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Journal of Diabetes Research logoLink to Journal of Diabetes Research
. 2014 Dec 22;2014:120317. doi: 10.1155/2014/120317

T-Cell Cytokine Gene Polymorphisms and Vitamin D Pathway Gene Polymorphisms in End-Stage Renal Disease due to Type 2 Diabetes Mellitus Nephropathy: Comparisons with Health Status and Other Main Causes of End-Stage Renal Disease

Alicja E Grzegorzewska 1,*, Grzegorz Ostromecki 2, Paulina Zielińska 3, Adrianna Mostowska 4, Paweł P Jagodziński 4
PMCID: PMC4284966  PMID: 25587543

Abstract

Background. T-cell cytokine gene polymorphisms and vitamin D pathway gene polymorphisms were evaluated as possibly associated with end-stage renal disease (ESRD) resulting from type 2 diabetes mellitus (DM) nephropathy. Methods. Studies were conducted among hemodialysis (HD) patients with ESRD due to type 2 DM nephropathy, chronic glomerulonephritis, chronic infective tubulointerstitial nephritis, and hypertensive nephropathy as well as in healthy subjects. A frequency distribution of T-cell-related interleukin (IL) genes (IL18 rs360719, IL12A rs568408, IL12B rs3212227, IL4R rs1805015, IL13 rs20541, IL28B rs8099917, IL28B, and rs12979860) and vitamin D pathway genes (GC genes: rs2298849, rs7041, and rs1155563; VDR genes: rs2228570, rs1544410; and RXRA genes: rs10776909, rs10881578, and rs749759) was compared between groups. Results. No significant differences in a frequency distribution of tested polymorphisms were shown between type 2 DM nephropathy patients and controls. A difference was found in IL18 rs360719 polymorphic distribution between the former group and chronic infective tubulointerstitial nephritic patients (P trend = 0.033), which also differed in this polymorphism from controls (P trend = 0.005). Conclusion. T-cell cytokine and vitamin D pathway gene polymorphisms are not associated with ESRD due to type 2 DM nephropathy in Polish HD patients. IL18 rs360719 is probably associated with the pathogenesis of chronic infective tubulointerstitial nephritis.

1. Introduction

Diabetes mellitus (DM) is the most common cause of end-stage renal disease (ESRD) in many hemodialysis (HD) centers. In Australia and New Zealand, the incident ESRD population (1991–2005) who began renal replacement therapy (RRT) included 30.0% type 2 DM and 4.5% type 1 DM subjects [1]. In the HEMODIALYSIS (HEMO) study, the group of HD patients comprised approximately 45% of DM subjects [2].

Diabetic ESRD patients compared to nondiabetic ESRD subjects show higher both mortality rate [3] and prevalence of coronary artery disease (CAD) [4], are more prone to severe infections [5] and worse response to hepatitis B vaccination [6], and more often suffer from adynamic bone disease associated with low serum parathyroid hormone (PTH) levels [7]. In this paper we will focus on ESRD due to type 2 DM nephropathy. Together with altered glucose metabolism and insulin resistance, deficiency of vitamin D [8] and aberrant T-cell cytokine balance [9] were found to be associated with this severe complication of type 2 DM. There is a link between vitamin D and T-cell functional balance: active form of vitamin D [1,25(OH)2D] has the inhibitory effect on the T helper (Th) 17 and Th1 response [10].

Abnormalities in T-cell cytokine equilibrium [1113] and plasma vitamin D concentrations [1416] are related to cardiovascular events [13, 16] and immunononcompetence during infections [11, 14] and vaccinations [12, 15]. Serum PTH levels are dependent on serum vitamin D concentrations [17], and T cells are implicated in the mechanism of PTH action in bone [18].

Vitamin D activity may be adequately expressed if vitamin D pathway components (vitamin D binding protein, also referred to as group-specific component (GC), vitamin D receptor (VDR), and retinoid X receptors (RXRs)) are properly structured and regulated. The recent study by Zhang et al. [19] has shown that VDR BsmI polymorphism correlates with type 2 DM nephropathy and may be susceptible for early onset of this nephropathy. Among T-cell-related cytokine gene polymorphisms, promoter polymorphic variants of IL10 [20, 21] and IL6 [22] were already associated with the risk of type 2 DM nephropathy. Monocyte chemoattractant protein 1 (MCP-1) has been reported to participate in the pathogenesis of early type 2 DM nephropathy [23], but MCP1 polymorphism in the promoter region was not differentially distributed between ESRD patients with type 2 DM nephropathy and healthy controls [24, 25].

To our knowledge, there are scarce data, if any, on ESRD due to type 2 DM nephropathy showing a frequency distribution of single nucleotide polymorphisms (SNPs) of T-cell-related IL genes: IL18 rs360719, IL12A rs568408, IL12B rs3212227, IL4R rs1805015, IL13 rs20541, IL28B rs8099917, and IL28B rs12979860 as well as vitamin D pathway genes: GC genes (GC rs2298849, rs7041, and rs1155563), VDR genes (VDR rs2228570, rs1544410), and RXR α genes (RXRA rs10776909, rs10881578, and rs749759). The aim of our study was to determine the potential association between aforementioned polymorphisms of T-cell-related cytokine genes and vitamin D pathway genes and ESRD due to type 2 DM nephropathy. For comparisons, aforementioned genotype frequencies of healthy controls as well as ESRD patients with other main causes of ESRD were used. Polymorphism related associations, if exist, could contribute to explanation of susceptibility to ESRD due to type 2 DM nephropathy and phenotype differences between ESRD patients with type 2 DM nephropathy and other causes of ESRD.

2. Material and Methods

2.1. Patients and Controls

Blood samples for genotype analyses are collected since 2009 from ESRD patients (estimated glomerular filtration rate (eGFR) category G5 in accordance with KDIGO recommendations [26]). All subjects were treated with HD on enrolment. Controls were recruited from blood donors and healthy volunteers unrelated to patients. All enrolled individuals live/lived in the Greater Poland region of Poland.

Genotyping of IL18 rs360719, IL12A rs568408, IL12B rs3212227, IL4R rs1805015, and IL13 rs20541 polymorphisms was performed in 2009–2012 using currently available material. Results had been analyzed in our previous studies in the context of responsiveness to the surface antigen of hepatitis B virus (HBsAg) using data of all (not segregated) patients [2730]. For this study, we used results of controls and patients with type 2 DM nephropathy, chronic glomerulonephritis, chronic infective tubulointerstitial nephritis, and hypertensive nephropathy.

IL28B rs8099917, IL28B rs12979860, GC rs2298849, GC rs7041, GC rs1155563, VDR rs2228570, VDR rs1544410, RXRA rs10776909, RXRA rs10881578, and RXRA rs749759 polymorphisms were analyzed in winter 2013/2014 among HD patients with ESRD (n = 893) due to type 2 DM nephropathy (n = 366), chronic glomerulonephritis (n = 178), chronic infective tubulointerstitial nephritis (n = 118), and hypertensive nephropathy (n = 231) as well as healthy controls (n = 378).

DM was not diagnosed in patients having renal diseases other than type 2 DM nephropathy.

Healthy individuals and HD patients with other renal diseases as cause of ESRD served as reference groups for a frequency distribution of tested polymorphic variants. All examined subjects were of Caucasian race.

Basic clinical and laboratory data were collected on enrolment and they are updated every year.

2.2. Genotyping

Genomic DNA for genotype analysis was isolated from peripheral blood lymphocytes by salt-out extraction procedure.

Genotyping of IL18 rs360719, IL12A rs568408, IL12B rs3212227, IL4R rs1805015, and IL13 rs20541 polymorphisms was performed as previously described [2730].

IL28B rs8099917 and IL28B rs12979860 polymorphisms were genotyped using high-resolution melting curve analysis (HRM) on the LightCycler 480 system (Roche Diagnostics, Mannheim, Germany) with the use of 5x HOT FIREPol EvaGreen HRM Mix (Solis BioDyne, Tartu, Estonia). The PCR program consisted of an initial step at 95°C for 15 min to activate HOT FIREPol DNA polymerase, followed by 50 amplification cycles of denaturation at 95°C for 10 s, annealing at 61°C for 10 s, and elongation at 72°C for 15 s. Amplified DNA fragments were then subjected to HRM with 0.1°C increments in temperatures ranging from 76 to 96°C. Primers used for PCR with subsequent HRM analysis were as follows: rs8099917F 5′TTTGTCACTGTTCCTCCTTTTG3′, rs8099917R 5′AAGACATAAAAAGCCAGCTACCA3′, rs12979860F 5′CGTGCCTGTCGTGTACTGAA3′, and rs12979860R 5′AGGCTCAGGGTCAATCACAG3′.

Genotyping of the GC rs1155563, GC rs2298849, RXRA rs10881578, and RXRA rs10776909 polymorphisms was carried out by HRM on the Bio-Rad CFX96 Real Time PCR system (Bio-Rad, Hercules, CA). DNA fragments amplified with the use of specific primers were subjected to HRM with 0.1°C increments in temperatures ranging from 71 to 92°C. Genotyping of the GC rs7041, RXRA rs749759, VDR rs1544410, and VDR rs2228570 was performed using the polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP) method according to the manufacturer's instructions (Fermentas, Vilnius, Lithuania). Primer sequences and conditions for HRM and PCR-RFLP analyses are presented in Table 1.

Table 1.

HRM and RFLP conditions for the identification of polymorphisms genotyped in the vitamin D pathway related genes.

