Browsing by Author "Kavaric, Nebojsa (56786431000)"

Introduction: Previous studies have examined the correlation between hyperandrogenemia and non-alcoholic fatty liver disease (NAFLD) in women and showed contradictory results. Therefore, we aimed to evaluate the relationship between testosterone level and Fatty Liver Index (FLI), as a surrogate marker for NAFLD, in a cohort of postmenopausal women. Material and methods: A total of 150 postmenopausal women were included in this cross-sectional study. Anthropometric and biochemical parameters, as well as blood pressure, were obtained. Non-alcoholic fatty liver disease is assessed by FLI, an algorithm based on body mass index, waist circumference, triglycerides and γ-glutamyl transferase, as a simple and accurate predictor of hepatic steatosis. Women were divided into three groups (FLI < 30, n = 80; 30 ≤ FLI < 60, n = 44; FLI ≥ 60, n = 26). Homeostasis model assessment of insulin resistance (HOMA-IR) as a surrogate marker of insulin resistance was calculated. Results: Multiple linear regression analysis revealed that the best model consisted of 4 parameters (e.g., bioavailable testosterone (β = 0.288, p = 0.001), log HOMA-IR (β = 0.227, p = 0.005), log high-sensitivity C-reactive protein (β = 0.322, p < 0.001), and retinol-binding protein 4 (β = 0.226, p < 0.001)). Adjusted R2 for the best model was 0.550, which means that as much as 55.0% of variation in FLI could be explained with this model. Conclusions: Bioavailable testosterone is independently associated with FLI in postmenopausal women. © 2016 Termedia & Banach.

Background: Left ventricular hypertrophy (LVH) is an important risk factor for cardiovascular and all-cause mortality. Previous studies reported conflicting results concerning the relationship between serum lipid levels and left ventricular geometry pattern. We sought to explore the relationship between standard serum lipid profile measures with left ventricular geometry pattern in obese children. Patients and methods: In this cross-sectional study, a total of 70 obese children were examined. Fasting blood samples were taken to measure total cholesterol, low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), triglycerides (TGs), glucose, and insulin. Based on these values TG/HDL ratio, BMI and HOMA index were calculated. We also measured the average 24-h ambulatory systolic blood pressure (SBP) and two-dimensional (2/D) transthoracic echocardiography was performed to determine left ventricular mass index (LVMI) and relative wall thickness (RWT). Multiple regression analyses were conducted to explore relationships between study variables and the LVMI or RWT as outcome variables. The final model with LVMI included TG/HDL ratio, BMI, 24 h-average SBP, age and sex, while for the RWT we included BMI, insulin, age and sex. Results: Our study included 70 children (65.71% boys and 34.29% girls) median age (14 years, IQR = 12-16)." We demonstrated independent and positive association of TG/HDL ratio, BMI and 24 h-average SBP with LVMI (effect = 3.65, SE = 1.32, p < 0.01; effect = 34.90, SE = 6.84, p < 0.01; effect = 0.32, SE = 0.12, p < 0.01, respectively). On the other hand, in model with RWT as outcome variable, only BMI and insulin were significantly linked (BMI: effect = 13.07, SE = 5.02, p = 0.01 Insulin: effect = 2.80, SE = 0.97). Conclusion: Increased TG/HDL ratio in obese children is associated with the development of eccentric left ventricular hypertrophy while increased BMI and insulin were associated with concentric left ventricular hypertophy. © 2020 The Author(s).

