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Am J Nephrol. Apr 2011; 33(4): 298–304.
Published online Mar 8, 2011. doi:  10.1159/000324847
PMCID: PMC3064939
Serum Uric Acid Level and Endothelial Dysfunction in Patients with Nondiabetic Chronic Kidney Disease
Mehmet Kanbay,a* Mahmut Ilker Yilmaz,a Alper Sonmez,b Faruk Turgut,a Mutlu Saglam,c Erdinc Cakir,d Mujdat Yenicesu,a Adrian Covic,e Diana Jalal,f and Richard J. Johnsonf
aDivision of Nephrology, Gulhane School of Medicine, Ankara, Turkey
bDivision of Endocrinology, Department of Medicine, Gulhane School of Medicine, Ankara, Turkey
cDepartment of Radiology, Gulhane School of Medicine, Ankara, Turkey
dDepartment of Biochemistry, Gulhane School of Medicine, Ankara, Turkey
eNephrology Clinic, Dialysis and Renal Transplant Center, ‘C.I. Parhon’ University Hospital, ‘Gr. T. Popa’ University of Medicine and Pharmacy, Iasi, Romania
fDivision of Renal Diseases and Hypertension, University of Colorado, Denver, Colo., USA
*Mehmet Kanbay, Alparslan Mahallesi, Umit sokak, No. 25/14, Melikgazi, TR–38030 Kayseri (Turkey), Tel. +90 505 266 88 66, E-Mail drkanbay/at/yahoo.com
Received December 21, 2010; Accepted February 2, 2011.
Background
An elevated serum uric acid level is strongly associated with endothelial dysfunction and inflammation, both of which are common in chronic kidney disease (CKD). We hypothesized that endothelial dysfunction in subjects with CKD would correlate with uric acid levels.
Materials and Methods
We evaluated the association between serum uric acid level and ultrasonographic flow-mediated dilatation (FMD) in 263 of 486 patients with recently diagnosed CKD (stage 3–5) (48% male, age 52 ± 12 years). To minimize confounding, 233 patients were excluded because they were diabetic, had established cardiovascular complications or were taking drugs (renin-angiotensin system blockers, statins) interfering with vascular function.
Results
Serum uric acid level was significantly increased in all stages of CKD and strongly correlated with estimated glomerular filtration rate (eGFR-MDRD); FMD was inversely associated with serum uric acid (r = −0.49, p < 0.001). The association of serum uric acid with FMD remained after adjustment for age, gender, smoking, LDL cholesterol, eGFR, high-sensitivity C-reactive protein, systolic blood pressure, proteinuria, and homeostatic model assessment index (β = −0.27, p < 0.001).
Conclusion
Increased serum uric acid is an independent predictor of endothelial dysfunction in subjects with CKD.
Key Words: Chronic kidney disease, Uric acid, Endothelial dysfunction
Patients with chronic kidney disease (CKD) often manifest endothelial dysfunction, which is usually defined as a defect in endothelial nitric oxide (NO) bioavailability [1]. At the same time, endothelial dysfunction has emerged as an important risk factor for progression of kidney disease [1]. In the remnant kidney model, an experimental model of CKD, the degree of endothelial dysfunction is an important predictor for progression of kidney disease [2,3]. Other studies have also shown that a lack of endothelial NO can accelerate both nondiabetic and diabetic kidney disease as well as aging-related renal disease in laboratory models [4,5,6].
Endothelial function, as determined by the dilation of the brachial artery following transient occlusion (flow-mediated dilation (FMD)), is inversely correlated with serum uric acid levels in subjects with asymptomatic hyperuricemia as well as in hyperuricemia associated with essential hypertension [7,8,9]. Uric acid has also been found to reduce NO in cultured endothelial cells, probably by inducing intracellular oxidative stress and inflammation [10,11,12,13]. Conversely, reducing uric acid with a xanthine oxidase inhibitor improves endothelial function in subjects with asymptomatic hyperuricemia as well as in association with a wide variety of conditions, including diabetes, heart failure, or sleep apnea syndrome [9,14,15,16,17,18]. Nevertheless, no study has examined the relationship between uric acid and endothelial function in subjects with CKD. This is important as it is recognized that CKD may be associated with other conditions that potentially reduce endothelial function, including oxidative stress and circulating NO synthase inhibitors [1,19,20,21]. We therefore tested the hypothesis that serum uric acid is an independent predictor of endothelial dysfunction in subjects with nondiabetic CKD.
