Cluster Of Metabolic Abnormalities Research Articles

Serum klotho as a novel biomarker for metabolic syndrome: findings from a large national cohort.

Metabolic syndrome is a cluster of metabolic abnormalities that significantly increase the risk of cardiovascular disease and mortality. The identification of novel biomarkers associated with mortality in patients with metabolic syndrome could facilitate early risk stratification and targeted interventions. We conducted a large prospective cohort study using data from five cycles (2009-2016) of the National Health and Nutrition Examination Survey (NHANES) database, including a total of 40,439 participants. Logistic regression analysis was used to assess the association between serum klotho protein levels and metabolic syndrome, while Cox regression analysis was employed to examine the correlation between serum klotho levels and all-cause mortality. Mortality data were updated until December 31, 2019. After adjusting for demographic and socioeconomic confounders, the logistic regression model demonstrated that higher serum klotho levels were significantly associated with a decreased prevalence of metabolic syndrome (OR [95% CI] Highest vs. lowest quartile: 0.84 [0.70-0.99], P=0.038). In the Cox regression model, elevated klotho levels were found to significantly reduce the risk of all-cause mortality among individuals with metabolic syndrome (HR [95% CI] Highest vs. lowest quartile: 0.68 [0.51-0.90], P=0.006). Serum klotho levels were found to be inversely associated with the prevalence of metabolic syndrome, independent of potential confounding factors such as demographics, socioeconomic status, and lifestyle factors. Furthermore, higher klotho levels strongly indicated a lower risk of all-cause mortality in individuals with metabolic syndrome.

The effect of data balancing approaches on the prediction of metabolic syndrome using non-invasive parameters based on random forest

BackgroundMetabolic syndrome (MetS) is a cluster of metabolic abnormalities (including obesity, insulin resistance, hypertension, and dyslipidemia), which can be used to identify at-risk populations for diabetes and cardiovascular diseases, the main causes of morbidity and mortality worldwide. The achievement of a simple approach for diagnosing MetS without needing biochemical tests is so valuable. The present study aimed to predict MetS using non-invasive features based on a successful random forest learning algorithm. Also, to deal with the problem of data imbalance that naturally exists in this type of data, the effect of two different data balancing approaches, including the Synthetic Minority Over-sampling Technique (SMOTE) and Random Splitting data balancing (SplitBal), on model performance is investigated.ResultsThe most important determinant for MetS prediction was waist circumference. Applying a random forest learning algorithm to imbalanced data, the trained models reach 86.9% and 79.4% accuracies and 37.1% and 38.2% sensitivities in men and women, respectively. However, by applying the SplitBal data balancing technique, the best results were obtained, and despite that the accuracy of the trained models decreased by 7.8% and 11.3%, but their sensitivity improved significantly to 82.3% and 73.7% in men and women, respectively.ConclusionsThe random forest learning method, along with data balancing techniques, especially SplitBal, could create MetS prediction models with promising results that can be applied as a useful prognostic tool in health screening programs.

Role of apigenin in targeting metabolic syndrome: A systematic review.

Metabolic syndrome (MetS) is a cluster of metabolic abnormalities that has a high prevalence worldwide. Apigenin is a flavonoid present in several vegetables and fruits and has anti-inflammatory, anti-oxidant, and anti-MetS properties. This study aims to systematically review the effects of apigenin against MetS and the relevant molecular and cellular mechanisms of action, pharmacokinetics features, and potential structure-activity relationship. Electronic databases including Scopus, PubMed, Science Direct and Cochrane Library were searched for in vivo, and in vitro, and human studies with the following keywords: "apigenin" and "metabolic syndrome or insulin resistance syndrome", "fatty liver", "hypertension or blood pressure", "diabetes or blood glucose", "dyslipidemia", "heart or cardiovascular " and "obesity" in title/abstract. Data were collected from 2000 until 2021 (up to April). Only papers published in the English language were included. Forty-six full-text articles out of 1016 retrieved papers were reviewed and underwent quality assessment by investigators. Anti-obesity activity of apigenin is mainly through attenuating adipocyte differentiation by suppressing the mitotic clonal expansion and the adipogenesis-related factors. Its anti-diabetic effects can be exerted through inhibition of protein tyrosine phosphatase1B expression, maintaining the activity of anti-oxidant enzymes, reducing intracellular ROS production, cellular DNA damage, protein carbonylation, and attenuating β-cell apoptosis. Moreover, apigenin could attenuate dyslipidemia and subsequent atherosclerotic conditions through down-regulating sterol regulatory element-binding proteins (SREBP)-1c, SREBP-2, stearyl-CoA desaturase-1, and 3-hydroxy-3-methyl-glutaryl-CoA reductase. Apigenin as a dietary bioactive compound would be a promising candidate for improving MetS and its components.

