Abstract
Background
Tubulointerstitial nephritis (TIN) and uveitis syndrome (TINU) are likely to be autoimmune diseases. Based on previous studies, adults with isolated idiopathic uveitis have polymorphisms in interleukin 10 (IL-10) and tumor necrosis factor α (TNF-α) genes. We aimed to evaluate the presence of IL-10 and TNF-α polymorphisms in a nationwide cohort of pediatric TIN/TINU patients.
Methods
Single nucleotide polymorphisms in IL-10 (+434T/C, +504G/T, -1082G/A, -2849C/T) and in TNFα (-308G/A, -238G/A, -857C/T) genes were genotyped in 30 well-defined pediatric patients with idiopathic TIN/TINU syndrome. Control group frequencies for these SNPs were obtained from 393 independent Finnish subjects.
Results
The homozygous minor allele in IL-10 +434T (rs2222202) and IL-10+504G (rs3024490) was found in all patients with TIN or TINU syndrome while the frequency of these minor alleles in the control population was 44% and 23%, respectively (p <0.001). In IL-10 SNP -2849 (rs6703630) a significant difference was found with genotype TT in all patients (p = 0.004) and in subgroups with TINU syndrome (p = 0.017) and TINU syndrome with chronic uveitis (p = 0.01) compared to reference population. There were no statistical differences in any of the studied TNF-α genotypes between TIN/TINU patients and control population.
Conclusions
A significant difference in the frequency of IL-10+434T and +504G alleles was found between TIN/TINU patients and control population. Genotype -2849TT was more frequently present in patients with TINU syndrome than in the reference subjects. Genetic variation in the inflammatory mediators may predispose to autoimmune nephritis and uveitis.
Introduction
Tubulointerstitial nephritis (TIN) is a relatively rare but significant cause of acute renal insufficiency (AKI) among children and adults [1]. It is an inflammatory disease, possibly of autoimmune origin [2–5], primarily affecting the renal interstitium and tubular wall without significant glomerular or vascular involvement [6,7]. It can sometimes be accompanied by uveal inflammation (TINU syndrome) which is typically anterior and bilateral [8, 9].
TIN may be triggered by several causes including infections and medications, or etiology can be idiopathic [10]. TIN and uveitis separately can also be associated with systemic immunologic conditions such as sarcoidosis, systemic lupus erythematosus (SLE) or inflammatory bowel disease (IBD) [11–13]. Previous studies have shown evidence of polymorphisms in interleukin 10 (IL-10) and tumor necrosis factor α (TNF-α) coding genes in patients with non-infectious uveitis (NIU) [14, 15]. There are also recent data showing that polymorphisms in these two inflammatory regulators are enriched in patients with inflammatory bowel disease and children with wheezing [16–19]. In this study, the aim was to investigate the frequency of IL-10 and TNF-α single nucleotide polymorphisms (SNPs) in a national cohort of well-defined children and adolescents with TIN/ TINU syndrome compared to Finnish reference population.
Materials and methods
The study was approved by the Ethics Committee of Helsinki University Hospital and followed the tenets of the Declaration of Helsinki. Written informed consent was obtained from all patients and/or parents before the study commenced.
This study was part of our previous nationwide study evaluating HLA associations in TIN/TINU patients [9, 20] and the patient demographics has been reported before. Briefly, the inclusion criteria were biopsy-proven TIN in pediatric patients under 16 years of age. The study cohort was collected from all five university hospitals in Finland between 2008 and 2011. Meticulous work-up was done to exclude possible underlying conditions, such as drug-induced TIN, respiratory infection, sarcoidosis, connective tissue disorder and lymphoma. Uveitis was classified according to standardization of uveitis nomenclature (SUN) criteria. All patients were followed up by a pediatric nephrologist and ophthalmologist for at least one year after the diagnosis of TIN [9, 20, 21].
A total of 30 patients were enrolled (17 boys, 13 girls). Nineteen patients (63%) had uveitis (TINU syndrome) and 15 (50%) of them had chronic uveitis. The median age at the time of diagnosis was 12.5 (9.4–14.7) years. Demographic data is presented in Table 1.