Gene symbol rs number Alleles Primers for PCR amplification (5′-3′) Annealing temp. (°C) PCR product length (bp) HRMa analysis RFLPb analysis
Melting temp. range (°C) Restriction enzyme Restriction fragment length (bp)
GC rs7041 G/T F: GGAGGTGAGTTTATGGAACAGC 66.3 493 HaeIII T = 493
R: GGCATTAAGCTGGTATGAGGTC G = 414 + 79
rs1155563 C/T F: GGTTATTCTAAGACTGTGCTCTTGC 63.0 116 71–78
R: ATGTGTTCTCACTGTTCGACTCC
rs2298849 C/T F: TCCACTGGCAAAACACATTAC 60.6 118 73–83
R: GGGACATCTGCATTTATCCTG

RXRA rs10881578 A/G F: TCTTGAGCAATGCCAGCAG 60.6 75 80–90
R: CCACAGCTCACACATCCAATC
rs10776909 C/T F: CAGCCTGTGGCCTGCTCA 60.6 95 82–92
R: AACCTCCGGCCCTTGGAG
rs749759 A/G F: ATAGGGCTTGCCTGCCTAGA 62.6 382 BstXI A = 382
R: CTCCACCATAGCCCAAGTGA G = 243 + 139

VDR rs1544410 A/G F: GGAGACACAGATAAGGAAATAC 60.6 248 FspI A (B) = 248
R: CCGCAAGAAACCTCAAATAACA G (b) = 175 + 73
rs2228570 C/T F: GCACTGACTCTGGCTCTGAC 72.5 341 FokI C (F) = 341
R: ACCCTCCTGCTCCTGTGGCT T (f) = 282 + 59

aHRM analysis: high resolution melt analysis.

bRFLP analysis: restriction fragment length polymorphism analysis.

For quality control, the genotyping analysis was blinded to the subject's case-control status. In addition, approximately 10% of the randomly chosen samples were regenotyped. Samples that failed the genotyping were excluded from further statistical analyses.

2.3. 25(OH)D Testing

Plasma 25(OH)D was determined in blindly selected 162 HD patients in the winter season of the year to avoid differences in sunlight exposure between patients who used to sunbathe and those who did not. Plasma 25(OH)D concentration was measured in HD patients who had not been treated with vitamin D or had stopped such a treatment for at least 3 weeks to obtain the so-called basic vitamin D concentrations. Under these conditions, there were no patients showing optimal plasma 25(OH)D levels (35–80 ng/mL for adults). To examine plasma 25(OH)D levels, a chemiluminescent microparticle immunoassay (CMIA) was used according to the manufacturer's instructions (Abbott Diagnostics ARCHITECT 25-OH VITAMIN D CMIA).

2.4. Statistical Methods

Results are presented as percentage for categorical variables, as mean with one standard deviation for normally distributed continuous variables or as median with range for not normally distributed continuous variables as tested by the Shapiro-Wilk test. Statistical tests used for comparison of data obtained in selected groups are indicated at P values.

Hardy-Weinberg equilibrium (HWE) was tested to compare the observed genotype frequencies to the expected ones using Chi-square test. Distributions of tested polymorphisms were consistent with HWE with three exceptions which are indicated in tables showing analysis of genotype and allele distributions. The Fisher exact probability test or Chi-square test was used to evaluate differences in genotype and allele prevalence between the examined groups. Homozygotes for the major allele were the reference group. The odds ratio (OR) with P value and 95% confidence intervals (95% CI) value were calculated. All probabilities were two-tailed. Polymorphisms were tested for association using the Chi-square test for trend (P trend). Power analysis was performed by Fisher's exact test.

Values of P < 0.05 were judged to be significant. However, associations were reported only if the following conditions were fulfilled.

  1. A genotype distribution was consistent with HWE in a tested group and a referent group.

  2. P trend was below 0.05.

  3. Odds ratio remained significant after the Bonferroni correction applied for multiple testing, if appropriate.

Aforementioned statistical calculations were performed using GraphPad InStat 3.10, 32 bit for Windows, created on July 9, 2009 (GraphPad Software, Inc., La Jolla, USA), CytelStudio version 10.0, created on January 16, 2013 (CytelStudio Software Corporation, Cambridge, USA), and Statistica version 10, 2011 (StatSoft, Inc., Tulsa, USA).

3. Results

Characteristics of the examined HD patients are presented in Tables 2 and 3. ESRD patients due to type 2 DM nephropathy compared to non-DM ESRD patients showed older age at RRT onset, shorter treatment with RRT, higher death rate on RRT, higher prevalence of CAD and myocardial infarction, lower serum PTH level, and lower frequency of parathyroidectomy and treatment with cinacalcet.

Table 2.

Characteristics of hemodialysis patients (n = 893).

Parameter Type 2 DM nephropathy Other causes of ESRD P value
Demographic data n = 366 n = 527

Male sex, n (% of all) 201 (54.9) 307 (58.3) 0.337b
Age at RRT beginning, years 62.9 ± 14.1 57.2 ± 17.2 <0.0001c
RRT duration, years 3.29 (0.06–28.0) 4.42 (0.12–28.2) <0.0001c
Death rate, cases per 100 patient-years 0.48 0.42
Death rate, cases per 100 RRT-years 7.97 4.63

Clinical data n = 332 n = 527

Coronary artery disease, n (% of all) 174 (52.4) 168 (31.9) <0.0001b
Myocardial infarction, n (% of all) 98 (29.5) 101 (19.2) 0.009b
Parathyroidectomy, n (% of all) 2 (0.60) 21 (3.98) 0.0009b
Treatment with cinacalcet hydrochloride 24 (7.2) 98 (18.6) <0.0001b

Laboratory data n = 366 n = 527

Anti-HBc positive, n (% of all) 95 (26.0) 126 (23.9) 0.528b
HBsAg positive, n (% of all anti-HBc positive) 7 (7.4) 11 (8.7) 0.807b
Anti-HCV positive, n (% of all) 26 (7.1) 57 (10.8) 0.062b
HCV RNA positive, n (% of all anti-HCV positive) 14 (53.8) 39 (68.4) 0.225b
Responders to hepatitis B vaccine, n (% of all) 202 (55.2) 315 (59.8) 0.191b
25(OH)D (ng/mL)a 13.3 ± 3.9 14.5 ± 5.6 0.182a,d
Total calcium (mg/dL) 8.83 ± 0.67 8.91 ± 0.82 0.264d
Phosphates (mg/dL) 5.03 ± 1.44 5.25 ± 1.49 0.054d
PTH (pg/mL) 296 (12.9–3,757) 463 (12.7–3,741) <0.0001c
Total alkaline phosphatase (U/L) 98.2 (25.8–1,353) 97.1 (40.5–1,684) 0.528c

25(OH)D: 25-hydroxycholecalciferol, anti-HBc: antibodies to core antigen of hepatitis B virus, anti-HCV: antibodies to hepatitis C virus, HBsAg: surface antigen of hepatitis B virus, DM: diabetes mellitus, ESRD: end-stage renal disease, HCV RNA: ribonucleic acid of hepatitis C virus, PTH: parathyroid hormone, and RRT: renal replacement therapy.

A significant difference is indicated using bold font.

a n = 66 for type 2 DM nephropathy; n = 96 for other renal diseases.

bFisher's exact test.

cMann-Whitney test.

dUnpaired t-test, Welch corrected.

Table 3.

Characteristics of hemodialysis patients grouped by a cause of ESRD.

Parameter Type 2 DM nephropathy (1) Chronic glomerulonephritis (2) Chronic tubulointerstitial nephritis (3) Hypertensive nephropathy (4) P value
Demographic data n = 366 n = 178 n = 118 n = 231

Male sex, n (% of all) 201 (54.9) 110 (61.8) 63 (53.4) 134 (58.0) 0.386b
Age at RRT beginning, years 62.9 ± 14.1 47.4 ± 17.6 59.9 ± 16.6 63.3 ± 13.6 <0.0001c
1  versus  2: <0.001c
2  versus  3: <0.001c
2  versus  4: <0.001c
RRT duration, years 3.29 (0.06–28.0) 5.73 (0.16–28.2) 4.82 (0.33–26.5) 3.82 (0.12–20.4) <0.0001c
1  versus  2: <0.001c
1  versus  3: <0.01c
2  versus  4: <0.001c
Death rate, cases per 100 patient-years 0.48 0.41 0.44 0.42
Death rate, cases per 100 dialysis-years 7.97 2.87 5.28 6.70

Clinical data n = 332 n = 178 n = 118 n = 231

Coronary artery disease, n (% of all) 174 (52.4) 43 (24.2) 29 (24.6) 96 (41.5) <0.0001b
1  versus  2: <0.0001e
1  versus  3: <0.0001e
1  versus  4: 0.013e
2  versus  4: 0.0002e
3  versus  4: 0.002e
Myocardial infarction, n (% of all) 98 (29.5) 25 (14.0) 17 (14.4) 59 (25.5) <0.0001b
1  versus  2: <0.0001e
1  versus  3: <0.0001e
1  versus  4: <0.0001e
2  versus  4: 0.005e
3  versus  4: 0.02e
PTX, n (% of all) 2 (0.60) 14 (7.9) 5 (4.2) 2 (0.87) <0.0001b
1  versus  2: <0.0001e
1  versus  3: 0.015e
2  versus  4: 0.0004e
3  versus  4: 0.046e
Treatment with cinacalcet hydrochloride 24 (7.2) 48 (27.0) 21 (17.8) 29 (12.6) <0.0001b
1  versus  2: <0.0001e
1  versus  3: 0.0008e
1  versus  4: 0.017e
2  versus  4: 0.0003e

