Components Of Metabolic Syndrome Research Articles

Obesity as a main component of metabolic syndrome and a risk factor for comorbidity

Obesity is an important medical and social problem, it occupies one of the leading places among cardiovascular risk factors. Obesity is a major component of the metabolic syndrome. It has a close pathogenetic relationship with its other manifestations, as a result of which a portrait of a comorbid patient is formed. The article presents data on the prevalence, criteria for diagnosing obesity, the relationship of obesity with other components of the metabolic syndrome is shown. The role of adipose tissue dysfunction in obesity on the development and progression of insulin resistance, atherosclerosis, as well as its relationship with non-alcoholic fatty liver disease and arterial hypertension is discussed. It is shown that obesity is a comorbidity factor and the basis of the metabolic syndrome, the leading pathogenetic mechanism in the formation and progression of its components, preceding their occurrence. This allows us to conclude that weight loss can reduce cardiovascular risks, reduce the manifestations of the metabolic syndrome, and in some cases even eliminate them completely.

The Association Between Components of Metabolic Syndrome and Abnormal Electrocardiograms in the Saudi Population: A Retrospective Study.

Saudi Arabia has a high metabolic syndrome (MetS) prevalence. Having MetS increases the risk of cardiovascular disease (CVD), CVD mortality, and myocardial infarction (MI). There is a lack of information regarding MetS and electrocardiogram (ECG) abnormalities in Saudi Arabian populations. Further, it is unclear to what extent MetS components are associated with abnormal ECGs in Saudi populations. We investigated whether ECG abnormalities and MetS are associated with Saudi adults. Furthermore, we assessed the relationship between ECG abnormalities and the components of MetS based on the age and gender of the individuals. Materials and methods: A retrospective study was conducted at Dr Soliman Fakeeh Hospital in Jeddah, Saudi Arabia, on 208 patients with MetS. Participants' clinical and laboratory data were examined. A detailed analysis of the ECG was performed. ECG abnormalities were divided into minor and major abnormalities based on Novacode criteria. In addition to ischemic ECG findings, the ECG showed prolonged PR intervals, prolonged P duration, prolonged QRS duration, and prolonged QTc intervals. Results: One hundred and thirty-seven participants (65.9%) had elevated fasting blood glucose (FBS), 129 had central obesity (62%), 93 had high blood pressure (BP) (44.7%), 74 had elevated triglycerides (35.6%), and 49 had low high-density lipoprotein (23.6%).An abnormal ECG was found in 86 (41.3%) participants. It consisted of ischemic ECGs, atrioventricular (AV) block (first and second degrees), bundle branch block (right bundle branch block [RBBB], left bundle branch block [LBBB], RBBB with left anterior hemiblock, RBBB with right anterior hemiblock), arrhythmias (premature ventricular contractions [PVCs], premature atrial complexes [PACs], atrial fibrillation [AF], sinus bradycardia, sinus arrhythmia), prolonged QTc, prolonged PR interval, and prolonged QRS duration. There were 29 (13.9%) cases with multiple ECG abnormalities, 57 (27.4%) had one abnormal ECG, 42 (20.2%) had minor abnormal ECGs, and 44 (21.2%) had major abnormal ECGs. Middle-aged and elderly males accounted for the majority of these ECG changes. In the central obesity group, 22 participants (10.6%) had ischemic ECGs, 18 (8.7%) had prolonged QTc, 10 (4.8%) had first-degreeAV block, 6 (2.9%) had sinus bradycardia, 7 (3.4%) had RBBB, 4 (1.9%) had LBBB, 3 (1.4%) had PVCs, 2 (1%) had ventricular preexcitation, and one (0.5%) had PACs. An elevated FBS group included 19 participants (9.1%) with an ischemic ECG, 18 (8.7%) with a prolonged QTc, 11 (5.3%) with a first-degreeAV block, 9 (4.3%) with sinus bradycardia, 6 (2.9%) with slight ST-T abnormality, 5 (2.4%) with RBBB, and 5 (2.4%) with LBBB. Finally, one (0.5%) of these patients had second-degreeAV block, RBBB with left anterior hemiblock, left anterior hemiblock, PVCs, AF, ventricular preexcitation, and sinus arrhythmia for each. Saudi Arabian populations with MetS were strongly associated with abnormal ECG findings, particularly ischemic ECG findings, AV block (firstand second degrees), and BBB (RBBB, LBBB). Middle-aged and elderly males accounted for the majority of these ECG changes. The most important factors contributing to ECG changes were elevated FBS and central obesity.

