This study, for the first time, sought to investigate whether the interaction between the GRS consists of three SNPs (CAV-1, CRY-1, MC4R) and fat intake is associated with inflammatory markers among I Show more
This study, for the first time, sought to investigate whether the interaction between the GRS consists of three SNPs (CAV-1, CRY-1, MC4R) and fat intake is associated with inflammatory markers among Iranian overweight and obese women. This cross-sectional study was conducted with 246 overweight and obese women, aged 18-48 years. Three SNPs, including CAV-1 rs3807992, CRY-1 rs2287161, and MC4R rs17782313, were genotyped using PCR-RFLP to calculate the genetic risk score (GRS) for each participant. Dietary fat intake was measured using a validated semi-quantitative food frequency questionnaire (FFQ). C-reactive protein (CRP), interleukin-1β (IL-1β), transforming growth factor-β (TGF-β), monocyte chemoattractant protein-1 (MCP-1), plasminogen activator inhibitor-1 (PAI-1), and Galectin-3 (Gal-3) were assessed as the primary outcomes of the study. After controlling for confounding variables, a significant interaction between high total fat intake and high GRS, compared to the reference group, was found for TGF-β level ( Consuming different types of fats can influence the interaction between GRS and inflammatory markers, suggesting further research is needed to fully understand this relationship. The online version contains supplementary material available at 10.1007/s40200-024-01542-z. Show less
Mental health and sleep quality are associated with genetics and nutrient and energy intake. The present study examined the association between ultra-processed food (UPF) intake and genetic risk score Show more
Mental health and sleep quality are associated with genetics and nutrient and energy intake. The present study examined the association between ultra-processed food (UPF) intake and genetic risk score (GRS) and their interactions on mental health and sleep quality in Iranian women. A cross-sectional study was conducted on 278 overweight and obese females aged between 18 and 56 years. According to the NOVA classification system, 37 food groups and beverages were collected using a 147-item semi-quantitative food frequency questionnaire (FFQ). The blood parameters of all participants were assessed. Mini-column kit (type G; Genall; Exgene) and the PCR-RFLP method were used to extract DNA and determine gene polymorphism, respectively. Three single nucleotide polymorphisms (SNPs), including Caveolin₁ (Cav₁₎, Melanocortin4 receptor (MC4R), and cryptochrome circadian regulator 1 (CRY1), were used to calculate GRS. The individual risk allele (0, 1, 2) for each SNP was calculated using the incremental genetic model. After controlling for confounders, a significant interaction was found for depression (β = 0.026, 95% CI 0.003, 0.049, P = 0.028) and depression anxiety stress scales (DASS) score (β = 0.059, 95% CI 0.001, 0.117, P = 0.046) on the NOVA classification system and GRS. The findings of this study showed a significant interaction between GRS and the NOVA classification system on mental disorders, including depression, DASS score and stress. There was also a significant relationship between the NOVA classification system and anxiety, DASS score, sleep quality and depression. Furthermore, a partially significant association was observed between GRS and stress. Level V, cross-sectional descriptive study. Show less
Mahtab Zarei, Farideh Shiraseb, Atieh Mirzababaei+1 more · 2022 · Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · Blackwell Publishing · added 2026-04-24
Previous studies have shown that the C allele of melanocortin 4 receptor (MC4R) rs17782313 and the Alternative Healthy Eating Index (AHEI) are separately associated with obesity. However, the present Show more
Previous studies have shown that the C allele of melanocortin 4 receptor (MC4R) rs17782313 and the Alternative Healthy Eating Index (AHEI) are separately associated with obesity. However, the present study aimed to investigate the interaction between MC4R rs17782313 variants and the AHEI and their association with central and general obesity indices, which has not been assessed previously. In total, 291 women with body mass index (BMI) ≥ 25 kg m After adjustment for age, energy intake, physical activity, marital status, and economic status, the interaction between MC4R rs17782313 and the AHEI was associated with hip circumference [β = -0.41, 95% confidence interval (CI) = -0.77 to -0.05, p = 0.02], BMI (β = -0.15, 95% CI = -0.29 to -0.02, p = 0.02), fat mass (kg) (β = -0.28, 95% CI = -0.56 to -0.01, p = 0.03), visceral fat area (β = -5.68, 95% CI = -9.55 to -1.80, p = 0.004). The other measures that appear to be suggestively related to this interaction (0.05 < p < 0.07) are waist circumference, waist-to-height ratio, trunk fat (%), trunk fat (kg), fat mass (%) and fat mass index. The interaction between MC4R rs17782313 and the AHEI can be related to central and general obesity indices in overweight/obese women. Show less