Laboratory data n = 366 n = 178 n = 118 n = 231

Anti-HBc positive, n (% of all) 95 (26.0) 53 (29.8) 25 (21.2) 48 (20.8) 0.233b
HBsAg positive, n (% of all anti-HBc positive) 7 (7.4) 10 (18.9) 0 (0.0) 1 (2.08) 0.0007b
1  versus  2: 0.032e
2  versus  3: 0.007e
2  versus  4: 0.001e
Anti-HCV positive, n (% of all) 26 (7.1) 33 (18.5) 11 (9.3) 13 (5.6) <0.0001b
1  versus  2: 0.0004e
2  versus  3: 0.031e
2  versus  4: <0.0001e
HCV RNA positive, n (% of all anti-HCV positive) 14 (53.8) 27 (81.8) 4 (36.4) 8 (61.5) <0.0001b
1  versus  2: <0.0001e
2  versus  3: 0.0004e
2  versus  4: <0.0001e
Responders to hepatitis B vaccine, n (% of all) 202 (55.2) 107 (60.1) 70 (59.3) 138 (59.7) 0.598b
25(OH)D (ng/mL)a 13.3 ± 3.9 14.2 ± 7.3 15.7 ± 4.3 14.1 ± 3.9 0.453d
Total calcium (mg/dL) 8.83 ± 0.67 8.85 ± 0.85 9.04 ± 0.61 8.88 ± 0.87 0.239d
Phosphates (mg/dL) 5.03 ± 1.44 5.63 ± 1.59 4.92 ± 1.29 5.15 ± 1.47 0.0007d
1  versus  2: <0.001c
2  versus  3: <0.01c
2  versus  4: <0.05c
PTH (pg/mL) 296 (12.9–3,757) 632 (12.7–3,118) 426 (45.8–3,741) 364 (19.5–2,351) <0.0001c
1  versus  2: <0.001c
1  versus  3: <0.05c
1  versus  4: <0.05c
2  versus  4: <0.001c
Total ALP (U/L) 98.2 (25.8–1,353) 113 (44.5–860) 89.0 (40.5–1,684) 90.9 (41.0–1,110) 0.010c
2  versus  4: <0.05c

25(OH)D: 25-hydroxycholecalciferol, anti-HBc: antibodies to core antigen of hepatitis B virus, anti-HCV: antibodies to hepatitis C virus, HBsAg: surface antigen of hepatitis B virus, DM: diabetes mellitus, ESRD: end-stage renal disease, HCV RNA: ribonucleic acid of hepatitis C virus, PTH: parathyroid hormone, and RRT: renal replacement therapy.

a n = 66 for type 2 DM nephropathy, n = 40 for chronic glomerulonephritis, n = 13 for chronic interstitial nephritis, and n = 43 for hypertensive nephropathy.

bChi squared test.

cKruskal-Wallis test.

dANOVA test.

eFisher's exact test.

In respect of the examined parameters, type 2 DM nephropathy patients differed the most significantly from chronic glomerulonephritic subjects, the least significantly from hypertensive nephropathy patients.

There were no differences in frequency distributions of tested genotypes between type 2 DM nephropathy patients and healthy subjects (Table 4) as well as other ESRD patients analyzed together (Table 5) which could be judged as significant associations.

Table 4.

Comparison of the distribution of polymorphic variants of tested genes between ESRD patients treated with hemodialysis due to type 2 DM nephropathy and healthy subjects.

Parameter Type 2 DM nephropathy (frequency) Healthy subjects (frequency) Odds ratio (95% CI) Two-tailed P P trend
IL18 rs360719 n = 248 n = 240

TT 133 (0.54) 121 (0.50) Referent 0.233
CT 102 (0.41) 98 (0.41) 0.947 (0.654–1.372) 0.777
CC 13 (0.05) 21 (0.09) 0.563 (0.270–1.174) 0.145
CT + CC 115 (0.46) 119 (0.50) 0.879 (0.616–1.254) 0.526
MAF 128 (0.26) 140 (0.29) 0.845 (0.638–1.119) 0.268

IL12A rs568408 n = 234 n = 240

GG 173 (0.74) 171 (0.71) Referent 0.782
AG 52 (0.22) 63 (0.26) 0.816 (0.534–1.246) 0.389
AA 9 (0.04) 6 (0.03) 1.483 (0.517–4.256) 0.600
AG + AA 61 (0.26) 69 (0.29) 0.874 (0.583–1.309) 0.538
MAF 70 (0.15) 75 (0.16) 0.976 (0.684–1.393) 0.965

IL12B rs3212227 n = 247 n = 240

AA 156 (0.63) 151 (0.63) Referent 0.639
AC 84 (0.34) 77 (0.32) 1.056 (0.721–1.547) 0.846
CC 7 (0.03) 12 (0.05) 0.563 (0.217–1.473) 0.345
AC + CC 91 (0.37) 89 (0.37) 0.990 (0.685–1.430) 1.000
MAF 98 (0.20) 101 (0.21) 0.927 (0.680–1.268) 0.699

IL4R rs1805015 n = 303 n = 225

TT 205 (0.68) 162 (0.72) Referent 0.304
CT 82 (0.27) 53 (0.24) 1.223 (0.818–1.828) 0.360
CC 16 (0.05) 10 (0.04) 1.264 (0.559–2.861) 0.684
CT + CC 98 (0.32) 63 (0.28) 1.229 (0.843–1.793) 0.295
MAF 114 (0.19) 73 (0.16) 1.197 (0.866–1.653) 0.313

IL13 rs20541 n = 303 n = 230

CC 168 (0.55) 124 (0.54) Referent 0.457
CT 114 (0.38) 84 (0.36) 1.002 (0.695–1.443) 1.000
TT 21 (0.07) 22 (0.10) 0.705 (0.371–1.338) 0.324
CT + TT 135 (0.45) 106 (0.46) 0.940 (0.666–1.326) 0.726
MAF 156 (0.26) 128 (0.28) 0.899 (0.684–1.182) 0.489

IL28B rs8099917 n = 339 n = 375

TT 219 (0.65) 245 (0.65) Referent 0.504
GT 107 (0.31) 123 (0.33) 0.973 (0.709–1.336) 0.872
GG 13 (0.04) 7 (0.02) 2.078 (0.814–5.302) 0.169
GT + GG 120 (0.35) 130 (0.35) 1.033 (0.759–1.405) 0.875
MAF 133 (0.20) 137 (0.18) 1.092 (0.837–1.423) 0.560

IL28B rs12979860 n = 336 n = 372

CC 141 (0.42) 164 (0.44) Referent 0.669
CT 157 (0.47) 166 (0.45) 1.100 (0.804–1.505) 0.576
TT 38 (0.11) 42 (0.11) 1.052 (0.643–1.723) 0.900
CT + TT 195 (0.56) 208 (0.56) 1.090 (0.809–1.469) 0.595
MAF 116 (0.29) 250 (0.34) 1.049 (0.842–1.307) 0.713

GC rs2298849 n = 364a n = 375

TT 226 (0.62) 237 (0.63) Referent 0.250
CT 110 (0.30) 124 (0.33) 0.930 (0.679–1.274) 0.688
CC 28 (0.08) 14 (0.04) 2.097 (1.077–4.086) 0.035
CT + CC 138 (0.38) 138 (0.37) 1.049 (0.778–1.413) 0.762
MAF 166 (0.23) 152 (0.20) 1.162 (0.907–1.490) 0.262

GC rs7041 n = 343 n = 361

GG 112 (0.33) 116 (0.32) Referent 0.572
GT 163 (0.47) 186 (0.52) 0.908 (0.650–1.268) 0.609
TT 68 (0.20) 59 (0.16) 1.194 (0.773–1.844) 0.440
GT + TT 231 (0.67) 245 (0.68) 0.977 (0.712–1.339) 0.936
MAF 299 (0.44) 304 (0.42) 1.062 (0.860–1.312) 0.612

GC rs1155563 n = 362 n = 377

TT 180 (0.50) 189 (0.50) Referent 0.541
CT 141 (0.39) 155 (0.41) 0.955 (0.703–1.297) 0.815
CC 41 (0.11) 33 (0.09) 1.305 (0.789–2.155) 0.311
CT + CC 182 (0.50) 188 (0.50) 1.017 (0.762–1.356) 0.941
MAF 223 (0.31) 221 (0.29) 1.074 (0.859–1.341) 0.567

VDR rs2228570 n = 345 n = 371

CC 101 (0.29) 103 (0.28) Referent 0.401
CT 175 (0.51) 183 (0.49) 0.975 (0.691–1.376) 0.930
TT 69 (0.20) 85 (0.23) 0.828 (0.544–1.260) 0.394
CT + TT 244 (0.71) 268 (0.72) 0.929 (0.671–1.285) 0.679
MAF 313 (0.45) 353 (0.48) 0.915 (0.743–1.126) 0.432

VDR rs1544410 n = 359 n = 372

GG 137 (0.38) 148 (0.40) Referent 0.753
AG 165 (0.46) 165 (0.44) 1.080 (0.787–1.483) 0.686
AA 57 (0.16) 59 (0.16) 1.044 (0.678–1.607) 0.912
AG + AA 222 (0.62) 224 (0.60) 1.071 (0.795–1.442) 0.705
MAF 279 (0.39) 283 (0.38) 1.035 (0.839–1.278) 0.788

RXRA rs10776909 n = 364 n = 378

CC 233 (0.64) 250 (0.66) Referent 0.426
CT 111 (0.30) 112 (0.30) 1.063 (0.774–1.461) 0.746
TT 20 (0.05) 16 (0.04) 1.341 (0.679–2.651) 0.490
CT + TT 131 (0.36) 128 (0.34) 1.098 (0.812–1.485) 0.590
MAF 151 (0.21) 144 (0.19) 1.112 (0.862–1.435) 0.452

RXRA rs10881578 n = 365 n = 377

AA 197 (0.54) 183 (0.48) Referent 0.168
AG 134 (0.37) 154 (0.41) 0.808 (0.775–1.046) 0.185
GG 34 (0.09) 40 (0.11) 0.790 (0.479–1.301) 0.376
AG + GG 168 (0.46) 194 (0.51) 0.804 (0.603–1.073) 0.143
MAF 202 (0.28) 234 (0.31) 0.850 (0.680–1.063) 0.172

RXRA rs749759 n = 355 n = 370

GG 207 (0.58) 221 (0.60) Referent 0.850
AG 125 (0.35) 123 (0.33) 1.085 (0.794–1.216) 0.632
AA 23 (0.06) 26 (0.07) 0.944 (0.522–1.708) 0.881
AG + AA 148 (0.42) 149 (0.40) 1.061 (0.789–1.426) 0.706
MAF 171 (0.24) 175 (0.24) 1.024 (0.804–1.304) 0.894

ESRD: end-stage renal disease, DM: diabetes mellitus, and MAF: minor allele frequency.

aNot consistent with Hardy-Weinberg equilibrium.

Table 5.