Impact of age and gender differences in the prevalence and patterns of multimorbidity in the Thai Cohort Study.

The study aims to identify the common patterns of multimorbidity and their distribution by age and gender. This cross-sectional study collected self-reported data from 42 785 Thai Cohort Study members through mailed questionnaires. Employing prevalence-based analysis, it identified common multimorbidity (coexistence of two or more chronic conditions) patterns, analysing the three most common patterns stratified by age and sex. P for trend (p-trend) was used to test the linear trend for associations between age and prevalence of these chronic conditions in the multimorbidity patterns. Chronic conditions with the highest prevalence were related to metabolic syndromes: obesity (28.5%), hyperlipidaemia (13.2%) and hypertension (7.2%). A positive linear age-multimorbidity association was observed (p-trend = 0.0111). The 60+ participants averaged 1.20 diseases, with 33.7% multimorbidity prevalence. Hyperlipidaemia + obesity was most prevalent in the under-40 multimorbid group (38.7%). Men exhibited a higher prevalence of multimorbidity and associated patterns involving hypertension, hyperlipidaemia and obesity than women. Metabolic syndrome components were the prominent factors driving multimorbidity. Significant age and gender differences were also revealed in multimorbidity prevalence. People aged 60+ faced high risk of multimorbidity, while younger individuals tended towards the multimorbidity pattern of obesity and hyperlipidaemia. Men were more susceptible to multimorbidity patterns associated with metabolic syndromes. Future studies for metabolic-related multimorbidity should consider these differences, addressing age and gender issues.

Ethnic variations in metabolic syndrome components and their associations with the gut microbiota: the HELIUS study

BackgroundThe occurrence of metabolic syndrome (MetS) and the gut microbiota composition are known to differ across ethnicities yet how these three factors are interwoven is unknown. Also, it is unknown what the relative contribution of the gut microbiota composition is to each MetS component and whether this differs between ethnicities. We therefore determined the occurrence of MetS and its components in the multi-ethnic HELIUS cohort and tested the overall and ethnic-specific associations with the gut microbiota composition.MethodsWe included 16,209 treatment naïve participants of the HELIUS study, which were of Dutch, African Surinamese, South-Asian Surinamese, Ghanaian, Turkish, and Moroccan descent to analyze MetS and its components across ethnicities. In a subset (n = 3443), the gut microbiota composition (16S) was associated with MetS outcomes using linear and logistic regression models.ResultsA differential, often sex-dependent, prevalence of MetS components and their combinations were observed across ethnicities. Increased blood pressure was commonly seen especially in Ghanaians, while South-Asian Surinamese and Turkish had higher MetS rates in general and were characterized by worse lipid-related measures. Regarding the gut microbiota, when ethnic-independent associations were assumed, a higher α-diversity, higher abundance of several ASVs (mostly for waist and triglyceride-related outcomes) and a trophic network of ASVs of Ruminococcaceae, Christensenellaceae, and Methanobrevibacter (RCM) bacteria were associated with better MetS outcomes. Statistically significant ethnic-specific associations were however noticed for α-diversity and the RCM trophic network. Associations were significant in the Dutch but not always in all other ethnicities. In Ghanaians, a higher α-diversity and RCM network abundance showed an aberrant positive association with high blood pressure measures compared to the other ethnicities. Even though adjustment for socioeconomic status-, lifestyle-, and diet-related variables often attenuated the effect size and/or the statistical significance of the ethnic-specific associations, an overall similar pattern across outcomes and ethnicities remained.ConclusionsThe occurrence of MetS characteristics among ethnicities is heterogeneous. Both ethnic-independent and ethnic-specific associations were identified between the gut microbiota and MetS outcomes. Across multiple ethnicities, a one-size-fits-all approach may thus be reconsidered in regard to both the definition and/or treatment of MetS and its relation to the gut microbiota.