Study Population
The Ethical Committee of Gulhane School of Medicine (Etlik-Ankara, Turkey) approved the study, and all patients gave their informed consent. Between May 2005 and May 2010, a total number of 486 patients with CKD stage 3–5 were referred to the nephrology outpatient clinics of Gulhane School of Medicine because of suspected or manifest renal failure. Part of the patient population was included in previous analyses carried out on the same endothelial-function studies database [22,23].
All patients received for the first time a diagnosis of CKD according to their estimated glomerular filtration rate (eGFR) and the presence of kidney injury as defined by National Kidney Foundation Kidney Disease Outcomes Quality Initiative (K/DQOI) guidelines calculated according to the simplified version of the Modification of Diet in Renal Disease (MDRD) formula as defined by Levey et al. [24] and were classified with respect to eGFR levels from stages 3 to 5. To diminish any confounders that may influence patients with endothelial dysfunction, patients with established atherosclerotic complication (coronary artery disease, congestive heart failure, or peripheral vascular disease), on dialysis and nephrotic syndrome were not included. We also excluded subjects with a history of smoking, or current use of angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, statins, and supplemental vitamins/polyvitamins including folic acid and vitamin B12. In addition, patients with a previous diagnosis of gout, diabetes, current use of oral antidiabetic medication, insulin, thiazide, allopurinol or uricosuric, or a fasting glucose level 126 mg/dl were excluded. Finally, an unwillingness to participate in the study also qualified for exclusion (fig. (fig.11).
Fig. 1
Fig. 1
Flow diagram of the study population.
378 nondiabetic patients were eligible for the study. 82 patients were excluded because they were on treatment with angiotensin-converting enzyme (ACE) inhibitors or angiotensin receptor blockers, 27 because they were on statins, and 6 because they were being treated with polyvitamins. None of the patients were being treated with erythropoietin-stimulating agents (ESA). Thus, 263 nondiabetic patients were eventually selected. 92 patients had stage 3 CKD, 80 stage 4 CKD, and 91 stage 5 CKD. None had acute infections at the time of the study. The etiology of CKD in these patients was chronic glomerulonephritis in 46, nephrosclerosis in 67, chronic pyelonephritis in 23, reflux nephropathy in 19, autosomal polycystic kidney disease in 26, and unknown in 82. At the time of the study, 26 patients were taking calcium channel blockers, 4 β-blockers and 5 diuretics.
Blood Pressure Measurements
Hypertension was defined as systolic blood pressure (SBP) >140 mm Hg or diastolic BP (DBP) >90 mm Hg on repeated measurements or the use of antihypertensive drugs. The arterial BPs were measured by a physician three times after a 15-min resting period in the morning, and mean values were calculated for SBP and DBP for all participants.
Laboratory Measurements
Blood sampling was performed in the morning, after 12 h of fasting. Samples (6–8 ml) of venous blood were collected from each subject in the morning between 08:00 and 09:00, after an overnight fast. After clot formation, the samples were centrifuged (4,000 rpm) at room temperature for 10 min. The serum samples were stored at −80°C until the time of the assay.
In all patients we measured fasting plasma glucose, total serum cholesterol, triglyceride, high-density lipoprotein, low-density lipoprotein (LDL) cholesterol. 24-hour urine collection was performed three times and the average of three 24-hour proteinuria measurements was taken as representative of each participant's 24-hour protein excretion rate.
The basal insulin level was measured by the coated tube method (DPC, USA). An insulin resistance score homeostasis model assessment-insulin resistance (HOMA-IR) was computed which was previously defined [25]. Measurements of high-sensitivity C-reactive protein (hsCRP) were done according to well-established methods which we have described in detail elsewhere [26].
Serum uric acid levels were determined in all samples. All assays were performed in the central laboratory of the Gulhane Military Medical Academy Hospital, with an Olympus AU2700 autoanalyzer using its own kits (Olympus Diagnostics, Hamburg, Germany).
Vascular Assessment
According to the method of Celermajer et al. [27], the endothelium-dependent vasodilation (FMD) of the brachial artery were assessed by using high-resolution ultrasound. Measurements were made by a single observer using an ATL 5000 ultrasound system (Advanced Technology Laboratories, Bothell, Wash., USA) with a 12-MHz probe. All vasoactive medications were withheld for 24 h before the procedure. The subjects remained at rest in the supine position for at least 15 min before the examination started. The participant's arm was comfortably immobilized in the extended position to allow consistent recording of the brachial artery 2–4 cm above the antecubital fossa. Three adjacent measurements of end-diastolic brachial artery diameter were made from single two-dimensional frames. All ultrasound images were recorded on S-VHS videotape for subsequent blinded analysis. A pneumatic tourniquet was inflated to 200 mm Hg with obliteration of the radial pulse. After 5 min, the cuff was deflated. Flow measurements were made 60 s after deflation. The maximum FMD dilation diameters were calculated as the average of the three consecutive maximum diameter measurements. The FMD was then calculated as the percentage change in diameter compared with baseline resting diameters.