Comparison of the distribution of polymorphic variants of tested genes between ESRD patients treated with hemodialysis due to type 2 DM nephropathy and the most common causes of ESRD other than type 2 DM nephropathy (chronic glomerulonephritis, chronic tubulointerstitial nephritis, and hypertensive nephritis).

Genotype Type 2 DM nephropathy (frequency) Other causes of ESRD (frequency) Odds ratio (95% CI) Two-tailed P P trend
IL18 rs360719 n = 248 n = 353

TT 133 (0.54) 186 (0.53) Referent 0.362
CT 102 (0.41) 135 (0.38) 1.057 (0.752–1.485) 0.795
CC 13 (0.05) 32 (0.09) 0.568 (0.287–1.124) 0.107
CT + CC 115 (0.46) 167 (0.47) 0.963 (0.696–1.334) 0.868
MAF 128 (0.26) 199 (0.28) 0.886 (0.684–1.149) 0.370

IL12A rs568408 n = 234 n = 337

GG 173 (0.74) 234 (0.69) Referent 0.303
AG 52 (0.22) 89 (0.26) 0.790 (0.533–1.060) 0.275
AA 9 (0.04) 14 (0.04) 0.870 (0.368–2.055) 0.831
AG + AA 61 (0.26) 103 (0.31) 0.801 (0.552–1.163) 0.260
MAF 70 (0.15) 117 (0.17) 0.837 (0.606–1.157) 0.319

IL12B rs3212227 n = 247 n = 352

AA 156 (0.63) 205 (0.58) Referent 0.176
AC 84 (0.34) 132 (0.38) 0.836 (0.593–1.068) 0.337
CC 7 (0.03) 15 (0.04) 0.613 (0.244–1.540) 0.376
AC + CC 91 (0.37) 147 (0.42) 0.814 (0.582–1.136) 0.236
MAF 98 (0.20) 162 (0.23) 0.828 (0.624–1.098) 0.215

IL4R rs1805015 n = 303 n = 436

TT 205 (0.68) 295 (0.68) Referent 0.871
CT 82 (0.27) 121 (0.28) 0.975 (0.700–2.360) 0.933
CC 16 (0.05) 20 (0.05) 1.151 (0.583–2.275) 0.728
CT + CC 98 (0.32) 141 (0.32) 1.000 (0.731–1.368) 1.000
MAF 114 (0.19) 161 (0.18) 1.023 (0.784–1.335) 0.919

IL13 rs20541 n = 303 n = 436

CC 168 (0.55) 242 (0.56) Referent 0.902
CT 114 (0.38) 166 (0.38) 0.989 (0.726–1.348) 1.000
TT 21 (0.07) 28 (0.06) 1.080 (0.594–1.967) 0.878
CT + TT 135 (0.45) 194 (0.44) 1.002 (0.746–1.346) 1.000
MAF 156 (0.26) 222 (0.25) 1.015 (0.800–1.287) 0.950

IL28B rs8099917 n = 339 n = 493

TT 219 (0.65) 317 (0.64) Referent 0.858
GT 107 (0.31) 162 (0.33) 0.956 (0.709–1.289) 0.820
GG 13 (0.04) 14 (0.03) 1.344 (0.620–2.916) 0.549
GT + GG 120 (0.35) 176 (0.36) 0.987 (0.739–1.318) 0.941
MAF 133 (0.20) 190 (0.19) 1.022 (0.799–1.309) 0.910

IL28B rs12979860 n = 336 n = 488

CC 141 (0.42) 209 (0.43) Referent 0.952
CT 157 (0.47) 221 (0.45) 1.053 (0.783–1.415) 0.763
TT 38 (0.11) 58 (0.12) 0.971 (0.612–1.541) 0.907
CT + TT 195 (0.56) 279 (0.57) 1.036 (0.782–1.373) 0.830
MAF 116 (0.29) 337 (0.35) 1.006 (0.819–1.237) 0.994

GC rs2298849 n = 364a n = 524

TT 226 (0.62) 339 (0.65) Referent 0.109
CT 110 (0.30) 165 (0.31) 1.000 (0.745–1.342) 1.000
CC 28 (0.08) 20 (0.04) 2.100 (1.155–3.819) 0.014
CT + CC 138 (0.38) 185 (0.35) 1.119 (0.848–1.477) 0.436
MAF 166 (0.23) 205 (0.20) 1.215 (0.964–1.530) 0.111

GC rs7041 n = 343 n = 506

GG 112 (0.33) 182 (0.36) Referent 0.247
GT 163 (0.47) 236 (0.47) 1.122 (0.824–1.528) 0.480
TT 68 (0.20) 88 (0.17) 1.256 (0.846–1.863) 0.267
GT + TT 231 (0.67) 324 (0.64) 1.159 (0.867–1.548) 0.340
MAF 299 (0.44) 412 (0.41) 1.125 (0.925–1.369) 0.259

GC rs1155563 n = 362 n = 527

TT 180 (0.50) 252 (0.48) Referent 0.614
CT 141 (0.39) 213 (0.40) 0.927 (0.696–1.234) 0.610
CC 41 (0.11) 62 (0.12) 0.926 (0.597–1.435) 0.740
CT + CC 182 (0.50) 275 (0.52) 0.927 (0.709–1.211) 0.585
MAF 223 (0.31) 337 (0.32) 0.947 (0.772–1.161) 0.638

VDR rs2228570 n = 345 n = 503

CC 101 (0.29) 130 (0.26) Referent 0.541
CT 175 (0.51) 275 (0.55) 0.819 (0.594–1.130) 0.249
TT 69 (0.20) 98 (0.19) 0.906 (0.606–1.356) 0.682
CT + TT 244 (0.71) 373 (0.74) 0.842 (0.620–1.143) 0.273
MAF 313 (0.45) 471 (0.47) 0.943 (0.776–1.145) 0.588

VDR rs1544410 n = 359 n = 512

GG 137 (0.38) 189 (0.37) Referent 0.598
AG 165 (0.46) 235 (0.46) 0.969 (0.720–1.303) 0.880
AA 57 (0.16) 88 (0.17) 0.894 (0.599–1.332) 0.613
AG + AA 222 (0.62) 323 (0.63) 0.948 (0.718–1.253) 0.722
MAF 279 (0.39) 411 (0.40) 0.948 (0.778–1.152) 0.626

RXRA rs10776909 n = 364 n = 526

CC 233 (0.64) 308 (0.59) Referent 0.298
CT 111 (0.30) 196 (0.37) 0.749 (0.561–0.999) 0.050
TT 20 (0.05) 22 (0.04) 1.202 (0.641–2.254) 0.629
CT + TT 131 (0.36) 218 (0.41) 0.794 (0.603–1.046) 0.108
MAF 151 (0.21) 240 (0.23) 0.883 (0.702–1.112) 0.317

RXRA rs10881578 n = 365 n = 525

AA 197 (0.54) 252 (0.48) Referent 0.134
AG 134 (0.37) 220 (0.42) 0.779 (0.586–1.035) 0.096
GG 34 (0.09) 53 (0.10) 0.821 (0.513–1.312) 0.478
AG + GG 168 (0.46) 273 (0.52) 0.787 (0.602–1.029) 0.088
MAF 202 (0.28) 326 (0.31) 0.850 (0.690–1.046) 0.139

RXRA rs749759 n = 355 n = 514

GG 207 (0.58) 265 (0.52) Referent 0.082
AG 125 (0.35) 212 (0.41) 0.755 (0.567–1.005) 0.059
AA 23 (0.06) 37 (0.07) 0.796 (0.459–1.381) 0.490
AG + AA 148 (0.42) 249 (0.48) 0.761 (0.579–1.000) 0.053
MAF 171 (0.24) 286 (0.28) 0.823 (0.661–1.025) 0.092

ESRD: end-stage renal disease, DM: diabetes mellitus, and MAF: minor allele frequency.

aNot consistent with Hardy-Weinberg equilibrium.

Comparisons of genotype and allele frequencies between type 2 DM nephropathy patients and other ESRD groups revealed associations only with chronic infective tubulointerstitial nephritic patients in respect of IL18 rs360719 (Table 6, no significant results are shown). Frequency of IL18 rs360719 allele C carriers was higher in type 2 DM nephropathy patients than in those with chronic infective tubulointerstitial nephritis. The latter group showed lower frequency of IL18 rs360719 allele C carriers compared to healthy controls (Table 6).

Table 6.

Selected comparisons of the polymorphic variants distribution of tested genes between type 2 DM nephropathy patients, chronic infective tubulointerstitial nephritic patients, and healthy subjects.

Genotype Genotype frequencies Odds ratio (95% CI) Two-tailed P P trend
Type 2 DM nephropathy versus chronic infective tubulointerstitial nephritis
IL18 rs360719 n = 248 n = 77

TT 133 (0.54) 54 (0.70) Referent 0.033
CT 102 (0.41) 19 (0.25) 2.180 (1.217–3.905) 0.009a
CC 13 (0.05) 4 (0.05) 1.320 (0.412–4.228) 0.783
CT + CC 115 (0.46) 23 (0.30) 2.030 (1.173–3.512) 0.012a
MAF 128 (0.26) 27 (0.18) 1.636 (1.031–2.596) 0.046

Chronic infective tubulointerstitial nephritis versus healthy controls
IL18 rs360719 n = 77 n = 240

TT 54 (0.70) 121 (0.50) Referent 0.005
CT 19 (0.25) 98 (0.41) 0.434 (0.242–0.781) 0.006a
CC 4 (0.05) 21 (0.09) 0.427 (0.140–1.303) 0.160
CT + CC 23 (0.30) 119 (0.50) 0.433 (0.250–0.750) 0.004a
MAF 27 (0.18) 140 (0.29) 0.516 (0.326–0.818) 0.006

DM: diabetes mellitus; MAF: minor allele frequency.

Significant differences are indicated using bold font.

aSignificant after the Bonferroni correction (P < 0.017).

Type 2 DM nephropathy patients with diagnosed CAD differed in tested genotype frequencies neither from type 2 DM nephropathy subjects without CAD (Table 7) nor from healthy controls (Table 8).

Table 7.

