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BMC Nephrology logoLink to BMC Nephrology
. 2011 Jun 28;12:29. doi: 10.1186/1471-2369-12-29

Relationship of serum bilirubin concentration to kidney function and 24-hour urine protein in Korean adults

Ho Sik Shin 1, Yeon Soon Jung 1, Hark Rim 1,
PMCID: PMC3146921  PMID: 21708045

Abstract

Background

The relationships among serum bilirubin concentration, kidney function and proteinuria have yet to be fully elucidated, nor have these relationships been investigated in Korean adults.

Method

We retrospectively reviewed the medical records of Korean adults who were evaluated at Kosin University Gospel Hospital (Busan, Republic of Korea) during a five-year period from January 2005 to December 2009. We evaluated the relationships among serum bilirubin concentration, estimated glomerular filtration rate (eGFR) and 24-hour urinary protein excretion in a sample of 1363 Korean adults aged 18 years or older.

Results

The values of eGFR <60 mL/min/1.73 m2 and 24-hour urine albumin ≥150 mg/day were observed in 26.1% (n = 356) and 40.5% (n = 553) of subjects, respectively. Fasting glucose levels ≥126 mg/dL were observed in 44.9% (n = 612) of the total sample. After adjustment for potential confounding factors including demographic characteristics, comorbidities and other laboratory measures, total serum bilirubin was positively associated with eGFR and negatively associated with proteinuria both in the whole cohort and in a subgroup of diabetic individuals.

Conclusions

To our knowledge, this is the first hospital-based study specifically aimed at examining the relationships among serum total bilirubin concentration, 24-hour urine protein and kidney function in Korean adults. We demonstrated that serum total bilirubin concentration was negatively correlated with 24-hour urine protein and positively correlated with eGFR in Korean non-diabetic and diabetic adults.

Keywords: Proteinuria, Bilirubin, Glomerular filtration rate

Background

The prevalence of chronic kidney disease is increasing worldwide [1,2]. Reduced eGFR and abnormal proteinuria have been associated with increased risk of end stage renal disease (ESRD), cardiovascular disease and other comorbidities [3-6]. Because renal disease often progresses to ESRD, the identification of risk factors for kidney disease progression is essential.

Increased concentrations of serum bilirubin have long been used as a marker of liver dysfunction. In addition, serum bilirubin is not merely an end product of heme degradation but is also a potent antioxidant that acts via inhibitions of NADPH oxidase, a key source of oxidants in phagocytic and non-phagocytic cells, and of protein kinase C activity [7-9].

Information on the associations of serum bilirubin concentration with renal function and proteinuria is limited and controversial. Fukui et al. found that total serum bilirubin was positively associated with eGFR and negatively associated with albuminuria in a hospital-based sample of 633 Japanese type 2 diabetic patients [10], indicating that bilirubin has a potential renoprotective effect. In contrast, Targher et al. found that a higher total serum bilirubin was significantly associated with lower eGFR in both non-diabetic and diabetic individuals in a group of 2678 unselected outpatients 35 years of age or older [11].

To date, the associations of serum bilirubin concentration with kidney function and proteinuria have not been established in a Korean adult population. Therefore, we examined the associations among serum bilirubin concentration, eGFR and the degree of 24-hour urinary protein excretion in patients at Kosin University Gospel Hospital (Busan, Republic of Korea) during a five-year period from January 2005 to December 2009.

Methods

Patients

We retrospectively reviewed the medical records of Korean adults patients who had visited Kosin University Gospel Hospital (Busan, Republic of Korea) from January 2005 to December 2009 and evaluated the relationships among serum bilirubin concentration, eGFR and 24-hour urinary protein excretion in a sample of 1363 Korean adults aged 18 years or older (669 men, 694 women, aged 54.6 ± 15.1 years, range 18-93 years). The study was reviewed and approved by the Ethics Committee of Kosin University Gospel Hospital.

Clinical and biochemical assessments

Type 2 diabetes was diagnosed according to the Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus [12]. Nephropathy was graded as follows: normoproteinuria, urinary protein excretion less than 150 mg/day and macroproteinuria, greater than 150 mg/day.

As a surrogate for measuring renal function in the subjects, we estimated the GFR using a simplified form of the Modification of Renal Disease (MDRD) equation [13]. The equation is as follows:

graphic file with name 1471-2369-12-29-i1.gif

The exclusion criteria were as follows:

1) patients with malignant disease, liver cirrhosis, or hematologic disease;

2) patients with advanced renal dysfunction (serum creatinine level higher than 2.0 mg/dL);

3) patients whose serum bilirubin concentrations were greater than 1.2 mg/dL due to the high possibility of Gilbert syndrome.

