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Heritability of metabolic phenotypes in a brazilian population

Grant number: 12/05447-0
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
Grantee:Kallyandra Padilha
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

Abstract

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.

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
MALAGRINO, PAMELLA ARAUJO; VENTURINI, GABRIELA; YOGI, PATRICIA SCHNEIDER; DARIOLLI, RAFAEL; PADILHA, KALLYANDRA; KIERS, BIANCA; GOIS, TAMIRIS CARNEIRO; MORAIS CARDOZO, KARINA HELENA; CARVALHO, VALDEMIR MELECHCO; SALGUEIRO, JESSICA SILVA; COSTA GIRARDI, ADRIANA CASTELLO; DE OLIVEIRA TITAN, SILVIA MARIA; KRIEGER, JOSE EDUARDO; PEREIRA, ALEXANDRE COSTA. Proteome analysis of acute kidney injury - Discovery of new predominantly renal candidates for biomarker of kidney disease. JOURNAL OF PROTEOMICS, v. 151, n. SI, p. 66-73, JAN 16 2017. Web of Science Citations: 6.
PADILHA, KALLYANDRA; VENTURINI, GABRIELA; PIRES, THIAGO DE FARIAS; HORIMOTO, ANDREA R. V. R.; MALAGRINO, PAMELLA ARAUJO; GOIS, TAMIRIS CARNEIRO; KIERS, BIANCA; OLIVEIRA, CAMILA MACIEL; ALVIM, RAFAEL DE OLIVEIRA; BLATT, CELSO; KRIEGER, JOSE EDUARDO; PEREIRA, ALEXANDRE COSTA. Serum metabolomics profile of type 2 diabetes mellitus in a Brazilian rural population. METABOLOMICS, v. 12, n. 10 OCT 2016. Web of Science Citations: 2.
MALAGRINO, PAMELLA ARAUJO; VENTURINI, GABRIELA; YOGI, PATRICIA SCHNEIDER; DARIOLLI, RAFAEL; PADILHA, KALLYANDRA; KIERS, BIANCA; GOIS, TAMIRIS CARNEIRO; MOTTA-LEAL-FILHO, JOAQUIM MAURICIO; TAKIMURA, CELSO KIYOCHI; COSTA GIRARDI, ADRIANA CASTELLO; CARNEVALE, FRANCISCO CESAR; CANEVAROLO, RAFAEL; AVANCINI COSTA MALHEIROS, DENISE MARIA; DE MATTOS ZERI, ANA CAROLINA; KRIEGER, JOSE EDUARDO; PEREIRA, ALEXANDRE COSTA. Metabolomic characterization of renal ischemia and reperfusion in a swine model. Life Sciences, v. 156, p. 57-67, JUL 1 2016. Web of Science Citations: 6.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.