Table 1. Patient demographics and key laboratory findings at the time of the diagnostic biopsy.
All patients | Females | Males | p-value* | |
---|---|---|---|---|
Patients, n (%) | 30 (100) | 13 (43) | 17 (57) | |
Age, years | 12.5 (9.4–14.7) | 12.3 (11.4–14.8) | 11.9 (9.1–15.4) | 0.834 |
TIN, n (%) | 11 (37) | 4 (31) | 7 (41) | 0.564 |
TINU, n (%) | 19 (63) | 9 (69) | 10 (59) | 0.564 |
Chronic TINU, n (%) | 15 (50) | 6 (46) | 9 (53) | 0.717 |
CRP, mg/L | 26 (4–53) | 36a (4–54) | 17 a(4–64) | 0.439 |
ESR, mm/h | 92 (38–108) | 92b (54–109) | 73b (23–98) | 0.204 |
P-Crea, μmol/L | 189 (136–358) | 209 (151–400) | 167 (94–209) | 0.676 |
GFR, ml/min/1.73m2 | 44 (23–57) | 39 (17–47) | 53 (35–76) | 0.451 |
TIN, Tubulointerstitial nephritis; TINU, tubulointerstitial nephritis with uveitis syndrome; CRP, C-reactive protein; P-Crea, plasma creatinine concentration; ESR, erythrocyte sedimentation rate; GFR, glomerular filtration rate. Values in the table are presented as median with the interquartile range in parenthesis.
* P-value calculated for difference between females and males, Mann-Whitney U -test.
a CRP values available, females n = 7, males n = 11
b ESR values available, females n = 10, males n = 11
The targeted single nucleotide polymorphisms from our TIN patient cohort were IL-10 +434T/C, +504G/T, -1082G/A, -2849C/T and TNF-α -308G/A, -238G/A, -857C/T. The primers used in polymerase chain reaction (PCR) to amplify DNA fragments containing our SNPs of interest are presented in Table 2. Genomic DNA samples were sequenced in Oulu University DNA sequencing core facility laboratory with the following method: The PCR amplifications were carried out in a total volume of 11μL, which contained 20 ng genomic DNA, 25 mM MgCl2, 2 mM dNTP mix, 5 μM of each primer, 0.4 unit Maxima Hot Start Taq DNA polymerase and 1 x Hot Start PCR Buffer (Fermentas). PCR products were screened using QIA excel Advanced System (QIAGEN) to confirm the successful amplification. Agencourt AMPure protocol (Beckman Coulter) was used to purify PCR products for sequencing. Finally, the samples were sequenced using ABI3500xL Genetic Analyzer and BigDye Terminator vs.1.1 reagents (Life Technologies). Chromatograms were analyzed by using the Chromas Lite 2.1 program.
Table 2. Primers used in polymerase chain reaction to amplify DNA fragments.
SNP | Primers | |
---|---|---|
IL-10 | ||
-2849 (rs6703630) | reverse | 5´-GGCCCGGATCTGACTTCTTT-3´ |
-1082 (rs1800896) | reverse | 5´-TAAACTTTAGACTCCAGCCACAG-3´ |
+434 (rs2222202) | forward | 5´-ATCCCCAACACCTATTCCCC-3´ |
+504 (rs3024490) | forward | 5´-AAATGCGTTCTCTCTCGTGC-3´ |
TNFα | ||
-308 (rs1800629) | reverse | 5´-CCCAACTTTCCAAATCCCCG-3´ |
-238 (rs361525) | reverse | 5´-TACCGCTTCCTCCAGATGA-3´ |
-857 (rs1799724) | reverse | 5´-GGGGCCCTGAGAAGTGAG-3´ |
IL-10, Interleukin10; TNFα, Tumor necrosis factor α
The frequency of these SNPs was analyzed in the whole study population and in the subgroups of patients with TIN, TINU and TINU with chronic uveitis. Control group (n = 686) frequencies for the IL-10 and TNF-α SNP were obtained from both Illumina Immunochip [22] analysis of 587 Finnish siblings and from the 1000 Genomes Project Finnish population subset (n = 99) [23]. The Immunochip hybridization and genotype calling were performed at the Institute for Molecular Medicine Finland (Helsinki, Finland) according to manufacturer’s instructions. Since the TNF-α SNP -857 / rs1799724 and IL-10 SNP -2849 / rs6703630 were not included in the Immunochip array, their frequencies were imputed using Impute2 v3.2.3 software [24] with default settings and 1000GP_Phase3 as the reference data set. The imputed sequence intervals in GRCh37 Human genome build were 206000000–208000000 for chromosome 1 (rs6703630) and 30500000–32600000 for chromosome 6 (rs1799724).
