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Fasting Mimicking Diet and Beige/Brown Adipose Tissue in Humans

University of Campinas, Brazil · 2021
ClinicalTrials.gov · Datasets · License: Public Domain · 2021
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naobesity
Obesity today has become one of the main public health concerns. As a consequence, different strategies have arisen to fight weight gain. One of the alternative strategies to increase the success of therapeutic approaches to weight loss is the increase in energy expenditure, through thermogenesis, regulated by the beige/brown adipose tissue (BAT). Studies have shown that beige/BAT has a strong correlation with body weight regulation. It has also been demonstrated that cold exposure activates beige/BAT. Recent studies, mainly in animal models, suggest that beige/BAT can also be activated by specific food and nutrients. Concomitantly, new dietary interventions, to treat obesity, have also been studied. One of these dietary interventions is the Fasting Mimicking Diet (FMD). Since FMD is high in unsaturated fat, and clinical trials have shown that FMD interventions reduced body weight and improved metabolic health, there is a possible association between this diet and the activation of beige/BAT. The aim of this is study is to investigate the effect of Fasting Mimicking Diet on the activation of beige/brown adipose tissue, in humans with overweight. This will be an open clinical trial with the duration of three consecutive months (three cycles of the FMD diet). There will be an FMD and a control group. The following data will be collected before and after the intervention, for each group: dietary intake and physical activity data, evaluation of beige/brown adipose tissue activation (Positron Emission Tomography - PET with fluoride-18-labeled fluorodeoxyglucose (18F-FDG) in combination with computed tomography - PET/CT scan, Thermal Imaging, BAT adipokines and genes related to BAT activity), basal metabolic rates and caloric needs (Indirect Calorimetry), anthropometric measures and body composition (DEXA scan), lipid profile and inflammatory markers. Data will be expressed as mean and standard deviation and the variables will be compared by Student's t-test or ANOVA, for
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