Journal List > J Rheum Dis > v.28(4) > 1147457

Koo, Jeong, Son, Kim, Kim, and Jun: J-shaped Relationship Between Chronic Kidney Disease and Serum Uric Acid Levels: A Cross-sectional Study on the Korean Population

Abstract

Objective

Both hypouricemia and hyperuricemia are reportedly associated with reduced kidney function This study investigated the association between uric acid levels and the risk of reduced renal function in men and women

Methods

We conducted a cross-sectional study using data from a government-funded health examinee cohort of a Korean genome and epidemiological study A total of 172,970 participants (58,981 men, 113,989 women) aged 40∼79 years were included A logistic regression test was performed, and the odds ratio (OR) and 95% confidence interval (CI) were calculated to examine the relationship between stratified uric acid levels and the frequency of chronic kidney disease

Results

As the uric acid level increased, the risk of reduced renal function increased Moreover, for uric acid levels ≤20 mg/dL, the risk of reduced renal function was higher than that of the reference group Among the total, man, and woman groups, a statistically significant association was observed in men (OR 171, 95% CI 0945∼3111, OR 5003, 95% CI 1405∼17809, and OR 1377, 95% CI 0696∼2724, respectively)

Conclusion

The OR of reduced renal function according to uric acid levels formed a J-shaped curve in both genders

INTRODUCTION

Abnormalities in uric acid levels are correlated with a variety of diseases. Hyperuricemia is an important risk factor for various systemic diseases including gout, hypertension, type 2 diabetes, chronic kidney disease, and cardiovascular diseases [1]. Since hyperuricemia is frequently found, it has been demonstrated to be associated with a variety of diseases based on the epidemiologic characteristics of different ethnic groups [2,3]. However, studies on the association of hypouricemia with other conditions are still scarce, compared to the volume of literature available on hyperuricemia.
Since 70% of uric acid is excreted by the kidneys, kidney function and uric acid levels are closely related [4]. Renal glomerular filtration, proximal tubular reabsorption, secretion, and post-secretory reabsorption are associated with the regulation of uric acid in the body [5]. Although it remains questionable whether uric acid is the cause of kidney disease, several studies have suggested that hyperuricemia may be a pathogenic factor in the development of chronic kidney disease [6]. However, there have recently been several reports revealing the association of hypouricemia with chronic kidney disease as well [7-9]. Although the pathophysiological mechanism is unclear, the role of both hypouricemia and hyperuricemia in determining renal function deserves closer examination. Therefore, it is necessary to stratify the risk of reduced renal function according to uric acid levels. Moreover, since uric acid distribution or the prevalence of uric acid-related disorders differ between men and women, it is necessary to evaluate the risk separately for men and women.
A population-based study conducted in Japan confirmed a significant correlation between hypouricemia and reduced renal function in men [10]. Recently, the correlation between renal function and serum uric acid level has been revealed using single center data in Korea; however, it remains necessary to establish the correlation between them in large population groups [11]. Therefore, the aim of the study was to determine the association between the reduced renal function and the uric acid level in men and women using data from the population-based cohort in Korea.

MATERIALS AND METHODS

Study population

This cross-sectional study used baseline data from the health examinee (HEXA) cohort from the Korean genome and epidemiology study (KoGES), which was collected between 2004 and 2013 [12]. A total of 173,357 participants aged 40∼79 years were included in this cohort. Among these, we excluded individuals with missing data on age, gender, serum uric acid, and serum creatinine levels. Participants being treated for gout were also excluded. In a previous study, we used this data to determine the prevalence of hyperuricemia and hypouricemia [13]. The study population was the same as that included in the previous study; the study design was, however, modified to assess the risk of reduced renal function according to uric acid levels [13]. This study was approved by the Institutional Review Board (HYUH-2016-01-024) and performed in accordance with the guidelines laid down by the Declaration of Helsinki (1964) and its later amendments. Informed consent was waived by the board because of the retrospective nature of the study.

Data collection

Information on the medical history, use of medications, alcohol consumption, smoking, exercise, and family history was collected from the questionnaires. History of underlying cardiovascular conditions such as angina and myocardial infarction, and cerebrovascular conditions such as stroke (except transient ischemic attack) was also collected. Physical examination including blood pressure, height, weight, and waist circumference was performed during the health screening. Body mass index (BMI) was calculated as weight (in kg) divided by the square of height (in m). Serum uric acid levels were categorized as ≤2, 2.1∼3.0, 3.1∼4.0, 4.1∼5.0, 5.1∼6.0, 6.1∼7.0, and >7 mg/dL, with the median category (4.1∼5.0 mg/dL) set as the reference category. In addition, participants were categorized as quartiles of serum uric acid levels (5th, 20th, 80th, and 95th percentiles) in men and women. Hypouricemia was defined as serum uric acid levels ≤2 mg/dL, and hyperuricemia was defined as serum uric acid levels >7 mg/dL. The estimated glomerular filtration rate (eGFR) was obtained by the Modification of Diet in Renal Disease (MDRD) study equation: eGFR (mL/min per 1.73 m2)=186×(serum creatinine)−1.154 ×(age)−0.203×1.212 (if Black)×0.742 (if female) [14,15]. The main outcome was reduced renal function, defined as eGFR <60 mL/min/1.73 m2. Proteinuria and glycosuria were defined as 1+ or greater result (equivalent to ≥30 mg/dL) on a dipstick urinalysis.