Comparison of the distribution of polymorphic variants of tested genes between ESRD patients treated with hemodialysis due to type 2 DM nephropathy grouped by diagnosis of CAD.

Parameter Type 2 DM nephropathy with CAD (frequency) Type 2 DM nephropathy without CAD (frequency) Odds ratio (95% CI) Two-tailed P P trend
IL18 rs360719 n = 124 n = 109

TT 68 (0.55) 53 (0.49) Referent 0.269
CT 51 (0.41) 49 (0.45) 1.128 (0.725–1.754) 0.653
CC 5 (0.04) 7 (0.06) 0.628 (0.194–2.036) 0.557
CT + CC 56 (0.45) 56 (0.51) 0.879 (0.560–1.380) 0.645
MAF 61 (0.25) 63 (0.29) 0.803 (0.532–1.211) 0.345

IL12A rs568408 n = 117 n = 102

GG 83 (0.71) 77 (0.63) Referent 0.361
AG 28 (0.24) 22 (0.22) 1.181 (0.623–2.236) 0.630
AA 6 (0.05) 3 (0.03) 1.855 (0.448–7.678) 0.502
AG + AA 34 (0.29) 25 (0.25) 1.262 (0.691–2.304) 0.542
MAF 40 (0.17) 28 (0.14) 1.311 (0.776–2.214) 0.378

IL12B rs3212227 n = 124 n = 109

AA 78 (0.63) 69 (0.63) Referent 0.906
AC 43 (0.35) 36 (0.33) 1.057 (0.611–1.829) 0.889
CC 3 (0.02) 4 (0.04) 0.664 (0.143–3.069) 0.708
AC + CC 46 (0.37) 40 (0.37) 1.017 (0.597–1.734) 1.000
MAF 49 (0.20) 44 (0.20) 0.974 (0.618–1.535) 0.909

IL4R rs1805015 n = 144 n = 127

TT 95 (0.66) 86 (0.68) Referent 0.947
CT 42 (0.29) 32 (0.25) 1.188 (0.689–2.048) 0.581
CC 7 (0.05) 9 (0.07) 0.704 (0.251–1.972) 0.605
CT + CC 49 (0.34) 41 (0.32) 1.082 (0.652–1.797) 0.797
MAF 56 (0.19) 50 (0.20) 0.985 (0.644–1.504) 0.944

IL13 rs20541 n = 144 n = 127

CC 80 (0.56) 71 (0.56) Referent 0.867
CT 55 (0.38) 46 (0.36) 1.061 (0.640–1.759) 0.898
TT 9 (0.06) 10 (0.08) 0.799 (0.307–2.077) 0.808
CT + TT 64 (0.44) 56 (0.44) 1.014 (0.627–1.640) 1.000
MAF 73 (0.25) 92 (0.26) 0.967 (0.657–1.423) 0.944

IL28B rs8099917 n = 163 n = 145

TT 105 (0.64) 97 (0.67) Referent 0.752
GT 52 (0.32) 42 (0.29) 1.144 (0.700–1.870) 0.618
GG 6 (0.04) 6 (0.04) 0.924 (0.288–2.961) 1.000
GT + GG 58 (0.36) 48 (0.33) 1.116 (0.697–1.189) 0.719
MAF 64 (0.20) 54 (0.19) 1.068 (0.714–1.597) 0.829

IL28B rs12979860 n = 163 n = 142

CC 69 (0.42) 66 (0.46) Referent 0.352
CT 73 (0.45) 62 (0.44) 1.126 (0.698–1.816) 0.715
TT 21 (0.13) 14 (0.10) 1.435 (0.674–3.055) 0.448
CT + TT 94 (0.58) 76 (0.54) 1.183 (0.752–1.861) 0.490
MAF 115 (0.35) 90 (0.32) 1.175 (0.838–1.647) 0.396

GC rs2298849 n = 172 n = 158a

TT 99 (0.58) 106 (0.67) Referent 0.173
CT 60 (0.35) 40 (0.25) 1.606 (0.989–2.608) 0.067
CC 13 (0.07) 12 (0.08) 1.160 (0.505–2.663) 0.833
CT + CC 73 (0.42) 52 (0.33) 1.503 (0.959–2.355) 0.088
MAF 166 (0.25) 64 (0.20) 1.313 (0.909–1.895) 0.174

GC rs7041 n = 161 n = 151

GG 57 (0.35) 46 (0.30) Referent 0.844
GT 69 (0.43) 82 (0.54) 1.327 (0.825–2.134) 0.277
TT 35 (0.22) 23 (0.15) 1.629 (0.900–2.949) 0.136
GT + TT 104 (0.65) 105 (0.70) 1.061 (0.721–1.559) 0.769
MAF 139 (0.43) 128 (0.42) 1.025 (0.746–1.409) 0.943

GC rs1155563 n = 172 n = 157

TT 82 (0.48) 79 (0.50) Referent 0.645
CT 70 (0.41) 61 (0.39) 1.106 (0.697–1.755) 0.724
CC 20 (0.12) 17 (0.11) 1.133 (0.554–2.321) 0.856
CT + CC 90 (0.52) 78 (0.50) 1.112 (0.721–1.714) 0.660
MAF 110 (0.32) 95 (0.30) 1.084 (0.779–1.508) 0.695

VDR rs2228570 n = 162 n = 152

CC 43 (0.27) 44 (0.29) Referent 0.316
CT 93 (0.57) 68 (0.45) 1.400 (0.829–2.363) 0.230
TT 26 (0.16) 40 (0.26) 0.665 (0.348–1.272) 0.252
CT + TT 119 (0.73) 108 (0.71) 1.128 (0.688–1.849) 0.705
MAF 145 (0.45) 148 (0.49) 0.854 (0.624–1.169) 0.365

VDR rs1544410 n = 170 n = 155

GG 65 (0.38) 61 (0.39) Referent 0.772
AG 79 (0.46) 72 (0.46) 1.030 (0.641–1.653) 0.905
AA 26 (0.15) 22 (0.14) 1.109 (0.569–2.160) 0.865
AG + AA 105 (0.62) 94 (0.61) 1.048 (0.671–1.639) 0.909
MAF 131 (0.39) 116 (0.37) 1.048 (0.763–1.440) 0.833

RXRA rs10776909 n = 172 n = 158

CC 112 (0.65) 104 (0.66) Referent 0.621
CT 48 (0.28) 47 (0.30) 0.948 (0.585–1.537) 0.902
TT 12 (0.07) 7 (0.04) 1.592 (0.604–4.198) 0.473
CT + TT 60 (0.35) 54 (0.34) 1.032 (0.655–1.625) 0.908
MAF 72 (0.21) 61 (0.19) 1.107 (0.756–1.621) 0.672

RXRA rs10881578 n = 173 n = 158

AA 89 (0.51) 92 (0.58) Referent 0.192
AG 65 (0.38) 53 (0.34) 1.268 (0.796–2.019) 0.345
GG 19 (0.11) 13 (0.08) 1.511 (0.704–3.241) 0.340
AG + GG 84 (0.49) 66 (0.42) 1.316 (0.852–2.032) 0.226
MAF 103 (0.30) 79 (0.25) 1.272 (0.902–1.793) 0.199

RXRA rs749759 n = 169 n = 153

GG 100 (0.59) 89 (0.58) Referent 0.812
AG 59 (0.35) 54 (0.35) 0.972 (0.610–1.551) 1.000
AA 10 (0.06) 10 (0.07) 0.890 (0.354–2.238) 0.818
AG + AA 69 (0.41) 64 (0.42) 0.960 (0.615–1.496) 0.910
MAF 79 (0.23) 74 (0.24) 0.956 (0.665–1.375) 0.882

CAD: coronary artery disease, ESRD: end-stage renal disease, DM: diabetes mellitus, and MAF: minor allele frequency.

aNot consistent with Hardy-Weinberg equilibrium.

Table 8.

Comparison of the distribution of polymorphic variants of tested genes between type 2 DM nephropathy patients with diagnosis of CAD and healthy controls.

Parameter Type 2 DM nephropathy with CAD (frequency) Healthy controls (frequency) Odds ratio (95% CI) Two-tailed P P trend
IL18 rs360719 n = 124 n = 240

TT 68 (0.55) 121 (0.50) Referent 0.186
CT 51 (0.41) 98 (0.41) 0.926 (0.590–1.453) 0.819
CC 5 (0.04) 21 (0.09) 0.424 (0.153–1.174) 0.122
CT + CC 56 (0.45) 119 (0.50) 0.837 (0.542–1.294) 0.440
MAF 61 (0.25) 140 (0.29) 0.792 (0.558–1.124) 0.223

IL12A rs568408 n = 117 n = 240

GG 83 (0.71) 171 (0.71) Referent 0.626
AG 28 (0.24) 63 (0.26) 0.916 (0.546–1.535) 0.794
AA 6 (0.05) 6 (0.03) 2.060 (0.645–6.583) 0.348
AG + AA 34 (0.29) 69 (0.29) 1.015 (0.624–1.653) 1.000
MAF 40 (0.17) 75 (0.16) 1.113 (0.731–1.695) 0.695

IL12B rs3212227 n = 124 n = 240

AA 78 (0.63) 151 (0.63) Referent 0.475
AC 43 (0.35) 77 (0.32) 1.081 (0.681–1.717) 0.813
CC 3 (0.02) 12 (0.05) 0.484 (0.133–1.766) 0.397
AC + CC 46 (0.37) 89 (0.37) 1.001 (0.639–1.567) 1.000
MAF 49 (0.20) 101 (0.21) 0.924 (0.631–1.354) 0.757

IL4R rs1805015 n = 144 n = 225

TT 95 (0.66) 162 (0.72) Referent 0.285
CT 42 (0.29) 53 (0.24) 1.351 (0.838–2.179) 0.221
CC 7 (0.05) 10 (0.04) 1.194 (0.440–3.240) 0.798
CT + CC 49 (0.34) 63 (0.28) 1.326 (0.845–2.083) 0.246
MAF 56 (0.19) 73 (0.16) 1.247 (0.848–1.832) 0.305