4) patients with chronic hepatitis B or C

Total serum bilirubin concentrations (normal ranges: 0.2-1.0 mg/dL) were measured using an enzymatic method with bilirubin oxidase on an automatic analyzer (Hitachi 7600). Serum total cholesterol, high-density lipoprotein cholesterol, and triglyceride concentrations were assessed using standard enzymatic methods. Twenty-four-hour urine samples were collected from patients who demonstrated proteinuria in a dipstick urine test.

Statistical analysis

The results are presented as the mean ± SD. We used Student's t test to compare the means and Pearson's correlation coefficient to evaluate the relationships between parameters. The association between serum total bilirubin and eGFR and the association between serum total bilirubin and 24 hour urine protein were investigated using linear (adjusted) regression models in the whole group and in subgroups of patients stratified by diabetes status. The covariates included in adjusted regression models were age, sex, diabetes, hypertension, total cholesterol, LDL-cholesterol, HDL-cholesterol and triglyceride. The results were considered significant when the P value was less than 0.05. All statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS) version 12.0 (SPSS Inc., Chicago, IL, USA).

Results

Characteristics of the 1363 subjects enrolled in this study are shown in Table 1.

Table 1.

Clinical characteristics of subjects

Variable Mean ± s.d.
n 1,363
Age (years) 55.6 ± 14.1
Sex,%
 Males 49.1
 Females 50.9
Diabetes,% 44.9
Hypertension,% 14.0
Measurements
 Urine protein, mg/day 806 ± 2,150
 WBC, mm3 7,619 ± 3,083
 Hb, g/dL 12.2 ± 1.9
 Platelet, mm3 260,398 ± 98,162
 Protein, g/dL 6.7 ± 2.7
 Albumin, g/dL 3.8 ± 0.6
 Total cholesterol, mg/dL 204 ± 77
 LDL Cholesterol, mg/dL 115 ± 43
 HDL cholesterol, mg/dL 44 ± 15
 Triglycerides, mg/dL 158 ± 209
 AST, IU/L 28 ± 22
 ALT, IU/L 27 ± 24
 Fasting blood glucose, mg/dL 144 ± 73
 BUN, mg/dL 18.6 ± 10.4
 Creatinine, mg/dL 1.16 ± 0.64
 eGFR, mL/min/1.73 m2 75 ± 31
 Uric acid, IU/L 5.4 ± 2.0
 Sodium, mEq/L 140.6 ± 4.8
 Potassium, mEq/L 4.2 ± 0.6
 Calcium, mg/dL 9.1 ± 0.7
 Phosphorus, mg/dL 4.0 ± 3.1
 Chloride, mEq/L 102 ± 11
 total CO2, mEq/L 26.4 ± 4.9
 Total Bilirubin, mg/dL 0.75 ± 0.21
 Direct Bilirubin, mg/dL 0.30 ± 0.09

Among the 1363 adult subjects, the mean age and total bilirubin were 55.6 (± 14.1) years and 0.75 (± 0.21) mg/dL, respectively. An eGFR <60 mL/min/1.73 m2 and a 24-hour urine protein ≥150 mg/day were present in 26.1% (n = 356) and 40.5% (n = 553) of the subjects, respectively. Diabetes and hypertension were present in 44.9% (n = 612) and 14.0% (n = 191) of patients.

The clinical and biochemical characteristics of subjects stratified according to eGFR category are summarized in Table 2. Compared with patients with normal or near-normal eGFR, persons with lower eGFR were older, more likely to be male, and had greater prevalence for high serum total bilirubin concentration. A positive correlation was found between serum total bilirubin concentration and eGFR in all subjects and in diabetic patients (r = 0.128, p = 0.0001; r = 0.202, p = 0.0001) (Figure 1, 2). An inverse correlation was found between total serum bilirubin concentration and 24-hour urine albumin in all subjects and in subjects with diabetes (r = -0.228, p = 0.0001; r = -0.227, p = 0.0001) (Figure 3, 4).

Table 2.

