Abstract
Interleukin-37 (IL-37) has recently been recognized as a strong anti-inflammatory cytokine having anti-tumor activity against hepatocellular carcinoma (HCC) in hepatitis B virus (HBV)-infected patients. HCC is a typical inflammation-related cancer, and genetic variations within the IL-37 gene may be associated with the risk of HBV infection. Identification of the allelic patterns that genetically have a high disease risk is essential for the development of preventive diagnostics for HBV-mediated liver disease pathogenesis. In this study, we aimed to investigate the association between single nucleotide polymorphisms (SNPs) within the IL-37 gene and disease sequelae associated with HBV infection. We genotyped ten IL-37 SNPs in 1274 patients infected with HBV and 599 healthy controls from a Saudi Arabian population. Among the selected SNPs, two SNPs (rs2723175 and rs2708973) were strongly associated with HBV infection, and six SNPs (rs2723176, rs2723175, rs2723186, rs364030, rs28947200, rs4392270) were associated with HBV clearance, comparing healthy controls and HBV infected-patients respectively. A suggestive association of rs4849133 was identified with active HBV surface antigen (HBsAg) carrier and HBV-related liver disease progression. In conclusion, our findings suggest that variations at the IL-37 gene may be useful as genetic predictive risk factors for HBV infection and HBV-mediated liver disease progression in the Saudi Arabian population.
Subject terms: Mutation, Cancer
Introduction
Hepatitis B virus (HBV) is a blood-borne virus that specifically infects the liver and triggers immune-mediated liver injury, which may result in cirrhosis or hepatocellular carcinoma (HCC) in extreme cases1. HBV is vertically transmitted from infected mothers to their offspring, though it is more frequently acquired through horizontal transmission including contaminated blood transfusion, parenteral routes or via sexual interaction2,3. HBV infection affects more than 2 billion people globally, with a high prevalence in Sub-Saharan African and Southeast Asian countries including Saudi Arabia2,4. In approximately 90% of cases, HBV infection is acute, and the virus is cleared within 6 months by the natural immune response5,6. Most patients chronically infected with HBV are asymptomatic and characterized by the absence of the HB e antigen (HBeAg). The presence of anti-HBe antibodies is associated with largely intact liver tissue2. Based on available age-related epidemiological data, in 90% of infants and 50% of young children affected with HBV, the infection becomes chronic and persists for many years7,8.
Belonging to the Hepadnaviridae family that replicates in human hepatocytes, HBV is an enveloped non-cytopathic virus containing a partially double-stranded viral DNA genome of 3.2-kb length within its core9,10. After infecting hepatocytes, HBV releases its genome into the cell host nucleus for viral RNA transcription, DNA replication, and viral protein synthesis including HBV surface antigen (HBsAg). The degree of severity of HBV infection is influenced by several factors such as the age at infection, longer duration of infection, immune status, HBV genotype, high degree of viral mutations, high level of HBV replication, co-infection with hepatitis C or delta virus, or with human immunodeficiency virus (HIV), male gender, environmental factors (e.g., alcohol consumption, smoking and exposure to aflatoxin), and ethnic background11–16.
Recent studies provided additional evidence of the pivotal role of inflammation in patients with chronic HBV infection, which may result in cirrhosis following secondary necroinflammation with the eventual progression to HCC17,18. Pro-inflammatory mediators, such as interferons and cytokines, are produced after the binding of the HBV core protein to membrane heparin sulfate exposed on the cell surface of human hepatoma cells19,20. Interleukin-37 (IL-37), a member of the IL-1 family, is an anti-inflammatory cytokine produced by immune cells and suppresses the production of inflammatory cytokines in several types of disease. It has been shown that IL-37 is capable of reducing the activity of both innate and specific immune responses21,22. Zhao et al. (2014) showed that decreased expression of IL-37 was correlated with HCC progression23, and elevated serum IL-37 levels have been observed in patients infected with HBV and treated with telbivudine24. Several studies have shown that there is a significant association between certain genetic variations within the IL-37 gene and several diseases, including tuberculosis25,26, coronary artery disease (CAD)27, and autoimmune-based thyroid diseases28.
Despite the implementation of anti-HBV immunization programs for newborns, there are still approximately 5,000 new patients diagnosed with HBV infection per year in Saudi Arabia4,29. In this study, we investigated the association between IL-37 SNPs and disease sequelae associated with HBV infection in a Saudi Arabian population.
Materials and Methods
Patients
Peripheral blood samples were collected from 1274 patients infected with HBV and 599 normal healthy volunteers of Saudi origin from three major hospitals in Riyadh City, including King Faisal Specialist Hospital and Research Center (KFSHRC), King Khalid University Hospital (KKUH), and Prince Sultan Military Medical City (PSMMC). Written informed consent was obtained from participating individuals, and the study was approved by the institutional review board of the participating hospitals in accordance with the Helsinki Declaration of 1975. The patients were grouped in five categories based on disease severity: group I included patients who cleared HBV (n = 400), group II patients with inactive HBV infection (n = 563), group III patients with active HBV infection (n = 217), group IV patients with HBV-associated cirrhosis (n = 64), and group V patients with cirrhosis diagnosed with HCC (n = 30). Control subjects were characterized by the absence of any known serological marker for HBV.
TagSNP Selection
The SNP data of the entire IL-37 gene were downloaded from the 1000 Genomes Project Database (GPD; http://www.internationalgenome.org). All genetic variants with a minor allele frequency ≥ 0.05 and located within the IL37 genomic region (Chromosome 2: 113,670,548-113,676,459, GRCh37) plus a flanking region of 7 kb were extracted from the 1000 Genome Project – Phase 330,31. The Tagger tool as implemented in Haploview Software (Broad Institute of MIT and Harvard, Cambridge, MA, USA, version 4.2) was used to select tag SNPs that span this genomic region using the pairwise tagging method and an r2 threshold of 0.8. Of the identified 134 variants in the 1000 GPD, we selected 10 tag SNPs that captures 103 (76%) alleles at r2 ≥ 0.8 with a mean max r2 equal to 0.925. The final set of SNPs investigated in this study was rs2723176, rs2723175, rs2723186, rs2723168, rs4364030, rs3811047, rs28947200, rs4392270, rs4849133, and rs2708973.
Genotyping of IL-37 SNPs
Genomic DNA was extracted from the buffy coats isolated from patients with HBV using the Gentra Pure Gene kit (Qiagen, Hilden, Germany). Patient and control samples were genotyped for the ten selected SNPs using the 7900 HT Fast Real Time PCR System (Applied Biosystems, Foster City, CA, USA). The reagents used included universal TaqMan master mix, amplifying primers, and probes specific for each SNP and were purchased from Applied Biosystems. For each SNP, one allelic probe was labeled with FAM dye and the other with fluorescent VIC dye. The reaction was performed in a 96-well plate in a total reaction volume of 25 µL using 20 ng of genomic DNA. The TaqMan assay was subsequently read and analyzed by an automated software sequence detection system (SDS, version 2.4.1).
Statistical analysis
Statistical analysis was performed using the SPSS version 20.0 (SPSS Inc., Chicago, IL, USA) and HaploView version 4.2. The association between the IL-37 tag SNPs and disease status was expressed in odds ratio (OR) and 95% confidence intervals (CI). A statistically significant level of association was corrected for multiple testing, and only associations less than 0.00125 were considered significant. The SNPs were tested for the Hardy–Weinberg equilibrium (HWE) using Haploview software. A cut-off p-value of 0.05 was set for the HWE, and SNPs were excluded if they did not meet this value. OR values with CI calculated in fixed or random-effects models were used to estimate the strength of the association.
Results
Characteristics of the study subjects
Table 1 displays the demographic and clinical details of patients infected with HBV and the control subjects. The analysis shows that older age, male gender, body mass index (BMI), and HBV load were significantly associated with the risk of HBV chronic infection developing into severe liver disease such as cirrhosis and HCC.
Table 1.