Insulin Resistance in Association with Metabolic Syndrome in Wasit University Students in Iraq

In Iraq 1.4 million of people have diabetes, the prevalence of T2DM was ranged (8.5%—13.9%), and the cluster of metabolic abnormalities has long been identified as the risk factors for type 2 diabetes and is now commonly described as metabolic syndrome/MetS. Insulin resistance takes a key role in the process of the MetS and has even been hypothesized as its underlying cause. Clinical and epidemiologic studies also indicate that obesity and life style habit might be correlated with IR. This study examined the relationship between IR and MetS in a sample of young, healthy university students in Iraq. It discovered that the severity of IR is positively correlated with the clustering of MetS risk factors in Iraqi students, suggesting that the IR index could be used as a diagnostic tool to identify the young adult who is at higher risk of developing IR and help prevent metabolic disorders that may develop secondary to IR. Insulin resistance was highly correlated with dietary product use, high BMI, and physical inactivity, investigating the IR in an early stage is crucial for trying to stop the disease progression into chronic disease.

Metabolic syndrome in parathyroid diseases

Metabolic syndrome is a cluster of metabolic abnormalities, including central obesity, insulin resistance, dyslipidemia, and hypertension. Parathyroid diseases are a group of disorders that affect the parathyroid glands’ function, which regulates the body’s calcium and phosphorus levels. There is growing evidence that parathyroid diseases may be associated with metabolic syndrome. There is a growing body of evidence suggesting a possible association between parathyroid diseases and metabolic syndrome. Hyperparathyroidism and secondary hyperparathyroidism are associated with insulin resistance and dyslipidemia, while hypoparathyroidism is associated with hypocalcemia-induced metabolic abnormalities. Further studies are needed better to understand the relationship between parathyroid diseases and metabolic syndrome and to develop effective treatment strategies. Hyperparathyroidism is a common parathyroid disease characterized by excessive secretion of parathyroid hormone (PTH). Parathormone plays a crucial role in calcium homeostasis and bone metabolism. However, excessive PTH secretion can lead to hypercalcemia, which can cause metabolic abnormalities such as insulin resistance and dyslipidemia. Studies have shown that patients with primary hyperparathyroidism have a higher metabolic syndrome prevalence than the general population. Secondary hyperparathyroidism is another parathyroid disease in patients with chronic renal failure. Chronic kidney disease leads to impaired renal function, which results in decreased vitamin D synthesis and increased PTH secretion. Secondary hyperparathyroidism is associated with bone mineral disorders and cardiovascular disease. Studies have also shown that secondary hyperparathyroidism is associated with metabolic abnormalities such as insulin resistance and dyslipidemia.

Comparative analysis between fasting and postprandial apolipoprotein B and total cholesterol/high-density lipoprotein-cholesterol ratio for atherosclerosis risk prediction in type 2 diabetes mellitus subjects of central India

