Aim Aryl hydrocarbon receptor (AhR) plays a role in xenobiotic metabolism, which can be also activated by dietary patterns and components. AhR ligands in circulation are reported to induce weight gain, glucose intolerance and suggested to contribute to the development of obesity. In this study, we aimed to examine the relationship of the AhR gene and its polymorphisms with obesity and food consumption. Methods The study was conducted with 117 individuals of whom 52 had a body mass index (BMI) of <25 (normal weight) and 65 had a BMI of ≥25 (overweight/obese). The distribution of the serum level and polymorphism (rs10247158) of the participants were determined in venous blood samples using the ELISA and PCR method. Body composition and skinfold thickness of the individuals were measured and their food consumption records were analysed in the BeBiS program. Results The serum AhR, HOMA‐IR, fasting blood glucose and basal insulin levels were found to be significantly higher (P < .001); however, no relationship was found between AhR polymorphisms in the overweight/obese individuals. In the overweight/obese group, the serum AhR level had a negative correlation with potassium, coffee and alcohol consumption and a positive correlation with suprailiac skinfold thickness. Dietary patterns expected to be related with increased serum AhR levels, such as fat and derivatives, were not observed in overweight/obese group; on the other hand, there was a negative correlation in normal group. Conclusion In our study, the serum AhR levels of the overweight/obese individuals were found to be significantly higher. Some dietary patterns were determined to be correlated with serum AhR levels in overweight/obese group. However, the results need to be confirmed for ethnic differences and larger samples.

Objectives Obesity is one of the most serious public health problems due to its high morbidity and mortality rates. The taste perception is a powerful factor affecting food acceptance and may be one of the causes of tendency to obesity. Genetic variations in TAS1R2 and TRPM5 genes that affect taste preferences may cause inter‐individual differences in food selection and thus increase the risk of obesity. We hypothesised that genetic variations in TAS1R2 and TRPM5 genes may contribute to obesity phenotypes by influencing food intake and body mass index (BMI). The aim of this study is to analyse the association of TAS1R2 rs35874116 and TRPM5 rs886277 polymorphisms with BMI and obesity. Methods A total of 186 people were enrolled in this study, 54 of whom were normal weight (BMI = 18.50‐24.99 kg/m2), 15 overweight (BMI = 25.0‐29.9 kg/m2) and 117 obese people (BMI ≥ 30 kg/m2). Genomic DNA was isolated from whole blood with the Blood DNA Isolation kit. TAS1R2 rs35874116 and TRPM5 rs886277 polymorphisms were detected by using the Kompetitive Allele Specific PCR genotyping system (KASP). KASP genotyping assays are based on competitive allele‐specific PCR and enable bi‐allelic scoring of single nucleotide polymorphisms (SNPs) at specific loci. Results There were no significant differences in the allele and genotype frequencies between normal and overweight/obese, but there was a trend towards a smaller increase in BMI in TAS1R2 rs35874116 GA heterozygotes (OR = 1.827), GG (OR = 1.364) homozygotes genotypes. Conclusions Although TAS1R2 and TRPM5 genes were associated with taste preferences in previous studies, we found out that TAS1R2 rs35874116 and TRPM5 rs886277 variants are not associated with obesity. The functional potency of the genetic variants within TAS1R2 and TRPM5 may be different between ethnic groups and this requires further investigations.

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Aim The aim of the study was to determine the effects of constipation symptoms and nutritional status on disease‐related parameters, such as disease duration, spirometry test and quality of life, of chronic obstructive pulmonary disease (COPD) patients. Methods The research was performed with 48 COPD patients attending the centre from January 2019 to August 2019. Assessment of constipation symptoms was done by Constipation Severity Instrument (CSI), whereas for quality of life assessment, St. George's Respiratory Questionnaire (SGRQ) was used. Patient's nutritional status was determined by food frequency questionnaire. Body mass index (BMI) and fat‐free mass index (FFMI) of the patients were identified with the bioelectrical impedance analysis (BIA) method. Statistical assessment of data was done with SPSS 22 program. Results According to the relationship between CSI scores and COPD disease parameters, there was a weak positive correlation between the CSI obstructive defecation subscale and SGRQ activity score and weak positive correlation between CSI colonic inertia subscale and COPD duration from the diagnosis. We found a weak negative correlation between protein intake percentage and SGRQ impact score. As the disease duration increased, the total fat, polyunsaturated fatty acids and vitamin E intake of individuals were determined to reduce. Conclusion According to our results, there were some changes in the nutrient intake depending on the duration of COPD, and possible constipation in COPD patients may affect the quality of life.

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