Age-gender standardized baseline demographics and laboratory results accordings to eGFR in the entire cohort (n = 1,363)

eGFR Characteristics ≥90 mL/min/1.73 m2, n = 564 60-89 mL/min/1.73 m2, n = 443 30-59 mL/min/1.73 m2, n = 265 15-29 mL/min/1.73 m2, n = 91 p-value
Age, years 50.1 ± 13.8 57.3 ± 13.8 59.3 ± 13.7 59.4 ± 14.6 0.0001
 T1) a b, c c c
Sex,%
 Males 46 48.3 54.3 56
 Females 54 51.7 45.7 44
Diabetes,% 52.8 45.1 32.8 29.4
Hypertension,% 10.1 12.1 23.3 21.2
Measurements
 Urine protein, mg/day 572 ± 1,871 744 ± 2,366 1,231 ± 2,236 2,050 ± 3047 0.0001
 T1) a a, b b c
 WBC, mm3 7,420 ± 3,116 7,534 ± 3,112 7,940 ± 3,003 7,909 ± 2,967 0.252
 Hb, g/dL 12.5 ± 1.7 12.5 ± 1.7 11.6 ± 1.9 10.8 ± 1.8 0.0001
 T1) a a b c
 Platelet, mm3 276,222 ± 103,955 259,255 ± 92,563 250,831 ± 96,831 235,755 ± 87,964 0.002
 T1) a a, b a, b b
 Protein, g/dL 6.7 ± 3.3 6.6 ± 0.9 6.7 ± 3.8 6.3 ± 0.8 0.447
 Albumin, g/dL 3.8 ± 0.7 3.8 ± 0.6 3.6 ± 0.7 3.5 ± 0.6 0.0001
 T1) a a a, b b
 Total cholesterol, mg/dL 204 ± 93 208 ± 71 207 ± 87 205 ± 72 0.215
 LDL Cholesterol, mg/dL 126 ± 55 113 ± 44 109 ± 34 112 ± 40 0.103
 HDL cholesterol, mg/dL 46 ± 16 45 ± 16 42 ± 14 40 ± 12 0.001
 T1) a a, b b, c c
 Triglycerides, mg/dL 170 ± 360 151 ± 127 155 ± 95 180 ± 192 0.657
 AST, IU/L 29 ± 27 29 ± 20 27 ± 16 29 ± 38 0.108
 ALT, IU/L 28 ± 25 28 ± 23 24 ± 20 26 ± 47 0.197
 Fasting blood glucose, mg/dL 153 ± 81 142 ± 74 127 ± 62 127 ± 69 0.0001
 T1) a a, b b b
 BUN, mg/dL 12.5 ± 4.5 16.1 ± 5.6 24.3 ± 9.4 38.1 ± 15.5 0.0001
 T1) a a b c
 Creatinine, mg/dL 0.71 ± 0.13 0.96 ± 0.16 1.51 ± 0.33 2.86 ± 0.69 0.0001
 T1) a b c d
 Total Bilirubin, mg/dL 0.77 ± 0.22 0.76 ± 0.21 0.72 ± 0.22 0.67 ± 0.21 0.0001
 T1) a, b a, b b, c c
 Direct Bilirubin, mg/dL 0.31 ± 0.09 0.30 ± 0.09 0.30 ± 0.10 0.28 ± 0.09 0.222

1) The same letters indicate non-significant difference between groups based on Turey's multiple comparison test

Figure 1.

Figure 1

Correlation between serum total bilirubin concentration and eGFR in whole subjects (r = 0.128, p = 0.0001).

Figure 2.

Figure 2

Correlation between serum total bilirubin concentration and eGFR in DM subjects (r = 0.202, p = 0.0001).

Figure 3.

Figure 3

Correlation between serum total bilirubin concentration and 24 hour urine protein in whole subjects (r = -0.228, p = 0.0001).

Figure 4.

Figure 4

Correlation between serum total bilirubin concentration and 24 hour urine protein in DM subjects (r = -0.227, p = 0.0001).

When participants were stratified into categories based on proteinuria (Table 3), persons with higher proteinuria were hypoalbuminemic, more likely to be male, hypercholesterolemic (although level of LDL was similar) and had lower values of total bilirubin compared with those of patients with normal proteinuria.

Table 3.

Age-gender standardized baseline demographics and laboratory results according to 24 urine protein excretion in the entire cohort (n = 1,363)