Background: Left ventricular hypertrophy (LVH) is an important risk factor for cardiovascular and all-cause mortality. Previous studies reported conflicting results concerning the relationship between serum lipid levels and left ventricular geometry pattern. We sought to explore the relationship between standard serum lipid profile measures with left ventricular geometry pattern in obese children. Patients and methods: In this cross-sectional study, a total of 70 obese children were examined. Fasting blood samples were taken to measure total cholesterol, low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), triglycerides (TGs), glucose, and insulin. Based on these values TG/HDL ratio, BMI and HOMA index were calculated. We also measured the average 24-h ambulatory systolic blood pressure (SBP) and two-dimensional (2/D) transthoracic echocardiography was performed to determine left ventricular mass index (LVMI) and relative wall thickness (RWT). Multiple regression analyses were conducted to explore relationships between study variables and the LVMI or RWT as outcome variables. The final model with LVMI included TG/HDL ratio, BMI, 24 h-average SBP, age and sex, while for the RWT we included BMI, insulin, age and sex. Results: Our study included 70 children (65.71% boys and 34.29% girls) median age (14 years, IQR = 12-16)." We demonstrated independent and positive association of TG/HDL ratio, BMI and 24 h-average SBP with LVMI (effect = 3.65, SE = 1.32, p < 0.01; effect = 34.90, SE = 6.84, p < 0.01; effect = 0.32, SE = 0.12, p < 0.01, respectively). On the other hand, in model with RWT as outcome variable, only BMI and insulin were significantly linked (BMI: effect = 13.07, SE = 5.02, p = 0.01 Insulin: effect = 2.80, SE = 0.97). Conclusion: Increased TG/HDL ratio in obese children is associated with the development of eccentric left ventricular hypertrophy while increased BMI and insulin were associated with concentric left ventricular hypertophy. © 2020 The Author(s).

Nitric oxide (NO) is oxidative stress biomarker which is regarded as one of the key determinants of energy metabolism and vascular tone. Considering the controversial reports on the association between nitric oxide products (NOx) and metabolic syndrome (MetS), the aim of the current study was to examine that potential relationship. Additionally, we aimed to evaluate a broad spectrum of other oxidative stress biomarkers [i.e., malondialdehyde (MDA), advanced oxidation protein products (AOPP), xanthine oxidoreductase (XOD), xanthine oxidase (XO) xanthine dehydrogenase (XDH)] in relation with MetS. A total of 109 volunteers (46.8% of them with MetS) were included in this cross-sectional study. Biohemical and anthropometric parameters, as well as blood pressure, were obtained. The MetS was diagnosed according to the International Diabetes Federation criteria. Multivariate logistic regression analysis showed that XOD (OR=1.011; 95% CI 1.002-1.019; p=0.016), XO (OR=1.014; 95% CI 1.003-1.026; p=0.016), MDA (OR=1.113; 95% CI 1.038-1.192; p=0.003) and AOPP (OR=1.022; 95% CI 1.005-1.039; p=0.012) were the independent predictors of MetS, whereas no association between NOx and MetS was found. As XOD rose for 1 U/L, XO for 1 U/L, MDA for 1 μmol/L and AOPP for 1 T/L, probability for MetS rose for 1.1%, 1.4%, 11.3% and 2.2%, respectively. Adjusted R2 for the Model was 0.531, which means that 53.1% of variation in MetS could be explained with this Model. Unlike XOD, MDA and AOPP, NOx is not associated with MetS. © 2019 Aleksandra Klisic, Gordana Kocic, Nebojsa Kavaric, Radmila Pavlovic, Ivan Soldatovic, Ana Ninic.

Nitric oxide (NO) is oxidative stress biomarker which is regarded as one of the key determinants of energy metabolism and vascular tone. Considering the controversial reports on the association between nitric oxide products (NOx) and metabolic syndrome (MetS), the aim of the current study was to examine that potential relationship. Additionally, we aimed to evaluate a broad spectrum of other oxidative stress biomarkers [i.e., malondialdehyde (MDA), advanced oxidation protein products (AOPP), xanthine oxidoreductase (XOD), xanthine oxidase (XO) xanthine dehydrogenase (XDH)] in relation with MetS. A total of 109 volunteers (46.8% of them with MetS) were included in this cross-sectional study. Biohemical and anthropometric parameters, as well as blood pressure, were obtained. The MetS was diagnosed according to the International Diabetes Federation criteria. Multivariate logistic regression analysis showed that XOD (OR=1.011; 95% CI 1.002-1.019; p=0.016), XO (OR=1.014; 95% CI 1.003-1.026; p=0.016), MDA (OR=1.113; 95% CI 1.038-1.192; p=0.003) and AOPP (OR=1.022; 95% CI 1.005-1.039; p=0.012) were the independent predictors of MetS, whereas no association between NOx and MetS was found. As XOD rose for 1 U/L, XO for 1 U/L, MDA for 1 μmol/L and AOPP for 1 T/L, probability for MetS rose for 1.1%, 1.4%, 11.3% and 2.2%, respectively. Adjusted R2 for the Model was 0.531, which means that 53.1% of variation in MetS could be explained with this Model. Unlike XOD, MDA and AOPP, NOx is not associated with MetS. © 2019 Aleksandra Klisic, Gordana Kocic, Nebojsa Kavaric, Radmila Pavlovic, Ivan Soldatovic, Ana Ninic.