Abstract P375: Cardiometabolic Risk Factors and Socioeconomic Status Indices in Young Adults in Latin America: A Systematic Review and Meta-Analysis of Observational Studies

Background: Metabolic syndrome components in children and adolescents have gained attention in low- and middle-income countries due to variability in their effects and measures across socioeconomic status (SES) determinants. Socioeconomic disparities have been studied related to health, and this fact still poses a serious challenge that raises concerns, especially in low-and middle-income countries, where the classification of the population relies on different determinants from wealthier countries. We conducted a systematic review and meta-analysis to illustrate the effects of measures of metabolic syndrome components across SES in Latin American (LA) young adults. Methods: We searched PubMed/MEDLINE, Web of Science, Lilacs (Bireme), Embase and Scopus for LA studies published before September 2023. Included studies were those with participants aged 6-19 years in whom metabolic syndrome (MS) components were analyzed across SES in LA. The quality of observational studies was assessed using the adapted New Castle Ottawa quality tool. Blood pressure, abdominal obesity, body mass index, body fat, glucose levels and insulin resistance data were synthesized, and a random effect model was used to measure the collective effect of overweight/obesity and lipid profile on higher SES levels compared with middle and low SES levels. The protocol of this review was registered with the International Prospective Register of Systematic Reviews database (registration number: CRD42020222378) and was developed following PRISMA statements. Results: Sixty-three eligible articles (n=255, 521 participants) from nine LA countries were selected. SES definitions were used in 41 studies from five countries with similar criteria. Obesity and overweight (odds ratio: 1.57, 95% confidence interval: 1.18-1.96) and altered lipid profiles were significantly associated with higher SES compared to lower SES. However, high-density lipoprotein-cholesterol levels were lower in patients with a lower SES. The heterogeneity observed could be explained by age, sex, nutrition patterns, standardized cardiometabolic measures, and temporally collected data due to rapid transitions in LA countries. Conclusions: Cardiometabolic components may be associated with higher SES in LA countries. As national SES definitions have been used around LA countries to classify populations, this definition needs to be standardized around LA countries to guide national programs to intensify cardiovascular health and prevent detrimental effects in young people.

Abstract P114: Micro RNAs Associated With Clinical Classifiers of Gender, Race and Ethnicity in the Diabetes Prevention Program

Introduction: Metabolic syndrome (MetS) is a prominent risk factor for both cardiovascular disease (CVD) and type 2 diabetes (T2D). MicroRNAs (miRs) are small noncoding RNA molecules that target messenger RNAs to alter gene expression. Circulating miRs have been studied as potential clinically meaningful biomarkers of risk for MetS as they are readily measured from blood. Though associations among MetS components and social constructs of race, ethnicity, and gender have previously been established, grouping according to these constructs alone may conflate genetic ancestry with the environmental/behavioral effects of being characterized as a particular gender, race, or ethnicity. The purpose of this study was to identify differences in circulating miRs associated with demographic factors and MetS components to better illuminate the nuanced health impacts of race, ethnicity and gender. Methods: This was a secondary analysis of a subset of participants (N=1000) from the Diabetes Prevention Program (DPP). A custom Fireplex assay was used to quantify miRs from banked plasma collected at baseline. Correlations between miRs and metabolic syndrome components were assessed by Pearson’s correlation coefficient. Multivariable linear models adjusted for age and weight were used to analyze associations between gender, race, ethnicity, and miR expression. The Benjamini-Hochberg false discovery rate (FDR) method was applied. Results: The sample was 68% female, 19% Black, 15% Hispanic, and mean age was 52 ± 10 years. After adjusting for multiple comparisons (FDR<0.05), female gender was positively associated with miRs 320c and 320a, and negatively associated with miR 122. Among 17 miRs associated with race and ethnicity, five (23a, 24, 27a, 92a, and 146a) had different directions of the race and ethnicity-miR associations across Black, Hispanic, and Other race and ethnic groups. Of the miRs significantly associated with gender, race, and ethnicity, 12 were significantly correlated with one or more component of MetS. Two miRs were significantly correlated with fasting glucose (22, 15a), four with HDL cholesterol (122, 23a, 22, 192), four with triglycerides (122, 106b, 22, 192), six with systolic blood pressure (122, 106b, 23a, 27a, 146a, 221), two with diastolic blood pressure (24, 27a), and seven with waist circumference (320c, 320a, 106b, 23a, 24, 27). Conclusions: Significant differences in the enrichment of MetS component-associated miRs were identified across gender, race, and ethnic groups. Obtaining a greater understanding of demographic differences in miRs may aid in measuring the relationship between constructs of race, ethnicity, and gender and clinical parameters, and potentially inform future studies of circulating miRs as quantifiable diagnostic, prognostic, and/or therapeutic biomarkers for the impacts of social determinants within the context of underlying genetic ancestry.