Statistical Analysis
All data are presented as mean ± SD unless stated otherwise. Continuous variables were checked for the normal distribution assumption using the Kolmogorov-Smirnov statistics and those that did not satisfy the criteria were log-transformed to attain normal distribution. The study group was divided in two subgroups based on the median serum uric acid level. Differences among the groups were analyzed by Student's t test (continuous variables) and the χ2 test (categorical variables). All potential (physiologically meaningful) determinants of the serum uric acid were investigated in a univariate screening procedure, using Pearson's coefficient of correlation test. The nonparametric Spearman ρ coefficient of correlation was used to assess correlations between variables without normal distribution. Finally, multiple regression analysis was applied to test the independent link between FMD and potential functional correlates of this variable. To this scope we computed models of increasing complexity adjusting for traditional (Framingham risk factors) and emerging risk factors as well as for the diagnosis of renal disease and inflammatory parameters. p < 0.05 for the final model was considered as statistically significant. Data were analyzed using the SSPS 15.0 for Windows software (SPSS Inc., Chicago, Ill., USA).
The demographic, clinical, and biochemical characteristics of the study population, categorized according to the median serum uric acid value (7.5 mg/dl), are shown in table table11.
Table 1
Table 1
Demographics and biochemical data of the nondiabetic CKD patients categorized according to median serum uric acid level (7.5 mg/dl)
Categorical Analysis of Uric Acid and Other Risk Factors
No significant differences were found between subjects with serum uric acid above the median and those below the median with regard to age, gender, body mass index, DBP, serum albumin, LDL cholesterol, HOMA index, and proteinuria (p > 0.05). Subjects with higher serum uric acid levels had a higher SBP (p = 0.007), higher CRP levels (p < 0.001) and lower eGFR (p < 0.001). Using categorical analysis, FMD was significantly less in subjects with higher serum uric acid (defined as above the median value, p < 0.001).
Uni- and Multivariate Analyses
Uric acid was closely associated with FMD (r = −0.49, p < 0.001; fig. fig.2),2), eGFR (r = −0.47, p < 0.001), and hsCRP (r = 0.24, p < 0.001), but not with age, gender, SBP and DBP, LDL cholesterol and proteinuria. On the other hand, FMD correlated inversely with uric acid (r = −0.49, p < 0.001), eGFR (r = 0.59, p < 0.001), hsCRP (r = −0.33, p < 0.001), SBP (r = −0.20, p = 0.001) and serum albumin (r = 0.31, p < 0.001).
Fig. 2
Fig. 2
Correlation between FMD and uric acid in patients with CKD stage 3–5.
To determine the independent contribution of uric acid to FMD, we constructed a series of multiple regression models based on traditional and nontraditional risk factors impacting upon FMD. All the parameters that significantly correlated with FMD, as well as other factors considered physiologically as potentially relevant for FMD, were introduced in standard multivariate regression analysis in a three-step procedure, using the enter method. In the first step we evaluated the independent influence of uric acid and Framingham risk factors on FMD in our population. In this first step, uric acid (β = −0.48, p < 0.001), FGF-23 (β = 0.47, p = 0.001) and SBP (β = −0.14, p = 0.009) were the only statistically significant independent predictors that correlated with FMD (table (table22).
Table 2
Table 2
Multiple regression models of FMD in patients with CKD stages 3 and 4
In the second step, we adjusted for the presence of Framingham risk factors, proteinuria and eGFR. After these adjustments, serum uric acid (β = −0.27, p < 0.001), SBP (β = −0.11, p = 0.03), and eGFR (β = 0.45, p < 0.001) remained statistically significant predictors of the FMD (table (table22).
In the third step, we adjusted for the presence of Framingham risk factors, proteinuria, eGFR, HOMA and hsCRP. After these adjustment, only uric acid (β = −0.27, p < 0.001) and eGFR (β = 0.41, p < 0.001) remained significant predictors of FMD.
