scholarly journals Association of Serum Levels of Zinc, Copper, and Iron with Risk of Metabolic Syndrome

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 548
Author(s):  
Chia-Wen Lu ◽  
Yi-Chen Lee ◽  
Chia-Sheng Kuo ◽  
Chien-Hsieh Chiang ◽  
Hao-Hsiang Chang ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Linear Models ◽  
Serum Zinc ◽  
Serum Levels ◽  
Least Square ◽  
Model Assessment ◽  
Serum Concentrations ◽  
Metabolic Factors ◽  
Homeostatic Model Assessment

The association between serum concentrations of zinc, copper, or iron and the risk of metabolic syndrome are inconclusive. Therefore, we conduct a case-control study to explore the relationship between serum levels of zinc, copper, or iron and metabolic syndrome as well as each metabolic factor and insulin resistance. We enrolled 1165 adults, aged ≥ 40 (65.8 ± 10) years in a hospital-based population to compare the serum levels of zinc, copper, and iron between subjects with and without metabolic syndrome by using multivariate logistic regression analyses. The least square means were computed by general linear models to compare serum concentrations of zinc, copper, and iron in relation to the number of metabolic factors. The mean serum concentrations of zinc, copper, and iron were 941.91 ± 333.63 μg/L, 1043.45 ± 306.36 μg/L, and 1246.83 ± 538.13 μg/L, respectively. The odds ratios (ORs) of metabolic syndrome for the highest versus the lowest quartile were 5.83 (95% CI: 3.35–10.12; p for trend < 0.001) for zinc, 2.02 (95% CI: 1.25–3.25; p for trend: 0.013) for copper, and 2.11 (95% CI: 1.24–3.62; p for trend: 0.021) for iron after adjusting for age, sex, personal habits, body mass index, and homeostatic model assessment insulin resistance. Additionally, the serum zinc, copper, and iron concentrations increased as the number of metabolic factors rose (p for trend < 0.001). This was the first study to clearly demonstrate that higher serum levels of zinc, copper, and iron were associated with the risk of metabolic syndrome and the number of metabolic factors independent of BMI and insulin resistance.

scholarly journals Metabolic syndrome and insulin resistance in pre-pubertal children with psoriasis

2021 ◽  
Author(s):  
Francesca Caroppo ◽  
Alfonso Galderisi ◽  
Laura Ventura ◽  
Anna Belloni Fortina
Keyword(s):  
Metabolic Disease ◽  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Model Assessment ◽  
Limited Data ◽  
Single Center ◽  
Increased Risk ◽  
High Prevalence ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model

AbstractPsoriasis in adults is associated with an increased risk of metabolic disease. Various cardiometabolic comorbidities have been reported in childhood psoriasis, but only a few studies have analyzed the prevalence of metabolic syndrome. We performed a single-center prospective study investigating the prevalence of metabolic syndrome and insulin resistance in children with psoriasis. The prevalence of metabolic syndrome was evaluated in 60 pre-pubertal children with psoriasis (age: 3–10 years), accordingly to recently established criteria for the diagnosis of metabolic syndrome in children. Insulin resistance was considered altered when the homeostatic model assessment (HOMA-IR) for insulin resistance was ≥ 90th sex- and age-specific percentile and HOMA 2-IR was > 1.8. Eighteen (30%) children with psoriasis were found to have metabolic syndrome. Sixteen (27%) children were found to have insulin resistance.Conclusion: Our data underline the importance of assessing metabolic syndrome not only in adults and adolescents but also in young children with psoriasis. What is Known:• Psoriasis in adults is strongly associated with metabolic disease and insulin resistance.• Very limited data are available on the prevalence of metabolic syndrome and insulin resistance in pre-pubertal children with psoriasis. What is New:• This study reports that in pre-pubertal children with psoriasis, there is a high prevalence of metabolic syndrome and insulin resistance.• In children with psoriasis metabolic syndrome risk factors should be assessed.