Background: Type 2 diabetes mellitus (Type 2 DM), characterized by a relative insulin deficiency or insulin resistance, is associated with a cluster of metabolic abnormalities, which includes glucose intolerance, hypertension, a unique dyslipidemia, a procoagulant state, and an increase in macrovascular diseases. Aims and Objectives: The present study was conducted to correlate between fasting and postprandial apolipoprotein B and total cholesterol/high-density lipoprotein-cholesterol (TC/HDL-C) ratio for predicting the risk of atherosclerosis in T2DM subjects. Materials and Methods: Sixty clinically diagnosed cases of T2DM (age group of 35–65 years and duration of diabetes of more than 5 years) were included in the study and sixty age- and sex-matched healthy subjects were taken as the controls. In both the study groups, we measured postprandial as well as fasting lipid profile, which comprised serum TC, triglycerides (TGs), HDL-C, low-density lipoprotein cholesterol (LDL-C), and apolipoprotein B. Ratio is calculated as TC/HDL-C in both fasting and postprandial state. The statistical analysis was done using the students unpaired’-test. Results: The results of the present study showed significantly increased levels of postprandial serum TC, TGs, LDL-C, and apo B as compared to those in the fasting state (P<0.05). The serum HDL-C level was significantly lower in the postprandial state as compared to that in the fasting state (P<0.05). Postprandial TC/HDL-C and apo B are increased significantly as compared to fasting condition in type 2 diabetes subjects. Conclusion: The findings suggest that postprandial lipid profile, apolipoprotein B, and TC/HDL-C ratio as a cardiovascular risk factor can be utilized as simple marker utilizing simple parameters in lipid profile that significantly increased in the postprandial state.Thus, Apolipoprotein B, the marker of the number of LDL particles (for atherosclerosis) in the circulation and TC/HDL-C ratio can be routinely estimated for the atherosclerosis risk assessment in type 2 diabetes subjects in the postprandial state.

“SERUM URIC ACID LEVELS WITH INSULIN RESISTANCE IN METABOLIC SYNDROME – A CORRELATION STUDY”

Background: Metabolic syndrome (MetS) is a cluster of metabolic abnormalities that includes hypertension, central obesity, insulin resistance, and atherogenic dyslipidemia, which is strongly associated with an increased risk for developing diabetes and atherosclerotic and nonatherosclerotic cardiovascular disease (CVD). The increasing prevalence of Obesity across the world will result in an increased prevalence of Metabolic syndrome. However, obesity along with the MetS increases the risk of acquiring Diabetes and cardiovascular diseases (CVD). The prevalence of metabolic syndrome in adults ranges from 20 to 25%, but in those with type 2 diabetes, it can almost always approach 80%. The death rate from high BMI has increased globally by 28.3%. According to the WHO denition of metabolic syndrome, CVD mortality was 2.6 to 3.0 times higher and all-cause death was 1.9 to 2.1 times higher. Elevated uric acid is one of the characteristic signs of metabolic syndrome patients that has been associated with several cardiometabolic risk factors. Despite frequently being thought of as secondary to hyperinsulinemia, current research suggests that uric acid has a primary role in mediating this condition. According to multiple logistic regression analysis, the risk of MetS rose around 2-fold for every 1 mg/dl increase in blood uric acid. This study seeks to determine if insulin resistance and asymptomatic hyperuricemia are related in patients with metabolic syndrome. Aim: To study the correlation of Serum Uric acid levels with Insulin Resistance in Metabolic syndrome. Materials And Methods: A Hospital-based cross-sectional study was conducted in the Department of General Medicine, Santhiram medical college, and the general hospital for six months. A total of 50 cases with asymptomatic Hyperuricemia and insulin resistance who satisfy the criteria for metabolic syndrome and patients that were admitted to the hospital during this period were taken into the study. Results: Out of 50 patients a male preponderance of 72% was found in the study. Subjects in the Metabolic syndrome group had higher BMI, WC, SBP, DBP, FBS, fasting insulin, HOMA-IR index, TG, and HDL levels than the subjects in the non-MetS group. In this study, the mean serum uric acid was signicantly higher in the MetS group than that in the non-MetS group. In the Mets group, the mean value of serum uric acid was 8.1±1.8mg/dl. In the study, 78.6% of women and 75.4% of men had asymptomatic hyperuricemia. In Mets, there was a strong positive correlation between serum uric acid and insulin resistance. Additionally, a favorable association between serum uric acid and several Mets factors such as BMI, waist size, fasting blood sugars, fasting insulin, and HDL was observed. Conclusion: Serum uric acid showed a signicant positive relation with insulin resistance in Mets. There was also a positive correlation noted between serum uric acid and various components of Mets i.e., BMI, waist circumference, fasting blood sugars, fasting insulin, and HDL

Prevalence of metabolic syndrome in patients attending general practice outpatient department at a community hospital

