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Objective: To determine whether statin medication in individuals with obesity, dyslipidemia, and metabolic syndrome affects their capacity to mobilize and oxidize fat during exercise. Methods: Twelve individuals with metabolic syndrome pedaled during 75 min at 54 ± 13% ...O2max (5.7 ± 0.5 metabolic equivalents) while taking statins (STATs) or after 96-hr statin withdrawal (PLAC) in a randomized double-blind fashion. Results: At rest, PLAC increased low-density lipoprotein cholesterol (i.e., STAT 2.55 ± 0.96 vs. PLAC 3.16 ± 0.76 mmol/L; p = .004) and total cholesterol blood levels (i.e., STAT 4.39 ± 1.16 vs. PLAC 4.98 ± 0.97 mmol/L; p = .008). At rest, fat oxidation (0.99 ± 0.34 vs. 0.76 ± 0.37 μmol⋅kg-1⋅min-1 for STAT vs. PLAC; p = .068) and the rates of plasma appearance of glucose and glycerol (i.e., Ra glucose-glycerol) were not affected by PLAC. After 70 min of exercise, fat oxidation was similar between trials (2.94 ± 1.56 vs. 3.06 ± 1.94 μmol⋅kg-1⋅min-1, STA vs. PLAC; p = .875). PLAC did not alter the rates of disappearance of glucose in plasma during exercise (i.e., 23.9 ± 6.9 vs. 24.5 ± 8.2 μmol⋅kg-1⋅min-1 for STAT vs. PLAC; p = .611) or the rate of plasma appearance of glycerol (i.e., 8.5 ± 1.9 vs. 7.9 ± 1.8 μmol⋅kg-1⋅min-1 for STAT vs. PLAC; p = .262). Conclusions: In patients with obesity, dyslipidemia, and metabolic syndrome, statins do not compromise their ability to mobilize and oxidize fat at rest or during prolonged, moderately intense exercise (i.e., equivalent to brisk walking). In these patients, the combination of statins and exercise could help to better manage their dyslipidemia. [ABSTRACT FROM AUTHOR]

(1) Introduction: Coenzyme Q10 (CoQ10) is a component present in the transport chain of mitochondrial electrons with antioxidant property. Currently, there are limited studies which indicate the effects of its supplementation on Metabolic Syndrome (MetS) and Non-Alcoholic Fatty Liver Disease (NAFLD). (2) Objective: This work was conducted to determine the effects of CoQ10 supplementation in women with MetS and NAFLD. (3) Methodology: This double-blind randomized clinical-controlled trial was performed among 22 women with MetS and NAFLD. Patients were randomized into two groups: group A (n = 11), which received 200 mg/day of CoQ10; and group B (n = 11), which received a placebo medication for 12 weeks. The hepatic steatosis present in NAFLD, the volume of abdominal fat, and visceral fat volume were evaluated by Magnetic Resonance Imaging (MRI). Anthropometric, blood pressure, and marker serums that compound the MetS were also analyzed. (4) Results: A decrease in visceral fat volume (p = 0.02), abdominal circumference (p = 0.03/CI = 0.19–3.80), and increase in HDL-cholesterol (p = 0.01/CI = −9.80: −1.44) was observed in the CoQ10-supplemented group. We did not find significant changes in any of the other variables evaluated. (5) Conclusions: Supplementation with CoQ10 for 12 weeks, even if discreetly, brought some benefits for the supplemented group whereas no changes were observed in the control group.