Homocysteine is the confounding factor of metabolic syndrome-confirmed by siMS score

2018 ◽  
Vol 33 (2) ◽  
pp. 99-103 ◽  
Author(s):  
Branko Srećković ◽  
Ivan Soldatovic ◽  
Emina Colak ◽  
Igor Mrdovic ◽  
Mirjana Sumarac-Dumanovic ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Risk Score ◽  
Continuous Measure ◽  
Model Assessment ◽  
Anthropometric Parameters ◽  
Apo B ◽  
Significant Difference ◽  
Homeostatic Model Assessment

Abstract Background: Abdominal adiposity has a central role in developing insulin resistance (IR) by releasing pro-inflammatory cytokines. Patients with metabolic syndrome (MS) have higher values of homocysteine. Hyperhomocysteinemia correlates with IR, increasing the oxidative stress. Oxidative stress causes endothelial dysfunction, hypertension and atherosclerosis. The objective of the study was to examine the correlation of homocysteine with siMS score and siMS risk score and with other MS co-founding factors. Methods: The study included 69 obese individuals (age over 30, body mass index [BMI] >25 kg/m2), classified into two groups: I-with MS (33 patients); II-without MS (36 patients). Measurements included: anthropometric parameters, lipids, glucose regulation parameters and inflammation parameters. IR was determined by homeostatic model assessment for insulin resistance (HOMA-IR). ATP III classification was applied for diagnosing MS. SiMS score was used as continuous measure of metabolic syndrome. Results: A significant difference between groups was found for C-reactive protein (CRP) (p<0.01) apolipoprotein (Apo) B, HOMA-IR and acidum uricum (p<0.05). siMS risk score showed a positive correlation with homocysteine (p=0.023), while siMS score correlated positively with fibrinogen (p=0.013), CRP and acidum uricum (p=0.000) and homocysteine (p=0.08). Homocysteine correlated positively with ApoB (p=0.036), HbA1c (p=0.047), HOMA-IR (p=0.008) and negatively with ApoE (p=0.042). Conclusions: Correlation of siMS score with homocysteine, fibrinogen, CRP and acidum uricum indicates that they are co-founding factors of MS. siMS risk score correlation with homocysteine indicates that hyperhomocysteinemia increases with age. Hyperhomocysteinemia is linked with genetic factors and family nutritional scheme, increasing the risk for atherosclerosis.

scholarly journals Plasma vitamin D levels and risk of metabolic syndrome in Canadians

2011 ◽  
Vol 34 (6) ◽  
pp. 377 ◽  
Author(s):  
Darren R Brenner ◽  
Paul Arora ◽  
Bibiana Garcia-Bailo ◽  
Thomas MS Wolever ◽  
Howard Morrison ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Vitamin D ◽  
Plasma Level ◽  
Linear Models ◽  
Smoking Status ◽  
Plasma Vitamin ◽  
Model Assessment ◽  
Vitamin D Levels ◽  
Metabolic Syndrome Components

Purpose: Vitamin D deficiency has been implicated in susceptibility to the development of metabolic syndrome, obesity and type 2 diabetes mellitus. The present study aimed to quantify the association between vitamin D plasma level, the number of metabolic syndrome components and insulin resistance in Canadians. Methods: Vitamin D plasma level and clinical data were determined from 1,818 subjects from the Canadian Health Measures Survey; a representative health survey of the general population of Canada conducted from 2007 to 2009. The definition of metabolic syndrome was based on the National Cholesterol Education Program, Adult Treatment Panel III criteria. Adjusted general linear models were used to estimate the association between vitamin D level and probability of having metabolic syndrome, as well as the association between plasma vitamin D and insulin resistance (homeostasis model assessment for insulin resistance, or HOMA-IR). Results: The prevalence of metabolic syndrome in the study population was 8.9%. The number of metabolic syndrome components was inversely correlated with plasma vitamin D level (ρ= -0.1, p < 0.0001). Subjects in the highest vitamin D quartile had lower odds ratio of metabolic syndrome compared with their counterparts in the lowest vitamin D quartile (0.50, 95% CI= 0.24-1.06). Increasing plasma vitamin D level (by 10 nmol/L) was inversely associated with HOMA-IR score (β= -0.08, p=0.006) in a model adjusted for physical activity, smoking status, month of interview, age, sex and ethnicity. Conclusion: Vitamin D plasma levels are associated with the occurrence of metabolic syndrome components and insulin resistance among Canadians and are linked to increased level of insulin resistance.