Background: Metabolic syndrome, a cluster of metabolic abnormalities which bears increased risk for cardiovascular diseases and diabetes mellitus, requires early screening, diagnosis, and timely intervention. Prevalence varies with age, gender, degree of obesity, and increased propensity for type 2 diabetes mellitus. Objectives: To find out the prevalence of metabolic syndrome among individuals with hypertension and/or diabetes seeking medical evaluation in general practice outpatient department of Kathmandu Medical College Community Hospital. Methods: This cross-sectional analytical study was conducted among 100 participants collected by convenience sampling at general practice outpatient department of Kathmandu Medical College Community Hospital, Duwakot, Bhaktapur, Nepal. Physical examination was done and investigations were sent. Metabolic Syndrome was diagnosed using US National Cholesterol Education Program Adult Treatment Panel. Data collection was done from 2019 July to 2019 December. Study population was patients with either hypertension and/or diabetes seeking medical evaluation, age of 18 years or above, both genders, no known comorbidity other than those under medication for hypertension and diabetes. Data analysis was done with SPSS v.16 and two-sample t-test or Chi-square test applied as appropriate. A p-value <0.05 taken as statistically significant. Results: Out of 100 individuals, 73 were found having metabolic syndrome. It was more common among male (38, 52.1%), obese people of age 40-59 years (42, 57%), and among patients with high body mass index (26.93±2.74). Conclusion: The prevalence of metabolic syndrome was found significantly high among patients with hypertension or diabetes. Therefore, it is important to diagnose this condition on time to prevent subsequent complications.

Metabolic Syndrome in Children and Adolescents

Metabolic syndrome (MetS) is a cluster of metabolic abnormalities that include hypertension, altered glucose metabolism, dyslipidemia, and abdominal obesity and is strongly associated with an increased risk for diabetes and cardiovascular disease onset in obese adults and children. A progressively greater number of children and adolescents are being affected by this syndrome due to the constant increase in the prevalence of obesity. Like obesity, childhood MetS highly tracks to adulthood. The pathogenesis of MetS includes the interaction between obesity, insulin resistance, and inflammation. Early diagnosis and intervention are important in order to conduct lifestyle modification. In this article, we review the definition and pathophysiology of MetS, the importance of screening, and prevention and treatment options for MetS in childhood.

The Association between High-Sensitivity C-Reactive Protein and Metabolic Syndrome in an Elderly Population Aged 50 and Older in a Community Receiving Primary Health Care in Taiwan.

Metabolic syndrome (MetS) has become the most important issue in family medicine and primary care because it is a cluster of metabolic abnormalities that are a burden on health care in many countries. Highly sensitive C-reactive protein (hsCRP), which is elevated in inflammatory situations, can be produced by monocyte-derived macrophages in adipose tissue. People with MetS tend to have more adipose tissue. Therefore, we aimed to investigate the association between hsCRP and MetS among elderly individuals aged 50 years and older in northern Taiwan. This study was a cross-sectional community-based study that included 400 middle-aged and elderly Taiwanese adults, and 400 participants were eligible for analysis. We divided the participants into a MetS group and a non-MetS group. Pearson’s correlations were calculated between hsCRP and other related risk factors. Furthermore, the relationship between hsCRP and MetS was analyzed with logistic regression. People in the MetS group were more likely to have higher hsCRP levels. The Pearson’s correlation analysis showed a positive correlation with hsCRP. In the logistic regression, hsCRP was significantly associated with MetS, even with the adjustment for BMI, uric acid, age, sex, smoking status, drinking status, hypertension, diabetes mellitus, and dyslipidemia. In summary, our research indicated that hsCRP could be an independent risk factor for MetS.

The effect of purple tea extract activity on selected metabolic syndrome parameters in mice

Metabolic syndrome (MetS) is a cluster of metabolic abnormalities. Prevalence of MetS is documented at 50% and 87.5% in Africa and Kenya respectively. It is managed by combining lifestyle modification and pharmacotherapy. Although Camellia sinensis TRFK306 has been proven to induce weight loss in mice and humans, its effect on metabolic syndrome is yet to be investigated. This study aimed to investigate the effect of Camellia sinensis TRFK306 extract on MetS induced Sprague Dawley male rats. A total of thirty-five, six-weeks-old rats were acclimatized for one (1) week and randomized into 5 groups (n=7). Metabolic syndrome was induced using high- fat fructose diet for eight (8) weeks. Post-hoc statistical analysis using Tukey’s multiple comparison test was used to analyze the effect of freeze-dried extracts of Camellia Sinensis TRFK306 on various markers of metabolic syndrome. Random blood sugar levels revealed significant differences (p = <0.0001), for experimental animals. Oral glucose tolerance results were significant (p = <0.0001). Total serum triglyceride levels was significant (p = <0.0001). Mean serum HDL-C levels revealed significant differences between the normal control and negative control (p = 0.0009), the negative control and low dose test (p = 0.0023), the negative control and high dose test (p = 0.0025) and the negative control and positive control (p = 0.0014). The mean serum LDL-C levels revealed significant difference (p= <0.0001). Camellia Sinensis TRFK306 possessed significant beneficial effects on various markers of metabolic syndrome.

Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea

BackgroundMetabolic syndrome (MetS) is a complex condition that appears as a cluster of metabolic abnormalities, and is closely associated with the prevalence of various diseases. Early prediction of the risk of MetS in the middle-aged population provides greater benefits for cardiovascular disease-related health outcomes. This study aimed to apply the latest machine learning techniques to find the optimal MetS prediction model for the middle-aged Korean population.MethodsWe retrieved 20 data types from the Korean Medicine Daejeon Citizen Cohort, a cohort study on a community-based population of adults aged 30–55 years. The data included sex, age, anthropometric data, lifestyle-related data, and blood indicators of 1991 individuals. Participants satisfying two (pre-MetS) or ≥ 3 (MetS) of the five NECP-ATP III criteria were included in the MetS group. MetS prediction used nine machine learning models based on the following algorithms: Decision tree, Gaussian Naïve Bayes, K-nearest neighbor, eXtreme gradient boosting (XGBoost), random forest, logistic regression, support vector machine, multi-layer perceptron, and 1D convolutional neural network. All analyses were performed by sequentially inputting the features in three steps according to their characteristics. The models’ performances were compared after applying the synthetic minority oversampling technique (SMOTE) to resolve data imbalance.ResultsMetS was detected in 33.85% of the subjects. Among the MetS prediction models, the tree-based random forest and XGBoost models showed the best performance, which improved with the number of features used. As a measure of the models’ performance, the area under the receiver operating characteristic curve (AUC) increased by up to 0.091 when the SMOTE was applied, with XGBoost showing the highest AUC of 0.851. Body mass index and waist-to-hip ratio were identified as the most important features in the MetS prediction models for this population.ConclusionsTree-based machine learning models were useful in identifying MetS with high accuracy in middle-aged Koreans. Early diagnosis of MetS is important and requires a multidimensional approach that includes self-administered questionnaire, anthropometric, and biochemical measurements.

Metabolic syndrome

Metabolic syndrome is a cluster of metabolic abnormalities with a high prevalence worldwide, which increase the risk of cardiovascular disease and diabetes mellitus. The main features of metabolic syndrome are: central obesity, hy­per­tri­glyceridemia, low HDL-cholesterol levels, high blood glucose, insulin resistance and arterial hypertension. Se­veral factors are involved in the etiopathogenesis of me­ta­bo­lic syndrome, a central role having the insulin re­sis­tance. The symptoms of this syndrome belong to its com­po­nents and the diagnosis requires simple clinical and paraclinical criteria, available in family medicine prac­tices. The management is a complex one and in­clu­des primarily lifestyle changes. The role of general practitioner is im­por­tant in the screening and management of me­ta­bo­lic syndrome to prevent the number of cases of obe­si­ty, dia­betes and cardiovascular disease, as well as the com­pli­ca­tions of these diseases.

Comparison of high-fat and high-carbohydrate diets for obtaining an experimental model of metabolic syndrome

