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.

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 < 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 < 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 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.

scholarly journals Thyroid hormone levels associate with insulin resistance in obese women with metabolic syndrome in Saudi Arabia: A cross-sectional study

2019 ◽  
Author(s):  
Manal Abdulaziz Binobead ◽  
Nawal Abdullah Al Badr ◽  
Wahidah Hazzaa Al-Qahtani ◽  
Sahar Abdulaziz AlSedairy ◽  
Tarfa Ibrahim Albrahim ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Obese Women ◽  
Free Triiodothyronine ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model

AbstractBackgroundThe obesity epidemic is a pressing global health concern, as obesity rates continue to climb worldwide. The current study was aimed mainly to evaluate the correlation between thyroid hormones and homeostatic model assessment of insulin resistance in Saudi obese women with metabolic syndrome.Methods100 obese women aged 25 to 55 years were clinically evaluated, from which 72 women were diagnosed with the metabolic syndrome and 28 without metabolic syndrome. Insulin resistance was quantified using the homeostatic model assessment of insulin resistance method and the resulting values were analyzed for association with demographic, clinical, and metabolic parameters.ResultsThis analysis revealed that body mass index, systolic blood pressure, and biochemical parameters and fasting insulin showed statistically higher levels in the group with metabolic syndrome compared to the group without metabolic syndrome. Similarly, values of waist circumference, fat ratio, cholesterol, free thyroxine, free triiodothyronine and homeostatic model assessment of insulin resistance results were higher in the group with metabolic syndrome as compared to the group without metabolic syndrome. Correlation analysis revealed positive association of thyroid-stimulating hormone with waist circumference (P=0.01), total cholesterol (P=0.002), fasting insulin (P=0.03) and homeostatic model assessment of insulin resistance results (P<0.01), and negatively associated with diastolic blood pressure (P=0.013) and age (P=0.05). Free thyroxine was positively associated with triglyceride level (P=0.003) and negatively associated with homeostatic model assessment of insulin resistance values (P=0.035) and fasting insulin. Free triiodothyronine was positively associated with body mass index (P=0.032) and waist circumference (P= 0.006) and negatively with age (P=0.004) and total cholesterol (P=0.001).Homeostatic model assessment of insulin resistance test revealed elevated level with positive association of body mass index, waist circumference, biochemical parameters and thyroid-stimulating hormone in insulin resistant obese women. Higher level of free triiodothyronine was found to be associated with low insulin sensitivity.

scholarly journals Association Between First Episode Schizophrenia, Metabolic Syndrome and Insulin Resistance-Related Proteins in Female Balb/C Mice

2018 ◽  
Vol 7 ◽  
pp. e692
Author(s):  
Haseeb Sattar ◽  
Huqun Li ◽  
Yong Han ◽  
Hong Zhou ◽  
Sanaz Darbalaei ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Weight ◽  
Adipose Tissue ◽  
First Episode ◽  
Model Assessment ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model ◽  
Ptp 1B ◽  
Related Proteins

Background: Metabolic syndrome is a group of different disorders mainly includes, insulin resistance, obesity, cerebrovascular disorders, dyslipidemia, which leads to increase mortality. Patients suffering from related psychotic disorders such as schizophrenia are at the higher risk of developing metabolic syndrome. The aim of this study was to evaluate the association between the first episode of schizophrenia, metabolic syndrome and insulin resistance-related proteins in blood and adipose tissue of mice.Materials and Methods: Twelve, female Balb/c mice were randomly divided into two groups; one group was injected intraperitoneal MK-801 (0.6mg/kg/d) to induce schizophrenia, and other group received the 0.9% normal saline for two weeks. Body weight, fasting blood glucose (FBG), oral glucose tolerance (OGT), and Homeostatic model assessment (HOMA), were observed. Blood and adipose tissue were collected and Western blotting was done to evaluate the insulin resistance related proteins (GGPPS, FAT, PTP-1B, GRK2, ATGL, FGF21, and PGC-1α) by using GAPDH as an internal standard. Results: There was a significant increase in mean body weight in schizophrenic group (21.76 vs 22.81, P=004). On day 14, the FBG, insulin concentrations and Homeostatic model assessment and insulin resistance (HOME-IR) were high in schizhphrenic group vs control group, e.g. 5.3±0.6 vs 3.47±0.2 (P=0.0001), 28.9±2.2 vs 23.3±0.6 (P<0.005) and 9.2±1.3 vs 3.9±0.2 (P=0.0001) . Impaired glucose tolerance deranged from 4.8mmol/L to 6.4mmol/L. Western blotting showed a marked increase in the expression of GGPPS, FAT, ATGL, and FGF21 proteins in monocytes and PTP-1B, GRK2, and PGC-1α ratios in adipose tissues.Conclusion: There was a positive relation between schizophrenia and metabolic syndrome e.g. insulin resistance and obesity. Certain proteins in adipocytes and blood were responsible for causing insulin resistance. [GMJ.2018;7:e692]

