A complex web of causation is involved in adiposity, including environmental, social and genetic factors. We aimed to investigate associations between genetic factors such as ancestry and single nucleotide polymorphisms, and obesity-related traits in a sampled Brazilian population. A sample of 501 unrelated adults participating in 2013 at the longitudinal Pró-Saúde Study (EPS) in Rio de Janeiro, Brazil was selected. We analysed 46 AIM-InDels (insertion/deletion) as genetic ancestry markers and four single nucleotide polymorphisms located in the genes MC4R (rs17782313), FTO (rs9939609), FAIM2 (rs7138803) and BDNF (rs4074134), previously described as associated with obesity. The selected obesity-related markers were anthropometric parameters such as body mass index, waist circumference and waist-to-hip ratio, and body composition measurements namely body fat percentage, android fat mass and gynoid fat mass. The sample showed greater European ancestry (57.20%), followed by African (28.80%) and lastly Amerindian (14%). Our results suggest that the rs4074134 (BDNF) CC genotype was directly associated with gynoid fat mass, whereas body fat percentage, android fat mass and the anthropometric parameters seem not to be associated with neither ancestry nor the four polymorphisms in this population sample, most likely due to a stronger role of social, behavioural and environmental determinants.
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http://dx.doi.org/10.1590/0001-3765202320220052 | DOI Listing |
Sci Rep
January 2025
Innovation Centre of Nursing Research, TaiHe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
The literature has documented conflicting and inconsistent associations between muscle-to-fat ratios and metabolic diseases. Additionally, different adipose tissues can have contrasting effects, with visceral adipose tissue being identified as particularly harmful. This study aimed to explore the relationship between the ratio of the lean mass index (LMI) to the visceral fat mass index (VFMI) and cardiometabolic disorders, including dyslipidemia, hypertension, and diabetes, as previous research on this topic is lacking.
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January 2025
Postgraduate Program in Food and Nutrition at the Federal University of Piauí (PPGAN/UFPI), Teresina, Piauí, Brazil.
Body composition is a determining factor in the physical performance of cyclists, directly influencing efficiency and power during competitions. Understanding these aspects can help optimize training and maximize results. This study aimed to analyze the influence of body composition on physical performance in mountain bike athletes.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
College of Food Science and Engineering, Changchun University, Changchun 130022, China. Electronic address:
This study developed a W/O/W emulsion gel encapsulating proanthocyanidins from Aronia melanocarpa (Michx.) Elliott (APC) using polyglycerol ricinoleate (PGPR) as the lipophilic emulsifier and sodium caseinate (NaCN)-alginate (Alg) as the hydrophilic emulsifier. The optimal preparation process was established based on particle size, zeta potential, phase separation, centrifugal stability, and microscopic morphology: 4.
View Article and Find Full Text PDFClin Nutr ESPEN
January 2025
Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turku, 20520 Turku, Finland; Nutrition and Food Research Center, University of Turku, 20014 Turku, Finland.
Background And Aims: Maternal diet and health may influence a child's later neurodevelopment. We investigated the effect of maternal diet, adiposity, gestational diabetes mellitus (GDM), and depressive/anxiety symptoms during pregnancy on the child's motor outcome at 5-6 years.
Methods: The motor performance of 159 children of women with overweight or obesity (pre-pregnancy body mass index 25-29.
Clin Nutr ESPEN
January 2025
Brigham Young University, Nutrition, Dietetics, and Food Science Department, Provo, Utah 84602. Electronic address:
Background And Aims: Sarcopenia, defined as a muscle mass loss and function, is increasingly recognized in pediatric populations, particularly in childhood obesity. Therefore, it is necessary to have measurements that can distinguish between muscle and fat mass. Methods of body composition such as Dual Energy X-ray Absorptiometry (DEXA) provide accurate assessments of body composition, but they are resource-intensive and impractical for routine monitoring in clinical or community settings.
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