scholarly journals Evaluation of different biochemical markers in prediction of metabolic syndrome in polycystic ovary syndrome patients

2017 ◽  
Vol 6 (7) ◽  
pp. 2734
Author(s):  
Ahmed M. Radwan ◽  
Mohamed A. Youssry ◽  
Hossam M. El-saadany ◽  
Tabark Ahmed Patel
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Polycystic Ovary Syndrome ◽  
Biochemical Markers ◽  
Polycystic Ovary ◽  
Model Assessment ◽  
Biochemical Tests ◽  
Ovary Syndrome ◽  
Tissue Factors ◽  
Homeostatic Model Assessment

Background: Polycystic ovary syndrome (PCOS) is the commonest cause of chronic hyperandrogenic anovulation. Insulin resistance and compensatory hyperinsulinemia are keys of the pathogenesis of PCOS. It is also considered as a metabolic disorder. Since the components of metabolic syndrome (MBS) namely obesity, glucose intolerance, dyslipidemia, and hypertension are the common features of this syndrome. The association between MBS and PCOS can be explained by different theories as insulin resistance, obesity, and related adipose tissue factors (adipocytokines) independent of insulin resistance are the main pathogenic contributors to both disorders.Methods: A total of 143 women with PCOS were recruited as study subjects. All participants were subjected to anthropometric measurements, clinical assessment, and biochemical tests [fasting glucose, fasting insulin, and homeostatic model assessment-insulin resistance (HOMA-IR)]. Hormonal profile particularly leptin and homocysteine levels were also evaluated.Results: 25 patients (17.4%) out of 143 women with PCOS met the criteria for MBS. Patients with MBS had significantly higher body mass index, blood pressure, HOMA-IR, leptin, and homocysteine levels compared to PCOS only patients. When HOMA-IR cut off was ≥4.3 sensitivity and specificity were 90%, 88.6%, but when leptin level was ≥34.5 the corresponding statistics were 79.6%, 75.5%.Conclusions: Serum leptin, homocysteine, HOMA-IR as well as other biochemical markers are significantly higher in women with PCOS and MBS compared to PCOS only women. PCOS is associated with various factors like insulin resistance, obesity, and dyslipidemia. Consequently, adipocytokines and HOMA-IR play important role in the prediction of MBS in patients with PCOS.

scholarly journals Elevated Retinol-Binding Protein 4 Levels Are Associated with Metabolic Syndrome in Chinese People

2007 ◽  
Vol 92 (12) ◽  
pp. 4827-4834 ◽  
Author(s):  
Qibin Qi ◽  
Zhijie Yu ◽  
Xingwang Ye ◽  
Feng Zhao ◽  
Ping Huang ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Odds Ratio ◽  
Large Scale ◽  
Density Lipoprotein ◽  
Retinol Binding Protein ◽  
Model Assessment ◽  
Retinol Binding Protein 4 ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model