Statistical analysis
Statistical analyses were carried out with R v3.2.2 (R Core Team 2015). Fisher’s exact test was performed for significance of association for SNP frequencies between patients and controls. The reference SNP frequencies used in Fisher’s test were weighted by the respective sample sizes from the Immunochip (n = 587) and 1000 Genomes (n = 99) data sets. Since the Immunochip data consisted of sibling pairs, the sample size number used in Fisher’s test was halved to take into account the fact that relatedness reduces the effective sample size. Logistic regression was performed for SNP genotype association using the Immunochip sibling cohort as a reference. Finally, all raw p-values were adjusted for multiple testing by the Bonferroni method.
Results
The homozygous minor allele in IL-10 +434T (rs2222202) and IL-10+504G (rs3024490) was found in all patients with TIN/TINU syndrome (Table 3). The frequency of these minor alleles in the control population was 44% and 23%, respectively (p <0.001). The presence of minor allele in IL-10 -2849T did not differ significantly between the cases and the controls (p = 0.33) (Table 3). However, the homozygous -2849TT genotype was found more frequently (p = 0.004) in the patients (17%) than in the controls (0.01%) (Table 4). There were no statistical differences in any of the studied TNF-α alleles between TIN/TINU patients and control population (Table 3, S1 Table).
Table 3. Distribution of alleles in single nucleotide polymorphisms between study population and control subjects.
SNP locus | Allele | Patients % 2n = 60 |
Controls % | p value | Genotype % | ||
---|---|---|---|---|---|---|---|
2n = 785* | |||||||
IC 1000Genomes | |||||||
IL-10–2849 | C | 32 | 83 | 83 | 0.33 | CC | 53 |
(rs6703630) | T | 68 | 17 | 17 | CT | 30 | |
TT | 17 | ||||||
IL-10–1082 (rs1800896) |
C | 48 | 46 | 40 | 1.00 | TT | 30 |
T | 52 | 54 | 60 | CC | 27 | ||
TC | 43 | ||||||
IL-10 +434 (rs2222202) |
T | 100 | 46 | 40 | <0.001 | TT | 100 |
G | 0 | 54 | 60 | TG | 0 | ||
GG | 0 | ||||||
IL-10 +504 (rs3024490) |
G | 100 | 78 | 76 | <0.001 | GG | 100 |
A | 0 | 22 | 24 | AG | 0 | ||
AA | 0 | ||||||
TNFα -308 | G | 87 | 89 | 87 | 1.00 | GG | 86 |
(rs1800629) | A | 13 | 11 | 13 | AGG | 14 | |
AA/AG | 0/0 | ||||||
TNFα -238 | G | 100 | 98 | 96 | 1.00 | GG | 100 |
(rs361525) | A | 0 | 2 | 4 | AG | 0 | |
AA | 0 | ||||||
TNFα -857 | C | 87 | 92 | 93 | 1.00 | CC | 87 |
(rs1799724) | T | 13 | 8 | 7 | TC | 13 | |
TT | 0 |
SNP, Single nucleotide polymorphism; Il-10, Interleukin 10; TNFα, Tumor necrosis factor α. p-values are adjusted for multiple testing by the Bonferroni- method.
