Cardiovascular disease (CVD), which is an important global health challenge, is expanding. One of the main factors in the occurrence of CVD is a high genetic risk. The interaction between genetic risk Show more
Cardiovascular disease (CVD), which is an important global health challenge, is expanding. One of the main factors in the occurrence of CVD is a high genetic risk. The interaction between genetic risk in CVD and nutrition is debatable. Polyphenols are one of the important dietary components that may have a protective role in people who have a high genetic risk score (GRS) for cardiometabolic risk factors. This study, conducted in overweight and obese women, examines the interaction between polyphenol intake and specific genes (MC4r, Cav-1, and Cry1) related to maintaining body balance and their interaction with cardiometabolic risk factors. This cross-sectional study included 391 women who were overweight or obese, aged 18 to 48 years, with a body mass index (BMI) between 25 and 40 kg/m The mean ± standard deviation (SD) age and BMI of women were 36.67 (9.1) years and 30.98 (3.9) kg/m According to our findings, those with a high GRS may have a protective effect on cardiometabolic risk factors by consuming high amounts of polyphenols. Further studies will be necessary in the future to validate this association. Show less
Previous studies have shown that the minor allele (C allele) for melanocortin 4 receptor (MC4R) rs17782313 may be associated with depressed mood. Moreover, dietary patterns have potentially adverse ef Show more
Previous studies have shown that the minor allele (C allele) for melanocortin 4 receptor (MC4R) rs17782313 may be associated with depressed mood. Moreover, dietary patterns have potentially adverse effects on depression. This study investigates the interactions between the MC4R gene variant (rs17782313) and dietary patterns on depression among Iranian obese and overweight women. A total of 289 Iranian overweight and obese women, aged 18-50 years, were enrolled in this cross-sectional study. Biochemical, anthropometric, and body composition indices were assessed in all participants. Moreover, MC4R rs17782313, by the restriction fragment length polymorphism (PCR-RFLP) method, and depression, using the 21-item Depression Anxiety Stress Scales (DASS) questionnaire, were assessed. Food intakes were assessed by completing a 147-item semi-quantitative food frequency questionnaire (FFQ). By the use of factor analysis, 2 major dietary patterns were extracted: healthy dietary pattern (HDP) and unhealthy dietary pattern (UDP). Binary logistic analysis showed that individuals with minor allele risk (CC) with high adherence to the unhealthy pattern increased odds for depression (OR: 8.77, 95%CI: -0.86-18.40, P: 0.07), after controlling for confounders. Also, a logical inverse relationship was observed between CT genotype and HDP on depression in the crude and adjusted models (OR: -0.56, 95% CI: -3.69-2.57, P: 0.72) (OR: -4.17, 95% CI: -9.28-0.94, P: 0.11), although this interaction was not statistically significant. According to the above findings, adherence to unhealthy food intake pattern increases odds of depression in MC4R risk allele (C allele) carriers. To confirm these findings, more studies are needed in the form of clinical trials and prospective studies with higher sample sizes. Show less
Cardiovascular disease (CVD) is the leading cause of death in women globally. Recent studies have reported that the minor allele (C allele) for melanocortin 4 receptor (MC4R) rs17782313 may be related Show more
Cardiovascular disease (CVD) is the leading cause of death in women globally. Recent studies have reported that the minor allele (C allele) for melanocortin 4 receptor (MC4R) rs17782313 may be related to the incidence of obesity and the risk of CVD. Therefore, the present study aimed to investigate the interactions between the modified Nordic-style diet score (MND) and MC4R gene variant on markers of CVD. The current cross-sectional study was conducted on 282 Iranian women, aged 18-48 years, with a body mass index (BMI) ≥ 25. MND score was assessed using a 147 items food frequency questionnaire (FFQ). Genotyping of the MC4R (rs17782313) was conducted by the PCR method. The anthropometric measurements and serum profiles were assessed by standard protocols. The means and standard deviation (SD) of age, weight, and BMI of individuals were 36.67 ± 9.10 years, 81.29 ± 12.43 kg, and 31.26 ± 4.29 kg/m In conclusion, the results of the present study suggest that diet, gene variants, and their interaction should be considered in metabolic disease risk assessment. Further studies are needed to confirm these data and better elucidate the interaction. 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
Recent studies have shown that dietary carbohydrate quantity and quality as well as genetic variants may contribute to determining the metabolic rate and general and central obesity. This study aimed Show more
Recent studies have shown that dietary carbohydrate quantity and quality as well as genetic variants may contribute to determining the metabolic rate and general and central obesity. This study aimed to examine interactions between melanocortin 4 receptor gene (MC4R) rs17782313 and dietary carbohydrate intake, glycemic index (GI), and glycemic load (GL) on body mass index (BMI), waist circumferences (WC), basal metabolic rate (BMR), and BMR/kg in overweight/obese women. A total of 282 Iranian women (BMI ≥ 25) aged 18-56 years were enrolled in this cross-sectional study. All participants were assessed for blood parameters, body composition, BMR, and dietary intake. Dietary carbohydrate intake, GI, and GL were determined using a valid, reliable 147-item food frequency questionnaire. MC4R rs17782313 was genotyped by the restriction fragment length polymorphism (PCR-RFLP) method. After adjustment for age and energy intake, significant interactions were observed between carbohydrate intake and MC4R rs17782313 in terms of BMI (P Interaction = 0.007), WC (P Interaction = 0.02), and BMR/kg (P Interaction = 0.003) in this way that higher carbohydrate intake, compared with lower intake, was associated with an increase in BMI and WC for individuals with C allele carriers (TC + CC genotypes), while related to an increase in BMR/kg for those carrying the TT genotype. No significant interaction was found between MC4R rs17782313 and GI and GL on BMI, WC, BMR/kg, and BMR. Interactions between the MC4R rs17782313 and carbohydrate intake probably can have an effect on BMI, WC, and BMR/kg in overweight/obese women. Show less
Previous studies have shown that the minor allele (C allele) for melanocortin 4 receptor (MC4R) rs17782313, may be associated with incidence of obesity and the risk of cardiovascular diseases (CVDs). Show more
Previous studies have shown that the minor allele (C allele) for melanocortin 4 receptor (MC4R) rs17782313, may be associated with incidence of obesity and the risk of cardiovascular diseases (CVDs). Moreover, inflammation caused by the diet has been shown to have, potentially, unfavorable effects on CVD risk. This study used a linear regression model to investigate the interactions between the dietary inflammatory index (DII) and MC4R gene variants on markers of CVD. This comparative cross-sectional study was conducted on 266 Iranian women with overweight and obesity. A food frequency questionnaire (FFQ) with 147 items was used to assess dietary intakes. Individuals were categorized into three groups based on rs17782313 genotype. Participants were also divided into four groups based on DII score. Higher quartiles of DII were associated with lower levels of high density lipoproteins (HDL) (p = 0.01) and higher levels of triglycerides (TG) (p = 0.04). There was a significant difference between genotypes for insulin (p < 0.001), HOMA index (p < 0.001), total body mineral content (p = 0.03), and bone mineral content (BMC) (p = 0.04). Our findings also showed significant interactions between DII score and rs17782313 polymorphism on total cholesterol, total body mineral content, BMC, soft lean mass (SLM), fat free mass (FFM) (p = 0.03), skeletal muscle mass (SMM), and basal metabolic rate (BMR). Higher DII scores were associated with lower HDL levels and higher TG levels, respectively; whilst significant differences were observed between the genotypes of rs17782313 for insulin and HOMA index, total body mineral content, and BMC. These results highlight that dietary compositions, gene variants, and their interaction, should be considered in CVD risk assessment. Show less