IL13 rs20541 n = 144 n = 230

CC 80 (0.56) 124 (0.54) Referent 0.469
CT 55 (0.38) 84 (0.36) 1.015 (0.653–1.578) 1.000
TT 9 (0.06) 22 (0.10) 0.634 (0.278–1.447) 0.324
CT + TT 64 (0.44) 106 (0.46) 0.936 (0.616–1.422) 0.831
MAF 73 (0.25) 128 (0.28) 0.881 (0.630–1.231) 0.510

IL28B rs8099917 n = 163 n = 375

TT 105 (0.64) 245 (0.65) Referent 0.584
GT 52 (0.32) 123 (0.33) 0.986 (0.663–1.467) 1.000
GG 6 (0.04) 7 (0.02) 2.000 (0.656–6.094) 0.229
GT + GG 58 (0.36) 130 (0.35) 1.041 (0.709–1.530) 0.845
MAF 64 (0.20) 137 (0.18) 1.093 (0.786–1.521) 0.658

IL28B rs12979860 n = 163 n = 372

CC 69 (0.42) 164 (0.44) Referent 0.281
CT 73 (0.45) 166 (0.45) 1.045 (0.705–1.549) 0.841
TT 21 (0.13) 42 (0.11) 1.188 (0.656–2.154) 0.644
CT + TT 94 (0.58) 208 (0.56) 1.074 (0.740–1.558) 0.776
MAF 115 (0.35) 250 (0.34) 1.077 (0.819–1.416) 0.644

GC rs2298849 n = 172 n = 375

TT 99 (0.58) 237 (0.63) Referent 0.080
CT 60 (0.35) 124 (0.33) 1.158 (0.786–1.706) 0.486
CC 13 (0.07) 14 (0.04) 2.223 (1.008–4.901) 0.052
CT + CC 73 (0.42) 138 (0.37) 1.266 (0.876–1.830) 0.220
MAF 166 (0.25) 152 (0.20) 1.311 (0.969–1.774) 0.092

GC rs7041 n = 161 n = 361

GG 57 (0.35) 116 (0.32) Referent 0.748
GT 69 (0.43) 186 (0.52) 0.755 (0.496–1.150) 0.196
TT 35 (0.22) 59 (0.16) 1.207 (0.714–2.040) 0.502
GT + TT 104 (0.65) 245 (0.68) 0.864 (0.584–1.278) 0.482
MAF 139 (0.43) 304 (0.42) 1.044 (0.801–1.362) 0.800

GC rs1155563 n = 172 n = 377

TT 82 (0.48) 189 (0.50) Referent 0.378
CT 70 (0.41) 155 (0.41) 1.041 (0.710–1.527) 0.845
CC 20 (0.12) 33 (0.09) 1.397 (0.757–2.578) 0.332
CT + CC 90 (0.52) 188 (0.50) 1.103 (0.769–1.583) 0.646
MAF 110 (0.32) 221 (0.29) 1.134 (0.861–1.494) 0.411

VDR rs2228570 n = 162 n = 371

CC 43 (0.27) 103 (0.28) Referent 0.386
CT 93 (0.57) 183 (0.49) 1.217 (0.788–1.880) 0.384
TT 26 (0.16) 85 (0.23) 0.733 (0.416–1.290) 0.321
CT + TT 119 (0.73) 268 (0.72) 1.064 (0.702–1.613) 0.833
MAF 145 (0.45) 353 (0.48) 0.893 (0.687–1.160) 0.434

VDR rs1544410 n = 170 n = 372

GG 65 (0.38) 148 (0.40) Referent 0.880
AG 79 (0.46) 165 (0.44) 1.090 (0.734–1.620) 0.687
AA 26 (0.15) 59 (0.16) 1.003 (0.581–1.732) 1.000
AG + AA 105 (0.62) 224 (0.60) 1.067 (0.735–1.549) 0.776
MAF 131 (0.39) 283 (0.38) 1.021 (0.784–1.329) 0.931

RXRA rs10776909 n = 172 n = 378

CC 112 (0.65) 250 (0.66) Referent 0.483
CT 48 (0.28) 112 (0.30) 0.957 (0.638–1.434) 0.838
TT 12 (0.07) 16 (0.04) 1.674 (0.767–3.656) 0.209
CT + TT 60 (0.35) 128 (0.34) 1.046 (0.716–1.529) 0.846
MAF 72 (0.21) 144 (0.19) 1.125 (0.819–1.545) 0.518

RXRA rs10881578 n = 173 n = 377

AA 89 (0.51) 183 (0.48) Referent 0.682
AG 65 (0.38) 154 (0.41) 0.868 (0.591–1.275) 0.494
GG 19 (0.11) 40 (0.11) 0.977 (0.535–1.783) 1.000
AG + GG 84 (0.49) 194 (0.51) 0.890 (0.621–1.276) 0.582
MAF 103 (0.30) 234 (0.31) 0.942 (0.714–1.243) 0.725

RXRA rs749759 n = 169 n = 370

GG 100 (0.59) 221 (0.60) Referent 0.924
AG 59 (0.35) 123 (0.33) 1.060 (0.718–1.566) 0.842
AA 10 (0.06) 26 (0.07) 0.850 (0.395–1.830) 0.710
AG + AA 69 (0.41) 149 (0.40) 1.023 (0.707–1.482) 0.925
MAF 79 (0.23) 175 (0.24) 0.985 (0.727–1.334) 0.983

CAD: coronary artery disease, DM: diabetes mellitus, and MAF: minor allele frequency.

4. Discussion

Genetic studies involving DM nephropathy and related complications are not consistent in many aspects [3134]. Some polymorphisms tested in this study were reported as being associated with type 1 DM (IL12B rs3212227 [35], IL4R [36, 37], IL13 [37], VDR rs1544410 [38, 39], and VDR rs2228570 [38]), type 2 DM susceptibility (VDR rs2228570 [40], VDR rs1544410 [41]), and phenotype of type 2 DM (VDR rs2228570 [42], VDR rs1544410 [41, 43]). VDR rs2228570 and IL4 polymorphisms were also related to the risk of chronic kidney disease [44, 45]. On the other hand, there are also data indicating no major effect of IL12B on type 1 DM susceptibility in the entire study group [46], no association of IL4R with type 1 DM [47], no evident causal relationship between vitamin D pathway genes and type 2 DM, myocardial infarction or mortality [48], similar distribution of genotypes, allele and haplotypes of VDR rs2228570 and VDR rs731236 between type 2 DM patients and controls [49], no contribution of VDR rs1544410 to type 1 DM susceptibility [50], and no association of VDR rs1544410 with chronic kidney disease susceptibility [51].

In this study we were not able to show significant differences in the frequency distribution of tested polymorphic variants of T-cell-related cytokine genes or vitamin D pathway genes between HD patients with ESRD due to type 2 DM nephropathy and controls as well as HD patients with other causes of ESRD analyzed together. This lack of association was present although the examined type 2 DM nephropathy patients showed clinical complications more frequently than HD patients with other renal diseases: higher dialysis related mortality rate [3], higher prevalence of CAD including myocardial infarction [4], lower serum PTH, and lower frequency of parathyroidectomy and treatment with cinacalcet, all of them predictive for higher tendency to adynamic bone disease [7]. Type 2 DM nephropathy patients with or without diagnosis of CAD also did not differ in tested genotype distributions.

Development of ESRD substantially ameliorates interpatient clinical variability related to underlying renal impairment and exposes uremia-related signs and symptoms. Comparisons of type 2 DM nephropathy patients in respect of tested genotype frequencies with subjects showing other common causes of ESRD revealed that the former group has a higher IL18 rs360719 minor allele frequency than chronic infective tubulointerstitial nephritic group. In this case, lower IL18 rs360719 minor allele frequency in tubulointerstitial nephritic patients was observed also when their results were compared to those of healthy subjects. Sánchez et al. [52] have found a significant increase in the relative expression of IL-18 mRNA in individuals carrying the rs360719 minor allele. IL-18 is IFN-γ inducing factor. Infective tubulointerstitial nephritic patients are known to have diminished ability of blood leukocytes to produce IFN-γ [53]. Our study indicates that this may be related to lower frequency of IL18 rs360719 minor allele in this group compared to controls and type 2 DM nephropathy patients. In type 2 DM patients with overt nephropathy, positive correlations between plasma IFN-γ, proteinuria, and eGFR were found [54].

Due to limited financial support, we did not perform any functional studies regarding T-cell-related interleukin and vitamin D pathway genes, especially that multiple influences independent or dependent on genetic profile need to be taken into account in such studies conducted in the uremic milieu. Although the examined patients showing ESRD due to type 2 DM nephropathy were well-defined group, they obviously were not consistent in HLA DRB1 alleles. The latter could be important in modulating susceptibility to advanced type 2 DM nephropathy and related complications, like it was shown for type 1 DM [55] or type 2 DM [41], regardless of their complications.

5. Summary

Distributions of tested T-cell cytokine gene polymorphisms or vitamin D pathway gene polymorphisms are not significantly different among patients with ESRD due to type 2 DM nephropathy and healthy individuals. Subjects with ESRD due to type 2 DM nephropathy differ in clinical manifestation from patients with other nephropathies leading to dialysis dependency, but differences in tested genotype distributions were found only in IL18 rs360719 compared with chronic tubulointerstitial nephritic patients. This difference probably arose from the fact that pathology of chronic infective tubulointerstitial nephritis might have been associated with this specific polymorphism.