Background: Since the cardiovascular (CV) risk score in the young population, children and adolescents, is underestimated, especially in developing countries such as Montenegro, where a strong interaction exists between the genetically conditioned CV risk and environmental factors, the purpose of this study was to estimate CV risk in apparently healthy adolescent girls. Moreover, we aimed to test some new, emerging CV risk factors and their interaction with the traditional ones, such as obesity. Precisely, we aimed to assess the impact of low bilirubin levels, as a routine biochemical parameter, as an additional risk factor for atherosclerotic disease in the adult phase. Methods: Forty-five obese adolescent girls (mean age 17.8±1.22 years) and forty-five age-and sex-matched normal weight controls, all nonsmokers, were included. Anthropometric and biochemical parameters were measured. Cardiovascular Risk Score (CVRS) was calculated by adding the points for each risk factor (e.g. sex, HDL-c, non-HDLc, blood pressure and fasting glycemia). Results: A significant positive relationship between CVRS and ALT, hsCRP and TG/HDL-c, but an opposite relationship between CVRS and total bilirubin were found (P<0.001). Multiple linear regression analysis showed that higher waist circumference (WC) and LDL-c, but lower HDL-c were independent predictors of lower bilirubin values (adjusted R2=0.603, P<0.001). Conclusions: Obese adolescent girls are at an increased risk of cardiovascular disease late in life. In addition to the traditional risk factors, total bilirubin may have the potential to discriminate between low and higher risk for cardiovascular disturbances in healthy adolescent girls. © by Jelena Kotur-Stevuljevic 2016.

Background: Since the cardiovascular (CV) risk score in the young population, children and adolescents, is underestimated, especially in developing countries such as Montenegro, where a strong interaction exists between the genetically conditioned CV risk and environmental factors, the purpose of this study was to estimate CV risk in apparently healthy adolescent girls. Moreover, we aimed to test some new, emerging CV risk factors and their interaction with the traditional ones, such as obesity. Precisely, we aimed to assess the impact of low bilirubin levels, as a routine biochemical parameter, as an additional risk factor for atherosclerotic disease in the adult phase. Methods: Forty-five obese adolescent girls (mean age 17.8±1.22 years) and forty-five age-and sex-matched normal weight controls, all nonsmokers, were included. Anthropometric and biochemical parameters were measured. Cardiovascular Risk Score (CVRS) was calculated by adding the points for each risk factor (e.g. sex, HDL-c, non-HDLc, blood pressure and fasting glycemia). Results: A significant positive relationship between CVRS and ALT, hsCRP and TG/HDL-c, but an opposite relationship between CVRS and total bilirubin were found (P<0.001). Multiple linear regression analysis showed that higher waist circumference (WC) and LDL-c, but lower HDL-c were independent predictors of lower bilirubin values (adjusted R2=0.603, P<0.001). Conclusions: Obese adolescent girls are at an increased risk of cardiovascular disease late in life. In addition to the traditional risk factors, total bilirubin may have the potential to discriminate between low and higher risk for cardiovascular disturbances in healthy adolescent girls. © by Jelena Kotur-Stevuljevic 2016.