(1) Introduction: Coenzyme Q10 (CoQ10) is a component present in the transport chain of mitochondrial electrons with antioxidant property. Currently, there are limited studies which indicate the effects of its supplementation on Metabolic Syndrome (MetS) and Non-Alcoholic Fatty Liver Disease (NAFLD). (2) Objective: This work was conducted to determine the effects of CoQ10 supplementation in women with MetS and NAFLD. (3) Methodology: This double-blind randomized clinical-controlled trial was performed among 22 women with MetS and NAFLD. Patients were randomized into two groups: group A (n = 11), which received 200 mg/day of CoQ10; and group B (n = 11), which received a placebo medication for 12 weeks. The hepatic steatosis present in NAFLD, the volume of abdominal fat, and visceral fat volume were evaluated by Magnetic Resonance Imaging (MRI). Anthropometric, blood pressure, and marker serums that compound the MetS were also analyzed. (4) Results: A decrease in visceral fat volume (p = 0.02), abdominal circumference (p = 0.03/CI = 0.19–3.80), and increase in HDL-cholesterol (p = 0.01/CI = −9.80: −1.44) was observed in the CoQ10-supplemented group. We did not find significant changes in any of the other variables evaluated. (5) Conclusions: Supplementation with CoQ10 for 12 weeks, even if discreetly, brought some benefits for the supplemented group whereas no changes were observed in the control group. [ABSTRACT FROM AUTHOR]

Background & objectives The U.S. Army fell 25% short of its recruitment goal in 2022 and therefore, increasing the eligibility pool for potential recruits is of interest. Raising the body mass index (BMI) standards for eligibility presents a path to increase the recruitable population; however, there may be additional costs incurred due to attendant health risks that may be present in individuals with higher BMI. Methods We filtered the 2017-2020 National Health and Nutrition Examination Survey by age (17-25 years) and BMI (up to 30 kg/m2). A k-means cluster analysis was performed on the filtered dataset for the variables used to determine metabolic syndrome. Metabolic syndrome Clusters were characterized through summary statistics and compared over clinical measurements and questionnaire responses. Results Five distinct clusters were identified and mean BMI in two clusters (Clusters1 and 3) exceeded the current U.S. Army BMI thresholds. Of these two clusters, Cluster 1 members had metabolic syndrome. Cluster 3 members were at higher risk for metabolic syndrome compared to members of Clusters 2, 4, and 5. Mean waist circumference was slightly lower in Cluster 3 compared to Cluster 1. None of the clusters had significant differences in depression scores, poverty index, or frequency of dental visits. Conclusions Potential recruits from Cluster 1 have excessive health risk and may incur substantial cost to the U.S. Army if enlisted. However, potential recruits from Cluster 3 appear to add little risk and offer an opportunity to increase the pool for recruiting. [ABSTRACT FROM AUTHOR]

Background The risk for atherogenic plaque formation is high after ingestion of meals in individuals with high blood lipid levels (ie, dyslipidemia). Statins and exercise reduce the rise of blood triglyceride concentrations after a meal, but the effect of their combination is unclear. Methods In a randomized crossover design, 11 individuals with dyslipidemia and metabolic syndrome treated with statins underwent a mixed-meal (970 ± 111 kcal, 24% fat, and 34% carbohydrate) tolerance test. Plasma lipid concentrations, fat oxidation, glucose, and glycerol kinetics were monitored immediately prior and during the meal test. Trials were conducted with participants under their habitual statin treatment and 96 hours after blinded statin withdrawal. Trials were duplicated after a prolonged bout of low-intensity exercise (75 minutes at 53 ± 4% maximal oxygen consumption) to study the interactions between exercise and statins. Results Statins reduced postprandial plasma triglycerides from 3.03 ± 0.85 to 2.52 ± 0.86 mmol·L−1 (17%; P =.015) and plasma glycerol concentrations (ie, surrogate of whole-body lipolysis) without reducing plasma free fatty acid concentration or fat oxidation. Prior exercise increased postprandial plasma glycerol levels (P =.029) and fat oxidation rates (P =.024). Exercise decreased postprandial plasma insulin levels (241 ± 116 vs 301 ± 172 ρmol·L−1; P =.026) but not enough to increase insulin sensitivity (P =.614). Neither statins nor exercise affected plasma glucose appearance rates from exogenous or endogenous sources. Conclusions In dyslipidemic individuals, statins reduce blood triglyceride concentrations after a meal, but without limiting fat oxidation. Statins do not interfere with exercise lowering the postprandial insulin that likely promotes fat oxidation. Last, statins do not restrict the rates of plasma incorporation or oxidation of the ingested glucose. [ABSTRACT FROM AUTHOR]