24 hour urine protein (mg/day) <150 ≥ 150 P value
Characteristics n = 810 n = 553
Age, years 55.9 ± 13.9 55.9 ± 14.9 0.642
Sex,% 0.0001
 Males 44.7 55.5
 Females 55.3 44.5
Diabetes,% 47.4 41.2 0.027
Hypertension,% 8.7 21.6 0.0001
eGFR,%, mL/min/1.73 m2 0.0001
 ≥90 35.8 23.1
 60-89 44.4 31.1
 30-59 16.6 31.5
 15-29 3.2 14.3
Measurements
 WBC, mm3 7,296 ± 2,940 8,044 ± 3,216 0.0001
 Hb, g/dL 12.5 ± 1.7 11.8 ± 1.9 0.0001
 Platelet, mm3 257,821 ± 93,576 263,793 ± 103,896 0.315
 Protein, g/dL 6.8 ± 1.6 6.5 ± 3.7 0.097
 Albumin, g/dL 4.0 ± 0.4 3.5 ± 0.7 0.0001
 Total cholesterol, mg/dL 194 ± 49 219 ±103 0.0001
 LDL Cholesterol, mg/dL 115 ± 37 115 ± 49 0.952
 HDL cholesterol, mg/dL 45 ± 15 43 ± 16 0.023
 Triglycerides, mg/dL 148 ± 151 174 ± 272 0.037
 AST, IU/L 27 ± 20 29 ± 25 0.139
 ALT, IU/L 27 ± 21 27 ± 28 0.898
 BUN, mg/dL 16.3 ± 7.9 21.7 ± 12.4 0.0001
 Creatinine, mg/dL 0.99 ± 0.41 1.39 ± 0.79 0.0001
 Total Bilirubin, mg/dL 0.78 ± 0.20 0.71 ± 0.22 0.0001
 Direct Bilirubin, mg/dL 0.30 ± 0.09 0.29 ± 0.09 0.003

When participants were stratified into categories based on fasting blood glucose (Table 4), diabetic patients were hypoalbuminuric compared with non-diabetic patients. No significant differences were found with regard to serum total bilirubin concentration between participants with normal and abnormal fasting blood glucose levels.

Table 4.

Age-gender standardized baseline demographics and laboratory results according to fasting blood glucose (n = 1,363)

Fasting blood glucose, mg/dL <126 ≥ 126 P value
Characteristics
Age, years 53.9 ± 14.6 57.7 ± 13.1 0.0001
Sex,% 0.414
 Males 48.1 50.3
 Females 51.9 49.7
eGFR,%, mL/min/1.73 m2 0.0001
 ≥90 27.5 34.1
 60-89 36.3 41.9
 30-59 26.6 18.2
 15-29 9.6 5.8
Measurements
 24 hour urine protein, mg/day 913 ± 2,350 676 ± 1,870 0.038
 WBC, mm3 7,368 ± 2,942 7,965 ± 3,239 0.001
 Hb, g/dL 12.0 ± 1.8 12.3 ± 1.8 0.003
 Platelet, mm3 258,479 ± 97,902 263,037 ± 98,560 0.438
 Protein, g/dL 6.7 ± 3.2 6.6 ± 1.9 0.639
 Albumin, g/dL 3.7 ±0.7 3.8 ± 0.5 0.046
 Total cholesterol, mg/dL 207 ± 78 201 ± 75 0.211
 LDL Cholesterol, mg/dL 114 ± 47 115 ± 38 0.877
 HDL cholesterol, mg/dL 46 ± 16 42 ± 14 0.0001
 Triglycerides, mg/dL 140 ± 97 179 ± 286 0.002
 AST, IU/L 28 ± 20 28 ± 25 0.861
 ALT, IU/L 24 ± 19 30 ± 29 0.0001
 BUN, mg/dL 19.0 ± 11.0 18.1 ± 9.6 0.16
 Creatinine, mg/dL 1.24 ± 0.69 1.06 ± 0.55 0.0001
 Total Bilirubin, mg/dL 0.75 ± 0.21 0.76 ± 0.21 0.499
 Direct Bilirubin, mg/dL 0.30 ± 0.09 0.30 ± 0.08 0.705
 eGFR, mL/min/1.73 m2 71 ± 31 80 ± 30 0.0001

Discussion

To our knowledge, this is the first hospital-based study specifically aimed at examining the associations among serum total bilirubin concentration, 24-hour urine protein and kidney function in Korean adults.

We retrospectively reviewed the medical records of 1363 adults aged 18 years or older who were seen at Kosin University Gospel Hospital (Busan, Republic of Korea) in the five-year period from January 2005 to December 2009. This study demonstrated that serum total bilirubin concentration was negatively correlated with 24-hour urine protein and was positively correlated with eGFR in Korean non-diabetic and diabetic adults.

Our findings are in contrast to the results of Targher et al. [11] in their observational large hospital-based sample of 2678 adult outpatients (mean age: 55 ± 18 years; 43% male), including 210 diabetic patients. In that study, they found that serum total bilirubin was inversely associated with eGFR in both non-diabetic (r = -0.17; p < 0.0001) and diabetic patients (r = -0.14; p < 0.05). However, no information was available on albuminuria, comorbidites, alcohol consumption or other important potential confounders [11]. In this study, we could not analyzed the effects of alcohol and smoking on proteinuria, because we were unable to locate data on alcohol drinking and smoking.