Background: We aimed to examine the relationship between high levels of cystatin C, retinol-binding protein 4 (RBP4) and cardiovascular risk score [determined by Framingham Risk Score (FRS)] in postmenopausal women. Methods: A total of apparently healthy 129 postmenopausal women (mean age 57.1 ± 4.6 years) were included. Serum cystatin C, RBP4, glucose, lipid parameters, creatinine, uric acid and high sensitivity C-reactive protein (hsCRP) were determined. Anthropometric parameters and blood pressure were also obtained. FRS was calculated. Multiple linear regression analysis (MLR) was performed to identify independent factors affecting FRS and to estimate the final predictors of its variability. Receiver Operating Characteristic (ROC) curve analysis was used with the purpose of testing discriminatory potential of a group of parameters selected in MLR analysis, with FRS level as dependent variable. Results: We found significantly higher levels of both proteins, cystatin C (P = 0.001) and RBP4 (P = 0.006), in the FRS higher (medium and high) risk groups (FRS ≥ 10%) compared to low risk FRS group (FRS ≤ 10%). MLR revealed the best model consisting of 4 parameters (e.g., body mass index (BMI) (P< 0.001), triglycerides (TG) (P = 0.004), RBP4 (P= 0.021), and cystatin C (P = 0.046), R2-adjusted = 0.347) for FRS prediction. Construction of a model consisted of those 4 FRS formula independent parameters (BMI, TG, cystatin C and RBP4) using logistic regression analysis showed that new ROC curve had excellent discriminatory capability (area under the curve = 0.820). Conclusion: High cystatin C and retinol-binding protein 4 may contribute significantly to cardiovascular risk burden in addition to traditional cardiovascular markers. © 2016, Academy of Medical Sciences of I.R. Iran. All rights reserved.

Introduction/Aim Considering the high prevalence of non-alcoholic fatty liver disease (NAFLD) in individuals with type 2 diabetes mellitus (DM2), we aimed to investigate the potential benefit of determining markers of oxidative stress, inflammation and dyslipidemia for prediction of NAFLD, as estimated with fatty liver index (FLI) in individuals with DM2. Methods A total of 139 individuals with DM2 (of them 49.9% females) were enrolled in cross-sectional study. Anthropometric and biochemical parameters, as well as blood pressure were obtained. A FLI was calculated. Results Multivariate logistic regression analysis showed that high density lipoprotein cholesterol (HDL-c) and malondialdehyde (MDA) were independent predictors of higher FLI [Odds ratio (OR)=0.056, p=0.029; and OR=1.105, p=0.016, respectively]. In Receiver Operating Characteristic curve analysis, the addition of fatty liver risk factors (e. g., age, gender, body height, smoking status, diabetes duration and drugs metabolized in liver) to each analysed biochemical parameter [HDL-c, non-HDL-c, high sensitivity C-reactive protein (hsCRP), MDA and advanced oxidant protein products (AOPP)] in Model 1, increased the ability to discriminate patients with and without fatty liver [Area under the curve (AUC)=0.832, AUC=0.808, AUC=0.798, AUC=0.824 and AUC=0.743, respectively]. Model 2 (which included all five examined predictors, e. g., HDL-c, non-HDL-c, hsCRP, MDA, AOPP, and fatty liver risk factors) improved discriminative abilities for fatty liver status (AUC=0.909). Even more, Model 2 had the highest sensitivity and specificity (89.3% and 87.5%, respectively) together than each predictor in Model 1. Conclusion Multimarker approach, including biomarkers of oxidative stress, dyslipidemia and inflammation, could be of benefit in identifying patients with diabetes being at high risk of fatty liver disease. © J. A. Barth Verlag in Georg Thieme Verlag KG Stuttgart.New York.