Statistical analysis

Data were analyzed separately by sex, because the serum uric acid levels differ depending on gender. All values are presented as mean±standard deviation, number (%), or median (interquartile range). Comparison of clinical characteristics by serum uric acid levels was performed using the analysis of variance or the t-test for continuous data, and the chi-square test for categorical data. Logistic regression analysis was used to test the association between hypouricemia and reduced renal function after adjusting for potential confounding variables such as age, gender, drinking status, smoking status, exercise, medical history, BMI, blood urea nitrogen, proteinuria, glycosuria, and serum uric acid levels. All data were analyzed using IBM SPSS statistical software version 23 for Windows (IBM Corp., Armonk, NY, USA) and p-values less than 0.05 were considered statistically significant.

RESULTS

Clinical characteristics

Patient enrolment has been described in a previous study [13]. The clinical characteristics of the participants are shown in Table 1. The average age was 53.1±8.4; 45.2% were current drinkers and 12.4% were current smokers. As for the medical history, 2.2% of participants had chronic kidney disease. Most participants had uric acid levels in the range of 4.1∼5.1 mg/dL. Among variables, a statistically significant difference between men and women could be seen with respect to smoking and drinking status, medical history, and uric acid levels.

Relationship between serum uric acid level and reduced renal function

A scatter plot shows the relationship between serum uric acid level and MDRD eGFR (Figure 1). There were more male participants with higher serum uric acid levels than female. When comparing the regression lines, eGFR in hypouricemia was similar in men and women; however, as the serum uric acid level increased, the eGFR decreased more in women than in men.
The prevalence of reduced renal function participants was calculated according to the serum uric acid level category (Figure 2). The prevalence of reduced renal function was higher in men than in women with hypouricemia. However, in those with hyperuricemia, the prevalence of reduced renal function was higher in women than in men.
Regarding the classification by quartiles of the serum uric acid, the 5th, 20th, 80th, and 95th percentiles were 3.7, 4.7, 6.7, and 7.9 mg/dL in men and 2.8, 3.4, 4.9, and 5.9 mg/dL in women, respectively. Figure 3 shows the prevalence of chronic kidney disease in five quartiles in men and women. The prevalence of Q1 with the lowest serum uric acid level (serum uric acid level <3.7 mg/dL in men and <2.8 mg/dL in women) was higher in men than in women and the prevalence of Q5 with the highest serum uric acid level (serum uric acid level ≥7.9 mg/dL in men and ≥5.9 mg/dL in women) was higher in women than in men.

The association between uric acid levels and reduced renal function in the total group

To examine the relationship between each variable and the renal function, the unadjusted odds ratio (OR) was evaluated in the total, man, and woman participant groups (Supplementary Table 1). Among these, the statistically significant variables were included in the analysis of the adjusted OR (Table 2). In the total group, age and gender were significantly associated with reduced renal function (OR 1.097, 95% confidence interval (CI) 1.091∼1.103 and OR 2.491, 95% CI 2.201∼2.818, respectively). Current drinkers were associated with a lower risk of reduced renal function than teetotalers (OR 0.732, 95% CI 0.665∼0.806). Hypertension, diabetes, cardiovascular disease, and cerebrovascular disease were significantly associated with reduced renal function (OR 1.448, 95% CI 1.333∼1.572; OR 1.604, 95% CI 1.442∼1.784; OR 1.667, 95% CI 1.444∼1.923; and OR 1.828, 95% CI 1.495∼2.236, respectively).
Among all participants, there was no significant difference between the uric acid ≤2.0 mg/dL group and the reference group (OR 1.715, 95% CI 0.945∼3.111). However, the 2.1∼3.0 mg/dL and 3.1∼4.0 mg/dL groups had significantly lower OR (OR 0.426, 95% CI 0.315∼0.576 and OR 0.674, 95% CI 0.585∼0.777, respectively), and the 5.1∼6.0 mg/dL, 6.1∼7.0 mg/dL, and >7.0 mg/dL groups had significantly higher OR than that of the reference group (OR 2.070, 95% CI 1.848∼2.318; OR 4.132, 95% CI 3.638∼4.692; and OR 11.884, 95% CI 10.395∼13.588, respectively). The graphical representation of the OR according to the uric acid category formed a J-shaped curve (Figure 4).