Demographic and clinical characteristics of patients infected with HBV and healthy control subjects.
| Variable | Inactive (n = 563) | Active (n = 217) | Cirrhosis (n = 64) | HCC (n = 30) | Healthy Control (n = 599) | Clearance (n = 400) | p-valuea |
|---|---|---|---|---|---|---|---|
| Age (yrs.)** | 40.65 ± 13.33 | 36.085 ± 11.76 | 53.17 ± 12.67 | 60.034 ± 11.78 | 30.79 ± 8.93 | 37.14 ± 10.72 | <0.0001 |
| Sex | |||||||
| Male count (%) | 380 (67.5%) | 174 (80.2%) | 51 (79.7%) | 29 (96.7%) | 567 (94.7%) | <0.0001 | |
| Female count (%) | 183 (32.5%) | 43 (19.8%) | 13 (20.3%) | 1 (3.3%) | 32 (5.3%) | ||
| BMI* | 27.70 (24.87–31.73) | 27.10 (23.06–30.855) | 26.14 (21.815–29.87) | 24.055 (21.960–27.44) | 0.001 | ||
| ALT** | 58.74 ± 293.82 | 91.13 ± 108.10 | 71.32 ± 116.04 | 80.72 ± 76.44 | 0.157 | ||
| HCV Load (Log10)* | 2.290 (1.30–3.16) | 5.54 (4.50–7.70) | 2.77 (1.55–4.922) | 3.64 (1.080–5.67) | <0.0001 | ||
*Values are expressed as median interquartile range (25th–75th), **Values are expressed as Mean ± SD. pa: nonparametric test and one-way ANOVA for continuous data and Chi square test for categorical data. Abbreviations: BMI: Body mass index; ALT: alanine aminotransferase.
Genotype and allele frequency distributions of IL-37 polymorphisms associated with HBV infection and clearance
The genotype distribution and allele frequency for IL-37 polymorphisms between the HBV-infected group and control subjects are summarized in Table 2. The major allele homozygous genotype for each SNP was defined as the reference (Ref) genotype. Our results showed that two SNPs within the IL-37 gene (rs2723175 and rs2708973) were significantly associated with a higher risk for HBV infection compared to the healthy controls (Table 2). In particular, both SNPs were associated with the highest risk of HBV infection under the dominant model (p < 0.0001, OR = 5.895, 95% CI = 4.216–8.243 and p < 0.0001, OR = 2.768, 95% CI = 1.727–4.438, respectively). Three other SNPs showed suggestive significance at a nominal p-value threshold (rs4849133, rs28947200, and rs2723186). The TT genotype of rs28947200 was associated with a lower number of patients infected with HBV (p = 0.004, OR = 0.462, 95% CI = 0.268–0.796), whereas rs4849133 was related to the risk of HBV infection under both the dominant and recessive models (p = 0.015, OR = 1.419, 95% CI = 1.069–1.885; p = 0.029, OR = 0.552, 95% CI = 0.321–0.947, respectively) compared to healthy controls. The minor allele A of rs2723186 was associated with patients infected with HBV at a nominal p-value, with OR = 1.424, 95% CI = 1.045–1.939 and p-value = 0.024. No significant difference in the genotype and allele distributions of rs2723176, rs2723168, rs4364030, rs3811047, and rs4392270 SNPs was observed in patients infected with HBV compared to the healthy controls (Table 2).
Table 2.
Comparison of genotypic distributions between patients infected with HBV and healthy controls.
| SNPs | Genotype/Allele distribution | Control (n = 599) | % | HBV patients (n = 874) | % | OR (95% C.I.) | χ² | p-value |
|---|---|---|---|---|---|---|---|---|
| rs2723176 | CC | 560 | 93.49% | 794 | 90.85% | Ref | ||
| AC | 36 | 6.01% | 75 | 8.58% | 1.469 (0.973–2.218) | 3.387 | 0.066 | |
| AA | 3 | 0.50% | 5 | 0.57% | 1.175 (0.280–4.939 | 0.049 | 1.00 | |
| C | 1156 | 96.49% | 1663 | 95.14% | 1.407 (0.965–2.051) | 3.172 | 0.075 | |
| A | 42 | 3.51% | 85 | 4.86% | ||||
| AA + AC vs CC | 1.447 (0.972–2.153) | 3.340 | 0.068 | |||||
| AA vs AC + CC | 0.875 (0.208–3.675) | 0.033 | 0.854 | |||||
| rs2723175 | GG | 554 | 92.49% | 591 | 67.62% | Ref | ||
| AG | 28 | 4.67% | 238 | 27.23% | 7.968 (5.296–11.987) | 127.66 | <0.0001 | |
| AA | 17 | 2.84% | 45 | 5.15% | 2.481 (1.403–4.387) | 10.370 | 0.001 | |
| G | 1136 | 94.82% | 1420 | 81.24% | 4.232 (3.191–5.613) | 114.283 | <0.0001 | |
| A | 62 | 5.18% | 328 | 18.76% | ||||
| AA + AG vs GG | 5.895 (4.216–8.243) | 126.976 | <0.0001 | |||||
| AA vs AG + GG | 0.538 (0.305–0.950) | 4.710 | 0.030 | |||||
| rs2723186 | GG | 553 | 92.32% | 782 | 89.47% | Ref | ||
| AG | 28 | 4.67% | 54 | 6.18% | 1.364 (0.853–2.180) | 1.691 | 0.193 | |
| AA | 18 | 3.01% | 38 | 4.35% | 1.493 (0.843–2.643) | 1.913 | 0.167 | |
| G | 1134 | 94.66% | 1618 | 92.56% | 1.424 (1.045–1.939) | 5.071 | 0.024 | |
| A | 64 | 5.34% | 130 | 7.44% | ||||
| AA + AG vs GG | 1.414 (0.977–2.048) | 3.392 | 0.065 | |||||
| AA vs AG + GG | 0.682 (0.385–1.206) | 1.752 | 0.186 | |||||
| rs2723168 | AA | 19 | 3.17% | 35 | 4.00% | Ref | ||
| AG | 578 | 96.49% | 834 | 95.42% | 0.783 (0.444–1.383) | 0.712 | 0.399 | |
| GG | 2 | 0.33% | 5 | 0.57% | 1.357 (0.240–7.673) | 0.120 | 0.728 | |
| A | 616 | 51.42% | 904 | 51.72% | 0.988 (0.853–1.145) | 0.025 | 0.874 | |
| G | 582 | 48.58% | 844 | 48.28% | ||||
| GG + AG vs AA | 0.785 (0.445–1.386) | 0.698 | 0.404 | |||||
| GG vs AG + AA | 0.582 (0.113–3.011) | 0.426 | 0.708 | |||||
| rs4364030 | CC | 292 | 48.75% | 428 | 48.97% | Ref | ||
| CG | 245 | 40.90% | 357 | 40.85% | 0.994 (0.797–1.239) | 0.003 | 0.958 | |
| GG | 62 | 10.35% | 89 | 10.18% | 0.979 (0.686–1.399) | 0.013 | 0.909 | |
| C | 829 | 69.20% | 1213 | 69.39% | 0.991 (0.845–1.162) | 0.013 | 0.910 | |
| G | 369 | 30.80% | 535 | 30.61% | ||||
