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.

Abstract 10397: Higher Waist Circumference is the Start of Cardiovascular Structural and Functional Changes in Childhood Obesity

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Kenji Harada ◽  
Yukiko Harada ◽  
Manatomo Toyono
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Waist Circumference ◽  
Fasting Glucose ◽  
Volume Ratio ◽  
Left Ventricular ◽  
Model Assessment ◽  
Functional Changes ◽  
Late Diastole

Background: Higher waist circumference (WC) is associated with cardiovascular disease, however, little is known about the association between WC and cardiovascular functional change in children. The purpose of this study is to examine the relationships between numbers of cardiovascular risk factors and left ventricular (LV) geometry and function in children. Methods: Echocardiography was performed in 311 children aged 7 to 13 years. Left atrial (LA) diameter, LV end-diastolic volume, ejection fraction, mass, mass-to-volume ratio, and carotid artery intima media-thickness (IMT) were measured. Transmitral peak flow velocities during early and late diastole and mitral annular myocardial velocities during early (Em) and late diastole (Am) were measured. LA systolic force and aortic stiffness were calculated. Lipids, uric acid, fasting glucose, insulin, high sensitive CRP, and homeostasis model assessment for insulin resistance (HOMA-IR) were also assessed. Subjects were divided into 4 groups: A group, WC within normal range; B group, increased WC; C group, increased WC plus any one of the following individual factors of hypertension, dyslipidemia (low high-density lipoprotein-cholesterol and/or high triglyceride), and raised fasting glucose; D group, metabolic syndrome. Results: Compared with the A group, LA diameter, mass/volume ratio, HOMA-IR, and uric acid were greater in the B group (p<0.05 for all). With increasing number of metabolic syndrome disorders (C and D groups), dyslipidemia, increased Hs-CRP, decreased Em/Am, enhanced LA systolic force, increased IMT, and aortic stiffening were observed (Table). Conclusions: Higher WC is associated with insulin resistance, hyperuricemia, and concentric LV hypertrophy. Cardiovascular structural and functional changes become apparent with increasing number of metabolic syndrome disorders. Our findings suggest that primary prevention programs should be initiated in children with increased WC.

scholarly journals Proinsulin to insulin ratio is associated with incident type 2 diabetes but not with vascular complications in the KORA F4/FF4 study

2020 ◽  
Vol 8 (1) ◽  
pp. e001425
Author(s):  
Cornelia Then ◽  
Christina Gar ◽  
Barbara Thorand ◽  
Cornelia Huth ◽  
Holger Then ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Vascular Complications ◽  
Model Assessment ◽  
Incident Type ◽  
The Metabolic Syndrome ◽  
Incident Type 2 Diabetes

IntroductionWe investigated the association of the proinsulin to insulin ratio (PIR) with prevalent and incident type 2 diabetes (T2D), components of the metabolic syndrome, and renal and cardiovascular outcomes in the population-based Cooperative Health Research in the Region of Augsburg (KORA) F4 study (2006–2008)/FF4 study (2013–2014).Research design and methodsThe analyses included 1514 participants of the KORA F4 study at baseline and 1132 participants of the KORA FF4 study after a median follow-up time of 6.6 years. All-cause and cardiovascular mortality as well as cardiovascular events were analyzed after a median time of 9.1 and 8.6 years, respectively. The association of PIR with T2D, renal and cardiovascular characteristics and mortality were assessed using logistic regression models. Linear regression analyses were used to assess the association of PIR with components of the metabolic syndrome.ResultsAfter adjustment for sex, age, body mass index (BMI), and physical activity, PIR was associated with prevalent (OR: 2.24; 95% CI 1.81 to 2.77; p<0.001) and incident T2D (OR: 1.66; 95% CI 1.26 to 2.17; p<0.001). PIR was associated with fasting glucose (β per SD: 0.11±0.02; p<0.001) and HbA1c (β: 0.21±0.02; p<0.001). However, PIR was not positively associated with other components of the metabolic syndrome and was even inversely associated with waist circumference (β: −0.22±0.03; p<0.001), BMI (β: −0.11±0.03; p<0.001) and homeostatic model assessment of insulin resistance (β: −0.22±0.02; p<0.001). PIR was not significantly associated with the intima-media thickness (IMT), decline of kidney function, incident albuminuria, myocardial infarction, stroke, cardiovascular or all-cause mortality.ConclusionsIn the KORA F4/FF4 cohort, PIR was positively associated with prevalent and incident T2D, but inversely associated with waist circumference, BMI and insulin resistance, suggesting that PIR might serve as a biomarker for T2D risk independently of the metabolic syndrome, but not for microvascular or macrovascular complications.

scholarly journals Serum uric acid and its association with metabolic syndrome and carotid atherosclerosis in obese children

2009 ◽  
Vol 160 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Lucia Pacifico ◽  
Vito Cantisani ◽  
Caterina Anania ◽  
Elisabetta Bonaiuto ◽  
Francesco Martino ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Carotid Atherosclerosis ◽  
Resistance Index ◽  
Model Assessment ◽  
Obese Children ◽  
Pubertal Stage ◽  
Carotid Imt