Role of Dietary Factors on DNA Methylation Levels of TNF-Alpha Gene and Proteome Profiles in Obese Men.

The participants were classified into the non-obese (N = 100) and obese (N = 133) groups. DNA methylation levels of the TNF-alpha gene and proteomics were analyzed using the pyrosequencing method and LC-MS-MS, respectively. Comparison between geometric means of DNA methylation of TNF-α showed lower levels in subjects with obesity than in those without obesity (p < 0.05). There were associations between dietary factors and some metabolic syndrome components and TNF-α DNA methylation levels. Proteomic analysis showed important signaling pathways related to obesity, with 95 significantly downregulated proteins and 181 upregulated proteins in the non-obese group compared with the obese group. This study shows an association between the dietary factors involved in the methylation of TNF-α and differential protein expression related to obesity. However, a large sample size in future studies is required to confirm our results.

Unraveling Light-Activated Insulin Action in Regulating Blood Glucose: New Photoactivatable Insight as a Novel Modality in Diabetes Management.

Diabetes, particularly type 2 diabetes (T2D), is the main component of metabolic syndrome. It is highly prevalent and has drastically increased with sedentary lifestyles, notably behaviors linked to ease of access and minimal physical activity. Central to this condition is insulin, which plays a pivotal role in regulating glucose levels in the body by aiding glucose uptake and storage in cells, and what happens to diabetes? In diabetes, there is a disruption and malfunction in insulin regulation. Despite numerous efforts, effectively addressing diabetes remains a challenge. This article explores the potential of photoactivatable drugs in diabetes treatment, with a focus on light-activated insulin. We discuss its advantages and significant implications. This article is expected to enrich the existing literature substantially, offering a comprehensive analysis of potential strategies for improving diabetes management. With its minimal physical intrusion, light-activated insulin promises to improve patient comfort and treatment adherence. It offers precise regulation and localized impact, potentially mitigating the risks associated with conventional diabetes treatments. Additionally, light-activated insulin is capable of explicitly targeting RNA and epigenetic factors. This innovative approach may pave the way for more personalized and effective diabetes treatments, addressing not only the symptoms but also the underlying biological causes of the disease. The advancement of light-activated insulin could revolutionize diabetes management. This study represents a pioneering introduction to this novel modality for diabetes management.

Metabolic Crossroads: Unveiling the Complex Interactions between Obstructive Sleep Apnoea and Metabolic Syndrome.

Obstructive sleep apnoea (OSA) and components of metabolic syndrome (MetS) are inextricably connected. Considering the increasing burden of MetS and OSA, in the present review, we aimed to collate and summarise the potential pathophysiological mechanisms linking these pathologies. In short, obesity appears to promote OSA development via multiple pathways, some of which are not directly related to mass but rather to metabolic complications of obesity. Simultaneously, OSA promotes weight gain through central mechanisms. On the other hand, diabetes mellitus contributes to OSA pathophysiology mainly through effects on peripheral nerves and carotid body desensitization, while intermittent hypoxia and sleep fragmentation are the principal culprits in OSA-mediated diabetes. Apart from a bidirectional pathophysiological relationship, obesity and diabetes mellitus together additively increase cardiovascular risk in OSA patients. Additionally, the emergence of new drugs targeting obesity and unequivocal results of the available studies underscore the need for further exploration of the mechanisms linking MetS and OSA, all with the aim of improving outcomes in these patients.

Associations Between Obesity-Related Gene MC4R rs17782313 Locus Polymorphism and Components of Metabolic Syndrome: A Systematic Review and Meta-Analysis.