Introduction. Metabolic syndrome is a cluster of metabolic abnormalities that includes hypertension, central obesity, insulin resistance and atherogenic dyslipidemia. Given the wide geographical distribution and growing number of people suffering from this disease, there is an urgent need in developing animal models that would accurately reproduce the development of all symptoms of human metabolic syndrome (insulin resistance, dyslipidemia, obesity and hypertension). The most cost-effective method related to the real causes of metabolic syndrome is the use of different types of diets. Materials and Methods. The study was performed on white outbred male rats about 6 months old and weighing 300–400 g. The metabolic syndrome was induced by high-fat and high-carbohydrate diets. The lipid-enriched diet involved the consumption of regular chow diet for laboratory animals with additional fat content (40 % by weight of chow). The source of additional lipids was olive oil, which is rich in monounsaturated fatty acids (MUFAs). Animals on the diet enriched in carbohydrates together with regular chow diet for laboratory animals consumed 10 % fructose solution instead of drinking water. Glucose tolerance tests were conducted and areas under the glycemic curves were calculated. We determined the content of glycated hemoglobin and glucose concent­ration, the concentration of low-density lipoproteins (LDL), high-density lipoproteins (HDL), triglycerides and cholesterol in the blood plasma of rats. Results. The development of metabolic syndrome induced by an excessive consumption of carbohydrates and lipids for 42 days was accompanied by impaired glucose tolerance, increased glycosylated hemoglobin, triglycerides and cholesterol concentrations, as well as a decreased HDL content. An increase in the concentrations of LDL and activity of paraoxonase were found due to the induction of the pathological condition by an excessive fat intake, while a high carbohydrate diet caused a decrease in paraoxonase activity. Conclusions. The use of fructose for 42 days causes the most pronounced manifestations of the studied pathology. The use of this model will allow determining the biochemical and molecular changes that accompany the development of this pathological condition. It will also facilitate the development and evaluation of the effectiveness of new therapeutic approaches to the treatment of metabolic syndrome.

Ileal interposition improves metabolic syndrome parameters in a rat model of metabolic syndrome induced by monosodium glutamate

AimsMetabolic syndrome (MetS) is a cluster of metabolic abnormalities. Anatomically restructuring of the gastrointestinal system has recently been an important subject of research in the treatment of MetS and closely related diseases. The aim of this study is to ensure the remission of parameters that define MetS by ileal interposition (IT) and to examine the effect of IT on plasma total GLP-1 and pancreatic GLP-1R expression. Main methodsTo induce MetS, newborn male Wistar albino rats were given MSG (4 g/mg) on days 0, 2, 4, 6, 8, and 10. The control group was injected with saline. In the 5th month, IT or sham surgery was performed on the MetS rats. The lipid levels, abdominal obesity, insulin level, OGTT, Lee index, HOMA-IR, plasma GLP-1 and pancreas GLP-1R expression were evaluated 2 months after surgery. Key findingsThe results showed that IT significantly improved hyperinsulinemia (p = 0.013) and lipid profile (TG p = 0.0001; TCHOL p = 0.018; HDL p = 0.001). Furthermore, it normalized the Lee index (p = 0.006) and insulin resistance. The IT did not affect the secretion of the GLP-1, but the expression levels of pancreas GLP-1R were increased (p = 0.006). SignificanceIT surgery corrected the MetS parameters in this rat model. The healing effects of IT surgery could be caused by mechanisms in the target tissues of insulin. The decrease in pancreatic GLP-1R levels in the MetS groups might be a compensatory response to the harmful effects of hyperinsulinemia in these groups. These results show that IT can be useful in the treatment of MetS.

Prevalence of Metabolic Syndrome in Patients with Subclinical and Overt Hypothyroidism Visiting Tertiary Care Centre of Western Nepal

INTRODUCTION: Hypothyroidism is a syndrome resulting from thyroid hormone deficiency. Metabolic syndrome (MetS) is a cluster of metabolic abnormalities is associated with increased risk for atherosclerotic cardiovascular disease (CVS) and type 2 diabetes mellitus. Thyroid hormones are major regulatory hormones that control the rate of metabolic function; thus, alteration in the levels of these hormones may be associated with MetS. The objective of our study was to find out the prevalence of MetS in subclinical and overt hypothyroidism.
 MATERIAL AND METHODS: A hospital-based cross sectional study was conducted at Universal College of Medical Sciences Teaching Hospital (UCMS-TH) Bhairahawa from March to September 2019. A total of 222 hypothyroid patients were enrolled in this study. MetS was diagnosed by National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATP III; 2005) revision criteria. The anthropometric indices were recorded. fT3, fT4 and TSH were measured by chemiluminescence immunoassay (CLIA) method and other biochemical parameters were estimated by colorimetric method. Data were analyzed by using SPSS 16.0.
 RESULTS: Patients were aged between 10 and 60 years, with a mean age of 38.89 years. The prevalence of MetS was 44.1% of which 80.6% were females. Furthermore, the prevalence of MetS was found to be 43.7% in subclinical hypothyroidism and 46.6% in overt hypothyroidism.
 CONCLUSION: The prevalence of MetS is high in both overt and subclinical hypothyroidism. Screening for MetS in patients with hypothyroidism can reduce the risk for CVD, as well as the mortality rate and mortality associated with it.