Abstract Background Childhood obesity is a serious public health concern that confers a greater risk of developing important comorbidities such as MetS and T2DM. Recent studies evidence that gut microbiota may be a contributing factor; however, only few studies exist in school-age children. Understanding the potential role of gut microbiota in MetS and T2DM pathophysiology from early stages of life might contribute to innovative gut microbiome-based interventions that may improve public health. The main objective of the present study was to characterize and compare gut bacteria of T2DM and MetS children against control subjects and determine which microorganisms might be potentially related with cardiometabolic risk factors to propose gut microbial biomarkers that characterize these conditions for future development of pre-diagnostic tools. Results Stool samples from 21 children with T2DM, 25 with MetS, and 20 controls (n = 66) were collected and processed to conduct 16S rDNA gene sequencing. α- and β-diversity were studied to detect microbial differences among studied groups. Spearman correlation was used to analyze possible associations between gut microbiota and cardiometabolic risk factors, and linear discriminant analyses (LDA) were conducted to determine potential gut bacterial biomarkers. T2DM and MetS showed significant changes in their gut microbiota at genus and family level. Read relative abundance of Faecalibacterium and Oscillospora was significantly higher in MetS and an increasing trend of Prevotella and Dorea was observed from the control group towards T2DM. Positive correlations were found between Prevotella, Dorea, Faecalibacterium, and Lactobacillus with hypertension, abdominal obesity, high glucose levels, and high triglyceride levels. LDA demonstrated the relevance of studying least abundant microbial communities to find specific microbial communities that were characteristic of each studied health condition. Conclusions Gut microbiota was different at family and genus taxonomic levels among controls, MetS, and T2DM study groups within children from 7 to 17 years old, and some communities seemed to be correlated with relevant subjects’ metadata. LDA helped to find potential microbial biomarkers, providing new insights regarding pediatric gut microbiota and its possible use in the future development of gut microbiome-based predictive algorithms.

Background: Is there a difference in the prevalence of metabolic syndrome between employee service jobs and industrial jobs in Iran? In this study, we tried to answer this question. For this purpose, we compared the two populations of employees and workers. We compared the staff of the University of Medical Sciences as a service employees population (clinical and office work) to the industrial workers of a large automotive company (often with industrial occupations). Method: In this cross-sectional study conducted in Tehran in 2020, the prevalence of metabolic syndrome among 4,372 people employed by the university and 3,899 automotive industry employees was examined and compared. The prevalence of metabolic syndrome was assessed based on two criteria, National Cholesterol Education Program Adult Treatment Panel III (ATP III) and International Diabetes Federation (IDF). Results: The results showed that the prevalence of metabolic syndrome among university staff was higher than the automotive industrial workers. According to ATP III criteria, the former and latter showed the prevalence of metabolic syndrome of 13.1% among and 6.1%, respectively among. Also, based on IDF criteria, the prevalence of metabolic syndrome was 23.3% and 12.6% in two groups mentioned. Conclusion: Based on the findings of this study, the prevalence of metabolic syndrome in university staff was almost double that in industry workers. At first glance, the physical activity of most automotive, industrial workers seems to be the main reason for this difference; however, a prevalence of about twice implies further factors. According to the authors, the legal implementation of monitoring, promotion, and surveillance programs of occupational health, in industrial environments can be a factor accounting for a significant difference in the prevalence of metabolic syndrome between the two populations observed. The authors suggest implementing similar programs for Iranian public sector employees to enhance their health status. [ABSTRACT FROM AUTHOR]

