scholarly journals Serum Periostin as a Potential Biomarker in Pediatric Patients with Primary Hypertension

2021 ◽  
Vol 10 (10) ◽  
pp. 2138
Author(s):  
Michał Szyszka ◽  
Piotr Skrzypczyk ◽  
Anna Stelmaszczyk-Emmel ◽  
Małgorzata Pańczyk-Tomaszewska

Experimental studies suggest that periostin is involved in tissue repair and remodeling. The study aimed to evaluate serum periostin concentration as potential biomarker in pediatric patients with primary hypertension (PH). We measured serum periostin, blood pressure, arterial damage, biochemical, and clinical data in 50 children with PH and 20 age-matched healthy controls. In univariate analysis, children with PH had significantly lower serum periostin compared to healthy peers (35.42 ± 10.43 vs. 42.16 ± 12.82 [ng/mL], p = 0.038). In the entire group of 70 children serum periostin concentration correlated negatively with peripheral, central, and ambulatory blood pressure, as well as with aortic pulse wave velocity (aPWV). In multivariate analysis, periostin level significantly correlated with age (β = −0.614, [95% confidence interval (CI), −0.831–−0.398]), uric acid (β = 0.328, [95%CI, 0.124–0.533]), body mass index (BMI) Z-score (β = −0.293, [95%CI, −0.492–−0.095]), high-density lipoprotein (HDL)-cholesterol (β = 0.235, [95%CI, 0.054–0.416]), and triglycerides (β = −0.198, [95%CI, −0.394–−0.002]). Neither the presence of hypertension nor blood pressure and aPWV influenced periostin level. To conclude, the role of serum periostin as a biomarker of elevated blood pressure and arterial damage in pediatric patients with primary hypertension is yet to be unmasked. Age, body mass index, uric acid, and lipid concentrations are key factors influencing periostin level in pediatric patients.

2006 ◽  
Vol 148 (2) ◽  
pp. 195-200 ◽  
Author(s):  
Bonita Falkner ◽  
Samuel S. Gidding ◽  
Gabriela Ramirez-Garnica ◽  
Stacey Armatti Wiltrout ◽  
David West ◽  
...  

Nephrology ◽  
2017 ◽  
Vol 22 (4) ◽  
pp. 279-285 ◽  
Author(s):  
Antonino Sidoti ◽  
Santi Nigrelli ◽  
Alberto Rosati ◽  
Roberto Bigazzi ◽  
Raffaele Caprioli ◽  
...  

2011 ◽  
Vol 20 (01) ◽  
pp. 32-37
Author(s):  
Mehmet Kanbay ◽  
Faruk Turgut ◽  
Ayse Isik ◽  
Mustafa Koroglu ◽  
Ali Akcay

2015 ◽  
Vol 24 (2) ◽  
pp. 103-8
Author(s):  
Ikhlas A. Bramono ◽  
Nur Rasyid ◽  
Ponco Birowo

Background: Urolithiasis refers to formation of stone in the kidney, ureter, or bladder. Several studies showed metabolic abnormalities were common in urolithiasis patients. The aim of this study was to describe the association between body-mass-index (BMI), serum uric acid, serum glucose, and blood pressure toward stone opacity in urinary tract stone patients.Methods: This study was done retrospectively by reviewing registry data of urinary tract stone patients that had undergone ESWL on January 2008 – December 2013 in Department of Urology Cipto Mangunkusumo Hospital. Data concerning body mass index, serum uric acid, serum glucose, blood pressure, and urinary tract stone opacity were recorded. Associations between body mass index, serum uric acid, serum glucose and blood pressure with urinary tract stone opacity were analyzed using chi-square test.Results: There were 2,889 patients who underwent ESWL on January 2008 – December 2013. We analyzed 242 subjects with complete data. Mean age was ± 12.78 (48.02 years). Male-to-female ratio was 2.27:1. Mean BMI was ± 3.78 (29.91 kg/m2). High risk BMIs were found in 161 patients (66.52%). The proportion of radioopaque stone was 77.69% (188 patients). Twenty two patients (9.1%) had normal blood pressure. Patients with high serum uric acid were 34.30% (83 patients). We found a significant association between random serum glucose level and stone opacity (p < 0.05).Conclusion: There is an association between random serum glucose level and stone opacity in urolithiasis patients. Hyperglycemia patients tend to have radiolucent stone, whereas normoglycemia patients tend to have radioopaque stone.


