Trp64Arg Polymorphism of the ADRB3 Gene Predicts Hyperuricemia Risk in a Population from Southern Spain

2009 ◽  
Vol 37 (2) ◽  
pp. 417-421 ◽  
Author(s):  
SONSOLES MORCILLO ◽  
GEMMA ROJO-MARTÍNEZ ◽  
GRACIA MARÍA MARTÍN-NÚÑEZ ◽  
JUAN MIGUEL GÓMEZ-ZUMAQUERO ◽  
EDUARDO GARCÍA-FUENTES ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Multivariate Logistic Regression Analysis ◽  
Southern Spain ◽  
Metabolic Phenotype ◽  
Model Assessment ◽  
Trp64arg Polymorphism ◽  
The Metabolic Syndrome ◽  
Arg64 Allele

Objective. To study the role of Trp64Arg polymorphism of the ADRB3 gene in the risk of developing hyperuricemia in 1051 subjects from southern Spain, with a followup of 6 years. The inclusion of plasma levels of uric acid as a diagnostic criterion to define the metabolic syndrome is under discussion. Genes responsible for insulin resistance could contribute to the development of hyperuricemia. Previous cross-sectional studies have suggested ADRB3 as a possible candidate gene in the development of hyperuricemia and insulin resistance.Methods. A prospective, population-based, cohort study of 1051 persons examined in 1997–98 and reassessed at a second examination 6 years later. The metabolic phenotype was assessed at baseline and again at the followup. Insulin resistance was measured by homeostasis model assessment. The Trp64Arg polymorphism of ADRB3 was detected by real-time polymerase chain reaction. Subjects were considered normouricemic if their serum uric acid levels were ≤7 mg/dl for men or ≤ 6 mg/dl for women.Results. Carriers of the Arg64 allele who were normouricemic at baseline had a higher risk of developing hyperuricemia 6 years later (p = 0.017, OR 2.3, 95% CI 1.1–4.6). Multivariate logistic regression analysis showed that the OR of having hyperuricemia at the 6-year followup was significantly associated with the Arg64 allele, after adjusting for age, weight gain, baseline levels of triglycerides, serum uric acid, and insulin resistance (OR 3.1, 95% CI 1.3–7.1).Conclusion. Trp64Arg polymorphism of the ADRB3 gene predicted the risk of developing hyperuricemia in this adult population.

scholarly journals Uric acid as a future biomarker in diagnosing metabolic syndrome patients.

2019 ◽  
Vol 26 (11) ◽  
pp. 1911-1915
Author(s):  
Shameela Majeed ◽  
Brig. Rizwan Hashim
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Waist Circumference ◽  
Serum Uric Acid ◽  
Serum Triglyceride ◽  
Military Hospital ◽  
P Value ◽  
Model Assessment ◽  
R Value

Objectives: To determine the possible correlation between raised serum uric acid and various components of metabolic syndrome (Waist circumference, serum triglyceride, plasma HDL-C). Study Design: Descriptive case control. Setting: Army Medical College laboratory, Military Hospital, Rawalpindi. Period: One year (November 2014 to October 2015). Material and Methods: Total of 100 subjects were enrolled in this study. WHO criteria were applied for identifying the patients of metabolic syndrome. Fasting plasma glucose, lipid profile and serum uric acid levels were measured by using colorimetric enzymatic method. The formula of Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) was applied to calculate Insulin resistance. Collected data was analyzed by using SPSS- Window version-17 for statistical analysis. Results: Serum uric acid levels were turned out to be high in metabolic syndrome patients (cases= 6.1±1.3mg/dL) when compared with controls (having no symptoms of MetS=3.6±1.2; p<0.001). Uric acid showed a statistically significant positive association with waist circumference (WC=r-value:0.250; p-value:0.000) and serum triglyceride (TG=r-value:0.341; p-value:0.000). Negative correlation had been found between plasma high-density lipoprotein-cholesterol (HDL-C=r-value: -0.173; p-value:<0.01) with uric acid levels. Conclusion: Serum uric acid levels show a significant association with components of metabolic syndrome making it a powerful biomarker of metabolic syndrome and its various cardiometabolic complications.

scholarly journals Study on Association of Serum Uric Acid and Calcium with Insulin and its Resistance in Newly Diagnosed Type 2 Diabetes Mellitus Patients

