inflammatory process in critical defects in rat capsules and its consequent tissue repair associated or not with a nonsteroidal anti-inflammatory drug (NSAID). 96 rats (Rattus norvegicus, albinus, Wistar), adults, with body weight between 400 and 450g, will be used to carry out this study. The animals will be divided randomly into 4 equitable groups that will compose the work sample, where the clot group (GC) will be performed the critical size defect (5 mm diameter) filled with blood clot; Non-steroidal anti-inflammatory group (NSAID) that will have critical size defects filled with blood clot and given ketoprofen (10mg / kg / day); The platelet-rich fibrin group (FRP) with critical size defects filled with autologous platelet-rich fibrin preparation; And platelet-rich fibrin group plus NSAIDs (CRP + NSAIDs) with critical size defects filled with autologous platelet-rich fibrin preparation and given intramuscularly (10mg / kg / day) ketoprofen for 3 days postoperatively. Each group will be evaluated in periods of 2, 7, 14 and 28 days. The analysis of the results will be through histometry (by counting cells and calculating the area of newly formed bone in the center of the defect). The data will be submitted to the normality test to choose the most appropriate test (parametric or non-parametric), with a significance level of 5%. (AU)