Objective: It is well established that melanocortin-4 receptor (MC4R) rs17782313 locus polymorphism is associated with increased obesity risk and that obesity is strongly associated with an enhanced risk of all metabolic syndrome (MS) components. Thus, in this study, we examined the association between the MC4R rs17782313 locus polymorphism and the risk of the remaining MS components, namely, diabetes, hypertension, low high-density lipoprotein (HDL), and hypertriglyceridemia. Methods: We performed an extensive literature screening across six scientific databases, namely, PubMed, Embase, Web of Science, Medline, ScienceDirect, CNKI, and WanFang employing a specific search strategy. Eligible studies were selected for inclusion in our meta-analysis, and odds ratio (OR) values and 95% confidence interval (CI) were computed through fixed- or random-effects models to examine correlation strength. In addition, we performed subgroup analyses involving adjustment factors (unadjusted body mass index [BMI], adjusted BMI), race (Caucasian, Asian), and source of controls (population, hospital). Results: Twenty-two eligible studies were selected from 846 articles, involving 28,018 patients and 98,994 normal participants. Based on this meta-analysis, the MC4R rs17782313 locus polymorphism was associated with an augmented risk of diabetes (allele contrast model T vs. C: OR = 1.05, 95% CI = 1.03-1.08; dominant model TT vs. TC + CC: OR = 1.07, 95% CI = 1.03-1.11) and hypertension (dominant model TT vs. TC + CC: OR = 1.16, 95% CI = 1.03-1.31) risk. However, based on this analysis, the MC4R rs17782313 locus polymorphism was not associated with low HDL and hypertriglyceridemia risk. Conclusions: Based on this analysis, the MC4R rs17782313 locus polymorphism is associated with enhanced risks of diabetes and hypertension, while the associations with low HDL and hypertriglyceridemia require further exploration.

Myocardial mechano-energetic efficiency is not impaired in patients with metabolically healthy overweight and obesity.

Reduced myocardial mechano-energetic efficiency (MEE) was associated with BMI. Subgroups of individuals with increased BMI but favorable cardiovascular risk profile were identified as individuals with "metabolically healthy overweight" (MHOW) and "metabolically healthy obesity" (MHO), respectively. We aim to investigate whether those with MHOW/MHO, defined as those having none of the components of metabolic syndrome, exhibit impaired MEE compared with their unhealthy counterparts. Myocardial MEE per gram of left ventricular mass (MEEi) was assessed by echocardiography in 2190 nondiabetic individuals participating in the CATAnzaro MEtabolic RIsk factors (CATAMERI) study who were divided, according to BMI and metabolic status, into groups of individuals with metabolically healthy normal weight (MHNW), metabolically unhealthy normal weight (MUNW), MHOW, metabolically unhealthy overweight (MUOW), MHO, and metabolically unhealthy obesity (MUO). After adjusting for age and sex, no differences in myocardial MEEi were observed among individuals with MHNW, MHOW, and MHO (p = 0.56). Myocardial MEEi was comparable among individuals with MUNW, MUOW, and MUO (p = 0.21). Individuals with MHNW, MHOW, and MHO displayed significantly higher myocardial MEEi compared with their unhealthy counterparts. Increased BMI is not an obligate determinant for reduced myocardial MEEi. Other known components of metabolic syndrome rather than increased BMI contributed to reduced myocardial MEEi.

Circadian Syndrome Is Associated with Dietary Patterns among Middle-Older Americans: The Health and Retirement Study.

Population aging is a global demographic characteristic of the 21st century, and healthy eating is a core component of healthy aging. However, limited evidence is available among older adults for associations between diet quality and circadian syndrome (CircS). Thus, this study examined associations between dietary patterns and CircS among a representative sample of middle-older adults in the US. The sample comprised middle-older adults enrolled in the 2016 core wave of the Health and Retirement Study (HRS) and one of its sub-studies, the 2013 Health Care and Nutrition Study (HCNS). A food frequency questionnaire was used to quantify habitual food intake and identify dietary patterns using a factor analysis. CircS was defined based on the existence of ≥4 components of metabolic syndrome and indicators of sleep disorders and depression. A total of 4253 middle-older adults with a mean age (SD) of 65.4 (10.0) years were included in the study. The prevalence of CircS was 35.9%. Comparing extreme quartiles of the "Prudent Pattern", the odds ratio (95% CI) for CircS was 0.72 (0.55-0.94), and it was 1.47 (1.10-1.95) for the "Western Pattern". The "Western Pattern" was positively associated while the "Prudent Pattern" was inversely associated with the odds of CircS among middle-older adults.

