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 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.

Correlation of the adipocyte-derived protein adiponectin with insulin resistance index and serum high-density lipoprotein-cholesterol, independent of body mass index, in the Japanese population

2002 ◽  
Vol 103 (2) ◽  
pp. 137-142 ◽  
Author(s):  
Yukihiro YAMAMOTO ◽  
Hiroshi HIROSE ◽  
Ikuo SAITO ◽  
Motowo TOMITA ◽  
Matsuo TANIYAMA ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Blood Pressure ◽  
Uric Acid ◽  
Adiponectin Level ◽  
Density Lipoprotein ◽  
Resistance Index ◽  
Hdl Cholesterol ◽  
Serum Adiponectin ◽  
Serum Adiponectin Level ◽  
Insulin Resistance Index

Adiponectin, which is secreted specifically by adipose tissue, has been shown to act as an anti-atherosclerotic protein by direct effects on endothelial cells. Clinical studies have shown that adiponectin levels are lower in individuals with obesity, diabetes and coronary artery disease. The present study investigated relationships between serum adiponectin levels and body mass index (BMI), blood pressure, insulin resistance index, lipid profile, uric acid and high-sensitivity C-reactive protein levels in a large number of Japanese subjects not taking any medication for metabolic disease and without severe illness (705 men and 262 women; age 30–65 years; BMI 22.5±2.9kg/m2). The serum adiponectin concentration was measured by ELISA, without a protein-denaturing step. The insulin resistance index was assessed by homoeostasis model assessment (HOMA-IR). The serum concentration of adiponectin in women (13.5±7.9μg/ml) was significantly higher than that in men (7.2±4.6μg/ml). The serum adiponectin level was negatively correlated with BMI, systolic blood pressure, diastolic blood pressure, fasting plasma glucose, insulin, HOMA-IR, total cholesterol, triacylglycerols, low-density lipoprotein (LDL)-cholesterol and uric acid, and positively correlated with high-density lipoprotein (HDL)-cholesterol. The correlations between serum adiponectin level and insulin, HOMA-IR, triacylglycerols, HDL-cholesterol, LDL-cholesterol and uric acid were significant even after adjustment for age, sex and BMI. Stepwise multiple regression analysis revealed that HDL-cholesterol, sex, BMI and HOMA-IR were independently correlated with the serum adiponectin level (R2 = 0.377). These findings suggest that the serum adiponectin level is negatively correlated with HOMA-IR and positively correlated with HDL-cholesterol, independent of age, sex and BMI, in the Japanese population.

scholarly journals The interaction between serum uric acid and triglycerides level on blood The interaction between serum uric acid and triglycerides level on blood pressure in middle-aged and elderly individuals in China: result from a large national cohort study

2020 ◽  
Author(s):  
Lin Zhang ◽  
Jin-long Li ◽  
Lei-lei Guo ◽  
Hong Li ◽  
Dan Li ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Uric Acid ◽  
Linear Regression ◽  
Serum Uric Acid ◽  
Linear Regression Analysis ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Confounding Factors ◽  
Middle Aged ◽  
Elderly Individuals

Abstract Background: The purpose of the research was to explore the extent of interaction between triglycerides (TG) and serum uric acid (SUA) level with blood pressure (BP) in middle-aged and elderly individuals in China. Methods: Data were selected from the China Health and Retirement Longitudinal Study (CHARLS), a cross-sectional study. 3345(46.99%) men with average ages of 60.24 ± 9.24 years and 3774 (53.01%) women with average ages of 59.91 ± 9.95 years were included in the study. Differences between gender, or between categories of blood pressure levels were evaluated by t-test or chi-square test. The adjusted associations between various characteristics and BP status were first compared using linear regression models, as appropriate. Then, A general linear model adjusted for confounding factors(socio-demographic characteristics, health behaviors , medical history) metabolic measures [C-reactive protein(CRP), hemoglobin A1c (HbA1c), fasting plasma glucose(FPG), low-density lipoprotein cholesterol(LDL-C), high-density lipoprotein cholesterol(HDL-C), estimated glomerular filtration rate(eGFR), body mass index(BMI)]) was used to examine the synergistic effect of SUA and TG level on BP in middle-aged and elderly individuals in China. Results: Age-adjusted partial Pearson’s correlation coefficient showed that SUA and TG level positively correlated with both systolic blood pressure (SBP) and diastolic blood pressure (DBP) in both men and women. Multiple linear regression analysis showed the TG level was significantly and positively associated with SBP and DBP in both men (SBP: β =0.068, P =0.001; DBP: β =0.064, P=0.002) and women (SBP: β =0.061, P =0.002; DBP: β =0.084, P=0.000), but SUA were significantly and positively associated with SBP in both men (SBP: β =0.047, P =0.013) and women (SBP: β =0.040, P =0.028), regardless of other confounding factors. After adjusting for related potential confounders, evidence of interaction between SUA and TG level on SBP (men: β =-1.090, P =0.726; women: β =-0.692, P=0.861) and DBP (men: β=-1.026, P =0.572; women: β =-0.794, P =0.842) was not observed. Conclusion: The interaction effect of SUA and TG level on BP was not observed in our study. Moreover, high SUA level was significantly associated with DBP, while high TG level was strongly related to both DBP and SBP.

