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Serum copper and zinc concentrations in extreme obese patients

Grant number: 19/15660-2
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): September 01, 2019
Effective date (End): August 31, 2020
Field of knowledge:Health Sciences - Nutrition - Nutritional Analysis of Population
Principal Investigator:Vivian Marques Miguel Suen
Grantee:Alexandra Palma
Home Institution: Faculdade de Medicina de Ribeirão Preto (FMRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil

Abstract

Obesity is a chronic disease that is proven to be associated with several comorbidities. More than 650 million adults across the globe are obese. Zinc is involved in antioxidant and anorexigenic mechanisms and is generally found in low concentrations in obese subjects. Copper has an antagonistic effect on zinc, its excess causes an increased risk of cardiovascular diseases and has been positively related to obesity. The goal is to evaluate its blood concentrations in patients with grade III and extreme obesity. In 2019, Fourty patients of both sexes from the Obesity and Dyslipidemia outpatient clinic will be included, through the Electronic Record: sex, age, weight in the consultation, height, body mass index, waist circumference, smoking, alcohol consumption, comorbidities, hemoglobin, hematocrit, mean corpuscular volume, amplitude of distribution of red blood cells, lymphocytes, total iron cholesterol binding capacity total cholesterol, triglycerides, high density lipoproteins, low density lipoproteins, glycemia, B12, B9, serum iron and ferritin will be collected. Exclusion criteria: malabsorption, use of supplements and medicinal products that influence the absorption of zinc and / or copper. The distribution of the data will be evaluated by means of the Kolmogorov-Smirnov test. Variables with normal distribution will be evaluated by calculating of mean and standard deviation and, for those without normal distribution, will be calculated the median. Correlations will be performed by the Pearson test if the distribution is normal and by the Spearman test if the distribution is not normal. Level of significance: p <0.05.