| GG + CG vs CC | 0.991 (0.805–1.220) | 0.007 | 0.933 | |||||
| GG vs CG + CC | 1.018 (0.723–1.434) | 0.011 | 0.917 | |||||
| rs3811047 | GG | 168 | 28.05% | 264 | 30.21% | Ref | ||
| AG | 278 | 46.41% | 389 | 44.51% | 0.890 (0.695–1.140) | 0.850 | 0.358 | |
| AA | 153 | 25.54% | 221 | 25.29% | 0.919 (0.693–1.219) | 0.340 | 0.559 | |
| G | 614 | 51.25% | 917 | 52.46% | 0.953 (0.822–1.104) | 0.420 | 0.519 | |
| A | 584 | 48.75% | 831 | 47.54% | ||||
| AA + AG vs GG | 0.901 (0.716–1.133) | 0.800 | 0.371 | |||||
| AA vs AG + GG | 1.014 (0.798–1.287) | 0.010 | 0.912 | |||||
| rs28947200 | CC | 511 | 85.31% | 771 | 88.22% | Ref | ||
| CT | 55 | 9.18% | 80 | 9.15% | 0.964 (0.672–1.383) | 0.040 | 0.842 | |
| TT | 33 | 5.51% | 23 | 2.63% | 0.462 (0.268–0.796) | 8.087 | 0.004 | |
| C | 1077 | 89.90% | 1622 | 92.79% | 0.691 (0.533–0.898) | 7.739 | 0.005 | |
| T | 121 | 10.10% | 126 | 7.21% | ||||
| TT + CT vs CC | 0.776 (0.571–1.053) | 2.660 | 0.103 | |||||
| TT vs CT + CC | 2.157 (1.254–3.713) | 8.047 | 0.005 | |||||
| rs4392270 | GG | 555 | 92.65% | 796 | 91.08% | Ref | ||
| AG | 33 | 5.51% | 54 | 6.18% | 1.141 (0.730–1.783) | 0.335 | 0.562 | |
| AA | 11 | 1.84% | 24 | 2.75% | 1.521 (0.739–3.131) | 1.316 | 0.251 | |
| G | 1143 | 95.41% | 1646 | 94.16% | 1.288 (0.920–1.803) | 2.181 | 0.139 | |
| A | 55 | 4.59% | 102 | 5.84% | ||||
| AA + AG vs GG | 1.236 (0.8841–1.817) | 1.166 | 0.280 | |||||
| AA vs AG + GG | 0.663 (0.322–1.363) | 1.268 | 0.260 | |||||
| rs4849133 | TT | 513 | 85.64% | 706 | 80.78% | Ref | ||
| CT | 67 | 11.19% | 119 | 13.62% | 1.291 (0.937–1.778) | 2.447 | 0.118 | |
| CC | 19 | 3.17% | 49 | 5.61% | 1.874 (1.090–3.221) | 5.312 | 0.021 | |
| T | 1093 | 91.24% | 1531 | 87.59% | 1.475 (1.154–1.886) | 9.725 | 0.002 | |
| C | 105 | 8.76% | 217 | 12.41% | ||||
| CC + CT vs TT | 1.419 (1.069–1.885) | 5.894 | 0.015 | |||||
| CC vs CT + TT | 0.552 (0.321–0.947) | 4.784 | 0.029 | |||||
| rs2708973 | GG | 576 | 96.16% | 787 | 90.05% | Ref | ||
| AG | 9 | 1.50% | 65 | 7.44% | 5.286 (2.611–10.701) | 26.342 | <0.0001 | |
| AA | 14 | 2.34% | 22 | 2.52% | 1.150 (0.583–2.267) | 0.163 | 0.686 | |
| G | 1161 | 96.91% | 1639 | 93.76% | 2.087 (1.426–3.053) | 14.948 | <0.0001 | |
| A | 37 | 3.09% | 109 | 6.24% | ||||
| AA + AG vs GG | 2.768 (1.727–4.438) | 19.230 | <0.0001 | |||||
| AA vs AG + GG | 0.927 (0.470–1.826) | 0.050 | 0.826 |
Bold indicates significance.
Genotype and allele distribution were also determined in patients infected with HBV and the HBV clearance group due to the natural host immune response. Among the ten IL-37 polymorphisms, four SNPs (rs2723176, rs2723186, rs4364030 and rs4392270) were significantly associated with a predisposition for HBV clearance compared to patients with chronic HBV infection (Table 3). The A allele of rs2723176, compared to the C allele, showed the highest correlation with HBV clearance (p < 0.0001, OR = 0.517, 95% CI = 0.373–0.716). Under the dominant model, there was a significant association for rs2723176 when comparing chronically infected patients with the clearance group (AA + AC vs CC, p = 0.0002, OR = 0.519, 95% CI = 0.365–0.738). In addition, the AG genotype of rs2723186, compared to the GG genotype (p < 0.0001, OR = 0.369, 95% CI = 0.250–0.543) exhibited a decreased risk of HBV infection. An individual carrying the G minor allele of rs4364030 showed improved viral clearance, with a p-value of 0.0002 and an OR of 0.716 with a 95% CI value of 0.601–0.853. The heterozygous genotype AG of rs4392270 was positively associated with HBV clearance with a p-value < 0.0001, and the A allele was found to be associated with a decreased risk of HBV infection at a nominal p-value level (p = 0.012, OR = 0.667, 95% CI = 0.485–0.918). Similarly, a significant association at a nominal p-value of rs4849133 heterozygous CT genotype was found, when compared to the dominant TT genotype, with p = 0.017 and OR = 0.681. However, two SNPs, rs2723175 and rs28947200, were associated with an increased risk of HBV infection (Table 3). The rs2723175 AG genotype was found to be associated with patients infected with HBV with a p-value < 0.0001 (OR = 10.614 and CI = 6.097–18.480). The rs28947200 CT genotype was associated with the highest risk of HBV infection (p < 0.0001, OR = 20.389, 95% CI = 4.986–83.377) when comparing patients with HBV to the clearance group. No significant difference was found between the HBV clearance group and the HBV infected group in the remaining SNPs (Table 3).
Table 3.
Comparison of genotypic distributions between patients infected with HBV and the clearance group.
| SNPs | Genotype/Allele distribution | Clearance (n = 400) | % | HBV patients (n = 874) | % | OR (95% C.I.) | χ² | p-value |
|---|---|---|---|---|---|---|---|---|
| rs2723176 | CC | 335 | 83.75% | 794 | 90.85% | Ref | ||
| AC | 58 | 14.50% | 75 | 8.58% | 0.546 (0.378–0.786) | 10.780 | 0.001 | |
| AA | 7 | 1.75% | 5 | 0.57% | 0.301 (0.095–0.956) | 4.650 | 0.031 | |
| C | 728 | 91.00% | 1663 | 95.14% | 0.517 (0.373–0.716) | 16.250 | <0.0001 | |
| A | 72 | 9.00% | 85 | 4.86% | ||||
| AA + AC vs CC | 0.519 (0.365–0.738) | 13.700 | 0.0002 | |||||
| AA vs AC + CC | 3.096 (0.976–9.814) | 4.080 | 0.043 | |||||
| rs2723175 | GG | 369 | 92.25% | 591 | 67.62% | Ref | ||