* Illumina Immunochip analysis of 587 Finnish siblings (IC) and 1000 Genomes project, Finnish population subset n = 99
Table 4. Significant differences in IL-10 minor alleles and genotypes between study cohort and control population.
SNP locus | Minor allele | P value | P value | P value | P value |
---|---|---|---|---|---|
All pts, 2n = 60 | TIN, 2n = 22 | TINU, 2n = 38 | Chronic uveitis, 2n = 30 | ||
IL-10–2849 (rs6703630) |
T | 0.33 | 1.00 | 1.00 | 1.00 |
OR† | 2.3 | 2.68 | 2.14 | 2.36 | |
(95% CI) | (1.2–4.2) | (0.89–7.40) | (0.96–4.47) | (0.92–5.62) | |
IL-10 +434 (rs2222202) | T | <0.001 | <0.001 | <0.001 | <0.001 |
IL-10 +504 (rs3024490) |
A | <0.001 | 0.50 | 0.004 | 0.07 |
Genotype | P value | P value | P value | P value | |
All pts, n = 30 | TIN, n = 11 | TINU, n = 19 | Chronic uveitis, n = 15 | ||
IL-10–2849 (rs6703630) |
CT* | 1.00 | 1.00 | 1.00 | 1.00 |
TT# | 0.004 | 0.275 | 0.017 | 0.01 |
OR, Odds ratio; SNP, Single nucleotide polymorphism; Pts, Patients; TIN, Tubulointerstitial nephritis; TINU, Tubulointerstitial nephritis with uveitis syndrome; IL-10, Interleukin 10; CI, Confidence interval. Control group for allele frequency 2n = 785. Control group for genotype frequency consist only of Illumina Immunochip population, n = 257; Genotype frequency analysis was done with logistic regression; p-values are adjusted for multiple testing by the Bonferroni method.
*heterozygous patients n = 9/30% vs. controls 21%
#homozygous patients n = 5/17% vs. controls 0.01%
†Odds ratio for minor allele frequency was calculated when applicable. No OR for SNPs IL-10 +434 and IL-10 +504 were calculated because the other allele frequency was zero.
In the subgroup analysis, a significant increase in the allele frequency of IL-10+434T (rs2222202) was found in patients with isolated nephritis (p <0.001), TINU syndrome (p <0.001) and TINU with chronic uveitis (p <0.001) when compared to the reference population (Table 4). IL-10+504G (rs3024490) minor allele was present more often in TINU patients (p = 0.004) but not in subgroups with isolated TIN (p = 0.5) or TINU syndrome with chronic uveitis (p = 0.07) (Table 4).
In SNP -2849 (rs6703630) a significant difference in genotype frequency TT was found in patients with TINU syndrome (p = 0.017) and TINU syndrome with chronic uveitis (p = 0.01) when compared to the reference population (Table 4).
Discussion
In the present study, we aimed to investigate the frequency of IL-10 and TNF-α polymorphisms in a cohort of Finnish pediatric patients with idiopathic TIN/TINU syndrome. All patients with either isolated nephritis or TINU syndrome were homozygous carriers of the IL-10 +434T and +504G minor alleles, which suggests that these SNPs may predispose to TIN and/or TINU. In addition to IL-10 +434T and +504G minor alleles, the patients with uveitis and chronic uveitis had significantly more frequently IL-10 -2849TT genotype than Finnish control population. Despite the high occurrence of uveitis in the present study population, none of the previously reported TNF-α SNPs -308G/A, -238G/A, -857C/T were found in this cohort. Our results suggest that IL-10 polymorphisms may have a role in susceptibility to TIN/TINU while genetic variation in TNF-α gene may be connected to isolated uveitis.