The significant associations between total serum bilirubin and eGFR or albuminuria observed in diabetic individuals of our cohort were the same as those from Fukui et al. [10]. That previous study found that total serum bilirubin was positively associated with eGFR and negatively associated with albuminuria in a hospital-based sample of 633 Japanese type 2 diabetic patients (mean age: 64.4 ± 11.5 years; 52% male). However, in that study, no adjustment was made for important confounders, such as eGFR. In our study, a positive correlation was found between total serum bilirubin concentration and eGFR in all subjects as well as in diabetic patients.

Based on in vitro as well as animal studies, bilirubin is generally recognized as an important antioxidant substance. Kumar et al. demonstrated that serum bilirubin concentration is inversely correlated with a marker of oxidative stress and is positively correlated with antioxidative enzyme activities such as those of superoxide dismutase, catalase, and glutathione peroxidase [14]. These results are also supported by clinical studies focused on the protective effects of serum bilirubin concentration on atherosclerosis [15-17]. In this study, serum bilirubin concentration correlated negatively with proteinuria and positively correlated with renal function, and total cholesterol in the normal proteinuria group level was lower than that in the abnormal proteinuria group. However, we were unable to assess the antioxidant effect of serum bilirubin, because tests for an oxidative stress marker and antioxidant enzyme were not carried out.

In addition to being an antioxidant, bilirubin also has anticomplement properties that protect against inflammation [18]. Furthermore, bilirubin has been suggested to have cytoprotective properties through its influence on protein kinase C [19]. Through these mechanisms, bilirubin could protect diabetic patients from the development and progression of diabetic nephropathy [20-23]. However, in this study, the 24-hour proteinuria level in the diabetic group was lower than that in the non-diabetic group because CKD patients were included in the non-diabetic group.

In results of this study, we might think serum bilirubin concentration may be utilized as a provisional new risk factor of diabetic nephropathy that can be measured easily in the clinical laboratory and applied in medical practice.

It could be hypothesized that the bilirubin-kidney dysfunction relationship primarily reflects the association of serum bilirubin concentration with non-alcoholic fatty liver disease (NAFLD). NAFLD represents the most common cause of mild to moderate increases in serum bilirubin and other liver enzymes in Western countries [24]. Recent studies have found that NAFLD is independently associated with an increased incidence of CKD in both non-diabetic and diabetic populations [25,26].

Limitations of our study include its cross-sectional design, which allows us to identify only associations and should not yield any conclusions about causation. In addition, results of this study may not be applicable to the general population or to patients with type 2 diabetes in a primary care clinic because the data were collected from patients in an outpatient clinic of a university hospital. This study's results are not definitive because a Pearson's correlation coefficient of less than ± 0.25 is generally considered to be a weak correlation. We think prompt further research into this interesting correlation will be needed. Second, we were unable to explain the reason why both the non-diabetic and diabetic group had the same results. Third, liver ultrasonography for diagnosing NAFLD was not performed. Finally, we used eGFR instead of a directly measured GFR to assess renal function. It is known that current eGFR experiences greater inaccuracy in populations with no known CKD than in those with CKD. Nonetheless, the current eGFR technique facilitates the detection, evaluation, and management of renal disease.

To our knowledge, this is the first study to investigate the relationship between serum bilirubin concentration and 24-hour urine protein excretion in non-diabetic subjects and in patients with type 2 diabetes. Although we are unable to determine whether hypobilirubinemia has a causative effect, these findings suggest that hypobilirubinemia combined with diabetes might be associated with advanced diabetic nephropathy. Large prospective trials are needed to better assess the effects of bilirubin on diabetic nephropathy in patients with type 2 diabetes.

Conclusions

our findings suggest that increasing serum total bilirubin concentration is associated with increasing eGFR and decreasing albuminuria in Korean non-diabetic and diabetic adults.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

HSS, M.D. and HR, M.D. participated in the design of the study and performed the statistical analysis. YSJ, M.D. conceived of the study, and participated in its design and coordination. All authors read and approved the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here:

http://www.biomedcentral.com/1471-2369/12/29/prepub

Contributor Information

Ho Sik Shin, Email: danieljoseph@hanmail.net.

Yeon Soon Jung, Email: kidney@hanmail.net.

Hark Rim, Email: rimhark@hanmail.net.

Acknowledgements

In memory of Ms. Eum No-Mi, a founder of Ahnna Social Welfare Institute, Busan, Korea. (2010)

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