Author(s):  
Miaoying Yun ◽  
Tao Zhang ◽  
Shengxu Li ◽  
Xuan Wang ◽  
Lijun Fan ◽  
...  

Abstract Objective This study aimed to examine the temporal relationship between body mass index (BMI) and uric acid (UA), and their joint effect on blood pressure (BP) in children and adults. Methods The longitudinal cohorts for temporal relationship analyses consisted of 564 and 911 subjects examined twice 5–14 years apart from childhood to adulthood. The cross-sectional cohorts for mediation analyses consisted of 3102 children and 3402 nondiabetic adults. Cross-lagged panel analysis models were used to examine the temporal relationship between BMI and UA, and mediation analysis models the mediation effect of UA on the BMI–BP association. Results After adjusting for age, race, sex and follow-up years in children, and additionally smoking and alcohol drinking in adults, the path coefficients (standardized regression coefficients) from baseline BMI to follow-up UA (0.145 in children and 0.068 in adults) were significant, but the path coefficients from baseline UA to follow-up BMI (0.011 in children and 0.016 in adults) were not. In mediation analyses, indirect effects through UA on the BMI-systolic BP association were estimated at 0.028 (mediation effect = 8.8%) in children and 0.033 (mediation effect = 13.5%) in adults (P < 0.001 for both). Direct effects of BMI on systolic BP (0.289 in children and 0.212 in adults) were significant. The mediation effect parameters did not differ significantly between Blacks and Whites. Conclusions Changes in BMI precede alterations in UA, and the BMI–BP association is in part mediated through BMI-related increase in UA both in children and in adults. These findings have implications for addressing mechanisms of obesity hypertension beginning in early life.


Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Paulo A Lotufo ◽  
Itamar S Santos ◽  
Isabela M Bensenor

Introduction: The association "uric acid and high blood pressure" is still matter of debate. Therefore, to distinguish serum uric acid as an independent factor for high blood pressure can start new trials to prevent hypertension. A paleoantropological rationale for this association was a knockout of uricase occurred during the Miocene among hominids that induced high levels of uric acid. As consequence, during food shortage times, high uric acid had an evolutionary benefit increasing salt-sensitivity for keep blood pressure and rising insulin resistance that maintaining high blood glucose levels provided fuel for the brain. Nowadays, the average levels of uric acid are substantially higher compared to chimpanzees, a uricase-deficient primate, and among remote populations as the yanomamo. Hypothesis: we assessed the hypothesis that the link between uric acid and blood pressure in individuals without hypertension is independent of sex, age, race, salt and alcohol intakes, glucose homeostasis, body-mass index and renal function. Methods: from the 15105 participants of the Brazilian Longitudinal Study for Adult Health (ELSA-Brasil) aged 35-74 years, we selected 7954 individuals (median age = 48 years-old; women =58.1; White = 56.6%) without hypertension, diabetes, previous cardiovascular diseases. The presence or not of prehypertension (7th JNC criteria) was the dependent variable and quartiles (Q) of serum uric acid, the independent variable. We applied an unconditional logistic regression adjusted for age and sex. After this, according to our hypothesis, we added the following variables: (1) 24-hour urinary sodium; (2) log Homeostasis Model Assessment (fasting blood glucose (mg/dL) х fasting insulin (mg/dL)/450), and (3) a full model, adding race, body-mass index, alcohol intake, and glomerular filtration rate by CKD-epi). Results: the uric acid quartiles ranges (md/dL) were Q1 ≤ 4.1; Q2:4.2-5.0; Q3:5.1-6.0; Q4: ≥ 6.1 and the number of participants were Q1= 1909; Q2=2029; Q3=2000; Q4= 2016. Considering Q1 as reference, the age-sex adjusted odds ratios (95% Confidence Interval) through the quartiles were: Q2= 1.22 (1.05-1.41); Q3= 1.40 (1.20-1.63); Q4= 2.03 (1.71-2.39) [P for trend <0.001]. Adding 24 hour urinary sodium, the ORs (95% CI) were: Q2= 1.19 (1.01-1.40); Q3= 1.37 (1.16-1.62); and 1.94 (1.61-2.33) [P for trend <0.001]. Adding HOMA-IR, the ORs (95% CI) were: Q2= 1.14 (0.97-1.34); Q3= 1.25(1.05-1.48); and Q4=1.62(1.34-1.96) [P for trend <0.001]. Finally, for the full model the ORs were Q2= 1.04 (0.88-1.23); Q3= 1.05 (0.88-1.26) and Q4= 1.32(1.08-1.62) [P for trend <0. 01]. Conclusion: Uric acid levels were correlated to prehypertension among a middle-aged urban population. It occurred independently of other variables classically associated to high blood pressure or the origin of higher uric acid in hominids.