2021 ◽  
Author(s):  
Saffalya Nayak ◽  
Roma Rattan ◽  
Manmath Kumar Mandal ◽  
Debjyoti Mohapatra
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Serum Insulin ◽  
Model Assessment ◽  
Newly Diagnosed

Introduction: Type 2 Diabetes Mellitus (T2DM) is a multifactorial pathological condition associated with insulin resistance and insulin deficiency. Uric acid and calcium have shown inconsistent association with occurrence of diabetes. Aim: To evaluate the role of uric acid and calcium in development of T2DM. Materials and Methods: This was a case-control study conducted in Department of Biochemistry from March to November 2019 in Sriram Chandra Bhanja, Medical College and Hospital, Cuttack, Odisha, India. A 180 subjects undertaken with the objective of finding any association of serum uric acid and calcium with insulin and its resistance in newly diagnosed T2DM cases. Newly diagnosed T2DM patients were taken as cases. Age and sex matched healthy individuals were taken as controls. Fasting Plasma Glucose (FPG), serum insulin, serum uric acid and ionised calcium were measured in autoanalyser and insulin resistance was calculated using Homeostasis Model Assessment for Insulin Resistance (HOMA- IR). Other confounding risk factors for T2DM like Body Mass Index (BMI), family history was taken into account. Results: A significant positive correlation of serum uric acid with serum insulin (p=0.029) and its resistance (p=0.032) in cases. Serum calcium was negatively associated with insulin and its resistance in both cases and controls. Regression models showed serum uric acid as a strong independent risk factor for levels of insulin and its resistance. Conclusion: The findings of the study showed that regular evaluation of serum uric acid and calcium should be done in those who are at risk of developing T2DM. Larger prospective studies will be required for definite assessment.

scholarly journals Serum Uric Acid Concentration in Overweight and Obese Women with Polycystic Ovary Syndrome / Nivelul acidului uric la femeile supraponderale și obeze cu sindromul ovarelor polichistice

2015 ◽  
Vol 23 (1) ◽  
Author(s):  
Letiția Elena Leuștean ◽  
Cristina Dimitriu ◽  
Simona Fica ◽  
Maria-Christina Ungureanu ◽  
Cristina Preda ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Uric Acid ◽  
Polycystic Ovary Syndrome ◽  
Serum Uric Acid ◽  
Polycystic Ovary ◽  
Linear Regression Analysis ◽  
Uric Acid Concentration ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Serum Uric Acid Concentration

AbstractBackground: Women with polycystic ovary syndrome (PCOS) are at high risk for the development of diabetes mellitus, hypertension and coronary heart disease. Due to the inverse correlation between serum uric acid and insulin sensitivity, the measurement of uric acid may provide a marker of insulin resistance. Objective: To establish the relationship between uric acid and markers of insulin resistance in obese and overweight women with PCOS. Methods: Serum uric acid levels were measured in 38 PCOS obese and overweight patients and 30 controls matched for age and body mass index (BMI). Anthropometric variables, plasma glucose and insulin levels were measured. Insulin resistance was evaluated by homeostasis model assessment (HOMA-IR). Results: No statistically significant differences in uric acid levels between PCOS and non-PCOS women were found. Serum uric acid levels were positively correlated with BMI, waist circumference, insulin and HOMA. Following the use of stepwise linear regression analysis, BMI was the only parameter retained by the regression model, responsible for 42.1% of the variability of serum uric acid levels. Conclusions: In PCOS women obesity seems to be the main determinant of plasma uric acid levels. Insulin and HOMA are also involved to a lesser extent, but their role remains to be clarified by further studies.

Serum uric acid is associated with metabolic risk factors for cardiovascular disease in the Uygur population

2009 ◽  
Vol 34 (6) ◽  
pp. 1032-1039 ◽  
Author(s):  
Nan F. Li ◽  
Hong M. Wang ◽  
Jin Yang ◽  
Ling Zhou ◽  
Xiao G. Yao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Resistance Index ◽  
Lipoprotein Cholesterol ◽  
Model Assessment