High uric acid levels in overweight and obese children and their relationship with cardiometabolic risk factors: what is missing in this puzzle?

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Fernanda Thomazini ◽  
Beatriz Silva de Carvalho ◽  
Priscila Xavier de Araujo ◽  
Maria do Carmo Franco
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Uric Acid ◽  
Total Cholesterol ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Lipoprotein Cholesterol ◽  
Obese Children ◽  
High Uric Acid

Abstract Objectives The prevalence of hyperuricemia, a common disorder, has been increasing. Moreover, the association between obesity, serum uric acid levels, and cardiometabolic markers in children is unclear. Therefore, this study aimed to analyze the inter-relationships between these factors in a sample of children aged 6–12 years. Methods We evaluated 764 children and stratified them according to their body mass index (BMI). Blood pressure and uric acid, creatinine, lipid, and glycemic profiles were evaluated, and the estimated glomerular filtration rate (eGFR) and the homeostatic model assessment for insulin resistance (HOMA-IR) index were calculated. Results There was a significant linear trend of increasing systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), total cholesterol, low-density lipoprotein cholesterol (LDLc), uric acid, insulin levels, and HOMA-IR index values corresponding with overweight and obese groups; however, high-density lipoprotein cholesterol (HDLc) levels decreased with increasing obesity. The mean creatinine level and eGFR were similar across all BMI groups. Uric acid levels were significantly correlated with BMI (r=0.527), waist circumference (r=0.580), SBP (r=0.497), DBP (r=0.362), TG (r=0.534), total cholesterol (r=0.416), LDLc (r=0.286), HDLc (r=−0.248), insulin (r=0.613), and HOMA-IR index (r=0.607). Multiple regression analyses showed that BMI (B=0.071; SE=0.012; p<0.001), TG (B=0.004; SE=0.001; p<0.001), LDLc (B=0.003; SE=0.001; p=0.006), and insulin (B=0.066; SE=0.007; p<0.001) (R2=0.460) were significant predictors of increased uric acid levels and explained 46% of the variability in uric acid in these children. Conclusions Our findings suggest that overweight or obese children are more likely to have higher uric acid levels. Moreover, several cardiometabolic risk factors were strongly associated with high uric acid levels.

scholarly journals Study on the independent effect of thyroid hormone based on uric acid level on NAFLD

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Guanqun Chao ◽  
Liying Chen
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Uric Acid ◽  
Waist Circumference ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Independent Effect ◽  
Health Examination ◽  
Alcoholic Fatty Liver ◽  
Independent Risk Factors

Abstract Objective This study aims to explain the correlation among non-alcoholic fatty liver disease (NAFLD), hyperuricemia, and thyroid function and to find independent risk factors for each other. Methods Data were obtained from subjects who underwent health examination in the Health Promotion Centre of Sir Run Run Shaw Hospital of Zhejiang University from January 2017 to February 2019. The diagnosis of NAFLD was according to the clinical diagnosis of the guidelines. Serum uric acid (SUA) > 360 μmol/L (female) and SUA > 420 μmol/L (male) were enrolled in the hyperuricemia group. R software was used for statistical analysis. Results 55,449 subjects were included in the analysis. 34.27% of patients were classified as NAFLD group (N=19004), and 65.73% of patients were classified as non-NAFLD group (N=36445). The levels of gender ratio, age, BMI, waist circumference, systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG), HbA1c, triglyceride (TG), high-density lipoprotein (HDLC), alanine aminotransferase (ALT), aspartate aminotransferase (AST), urea nitrogen (BUN), creatinine (CR), FT3, FT4, and TSH were significantly different between the non-NAFLD group and NAFLD group. Age, BMI, waist circumference, DBP, fFBG, HbA1c, total cholesterol (TC), low-density lipoprotein (LDLC), AST, and UA were all independent risk factors for NAFLD. In the normal uric acid group, variables other than SBP and TSH were independent factors of NAFLD. In the hyperuricemia group, all variables except SBP, FT4, and TSH were independent factors of NAFLD. Conclusion The level of uric acid is related to the occurrence of NAFLD. Hyperuricemia is one of the independent risk factors of NAFLD. TSH level is not related to the occurrence of NAFLD, while FT3 and FT4 may be related to NAFLD.