Background: Childhood obesity is a serious public health concern that confers a greater risk of developing important comorbidities such as MetS and T2DM. Recent studies evidence that gut microbiota may be a contributing factor; however, only few studies exist in school-age children. Understanding the potential role of gut microbiota in MetS and T2DM pathophysiology from early stages of life might contribute to innovative gut microbiome-based interventions that may improve public health. The main objective of the present study was to characterize and compare gut bacteria of T2DM and MetS children against control subjects and determine which microorganisms might be potentially related with cardiometabolic risk factors to propose gut microbial biomarkers that characterize these conditions for future development of pre-diagnostic tools. Results: Stool samples from 21 children with T2DM, 25 with MetS, and 20 controls (n = 66) were collected and processed to conduct 16S rDNA gene sequencing. α- and β-diversity were studied to detect microbial differences among studied groups. Spearman correlation was used to analyze possible associations between gut microbiota and cardiometabolic risk factors, and linear discriminant analyses (LDA) were conducted to determine potential gut bacterial biomarkers. T2DM and MetS showed significant changes in their gut microbiota at genus and family level. Read relative abundance of Faecalibacterium and Oscillospora was significantly higher in MetS and an increasing trend of Prevotella and Dorea was observed from the control group towards T2DM. Positive correlations were found between Prevotella, Dorea, Faecalibacterium, and Lactobacillus with hypertension, abdominal obesity, high glucose levels, and high triglyceride levels. LDA demonstrated the relevance of studying least abundant microbial communities to find specific microbial communities that were characteristic of each studied health condition. Conclusions: Gut microbiota was different at family and genus taxonomic levels among controls, MetS, and T2DM study groups within children from 7 to 17 years old, and some communities seemed to be correlated with relevant subjects' metadata. LDA helped to find potential microbial biomarkers, providing new insights regarding pediatric gut microbiota and its possible use in the future development of gut microbiome-based predictive algorithms. [ABSTRACT FROM AUTHOR]

Objective: Many non-occupational and occupational metabolic syndrome risk factors have been identified. In this study, we examined some occupational risk factors of metabolic syndrome. Methods: 3537 employees of Tehran University of Medical Sciences, (1388 male and 2139 female) participated in this cross-sectional study. The prevalence of metabolic syndrome was measured using the International Diabetes Federation criteria, and then we evaluated the association between some job variables such as work-family conflict, shift working, occupational groups and employment status, and metabolic syndrome. Result: According to the International Diabetes Federation criteria, the prevalence of metabolic syndrome among employees of Tehran University of Medical Sciences was 22.1%, which was 25.3% and 20.0% for men and women, respectively. In the regression model without the presence of metabolic syndrome component, age, occupational groups, and having a permanent job were predictors of metabolic syndrome. In the model with the presence of metabolic syndrome components, in addition to the metabolic syndrome components, gender and having a permanent job were observed as metabolic syndrome predictors. The study found no association between work-family conflict and metabolic syndrome. Conclusion: Having a permanent job is introduced as an occupational predictor of metabolic syndrome. [ABSTRACT FROM AUTHOR]

Aims: To conduct a systematic review of the literature on the scientific evidence of the oral intake of omega-3 and omega-6 FAs and metabolic syndrome (MS) in adolescents.Data Synthesis: The study was registered in PROSPERO (number 42020185370). Studies were carried out with adolescents aged 10-19 years, who presented as intervention/exposure the oral intake of omega-3 and/or omega-6 fatty acids (FAs), in the databases PubMed, Scopus, Web of Science, LILACS, CENTRAL, and PQDT Global e BDTD. The tools used to assess the risk of bias were RoB 2.0, Agency for Healthcare Research and Quality (AHRQ), and Newcastle-Ottawa Scale. Fifteen papers retrieved published from 2010 to 2019 were included (n = 3534); nine were randomized studies and controlled clinical trials, four were cross-sectional studies, one was a retrospective cohort study, and one case-control study. No studies have evaluated the effect or association of omega-3 and/or of omega-6 FAs with actual MS, only with its components. The randomized clinical trials identified the effects of omega-3 FA on the decrease in blood pressure (n = 1 out of six), glycemia (n = 2 out of seven), and triglycerides (n = 5 out of eight), and the increase in HDL-c (n = 2 out of eight) considering the comparison between the group that received omega-3 FA and the control group.Conclusions: Scientific evidence is controversial on the association between oral intake of omega-3 FAs and MS in adolescents, due to the heterogeneity between studies and the divergence of results for the same MS component. [ABSTRACT FROM AUTHOR]