6. Conclusions

In Polish HD patients, T-cell cytokine gene polymorphisms and vitamin D pathway gene polymorphisms are not associated with ESRD due to type 2 DM nephropathy. IL18 polymorphism is worthy to be further investigated in chronic infective tubulointerstitial nephritic patients as being possibly associated with this disease.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

References

  • 1.Villar E., Sean H. C., McDonald S. P. Incidences, treatments, outcomes, and sex effect on survival in patients with end-stage renal disease by diabetes status in Australia and New Zealand (1991–2005) Diabetes Care. 2007;30(12):3070–3076. doi: 10.2337/dc07-0895. [DOI] [PubMed] [Google Scholar]
  • 2.Sattar A., Argyropoulos C., Weissfeld L., Younas N., Fried L., Kellum J. A., Unruh M. All-cause and cause-specific mortality associated with diabetes in prevalent hemodialysis patients. BMC Nephrology. 2012;13, article 130 doi: 10.1186/1471-2369-13-130. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Chantrel F., Enache I., Bouiller M., Kolb I., Kunz K., Petitjean P., Moulin B., Hannedouche T. Abysmal prognosis of patients with type 2 diabetes entering dialysis. Nephrology Dialysis Transplantation. 1999;14(1):129–136. doi: 10.1093/ndt/14.1.129. [DOI] [PubMed] [Google Scholar]
  • 4.Al-Thani H., Shabana A., Hussein A., et al. Cardiovascular complications in diabetic patients undergoing regular hemodialysis: a 5-year observational study. Angiology. 2014 doi: 10.1177/0003319714523672. [DOI] [PubMed] [Google Scholar]
  • 5.Sarnak M. J., Jaber B. L. Mortality caused by sepsis in patients with end-stage renal disease compared with the general population. Kidney International. 2000;58(4):1758–1764. doi: 10.1046/j.1523-1755.2000.00337.x. [DOI] [PubMed] [Google Scholar]
  • 6.Alavian S.-M., Tabatabaei S. V. The effect of diabetes mellitus on immunological response to hepatitis B virus vaccine in individuals with chronic kidney disease: a meta-analysis of current literature. Vaccine. 2010;28(22):3773–3777. doi: 10.1016/j.vaccine.2010.03.038. [DOI] [PubMed] [Google Scholar]
  • 7.Zayour D., Daouk M., Medawar W., Salamoun M., El-Hajj Fuleihan G. Predictors of bone mineral density in patients on hemodialysis. Transplantation Proceedings. 2004;36(5):1297–1301. doi: 10.1016/j.transproceed.2004.05.069. [DOI] [PubMed] [Google Scholar]
  • 8.Li D. M., Zhang Y., Ding B., et al. The association between vitamin D deficiency and diabetic nephropathy in type 2 diabetic patients. Zhonghua Nei Ke Za Zhi. 2013;52(11):970–974. [PubMed] [Google Scholar]
  • 9.Wu C.-C., Sytwu H.-K., Lu K.-C., Lin Y.-F. Role of T cells in type 2 diabetic nephropathy. Experimental Diabetes Research. 2011;2011 doi: 10.1155/2011/514738.514738 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Tian Y., Wang C., Ye Z., Xiao X., Kijlstra A., Yang P. Effect of 1,25-Dihydroxyvitamin D3 on Th17 and Th1 response in patients with Behçet's disease. Investigative Ophthalmology and Visual Science. 2012;53(10):6434–6441. doi: 10.1167/iovs.12-10398. [DOI] [PubMed] [Google Scholar]
  • 11.Stachowski J. Hepatitis C virus infection in renal diseases: state of knowledge, therapeutic problems and perspectives. Polski Merkuriusz Lekarski. 2000;8(46):303–306. [PubMed] [Google Scholar]
  • 12.Livingston B. D., Alexander J., Crimi C., Oseroff C., Celis E., Daly K., Guidotti L. G., Chisari F. V., Fikes J., Chesnut R. W., Sette A. Altered helper T lymphocyte function associated with chronic hepatitis B virus infection and its role in response to therapeutic vaccination in humans. Journal of Immunology. 1999;162(5):3088–3095. [PubMed] [Google Scholar]
  • 13.Zhang J., Hua G., Zhang X., Tong R., Du X., Li Z. Regulatory T cells/T-helper cell 17 functional imbalance in uraemic patients on maintenance haemodialysis: a pivotal link between microinflammation and adverse cardiovascular events. Nephrology. 2010;15(1):33–41. doi: 10.1111/j.1440-1797.2009.01172.x. [DOI] [PubMed] [Google Scholar]
  • 14.Borella E., Nesher G., Israeli E., Shoenfeld Y. Vitamin D: a new anti-infective agent? Annals of the New York Academy of Sciences. 2014;1317(1):76–83. doi: 10.1111/nyas.12321. [DOI] [PubMed] [Google Scholar]
  • 15.Zitt E., Sprenger-Mähr H., Knoll F., Neyer U., Lhotta K. Vitamin D deficiency is associated with poor response to active hepatitis B immunisation in patients with chronic kidney disease. Vaccine. 2012;30(5):931–935. doi: 10.1016/j.vaccine.2011.11.086. [DOI] [PubMed] [Google Scholar]
  • 16.Shoji T., Nishizawa Y. Vitamin D and survival of hemodialysis patients. Clinical calcium. 2004;14(9):64–68. [PubMed] [Google Scholar]
  • 17.Steingrimsdottir L., Gunnarsson O., Indridason O. S., Franzson L., Sigurdsson G. Relationship between serum parathyroid hormone levels, vitamin D sufficiency, and calcium intake. The Journal of the American Medical Association. 2005;294(18):2336–2341. doi: 10.1001/jama.294.18.2336. [DOI] [PubMed] [Google Scholar]
  • 18.Pacifici R. Role of T cells in the modulation of PTH action: physiological and clinical significance. Endocrine. 2012;44(3):576–582. doi: 10.1007/s12020-013-9960-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Zhang H., Wang J., Yi B., Zhao Y., Liu Y., Zhang K., Cai X., Sun J., Huang L., Liao Q. BsmI polymorphisms in vitamin D receptor gene are associated with diabetic nephropathy in type 2 diabetes in the Han Chinese population. Gene. 2012;495(2):183–188. doi: 10.1016/j.gene.2011.12.049. [DOI] [PubMed] [Google Scholar]
  • 20.Mtiraoui N., Ezzidi I., Kacem M., Mohamed M. B. H., Chaieb M., Jilani A. B. H., Mahjoub T., Almawi W. Y. Predictive value of interleukin-10 promoter genotypes and haplotypes in determining the susceptibility to nephropathy in type 2 diabetes patients. Diabetes/Metabolism Research and Reviews. 2009;25(1):57–63. doi: 10.1002/dmrr.892. [DOI] [PubMed] [Google Scholar]
  • 21.Ezzidi I., Mtiraoui N., Kacem M., Mallat S. G., Mohamed M. B. H., Chaieb M., Mahjoub T., Almawi W. Y. Interleukin-10-592C/A, -819C/T and -1082A/G promoter variants affect the susceptibility to nephropathy in Tunisian type 2 diabetes (T2DM) patients. Clinical Endocrinology. 2009;70(3):401–407. doi: 10.1111/j.1365-2265.2008.03337.x. [DOI] [PubMed] [Google Scholar]
  • 22.Karadeniz M., Erdogan M., Berdeli A., Yilmaz C. Association of interleukin-6 -174 G>C promoter polymorphism with increased risk of type 2 diabetes mellitus patients with diabetic nephropathy in Turkey. Genetic Testing and Molecular Biomarkers. 2014;18(1):62–65. doi: 10.1089/gtmb.2013.0357. [DOI] [PubMed] [Google Scholar]
  • 23.Murea M., Register T. C., Divers J., et al. Relationships between serum MCP-1 and subclinical kidney disease: African American-Diabetes Heart Study. BMC Nephrology. 2012;13(1, article 148) doi: 10.1186/1471-2369-13-148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Grzegorzewska A. E., Pajzderski D., Sowińska A., Jagodziński P. P. Polymporphism of monocyte chemoattractant protein 1 (MCP1-2518 A/G) and responsiveness to hepatitis B vaccination in hemodialysis patients. Polskie Archiwum Medycyny Wewnetrznej. 2014;124(1-2):10–18. doi: 10.20452/pamw.2069. [DOI] [PubMed] [Google Scholar]
  • 25.Grzegorzewska A. E., Pajzderski D., Sowińska A., Jagodziński P. P. Monocyte chemoattractant protein-1 gene (MCP-1-2518 A/G) polymorphism and serological markers of hepatitis B virus infection in hemodialysis patients. Medical Science Monitor. 2014;20:1101–1116. doi: 10.12659/MSM.891009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Group KDIGOKCW KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney International Supplements. 2013;3:1–150. doi: 10.1038/ki.2013.243. [DOI] [PubMed] [Google Scholar]
  • 27.Grzegorzewska A. E., Wobszal P., Jagodziński P. P. Interleukin-18 promoter polymorphism and development of antibodies to surface antigen of hepatitis B virus in hemodialysis patients. Kidney and Blood Pressure Research. 2012;35(1):1–8. doi: 10.1159/000329932. [DOI] [PubMed] [Google Scholar]
  • 28.Grzegorzewska A. E., Wobszal P. M., Sowińska A., Mostowska A., Jagodziński P. P. Association of the interleukin-12 polymorphic variants with the development of antibodies to surface antigen of hepatitis B virus in hemodialysis patients in response to vaccination or infection. Molecular Biology Reports. 2013;40(12):6899–6911. doi: 10.1007/s11033-013-2809-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Grzegorzewska A. E., Wobszal P. M., Mostowska A., Jagodziński P. P. Antibodies to hepatitis B virus surface antigen and interleukin 12 and interleukin 18 gene polymorphisms in hemodialysis patients. BMC Nephrology. 2012;13(1, article 75) doi: 10.1186/1471-2369-13-75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Grzegorzewska A. E., Pajzderski D., Sowińska A., Mostowska A., Jagodziński P. P. IL4R and IL13 polymorphic variants and development of antibodies to surface antigen of hepatitis B virus in hemodialysis patients in response to HBV vaccination or infection. Vaccine. 2013;31(14):1766–1770. doi: 10.1016/j.vaccine.2013.02.023. [DOI] [PubMed] [Google Scholar]
