| Grant number: | 15/18669-0 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Start date: | February 01, 2017 |
| End date: | June 30, 2020 |
| Field of knowledge: | Health Sciences - Medicine - Medical Clinics |
| Agreement: | Coordination of Improvement of Higher Education Personnel (CAPES) |
| Principal Investigator: | Carla Barbosa Nonino |
| Grantee: | Carolina Nicoletti Ferreira Fino |
| Host Institution: | Faculdade de Medicina de Ribeirão Preto (FMRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil |
| Associated scholarship(s): | 17/07220-7 - Application of bioinformatics tools for analysis of whole-genome DNA methylation profiling before and after bariatric surgery, BE.EP.PD |
Abstract Regardless of the strategy used in the control/treatment of Obesity, the individual response to interventions is highly variable, and the epigenetic variations between individuals explains the variety of physiological responses in the same environment, explaining why some individuals are more likely to win/lose weight than others in the same environmental conditions. The aim of this study is to identify the changes in DNA methylation pattern in blood after surgical treatment for weight loss and the differences between eutrophic and obese individuals. This study will enroll 40 women from a mixed population, aged 18 to 60 years which will be randomized into two groups: Group Bariatric Surgery: composed of 20 patients with severe Obesity (BMI>40kg/m²) and Control group, consisting of 20 normal weigh women (BMI between 18.5 and 24.9 kg/m²). The patients will be submitted to nutritional evaluation, analysis of body composition, food intake analysis, peripheral blood collection for genetic (DNA methylation) and biochemical analysis. After six months all procedures will be performed again in Group Bariatric Surgery. T test, linear regression models and Pearson correlation will be used in statistical analyses. The analysis of methylome will be performed by bioinformatics tools including specific software. It will be admitted level of significance at p<0.05. (AU) | |
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