Interaction of MC4R rs17782313 variants and dietary carbohydrate quantity and quality on basal metabolic rate and general and central obesity in overweight/obese women: a cross-sectional study.

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: Interactions between the MC4R rs17782313 and carbohydrate intake probably can have an effect on BMI, WC, and BMR/kg in overweight/obese women.

Food insecurity and anaemia risk: a systematic review and meta-analysis.

OBJECTIVE: Increasing evidence has suggested an association between food insecurity and the risk of anaemia. Therefore, a systematic review and meta-analysis were performed to examine the associations between food insecurity and anaemia risk. SETTING: Pertinent studies were identified by searching PubMed and EMBASE databases up to August 2017. Data were available from nineteen studies; seventeen studies were cross-sectional and two studies were longitudinal. Risk ratios of 95993 individual participants from twelve different countries in these studies were pooled for the meta-analysis. RESULTS: The results showed that there was an overall positive relationship between food insecurity and anaemia risk (OR=1·27; 95 % CI 1·13, 1·40). Similar results were observed for Fe-deficiency anaemia (OR=1·45; 95 % CI 1·04, 1·86). These results revealed that food insecurity at two levels, including mild food insecurity (OR=1·15; 95 % CI 1·00, 1·31) and moderate food insecurity (OR=1·36; 95 % CI 1·23, 1·48), increased the risk of anaemia. In addition, it was found that age had an impact on the associations between food insecurity and anaemia risk (OR=1·22; 95 % CI 1·09, 1·36). Age subgroup analysis indicated that food insecurity significantly increased the risk of anaemia among infants/toddlers (OR=1·17; 95 % CI 1·05, 1·29) and adult women (OR=1·35; 95 % CI 1·16, 1·54). CONCLUSIONS: It seems that infants, toddlers and adult women in food-insecure households are at a higher risk of anaemia. To prevent anaemia in food-insecure households, these age groups may require more nutritional support.

Lack of change in blood pressure and arterial stiffness after high dairy intake in hyperinsulinemic subjects: a cross-over randomized controlled trial.

To evaluate the effects of high dairy (HD) (≥4 servings/day), compared to adequate dairy (AD) (2-3 servings/day as per Canada's Food Guide for Healthy Eating (2007)), on blood pressure (BP) and measures of arterial stiffness in hyperinsulinemic subjects. In this cross-over clinical trial, hyperinsulinemic adults were randomized to AD and HD for 6 weeks. Anthropometric, glycemic, and lipid parameters were analyzed and dietary intake was evaluated; BP, carotid-femoral pulse wave velocity, augmentation index, and measures of arterial stiffness were assessed. Twenty-seven participants completed the study. Dairy intake was 2.2 ± 1.2 servings/day during AD. In addition, lower total and low-density lipoprotein (LDL) cholesterol were observed without significant change in BP or arterial stiffness between before and after AD. During HD, the subjects consumed 5.8 ± 1.9 servings/day of dairy products, providing a higher intake of protein, saturated fat, calcium, phosphorus, sodium, and potassium compared to the baseline diet. After the HD, subjects had higher body fat, fasting insulin, homeostatic model assessment for insulin resistance (HOMA-IR) index, and triglycerides without altering BP or arterial stiffness compared to before HD. Overall, adequate or high intake of total dairy did not modify BP or arterial stiffness in hyperinsulinemic adults after 6 weeks.

l-carnitine downregulate the muscle wasting effect of glucocorticoids in pemphigus patient: A randomized double-blind placebo-controlled study.

Pemphigus Vulgaris (PV) is a blistering autoimmune disease caused by autoantibodies against desmoglein 1 and 3. Treatment options are limited to corticosteroids and immunosuppressants. The myotoxic effect of glucocorticoids is a fact that has been elucidated. So, the development of efficacious treatment approaches to combat muscle wasting is of great importance. Considering the adverse effect of glucocorticoid therapy in pemphigus patients and altered muscle metabolism, this study aimed to investigate the effect of l-carnitine supplementation which can be useful in combating muscle-wasting impact of glucocorticoid therapy. In this randomized double-blind placebo-controlled trial 44 pemphigus patients aged from 30 to 65 years, receiving glucocorticoid therapy were selected to evaluate the suitability of l-carnitine (LC) as an anti-wasting substance. Patients were randomly divided into two groups to receive 2 g/d l-carnitine or placebo for 8 weeks; serum markers of muscle metabolism (IGF-1, creatine kinase, myogenin, myostatin) was evaluated before and after the l-carnitine supplementation. Paired T-test was used to analyze the differences between variables before and after the intervention. Therefore, the student's t-test was performed to find any differences in baseline characteristics and dietary intakes between the trial groups. LC intake led to a significant rise in serum IGF-1 and a reduction in CK and myostatin levels compared to baseline (p < 0.05) but there were no significant inter-group differences in IGF-1 and CK levels; There was also a significant reduction in myostatin level in LC group (p < 0/05). Myogenin levels decreased in both LC and placebo groups but the decrease in the placebo group was significant (p = 0/008); it means LC prevent the myogenin decreasing trend in the LC group compared to placebo. In conclusion, LC supplementation beneficially changes the level of IGF-1 and myostatin and improves muscle metabolism and regeneration in PV patients.