Metabolic syndrome and myocardium steatosis in subclinical type 2 diabetes mellitus: a 1H-magnetic resonance spectroscopy study

BackgroundMetabolic syndrome (MetS) is a cluster of metabolic abnormalities that collectively cause an increased risk of type 2 diabetes mellitus (T2DM) and nonatherosclerotic cardiovascular disease. This study aimed to evaluate the role of myocardial steatosis in T2DM patients with or without MetS, as well as the relationship between subclinical left ventricular (LV) myocardial dysfunction and myocardial steatosis.Methods and materialsWe recruited 53 T2DM patients and 20 healthy controls underwent cardiac magnetic resonance examination. All T2DM patients were subdivide into two group: MetS group and non-MetS. LV deformation, perfusion parameters and myocardial triglyceride (TG) content were measured and compared among these three groups. Pearson’s and Spearman analysis were performed to investigate the correlation between LV cardiac parameters and myocardial steatosis. The receiver operating characteristic curve (ROC) was performed to illustrate the relationship between myocardial steatosis and LV subclinical myocardial dysfunction.ResultsAn increase in myocardial TG content was found in the MetS group compared with that in the other groups (MetS vs. non-MetS: 1.54 ± 0.63% vs. 1.16 ± 0.45%; MetS vs. normal: 1.54 ± 0.63% vs. 0.61 ± 0.22%; all p < 0.001). Furthermore, reduced LV deformation [reduced longitudinal and radial peak strain (PS); all p < 0.017] and microvascular dysfunction [increased time to maximum signal intensity (TTM) and reduced Upslope; all p < 0.017)] was found in the MetS group. Myocardial TG content was positively associated with MetS (r = 0.314, p < 0.001), and it was independently associated with TTM (β = 0.441, p < 0.001) and LV longitudinal PS (β = 0.323, p = 0.021). ROC analysis exhibited that myocardial TG content might predict the risk of decreased LV longitudinal myocardial deformation (AUC = 0.74) and perfusion function (AUC = 0.71).ConclusionMyocardial TG content increased in T2DM patients with concurrent MetS. Myocardial steatosis was positively associated with decreased myocardial deformation and perfusion dysfunction, which may be an indicator for predicting diabetic cardiomyopathy.

Association between metabolic syndrome and euthyroid nodular goiter: a case-control study.

Background: Metabolic syndrome is a cluster of metabolic abnormalities and abdominal obesity; its pathophysiologic basis, insulin resistance, has been shown to act as agent in thyroid cell proliferation. Few studies analyze the relationship between metabolic syndrome and thyroid nodular disease, with a substantial knowledge gap. Objective: Determine the association between metabolic syndrome and nodular thyroid disease in a region with adequate iodine intake.Methods: Case-control study. A total of 182 patients referred to radiology to undergo thyroid ultrasonography due to suspicion of thyroid disease. Cases had at least one thyroid nodule greater than 3 mm (n= 91). Controls did not have evidence of thyroid nodules (n= 91). Results: Bivariate analysis showed a significant association between metabolic syndrome and the presence of thyroid nodule (OR 2.56, 95% CI: 1.41-4.66, p <0.05). Low levels of HDL (OR 2.81, 95% CI: 1.54-5.12, p <0.05) and impaired fasting glucose (OR 2.05, 95%CI 1.10 to 3.78, p <0.05) were significantly associated with the presence of thyroid nodule, independent of the presence of metabolic syndrome. Multivariate analysis maintained the association between metabolic syndrome and thyroid nodule with an OR of 2.96 (95%CI 1.47 to 5.95, p <0.05); similarly, the associations of low levels of HDL (OR 2.77, 95%CI 1.44 to 5.3, p <0.05) and impaired fasting glucose (OR 2.23, 95%CI 1.14 to 4.34, p<0.05) with thyroid nodule remained significant.Conclusion: The thyroid nodular disease is associated with increased risk of metabolic syndrome, specifically decreased HDL and impaired fasting glucose levels were the factors that increased association was found.