Introduction/Aim Considering the high prevalence of non-alcoholic fatty liver disease (NAFLD) in individuals with type 2 diabetes mellitus (DM2), we aimed to investigate the potential benefit of determining markers of oxidative stress, inflammation and dyslipidemia for prediction of NAFLD, as estimated with fatty liver index (FLI) in individuals with DM2. Methods A total of 139 individuals with DM2 (of them 49.9% females) were enrolled in cross-sectional study. Anthropometric and biochemical parameters, as well as blood pressure were obtained. A FLI was calculated. Results Multivariate logistic regression analysis showed that high density lipoprotein cholesterol (HDL-c) and malondialdehyde (MDA) were independent predictors of higher FLI [Odds ratio (OR)=0.056, p=0.029; and OR=1.105, p=0.016, respectively]. In Receiver Operating Characteristic curve analysis, the addition of fatty liver risk factors (e. g., age, gender, body height, smoking status, diabetes duration and drugs metabolized in liver) to each analysed biochemical parameter [HDL-c, non-HDL-c, high sensitivity C-reactive protein (hsCRP), MDA and advanced oxidant protein products (AOPP)] in Model 1, increased the ability to discriminate patients with and without fatty liver [Area under the curve (AUC)=0.832, AUC=0.808, AUC=0.798, AUC=0.824 and AUC=0.743, respectively]. Model 2 (which included all five examined predictors, e. g., HDL-c, non-HDL-c, hsCRP, MDA, AOPP, and fatty liver risk factors) improved discriminative abilities for fatty liver status (AUC=0.909). Even more, Model 2 had the highest sensitivity and specificity (89.3% and 87.5%, respectively) together than each predictor in Model 1. Conclusion Multimarker approach, including biomarkers of oxidative stress, dyslipidemia and inflammation, could be of benefit in identifying patients with diabetes being at high risk of fatty liver disease. © J. A. Barth Verlag in Georg Thieme Verlag KG Stuttgart.New York.

Background: Retinol-binding protein 4 (RBP4) and cystatin C are regarded as novel metabolic risk markers. Therefore, we aimed to examine which one of these biomarkers better correlates with metabolic syndrome (MetS) in a cohort of postmenopausal women. Methods: A total of 129 postmenopausal women (among which 62 women had MetS) were recruited in this cross-sectional study. MetS was diagnosed according to the International Diabetes Federation criteria. Results: Cystatin C and RBP4 levels were significantly higher in women with MetS, compared to those without MetS (p=0.011 vs. p<0.001, respectively). A significant difference in the proportion of women with and without MetS across cystatin C and RBP4 quartiles was observed (χ2=5.1, p=0.025, and χ2=11.1, p=0.001, respectively). Logistic regression analysis revealed a borderline significant relationship between cystatin C and MetS (p=0.066), but this significance disappeared after adjustment for age, inflammation level and duration of menopause (p=0.221). On the contrary, a significant relationship between RBP4 and MetS was observed not only without adjustment (p=0.009), but also even after adjustment for age, inflammation level and duration of menopause (p=0.006). Conclusions: RBP4 better correlates with MetS than cystatin C in postmenopausal women. © 2019 Walter de Gruyter GmbH.

Background: Retinol-binding protein 4 (RBP4) and cystatin C are regarded as novel metabolic risk markers. Therefore, we aimed to examine which one of these biomarkers better correlates with metabolic syndrome (MetS) in a cohort of postmenopausal women. Methods: A total of 129 postmenopausal women (among which 62 women had MetS) were recruited in this cross-sectional study. MetS was diagnosed according to the International Diabetes Federation criteria. Results: Cystatin C and RBP4 levels were significantly higher in women with MetS, compared to those without MetS (p=0.011 vs. p<0.001, respectively). A significant difference in the proportion of women with and without MetS across cystatin C and RBP4 quartiles was observed (χ2=5.1, p=0.025, and χ2=11.1, p=0.001, respectively). Logistic regression analysis revealed a borderline significant relationship between cystatin C and MetS (p=0.066), but this significance disappeared after adjustment for age, inflammation level and duration of menopause (p=0.221). On the contrary, a significant relationship between RBP4 and MetS was observed not only without adjustment (p=0.009), but also even after adjustment for age, inflammation level and duration of menopause (p=0.006). Conclusions: RBP4 better correlates with MetS than cystatin C in postmenopausal women. © 2019 Walter de Gruyter GmbH.