The prevalence of hyperuricemia is low in Uygurs, who have a high prevalence of cardiovascular risk factors such as hypertension, overweight–obesity, dyslipidemia, hyperglycemia, and insulin resistance (IR). This study sought to investigate the relationships between serum uric acid (UA) and these risk factors in this population. A cross-sectional study was conducted in Uygurs (859 males, 1268 females) aged 20 to 70 years. Demographic data, systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI), and fasting and postprandial blood were obtained, and biological measurements were determined. The mean of BMI, SBP, DBP, total cholesterol, high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c), triglycerides, fasting blood glucose, fasting insulin, and homeostasis model assessment insulin resistance index (HOMA-IR), and the prevalence of hypertension, IR, hyperglycemia, overweight–obesity, hypercholesteremia, hyper-LDL-c, and hypertriglyceridemia increased with UA but the prevalence of hypo-HDL-c decreased (p < 0.05). Logistic regression analysis showed that the odds ratios for IR, overweight–obesity, hypercholesteremia, hyper-LDL-c, and hypertriglyceridemia against the lowest UA group increased but decreased for hypo-HDL-c (p < 0.05). The UA in the hypo-HDL-c group was lower than that of the controls; the prevalence of hypo-HDL-c in hyperuricemia subjects was lower than in those with normal UA (p < 0.05). But the opposite results were observed between overweight–obesity, hyperglycemia, IR, hypercholesteremia, hypertriglyceridemia, and hyper-LDL-c and correspondence controls, respectively (p < 0.05). In Uygur, elevated UA is associated with overweight–obesity, hypercholesteremia, hyper-LDL-c, hypertriglyceridemia, hyperglycemia, and IR. The HDL-c level significantly increases with UA, whereas the prevalence of hypo-HDL-c decreases. Further studies are needed to clarify why UA is positively correlated to HDL-c.

scholarly journals Serum uric acid levels are associated with homeostasis model assessment in obese nondiabetic patients: HOMA and uric acid

2017 ◽  
Vol 8 (10) ◽  
pp. 141-146 ◽  
Author(s):  
Cesar I. Elizalde-Barrera ◽  
Teresa Estrada-García ◽  
Jose J. Lozano-Nuevo ◽  
Ana K. Garro-Almendaro ◽  
Catalina López-Saucedo ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Cell Function ◽  
Normal Weight ◽  
Model Assessment ◽  
Obese Patients ◽  
Β Cell ◽  
Homeostatic Model Assessment ◽  
Β Cell Function

Background: Hyperuricemia leads to insulin resistance, whereas insulin resistance decreases renal excretion of uric acid. The aim of this study was to evaluate whether there is a correlation between serum uric acid levels with homeostatic model assessment (HOMA) 1 in nondiabetic patients. Methods: We evaluated 88 nondiabetic patients, in whom uric acid levels were measured, in all of them HOMA of β-cell function (HOMA 1B) and HOMA of insulin resistance (HOMA 1IR) scores were performed. Uric acid and the HOMA 1 values were correlated using the Pearson coefficient. Results: We did not find any correlation between uric acid levels with both HOMA 1B ( r = 0.102, p = 0.343), nor with HOMA 1IR ( r = 0.158, p = 0.117). When patients were analyzed by sex, we found a significant correlation with HOMA 1IR (0.278, p = 0.01), but not with HOMA 1B (0.138, p = 0.257) in women. We found a correlation with HOMA 1B in men ( r = 0.37, p = 0.044), but not with HOMA 1IR: 0.203, p = 0.283. The analysis performed based on body mass index did not show correlation in the patients with normal weight, (HOMA 1B r = 0.08, p = 0.5, HOMA 1IR = 0.034, p = 0.793), nor in the patients who were overweight (HOMA 1B: r = 0.05, p = 0.76, HOMA 1IR r = 0.145, p = 0.43). However, a significant correlation between uricemia with both HOMA 1B (0.559, p < 0.001), and HOMA 1IR (0.326, p < 0.05), was observed in obese patients. Conclusion: Our results suggest that serum uric acid levels seem to be associated with insulin resistance in women, and in obese patients, but not in nonobese men. Uric acid also modifies β-cell function in men and in obese patients.

scholarly journals Homeostasis model assessment of insulin resistance (HOMA-IR) and metabolic syndrome at baseline of a multicentric Brazilian cohort: ELSA-Brasil study

2020 ◽  
Vol 36 (8) ◽  
Author(s):  
Maria de Fátima Haueisen Sander Diniz ◽  
Alline Maria Rezende Beleigoli ◽  
Maria Inês Schmidt ◽  
Bruce B. Duncan ◽  
Antônio Luiz P. Ribeiro ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Model Assessment ◽  
Adult Health ◽  
Homeostasis Model Assessment ◽  
The Metabolic Syndrome ◽  
Brazilian Cohort ◽  
Overweight Or Obesity