scholarly journals High-intensity activity is more strongly associated with metabolic health in children compared to sedentary time: a cross-sectional study of the I.Family cohort

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jonatan Fridolfsson ◽  
Christoph Buck ◽  
Monica Hunsberger ◽  
Joanna Baran ◽  
Fabio Lauria ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Body Mass Index ◽  
High Density Lipoprotein ◽  
High Density Lipoprotein Cholesterol ◽  
Density Lipoprotein ◽  
Cross Sectional ◽  
Intensity Physical Activity

Abstract Background Physical activity (PA) during childhood is important for preventing future metabolic syndrome (MetS). To examine the relationship between PA and MetS in more detail, accurate measures of PA are needed. Previous studies have only utilized a small part of the information available from accelerometer measured PA. This study investigated the association between measured PA and MetS in children with a new method for data processing and analyses that enable more detailed interpretation of PA intensity level. Methods The association between PA pattern and risk factors related to MetS was investigated in a cross- sectional sample of children (n = 2592, mean age 10.9 years, 49.4% male) participating in the European multicenter I. Family study. The risk factors examined include body mass index, blood pressure, high-density lipoprotein cholesterol, insulin resistance and a combined risk factor score (MetS score). PA was measured by triaxial accelerometers and raw data was processed using the 10 Hz frequency extended method (FEM). The PA output was divided into an intensity spectrum and the association with MetS risk factors was analyzed by partial least squares regression. Results PA patterns differed between the European countries investigated, with Swedish children being most active and Italian children least active. Moderate intensity physical activity was associated with lower insulin resistance (R2 = 2.8%), while vigorous intensity physical activity was associated with lower body mass index (R2 = 3.6%), MetS score (R2 = 3.1%) and higher high-density lipoprotein cholesterol (R2 = 2.3%). PA of all intensities was associated with lower systolic- and diastolic blood pressure, although the associations were weaker than for the other risk factors (R2 = 1.5% and R2 = 1.4%). However, the multivariate analysis implies that the entire PA pattern must be considered. The main difference in PA was observed between normal weight and overweight children. Conclusions The present study suggests a greater importance of more PA corresponding to an intensity of at least brisk walking with inclusion of high-intense exercise, rather than a limited time spent sedentary, in the association to metabolic health in children. The methods of data processing and statistical analysis enabled accurate analysis and interpretation of the health benefits of high intensity PA that have not been shown previously.

scholarly journals Influences of Recreational Tennis-Playing Exercise Time on Cardiometabolic Health Parameters in Healthy Elderly: The ExAMIN AGE Study

2021 ◽  
Vol 18 (3) ◽  
pp. 1255
Author(s):  
Hsiao-Han Chao ◽  
Yi-Hung Liao ◽  
Chun-Chung Chou
Keyword(s):  
Insulin Resistance ◽  
Arterial Stiffness ◽  
Ankle Brachial Index ◽  
Density Lipoprotein ◽  
Activity Level ◽  
Lipoprotein Cholesterol ◽  
Cardiometabolic Health ◽  
Model Assessment ◽  
Healthy Elderly ◽  
Metabolic Biomarkers

Background: Aging and chronic degeneration are the primary threats to cardiometabolic health in elderly populations. Regular appropriate exercise would benefit the advanced aging population. Purpose: This study investigates whether the degree of weekly tennis participation exhibits differences in primary cardiometabolic parameters, including arterial stiffness, inflammation, and metabolic biomarkers in elderly tennis players. Methods: One hundred thirty-five long-term participants in elder tennis (>50 years old) were initially screened. Twenty-six eligible and voluntary subjects were divided into high tennis time group (HT) (14 ± 1.3 h/week) and low tennis time group (LT) (4.5 ± 0.7 h/week) by stratification analysis based on the amount of tennis playing activity time. The brachial-ankle pulse wave velocity (baPWV), blood pressure, ankle-brachial index (ABI), blood metabolic biomarkers, and insulin resistance were measured to compare the difference between HT and LT groups. Results: The baPWV was significantly lower in the HT group than that in the LT group (1283.92 ± 37.01 vs. 1403.69 ± 53.71 cm/s, p < 0.05). We also found that the HT insulin-resistant homeostasis model assessment (HOMA-IR) was significantly lower than that of LT (1.41 ± 0.11 vs. 2.27 ± 0.48 μIU/mL, p < 0.05). However, the blood lipid biomarkers (glucose, cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglyceride) were not statistical different between HT and LT groups (p > 0.05). Conclusion: We demonstrated that under the condition of similar daily physical activity level, elderly with a higher time of tennis-playing (HT group) exhibited relatively lower arterial stiffness (lower PWV) and lower insulin resistance compared to those with lower time tennis-playing (LT).