Purpose Menopause is frequently associated with an increase in visceral fat, thus modifying redox status by promoting oxidative damage and decreasing antioxidant defense systems. It is known that at higher concentrations estradiol has some antioxidant properties, while its decline in postmenopause is associated with pro-oxidant effects. However, the role of follicle stimulating hormone (FSH) in antioxidant defense in postmenopausal women is still not well elucidated. Therefore, we aimed to evaluate the potential complex association between visceral obesity, FSH and enzymatic antioxidant defense as measured by glutathione peroxidase (GPx) in postmenopausal women. Methods A total of 150 postmenopausal women (mean age 56.6 ± 4.8 years), among them 50 normal weight and 100 overweight/obese, were included. GPx activity, FSH, luteinizing hormone, estradiol, total testosterone, car-diometabolic and anthropometric parameters, were determined. Results With increasing tertiles of serum FSH levels, significant increase in GPx activity (P = 0.005) was found. Also, the highest number of overweight/obese subjects were in the group with the lowest FSH values (χ2 = 14.9, P < 0.001). After multiple linear regression analysis, the relationship between GPx and FSH disappeared, whereas only higher waist circumference (β = -0.218, P = 0.045) predicted lower FSH level (adjusted R2 = 0.227). Conclusion Higher GPx activity is associated with higher FSH level, but abdominal obesity may be the underlying determinant of this relationship. © Springer International Publishing Switzerland 2016.

Purpose Menopause is frequently associated with an increase in visceral fat, thus modifying redox status by promoting oxidative damage and decreasing antioxidant defense systems. It is known that at higher concentrations estradiol has some antioxidant properties, while its decline in postmenopause is associated with pro-oxidant effects. However, the role of follicle stimulating hormone (FSH) in antioxidant defense in postmenopausal women is still not well elucidated. Therefore, we aimed to evaluate the potential complex association between visceral obesity, FSH and enzymatic antioxidant defense as measured by glutathione peroxidase (GPx) in postmenopausal women. Methods A total of 150 postmenopausal women (mean age 56.6 ± 4.8 years), among them 50 normal weight and 100 overweight/obese, were included. GPx activity, FSH, luteinizing hormone, estradiol, total testosterone, car-diometabolic and anthropometric parameters, were determined. Results With increasing tertiles of serum FSH levels, significant increase in GPx activity (P = 0.005) was found. Also, the highest number of overweight/obese subjects were in the group with the lowest FSH values (χ2 = 14.9, P < 0.001). After multiple linear regression analysis, the relationship between GPx and FSH disappeared, whereas only higher waist circumference (β = -0.218, P = 0.045) predicted lower FSH level (adjusted R2 = 0.227). Conclusion Higher GPx activity is associated with higher FSH level, but abdominal obesity may be the underlying determinant of this relationship. © Springer International Publishing Switzerland 2016.

Objective: Better than simple anthropometric parameters, the visceral adiposity index (VAI) has recently been proposed as a predictor of cardiometabolic risk in adults. However, there are conflicting results on the associations of these parameters in children and adolescents. Therefore, we aimed to estimate this potential relationship between VAI, anthropometric parameters (i.e., body mass index [BMI], waist circumference [WC], and waist-to-height ratio [WHtR], respectively), and inflammation as measured by high-sensitivity C-reactive protein (hs-CRP) levels in a cohort of adolescent girls. Methods: A total of 90 adolescent girls from 16 to 19 years old were included in cross-sectional study. Anthropometric and biochemical parameters (glucose, lipid parameters, and hsCRP) were measured. The VAI, derived from anthropometric and lipid parameters, calculated {[WC/36.58 + (1.89 × BMI)] × (triglycerides/0.81) × (1.52/ HDL-cholesterol)} was calculated. Results: A comparison of the receiver operating characteristic (ROC) curves showed that all the curves for the anthropometric parameters (e.g., BMI, WC, WHtR) had excellent discriminatory capability with regard to inflammation level status (low vs. high level) and significantly larger areas under the curve (AUC = 0.885, AUC = 0.863, AUC = 0.860, respectively; P<0.001) than the ROC curve for VAI did (AUC = 0.686; P = 0.021). Conclusion: Visceral adiposity index is not superior over anthropometric parameters in relation to inflammation as measured by high sensitivity C-reactive protein in adolescent girls. © 2018, University of Puerto Rico. All rights reserved.