  • 31.Rich S. S. Genetics of diabetes and its complications. Journal of the American Society of Nephrology. 2006;17(2):353–360. doi: 10.1681/ASN.2005070770. [DOI] [PubMed] [Google Scholar]
  • 32.Palmer N. D., Freedman B. I. Insights into the genetic architecture of diabetic nephropathy. Current Diabetes Reports. 2012;12(4):423–431. doi: 10.1007/s11892-012-0279-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Franceschini N., Shara N. M., Wang H., Saroja Voruganti V., Laston S., Haack K., Lee E. T., Best L. G., MacCluer J. W., Cochran B. J., Dyer T. D., Howard B. V., Cole S. A., North K. E., Umans J. G. The association of genetic variants of type 2 diabetes with kidney function. Kidney International. 2012;82(2):220–225. doi: 10.1038/ki.2012.107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Palmer N. D., McDonough C. W., Hicks P. J., Roh B. H., Wing M. R., An S. S., Hester J. M., Cooke J. N., Bostrom M. A., Rudock M. E., Talbert M. E., Lewis J. P., Ferrara A., Lu L., Ziegler J. T., Sale M. M., Divers J., Shriner D., Adeyemo A., Rotimi C. N., Ng M. C. Y., Langefeld C. D., Freedman B. I., Bowden D. W. A genome-wide association search for type 2 diabetes genes in african americans. PLoS ONE. 2012;7(1) doi: 10.1371/journal.pone.0029202.e29202 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Davoodi-Semiromi A., Yang J. J., She J.-X. IL-12p40 is associated with type 1 diabetes in Caucasian-American families. Diabetes. 2002;51(7):2334–2336. doi: 10.2337/diabetes.51.7.2334. [DOI] [PubMed] [Google Scholar]
  • 36.Mirel D. B., Valdes A. M., Lazzeroni L. C., Reynolds R. L., Erlich H. A., Noble J. A. Association of IL4R haplotypes with type 1 diabetes. Diabetes. 2002;51(11):3336–3341. doi: 10.2337/diabetes.51.11.3336. [DOI] [PubMed] [Google Scholar]
  • 37.Bugawan T. L., Mirel D. B., Valdes A. M., Panelo A., Pozzilli P., Erlich H. A. Association and interaction of the IL4R, IL4, and IL13 loci with type 1 diabetes among filipinos. The American Journal of Human Genetics. 2003;72(6):1505–1514. doi: 10.1086/375655. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Frederiksen B., Liu E., Romanos J., et al. Investigation of the vitamin D receptor gene (VDR) and its interaction with protein tyrosine phosphatase, non-receptor type 2 gene (PTPN2) on risk of islet autoimmunity and type 1 diabetes: the Diabetes Autoimmunity Study in the Young (DAISY) The Journal of Steroid Biochemistry and Molecular Biology. 2013;133(1):51–57. doi: 10.1016/j.jsbmb.2012.08.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Panierakis C., Goulielmos G., Mamoulakis D., Petraki E., Papavasiliou E., Galanakis E. Vitamin D receptor gene polymorphisms and susceptibility to type 1 diabetes in Crete, Greece. Clinical Immunology. 2009;133(2):276–281. doi: 10.1016/j.clim.2009.08.004. [DOI] [PubMed] [Google Scholar]
  • 40.Wang Q., Xi B., Reilly K. H., Liu M., Fu M. Quantitative assessment of the associations between four polymorphisms (FokI, ApaI, BsmI, TaqI) of vitamin D receptor gene and risk of diabetes mellitus. Molecular Biology Reports. 2012;39(10):9405–9414. doi: 10.1007/s11033-012-1805-7. [DOI] [PubMed] [Google Scholar]
  • 41.Al-Daghri N. M., Al-Attas O., Alokail M. S., Alkharfy K. M., Draz H. M., Agliardi C., Mohammed A. K., Guerini F. R., Clerici M. Vitamin D receptor gene polymorphisms and HLA DRB1*04 cosegregation in Saudi type 2 diabetes patients. Journal of Immunology. 2012;188(3):1325–1332. doi: 10.4049/jimmunol.1101954. [DOI] [PubMed] [Google Scholar]
  • 42.Vélayoudom-Céphise F.-L., Larifla L., Donnet J.-P., et al. Vitamin D deficiency, vitamin D receptor gene polymorphisms and cardiovascular risk factors in Caribbean patients with type 2 diabetes. Diabetes & Metabolism. 2011;37(6):540–545. doi: 10.1016/j.diabet.2011.05.005. [DOI] [PubMed] [Google Scholar]
  • 43.Ferrarezi D. A. F., Bellili-Muñoz N., Dubois-Laforgue D., Cheurfa N., Lamri A., Reis A. F., Le Feuvre C., Roussel R., Fumeron F., Timsit J., Marre M., Velho G. Allelic variations of the vitamin D receptor (VDR) gene are associated with increased risk of coronary artery disease in type 2 diabetics: the DIABHYCAR prospective study. Diabetes and Metabolism. 2013;39(3):263–270. doi: 10.1016/j.diabet.2012.11.004. [DOI] [PubMed] [Google Scholar]
  • 44.Zhou T. B., Jiang Z. P., Huang M. F., Su N. Association of vitamin D receptor Fok1 (rs2228570), TaqI (rs731236) and ApaI (rs7975232) gene polymorphism with the risk of chronic kidney disease. Journal of Receptors and Signal Transduction Research. 2014;5:1–5. doi: 10.3109/10799893.2014.926928. [DOI] [PubMed] [Google Scholar]
  • 45.Mittal R. D., Manchanda P. K. Association of interleukin (IL)-4 intron-3 and IL-6 -174 G/C gene polymorphism with susceptibility to end-stage renal disease. Immunogenetics. 2007;59(2):159–165. doi: 10.1007/s00251-006-0182-6. [DOI] [PubMed] [Google Scholar]
  • 46.Morahan G., McKinnon E., Berry J., Browning B., Julier C., Pociot F., James I. Evaluation of IL12B as a candidate type I diabetes susceptibility gene using data from the Type I Diabetes Genetics Consortium. Genes and Immunity. 2009;10, supplement 1:S64–S68. doi: 10.1038/gene.2009.94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Erlich H. A., Lohman K., MacK S. J., Valdes A. M., Julier C., Mirel D., Noble J. A., Morahan G. E., Rich S. S. Association analysis of SNPs in the IL4R locus with type i diabetes. Genes and Immunity. 2009;10(supplement 1):S33–S41. doi: 10.1038/gene.2009.89. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Jorde R., Schirmer H., Wilsgaard T., et al. Polymorphisms related to the serum 25-Hydroxyvitamin D level and risk of Myocardial infarction, diabetes, cancer and mortality. The Tromsø study. PLoS ONE. 2012;7(5) doi: 10.1371/journal.pone.0037295.e37295 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Bid H., Konwar R., Aggarwal C., Gautam S., Saxena M., Nayak V., Banerjee M. Vitamin D receptor (FokI, BsmI and TaqI) gene polymorphisms and type 2 diabetes mellitus: a North Indian study. Indian Journal of Medical Sciences. 2009;63(5):187–194. doi: 10.4103/0019-5359.53164. [DOI] [PubMed] [Google Scholar]
  • 50.Lemos M. C., Fagulha A., Coutinho E., Gomes L., Bastos M., Barros L., Carrilho F., Geraldes E., Regateiro F. J., Carvalheiro M. Lack of association of vitamin D receptor gene polymorphisms with susceptibility to type 1 diabetes mellitus in the Portuguese population. Human Immunology. 2008;69(2):134–138. doi: 10.1016/j.humimm.2008.01.008. [DOI] [PubMed] [Google Scholar]
  • 51.Zhou T. B., Jiang Z. P., Huang M. F. Association of vitamin D receptor BsmI ( rs1544410 ) gene polymorphism with the chronic kidney disease susceptibility. Journal of Receptors and Signal Transduction Research. 2014 doi: 10.3109/10799893.2014.926927. [DOI] [PubMed] [Google Scholar]
  • 52.Sánchez E., Palomino-Morales R. J., Ortego-Centeno N., Jiménez-Alonso J., González-Gay M. A., López-Nevot M. A., Sánchez-Román J., de Ramón E., González-Escribano M. F., Pons-Estel B. A., D'Alfonso S., Sebastiani G. D., Alarcón-Riquelme M. E., Martín J., Scherbarth H. R., Marino P. C., Motta E. L., Gamron S., Drenkard C., Menso E., Allievi A., Tate G. A., Presas J. L., Palatnik S. A., Abdala M., Bearzotti M., Alvarellos A., Caeiro F., Bertoli A., Paira S., Roverano S., Graf C. E., Bertero E., Caprarulo C., Buchanan G., Guillerón C., Grimaudo S., Manni J., Catoggio L. J., Soriano E. R., Santos C. D., Prigione C., Ramos F. A., Navarro S. M., Berbotto G. A., Jorfen M., Romero E. J., Garcia M. A., Marcos J. C., Marcos A. I., Perandones C. E., Eimon A., Battagliotti C. G., Barizzone N., Galeazzi M., Danieli M. G., Migliaresi S., Bozzolo E. Identification of a new putative functional IL18 gene variant through an association study in systemic lupus erythematosus. Human Molecular Genetics. 2009;18(19):3739–3748. doi: 10.1093/hmg/ddp301. [DOI] [PubMed] [Google Scholar]
  • 53.Kudriashova I. P., Ospel'nikova T. P., Ershov F. I. Cycloferon administration in chronic pyelonephritis: changes in interferon status. Terapevticheskiĭ Arkhiv. 2011;83(6):33–35. (Rus). [PubMed] [Google Scholar]
  • 54.Wu C.-C., Chen J.-S., Lu K.-C., Chen C.-C., Lin S.-H., Chu P., Sytwu H.-K., Lin Y.-F. Aberrant cytokines/chemokines production correlate with proteinuria in patients with overt diabetic nephropathy. Clinica Chimica Acta. 2010;411(9-10):700–704. doi: 10.1016/j.cca.2010.01.036. [DOI] [PubMed] [Google Scholar]
  • 55.Israni N., Goswami R., Kumar A., Rani R. Interaction of Vitamin D receptor with HLA DRB1*0301 in Type 1 diabetes patients from North India. PLoS ONE. 2009;4(12) doi: 10.1371/journal.pone.0008023.e8023 [DOI] [PMC free article] [PubMed] [Google Scholar]

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