Abstract P146: Uric Acid is an Independent Risk Factor for Developing Hypertension From Prehypertension: A 5-year Japanese Cohort Study

Hypertension ◽  
2017 ◽  
Vol 70 (suppl_1) ◽  
Author(s):  
Masanari Kuwabara ◽  
Shigeko Hara ◽  
Koichiro Niwa ◽  
Minoru Ohno ◽  
Ichiro Hisatome
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Uric Acid ◽  
Risk Factor ◽  
Cohort Study ◽  
Serum Uric Acid ◽  
Independent Risk Factor ◽  
Drinking Habits

Objectives: Prehypertension frequently progresses to hypertension and is associated with cardiovascular diseases, stroke, excess morbidity and mortality. However, the identical risk factors for developing hypertension from prehypertension are not clarified. This study is conducted to clarify the risks. Methods: We conducted a retrospective 5-year cohort study using the data from 3,584 prehypertensive Japanese adults (52.1±11.0 years, 2,081 men) in 2004 and reevaluated it 5 years later. We calculated the cumulative incidences of hypertension over 5 years, then, we detected the risk factors and calculated odds ratios (ORs) for developing hypertension by crude analysis and after adjustments for age, sex, body mass index, smoking and drinking habits, baseline systolic and diastolic blood pressure, pulse rate, diabetes mellitus, dyslipidemia, chronic kidney disease, and serum uric acid. We also evaluated whether serum uric acid (hyperuricemia) provided an independent risk for developing hypertension. Results: The cumulative incidence of hypertension from prehypertension over 5 years was 25.3%, but there were no significant differences between women and men (24.4% vs 26.0%, p=0.28). The cumulative incidence of hypertension in subjects with hyperuricemia (n=726) was significantly higher than those without hyperuricemia (n=2,858) (30.7% vs 24.0%, p<0.001). After multivariable adjustments, the risk factors for developing hypertension from prehypertension were age (OR per 1 year increased: 1.023; 95% CI, 1.015-1.032), women (OR versus men: 1.595; 95% CI, 1.269-2.005), higher body mass index (OR per 1 kg/m 2 increased: 1.051; 95% CI 1.021-1.081), higher baseline systolic blood pressure (OR per 1 mmHg increased: 1.072; 95% CI, 1.055-1.089) and diastolic blood pressure (OR per 1 mmHg increased: 1.085; 95% CI, 1.065-1.106), and higher serum uric acid (OR pre 1 mg/dL increased: 1.149; 95% CI, 1.066-1.238), but not smoking and drinking habits, diabetes mellitus, dyslipidemia, and chronic kidney diseases. Conclusions: Increased serum uric acid is an independent risk factor for developing hypertension from prehypertension. Intervention studies are needed to clarify whether the treatments for hyperuricemia in prehypertensive subjects are useful.

scholarly journals Endotrophin as a novel marker in PCOS and its relation with other adipokines and metabolic parameters: a pilot study

2021 ◽  
Vol 12 ◽  
pp. 204201882110496
Author(s):  
Gurhan Guney ◽  
Mine Islimye Taskin ◽  
Ozgur Baykan ◽  
Ertan Adali ◽  
Selin Gul Tezcan ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Density Lipoprotein ◽  
Resistance Index ◽  
Total Testosterone ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Ovary Syndrome ◽  
Significant Difference