The association between uric acid levels and reduced renal function in men and women

Variables related to reduced renal function in men and women were similar to those of the total participants group (Table 2). However, malignancy increased the risk of reduced renal function in men (OR 1.622, 95% CI 1.209∼2.177), but not in women (OR 0.918, 95% CI 0.711∼1.185). In addition, glycosuria increased the risk of reduced renal function in women (OR 1.808, 95% CI 1.249∼2.618), but not in men (OR 1.291, 95% CI 0.923∼1.807).
The group with uric acid ≤2.0 mg/dL had a significantly higher risk of reduced renal function than the reference group in men (OR 5.003, 95% CI 1.405∼17.809), though not in women (OR 1.377, 95% CI 0.696∼2.724). Meanwhile, groups with uric acid levels 2.1∼3.0 mg/dL and 3.1∼4.0 mg/dL had a significantly lower risk of reduced renal function than the reference group in women (OR 0.336, 95% CI 0.238∼0.475 and OR 0.632 95% CI 0.542∼0.737, respectively), though not in men (OR 1.444, 95% CI 0.766∼2.721 and OR 1.061, 95% CI 0.727∼1.547, respectively). The graphical representation of the OR according to the uric acid category in men and women was also found to be J-shaped, similar to that of the total participants (Figure 4).

DISCUSSION

We investigated the relationship between serum uric acid levels and reduced renal function in a nationwide population cohort of Korea and found a J-shaped distribution of the OR of reduced renal function according to uric acid levels. Notably, the hypouricemia group showed a significantly higher OR of reduced renal function than the normal uric acid group in men (OR 5.003, 95% CI 0.766∼2.721).
It is known that hyperuricemia is a risk factor for renal impairment due to reduced GFR [16-20]. Hyperuricemia reduces the function of renal vascular endothelial cells by decreasing nitric oxide synthesis and increasing the resistance of the renal arteries [21,22]. Recently, a few studies have reported that hypouricemia is also associated with decreased renal function [10,23]. This suggests that the risk of reduced renal function appears to be J-shaped or U-shaped, which increases not only in hyperuricemia but also in hypouricemia [7,11,24,25].
Various studies suggested that hypouricemia and kidney function are closely related. Hypouricemia is associated with exercise-induced acute kidney injury and nephrolithiasis [26-31]. Recently, uric acid metabolism in the kidney was further elucidated by the identification of uric acid transporters such as the human urate transporter 1 and human glucose transporter-like protein 9 (GLUT-9) in the renal tubules [23]. In addition, it was suggested that glomerular hyperfiltration in diabetes mellitus lowers the serum uric acid levels by increasing the renal clearance of urate [32].
Additionally, we identified subtle differences in serum uric acid and reduced renal function between men and women. It has been previously suggested that hormones, among various factors, are related to differences in uric acid levels between men and women [10,33]. The relationship between menopause and serum uric acid is evidence of a hormonal contribution [10,34]. In participants with hypouricemia, an increase in the OR of reduced renal function in women than in men may be hormonally related. Multidisciplinary laboratory studies on uric acid and renal function are needed in the future.
The link between hypouricemia and chronic kidney disease has become clearer from epidemiological studies. Compared with the serum uric acid level of 2.0∼4.5 mg/dL in a large population undergoing a health check-up in Taiwan, the multivariate-adjusted hazard ratio for chronic kidney disease and hypouricemia (<2.0 mg/dL) was 1.65 (95% CI 0.53∼5.15) [8]. In a population-based cross-sectional study on 90,710 participants from Japan, hypouricemia was associated with reduced kidney function (eGFR <60 mL/min/1.73 m2) in men (OR 1.83, 95% CI 1.23∼2.74) but not in women (OR 0.61, 0.43∼0.86), relative to the reference level of serum uric acid (4.1∼5.0 mg/dL) [10]. In our study, the risk in the ≤2.0 mg/dL group was significantly higher than the reference level (4.1∼5.0 mg/dL) in men (OR 5.003). Aside from the differences in the study design, the risk of hypouricemia may have been higher than that of the normal uric acid group in our study because all the participants were aged 40 years or older. In a recent single center study on 143,762 adults who underwent health screening in Korea, low serum uric acid levels (<5.0 mg/dL) was significantly associated with end-stage renal disease in men compared to the reference uric acid level (5.80∼6.39 mg/dL) (hazard ratio=1.90) [11]. However, our study defined the lowest level of uric acid as <2.0 mg/dL in both men and women, whereas the aforementioned study defined the lowest level of uric acid as <5.0 mg/dL and <3.6 mg/dL in men and women, respectively. Our study presented the specific range of uric acid levels associated with the risk of reduced renal function stratified by gender and provided strong evidence for an epidemiological link between hypouricemia and reduced kidney function using a large population-based cohort. However, in order to lower the risk of chronic kidney disease, further research to confirm the causal relationship between uric acid and reduced renal function is essential.
We found several factors related to reduced renal function. Current drinking status might be related to a lower risk of reduced renal function regardless of gender. Other studies have also suggested an inverse relationship between alcohol consumption and the risk of reduced renal function [35,36]. In addition, an inverse association between alcohol intake and annual eGFR decline and incident low eGFR was observed in the analysis of Korean health screening data of 14,190,878 participants [37]. We found that medical history showed a significant association with the reduced occurrence of renal disease. However, malignancy was related to reduced renal function only in men. BMI was related to an increase in the risk of reduced renal function in men, and in contrast, a decrease in the risk of reduced renal function in women. Further research is needed to elucidate the various relationships between renal function and gender-related comorbidities.
The present study has several limitations. First, given the cross-sectional study design, we could not assess factors leading to the incidence of renal insufficiency, according to uric acid levels. Second, there was a selection bias due to the inclusion of subjects of a certain age group who had health-screening data and lived in urban areas. Finally, the homogeneity of data may have deteriorated because the data was collected at baseline for long periods.