Abstract Context: High retinol-binding protein 4 (RBP4) is thought to be associated with insulin resistance in humans. However, evidence from large-scale populations about the relationship between RBP4 and metabolic diseases is scarce. Objective: We evaluated plasma RBP4 distribution and its association with metabolic syndrome (MetS) among middle-aged and older Chinese. Research Design and Methods: We evaluated plasma RBP4 in a cross-sectional sample of 3289 Chinese aged from 50 to 70 yr in Beijing and Shanghai by using an in-house developed and validated sandwich ELISA. MetS was defined according to the updated National Cholesterol Education Program Adult Treatment Panel III criteria for Asian-Americans. Results: RBP4 levels were higher in male and Beijing residents, compared with female and Shanghai participants (both P &lt; 0.001). RBP4 levels were associated positively with body mass index, waist circumference, triglycerides, total and low-density lipoprotein cholesterol, blood pressure, fasting insulin, and homeostatic model assessment of insulin resistance and negatively with high-density lipoprotein cholesterol and adiponectin (all P &lt; 0.001). In the highest RBP4 quartile, the MetS risk was significantly higher (odds ratio 2.58; 95% confidence interval 2.08–3.20) than in the lowest quartile after adjustment for potential confounders. This association remained strong (odds ratio 2.25; 95% confidence interval 1.72–2.94) after further controlling for C-reactive protein, adiponectin, homeostatic model assessment of insulin resistance, and body mass index. Conclusions: This first large-scale population study shows that elevated RBP4 levels are strongly and independently associated with MetS. Prospective studies are needed to establish the role of RBP4 in the development of MetS and related diseases.

scholarly journals Sex differences in the link between blood cobalt concentrations and insulin resistance in adults without diabetes

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Yong Chen ◽  
Haobin Huang ◽  
Xiaowei He ◽  
Weiwei Duan ◽  
Xuming Mo
Keyword(s):  
Insulin Resistance ◽  
Linear Regression ◽  
Linear Models ◽  
Fasting Glucose ◽  
Adult Population ◽  
Linear Regression Analysis ◽  
Cobalt Concentration ◽  
Model Assessment ◽  
Homeostatic Model Assessment ◽  
Cobalt Exposure

Abstract Background Little is known about the effects of environmental cobalt exposure on insulin resistance (IR) in the general adult population. We investigated the association between cobalt concentration and IR. Methods A total of 1281 subjects aged more than 20 years with complete blood cobalt data were identified from the National Health and Nutrition Examination Survey (NHANES) 2015–2016 cycle. Blood cobalt levels were analyzed for their association with IR among all populations and subgroups by sex. Regression coefficients and 95% confidence intervals (CIs) of blood cobalt concentrations in association with fasting glucose, insulin and homeostatic model assessment of insulin resistance (HOMA-IR) were estimated using multivariate linear regression after adjusting for age, sex, ethnicity, alcohol consumption, body mass index, education level, and household income. A multivariate generalized linear regression analysis was further carried out to explore the association between cobalt exposure and IR. Results A negative association between blood cobalt concentration (coefficient = − 0.125, 95% CI − 0.234, − 0.015; P = 0.026) and HOMA-IR in female adults in the age- and sex-adjusted model was observed. However, no associations with HOMA-IR, fasting glucose, or insulin were found in the overall population. In the generalized linear models, participants with the lowest cobalt levels had a 2.74% (95% CI 0.04%, 5.50%) increase in HOMA-IR (P for trend = 0.031) compared with subjects with the highest cobalt levels. Restricted cubic spline regression suggested that a non-linear relationship may exist between blood cobalt and HOMA-IR. Conclusions These results provide epidemiological evidence that low levels of blood cobalt are negatively associated with HOMA-IR in female adults.

Effect of exercise duration on postprandial hypertriglyceridemia in men with metabolic syndrome

2007 ◽  
Vol 103 (4) ◽  
pp. 1339-1345 ◽  
Author(s):  
John Q. Zhang ◽  
Lisa L. Ji ◽  
Donovan L. Fogt ◽  
Vicki S. Fretwell
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Exercise Duration ◽  
Peak Oxygen Consumption ◽  
Moderate Intensity ◽  
Model Assessment ◽  
Homeostatic Model Assessment ◽  
Postprandial Hypertriglyceridemia ◽  
Fasting Plasma Glucose Concentration ◽  
Fat Meal

