Publications by authors named "Ariana E Fernandes"

Purpose: To evaluate glycemic variability (GV) using continuous glucose monitoring (CGM) in individuals with and without type 2 diabetes mellitus (T2DM) undergoing Roux-en-Y gastric bypass (RYGB).

Methods: This prospective cohort study compared the CGM data of fourteen patients with T2DM (n = 7) and without T2DM (n = 7) undergoing RYGB. After 6 months, these patients were compared to a non-operative control group (n = 7) matched by BMI, sex, and age to the T2DM group.

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Background: The incidence of myocardial infarction (MI) and sudden cardiac death (SCD) is significantly higher in individuals with Type 2 Diabetes Mellitus (T2DM) than in the general population. Strategies for the prevention of fatal arrhythmias are often insufficient, highlighting the need for additional non-invasive diagnostic tools. The T-wave heterogeneity (TWH) index measures variations in ventricular repolarization and has emerged as a promising predictor for severe ventricular arrhythmias.

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Background: Obesity is believed to be a risk factor for COVID-19 and unfavorable outcomes, although data on this remains to be better elucidated.

Objective: To evaluate the impact of obesity on the endpoints of patients hospitalized due to SARS-CoV-2.

Methods: This retrospective cohort study evaluated patients hospitalized at a tertiary hospital (Hospital das Clínicas da Faculdade de Medicina da USP) from March to December 2020.

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Obesity is a chronic disease resulting from multifactorial causes mainly related to lifestyle (sedentary lifestyle, inadequate eating habits) and to other conditions such as genetic, hereditary, psychological, cultural, and ethnic factors. The weight loss process is slow and complex, and involves lifestyle changes with an emphasis on nutritional therapy, physical activity practice, psychological interventions, and pharmacological or surgical treatment. Because the management of obesity is a long-term process, it is essential that the nutritional treatment contributes to the maintenance of the individual's global health.

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Article Synopsis
  • High consumption of ultra-processed foods (UPF) is linked to a higher risk of obesity and can lead to chronic changes in gut microbiota among women.
  • In a study of 59 women, it was found that UPF accounted for about 31% of their caloric intake, and leptin levels (related to fat storage) were negatively influenced by unprocessed foods and positively influenced by UPF.
  • The study identified specific gut microbiota species correlated with both types of food, suggesting that dietary patterns (UPF vs. unprocessed foods) can significantly impact gut health and obesity-related biomarkers.
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Childhood obesity is a major public health problem. It has a direct impact on the quality of life of children and adolescents, as well as on their future risk of developing chronic diseases. Dietary patterns rich in fats and sugars and lacking dietary fibers, vitamins, and minerals, as well as lack of physical exercise have been associated with the rise of obesity prevalence.

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Background/aims: Taste is recognized as an important predictor of food choices. Thus, polymorphisms in genes encoding taste receptors may explain the variability in food preference and intake. Here, we aimed to determine whether genetic variation in the CD36 gene affects food intake and risk of obesity.

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Polymorphisms near the MC4R gene may be related to an increased risk for obesity, but studies of variations in this gene and its relation to cardiometabolic profiles and food intake are scarce and controversial. The aim of this study is to evaluate the influence of the variants rs12970134 and rs17782313 near the MC4R gene in food intake, binge eating (BE) behavior, anthropometric parameters, body composition, metabolic profile, and cardiometabolic risk factors in obese children and adolescents. This is a cross-sectional study that included obese children and adolescents.

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Objective: To analyze the LEPR gene in obese children and to investigate the associations between molecular findings and anthropometric and metabolic features.

Subjects And Methods: Thirty-two patients were evaluated regarding anthropometric characteristics, blood pressure, heart rate, serum glucose, insulin, leptin levels, and lipid profile. The molecular study consisted of the amplification and automatic sequencing of the coding region of LEPR in order to investigate new mutations.

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