It is obvious that tendency for uveitis with or without tubulointerstitial nephritis is dependent on genetic factors. We, among others, have previously shown an association between HLA haplotypes and uveitis and/or TIN [2, 3, 25, 26]. Based on our present findings, variability in the IL-10 gene may predispose to TIN/TINU in pediatric population. IL-10 production is stimulated by various exogenous and endogenous factors, but it has also been shown to be under genetic control with association to different SNPs in several independent studies [27–29]. Different allele and genotype variations alter cytokine profiles influencing the development and severity of various diseases, as documented in SLE, tuberculosis and several other infectious diseases (IL-10 overexpression) [30–36], and rheumatoid arthritis and asthma (IL-10 downregulation) [19, 37–39]. Polymorphisms in inflammatory response regulating genes have been reported among patients with uveitis [40–42]. Atan et al. have previously shown a significant association between IL-10–2849, +434, +504 minor allele frequencies and non-infectious uveitis (NIU) in a cohort of 192 patients [14]. The SNPs +434 (rs2222202) and +504 (rs3024490) located in introns are in regulatory regions, and may influence the expression of mRNA and/or protein. The same point is related to SNP-2849 (rs6703630) located in the 5'UTR region. According to the Genotype-Tissue Expression (GTEx) database (https://gtexportal.org), IL-10 mRNA expression is increased significantly in whole blood samples from human subjects with minor allele SNPs +434 (rs2222202), +504 (rs3024490), and -2849 (rs6703630). This data indicates, that these homozygous minor alleles have impact on gene regulation separately, however, their cooperative action and influence on IL-10 level remain unclear.
In the present study, previously reported, association between TNF-α alleles -308AA and -238AA, IL-10 SNP -1082AA and TIN/TINU could not be found [14, 15]. All patients, including those with chronic uveitis, had -238GG and -308GG genotype, which suggests that in TIN patients the studied genetic variation in TNF-α does not have any influence on uveitis risk. The genetic background in TIN/TINU patients is probably different from patients with isolated uveitis. This is also supported by our previous finding in this same study population showing that none of the patients had the HLA-DRB1*15 genotype, which has been suggested to be associated with increased risk for uveitis [43, 44] and is relatively common in the Finnish population (15%) [3]. It is also likely, that the association between HLA genotype as well as genetic variation in cytokine genes and uveitis appear to depend on study population and ethnicity [45]. In previous studies, the patient cohorts have been rather heterogeneous consisting of patients with varying causes of uveitis, such as sarcoidosis, Bechet’s disease, sympathetic ophthalmia, intermediated uveitis, white dots with or without inflammation, and the age range of the patients was wide. [14, 15]. In the present study, all patients had biopsy proven nephritis and systemic diseases and infectious agents were excluded. In addition, the patients were prospectively followed-up by pediatrician and ophthalmologist at least 12 months from initial diagnosis, which is likely to improve the reliability of our findings. It is also of note that in the present study, all patients had TIN and approximately half of them had chronic uveitis. The presence of nephritis has not been reported in majority of the previous studies.
The major caveat of the study is the relatively small study population. TIN/TINU is a relatively rare entity. We have collected patients from all university hospitals in Finland and this is one of the largest pediatric data that has been published. In addition, all patients were evaluated carefully and followed up prospectively using the same protocol. Another weakness is that we did not measure serum levels of IL-10 and TNF-α, and therefore based on our data, we are not able to draw any conclusions about the clinical relevance of the identified SNPs in this study population.
In conclusion, IL-10 gene polymorphisms +434T/C, +504G/T, and genotype -2849TT were found in a majority of the TIN/TINU patients while the frequency of none of the previously reported TNFα SNPs differed from control population. The clinical importance of this finding remains to be studied.
Supporting information
Acknowledgments
The authors thank Mari Taipale from the DNA Sequencing and Expression Analysis Center, Biocenter Oulu, University of Oulu, for executing the sequencing of the patient samples.
Data Availability
All relevant data are within the manuscript and its Supporting Information files.
Funding Statement
This study has been supported by the Foundation for Pediatric Research, the Päivikki and Sakari Sohlberg Foundation, Finnish Medical Foundation and the Alma and K.A. Snellman Foundation, Oulu, Finland. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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