| AG | 14 | 3.50% | 238 | 27.23% | 10.614 (6.097–18.480) | 99.850 | <0.0001 | |
| AA | 17 | 4.25% | 45 | 5.15% | 1.653 (0.932–2.931) | 3.010 | 0.083 | |
| G | 752 | 94.00% | 1420 | 81.24% | 3.619 (2.640–4.961) | 71.080 | <0.0001 | |
| A | 48 | 6.00% | 328 | 18.76% | ||||
| AA + AG vs GG | 5.700 (3.848–8.443) | 89.630 | <0.0001 | |||||
| AA vs AG + GG | 0.818 (0.462–1.447) | 0.480 | 0.489 | |||||
| rs2723186 | GG | 331 | 82.75% | 782 | 89.47% | Ref | ||
| AG | 62 | 15.50% | 54 | 6.18% | 0.369 (0.250–0.543) | 27.150 | <0.0001 | |
| AA | 7 | 1.75% | 38 | 4.35% | 2.298 (1.016–5.198) | 4.210 | 0.040 | |
| G | 724 | 90.50% | 1618 | 92.56% | 0.765 (0.569–1.029) | 3.140 | 0.076 | |
| A | 76 | 9.50% | 130 | 7.44% | ||||
| AA + AG vs GG | 0.564 (0.403–0.791) | 11.240 | 0.0008 | |||||
| AA vs AG + GG | 0.392 (0.173–0.885) | 5.430 | 0.019 | |||||
| rs2723168 | AA | 4 | 1.00% | 35 | 4.00% | Ref | ||
| AG | 393 | 98.25% | 834 | 95.42% | 0.243 (0.086–0.687) | 8.320 | 0.004 | |
| GG | 3 | 0.75% | 5 | 0.57% | 0.190 (0.033–1.114) | 3.890 | 0.049 | |
| A | 401 | 50.13% | 904 | 51.72% | 0.938 (0.794–1.109) | 0.560 | 0.456 | |
| G | 399 | 49.88% | 844 | 48.28% | ||||
| GG + AG vs AA | 0.242 (0.085–0.686) | 8.350 | 0.004 | |||||
| GG vs AG + AA | 1.313 (0.312–5.523) | 0.140 | 0.709 | |||||
| rs4364030 | CC | 162 | 40.50% | 428 | 48.97% | Ref | ||
| CG | 171 | 42.75% | 357 | 40.85% | 0.790 (0.611–1.022) | 3.240 | 0.072 | |
| GG | 67 | 16.75% | 89 | 10.18% | 0.503 (0.349–0.724) | 13.920 | 0.0002 | |
| C | 495 | 61.88% | 1213 | 69.39% | 0.716 (0.601–0.853) | 14.040 | 0.0002 | |
| G | 305 | 38.13% | 535 | 30.61% | ||||
| GG + CG vs CC | 0.709 (0.558–0.901) | 7.920 | 0.005 | |||||
| GG vs CG + CC | 1.313 (0.312–5.523) | 0.140 | 0.709 | |||||
| rs3811047 | GG | 139 | 34.75% | 264 | 30.21% | Ref | ||
| AG | 176 | 44.00% | 389 | 44.51% | 1.164 (0.887–1.527) | 1.200 | 0.274 | |
| AA | 85 | 21.25% | 221 | 25.29% | 1.369 (0.990–1.892) | 3.630 | 0.057 | |
| G | 454 | 56.75% | 917 | 52.46% | 1.189 (1.005–1.407) | 4.060 | 0.044 | |
| A | 346 | 43.25% | 831 | 47.54% | ||||
| AA + AG vs GG | 1.231 (0.957–1.582) | 2.620 | 0.106 | |||||
| AA vs AG + GG | 0.797 (0.600–1.059) | 2.450 | 0.118 | |||||
| rs2894720 | CC | 393 | 98.25% | 771 | 88.22% | Ref | ||
| CT | 2 | 0.50% | 80 | 9.15% | 20.389 (4.986–83.377) | 34.710 | <0.0001 | |
| TT | 5 | 1.25% | 23 | 2.63% | 2.345 (0.885–6.215) | 3.110 | 0.078 | |
| C | 788 | 98.50% | 1622 | 92.79% | 5.101 (2.805–9.278) | 34.910 | <0.0001 | |
| T | 12 | 1.50% | 126 | 7.21% | ||||
| TT + CT vs CC | 7.500 (3.455–16.282) | 35.030 | <0.0001 | |||||
| TT vs CT + CC | 0.468 (0.177–1.241) | 2.440 | 0.119 | |||||
| rs4392270 | GG | 340 | 85.00% | 796 | 91.08% | Ref | ||
| AG | 52 | 13.00% | 54 | 6.18% | 0.444 (0.297–0.663) | 16.420 | <0.0001 | |
| AA | 8 | 2.00% | 24 | 2.75% | 1.281 (0.570–2.881) | 0.360 | 0.548 | |
| G | 732 | 91.50% | 1646 | 94.16% | 0.667 (0.485–0.918) | 6.260 | 0.012 | |
| A | 68 | 8.50% | 102 | 5.84% | ||||
| AA + AG vs GG | 0.555 (0.388–0.796) | 10.490 | 0.001 | |||||
| AA vs AG + GG | 0.723 (0.322–1.623) | 0.620 | 0.429 | |||||
| rs4849133 | TT | 311 | 77.75% | 706 | 80.78% | Ref | ||
| CT | 77 | 19.25% | 119 | 13.62% | 0.681 (0.496–0.934) | 5.720 | 0.017 | |
| CC | 12 | 3.00% | 49 | 5.61% | 1.799 (0.944–3.429) | 3.260 | 0.071 | |
| T | 699 | 87.38% | 1531 | 87.59% | 0.981 (0.762–1.263) | 0.020 | 0.881 | |
| C | 101 | 12.63% | 217 | 12.41% | ||||
| CC + CT vs TT | 0.832 (0.622–1.111) | 1.560 | 0.211 | |||||
| CC vs CT + TT | 0.521 (0.274–0.990) | 4.090 | 0.043 | |||||
| rs2708973 | GG | 364 | 91.00% | 787 | 90.05% | Ref | ||
| AG | 18 | 4.50% | 65 | 7.44% | 1.670 (0.977–2.856) | 3.580 | 0.059 | |
| AA | 18 | 4.50% | 22 | 2.52% | 0.565 (0.300–1.067) | 3.170 | 0.075 | |
| G | 746 | 93.25% | 1639 | 93.76% | 0.919 (0.656–1.287) | 0.240 | 0.622 | |
| A | 54 | 6.75% | 109 | 6.24% | ||||
| AA + AG vs GG | 1.118 (0.743–1.681) | 0.290 | 0.593 | |||||
| AA vs AG + GG |
Bold indicates significance.
Genotype and allele frequency distributions of IL-37 polymorphisms associated with HBV-related liver diseases
Genotypic and allelic distributions were determined in patients characterized as inactive HBsAg carriers and patients infected with HBV who were considered as active carriers including patients who developed cirrhosis and HCC. Only two SNPs were found to be significantly associated with progression to more severe liver abnormalities at a nominal p-value level; rs4392270 with a p-value of 0.007 (OR = 1.731, 95% CI = 1.159–2.587), and rs4849133 (p-value = 0.021, OR = 1.583, 95% CI = 1.069–2.345). No significant difference in the genotype and allele distributions of the other SNPs was observed between the inactive group compared to the group of patients considered as active carriers, cirrhosis and HCC (Table 4).
Table 4.
Comparison of genotypic distributions between the inactive group and patients with active HBV, cirrhosis and HCC patients.
| SNPs | Genotype/Allele distribution | Inactive (n = 563) | % | Active, cirrhosis and HCC (n = 311) | % | OR (95% C.I.) | χ² | p-value |
|---|---|---|---|---|---|---|---|---|
| rs2723176 | CC | 518 | 92.01% | 276 | 88.75% | Ref | ||
| AC | 42 | 7.46% | 33 | 10.61% | 1.475 (0.914–2.380) | 2.550 | 0.110 | |