2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Huijing He ◽  
Li Pan ◽  
Jianwei Du ◽  
Yuming Jin ◽  
Pengben Jia ◽  
...  

Abstract Background Evidence on how body mass index (BMI) influence cardiometabolic health remains sparse in Chinese children and adolescents, especially in south China. We aim to investigate the effect of overweight and/or obesity on high blood pressure (HBP), dyslipidemia, elevated serum uric acid (SUA) and their clustering among children and adolescents in an island in South China. Methods Using multi-stage cluster sampling method, 1577 children and adolescents aged 7–18 in Hainan province, south China, participated in the survey. The association between body mass index and cardiometabolic indexes were explored. Overweight and obesity were classified according to criteria of World Health Organization for children and adolescents aged 5 to 19. Restricted cubic spline models were used to examine the possible non-linear association between BMI and cardiometabolic profiles. Multivariable logistic regression models were fitted to examine the effect size of BMI on cardiometabolic disorders including HBP, elevated SUA and dyslipidemia. Comorbidity of at least two cardiometabolic abnormalities (HBP, dyslipidemia, elevated SUA) was defined as clustering of cardiometabolic risk factors. Results Comparing with normal weight and underweight subjects, overweight/obese youths had higher levels of BP, SUA, triglyceride, low-density lipoprotein but lower level of high-density lipoprotein. Overweight/obese youth had higher risk of dyslipidemia (OR:2.89, 95%CI: 1.65–5.06), HBP (OR:2.813, 95%CI: 1.20–6.59) and elevated SUA (OR: 2.493, 95%CI: 1.45–4.27), respectively, than their counterparts. The sex-, age-adjusted prevalence of abnormalities clustering was 32.61% (95% CI: 20.95% to 46.92%) in overweight/obesity group, much higher than in the under/normal weight group (8.85%, 95%CI: 7.44% to 10.48%). Conclusion Excess adiposity increased the risk of elevated serum uric acid, serum lipids, blood pressure and their clustering among children and adolescents in south China.


2014 ◽  
Vol 17 (2) ◽  
pp. 72-79 ◽  
Author(s):  
Fuling Ji ◽  
Feng Ning ◽  
Haiping Duan ◽  
Jaakko Kaprio ◽  
Dongfeng Zhang ◽  
...  

We evaluated the genetic and environmental contributions to metabolic cardiovascular risk factors and their mutual associations. Eight metabolic factors (body mass index, waist circumference, waist-to-hip ratio, systolic blood pressure, diastolic blood pressure, total serum cholesterol, serum triglycerides, and serum uric acid) were measured in 508 twin pairs aged 8–17 years from the Qingdao Twin Registry, China. Linear structural equation models were used to estimate the heritability of these traits, as well as the genetic and environmental correlations between them. Among boys, body mass index and uric acid showed consistently high heritability (0.49–0.81), whereas other traits showed moderate to high common environmental variance (0.37–0.73) in children (8–12 years) and adolescents (13–17 years) except total cholesterol. For girls, moderate to high heritability (0.39–0.75) were obtained for six metabolic traits in children, while only two traits showed high heritability and others mostly medium to large common environmental variance in adolescents. Genetic correlations between the traits were strong in both boys and girls in children (rg = 0.64–0.99 between body mass index and diastolic blood pressure; rg = 0.71–1.00 between body mass index and waist circumference), but decreased for adolescent girls (rg = 0.51 between body mass index and waist-to-hip ratio; rg = 0.55 between body mass index and uric acid; rg = 0.61 between body mass index and systolic blood pressure). The effect of genetic factors on most metabolic traits decreased from childhood to adolescence. Both common genetic and specific environmental factors influence the mutual associations among most of the metabolic traits.


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