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Background Low carbohydrate diet (LCD) can improve inflammation and obesity and also circadian rhythm disorders can lead to increased inflammation in obese individuals. The purpose of this study is to evaluate the association between adherence of LCD and circadian rhythm mediated by inflammatory markers including transforming growth factor-β (TGF-β), interleukin-1β (IL-1β) and Galectin-3 in overweight and obese women. Methods 304 women affected by overweight and obesity were enrolled. We evaluated LCD scores by Semi-quantitative food frequency questionnaire (FFQ) of 147 items. The morning-evening questionnaire (MEQ) was applied to evaluate the circadian rhythm. Biochemical parameters such as inflammatory markers and anthropometric components were assessed. Results There was a negative significant correlation between adherence of LCD and circadian rhythm status. In other words, as the LCD scores increased, the odds of circadian rhythm disturbance in intermediate group and morning type persons decreased compared to evening type. It was showed that, IL-1β and Galectin-3 in intermediate and morning type groups, destroyed the significance of this relationship and may be considered as mediating markers. Conclusion Adherence of LCD can improve the circadian rhythm by reducing levels of inflammatory markers and may be considered as a treatment for obesity.

Background: Essential amino acids (EAAs) promote the process of regulating muscle synthesis. Thus, whey protein that contains higher amounts of EAA can have a considerable effect on modifying muscle synthesis. However, there is insufficient evidence regarding the effect of soy and whey protein supplementation on body composition. Thus, we sought to perform a meta-analysis of published Randomized Clinical Trials that examined the effect of whey protein supplementation and soy protein supplementation on body composition (lean body mass, fat mass, body mass and body fat percentage) in adults. Methods: We searched PubMed, Scopus, and Google Scholar, up to August 2020, for all relevant published articles assessing soy protein supplementation and whey protein supplementation on body composition parameters. We included all Randomized Clinical Trials that investigated the effect of whey protein supplementation and soy protein supplementation on body composition in adults. Pooled means and standard deviations (SD) were calculated using random-effects models. Subgroup analysis was applied to discern possible sources of heterogeneity. Results: After excluding non-relevant articles, 10 studies, with 596 participants, remained in this study. We found a significant increase in lean body mass after whey protein supplementation weighted mean difference (WMD: 0.91; 95% CI: 0.15, 1.67. P= 0.019). Subgroup analysis, for whey protein, indicated that there was a significant increase in lean body mass in individuals concomitant to exercise (WMD: 1.24; 95% CI: 0.47, 2.00; P= 0.001). There was a significant increase in lean body mass in individuals who received 12 or less weeks of whey protein (WMD: 1.91; 95% CI: 1.18, 2.63; P<0.0001). We observed no significant change between whey protein supplementation and body mass, fat mass, and body fat percentage. We found no significant change between soy protein supplementation and lean body mass, body mass, fat mass, and body fat percentage. Subgroup analysis for soy protein indicated there was a significant increase in lean body mass in individuals who supplemented for 12 or less weeks with soy protein (WMD: 1.48; 95% CI: 1.07, 1.89; P< 0.0001). Conclusion: Whey protein supplementation significantly improved body composition via increases in lean body mass, without influencing fat mass, body mass, and body fat percentage.

Abstract. Background: There is increasing evidence supporting the association between dietary acid load and metabolic syndrome (MetS) components. However, to the best of our knowledge, there are rare and inconsistent studies to examine the association of dietary acid load and MetS score. The aim of this research was to assess dietary acid loads as measured by potential renal acid load (PRAL) in relation to MetS. Methods: The current study involved 246 overweight or obese women. Dietary assessment was performed using a validated 147-item food frequency questionnaire (FFQ). Remer’s equation was used to calculate PRAL score. MetS was defined as the National Cholesterol Education Program (NCEP)/Adult Treatment Panel ΙΙΙ (ATP). Multivariable logistic regression models were used to find the association between PRAL score and MetS. Results: The mean age and BMI of participants were 36.49±8.38 years old and 31.04±4.31 kg/m2, respectively. Overall, 32 percent of participants had MetS. According to the final model, although not statistically significant, there was a trend which suggested that being in the highest quartile of adherence to dietary acid load, evaluated by PRAL score, compared to the lowest quartile was associated with higher odds of MetS [(OR: 2.80; 95% CI: 0.95–8.26), (P=0.06)]. Conclusions: Our study shows a borderline non-significant association between PRAL and odds of MetS in overweight or obese women. However, definitive clarification of this relationship requires future intervention studies.

Background: Several epidemiologic studies have reported that dietary acid load is associated with metabolic pro les; however, to our knowledge, the relationship of this dietary pattern with resting metabolic rate (RMR) among obese and overweight females remains unreported. Therefore, this study aimed to evaluate the association of dietary acid load RMR and metabolic components among overweight and obese adult women. Methods: This cross-sectional study was conducted on 375 Iranian adults, aged 18-48 years. Dietary acid load indexes were calculated by using a validated 147-item semi-quantitative FFQ. Biochemical and anthropometric measures were assessed using standard methods. An impedance fat analyzer was used to obtain the body composition and an indirect calorimeter was used to assess the RMR.Result: It was observed that after correction for potential confounders, DBP and NEAP and PRAL scores were inversely associated (P<0.05). NEAP index was inversely associated with RMR (β= -0.25, 95% CI=-0.1.5 to 2.08, P=0.02), and positively associated with WC (β= 1.009, 95% CI=-1.43 to 3.45, P=0.05) and WHR (β= 0.01, 95% CI= -0.01 to0.04, P=0.03), such that subjects with higher scores in NEAP had lower RMR and higher WC and WHR. We also observed that DAL (β= -0.02, 95% CI= -0.08 to0.03, P=0.08) and PRAL (β= -0.037, 95% CI= -1.05 to 0.03 P=0.07) were marginally associated with RMR. Conclusion:The results of the present study suggested that higher dietary acid load scores may be negatively associated with lower RMR, while directly associated with greater WC, WHR, DBP, and HOMA-IR.