CONCLUSION

In conclusion, the odd ratio of reduced renal function according to uric acid levels formed a J-shaped curve in a large population-based cohort of Korea. The risk of reduced renal function was significantly higher in hypouricemia than in normal uric acid levels among men, not women. Therefore, it is necessary to consider the association with kidney disease in men with hypouricemia.

SUPPLEMENTARY DATA

Supplementary data can be found with this article online at https://doi.org/10.4078/jrd.2021.28.4.225.

ACKNOWLEDGMENTS

This study was conducted with bioresources from the National Biobank of Korea, the Centers for Disease Control and Prevention, Republic of Korea (KBP-2016-011).

Notes

CONFLICT OF INTEREST

No potential conflict of interest relevant to this article was reported.

AUTHOR CONTRIBUTIONS

Conceptualization: B.S.K., H.J.J., and J.B.J. Data acquisition: H.J.J. and J.B.J. Formal analysis: B.S.K., H.J.J., and J.B.J. Funding: J.B.J. Supervision: C.N.S., S.H.K., G.H.K., and J.B.J. Writing—original draft: B.S.K and H.J.J. Writing—review & editing: All authors.

REFERENCES

1. Rock KL, Kataoka H, Lai JJ. 2013; Uric acid as a danger signal in gout and its comorbidities. Nat Rev Rheumatol. 9:13–23. DOI: 10.1038/nrrheum.2012.143. PMID: 22945591. PMCID: PMC3648987.
crossref
2. Singh JA. 2013; Racial and gender disparities among patients with gout. Curr Rheumatol Rep. 15:307. DOI: 10.1007/s11926-012-0307-x. PMID: 23315156. PMCID: PMC3545402.
crossref
3. Singh JA, Gaffo A. 2020; Gout epidemiology and comorbidities. Semin Arthritis Rheum. 50(3S):S11–6. DOI: 10.1016/j.semarthrit.2020.04.008. PMID: 32620196.
crossref
4. Maesaka JK, Fishbane S. 1998; Regulation of renal urate excretion: a critical review. Am J Kidney Dis. 32:917–33. DOI: 10.1016/S0272-6386(98)70067-8. PMID: 9856507.
crossref
5. Roch-Ramel F, Guisan B. 1999; Renal transport of urate in humans. News Physiol Sci. 14:80–4. DOI: 10.1152/physiologyonline.1999.14.2.80. PMID: 11390825.
crossref
6. Sharaf El Din UAA, Salem MM, Abdulazim DO. 2017; Uric acid in the pathogenesis of metabolic, renal, and cardiovascular diseases: a review. J Adv Res. 8:537–48. DOI: 10.1016/j.jare.2016.11.004. PMID: 28748119. PMCID: PMC5512153.
crossref
7. Kanda E, Muneyuki T, Kanno Y, Suwa K, Nakajima K. 2015; Uric acid level has a U-shaped association with loss of kidney function in healthy people: a prospective cohort study. PLoS One. 10:e0118031. DOI: 10.1371/journal.pone.0118031. PMID: 25658588. PMCID: PMC4320097.
crossref
8. Wang S, Shu Z, Tao Q, Yu C, Zhan S, Li L. 2011; Uric acid and incident chronic kidney disease in a large health check-up population in Taiwan. Nephrology (Carlton). 16:767–76. DOI: 10.1111/j.1440-1797.2011.01513.x. PMID: 21854506.
crossref
9. Park JH, Jo YI, Lee JH. 2020; Renal effects of uric acid: hyperuricemia and hypouricemia. Korean J Intern Med. 35:1291–304. DOI: 10.3904/kjim.2020.410. PMID: 32872730. PMCID: PMC7652664.
crossref
10. Wakasugi M, Kazama JJ, Narita I, Konta T, Fujimoto S, Iseki K, et al. 2015; Association between hypouricemia and reduced kidney function: a cross-sectional population-based study in Japan. Am J Nephrol. 41:138–46. DOI: 10.1159/000381106. PMID: 25790961.
crossref
