The BDNF protein is associated with glucose homeostasis and food intake in carriers of common BDNF gene variants.

CONTEXT: The brain-derived neurotrophic factor (BDNF) concentrations may differ between BDNF gene genotype carriers. These changes occur in individuals with metabolic and mental disorders. OBJECTIVE: The aim of this study was to assess the associations of glucose homeostasis parameters and the frequency of food consumption with BDNF protein concentrations based on the BDNF single-nucleotide polymorphisms (SNPs). METHODS: Among the 439 participants, some common rs10835211 BDNF gene variants were analyzed. We evaluated BDNF concentration, fasting glucose and insulin concentrations and during oral glucose tolerance tests. Anthropometric measurements, body composition, and body fat distribution were assessed, and 3-day food intake diary and food frequency questionnaire were completed. RESULTS: We noticed significant differences in concentration of BDNF between AA and AG genotype rs10835211 carriers (p=0.018). The group of AA genotype holders were older, and positive correlation was found between age and BDNF in the whole study population (p=0.012) and in the GG genotype carriers (p=0.023). Moreover, BDNF protein correlated with fasting insulin (p=0.015), HOMA-IR (p=0.031), HOMA-B (p=0.010) , and the VAT/SAT ratio (p=0.026) in the GG genotype individuals. Presence of the GG genotype was negatively correlated with nut and seed (p=0.047), lean pork consumption (p=0.015) and the BDNF protein. Moreover, we observed correlations between the frequency of chicken (p=0.028), pasta (p=0.033) and sweet food intake (p=0.040) and BDNF concentration in the general population. Among carriers of the AA genotype, we observed a positive correlation between the consumption of rice (p=0.048) and sweet food (p=0.028) and the BDNF protein level. CONCLUSION: Peripheral BDNF may be associated with visceral fat content and insulin concentrations in the GG genotype carriers and may depend on variable food intake, which warrants further investigation.

Obesity-related parameters in carriers of some BDNF genetic variants may depend on daily dietary macronutrients intake.

Some common single-nucleotide polymorphisms of the brain-derived neurotrophic factor (BDNF) gene have been associated not only with the neurodegenerative diseases but also with some eating disorders. The aim of this study was to assess the possible differences in the obesity-related and glucose metabolism parameters between some BDNF genotypes', that may depend on the daily energy and macronutrients intake. In 484 adult participants we performed the anthropometric measurements, body composition analysis, and body fat distribution. The daily dietary intake was assessed using the 3-day food intake diaries. Blood glucose and insulin concentrations were measured at fasting and during oral glucose tolerance tests. Moreover, the visceral adipose tissue/subcutaneous adipose tissue (VAT/SAT) ratio and homeostatic model assessment of insulin resistance were calculated. We noted that participants carrying the GG genotype had lower skeletal muscle mass and fat free mass (FFM) when carbohydrate intake was > 48%, whereas they presented higher fat-free mass (FFM), and surprisingly higher total cholesterol and LDL-C concentrations when daily fiber intake was > 18 g. Moreover, in these subjects we noted higher waist circumference, BMI, and fasting glucose and insulin concentrations, when > 18% of total daily energy intake was delivered from proteins, and higher VAT content and HDL-C concentrations when > 30% of energy intake was derived from dietary fat. Our results suggest that glucose homeostasis and obesity-related parameters in carriers of some common variants of BDNF gene, especially in the GG (rs10835211) genotype carriers, may differ dependently on daily energy, dietary macronutrients and fiber intake.

The Beneficial Effect of Cinnamon and Red Capsicum Intake on Postprandial Changes in Plasma Metabolites Evoked by a High-Carbohydrate Meal in Men with Overweight/Obesity.

The relationship of high-carbohydrate (HC) meal intake to metabolic syndrome is still not fully explained. Metabolomics has the potential to indicate metabolic pathways altered by HC meals, which may improve our knowledge regarding the mechanisms by which HC meals may contribute to metabolic syndrome development. The fasting and postprandial metabolic response to HC or normo-carbohydrate (NC) meals with/without cinnamon + capsicum intake was evaluated using untargeted metabolomics and compared between normal-weight (NW) and overweight/obese (OW/OB) healthy men. Healthy male participants (age-matched) were divided into two groups (12 subjects per group). One was composed of men with normal weight (NW) and the other of men with overweight/obesity (OW/OB). On separate visits (with 2-3 week intervals), the participants received standardized HC or NC meals (89% or 45% carbohydrates, respectively). Fasting (0 min) and postprandial (30, 60, 120, 180 min) blood were collected for untargeted plasma metabolomics. Based on each metabolic feature's intensity change in time, the area under the curve (AUC) was calculated. Obtained AUCs were analyzed using multivariate statistics. Several metabolic pathways were found dysregulated after an HC meal in people from the OW/OB group but not the NW group. The consumption of HC meals by people with overweight/obesity led to a substantial increase in AUC, mainly for metabolites belonging to phospholipids and fatty acid amides. The opposite was observed for selected sphingolipids. The intake of cinnamon and capsicum normalized the concentration of selected altered metabolites induced by the intake of HC meals. A HC meal may induce an unfavourable postprandial metabolic response in individuals with overweight/obesity, and such persons should avoid HC meals.