Effect of green tea extract(GTE) in the metabolism and gene expression of osteoblastic cells from bone marroof ovariectomized rats.

• Grant number: 15/06285-2
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: June 01, 2015
• End date: June 30, 2017
• Field of knowledge: Biological Sciences - Morphology - Cytology and Cell Biology
• Principal Investigator: Karina Fittipaldi Bombonato Prado
• Grantee: Denise Weffort
• Host Institution: Faculdade de Odontologia de Ribeirão Preto (FORP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil

Abstract

Osteoporosis is a common disease in the postmenopausal period and it is characterized by fragility and loss of bone mass, facilitating fractures. Several factors like chronic inflammation and estrogen deficiency are capable of promoting loss of bone mass, because of oxidative stress increase or reduced antioxidative capacity. Thus, antioxidants beverages like green tea have been receiving great attention. Green tea extract (GTE) is rich in antioxidants denominated catechins, which are suggested to have anti-inflammatory and antioxidant properties, reducing bone resorption and increasing bone formation. Thus, the aim of this investigation is to perform in vitro assays to evaluate the metabolism of osteoblastic cells from bone marrow of ovariectomized rats in the presence of green tea extract (GTE). There will be used wistar female rats, which will be submitted to ovariectomy and after 60 days sacrificed for removal of the femurs. Cells will be isolated and cultivated in cell flasks with osteogenic medium. After subconfluence, cells will be seeded in cell plates of 24 wells in a concentration of 2 x 104 cells/well (n=5). After the experimental periods, the following parameters will be evaluated: cell proliferation and viability, alkaline phosphatase activity, total protein content, detection and quantification of mineralized nodules, as well as quantitative expression of genes associated to bone metabolism (i.e. ALP, OCN, RANK, RANKL and OPG). Data obtained will be analyzed by statistical softwares for significance of pd0.05, with the goal of finding statistical data which may reveal the beneficial effects of lycopene.