| AA | 3 | 0.53% | 2 | 0.64% | 1.251 (0.208–7.533) | 0.060 | 0.806 | |
| C | 1078 | 95.74% | 585 | 94.05% | 1.420 (0.914–2.206) | 2.460 | 0.117 | |
| A | 48 | 4.26% | 37 | 5.95% | ||||
| AA + AC vs CC | 1.460 (0.917–2.325) | 2.560 | 0.109 | |||||
| AA vs AC + CC | 0.828 (0.138–4.980) | 0.040 | 0.836 | |||||
| rs2723175 | GG | 374 | 66.43% | 217 | 69.77% | Ref | ||
| AG | 156 | 27.71% | 82 | 26.37% | 0.906 (0.661–1.242) | 0.380 | 0.539 | |
| AA | 33 | 5.86% | 12 | 3.86% | 0.627 (0.317–1.239) | 1.830 | 0.176 | |
| G | 904 | 80.28% | 516 | 82.96% | 0.837 (0.648–1.080) | 1.880 | 0.170 | |
| A | 222 | 19.72% | 106 | 17.04% | ||||
| AA + AG vs GG | 0.857 (0.636–1.155) | 1.020 | 0.312 | |||||
| AA vs AG + GG | 1.551 (0.789–3.049) | 1.650 | 0.199 | |||||
| rs2723186 | GG | 509 | 90.41% | 273 | 87.78% | Ref | ||
| AG | 30 | 5.33% | 24 | 7.72% | 1.492 (0.855–2.602) | 2.00 | 0.157 | |
| AA | 24 | 4.26% | 14 | 4.50% | 1.088 (0.554–2.137) | 0.060 | 0.807 | |
| G | 1048 | 93.07% | 570 | 91.64% | 1.226 (0.851–1.766) | 1.200 | 0.274 | |
| A | 78 | 6.93% | 52 | 8.36% | ||||
| AA + AG vs GG | 1.312 (0.845–2.038) | 1.470 | 0.226 | |||||
| AA vs AG + GG | 0.945 (0.481–1.854) | 0.030 | 0.868 | |||||
| rs2723168 | AA | 23 | 4.09% | 12 | 3.86% | Ref | ||
| AG | 537 | 95.38% | 297 | 95.50% | 1.060 (0.520–2.161) | 0.030 | 0.872 | |
| GG | 3 | 0.53% | 2 | 0.64% | 1.278 (0.187–8.720) | 0.060 | 0.802 | |
| A | 583 | 51.78% | 321 | 51.61% | 1.007 (0.828–1.225) | 0.00 | 0.946 | |
| G | 543 | 48.22% | 301 | 48.39% | ||||
| GG + AG vs AA | 1.061 (0.521–2.163) | 0.030 | 0.869 | |||||
| GG vs AG + AA | 0.828 (0.138–4.980) | 0.040 | 0.836 | |||||
| rs4364030 | CC | 268 | 47.60% | 160 | 51.45% | Ref | ||
| CG | 241 | 42.81% | 116 | 37.30% | 0.806 (0.600–1.084) | 2.040 | 0.153 | |
| GG | 54 | 9.59% | 35 | 11.25% | 1.086 (0.680–1.734) | 0.120 | 0.731 | |
| C | 777 | 69.01% | 436 | 70.10% | 0.950 (0.767–1.175) | 0.220 | 0.636 | |
| G | 349 | 30.99% | 186 | 29.90% | ||||
| GG + CG vs CC | 0.857 (0.650–1.131) | 1.190 | 0.276 | |||||
| GG vs CG + CC | 0.837 (0.534–1.312) | 0.610 | 0.436 | |||||
| rs3811047 | GG | 160 | 28.42% | 123 | 39.55% | Ref | ||
| AG | 267 | 47.42% | 151 | 48.55% | 0.736 (0.540–1.001) | 3.820 | 0.051 | |
| AA | 136 | 24.16% | 101 | 32.48% | 0.966 (0.682–1.369) | 0.040 | 0.846 | |
| G | 587 | 52.13% | 397 | 63.83% | 0.968 (0.805–1.165) | 0.120 | 0.733 | |
| A | 539 | 47.87% | 353 | 56.75% | ||||
| AA + AG vs GG | 0.813 (0.613–1.079) | 2.050 | 0.152 | |||||
| AA vs AG + GG | 0.864 (0.641–1.165) | 0.920 | 0.338 | |||||
| rs28947200 | CC | 499 | 88.63% | 272 | 87.46% | Ref | ||
| CT | 49 | 8.70% | 31 | 9.97% | 1.161 (0.723–1.863) | 0.380 | 0.537 | |
| TT | 15 | 2.66% | 8 | 2.57% | 0.978 (0.410–2.337) | 0.00 | 0.961 | |
| C | 1047 | 92.98% | 575 | 92.44% | 1.083 (0.744–1.576) | 0.170 | 0.676 | |
| T | 79 | 7.02% | 47 | 7.56% | ||||
| TT + CT vs CC | 1.118 (0.731–1.709) | 0.260 | 0.606 | |||||
| TT vs CT + CC | 1.037 (0.435–2.473) | 0.010 | 0.935 | |||||
| rs4392270 | GG | 522 | 92.72% | 274 | 88.10% | Ref | ||
| AG | 29 | 5.15% | 25 | 8.04% | 1.642 (0.943–2.860) | 3.130 | 0.077 | |
| AA | 12 | 2.13% | 12 | 3.86% | 1.905 (0.845–4.297) | 2.490 | 0.115 | |
| G | 1073 | 95.29% | 573 | 92.12% | 1.731 (1.159–2.587) | 7.330 | 0.007 | |
| A | 53 | 4.71% | 49 | 7.88% | ||||
| AA + AG vs GG | 1.719 (1.077–2.745) | 5.250 | 0.022 | |||||
| AA vs AG + GG | 0.543 (0.241–1.223) | 2.240 | 0.135 | |||||
| rs4849133 | TT | 463 | 82.24% | 243 | 78.14% | Ref | ||
| CT | 65 | 11.55% | 54 | 17.36% | 1.583 (1.069–2.345) | 5.310 | 0.021 | |
| CC | 35 | 6.22% | 14 | 4.50% | 0.762 (0.402–1.444) | 0.70 | 0.404 | |
| T | 991 | 88.01% | 540 | 86.82% | 1.115 (0.831–1.495) | 0.530 | 0.468 | |
| C | 135 | 11.99% | 82 | 13.18% | ||||
| CC + CT vs TT | 1.296 (0.918–1.829) | 2.170 | 0.141 | |||||
| CC vs CT + TT | 1.406 (0.745–2.656) | 1.110 | 0.291 | |||||
| rs2708973 | GG | 512 | 90.94% | 275 | 88.42% | Ref | ||
| AG | 39 | 6.93% | 26 | 8.36% | 1.241 (0.740–2.082) | 0.670 | 0.412 | |
| AA | 12 | 2.13% | 10 | 3.22% | 1.552 (0.662–3.637) | 1.040 | 0.309 | |
| G | 1063 | 94.40% | 576 | 92.60% | 1.347 (0.909–1.997) | 2.220 | 0.136 | |
| A | 63 | 5.60% | 46 | 7.40% | ||||
| AA + AG vs GG | 1.314 (0.837–2.063) | 1.520 | 0.234 | |||||
| AA vs AG + GG | 0.656 (0.280–1.535) | 0.960 | 0.327 |
Bold indicates significance.
To assess the influence of IL-37 polymorphism on the risk of HBV-mediated liver disease progression to end-stage liver diseases (liver cirrhosis and/or HCC), the genotype and allelic distributions were analyzed between patients actively infected with HBV and the patients diagnosed with liver cirrhosis with and without HCC. The CT genotype of rs4849133 was found to be nominally significantly associated with progressing to cirrhosis (p = 0.047, OR = 1.986, 95% CI = 1.001–3.940) (Table 5), as well as to cirrhosis with HCC (p = 0.025, OR = 1.990, 95% CI = 1.082–3.658) (Table 6). No significant difference in the genotype and allele distributions of the other SNPs were observed between patients infected with HBV characterized as active carriers and patients diagnosed with liver cirrhosis or liver cirrhosis with HCC.
Table 5.
Comparison of genotypic distributions between the active group and patients with cirrhosis.