scholarly journals Impact of Long-Term Dexamethasone Therapy on the Metabolic Profile of Patients With 21-Hydroxylase Deficiency

2019 ◽  
Vol 3 (8) ◽  
pp. 1574-1582 ◽  
Author(s):  
Carlos E Seraphim ◽  
Juliana S Frassei ◽  
Bruna S Pessoa ◽  
Renata C Scalco ◽  
Mirela C Miranda ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
The Body ◽  
Model Assessment ◽  
Hydroxylase Deficiency ◽  
Homeostatic Model Assessment ◽  
The Mean ◽  
Homeostatic Model ◽  
21 Hydroxylase Deficiency

Abstract Context No consensus has been reached regarding the glucocorticoid (GC) to use for congenital adrenal hyperplasia (CAH) during adulthood. Dexamethasone (DEX), because of its longer half-life, could improve compliance; however, no data are available regarding the long-term effects of DEX therapy. Objective To analyze the metabolic effect of DEX therapy for adults with CAH. Design Retrospective analysis of a CAH cohort receiving DEX therapy. Setting Medical School Hospital, São Paulo University, Brazil. Participants Sixty patients with well-controlled classic CAH (41 women; 30 with salt-wasting) receiving DEX after achievement of final height. Interventions None. Main Outcome Measures Clinical, laboratory, and metabolic data were compared immediately before DEX and at the last evaluation. Results The mean age at the last evaluation was 31.9 ± 9.6 years, and the duration of DEX therapy was 11.5 ± 4.9 years. The mean DEX dose was 0.18 ± 0.07 mg/m2/d. The body mass index SD score (1.6 ± 1.6 vs 1.5 ± 1.5 mg/m2; P = 0.65) and obesity prevalence (27% vs 27%) did not differ between evaluations. However, the waist/height ratio (WtHR) had increased from 0.54 ± 0.08 to 0.56 ± 0.1 (P = 0.001). An increase in the homeostatic model assessment for insulin resistance index (2.5 ± 1.3 vs 2.8 ± 1.7; P = 0.03) was observed and positively correlated with the WtHR (r = 0.54). The prevalence of metabolic syndrome (7% vs 10%; P = 0.7) and hypertension (15% vs 13.3%; P = 0.8) did not differ significantly between the two evaluations. Conclusions Long-term and low-dose DEX therapy did not lead to increases in obesity or metabolic syndrome, although it was associated with an increased WtHR and greater homeostatic model assessment for insulin resistance observed with chronic use of GCs. DEX appears to be an acceptable option to treat adult CAH.

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 The Relationship between Insulin Resistance and the Cardiovascular Biomarker Growth Differentiation Factor-15 in Obese Patients

2011 ◽  
Vol 57 (2) ◽  
pp. 309-316 ◽  
Author(s):  
Greisa Vila ◽  
Michaela Riedl ◽  
Christian Anderwald ◽  
Michael Resl ◽  
Ammon Handisurya ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Gastric Bypass ◽  
Insulin Sensitivity ◽  
Oral Glucose ◽  
Model Assessment ◽  
Obese Patients ◽  
Growth Differentiation Factor 15 ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model ◽  
The Relationship

