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Metabolic syndrome (MetS) is a cluster of metabolic disturbances increasing a risk of cardiovascular diseases and diabetes 2 types. The main features of MetS include atherogenic dyslipidemia, elevated blood pressure, insulin resistance and elevated glucose levels, a pro-thrombotic state, pro-oxidant and pro-inflammatory states. Excessive consumption of high caloric food and sedentary lifestyle followed by overweight and obesity, as well as aging and stresses are major contributing factors to the MetS development. MeS affects between 10 and 84% of adults depending on the used MetS criteria and increases significantly a risk of cardiovascular diseases, diabetes 2 type and kidney diseases. Patients with metabolic disorders like obesity, diabetes, cardiovascular, and liver disease may have a higher risk of infection of COVID-19 with significantly worse prognosis and outcomes in these patients. In recent years, the fruit fly, Drosophila melanogaster, has been actively used to study human metabolic disorders as a cost-effective and expedient model. Drosophila belongs to insects with full metamorphosis and its life cycle includes four developmental stages: embryo, larva, pupa, and adult flies. Each developmental stage has its own specific advantages and can be used to study metabolic homeostasis. Studies of metabolic disturbances in Drosophila and mammalian models along with humans have demonstrated that flies and small mammalian models have many similarities with humans in basic metabolic functions and share many molecular mechanisms which regulate these metabolic processes. In this paper, we describe the advantages and limitations of Drosophila models of metabolic syndrome and obesity in light of physiological and biochemical similarities and differences between insects and mammals.

Purpose. Metabolic syndrome (MetS) is characterized by a constellation of metabolic risk factors that consist of the following: atherogenic dyslipidemia, elevated blood pressure, elevated glucose associated with insulin resistance, prothrombotic state, and proinflammatory state. The objective of the study was to quantify the prevalence of MetS among college students and to determine whether fatness (body mass index [BMI] and waist circumference) or physical activity was more strongly associated with individual components of the MetS. Design. A cross-sectional study. Setting. Eau Claire, Wisconsin, United States. Subjects. Authors collected health history information and performed assessments of individual MetS components for 207 college students aged 18 to 24 years. Measures. Physical activity levels were self-reported, while direct measurements were obtained for MetS components (waist circumference, blood pressure, high-density lipoprotein (HDL)–cholesterol, triglycerides, blood glucose). Analysis. Descriptive statistics and multiple regression analysis. Results. The prevalence of MetS was found to be 6.8% according to the National Cholesterol Education Program Adult Treatment Panel III guidelines. The authors also found that 42.5% and 13.0% of our sample had one and two MetS components, respectively. Waist circumference was independently associated (p < .05) with HDL-cholesterol, triglycerides, and systolic blood pressure. Conclusion. Our findings provide evidence for the presence of MetS on college campuses. It also appears, in part, that central adiposity contributes to the high incidence of individual MetS components. Given the elevated lifetime risk for cardiovascular disease and lower survival for those with risk factors in young adulthood, there appears to be a need for primary prevention programs within university and college settings.

<p class="Pa7"><strong>Introduction: </strong>Sleep disturbance is a major public health issue and is comorbid with the cluster of conditions associated with meta­bolic syndrome (MetS). Our study explored the presence of sleep disturbance, including daytime sleepiness, the risk for obstructive sleep apnea (OSA), and insomnia symp­toms, in a cohort of adult Black men and women with MetS.</p><p class="Pa7"><strong>Methods: </strong>Patients (n=1,013) from the Met­abolic Syndrome Outcome Study (MetSO), 2009-2012, met criteria for MetS based on guidelines from the National Cholesterol Education Program's Adult Treatment Panel and provided sociodemographic data and the Apnea Risk Evaluation System (ARES) questionnaire to assess OSA risk, sleep char­acteristics, and physician-reported diagnosis of a sleep disorder.</p><p class="Pa7"><strong>Results: </strong>Prevalence of the components of MetS included: diabetes (60%); obesity (67%); hypertension (94%); and dyslip­idemia (74%). Based on the ARES, 49% were at risk for OSA. Of all study patients, slightly more than half (53%) reported feel­ing sleepy during the day, and 10% reported an insomnia diagnosis. The most common sleep disturbance reported by 46% of the patients was early morning awakenings (EMA). This was closely followed by 42% who reported difficulty staying asleep (DSA) and 38% reporting difficulty falling asleep (DFA). Seventy percent reported short sleep (≤ 6 hours), whereas a minority (19%) reported long sleep (≥ 9 hours). Only 12% used sleep aids. Women, compared with men, reported greater daytime sleepiness, greater DFA, and greater DSA (57% vs 45%; 41% vs 32.4%; 45% vs 37%), respectively.</p><p class="Default"><strong>Conclusion: </strong>Blacks with MetS reported insomnia symptoms and insomnia disor­der, use of sleep aids, feeling sleepy during the day, and inadequate sleep durations. The presence of these sleep characteristics suggests that patients with MetS should be referred for further sleep assessment. <em></em></p><p class="Default"><em>Ethn Dis. </em>2018;28(3):193-200; doi:10.18865/ ed.28.3.193</p>