| SNPs | Genotype/Allele distribution | Active (n = 217) | % | Cirrhosis (n = 64) | % | OR (95% C.I.) | χ² | p-value |
|---|---|---|---|---|---|---|---|---|
| rs2723176 | CC | 195 | 89.86% | 55 | 85.94% | Ref | ||
| AC | 21 | 9.68% | 9 | 14.06% | 1.519 (0.658–3.506) | 0.970 | 0.324 | |
| AA | 1 | 0.46% | 0 | 0.00% | 1.174 (0.047–29.225) | 0.280 | 0.596 | |
| C | 411 | 94.70% | 119 | 92.97% | 1.351 (0.609–2.999) | 0.550 | 0.457 | |
| A | 23 | 5.30% | 9 | 7.03% | ||||
| AA + AC vs CC | 1.450 (0.632–3.330) | 0.780 | 0.378 | |||||
| AA vs AC + CC | 0.894 (0.036–22.206) | 0.30 | 0.586 | |||||
| rs2723175 | GG | 148 | 68.20% | 46 | 71.88% | Ref | ||
| AG | 61 | 28.11% | 14 | 21.88% | 0.738 (0.378–1.441) | 0.790 | 0.373 | |
| AA | 8 | 3.69% | 4 | 6.25% | 1.609 (0.463–5.587) | 0.570 | 0.451 | |
| G | 357 | 82.26% | 106 | 82.81% | 0.962 (0.571–1.620) | 0.020 | 0.885 | |
| A | 77 | 17.74% | 22 | 17.19% | ||||
| AA + AG vs GG | 0.839 (0.454–1.553) | 0.310 | 0.576 | |||||
| AA vs AG + GG | 0.574 (0.167–1.972) | 0.790 | 0.373 | |||||
| rs2723186 | GG | 193 | 88.94% | 55 | 85.94% | Ref | ||
| AG | 15 | 6.91% | 6 | 9.38% | 1.404 (0.520–3.789) | 0.450 | 0.502 | |
| AA | 9 | 4.15% | 3 | 4.69% | 1.170 (0.306–4.470) | 0.050 | 0.818 | |
| G | 401 | 92.40% | 116 | 90.63% | 1.257 (0.629–2.512) | 0.420 | 0.516 | |
| A | 33 | 7.60% | 12 | 9.38% | ||||
| AA + AG vs GG | 1.316 (0.578–2.995) | 0.430 | 0.512 | |||||
| AA vs AG + GG | 0.880 (0.231–3.351) | 0.040 | 0.851 | |||||
| rs2723168 | AA | 9 | 4.15% | 3 | 4.69% | Ref | ||
| AG | 207 | 95.39% | 61 | 95.31% | 0.884 (0.232–3.368) | 0.030 | 0.857 | |
| GG | 1 | 0.46% | 0 | 0.00% | 0.905 (0.029–27.858) | 0.330 | 0.569 | |
| A | 225 | 51.84% | 67 | 52.34% | 0.980 (0.661–1.454) | 0.010 | 0.921 | |
| G | 209 | 48.16% | 61 | 47.66% | ||||
| GG + AG vs AA | 0.880 (0.231–3.351) | 0.040 | 0.851 | |||||
| GG vs AG + AA | 0.894 (0.036–22.206) | 0.30 | 0.586 | |||||
| rs4364030 | CC | 115 | 53.00% | 30 | 46.88% | Ref | ||
| CG | 81 | 37.33% | 25 | 39.06% | 1.183 (0.648–2.160) | 0.30 | 0.584 | |
| GG | 21 | 9.68% | 9 | 14.06% | 1.643 (0.683–3.954) | 1.240 | 0.265 | |
| C | 311 | 71.66% | 85 | 66.41% | 1.279 (0.839–1.951) | 1.310 | 0.252 | |
| G | 123 | 28.34% | 43 | 33.59% | ||||
| GG + CG vs CC | 1.278 (0.731–2.234) | 0.740 | 0.389 | |||||
| GG vs CG + CC | 0.655 (0.284–1.511) | 1.00 | 0.318 | |||||
| rs3811047 | GG | 73 | 33.64% | 19 | 29.69% | Ref | ||
| AG | 84 | 38.71% | 29 | 45.31% | 1.326 (0.687–2.561) | 0.710 | 0.399 | |
| AA | 60 | 27.65% | 16 | 25.00% | 1.025 (0.485–2.164) | 0.00 | 0.949 | |
| G | 230 | 53.00% | 67 | 52.34% | 1.026 (0.692–1.523) | 0.020 | 0.897 | |
| A | 204 | 47.00% | 61 | 47.66% | ||||
| AA + AG vs GG | 1.201 (0.655–2.200) | 0.350 | 0.554 | |||||
| AA vs AG + GG | 1.146 (0.605–2.173) | 0.180 | 0.675 | |||||
| rs28947200 | CC | 194 | 89.40% | 55 | 85.94% | Ref | ||
| CT | 17 | 7.83% | 8 | 12.50% | 1.660 (0.680–4.050) | 1.260 | 0.262 | |
| TT | 6 | 2.76% | 1 | 1.56% | 0.588 (0.069–4.987) | 0.240 | 0.622 | |
| C | 405 | 93.32% | 118 | 92.19% | 1.184 (0.560–2.499) | 0.20 | 0.658 | |
| T | 29 | 6.68% | 10 | 7.81% | ||||
| TT + CT vs CC | 1.380 (0.604–3.155) | 0.590 | 0.443 | |||||
| TT vs CT + CC | 1.791 (0.212–15.160) | 0.290 | 0.587 | |||||
| rs4392270 | GG | 188 | 86.64% | 58 | 90.63% | Ref | ||
| AG | 18 | 8.29% | 5 | 7.81% | 0.900 (0.320–2.531) | 0.040 | 0.842 | |
| AA | 11 | 5.07% | 1 | 1.56% | 0.295 (0.037–2.331) | 1.510 | 0.219 | |
| G | 394 | 90.78% | 121 | 94.53% | 0.570 (0.249–1.305) | 1.810 | 0.178 | |
| A | 40 | 9.22% | 7 | 5.47% | ||||
| AA + AG vs GG | 0.671 (0.265–1.695) | 0.720 | 0.396 | |||||
| AA vs AG + GG | 3.364 (0.426–26.566) | 1.490 | 0.223 | |||||
| rs4849133 | TT | 177 | 81.57% | 46 | 71.88% | Ref | ||
| CT | 31 | 14.29% | 16 | 25.00% | 1.986 (1.001–3.940) | 3.950 | 0.047 | |
| CC | 9 | 4.15% | 2 | 3.13% | 0.855 (0.179–4.094) | 0.040 | 0.844 | |
| T | 385 | 88.71% | 108 | 84.38% | 1.455 (0.829–2.553) | 1.720 | 0.189 | |
| C | 49 | 11.29% | 20 | 15.63% | ||||
| CC + CT vs TT | 1.732 (0.909–3.297) | 2.830 | 0.092 | |||||
| CC vs CT + TT | 1.341 (0.282–6.372) | 0.140 | 0.711 | |||||
| rs2708973 | GG | 190 | 87.56% | 59 | 92.19% | Ref | ||
| AG | 20 | 9.22% | 3 | 4.69% | 0.483 (0.139–1.683) | 1.360 | 0.244 | |
| AA | 7 | 3.23% | 2 | 3.13% | 0.920 (0.186–4.550) | 0.010 | 0.919 | |
| G | 400 | 92.17% | 121 | 94.53% | 0.681 (0.294–1.574) | 0.820 | 0.366 | |
| A | 34 | 7.83% | 7 | 5.47% | ||||
| AA + AG vs GG | 0.596 (0.220–1.618) | 1.050 | 0.306 | |||||
| AA vs AG + GG | 1.033 (0.209–5.102) | 0.00 | 0.968 |
Table 6.
Comparison of genotypic distributions between the active group and patients with cirrhosis and HCC.