Associations between unilateral amblyopia in childhood and cardiometabolic disorders in adult life: a cross-sectional and longitudinal analysis of the UK Biobank

Amblyopia is a common neurodevelopmental condition and leading cause of childhood visual impairment. Given the known association between neurodevelopmental impairment and cardiometabolic dysfunction in later life, we investigated whether children with amblyopia have increased risk of cardiometabolic disorders in adult life. This was a cross-sectional and longitudinal analysis of 126,399 United Kingdom Biobank cohort participants who underwent ocular examination. A subset of 67,321 of these received retinal imaging. Data analysis was conducted between November 1st 2021 and October 15th 2022. Our primary objective was to investigate the association between amblyopia and a number of components of metabolic syndrome and individual cardiometabolic diseases. Childhood amblyopia, dichotomised as resolved or persisting by adulthood, cardiometabolic disease and mortality were defined using ophthalmic assessment, self-reported, hospital admissions and death records. Morphological features of the optic nerve and retinal vasculature and sublayers were extracted from retinal photography and optical coherence tomography. Associations between amblyopia and cardiometabolic disorders as well as retinal markers were investigated in multivariable-adjusted regression models. Individuals with persisting amblyopia (n=2647) were more likely to be obese (adjusted odds ratio (95% confidence interval): 1.16 (1.05; 1.28)), hypertensive (1.25 (1.13; 1.38)) and diabetic (1.29 (1.04; 1.59)) than individuals without amblyopia (controls, (n=18,481)). Amblyopia was also associated with an increased risk of myocardial infarction (adjusted hazard ratio: 1.38 (1.11; 1.72)) and death (1.36 (1.15; 1.60)). On retinal imaging, amblyopic eyes had significantly increased venular caliber (0.29 units (0.21; 0.36)), increased tortuosity (0.11 units (0.03; 0.19)), but lower fractal dimension (-0.23 units (-0.30;-0.16)) and thinner ganglion cell-inner plexiform layer (mGC-IPL,-2.85 microns (-3.47;-2.22)). Unaffected fellow eyes of individuals with amblyopia also had significantly lower retinal fractal dimension (-0.08 units (-0.15;-0.01)) and thinner mGC-IPL (-1.14 microns (-1.74;-0.54)). Amblyopic eyes with a persisting visual deficit had smaller optic nerve disc height (-0.17 units (-0.25;-0.08)) and width (-0.13 units (-0.21;-0.04)) compared to control eyes. Although further research is needed to understand the basis of the observed associations, healthcare professionals should be cognisant of greater cardiometabolic dysfunction in adults who had childhood amblyopia. Differences in retinal features in both the amblyopic eye and the unaffected non-amblyopic suggest generalised versus local processes. Medical Research Council (MR/T000953/1) and the National Institute for Health and Care Research.

Blood pressure response to extended-release naltrexone in heroin and prescription opioid users and its implications for cardiovascular morbidity

Background Consuming opioid agonists is a risk factor for cardiovascular disease particularly in intravenous heroin users. The monthly injectable extended-release opioid antagonist, naltrexone (XR-NTX) is an effective treatment for opioid use disorder. The impact of opioid receptor blockade through XR-NTX on blood pressure, a critical risk factor for cardiovascular morbidity, has not yet been characterized. Methods The study evaluated the change in blood pressure during XR-NTX treatment among 14 patients who predominately used intravenous heroin and 24 patients who used prescription oral opioids, all with opioid use disorder. Blood pressure was measured in each patient immediately before the first XR-NTX injection and ∼two weeks after the first injection. The change in diastolic and systolic pressure was compared between the heroin users and the prescription opioids users using analysis of variance. Results XR-NTX treatment was associated with significant decreases in diastolic blood pressure in the heroin group, but not in the prescription opioids group. Systolic blood pressure values in the heroin users showed a decline at trend level only. Conclusions Further research is warranted to replicate our findings and to determine whether XR-NTX effect is relatively specific to blood pressure or generalizes to other components of metabolic syndrome. Distinguishing between heroin and prescription opioid users could shed light on the unique clinical and pharmacological profiles of opioid drugs, particularly regarding their cardiovascular safety. This information can be useful in developing personalized therapeutic strategies based on the route of opioid administration.

