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dc.contributor.authorLópez-Iglesias, Antía
dc.contributor.authorBlanco Pardo, Marta
dc.contributor.authorRodríguez-Magariños, Catuxa
dc.contributor.authorPértega-Díaz, Sonia
dc.contributor.authorSierra Castro, Diego
dc.contributor.authorGarcía-Falcón, Teresa
dc.contributor.authorRodríguez-Carmona, Ana
dc.contributor.authorPérez-Fontán, Miguel
dc.date.accessioned2024-06-19T06:39:13Z
dc.date.available2024-06-19T06:39:13Z
dc.date.issued2024-06-11
dc.identifier.citationLópez Iglesias A, Blanco Pardo M, Rodríguez Magariños C, Pértega S, Sierra Castro D, García Falcón T, Rodríguez-Carmona A, Pérez Fontán M. Association of urinary excretion rates of uric acid with biomarkers of kidney injury in patients with advanced chronic kidney disease. PLoS One. 2024 Jun 11;19(6):e0304105.es_ES
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/2183/37112
dc.description.abstract[Abstract] Background: The potential influence of hyperuricemia on the genesis and progression of chronic kidney disease (CKD) remains controversial. In general, the correlation between blood levels of uric acid (UA) and the rate of progression of CKD is considered to be modest, if any, and the results of relevant trials oriented to disclose the effect of urate-lowering therapies on this outcome have been disappointing. Urinary excretion rates of UA could reflect more accurately the potential consequences of urate-related kidney injury. Method: Using a cross-sectional design, we investigated the correlation between different estimators of the rates of urinary excretion of UA (total 24-hour excretion, mean urinary concentration, renal clearance and fractional excretion)(main study variables), on one side, and urinary levels of selected biomarkers of kidney injury and CKD progression (DKK3, KIM1, NGAL, interleukin 1b and MCP)(main outcome variables), in 120 patients with advanced CKD (mean glomerular filtration rate 21.5 mL/minute). We took into consideration essential demographic, clinical and analytic variables with a potential confounding effect on the explored correlations (control variables). Spearman's rho correlation and nonlinear generalized additive regression models (GAM) with p-splines smoothers were used for statistical analysis. Main results: Multivariate analysis disclosed independent correlations between urinary UA concentrations, clearances and fractional excretion rates (but not plasma UA or total 24-hour excretion rates of UA), on one side, and the scrutinized markers. These correlations were more consistent for DKK3 and NGAL than for the other biomarkers. Glomerular filtration rate, proteinuria and treatment with statins or RAA axis antagonists were other independent correlates of the main outcome variables. Conclusions: Our results support the hypothesis that urinary excretion rates of UA may represent a more accurate marker of UA-related kidney injury than plasma levels of this metabolite, in patients with advanced stages of CKD. Further, longitudinal studies will be necessary, to disclose the clinical significance of these findings.es_ES
dc.language.isoenges_ES
dc.publisherPLoS Onees_ES
dc.relation.urihttps://doi.org/10.1371/journal.pone.0304105es_ES
dc.rightsCreative Commons Attribution 4.0 International License (CC-BY 4.0)es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectBiomarkerses_ES
dc.subjectRenal Insufficiency, Chronices_ES
dc.subjectUric Acides_ES
dc.titleAssociation of urinary excretion rates of uric acid with biomarkers of kidney injury in patients with advanced chronic kidney diseasees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitlePLoS Onees_ES
UDC.volume19es_ES
UDC.issue6es_ES
UDC.startPagee0304105es_ES
dc.identifier.doi10.1371/journal.pone.0304105


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