Characterization of epigenetic biomarkers of type 2 diabetes mellitus: identificat...
| Grant number: | 14/21447-6 |
| Support type: | Scholarships in Brazil - Post-Doctorate |
| Effective date (Start): | April 01, 2015 |
| Effective date (End): | January 31, 2019 |
| Field of knowledge: | Biological Sciences - Physiology |
| Principal Investigator: | Sandro Massao Hirabara |
| Grantee: | Laureane Nunes Masi |
| Home Institution: | Centro de Ciências Biológicas e da Saúde. Universidade Cruzeiro do Sul (UNICSUL). São Paulo , SP, Brazil |
| Associated scholarship(s): | 17/03707-9 - Metabolic memory for atherosclerosis is mediated by epigenetic modifications in the bone marrow, BE.EP.PD |
Abstract MicroRNAs (miRNAs) are involved in the control of energy metabolism and development of chronic diseases, such as obesity, T2DM, and metabolic syndrome. The identification of miRNAs associated with T2DM development is essential to understand the syndrome etiology and direct futher therapeutic studies. This project aims to characterize the expression profile of circulating exosomal miRNAs in T2DM subjects and identify the origin of these exosomal vesicles. We will evaluate: a) healthy individuals (normal glycemia and insulin sensitivity), b) glucose intolerant and insulin resistant subjects and c) newly diagnosed type 2 diabetic patients. The sample size will be calculated based on the initial results, considering alpha power of 0.05 and alterations of at least twice in expression of the miRNAs. The exosomal miRNAs profile will be evaluated by microarray PCR technique with quantitative validation by real time PCR. The characterization of the exosomal proteins will be established by proteomic analysis using mass spectrometry. The goal of this study will be to investigate the exossomes miRNAs to validate them as biomarkers of T2DM development. The knowledge of the origin of exosomes associated with identification of miRNA-related disease dysregulation will elucidate the involvement of insulin-sensitive organs in T2DM development and optimize the prognosis, diagnosis and therapy tissue-specific target. | |