Polimorfismo no gene que codifica a perilipina 1 e suas relações com consumo alimentar, composição corporal e glicemia de indivíduos com síndrome do obeso eutrófico

• Autor(a) principal: Silveira, Amanda Gonçalves Zardini
• Data de Publicação: 2016
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFG
• dARK ID: ark:/38995/001300000f9fj
• Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/5760
• topic: Distribuição da gordura corporal; Polimorfismo genético; Consumo alimentar; Body fat distribution; Genetic polymorphism; Food consumption; CIENCIAS DA SAUDE::NUTRICAO

To verify whether the polymorphism 11482G> A (rs894160) in PLIN1 gene has influence on food intake, body composition and glucose and insulin metabolism in individuals with Normal-Weight Obesity Syndrome. Methods: Cross-sectional study conducted at the Faculty of Nutrition of Federal University of Goiás (FANUT / UFG) with 116 individuals aged 20 to 59, with eutrophic body mass index (between 18.50 and 24.99 kg/m²) and high body fat percentage (20% for men and 30% for women) measured by dual-energy X-ray absorptiometry (DEXA). The polymorphism 11482G> A (rs894160) in PLIN1 gene was genotyped using qPCR Taqman® system. Fasting glucose and insulin, as well as glycosylated hemoglobin (HbA1c) were evaluated through classical methodology. QUICKI, HOMA-IR and HOMA-beta indexes were calculated. Food intake was evaluated from three 24 h food records, including a weekend day. The interaction between macronutrients intake and the SNP was determined by regression model and adjusted for potential confounders. Analyzes of mean differences were performed using Student’s t test, Mann Whitney, ANOVA or Kruskal-Wallis. P<0.05 was considered significant. Results: 27.4% (n=32) of the sample were male and the median age (interquartile range) was 22.5 (20-50) years. Regarding the SNP, 56.0% (n = 65) carried two wild alleles, 38.8% (n = 45) were heterozygous and 5.2% (n = 6), carried two variant alleles. We did not verify statistical differences in biochemical and anthropometric biomarkers when subjects were separated according to genotype. Intake of carbohydrates and saturated fat, as well as the saturated fat:carbohydrates ratio were dichotomized into high and low according to the median intake of the sample (241.15 g; 29.71 g and 0.6 g, respectively). Males who carried the variant allele had lower waist circumference only when carbohydrate intake was higher than the median. They also presented lower weight and waist circumference when saturated fat consumption and saturated fat:carbohydrates ratio were low. Conclusion: The polymorphism PLIN1 11482G>A might modulate responses in anthropometric biomarkers in males with Normal-Weight Obesity depending on dietary macronutrient composition.