Background: Polycystic ovary syndrome is known to be the most common hormonal disorder in women of reproductive age. Current evidence shows that regulatory proteins secreted from the adipose tissue called adipokines may have a role in polycystic ovary syndrome. We planned to investigate the role of endotrophin that has never been researched in polycystic ovary syndrome before and its correlation with other metabolic parameters and adipokines such as adiponectin and ghrelin in patients with polycystic ovary syndrome. Methods: Forty-three women ( n: 43) with polycystic ovary syndrome and 43 ( n: 43) women as a control group were enrolled in this cross-sectional study. Serum levels of endotrophin, adiponectin, and ghrelin levels were measured with the enzyme-linked immunosorbent assay method. High-density lipoprotein cholesterol, low-density lipoprotein cholesterol, total cholesterol levels, luteinizing hormone/follicle-stimulating hormone ratio, total testosterone, and triglyceride levels were measured. Homeostasis model assessment for insulin resistance index, body mass index, Ferriman Gallwey Score, and waist-to-hip ratio were also evaluated. Results: Total testosterone, homeostasis model assessment for insulin resistance, C-reactive protein, luteinizing hormone/follicle-stimulating hormone ratio, and triglyceride levels were higher in patients with polycystic ovary syndrome ( p < 0.01). No difference was detected between the groups in terms of body mass index, Ferriman Gallwey Score, waist-to-hip ratio, total cholesterol, low-density lipoprotein, and high-density lipoprotein levels ( p > 0.05). We did not observe any significant difference in adiponectin and ghrelin levels between the groups ( p > 0.05). Patients with polycystic ovary syndrome had significantly higher endotrophin levels ( p < 0.01). According to our regression analyses [area under the curve: 0.973 (0.935–1.000), 95% confidence interval, 95.2% sensitivity, and 100% specificity], it was shown that endotrophin greater than 92 ng/ml and homeostasis model assessment for insulin resistance greater than 2.5 might be good predictors for polycystic ovary syndrome diagnosis. Conclusion: We demonstrated that endotrophin level is higher in patients with polycystic ovary syndrome and may have predicted polycystic ovary syndrome with increased homeostasis model assessment for insulin resistance index. There was no significant difference in adiponectin and ghrelin levels in the polycystic ovary syndrome group. Endotrophin may have a role in polycystic ovary syndrome etiology rather than other adipokines.

scholarly journals Uric acid levels are critical for non-alcoholic fatty liver disease

2020 ◽  
Author(s):  
Guanqun Chao ◽  
Yue Zhu ◽  
Lizheng Fang
Keyword(s):  
Risk Factors ◽  
Uric Acid ◽  
Risk Factor ◽  
Fatty Liver ◽  
Serum Uric Acid ◽  
Uric Acid Level ◽  
Acid Level ◽  
Serum Uric Acid Level ◽  
Density Lipoprotein ◽  
Diagnostic Threshold

Abstract Background: To clarify the risk factors associated with NAFLD and further clarify the correlation between uric acid level and NAFLD by analyzing the correlation between NAFLD and different metabolic factors.Methods: Datas were obtained from subjects who underwent health examination in the Health promotion centre of Sir Run Run Shaw hospital of Zhejiang University from January 2016 to December 2017.The diagnosis of NAFLD was according to the clinical diagnosis of the Guidelines.Statistical analyses were performed using R software.Results: 79492 subjects were analyzed. 56680(71.3%) participants did not have NAFLD, 22812(28.7%) participants had NAFLD. Male, age, BMI, high blood pressure, central obesity, high glycosylated hemoglobin, high serum uric acid, high triglyceride, high total cholesterol, high low density lipoprotein cholesterol (LDL-C), abnormal liver function were risk factors of NAFLD, however, low high-density lipoprotein cholesterol (HDL-C) level was another risk factor of NAFLD.OR value suggested serum uric acid was a robust risk factor for NAFLD in all subgroups.In male group, AUC was 0.656 (95%CI: 0.651-0.661), the optimal diagnostic threshold was 395.5 mol/L, the sensitivity was 61.9%, the specificity was 61.1%, and the yoden index was 0.23. In female group, AUC was 0.716 (95%CI: 0.708-0.724), the optimal diagnostic threshold was 294.5 mol/L, sensitivity was 67.7%, specificity was 64.5%, and the Jordan index was 0.32.Conclusions: Our study suggested that there was a close correlation between serum uric acid level and NAFLD.Uric acid levels was a key risk factor for NAFLD.The diagnosis of fatty liver in patients can be preliminarily determined by detecting uric acid level.Contributions to the literature：1. The purpose of this study was to clarify the risk factors associated with NAFLD and further clarify the correlation between uric acid level and NAFLD by analyzing the correlation between NAFLD and different metabolic factors in the physical examination population.2. There was a close correlation between serum uric acid level and NAFLD.Uric acid levels was a key risk factor for NAFLD.3. The diagnosis of fatty liver in patients can be preliminarily determined by detecting uric acid level.

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