Background: A single nucleotide polymorphism (SNP) in the fat mass and obesity-associated (FTO) gene is a strong predictor of obesity in humans. The FTO SNP (rs1421085) results in a T to C nucleotide substitution that may result in an increased risk for obesity in individuals who carry at least one C allele. The purpose of this investigation was to characterize the FTO genotype in a cohort of exercise-trained men and women.
Methods: We tested 108 exercise-trained individuals that included professional mixed martial arts fighters, competitive distance runners, collegiate swimmers, stand-up paddlers as well as a cohort of recreational bodybuilders. Body composition was assessed via dual-energy x-ray absorptiometry (DXA). Saliva samples were collected in order to genotype participants and quantify cortisol levels.
Results: The physical characteristics of the subjects were as follows (mean±SD): body weight 74.5±15.6 kg; height 171.5±9.5 cm; bone mineral content 2.8±0.7 kg; fat mass 15.7±5.5 kg; lean body mass 55.9±14.4 kg; % body fat 21.6±7.0. Independent samples t tests showed that C allele carriers (n = 54) had significantly higher fat mass t(106) = 3.13, p < 0.01 and body fat percentage t(106) = 2.68, p < 0.01, relative to the TT group (n = 54) (i.e., fat mass: C/- 17.3 ±5.6 kg, TT 14.2±4.6 kg; body fat percentage: C/- group 23.4±7.4%, TT group 19.9±6.2). No other measures of body composition were associated with the FTO genotype (i.e., body mineral density, bone mineral content, or lean body mass). Moreover, cortisol levels were significantly higher in the TT group relative to the C allele carriers t(106) = 2.37, p = 0.02 (i.e., TT 0.35 ±0.35 μg/dL, C/- 0.22±0.16 μg/dL).
Conclusions: Our findings demonstrate a relationship between C allele carriers on the FTO gene and a predisposition to a higher fat mass and body fat percentage. In addition, we found no relationship between cortisol and fat mass. However, due to the cross-sectional nature of this investigation, we cannot infer causality regarding the FTO gene and body composition.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6102834 | PMC |
http://dx.doi.org/10.1186/s12970-018-0246-7 | DOI Listing |
Nutrients
December 2024
Departamento de Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, CDMX, México 14080, Mexico.
Background/objective: In recent studies, it has been shown that dietary bioactive compounds can produce health benefits; however, it is not known whether an improvement in solubility can enhance their biological effects. Thus, the aim of this work was to study whether co-amorphous (CoA) naringenin or fisetin with enhanced solubility modify glucose and lipid metabolism, thermogenic capacity and gut microbiota in mice fed a high-fat, high-sucrose (HFSD) diet.
Methods: Mice were fed with an HFSD with or without CoA-naringenin or CoA-fisetin for 3 months.
Nutrients
December 2024
Department of Food & Nutrition & Research Institute of Obesity Sciences, Sungshin Women's University, Dobongro-76gagil-55, Kangbuk-ku, Seoul 01133, Republic of Korea.
Unlabelled: This study investigated how the gene variation related to RMR alteration affects risk factors of obese environments in children with obesity aged 8-9.
Methods: Over a three-year follow-up period, 63.3% of original students participated.
Nutrients
December 2024
Exerkine Corporation, McMaster University Medical Center, Hamilton, ON L8N 3Z5, Canada.
Background: Anabolic resistance accelerates muscle loss in aging and obesity, thus predisposing to sarcopenic obesity.
Methods: In this retrospective analysis of a randomized clinical trial, we examined baseline predictors of the adaptive response to three months of home-based resistance exercise, daily physical activity, and protein-based, multi-ingredient supplementation (MIS) in a cohort of free-living, older males ( = 32).
Results: Multiple linear regression analyses revealed that obesity and a Global Risk Index for metabolic syndrome (MetS) were the strongest predictors of Δ% gains in lean mass (TLM and ASM), LM/body fat ratios (TLM/%BF, ASM/FM, and ASM/%BF), and allometric LM (ASMI, TLM/BW, TLM/BMI, ASM/BW), with moderately strong, negative correlations to the adaptive response to polytherapy r = -0.
Nutrients
December 2024
Centre for Food Safety, Croatian Agency for Agriculture and Food, Ivana Gundulića 36b, 31000 Osijek, Croatia.
Background: Nutritional status in childhood is associated with a number of short- and long-term health effects. The rising prevalence of childhood obesity highlights the necessity of understanding dietary patterns in children. The study provides an assessment of energy and macronutrient intake and food categories' contribution to energy intake in Croatian primary school children, according to BMI status.
View Article and Find Full Text PDFNutrients
December 2024
Laboratório de Nutrição e Metabolismo (LANUM), Faculdade de Nutrição, Universidade Federal de Alagoas, Campus AC Simões, Av. Lourival Melo Mota, s/n, Cidade Universitária, Maceió 57072-900, AL, Brazil.
: It is unknown whether the negative health effects associated with ultra-processed foods (UPFs) are due to their nutritional composition or to the extent of food processing itself. We evaluated the impact of a test meal composed only of UPF, according to the NOVA classification, compared to a similar meal without UPF in adults with obesity. : This is a parallel, randomized trial.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!