We also performed an analysis in which subjects with elevated serum uric acid levels (defined as ≥7 mg/dl in men and ≥6 mg/dl in women) were excluded in order to determine if uric acid levels within the normal range also predicted FMD. Of the 263 subjects, 70 had normal uric acid levels. When this group was divided into two groups according to the median values, FMD remained significantly less in subjects with the higher serum uric acid (defined as above the median value, p = 0.03).
The primary finding in this study was that endothelial dysfunction, as determined by measuring FMD, was independently associated with both reduced eGFR and with elevations in serum uric acid levels. Specifically, we evaluated endothelial function in 263 nondiabetic subjects with CKD and a mean eGFR of 26 ml/min/1.73 m2. In this group, the median serum uric acid was 7.5 mg/dl. FMD varied markedly, with a range from 4 to 8.2% (mean 6.4%). Importantly, endothelial function correlated inversely with serum uric acid levels (fig. (fig.2).2). Multivariate analysis confirmed that uric acid was an important predictor of endothelial function, independent of numerous risk factors including eGFR and the Framingham risk factors. These studies suggest that uric acid could have a role in driving endothelial dysfunction in subjects with nondiabetic CKD. Since endothelial dysfunction appears to be a major risk factor for progression of CKD [1], our data provide a rationale for lowering uric acid in CKD, as a means to slow renal disease progression.
There is already consistent evidence that uric acid may have a role in the progression of CKD. For example, several studies have shown that an elevated uric acid predicts the development of CKD in the general population [28,29,30]. An elevated uric acid also predicts the development of diabetic nephropathy in subjects with type 1 diabetes [31,32]. Experimental studies have reported that lowering uric acid can slow renal disease progression in both diabetic and nondiabetic renal disease [33,34]. Furthermore, several pilot studies suggest that lowering uric acid with a xanthine oxidase inhibitor can improve renal function in subjects without CKD, and may slow renal progression in subjects with CKD [35,36,37]. In this regard, Goicoechea et al. [37] recently reported a randomized trial in which allopurinol (100 mg/day) slowed renal progression and reduced cardiovascular events in subjects with stage 3 CKD.
In this analysis, we excluded subjects receiving ACE inhibitors or statins as they are known to influence endothelial function and hence could be confounders.
We were most interested in the role of reduced eGFR itself, as this may lead to retention of substances such as uric acid and asymmetric dimethylarginine, the latter considered a circulating uremic toxin that competes with L-arginine for endothelial NO synthase [19,20]. Importantly, both eGFR and uric acid emerged as independent risk factors for endothelial dysfunction. This suggests that uric acid might affect endothelial function distinct from the effects of reduced GFR, and hence may provide a new therapeutic target to reduce renal disease progression.
It is important to recognize that the independent association of uric acid with endothelial function in this study does not imply that uric acid is directly responsible for the endothelial dysfunction. Indeed, uric acid could reflect underling xanthine oxidase activity, since xanthine oxidase generates uric acid from xanthine. In addition, xanthine oxidase is also known to generate oxidants. In this way, an elevated uric acid could simply reflect the presence of xanthine oxidase-associated oxidants, which may be ultimately responsible for the endothelial dysfunction [38]. Indeed, George et al. [38] reported that endothelial function in subjects with congestive heart failure improved only when uric acid was lowered by a xanthine oxidase inhibitor as opposed to when a uricosuric was utilized. Waring et al. [39] also suggested that the acute infusion of uric acid actually improves endothelial function rather than impairs it, in subjects with diabetes. However, while uric acid in the extracellular environment is an antioxidant, there is increasing evidence that uric acid, when entering the cells, is prooxidative and directly induces endothelial dysfunction [10,11,12,13,40,41]. Allopurinol may improve endothelial function better than uricosurics by reducing intracellular uric acid more effectively.
In conclusion, subjects with nondiabetic CKD display a wide range of endothelial function, as measured by FMD. Subjects with a higher uric acid (>7.5 mg/dl) have a significantly worse FMD compared to subjects with uric acid levels <7.5 mg/dl. This relationship persists after controlling for all Framingham risk factors and eGFR. Since endothelial function is an important risk factor for renal progression, this study suggests the importance of determining if lowering uric acid can improve endothelial function in CKD and whether this can translate into significant slowing or improvement in renal function.
Disclosure Statement
R.J.J. has patent applications related to lowering uric acid as a means to treat hypertension, reduce the frequency of diabetes, and treat fatty liver. The other authors have no relationships or financial interests with companies related to the findings of this work. There are no conflicts of interest to disclose.
Acknowledgement
R.J.J. is supported by NIH grant HL-68607.
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