Relations of major dietary patterns and metabolically unhealthy overweight/obesity phenotypes among Iranian women.

OBJECTIVE: No studies have examined the contribution of major dietary patterns to MUH phenotypes in obese and overweight people based on Karelis criteria. This study was conducted to evaluate the association of major dietary patterns with MUHOW/O and MHOW/O phenotypes. METHODS: This cross-sectional study was conducted on 290 overweight and obese women aged 18-50 (BMI≥25 kg/m2). Anthropometric measurements were assessed in all participants. The MH phenotype was defined according to the Karelis criteria. Major dietary patterns were determined using factor analysis of 21 foods groups using a valid and reliable FFQ containing 147 items. Participants' body composition was assessed by BIA. Serum HDL, LDL, TG, insulin, and hs-CRP levels were quantified by ELISA. RESULTS: By the use of factor analysis, 3 major dietary patterns were extracted: healthy dietary pattern (HDP), western dietary pattern (WDP) and unhealthy dietary pattern (UNHDP). Binary logistic analysis showed that participants in the in the upper category of WDP had greater odds of MUH phenotype (OR = 2.33, 95%CI = 1.11-4.91, P = 0.02), after confounder factor control. Individuals with high adherence to the UNHDP score had high odds of MUH phenotype (OR = 1.75, 95%CI = 0.98-3.10, P = 0.05), after adjustment for BMI, age, and total EI, compared to those with low adherence. A positive relation was observed between WDP and levels of hs-CRP, HOMA-IR (OR = 1.94, 95%CI = 0.91-4.10, P = 0.05 and OR = 2.53, 95%CI = 1.26-5.11, P = 0.009) as well as a positive association between UHDP and plasma level of LDL (OR = 1.90, 95%CI = 1.04-3.47, P = 0.03), but an inverse association between HDP and hs-CRP level (OR = 0.56, 95%CI = 0.29-0.92, P = 0.03). CONCLUSIONS: The present evidence indicates various significant associations among major dietary patterns and MUHOW/O phenotypes.

Association of adherence to the dietary approach to stop hypertension diet and diet quality indices among women in Tehran: A cross- sectional study.

Background: Examining dietary approach to stop hypertension (DASH) diet based on other dietary quality indices can be helpful to clarify positive aspects of this healthy dietary pattern. We aimed to examine the association between the DASH diet score and some diet quality indices among Iranian women. Methods: In this cross-sectional study, 304 women aged 20 to 50 years old were recruited. Dietary diversity score (DDS), dietary energy density (DED), adherence to DASH diet, AlternativeHealthy Eating Index (AHEI) and mean adequacy ratio (MAR) were examined as suggested by previous articles. Dietary quality indices, anthropometric indices, and dietary intake were categorized based on DASH tertiles. A semi-quantitative food frequency questionnaire with 168items was used for dietary assessment. Results: There were no significant differences in the demographic characteristics of participants across DASH tertiles (P>0.05). Participants who adhered more to the DASH diet had lower DEDthan those with lower adherence (0.99±0.35 vs 1.26±0.30; P=0.01). Significant differences were observed in the index of DDS across tertiles (P=0.01), however no differences in nutrient adequacy ratio (NAR) and MAR (0.93) index across the DASH categories were found.Additionally, DDS to DED in the top tertile of the DASH diet was greater than the bottom one(6.7±2.9 vs 4.4±1.9; P=0.001). Conclusion: The present study indicated that greater adherence to the DASH diet is inversely associated with DED and AHEI. As well as, there was a positive association between the DASHdiet and DDS/DED ratio. However, more studies are needed to confirm the results of this study.

A comparison of the sensitivity and specificity of anthropometric measurements to predict unhealthy metabolic phenotype in overweight and obese women.

AIM: Metabolically Healthy Obese (MHO) is called to obese people that their insulin sensitivity, lipid profiles and inflammatory profiles are favorable, and there are no signs of hypertension and cardio-metabolic diseases. The metabolically unhealthy obese (MUHO) is the opposite. A Body Shape Index (ABSI) is a marker to identifying abdominal obesity that is derived from weight, height and waist circumference (WC). Several studies have reported ABSI is associated with diabetes, metabolic syndrome, hypertension and higher mortality rate. MATERIALS AND METHODS: A total of 305 overweight and obese women were included in the current comparative cross-sectional study. Body composition was measured using body composition analyzer. Blood samples were obtained. The usual food intake of evaluated through the use of a semi-quantitative food frequency questionnaire. RESULTS: The results of this study revealed that there is a significant relationship between ABSI and MHO and MUHO (p = 0.04) and area under the ROC curve was 0.60. Also there is a significant relationship between BMI, fat mass index (FMI), free fat mass index (FFMI), neck circumference (NC), WC, fat mass (FM) and metabolic healthy status (MHS). The largest area under the ROC curve belonged to NC, WC, FM and BMI (0.66). CONCLUSION: The findings of this study suggest that there is a significant relationship between ABSI, BMI, FMI, FFMI, NC, WC, FM and MHS. The largest area under the ROC curve was related to the NC, WC, FM and BMI not ABSI, that means NC, WC, FM and BMI have maximum sensitivity and specificity.