Metabolic syndrome and hyperuricemia: features of patient management (clinical case)

Metabolic syndrome (MS) is a group of interrelated metabolic disorders such as high blood pressure, central obesity, insulin resistance (IR), dyslipidemia. The main mechanisms that indicate a metabolic disorder and contribute to its development are IR and a large amount of circulating free fatty acids. In turn, tissue IR is often combined with other abnormalities including disorders of uric acid metabolism, changes in the hemostasis system, endothelial dysfunction, increased levels of C-reactive protein. At the same time, metabo­lic disorders are a risk factor for hyperuricemia. MS occurs in 25–60 to 90 % of all gout patients. About 50 % of patients with hyperuricemia have symptoms of MS. Hyperuricemia as a component of MS is a predictor of cardiovascular mortality, development of diabetes mellitus, hypertension and nephrolithiasis. Hyperuricemia is closely related to diabetes, obesity, coronary heart disease, hypertension. On the example of a clinical case, the main components of MS are considered, as well as the issue of the relationship between hyperuricemia, gout and the components of MS. The main idea behind the creation of the MS concept is to select a population of patients at a high cardiovascular risk in whom preventive measures such as lifestyle modification and the use of adequate drugs can significantly affect the main health indicators. The goal of managing patients with MS is to minimize cardiovascular risk and mortality as much as possible. Accordingly, the therapeutic strategy should include optimal ways to modify the lifestyle; lowering blood pressure to the target level and treating comorbid conditions; reducing low-density lipoprotein cholesterol according to the risk profile: &gt; 50 %, and &lt; 70 mg/dL (1.4 mmol/L) in patients at a very high cardiovascular risk; &gt; 50 %, and &lt; 100 mg/dL (1.8 mmol/l) in high-risk patients; reducing fasting serum glucose &lt; 126 mg/dl (7 mmol/l) or glycated hemoglobin &lt; 7 % (53 mmol/mol); maintaining uric acid level &lt; 6.5 mg/dL (0.387 mmol/L), in patients with gout — below 6 mg/dL (0.357 mmol/L). Thus, according to the results of the research, a causal relationship was found between insulin resistance and serum uric acid levels in patients with metabolic syndrome. The strategy for managing patients with metabolic syndrome should include screening and correction of hypertension, carbohydrate purine metabolism, dyslipidemia, and prevention of cardiovascular events.

Association between weight change, waist circumference change, and the risk of nonalcoholic fatty liver disease in individuals with metabolically healthy overweight or obesity and metabolically unhealthy overweight or obesity

BackgroundThis study aimed to explore and compare the effect of weight change, and waist circumference (WC) change, on the risk of nonalcoholic fatty liver disease (NAFLD) in individuals with metabolically healthy overweight or obesity (MHOW/O) and metabolically unhealthy overweight or obesity (MUOW/O) in a health check-up cohort in China. Methods5625 adults with overweight or obesity, and free from NAFLD at baseline were included. Metabolically healthy was defined as not having any components of metabolic syndrome. Weight/WC changes were calculated as the relative difference between the first and second visits of check-up. NAFLD was assessed based on abdominal ultrasound. ResultsDuring a median follow-up of 2.1 (IQR: 1.1–4.3) years, 1849 participants developed NAFLD. In MHOW/O participants, the multivariable adjusted HRs (95 % CIs) for NAFLD in weight change ≤ −5.0 %, and − 4.9–− 1.0 % were 0.36 (0.23–0.59), 0.59 (0.43–0.80), respectively, compared to the weight stable group (−0.9% to 0.9 %). The corresponding HRs (95 % CIs) for the association between WC change (≤ 6.0 %, - 5.9 to −3.0 %) and NAFLD in MHOW/O participants were 0.41 (0.27–0.62), and 0.74 (0.54–1.01), respectively, compared to the WC stable group (−2.9–2.9 %). Similar patterns were observed in MUOW/O participants. A more marked gradient of cumulative incidence of NAFLD across weight/WC change categories was observed in MHOW/O than in MUOW/O individuals. ConclusionsA more evident association between weight/WC loss and risk of NAFLD was observed in MHOW/O than in MUOW/O individuals. Our findings indicate the practical significance of encouraging all individuals with overweight and obesity to achieve a clinically relevant level of weight/WC loss to prevent NAFLD, even among metabolic healthy groups.

Metabolic syndrome traits exhibit genotype-by-environment interaction in relation to socioeconomic status in the Mexican American family heart study.

