División of Nephrology, A Coruña University Hospital, A Coruña, Spain.
Rheumatology and Health Research Group, Faculty of Health Sciences, A Coruña University, A Coruña, Spain.
PLoS One. 2024 Jun 11;19(6):e0304105. doi: 10.1371/journal.pone.0304105. eCollection 2024.
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.
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.
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.
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.
高尿酸血症对慢性肾脏病(CKD)的发生和进展的潜在影响仍存在争议。一般来说,血尿酸(UA)水平与 CKD 进展速度之间的相关性,如果有的话,也只是适度的,而相关试验结果表明降低尿酸治疗对这一结果没有效果。UA 的尿排泄率可能更准确地反映尿酸相关肾损伤的潜在后果。
我们采用横断面设计,研究了 120 例晚期 CKD 患者(平均肾小球滤过率 21.5 毫升/分钟)的 UA 尿排泄率的不同估计值(总 24 小时排泄量、平均尿浓度、肾清除率和分数排泄率)(主要研究变量)与选定的肾损伤和 CKD 进展生物标志物(DKK3、KIM1、NGAL、白细胞介素 1b 和 MCP)(主要结果变量)之间的相关性。我们考虑了可能对所探讨的相关性产生混杂影响的基本人口统计学、临床和分析变量(对照变量)。采用 Spearman 秩相关和非线性广义加性回归模型(GAM)与 p-样条平滑器进行统计分析。
多变量分析显示,UA 尿浓度、清除率和分数排泄率(而不是血浆 UA 或总 24 小时 UA 排泄率)与所研究的标志物之间存在独立的相关性。这些相关性在 DKK3 和 NGAL 中比其他生物标志物更为一致。肾小球滤过率、蛋白尿以及他汀类药物或肾素-血管紧张素-醛固酮轴拮抗剂的治疗也是主要结果变量的其他独立相关因素。
我们的结果支持这样一种假设,即在晚期 CKD 患者中,UA 的尿排泄率可能比这种代谢物的血浆水平更能准确地反映 UA 相关的肾损伤。此外,还需要进行纵向研究,以揭示这些发现的临床意义。