- Research Grants
|Support type:||Scholarships in Brazil - Master|
|Effective date (Start):||November 01, 2012|
|Effective date (End):||October 31, 2014|
|Field of knowledge:||Health Sciences - Medicine|
|Principal Investigator:||Alexandre da Costa Pereira|
|Home Institution:||Instituto do Coração Professor Euryclides de Jesus Zerbini (INCOR). Hospital das Clínicas da Faculdade de Medicina da USP (HCFMUSP). Secretaria da Saúde (São Paulo - Estado). São Paulo , SP, Brazil|
The metabolomics refers to a systematic analysis of metabolites in biological samples. The level of metabolites can serve as an adjunct in the determination of gene function, defining phenotypes in response to genetic or environmental. In fact, this level demonstrates the interaction of cellular function at the molecular level, and thus defined the phenotype of a cell or tissue in response to genetic or environmental. Currently, metabolomics is being increasingly used in studies for detection of biomarkers in biological fluids, which can help the diagnosis, provide guidelines for treatment and assess response to therapy of specific diseases, providing a greater understanding of disease pathophysiology. Among the most widely used techniques for the analysis is metabolome NMR, which allows identification and quantification of multiple compounds, providing a metabolic state without the use of ionizing radiation in addition to being a non-destructive technique, the that allows the preservation of scarce or rare samples. Thus, this study aims to determine the metabolic profile of the participants and to verify the existence of heritability in the data used encontrados.Serão 1500 serum samples from individuals participating in the Project Hearts Baependi. To determine the metabolic profile will be used NMR technique in collaboration with researchers at the Laboratory of NMR LNBio. Will be used for statistical analysis using SPSS, adopting a significance level of p less than 0.05, and for calculating the frequencies of the relationships between individuals and adjusting the models of variance components phenotypes will be used the program SOLAR 4.1.