We examined the effect of exercise on postprandial hypertriglyceridemia (PHTG) and insulin resistance in individuals with metabolic syndrome. Subjects were 10 hypertriglyceridemic men with insulin resistance [age = 35.0 ± 1.8 yr, body weight = 90.7 ± 3.3 kg, fasting triglyceride (TG) = 2.6 ± 0.4 mmol/l, peak oxygen consumption (V̇o2peak) = 36.0 ± 1.3 ml−1·kg−1·min−1, and homeostatic model assessment of insulin resistance (HOMA-IR)= 3.1 ± 0.3]. Each participant performed a control trial (Ctr; no exercise) and three exercise trials at 60% of their V̇o2peak for 30 min (30 min-Ex), 45 min (45 min-Ex) and 60 min (60 min-Ex). All subjects had a fat meal in each trial. In the exercise trials, the subject jogged on a treadmill for a designated duration of 12 h before ingestion of a fat meal. Blood samples were taken at 0 h (before the meal) and at 2, 4, 6, and 8 h after the meal. The plasma TG, area score under TG concentration curve over an 8-h period (TG AUC) after the meal, and HOMA-IR were analyzed. The TG AUC scores in both the 45 min-Ex and 60 min-Ex were 31 and 33% lower, respectively, than Ctr ( P < 0.02). There were no significant differences in TG AUC scores between the 30 min-Ex and the Ctr ( P > 0.05). There were no trial differences in the fasting plasma glucose concentration ( P > 0.05). HOMA-IR values in the 30 min-Ex, 45 min-Ex, and 60 min-Ex trials were lower than the Ctr ( P < 0.03), but no significant differences were found in HOMA-IR among the exercise trials. The results suggest that for physically inactive individuals with metabolic syndrome, exercising at moderate intensity for 45 min effectively attenuates PHTG while exercise for 30 min is sufficient to improve insulin action.

scholarly journals Psoriasis Severity—A Risk Factor of Insulin Resistance Independent of Metabolic Syndrome

2018 ◽  
Vol 15 (7) ◽  
pp. 1486 ◽  
Author(s):  
Melita Polic ◽  
Maja Miskulin ◽  
Martina Smolic ◽  
Kristina Kralik ◽  
Ivan Miskulin ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Risk Factor ◽  
Cardiovascular Risk ◽  
Beta Cell Function ◽  
Cell Function ◽  
Model Assessment ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model ◽  
Psoriasis Severity

Background: It is still debatable whether psoriasis increases cardiovascular risk indirectly since it is associated with metabolic syndrome or is an independent cardiovascular risk factor. The aim of this study was to evaluate psoriasis severity as an independent predictor of insulin resistance (IR) irrespective of the presence of metabolic syndrome (MetS). Methods: This was a case control study including 128 patients stratified into two groups: patients with psoriasis and metabolic syndrome vs. patients with psoriasis and no metabolic syndrome. MetS was diagnosed according to ATP III criteria with homeostatic model assessment of insulin resistance (HOMA-IR), as well as a homeostatic model assessment of beta cell function (HOMA-β) were calculated. Results: Compared to subjects without metabolic syndrome, patients with metabolic syndrome had a significantly higher Psoriasis Area Severity Index (PASI) values (p < 0.001). The strongest correlation was established for HOMA-IR and the PASI index (p < 0.001), even after adjustment for body mass index (BMI) in regression analysis model. In patients without MetS and severe forms of disease, the HOMA-IR and HOMA-β values were significantly higher compared to mild forms of disease (p < 0.001 for all) while in subjects with MetS no difference was established for HOMA-IR or HOMA-β based on disease severity. Conclusions: Psoriasis severity is an independent risk factor of HOMA-IR, the strongest association being present in the non-MetS group, who still had preserved beta cell function suggesting direct promotion of atherosclerosis via insulin resistance depending on the disease severity, but irrespective of the presence of metabolic syndrome.

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