11. Kim K, Go S, Son HE, Ryu JY, Lee H, Heo NJ, et al. 2020; Association between serum uric acid level and ESRD or death in a Korean population. J Korean Med Sci. 35:e254. DOI: 10.3346/jkms.2020.35.e254. PMID: 32686371. PMCID: PMC7371451.
crossref
12. Kim Y, Han BG. KoGES group. 2017; Cohort profile: The Korean Genome and Epidemiology Study (KoGES) consortium. Int J Epidemiol. 46:1350. DOI: 10.1093/ije/dyx105. PMID: 28938752. PMCID: PMC5837323.
crossref
13. Koo BS, Jeong HJ, Son CN, Kim SH, Kim HJ, Kim GH, et al. 2021; Distribution of serum uric acid levels and prevalence of hyper- and hypouricemia in a Korean general population of 172,970. Korean J Intern Med. 36(Suppl 1):S264–72. DOI: 10.3904/kjim.2020.116. PMID: 33227843. PMCID: PMC8009145.
crossref
14. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. 1999; A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med. 130:461–70. DOI: 10.7326/0003-4819-130-6-199903160-00002. PMID: 10075613.
15. Levey AS, Greene T, Kusek JW, Beck GJ. 2000; A simplified equation to predict glomerular filtration rate from serum creatinine. J Am Soc Nephrol. 11:155A.
16. Iseki K, Ikemiya Y, Inoue T, Iseki C, Kinjo K, Takishita S. 2004; Significance of hyperuricemia as a risk factor for developing ESRD in a screened cohort. Am J Kidney Dis. 44:642–50. DOI: 10.1016/S0272-6386(04)00934-5. PMID: 15384015.
crossref
17. Obermayr RP, Temml C, Gutjahr G, Knechtelsdorfer M, Oberbauer R, Klauser-Braun R. 2008; Elevated uric acid increases the risk for kidney disease. J Am Soc Nephrol. 19:2407–13. DOI: 10.1681/ASN.2008010080. PMID: 18799720. PMCID: PMC2588108.
crossref
18. Park JT, Kim DK, Chang TI, Kim HW, Chang JH, Park SY, et al. 2009; Uric acid is associated with the rate of residual renal function decline in peritoneal dialysis patients. Nephrol Dial Transplant. 24:3520–5. DOI: 10.1093/ndt/gfp272. PMID: 19491381.
crossref
19. Kuo CF, Luo SF, See LC, Ko YS, Chen YM, Hwang JS, et al. 2011; Hyperuricaemia and accelerated reduction in renal function. Scand J Rheumatol. 40:116–21. DOI: 10.3109/03009742.2010.507218. PMID: 20868309.
crossref
20. Sedaghat S, Hoorn EJ, van Rooij FJ, Hofman A, Franco OH, Witteman JC, et al. 2013; Serum uric acid and chronic kidney disease: the role of hypertension. PLoS One. 8:e76827. DOI: 10.1371/journal.pone.0076827. PMID: 24265674. PMCID: PMC3827035.
crossref
21. Khosla UM, Zharikov S, Finch JL, Nakagawa T, Roncal C, Mu W, et al. 2005; Hyperuricemia induces endothelial dysfunction. Kidney Int. 67:1739–42. DOI: 10.1111/j.1523-1755.2005.00273.x. PMID: 15840020.
crossref
22. Hong Q, Qi K, Feng Z, Huang Z, Cui S, Wang L, et al. 2012; Hyperuricemia induces endothelial dysfunction via mitochondrial Na+/Ca2+ exchanger-mediated mitochondrial calcium overload. Cell Calcium. 51:402–10. DOI: 10.1016/j.ceca.2012.01.003. PMID: 22361139.
23. Esparza Martín N, García Nieto V. 2011; Hypouricemia and tubular transport of uric acid. Nefrologia. 31:44–50. DOI: 10.3265/Nefrologia.pre2010.Oct.10588. PMID: 21270912.
24. Suliman ME, Johnson RJ, García-López E, Qureshi AR, Molinaei H, Carrero JJ, et al. 2006; J-shaped mortality relationship for uric acid in CKD. Am J Kidney Dis. 48:761–71. DOI: 10.1053/j.ajkd.2006.08.019. PMID: 17059995.
crossref
