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- Title
Urine NGAL and KIM-1 in children and adolescents with hyperuricemia.
- Authors
Tomczak, Justyna; Wasilewska, Anna; Milewski, Robert
- Abstract
Background: The aim of this study was to test the hypothesis that urine levels of neutrophil gelatinase-associated lipocalin (NGAL) and kidney injury molecule-1 (KIM-1) are enhanced in pediatric patients with hyperuricemia. Methods: The study included 88 children and adolescents (60 males, 28 females) with a median age of 16 (range 11-18.5) years who had been referred to our department to rule out or confirm hypertension. The subjects were divided into two groups: the hyperuricemic (HU) group comprising 59 subjects with hyperuricemia (defined as serum uric acid >4.8 and >5.5 mg/dl in girls and boys, respectively) and the reference group comprising 29 patients with normouricemia. Urine NGAL and KIM-1 levels were evaluated using a commercially available kit. Results: Concentrations of the examined biomarkers [urine NGAL, NGAL/creatinine (cr.) ratio, urine KIM-1, KIM-1/cr. ratio] were increased in the HU group compared with the reference group ( p < 0.01). There were positive correlations between the serum uric acid and urine NGAL/cr. ratio ( R = 0.67, p < 0.001) and the urine KIM-1/cr. ratio ( R = 0.36, p < 0.001). In the multiple regression models, serum uric acid, systolic blood pressure and cholesterol accounted for more than 49 % of the variation in the NGAL/cr. ratio ( R = 0.702, p < 0.001). In the second model, serum uric acid, gender, age and systolic blood pressure accounted for more than 36 % of the variation in the KIM-1/cr. ratio ( R = 0.604, p < 0.001). Conclusion: We demonstrated that male, obese, hypertensive adolescents with hyperuricemia have higher urine NGAL and KIM-1 levels relative to a reference group with normouricemia.
- Subjects
POLAND; BIOMARKERS; CARRIER proteins; CHI-squared test; CONFIDENCE intervals; ENZYME-linked immunosorbent assay; FLOW cytometry; METABOLIC disorders; RESEARCH funding; SEX distribution; STATISTICS; U-statistics; URIC acid; DATA analysis; MULTIPLE regression analysis; DATA analysis software; DESCRIPTIVE statistics
- Publication
Pediatric Nephrology, 2013, Vol 28, Issue 9, p1863
- ISSN
0931-041X
- Publication type
Article
- DOI
10.1007/s00467-013-2491-y