Background This study aims to verify the association between neck circumference (NC) and metabolic syndrome and establish NC cut-off points to predict metabolic syndrome. Methods Weight, height, NC, waist circumference, body mass index, fasting plasma glucose, HDL cholesterol, triglycerides and blood pressure were measured in a cross-sectional and population-based study with 966 adults. The association between NC and the burden of metabolic syndrome disease was evaluated by multinomial logistic regression. Receiver operating characteristic curves were used to acquire gender-specific cut-off values and predict metabolic syndrome. The NC is a simple anthropometric measurement, has low evaluation costs, can estimate the subcutaneous fat in the upper body and is related to cardiometabolic risks. Results NC is an independent predictor of metabolic syndrome burden with high association to women. The syndrome components stratification indicated that the NC of individuals with one component was lower than those with three or more (P  = 0.001). Metabolic syndrome prediction cut-off point was a NC of 39.5 cm for men and 33.3 cm for women. Conclusions Increased NC was associated with higher metabolic syndrome risks. This anthropometric parameter can be used as an additional marker for screening cardiovascular risk diseases. [ABSTRACT FROM AUTHOR]

Objective: There is a rise in overweight and obesity among children and adolescents with type 1 diabetes (T1D) in parallel with the rise in the metabolic syndrome (MetS) among children and adolescents. The aim of the study was to describe the prevalence and characteristics of MetS in children and adolescents with T1D compared to their healthy counterparts. Research Design and Methods: The study includes two Danish cohorts; (i) the Copenhagen cross sectional cohort 2016 of 277 children and adolescents with T1D that attend the pediatric outpatient clinic at a large hospital in greater Copenhagen and (ii) the CHAMPS‐study DK which is a population‐based cohort study of Danish children and adolescents (control cohort). Participants were categorized to have MetS if at least two of the following criteria were met: (i) systolic and/or diastolic blood pressure ≥ 90th percentile, (ii) waist circumference ≥90th percentile, and (iii) triglyceride ≥90th percentile and/or HDL ≤10th percentile. Results: The prevalence of children with Mets in the T1D cohort was higher than in the control cohort (p = 0.002). Moreover, participants with T1D had MetS at a lower level of BMI (p < 0.001) and waist circumference (p < 0.001) than participants with MetS from the control cohort (z‐scores = 0.90 and 1.51). Participants with MetS were younger than the other T1D participants (median 12.8 [9.9,14.8] vs. median 14.6 [11.2,16.9] years, p = 0.006). Conclusions: Children and adolescents with T1D have an increased risk of MetS compared to healthy controls and clinicians and caretakers should consider early prevention and health promotion strategies. [ABSTRACT FROM AUTHOR]

Aim: To study if statins, a widely prescribed, inexpensive medication to prevent coronary artery diseases may cause insulin resistance (IR). Methods: Fasted (HOMA‐IR) and post‐meal insulin resistance were assessed in 21 pre‐diabetic hypercholesterolemic individuals treated with statins (STA trial). Measurements were compared to another trial conducted 96 h after statin withdrawal using placebo pills (PLAC trial). Trials were duplicated 16–18 h after a bout of moderate‐intensity exercise (500 kcal of energy expenditure) to reduce IR and better appreciate statin effects (EXER+STA and EXER+PLAC trials). Results: Statin withdrawal did not affect fasting (HOMA‐IR; 2.35 ± 1.05 vs. 2.18 ± 0.87 for STA vs. PLAC trials; p = 0.150) or post‐meal insulin resistance (i.e., Matsuda‐index, STA 6.23 ± 2.83 vs. PLAC 6.49 ± 3.74; p = 0.536). A bout of aerobic exercise lowered post‐meal IR (p = 0.043), but statin withdrawal did not add to the exercise actions (p = 0.564). Statin withdrawal increased post‐meal plasma free glycerol concentrations (0.136 ± 0.073 vs. 0.185 ± 0.090 mmol·L−1 for STA vs. PLAC trials; p < 0.001) but not plasma free fatty acids or fat oxidation (p = 0.981, and p = 0.621, respectively). Post‐meal fat oxidation was higher in the exercise trials (p = 0.002). Conclusions: Withdrawal of statin medication does not affect fasting or post‐meal insulin resistance in pre‐diabetic hypercholesterolemic individuals. Furthermore, statin use does not interfere with the beneficial effects of exercise on lowering IR. [ABSTRACT FROM AUTHOR]