25. Uedono H, Tsuda A, Ishimura E, Nakatani S, Kurajoh M, Mori K, et al. 2017; U-shaped relationship between serum uric acid levels and intrarenal hemodynamic parameters in healthy subjects. Am J Physiol Renal Physiol. 312:F992–7. DOI: 10.1152/ajprenal.00645.2016. PMID: 28249837.
crossref
26. Hirasaki S, Koide N, Fujita K, Ogawa H, Tsuji T. 1997; Two cases of renal hypouricemia with nephrolithiasis. Intern Med. 36:201–5. DOI: 10.2169/internalmedicine.36.201. PMID: 9144014.
crossref
27. Ohta T, Sakano T, Ogawa T, Kato J, Awaya Y, Kihara H, et al. 2002; Exercise-induced acute renal failure with renal hypouricemia: a case report and a review of the literature. Clin Nephrol. 58:313–6. DOI: 10.5414/CNP58313. PMID: 12400848.
crossref
28. Ohta T, Sakano T, Igarashi T, Itami N, Ogawa T. 2004; Exercise-induced acute renal failure associated with renal hypouricaemia: results of a questionnaire-based survey in Japan. Nephrol Dial Transplant. 19:1447–53. DOI: 10.1093/ndt/gfh094. PMID: 15150354.
crossref
29. Nakamura A, Niimi R, Yanagawa Y. 2006; Renal hypouricemia in school-aged children: screening of serum uric acid level before physical training. Pediatr Nephrol. 21:1898–900. DOI: 10.1007/s00467-006-0255-7. PMID: 16955280.
crossref
30. Kim YH, Cho JT. 2011; A case of exercise-induced acute renal failure with G774A mutation in SCL22A12 causing renal hypouricemia. J Korean Med Sci. 26:1238–40. DOI: 10.3346/jkms.2011.26.9.1238. PMID: 21935282. PMCID: PMC3172664.
crossref
31. Shen H, Feng C, Jin X, Mao J, Fu H, Gu W, et al. 2014; Recurrent exercise-induced acute kidney injury by idiopathic renal hypouricemia with a novel mutation in the SLC2A9 gene and literature review. BMC Pediatr. 14:73. DOI: 10.1186/1471-2431-14-73. PMID: 24628802. PMCID: PMC3984694.
crossref
32. Shichiri M, Iwamoto H, Marumo F. 1990; Diabetic hypouricemia as an indicator of clinical nephropathy. Am J Nephrol. 10:115–22. DOI: 10.1159/000168065. PMID: 2190467.
crossref
33. Mumford SL, Dasharathy SS, Pollack AZ, Perkins NJ, Mattison DR, Cole SR, et al. 2013; Serum uric acid in relation to endogenous reproductive hormones during the menstrual cycle: findings from the BioCycle study. Hum Reprod. 28:1853–62. DOI: 10.1093/humrep/det085. PMID: 23562957. PMCID: PMC3685334.
crossref
34. Wingrove CS, Walton C, Stevenson JC. 1998; The effect of menopause on serum uric acid levels in non-obese healthy women. Metabolism. 47:435–8. DOI: 10.1016/S0026-0495(98)90056-7. PMID: 9550542.
crossref
35. Hsu YH, Pai HC, Chang YM, Liu WH, Hsu CC. 2013; Alcohol consumption is inversely associated with stage 3 chronic kidney disease in middle-aged Taiwanese men. BMC Nephrol. 14:254. DOI: 10.1186/1471-2369-14-254. PMID: 24238625. PMCID: PMC3840676.
crossref
36. Schaeffner ES, Kurth T, de Jong PE, Glynn RJ, Buring JE, Gaziano JM. 2005; Alcohol consumption and the risk of renal dysfunction in apparently healthy men. Arch Intern Med. 165:1048–53. DOI: 10.1001/archinte.165.9.1048. PMID: 15883245.
crossref
37. Park M, Lee SM, Yoon HJ. 2019; Association between alcohol intake and measures of incident CKD: an analysis of nationwide health screening data. PLoS One. 14:e0222123. DOI: 10.1371/journal.pone.0222123. PMID: 31539384. PMCID: PMC6754126.
crossref