BACKGROUND Growth differentiation factor-15 (GDF-15) is a stress-responsive cytokine linked to obesity comorbidities such as cardiovascular disease, inflammation, and cancer. GDF-15 also has adipokine properties and recently emerged as a prognostic biomarker for cardiovascular events. METHODS We evaluated the relationship of plasma GDF-15 concentrations with parameters of obesity, inflammation, and glucose and lipid metabolism in a cohort of 118 morbidly obese patients [mean (SD) age 37.2 (12) years, 89 females, 29 males] and 30 age- and sex-matched healthy lean individuals. All study participants underwent a 75-g oral glucose tolerance test; 28 patients were studied before and 1 year after Roux-en-Y gastric bypass surgery. RESULTS Obese individuals displayed increased plasma GDF-15 concentrations (P &lt; 0.001), with highest concentrations observed in patients with type 2 diabetes. GDF-15 was positively correlated with age, waist-to-height ratio, mean arterial blood pressure, triglycerides, creatinine, glucose, insulin, C-peptide, hemoglobin A1c, and homeostatic model assessment insulin resistance index and negatively correlated with oral glucose insulin sensitivity. Age, homeostatic model assessment index, oral glucose insulin sensitivity, and creatinine were independent predictors of GDF-15 concentrations. Roux-en-Y gastric bypass led to a significant reduction in weight, leptin, insulin, and insulin resistance, but further increased GDF-15 concentrations (P &lt; 0.001). CONCLUSIONS The associations between circulating GDF-15 concentrations and age, insulin resistance, and creatinine might account for the additional cardiovascular predictive information of GDF-15 compared to traditional risk factors. Nevertheless, GDF-15 changes following bariatric surgery suggest an indirect relationship between GDF-15 and insulin resistance. The clinical utility of GDF-15 as a biomarker might be limited until the pathways directly controlling GDF-15 concentrations are better understood.

scholarly journals Circulating Irisin in Relation to Insulin Resistance and the Metabolic Syndrome

2013 ◽  
Vol 98 (12) ◽  
pp. 4899-4907 ◽  
Author(s):  
Kyung Hee Park ◽  
Lesya Zaichenko ◽  
Mary Brinkoetter ◽  
Bindiya Thakkar ◽  
Ayse Sahin-Efe ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Cvd Risk ◽  
Baseline Serum ◽  
The Metabolic Syndrome ◽  
Increased Risk

Context: Irisin, a recently identified hormone, has been proposed to regulate energy homeostasis and obesity in mice. Whether irisin levels are associated with risk of the metabolic syndrome (MetS), cardiometabolic variables, and cardiovascular disease (CVD) risk in humans remains unknown. Objective: Our objective was to assess the associations between baseline serum irisin levels and MetS, cardiometabolic variables, and CVD risk. Design, Setting, and Subjects: We conducted a comparative cross-sectional evaluation of baseline circulating levels of the novel hormone irisin and the established adipokine adiponectin with MetS, cardiometabolic variables, and CVD risk in a sample of 151 subjects. Results: Baseline irisin levels were significantly higher in subjects with MetS than in subjects without MetS. Irisin was associated negatively with adiponectin (r = −0.4, P &lt; .001) and positively with body mass index (r = 0.22, P = .008), systolic (r = 0.17, P = .04) and diastolic (r = 0.27, P = .001) blood pressure, fasting glucose (r = 0.25, P = .002), triglycerides (r = 0.25, P = .003), and homeostasis model assessment for insulin resistance (r = 0.33, P &lt; .001). After adjustment for potential confounders, including body mass index, subjects in the highest tertile of irisin levels were more likely to have MetS (odds ratio [OR] = 9.44, 95% confidence interval [CI] = 2.66–33.44), elevated fasting blood glucose (OR = 5.80, 95% CI = 1.72–19.60), high triglycerides (OR = 3.89, 95% CI = 1.16–13.03), and low high-density lipoprotein cholesterol (OR = 3.30, 95% CI = 1.18–9.20). Irisin was independently associated with homeostasis model assessment for insulin resistance and general Framingham risk profile in multiple linear regression analyses after adjustment for confounders. Adiponectin demonstrated the expected associations with outcomes. Conclusions: Irisin is associated with increased risk of MetS, cardiometabolic variables, and CVD in humans, indicating either increased secretion by adipose/muscle tissue and/or a compensatory increase of irisin to overcome an underlying irisin resistance in these subjects.

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