Background: Socioeconomic Status (SES) is a potent environmental determinant of health. To our knowledge, no assessment of genotype-environment interaction has been conducted to consider the joint effects of socioeconomic status and genetics on risk for metabolic disease. We analyzed data from the Mexican American Family Studies (MAFS) to evaluate the hypothesis that genotype-by-environment interaction (GxE) is an essential determinant of variation in risk factors for metabolic syndrome (MS). Methods: We employed a maximum likelihood estimation of the decomposition of variance components to detect GxE interaction. After excluding individuals with diabetes and individuals on medication for diabetes, hypertension, or dyslipidemia, we analyzed 12 MS risk factors: fasting glucose (FG), fasting insulin (FI), 2-h glucose (2G), 2-h insulin (2I), body mass index (BMI), waist circumference (WC), leptin (LP), high-density lipoprotein-cholesterol (HDL-C), triglycerides (TG), total serum cholesterol (TSC), systolic blood pressure (SBP), and diastolic blood pressure (DBP). Our SES variable used a combined score of Duncan's socioeconomic index and education years. Heterogeneity in the additive genetic variance across the SES continuum and a departure from unity in the genetic correlation coefficient were taken as evidence of GxE interaction. Hypothesis tests were conducted using standard likelihood ratio tests. Results: We found evidence of GxE for fasting glucose, 2-h glucose, 2-h insulin, BMI, and triglycerides. The genetic effects underlying the insulin/glucose metabolism component of MS are upregulated at the lower end of the SES spectrum. We also determined that the household variance for systolic blood pressure decreased with increasing SES. Conclusion: These results show a significant change in the GxE interaction underlying the major components of MS in response to changes in socioeconomic status. Further mRNA sequencing studies will identify genes and canonical gene pathways to support our molecular-level hypotheses.

Association of Serum Netrin-1 Level with Metabolic Syndrome Components in Gorgan

Association of Serum Netrin-1 Level with Metabolic Syndrome Components in Gorgan

Portrait of Metabolic Syndrome by Gender in A Rural Area of Gowa Regency

Metabolic syndrome is an important indicator in efforts to control non-communicable diseases. The incidence of metabolic syndrome is directly proportional to the incidence of obesity while the prevalence of metabolic syndrome varies based on sociodemographic characteristics and lifestyle. Efforts to identify metabolic syndrome in the community are a crucial step to identify early the potential for hypertension, coronary heart disease, stroke and diabetes mellitus. This study aims to identify components of metabolic syndrome based on gender. Cross sectional study is the research design that underlies data collection on risk factors for metabolic syndrome which is carried out through interviews and measurements of height, weight, waist circumference, blood pressure and cholesterol levels using NCEP-III criteria as the basis for identifying metabolic syndrome. Data analysis used the Chi-Square test. The metabolic syndrome component in the form of obesity is identified in men and women using different indicators. Both men and women have experienced increases in systolic blood pressure and cholesterol levels. A history of smoking was the only risk factor for metabolic syndrome with a statistically significant difference in proportion between men and women. Behavioral modifications such as eating patterns, rest, and others according to the guidance of the Koran and hadith are needed to minimize the incidence of metabolic syndrome.&#x0D;

Comparison of anthropometric, metabolic, and body compositional abnormalities in Korean children and adolescents born small, appropriate, and large for gestational age: a population-based study from KNHANES V (2010-2011).

The impacts of growth restriction and programming in the fetal stage on metabolic and bone health in children and adolescents are poorly understood. Moreover, there is insufficient evidence for the relationship between current growth status and metabolic components. Herein, we compared the growth status, metabolic and body compositions, and bone mineral density in Korean children and adolescents based on birth weight at gestational age. We studied 1,748 subjects (272 small for gestational age [SGA], 1,286 appropriate for gestational age [AGA], and 190 large for gestational age [LGA]; 931 men and 817 women) aged 10-18 years from the Korean National Health and Nutrition Examination Survey (KNHANES) V (2010-2011). Anthropometric measurements, fasting blood biochemistry, and body composition data were analyzed according to birth weight and gestational age. The prevalence of low birth weight (14.7% vs. 1.2% in AGA and 3.2% in LGA, p<0.001) and current short stature (2.237 [1.296-3.861] compared to AGA, p=0.004) in SGA subjects was greater than that in other groups; however, the prevalence of overweight and obesity risks, metabolic syndrome (MetS), and MetS component abnormalities was not. Moreover, no significant differences were found in age- and sex-adjusted lean mass ratio, fat mass ratio, truncal fat ratio, bone mineral content, or bone density among the SGA, AGA, and LGA groups in Korean children and adolescents. Our data demonstrate that birth weight alone may not be a determining factor for body composition and bone mass in Korean children and adolescents. Further prospective and longitudinal studies in adults are necessary to confirm the impact of SGA on metabolic components and bone health.