Figure 1
Relationship between serum uric acid levels and eGFR. MDRD: Modification of Diet in Renal Disease, eGFR: estimated glomerular filtration rate.
jrd-28-4-225-f1.tif
Figure 2
Prevalence of reduced renal function according to serum uric acid levels. MDRD: Modification of Diet in Renal Disease, eGFR: estimated glomerular filtration rate, UA: uric acid level.
jrd-28-4-225-f2.tif
Figure 3
Prevalence of reduced renal function according to percentiles of serum uric acid levels (5th, 20th, 80th, and 95th). MDRD: Modification of Diet in Renal Disease, eGFR: estimated glomerular filtration rate, Q1: first quartile, Q2: second quartile, Q3: third quartile, Q4: fourth quartile, Q5: fifth quartile.
jrd-28-4-225-f3.tif
Figure 4
The odd ratio of reduced renal function in total, men, and women participants according to uric acid level.
jrd-28-4-225-f4.tif
Table 1
Baseline characteristics of total participants (n=172,970)
Variable Total
(n=172,970)
Men
(n=58,981)
Women
(n=113,989)
p-value
Age (yr) 53.1±8.4 54.0±8.8 52.6±8.1 <0.001
Drinking status
Never 87,166 (50.8) 11,870 (20.3) 75,296 (66.7) <0.001
Former 6869 (4.0) 4,387 (7.5) 2,482 (2.2)
Current 77,509 (45.2) 42,346 (72.3) 35,163 (31.1)
Smoking status
Never 125,022 (72.9) 16,380 (28.0) 108,642 (96.3) <0.001
Former 25,084 (14.6) 23,594 (40.3) 1,490 (1.3)
Current 21,277 (12.4) 18,608 (31.8) 2,669 (2.4)
Exercise 90,173 (52.5) 33,080 (56.5) 57,093 (50.5) <0.001
Medical history
Hypertension 33,384 (19.4) 13,193 (22.5) 20,191 (17.8) <0.001
Diabetes 11,479 (6.7) 5,464 (9.3) 6,015 (5.3) <0.001
Cardiovascular disease 4,298 (2.5) 2,108 (3.6) 2,190 (1.9) <0.001
Cerebrovascular disease 2,102 (1.2) 11,479 (6.7) 1,053 (0.9) <0.001
Malignancy 5,256 (3.1) 1,305 (2.2) 3,951 (3.5) <0.001
Chronic kidney disease 3,766 (2.2) 1,538 (2.6) 2,228 (2.0) <0.001
Physical findings
Systolic BP (mmHg) 122.7±15.5 125.9±14.7 121.1±15.6 <0.001
Diastolic BP (mmHg) 76.2±10.0 78.7±9.9 74.9±9.9 <0.001
Body mass index (kg/m2) 23.9±2.9 24.4±2.7 23.7±3.0 <0.001
Waist circumference (cm) 81.1±8.7 85.8±7.5 78.6±8.2 <0.001
Laboratory results
Fasting serum glucose (mg/dL) 95.2±21.6 99.2±24.5 93.1±19.6 <0.001
Total cholesterol (mg/dL) 197.5±35.6 193.3±34.9 199.6±35.8 <0.001
HDL cholesterol (mg/dL) 54.0±12.9 49.7±12.0 56.3±12.9 <0.001
Triglyceride (mg/dL) 126.8±89.7 151.1±108.7 114.2±74.9 <0.001
BUN (mg/dL) 14.3±4.0 15.1±4.1 13.9±3.9 <0.001
Creatinine (mg/dL) 0.8±0.2 1.0±0.2 0.7±0.2 <0.001
eGFR (mL/min/1.73 m2) 89.5±16.5 87.9±15.6 90.3±16.8 <0.001
Total bilirubin (mg/dL) 0.7±0.3 0.8±0.3 0.7±0.3 <0.001
r-GT (IU/L) 31.2±45.2 48.4±66.6 22.2±23.9 <0.001
AST (IU/L) 23.9±18.0 26.1±16.1 22.8±18.8 <0.001
ALT (IU/L) 22.5±21.8 27.2±21.4 20.0±21.7 <0.001
Proteinuria 4,202 (2.6) 1,717 (3.1) 2,485 (2.4) <0.001
Glycosuria 1,826 (1.1) 1,083 (2.0) 743 (0.7) <0.001
Uric acid levels (mg/dL)
≤2.0 720 (0.4) 65 (0.1) 655 (0.6) <0.001
2.1∼3.0 10,874 (0.4) 758 (1.3) 10,116 (8.9)
3.1∼4.0 46,049 (26.6) 4,125 (7.0) 41,924 (36.8)
4.1∼5.0 55,115 (31.9) 12,970 (22.0) 42,145 (37.0)
5.1∼6.0 34,545 (20.0) 19,532 (33.1) 15,013 (13.2)
6.1∼7.0 16,877 (9.8) 13,672 (23.2) 3,205 (2.8)
>7.0 8,790 (5.1) 7,859 (13.3) 931 (0.8)