| SNPs | Genotype/Allele distribution | Active (n = 217) | % | Cirrhosis + HCC (n = 94) | % | OR (95% C.I.) | χ² | p-value |
|---|---|---|---|---|---|---|---|---|
| rs2723176 | CC | 195 | 89.86% | 81 | 86.17% | Ref | ||
| AC | 21 | 9.68% | 12 | 12.77% | 1.376 (0.647–2.927) | 0.690 | 0.406 | |
| AA | 1 | 0.46% | 1 | 1.06% | 2.407 (0.149–38.956) | 0.410 | 0.523 | |
| C | 411 | 94.70% | 174 | 92.55% | 1.438 (0.723–2.860) | 1.080 | 0.298 | |
| A | 23 | 5.30% | 14 | 7.45% | ||||
| AA + AC vs CC | 1.423 (0.684–2.961) | 0.890 | 0.344 | |||||
| AA vs AC + CC | 0.431 (0.027–6.957) | 0.370 | 0.541 | |||||
| rs2723175 | GG | 148 | 68.20% | 69 | 73.40% | Ref | ||
| AG | 61 | 28.11% | 21 | 22.34% | 0.738 (0.417–1.309) | 1.080 | 0.298 | |
| AA | 8 | 3.69% | 4 | 4.26% | 1.072 (0.312–3.683) | 0.010 | 0.911 | |
| G | 357 | 82.26% | 159 | 84.57% | 0.846 (0.531–1.348) | 0.50 | 0.480 | |
| A | 77 | 17.74% | 29 | 15.43% | ||||
| AA + AG vs GG | 0.777 (0.453–1.333) | 0.840 | 0.359 | |||||
| AA vs AG + GG | 0.861 (0.253–2.933) | 0.060 | 0.811 | |||||
| rs2723186 | GG | 193 | 88.94% | 80 | 85.11% | Ref | ||
| AG | 15 | 6.91% | 8 | 8.51% | 1.448 (0.609–3.443) | 0.710 | 0.401 | |
| AA | 9 | 4.15% | 5 | 5.32% | 1.340 (0.436–4.124) | 0.260 | 0.608 | |
| G | 401 | 92.40% | 168 | 89.36% | 1.366 (0.756–2.470) | 1.070 | 0.300 | |
| A | 33 | 7.60% | 18 | 9.57% | ||||
| AA + AG vs GG | 1.407 (0.693–2.859) | 0.90 | 0.343 | |||||
| AA vs AG + GG | 0.770 (0.251–2.363) | 0.210 | 0.647 | |||||
| rs2723168 | AA | 9 | 4.15% | 3 | 3.19% | Ref | ||
| AG | 207 | 95.39% | 90 | 95.74% | 1.304 (0.345–4.931) | 0.150 | 0.695 | |
| GG | 1 | 0.46% | 1 | 1.06% | 3.00 (0.140–64.262) | 0.530 | 0.468 | |
| A | 225 | 51.84% | 96 | 51.06% | 1.032 (0.733–1.453) | 0.030 | 0.858 | |
| G | 209 | 48.16% | 92 | 48.94% | ||||
| GG + AG vs AA | 1.312 (0.347–4.961) | 0.160 | 0.688 | |||||
| GG vs AG + AA | 0.431 (0.027–6.957) | 0.370 | 0.541 | |||||
| rs4364030 | CC | 115 | 53.00% | 45 | 47.87% | Ref | ||
| CG | 81 | 37.33% | 35 | 37.23% | 1.104 (0.653–1.867) | 0.14 | 0.711 | |
| GG | 21 | 9.68% | 14 | 14.89% | 1.704 (0.798–3.639) | 1.92 | 0.166 | |
| C | 311 | 71.66% | 125 | 66.49% | 1.274 (0.882–1.841) | 1.67 | 0.196 | |
| G | 123 | 28.34% | 63 | 33.51% | ||||
| GG + CG vs CC | 1.228 (0.756–1.993) | 0.690 | 0.406 | |||||
| GG vs CG + CC | 0.612 (0.297–1.264) | 1.790 | 0.181 | |||||
| rs3811047 | GG | 73 | 33.64% | 31 | 32.98% | Ref | ||
| AG | 84 | 38.71% | 38 | 40.43% | 1.065 (0.603–1.881) | 0.050 | 0.827 | |
| AA | 60 | 27.65% | 25 | 26.60% | 0.981 (0.5 24–1.838) | 0.00 | 0.953 | |
| G | 230 | 53.00% | 100 | 53.19% | 0.992 (0.704–1.398) | 0.00 | 0.964 | |
| A | 204 | 47.00% | 88 | 46.81% | ||||
| AA + AG vs GG | 1.030 (0.616–1.723) | 0.010 | 0.909 | |||||
| AA vs AG + GG | 1.055 (0.611–1.820) | 0.040 | 0.848 | |||||
| rs28947200 | CC | 194 | 89.40% | 78 | 82.98% | Ref | ||
| CT | 17 | 7.83% | 14 | 14.89% | 2.048 (0.963–4.356) | 3.580 | 0.059 | |
| TT | 6 | 2.76% | 2 | 2.13% | 0.829 (0.164–4.197) | 0.050 | 0.820 | |
| C | 405 | 93.32% | 170 | 90.43% | 1.479 (0.800–2.735) | 1.570 | 0.210 | |
| T | 29 | 6.68% | 18 | 9.57% | ||||
| TT + CT vs CC | 1.730 (0.868–3.450) | 2.470 | 0.116 | |||||
| TT vs CT + CC | 1.308 (0.259–6.603) | 0.110 | 0.744 | |||||
| rs4392270 | GG | 188 | 86.64% | 86 | 91.49% | Ref | ||
| AG | 18 | 8.29% | 7 | 7.45% | 0.850 (0.342–2.11) | 0.120 | 0.726 | |
| AA | 11 | 5.07% | 1 | 1.06% | 0.199 (0.025–1.564) | 2.890 | 0.089 | |
| G | 394 | 90.78% | 179 | 95.21% | 0.495 (0.235–1.043) | 3.550 | 0.059 | |
| A | 40 | 9.22% | 9 | 4.79% | ||||
| AA + AG vs GG | 0.603 (0.265–1.374) | 1.470 | 0.225 | |||||
| AA vs AG + GG | 4.966 (0.632–39.030) | 2.840 | 0.092 | |||||
| rs4849133 | TT | 177 | 81.57% | 66 | 70.21% | Ref | ||
| CT | 31 | 14.29% | 23 | 24.47% | 1.990 (1.082–3.658) | 5.010 | 0.025 | |
| CC | 9 | 4.15% | 5 | 5.32% | 1.490 (0.482–4.608) | 0.480 | 0.486 | |
| T | 385 | 88.71% | 155 | 82.45% | 1.673 (1.036–2.701) | 4.50 | 0.033 | |
| C | 49 | 11.29% | 33 | 17.55% | ||||
| CC + CT vs TT | 1.877 (1.073–3.285) | 4.950 | 0.026 | |||||
| CC vs CT + TT | 0.770 (0.251–2.363) | 0.210 | 0.647 | |||||
| rs2708973 | GG | 190 | 87.56% | 85 | 90.43% | Ref | ||
| AG | 20 | 9.22% | 6 | 6.38% | 0.671 (0.260–1.730) | 0.690 | 0.406 | |
| AA | 7 | 3.23% | 3 | 3.19% | 0.958 (0.242–3.794) | 0.00 | 0.951 | |
| G | 400 | 92.17% | 176 | 93.62% | 0.802 (0.406–1.586) | 0.40 | 0.525 | |
| A | 34 | 7.83% | 12 | 6.38% | ||||
| AA + AG vs GG | 0.745 (0.336–1.653) | 0.530 | 0.468 | |||||
| AA vs AG + GG | 1.011 (0.256–3.998) | 0.00 | 0.987 |
Haplotype analysis
The haplotype combinations for the IL-37 polymorphisms and their genotypic distribution in HBV-infected patients and the clearance group were determined. The haplotype containing the C allele of rs4364030, A allele of rs3811047, and C allele of rs2723176 (CAC) (Supplementary Fig. 1) was found to be significantly associated with HBV clearance (p < 0.0001, freq. = 0.402) (Table 7). Moreover, the distribution of two haplotypes (GGC and CAA) with lower frequencies was found to be significantly different when comparing patients infected with HBV to the clearance group (p < 0.0001, freq. = 0.313; p < 0.001, freq. = 0.055, respectively) (Table 7).
Table 7.
Haplotype frequencies of IL-37 between the clearance group and patients infected with HBV.
| Haplotypes | Freq. | Case, Control Ratio Counts* | Case, Control Frequencies* | Chi Square | p-value | ||
|---|---|---|---|---|---|---|---|
| rs4364030 | rs3811047 | rs2723176 | |||||
| C | A | C | 0.402 | 748.1: 999.9, 275.4: 524.6 | 0.428, 0.344 | 16.008 | <0.0001 |
| G | G | C | 0.313 | 503.5: 1244.5, 293.4: 506.6 | 0.288, 0.367 | 15.81 | <0.0001 |
| C | G | C | 0.21 | 383.4: 1364.6, 151.9: 648.1 | 0.219, 0.190 | 2.883 | 0.089 |
| C | A | A | 0.055 | 77.6: 1670.4, 62.1: 737.9 | 0.044, 0.078 | 11.724 | <0.001 |
| G | A | C | 0.014 | 28.0: 1720.0, 7.4: 792.6 | 0.016, 0.009 | 1.858 | 0.173 |
*Case = HBV-Infected patients, Control = Clearance group. Bold indicate significance.
Discussion
In the absence of an effective anti-HBV treatment32, there is an urgent need for predictive genetic tools to characterize patients with a higher susceptibility to HBV infection, clearance and to HBV-mediated liver diseases. Such genetic screening could support improved therapeutic outcomes32. It is well-established that host genetic variations are highly important in the development of HCC in HBV-infected patients. Therefore, it is essential to identify biomarkers for high-risk patients for improved management and treatment. Such markers could be useful in predicting tumor aggressiveness, progression and clinical phenotype. Host genetic markers have been identified for colorectal cancer33, breast cancer34 and other types of cancer35.