Introduction: The metabolic syndrome consists of a set of factors that, when associated, are associated with a higher risk of developing cardiovascular diseases and type 2 diabetes, and is thus an important public health problem. The objective of this study was to estimate the prevalence of this syndrome in the Portuguese population, and to evaluate possible associations with demographic and socioeconomic determinants. Material and Methods: Based on the 1st National Health Survey with Physical Examination of 2015, a cross-sectional epidemiological study was conducted on a representative sample of the Portuguese population (n = 4797) aged between 25 and 74 years old. The prevalence was estimated for the total population and each gender, stratified by age group, health region, type of urban area, marital status, education, professional status, and risk of poverty. The magnitude of the associations was measured with adjusted prevalence ratios. Results: In the Portuguese population the estimated prevalence was 33.4% [95% CI, 31.7 - 35.1] [35.6% in men (95% CI, 31.9 - 39.2) and 31.3% in women (95% CI, 28.5 - 34.2)]. In both genders, the highest prevalence was significantly associated with increasing age, widowed/married/de facto partners and those with lower levels of education. There was no association with gender, health region, type of urban area, professional status or risk of poverty. Discussion: This syndrome was present in a third of the Portuguese population. The knowledge of its epidemiology enables the identification of population groups with higher cardiovascular and metabolic risk. Conclusion: Metabolic syndrome was independently associated with specific groups. This knowledge reinforces the importance of a holistic assessment of the health determinants associated with the metabolic syndrome.

AbstractThe aim of this study is to characterize the relationship between major depression and the metabolic syndrome in a large community based sample of Australian men and women aged 26–90 years. A lifetime history of major depression was assessed by telephone interview following the DSM–III-R. A current history of metabolic syndrome was assessed following the United States National Cholesterol Education Program Adult Treatment Panel III (NCEP AP-III) guidelines 1 to 3 years later. Logistic regression was used to estimate the association between depression and the metabolic syndrome, and its component criteria, controlling for age, sex and alcohol dependence. There was no association between a lifetime history of major depression and the presence of the metabolic syndrome. There was a weak association between depression and low high-density lipoprotein cholesterol but not with other component criteria of the metabolic syndrome. Despite calls for interventions directed at depression to reduce the onset of the metabolic syndrome there are important failures to replicate in large samples such as this, no consensus regarding the threshold at which depression may pose a significant risk even allowing for heterogeneity across populations, and no consensus regarding confounders that may explain inter-study differences. The absence of any dosage effect of depression on the associated risk for the metabolic syndrome in other unselected samples does not support a direct causal relationship. The call for intervention studies on the basis of the currently published evidence base is unwarranted.

Metabolic syndrome (MetS) is a pathologic multifaceted condition characterized by elevated triacylglycerides, decreased high density lipoproteins, insulin resistance, increased blood pressure and fasting glucose. Together these abnormalities increase a risk of cardiovascular diseases and type 2 diabetes mellitus. Overnutrition and sedentary lifestyle followed by overweight and obesity are the main contributing factors to MetS development. The pathogenesis of MetS is very complex and not fully elucidated. The studies support the concept of oxidant/antioxidant imbalance and low-grade inflammation playing main roles in its manifestations. Diagnosis with MetS and the development of MetS complications can be detected and monitored via specific serum biomarkers. In this paper, we describe classical metabolic, hormonal and pro-/anti-inflammatory markers which are the most frequently used for MetS diagnostic and research. They include serum lipid profile (triacylglycerides, total cholesterol, low and high density lipoproteins), blood pressure, fasting glucose and HOMA-IR index, levels of anti-inflammatory adiponectin, pro-inflammatory C-reactive protein and cytokines (TNF-α, IL-1β, IL-6, etc.). We also analyze advantages of additional criteria such as levels of oxidative damages, appetite hormones (leptin, ghrelin), apolipoproteins and oxylipins, the composition of gut microbiota and levels of microbiome-derived metabolites, the ratios between different parameters as helpful biomarkers of MetS and concomitant cardiovascular diseases.