Values are presented as mean±standard deviation, number (%). Patients with missing values were not included. BP: blood pressure, BUN: blood urea nitrogen, HDL: high density lipoprotein, eGFR: estimated glomerular filtration rate, r-GT: gamma-glutamyl transferase, AST: aspartate transaminase, ALT: alanine transaminase.

Table 2
Adjusted odds ratio for the association between serum uric acid and reduced renal function in total, men, and women participants
Variable Total Men Women
OR (95% CI) p-value OR (95% CI) p-value OR (95% CI) p-value
Age (yr) 1.097 (1.091∼1.103) <0.001 1.087 (1.078∼1.096) <0.001 1.107 (1.099∼1.116) <0.001
Women 2.491 (2.201∼2.818) <0.001
Drinking status
Never Reference Reference Reference
Former 0.977 (0.821∼1.161) 0.790 0.906 (0.733∼1.120) 0.362 0.868 (0.609∼1.235) 0.431
Current 0.732 (0.665∼0.806) <0.001 0.639 (0.554∼0.736) <0.001 0.828 (0.728∼0.941) 0.004
Smoking status
Never Reference Reference Reference
Former 0.994 (0.873∼1.133) 0.930 0.980 (0.852∼1.128) 0.783 1.373 (0.923∼2.041) 0.117
Current 0.922 (0.790∼1.075) 0.299 0.953 (0.801∼1.134) 0.588 0.853 (0.589∼1.236) 0.401
Exercise 1.013 (0.937∼1.094) 0.752 1.063 (0.939∼1.204) 0.334 0.979 (0.887∼1.081) 0.674
Medical history
Hypertension 1.448 (1.333∼1.572) <0.001 1.632 (1.436∼1.853) <0.001 1.311 (1.176∼1.461) <0.001
Diabetes 1.604 (1.442∼1.784) <0.001 1.630 (1.389∼1.913) <0.001 1.571 (1.361∼1.813) <0.001
Cardiovascular disease 1.667 (1.444∼1.923) <0.001 1.703 (1.392∼2.084) <0.001 1.615 (1.316∼1.981) <0.001
Cerebrovascular disease 1.828 (1.495∼2.236) <0.001 1.840 (1.388∼2.439) <0.001 1.803 (1.352∼2.404) <0.001
Malignancy 1.136 (0.939∼1.375) 0.189 1.622 (1.209∼2.177) 0.001 0.918 (0.711∼1.185) 0.511
Body mass index (kg/m2) 0.994 (0.981∼1.007) 0.372 1.033 (1.009∼1.056) 0.006 0.970 (0.954∼0.987) <0.001
BUN (mg/dL) 1.200 (1.191∼1.210) <0.001 1.210 (1.194∼1.225) <0.001 1.192 (1.180∼1.205) <0.001
Proteinuria 2.725 (2.368∼3.135) <0.001 2.838 (2.320∼3.471) <0.001 2.578 (2.119∼3.137) <0.001
Glycosuria 1.534 (1.196∼1.967) 0.001 1.291 (0.923∼1.807) 0.136 1.808 (1.249∼2.618) 0.002
Uric acid category (mg/dL)
≤2.0 1.715 (0.945∼3.111) 0.076 5.003 (1.405∼17.809) 0.013 1.377 (0.696∼2.724) 0.358
2.1∼3.0 0.426 (0.315∼0.576) <0.001 1.444 (0.766∼2.721) 0.256 0.336 (0.238∼0.475) <0.001
3.1∼4.0 0.674 (0.585∼0.777) <0.001 1.061 (0.727∼1.547) 0.760 0.632 (0.542∼0.737) <0.001
4.1∼5.0 Reference Reference Reference
5.1∼6.0 2.070 (1.848∼2.318) <0.001 1.693 (1.328∼2.160) <0.001 2.252 (1.980∼2.562) <0.001
6.1∼7.0 4.132 (3.638∼4.692) <0.001 3.240 (2.556∼4.106) <0.001 5.030 (4.287∼5.901) <0.001
>7.0 11.884 (10.395∼13.588) <0.001 10.417 (8.287∼13.094) <0.001 11.821 (9.608∼14.543 <0.001

OR: odds ratio, CI: confidence interval, BP: blood pressure, BUN: blood urea nitrogen, HDL: high density lipoprotein, eGFR: estimated glomerular filtration rate, r-GT: gamma-glutamyl transferase, AST: aspartate transaminase, ALT: alanine transaminase.

TOOLS
Similar articles