Exercise and Polycystic Ovary Syndrome.

Polycystic ovary syndrome (PCOS) is a complex endocrinopathy affecting both the metabolism and reproductive system of women of reproductive age. Prevalence ranges from 6.1-19.9% depending on the criteria used to give a diagnosis. PCOS accounts for approximately 80% of women with anovulatory infer-tility, and causes disruption at various stages of the reproductive axis. Evidence suggests lifestyle modification should be the first line of therapy for women with PCOS. Several studies have examined the impact of exercise interventions on reproductive function, with results indicating improvements in menstrual and/or ovulation frequency following exercise. Enhanced insulin sensitivity underpins the mechanisms of how exercise restores reproductive function. Women with PCOS typically have a cluster of metabolic abnormalities that are risk factors for CVD. There is irrefutable evidence that exercise mitigates CVD risk factors in women with PCOS. The mechanism by which exercise improves many CVD risk factors is again associated with improved insulin sensitivity and decreased hyperinsulinemia. In addition to cardiometabolic and reproductive complications, PCOS has been associated with an increased prevalence of mental health disorders. Exercise improves psychological well-being in women with PCOS, dependent on certain physiological factors. An optimal dose-response relationship to exercise in PCOS may not be feasible because of the highly individualised characteristics of the disorder. Guidelines for PCOS suggest at least 150 min of physical activity per week. Evidence confirms that this should form the basis of any clinician or healthcare professional prescription.

Fatty Acid and Liver Status in Postmenopausal Women With and Without Metabolic Syndrome

AbstractMetabolic syndrome (MetS) is a cluster of metabolic abnormalities that includes dyslipidemia, abdominal obesity, hypertension, and insulin resistance. MetS is more prevalent in postmenopausal women than in other population groups. Furthermore, postmenopausal women are also more prone to nonalcoholic fatty liver disease (NAFLD). The aim of this study was to determine the relationship between fatty acid (FA) status, dietary lipid indices, and noninvasive biomarkers of NAFLD in postmenopausal women with or without MetS.One hundred and thirty-one postmenopausal women were included in the study. Dietary lipid indices (PUFA/MUFA and n-3/n-6 ratios) were calculated using the mean macronutrient intake, which was evaluated with dietary records. Selected biochemical biomarkers in the blood (e.g., lipid profile and enzymes related to liver function) were measured using the colorimetric method. FA concentrations in red blood cells (RBC) were analyzed using gas chromatography. Noninvasive biomarkers of NAFLD, such as fatty liver index (FLI) and hepatic steatosis index (HSI), were calculated.The mean age of the study group was 61.48 ± 5.62, and the mean waist circumference was 96.27 ± 12.44 cm. Levels of n-3/n-6 intake exceeding the median were associated with higher levels of EPA, EPA/AA, DHA/AA, and EPA + DHA/AA and lower levels of n-6/n-3 in RBC (p &lt; 0.05). Women with MetS had significantly higher n-6/n-3 levels in RBC and lower levels of EPA, total n-3, EPA/ALA, EPA/AA, DHA/AA, EPA + DHA/AA, PUFA/SFA, and PUFA/MUFA in RBC than women without MetS. Women with MetS had a higher FLI than women without MetS (p &lt; 0.001), but there were no differences in the concentrations of enzymes related to liver function. Women with FLI and HSI values over the median and AST/ALT values below the median had lower concentrations of n-3, PUFA/SFA, and PUFA/MUFA in RBC and higher concentrations of n-6/n-3 in RBC (p &lt; 0.05). Subjects with higher levels of n-3/n-6 and PUFA + MUFA/SFA in RBC had a lower concentration of GGTP, while those with higher levels of PUFA/SFA in RBC had lower FLI (p &lt; 0.05).MetS is associated with unfavorable FA status in postmenopausal women—specifically with lower levels of n-3, PUFA/SFA, and PUFA/MUFA. Moreover, concentrations of these FAs in RBC are associated with NAFLD biomarkers.The project was financed by the National Science Centre award (decision number 2015/17/N/NZ9/04133).