Abstract: Homeostasis model assessment of insulin resistance (HOMA-IR) is a method to measure insulin resistance. HOMA-IR cut-offs for identifying metabolic syndrome might vary across populations and body mass index (BMI) levels. We aimed to investigate HOMA-insulin resistance cut-offs that best discriminate individuals with insulin resistance and with metabolic syndrome for each BMI category in a large sample of adults without diabetes in the baseline of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Among the 12,313 participants with mean age of 51.2 (SD 8.9) years, the prevalence of metabolic syndrome was 34.6%, and 60.1% had overweight or obesity. The prevalence of metabolic syndrome among normal weight, overweight and obesity categories were, respectively, 13%, 43.2% and 60.7%. The point of maximum combined sensitivity and specificity of HOMA-IR to discriminate the metabolic syndrome was 2.35 in the whole sample, with increasing values at higher BMI categories. This investigation contributes to better understanding HOMA-IR values associated with insulin resistance and metabolic syndrome in a large Brazilian adult sample, and that use of cut-off points according to ROC curve may be the better strategy. It also suggests that different values might be appropriate across BMI categories.

scholarly journals The application value of serum 25(OH)D3, uric acid, triglyceride, and homeostasis model assessment of insulin resistance in male patients with hyperuricemia combined with hypogonadism

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Qun Zhang ◽  
Wei Chen ◽  
Canqin Yun ◽  
Juan Wang
Keyword(s):  
Insulin Resistance ◽  
Logistic Regression ◽  
Uric Acid ◽  
Free Testosterone ◽  
Normal Group ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Alcoholic Fatty Liver ◽  
Male Patients ◽  
Function Group

Abstract Background The purpose of this study was to investigate the application value of serum 25(OH)D3, uric acid, triglyceride (TG), and homeostasis model assessment of insulin resistance (HOMA-IR) in male patients with hyperuricemia combined with hypogonadism. Methods From August 2018 to August 2020, a total of 198 male patients with primary hyperuricemia were prospectively enrolled in our hospital for inpatient treatment in the department of Metabolism and Endocrinology. They are divided into normal gonadal function group (normal group, n = 117) and hypogonadal function group (hypogonadism group, n = 81), according to free testosterone (FT) level, International Index of Erectile Function (IIEF-5), and androgen deficiency in the aging male (ADAM) questionnaires. Laboratory indexes were compared between two groups. Multivariate logistic regression was applied to analyze the influencing factors of hypogonadism. Results Among the 198 hyperuricemia patients, 40.91 % were hypogonadism. Compared with the normal group, the BMI, waist circumference (WC), and the prevalence of non-alcoholic fatty liver disease (NAFLD), hyperlipidemia (HLP), and obesity (OB) in the hypogonadism group were higher, and the difference was statistically significant (P < 0.05, respectively). The levels of fasting plasma glucose (FPG), fasting insulin (FINS), homeostasis model assessment of insulin resistance (HOMA-IR), triacylglycerol (TG), serum uric acid (SUA), alanine transaminase (ALT) of hypogonadism group were higher than those of normal group, while the levels of TT, FT, E2, 25(OH)D3 of hypogonadism group were lower than those of normal group (P < 0.05, respectively). Pearson’s linear correlation was used to analyze the correlation between the indicators with significant differences in general data and laboratory indicators and hypogonadism. BMI, WC, HOMA-IR, TG, SUA, TT, FT, 25(OH)D3, E2 were positively correlated with hypogonadism (r = 0.556, 0.139, 0.473, 0.143, 0.134, 0.462, 0.419, 0.572, 0.601, P = 0.012, 0.027, 0.018, 0.019, 0.028, 0.029, 0.030, 0.009, 0.003, respectively). Taking the above indicators as independent variables and hypogonadism as the dependent variable, logistic regression analysis found that the risk factors for hypogonadism were SUA, WC, BMI, HOMA-IR, TG, TT, FT, E2, and 25(OH) D3. Conclusions Serum 25(OH)D3, SUA, HOMA-IR, TG levels were positively correlated with male hyperuricemia patients with hypogonadism. They have important application value in the diagnosis of male hyperuricemia patients with hypogonadism.

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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