Obesity is an excessive adipose tissue accumulation that may have detrimental effects on health. Particularly, childhood obesity has become one of the main public health problems in the 21st century, since its prevalence has widely increased in recent years. Childhood obesity is intimately related to the development of several comorbidities such as nonalcoholic fatty liver disease, dyslipidemia, type 2 diabetes mellitus, non-congenital cardiovascular disease, chronic inflammation and anemia, among others. Within this tangled interplay between these comorbidities and associated pathological conditions, obesity has been closely linked to important perturbations in iron metabolism. Iron is the second most abundant metal on Earth, but its bioavailability is hampered by its ability to form highly insoluble oxides, with iron deficiency being the most common nutritional disorder. Although every living organism requires iron, it may also cause toxic oxygen damage by generating oxygen free radicals through the Fenton reaction. Thus, iron homeostasis and metabolism must be tightly regulated in humans at every level (i.e., absorption, storage, transport, recycling). Dysregulation of any step involved in iron metabolism may lead to iron deficiencies and, eventually, to the anemic state related to obesity. In this review article, we summarize the existent evidence on the role of the most recently described components of iron metabolism and their alterations in obesity. ; This research was funded by Spanish Government through the Carlos III Health Institute (Sanitary Research Fund (FIS)), code PI18/01316. A G-D is supported by an intramural grant from the Biomedical Research and Innovation Institute of Cádiz (INiBICA), code LII19/16IN-CO24. ; Yes

Background: The prevalence of hyperuricemia has increased overtime globally. Moreover, it has been linked with several metabolic syndromes. A study in Depok City and Denpasar showed prevalence of hyperuricemia were up to 18.6% and 18.2%, respectively. Urban lifestyle has been proposed to contribute for hyperuricemia; however, there is no published study conducted in rural population yet. Therefore, we performed this study to evaluate the prevalence and metabolic syndromes profile of hyperuricemic patients in rural area. Methods: A cross sectional study was conducted at regional government hospital in North Kayong Regency, West Kalimantan. We retrieved all complete internal medicine outpatient data between October and December 2018. All non-pregnant, adult patients newly diagnosed with hyperuricemia or currently taking uric acid lowering drug were included in this study. Result: A total of 44 out of 121 subjects (36.36%) had hyperuricemia; 25 subjects (56.81%) were male and had median age of 53 years old. Mean level of serum uric acid was 8.30±1.77mg/dl. The metabolic syndrome profiles (diabetes mellitus, obesity, hypertension, hypercholesterolemia and hypertriglyceridemia) vary among subjects; ranging from 20.45% (hypertriglyceridemia) to 86.36% (hypertension). Conclusion: Hyperuricemia and its metabolic disorders are an emerging burden of disease in rural area in Indonesia.

<p class="Pa7">The prevalence of metabolic syndrome is increasing in African populations, and is particularly high in Black South African women (42%) vs women in the United Kingdom (23%) and the United States of America (36%). This population group is also known to have the highest prevalence of obesity in the sub-Saharan African region (42%), and consequently, a high risk of non-communicable diseases. In this article, we discuss factors (abdominal subcutane­ous fat, visceral fat, lean mass, adiponectin, leptin, vitamin D, smoking and menopausal status) that have been investigated for their possible association with metabolic syn­drome in African women, and discuss some recommendations for management of the syndrome. In particular, the infrastructural development of HIV/AIDS clinics in South Africa provides an ideal integrated platform to cater to the treatment needs of patients with multiple chronic morbidities. <em></em></p><p class="Pa7"><em>Ethn Dis. </em>2017(27):189-200; doi:10.18865/ed.27.2.189</p><p><br /><strong> </strong></p>

"The prevalence of metabolic syndrome is increasing worldwide and has become a risk factor for the development of chronic kidney disease. The complex linkage between metabolic syndrome and chronic kidney disease is under research and the factors involved beyond the biological pathogenesis include demographic, sociological and psychological factors that are related to the metabolic syndrome prevalence. The social context of disease causation is as relevant to today's clinical scientist and practitioner as biomarker-directed risk stratification and therapy. The aim of this review is to compare the criteria for diagnosis among different international health organizations, identifying all factors that contribute to the development of this association between metabolic syndrome and chronic kidney disease, and categorizing them by those that could be useful for preventive strategies. In addition, patients with metabolic syndrome have microvascular disease characterized by microalbuminuria, decreased glomerular filtration rate, tubular atrophy, interstitial fibrosis, and glomerulosclerosis. These effects may be due to insulin resistance, hypertension, dyslipidemias, activation of inflammatory processes, fibrotic, dysbiosis and generation of oxidative stress; which cause an imbalance in the main vasoactive factors and thus endothelial dysfunction, deteriorating the renal function. Furthermore, since unhealthy eating habits and a sedentary lifestyle are among the strongest risk factors related to these diseases, lifestyle interventions programs have been recommended for facilitating positive changes in behavior at the individual level. However, further research is needed to promote multiple social, economic and political transformations, shifting the intervention emphasis from individual education, counseling, regimens and medications to community, national and global institutions."