ObjectiveThe association between hyperuricemia, metabolic syndrome (MS), and atherosclerotic vascular disease has been reported in adults, but very little is known about this association in children. The aims of our study were to ascertain the correlates of uric acid (UA) in a sample of obese children, and to investigate whether UA is associated with carotid intima-media thickness (IMT) independently from classical risk factors including MS.MethodsWe analyzed carotid IMT along with serum triglycerides, total and high-density lipoprotein cholesterol, glucose, insulin, insulin resistance index (as homeostasis model assessment of insulin resistance), alanine aminotransferase, γ-glutamyltransferase, creatinine, and UA in 120 obese children and 50 healthy control children.ResultsUA concentrations were significantly higher in obese children compared with controls; moreover, they correlated with the most established cardiovascular risk factors. In the group of obese children, after adjustment for age, sex, pubertal stage, and creatinine, an independent association between UA levels and the presence of MS syndrome was observed (unstandardized coefficient, 0.044 (95% confidence intervals (CI) 0.015–0.072); P<0.01). Carotid IMT significantly increased in the fourth quartile of UA compared with that in the first, second, and third quartile (0.49 (0.46–0.53), 0.53 (0.49–0.56), and 0.55 (0.52–0.59) vs 0.61 (95% CI, 0.58–0.64); P<0.01). When multivariate analysis was performed after adjusting for age, gender, pubertal stage, creatinine, and MS (considered as a single clinical entity), or the individual components of MS simultaneously included, the association between UA and carotid IMT was significant (P<0.01).ConclusionsIn obese children and adolescents, increased UA levels are associated with carotid atherosclerosis.

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.

Insulin resistance, serum uric acid and metabolic syndrome are linked to cardiovascular dysfunction in pediatric obesity

2017 ◽  
Vol 249 ◽  
pp. 366-371 ◽  
Author(s):  
Giulia Genoni ◽  
Veronica Menegon ◽  
Gioel Gabrio Secco ◽  
Michela Sonzini ◽  
Massimiliano Martelli ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Pediatric Obesity ◽  
Cardiovascular Dysfunction

The Relationship of the Hypertension, Insulin Resistance, and Metabolic Syndrome in the Serum Uric Acid Level

2004 ◽  
Vol 34 (9) ◽  
pp. 874 ◽  
Author(s):  
Tae Woo Yoo ◽  
Ki Chul Sung ◽  
Young Choon Kim ◽  
Sang Tai Hwang ◽  
Se Yong Oh ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Uric Acid Level ◽  
Acid Level ◽  
Serum Uric Acid Level ◽  
Relationship Of ◽  
The Relationship

scholarly journals Relationship Between Serum Uric Acid Concentration and Insulin Resistance and Metabolic Syndrome

2005 ◽  
Vol 69 (8) ◽  
pp. 928-933 ◽  
Author(s):  
Tae Woo Yoo ◽  
Ki Chul Sung ◽  
Hun Sub Shin ◽  
Byung Jin Kim ◽  
Bum Soo Kim ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Acid Concentration ◽  
Uric Acid Concentration ◽  
Serum Uric Acid Concentration

Associations between heart rate variability, metabolic syndrome risk factors, and insulin resistance

2015 ◽  
Vol 40 (7) ◽  
pp. 734-740 ◽  
Author(s):  
Melanie I. Stuckey ◽  
Antti Kiviniemi ◽  
Dawn P. Gill ◽  
J. Kevin Shoemaker ◽  
Robert J. Petrella
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Standard Deviation ◽  
Waist Circumference ◽  
Frequency Domain ◽  
Model Assessment ◽  
Poincaré Plot

The purpose of this study was to examine differences in heart rate variability (HRV) in metabolic syndrome (MetS) and to determine associations between HRV parameters, MetS risk factors, and insulin resistance (homeostasis model assessment for insulin resistance (HOMA-IR)). Participants (n = 220; aged 23–70 years) were assessed for MetS risk factors (waist circumference, blood pressure, fasting plasma glucose, triglycerides, and high-density lipoprotein cholesterol) and 5-min supine HRV (time and frequency domain and nonlinear). HRV was compared between those with 3 or more (MetS+) and those with 2 or fewer MetS risk factors (MetS–). Multiple linear regression models were built for each HRV parameter to investigate associations with MetS risk factors and HOMA-IR. Data with normal distribution are presented as means ± SD and those without as median [interquartile range]. In women, standard deviation of R–R intervals 38.0 [27.0] ms, 44.5 [29.3] ms; p = 0.020), low-frequency power (5.73 ± 1.06 ln ms2, 6.13 ± 1.05 ln ms2; p = 0.022), and the standard deviation of the length of the Poincaré plot (46.8 [31.6] ms, 58.4 [29.9] ms; p = 0.014) were lower and heart rate was higher (68 [13] beats/min, 64 [12] beats/min; p = 0. 018) in MetS+ compared with MetS–, with no differences in men. Waist circumference was most commonly associated with HRV, especially frequency domain parameters. HOMA-IR was associated with heart rate. In conclusion, MetS+ women had a less favourable HRV profile than MetS– women, but there were no differences in men. HOMA-IR was associated with heart rate, not HRV.

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.

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