Objective To investigate the association between gallstones (GS) and metabolic syndrome (MS) in southern Xinjiang, China, and to provide experience for the prevention and control of metabolic diseases in southern Xinjiang. Methods The patients with GS who visited First Division Hospital, Second Division Korla Hospital, and Third Division Hospital of Xinjiang Production and Construction Corps from March 2015 to March 2019 were enrolled as case group, and cluster sampling was used to select the individuals who underwent physical examination in Third Division 51st Regiment Hospital during the same period of time were enrolled as control group. According to inclusion and exclusion criteria, 1140 cases were enrolled in each group after 1∶ 1 matching based on age and sex. The t-test was used for comparison of continuous data between two groups, and the chi-square test was used for comparison of categorical data between two groups; a logistic regression analysis was used to investigate the influencing factors for GS. Dummy variables were included by logistic regression to evaluate multiplicative interaction between MS components, and the parameter estimate and covariance matrix of the logistic regression model and interaction calculation table were used to calculate and evaluate additive interaction between MS components. Results The risk of GS in MS patients was 2.33 times that in non-MS patients (odds ratio [OR]=2.33, 95% confidence interval [CI]: 1.86-2.92). In addition, the components of MS also increased the risk of GS, including blood glucose (OR=2.94, 95%CI: 2.36-3.68), blood pressure (OR=1.50, 95%CI: 1.26-1.80), blood lipids (OR=1.48, 95%CI: 1.25-1.75), and body mass index (OR=1.44, 95%CI: 1.21-1.70). After adjustment for multiple factors, the risk of GS gradually increased with the increase in the number of metabolic abnormalities, i.e., one abnormality (OR=1.55, 95%CI: 1.22-1.99), two abnormalities (OR=2.13, 95%CI: 1.66-2.72), three abnormalities (OR=3.48, 95%CI: 2.59-4.69), and four abnormalities (OR=4.65, 95%CI: 2.79-7.84). No additive or multiplicative interaction was found between MS components. Conclusion GS is closely associated with MS in southern Xinjiang, and the risk of GS gradually increases with the increase in MS components. No additive or multiplicative interaction is found between GS and MS components. [ABSTRACT FROM AUTHOR]

Background: Excess bodily iron content is commonly associated with obesity and metabolic associated medical conditions and is thought to lead to cardiovascular disease. The effect of Roux-en-Y gastric bypass (RYGB) on hepatic iron overload remains to be determined. Objective: To assess the evolution of histologically proven hepatic iron overload after RYGB. Methods: This is an exploratory historical cohort study in which 42 individuals who underwent RYGB, and then a second surgical procedure had paired liver biopsies collected. Hepatic iron overload and NAFLD features were assessed through histopathological examination. Biochemical iron metabolism parameters were also assessed. Results: The mean age at RYGB was 47 ± 10.2 years and 92.9% were female. The average time elapsed between RYGB and the second surgical procedure was 20.6 ± 15.4 months. The mean percentage of total weight loss between the two procedures was 26.7 ± 9.4%. Significant reductions in ferritin (220.8 ± 202.9 vs. 101.6 ± 116.7 ng/mL; p = 0.006), hemoglobin (13.7 ± 1.8 vs. 12.1 ± 2.6 g/dL; p = 0.01), and red blood cell count (4.7 ± 0.7 vs. 4.3 ± 0.5 106/mm3; p = 0.003) were observed, as well as reductions in the frequencies of steatosis (83.3% vs. 23.8%; p < 0.0001) and steatohepatitis (52.4% vs. 11.9%; p < 0.0001). The frequency of hepatic iron overload significantly decreased from 16.7 to 2.4% (p = 0.03). Conclusion: RYGB led to a significant decrease in hepatic iron overload, emerging as a possible therapeutical tool for this condition in individuals with obesity and dysmetabolic iron overload syndrome. [ABSTRACT FROM AUTHOR]