As immunity plays a pivotal role in the natural course of HBV, the outcome of the infection, and the pathogenesis of liver disease, the genes encoding inflammatory mediators (e.g., TNF-α, TGF-β, and IL-37) may be prospective candidates to predict the progression of HBV-mediated disease severity36,37. Here, we investigated the frequency of genetic variants within the IL-37 gene, a recently discovered immune-suppressive cytokine, and determined the degree of association with HBV infection and different levels of HBV-related pathogenesis progression. More specifically, we were interested in identifying any association between the studied SNPs and spontaneous HBV clearance and/or development of severe forms of HBV-associated disease, such as those involving development of liver complications. Among ten IL-37 SNPs genotyped, our results revealed that the A allele of rs2723175 was strongly associated with the risk of HBV infection and viral clearance. Additionally, rs4849133 showed a suggestive association with risk for being an active HBsAg carrier and for HBV-mediated end-stage liver disease progression.
Increased risks for HBV infection and HBV-related liver disease are primarily influenced by host factors such as age, gender, BMI, and genetic characteristics38,39. In this study, we confirmed the positive influence of these host factors on the increased risk for HBV infection and for HBV-related liver disease. However, on an individual basis, the search for potential predictive genetic risk factors for HBV infection and HBV-mediated end-stage liver disease progression has raised considerable attention in the field of human medical genetics for improved therapeutic management approaches.
In a normal non-infected state, the human liver contains resident antigen-nonspecific immune cells involved in innate immunity, such as natural killer cells, dendritic cells and macrophages named Kupffer cells. The liver also contains cells involved in adaptive immunity including antigen-specific immune T and B cells. Following liver infection with HBV, inflammation occurs due to the production and release of inflammatory cytokines by hepatocytes and immune cells following the binding of the C-terminal domain of HBV core proteins to membrane heparan sulfate on the cell surface19,40. It has been reported that IL-37 inhibits various functions, such as antigen presentation21, macrophage activation41, and cytokine production42. Here, among the ten IL-37 SNPs screened, half show a significant association of susceptibility to HBV infection, including rs2723175, which in our study was found to be strongly disease-associated variants through the heterozygous AG genotype with a dominance of risk allele “A”. Among the ten IL-37 SNPs analyzed in the Saudi population, three SNPs, rs2723176, rs2723186, rs3811047, have been reported to have a genetic predisposition for auto-immune thyroid disease in the Chinese population28. Polymorphisms of other anti-inflammatory cytokines such as IL-10 and IL-4 are also reported to be strongly associated with the outcome of HBV infection43,44.
HBV clearance and clinical recovery occur mainly through the induction of effective intrahepatic virus-specific CD4+ and CD8+ T cells45. Thus, the loss of T-cell activity or a decrease in T-cell ability to produce key antiviral and immune stimulatory cytokines shifts from HBV viral clearance toward HBV viral persistence. In comparison with patients undergoing HBV clearance, two IL-37 polymorphisms (rs2723175 and rs28947200) were strongly associated with HBV infection, suggesting an inhibition of T-cell activity which reinforces the immunosuppressive effects of IL-37. IL-37 has also been demonstrated to inhibit antigen-specific T-cell proliferation46. In addition, IL-37 has been demonstrated to be expressed by immunosuppressive regulatory T cells47, which are correlated with chronic HBV infection and demonstrated to exert an active influence on HBV clearance48. However, six out of ten polymorphisms, including rs4849133, were associated with HBV clearance compared to HBV infection. This strong positive correlation of IL-37 polymorphisms with HBV clearance suggests an inability of IL-37 genetic variants to inactivate T-cell activity and subsequently offering a protective role of IL-37 polymorphisms for HBV clearance. In a normal non-infected person, low levels of steady state IL-37 mRNA and protein are found expressed in monocytes, dendritic cells, and plasma cells. However, under inflammatory conditions, IL-37 gene expression is stimulated with pro-inflammatory cytokines, such as IL-1β, IL-18, TNF-α, IFN-γ, and TGF-β, or Toll-like receptor (TLR) ligands, and downregulated by IL-12, IL-32, and GM-CSF plus IL-4. This immune mechanism suppresses the proinflammatory cytokines IL-1β, IL-1α, IL-6, M-CSF, and GM-CSF but not the anti-inflammatory cytokines IL-10 and IL-1Ra22. Thus, a comparative study of IL-37 genetic variants in patients infected with HBV for IL-37 production, at both the transcript and protein levels, will clarify the role of IL-37 in HBV clearance and persistence.
Globally, inactive HBsAg carriers form the largest group in chronic HBV-infected patients, indicating the tolerogenic status of HBV immunopathogenesis as patients infected with HBV do not display any discernable clinical disease. In contrast to inactive HBsAg carriers, the active carriers contain a high level of serum HBV DNA and circulating serum HBeAg with a high risk for developing liver cirrhosis and HCC. In this study, among the ten genetic variants for the IL-37 gene, only one SNP, rs4849133 with the CT genotype, showed a suggestive association with the risk for active HBsAg carriers compared to patients with inactive HBV infection. These findings are not surprising as the difference between inactive and active carriers based on the viral production of serum HBV DNA copies without involving the host’s innate immune system. However, we previously reported that the haplotype of the CXCR1, a receptor for T-cell chemo-attractant cytokines such as IL-8, named Haplo-2 (AC genotype), was significantly associated with HBsAg carrier status49, confirming the important influence of the adaptive T-cell immune system on the HBsAg carrier status for differences in IL-37. Although a previous study has reported that an increased serum IL-37 in patients with chronic HBV infection was positively correlated with liver damage24, we only identified the SNP rs4849133 CT genotype as being associated with the susceptibility to end-stage liver disease progression in patients infected with HBV when compared to active carriers infected with HBV. Recently, IL-37 has been described to exhibit anti-tumor activity through chemo-attraction of CD57+ natural killer (NK) cells, inhibiting HCC development23. Thus, patients infected with HBV harboring IL-37 SNP rs4849133 might fail in the production of active IL-37 protein, which may explain the increased risk for HCC progression. Furthermore, no mutation within IL-37 gene has been found in all the HCC cases described in The Cancer Genome Atlas - Liver Hepatocellular Carcinoma project (TCGA-LIHC). However, a modulation of the HCC tumor immune milieu including the depletion of neutrophils and activated macrophages, main sources of IL-37, have been recently reported in a TCGA-LIHC subset of HBV/HCV-infected patients only50; which could also explain the decrease of IL-37 production contributing to HCC development and progression.
This study is limited by the fact that the sample sizes in the cirrhosis and HCC groups were small. Also, this study does not include in the final analysis some important factors, such as treatment protocol, treatment outcome and duration of the infection, well known to impact the course of HBV infection. Similarly, survival analyses were not conducted in our study due the cross-sectional feature of this study. Additional studies are required to include such analyses and validate these results. In conclusion, these findings suggest that IL-37 polymorphisms may not only be implicated in the development of HCC but may also be involved in HBV infection and in determining different clinical outcomes of HBV infection, including active chronic HBV infection and low viremic “inactive” HBsAg carrier status.
Supplementary information
Acknowledgements
This work was supported by King Abdulaziz City for Science and Technology (KACST), National Plan for Science, Biotechnology, and Innovation (NSTIP) (Project number 11-MED1430-20). This study was approved by Research Advisory Council (RAC) of King Faisal Specialist Hospital and Research Centre (KFSHRC), project number 2150008. The support of the Research Center administration at KFSHRC is highly appreciated.
Author Contributions
Conceived and designed the experiments: A.A. Al-Q., H.I. Al-A., M.N.Al-A., A.A.A., F.M.S. Performed the experiments: M.R.Al-A., D.D.C., M.F.B. Analyzed the data: M.R.Al-A., S.K.Al-A., S.M.N., J.Al-G., A.A.A., A.Al-B., M.B.S., W.K. Al-H., K.A.Al-S., M.Q.K. Contributed reagents/materials/analysis tools: A.A.A., F.M.S., H.I.Al-A., M.Q.K., J.Al-G., W.K.Al-H., K.A.Al-S., M.Q.K. Wrote the paper: A.A.Al-Q., S.M.N., M.N.Al-A.
Competing Interests
The authors declare no competing interests.
Footnotes
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Supplementary information accompanies this paper at 10.1038/s41598-019-42808-4.
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