Case Control Study Open Access
Copyright ©The Author(s) 2015. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Apr 14, 2015; 21(14): 4232-4239
Published online Apr 14, 2015. doi: 10.3748/wjg.v21.i14.4232
Interleukin-21 gene polymorphisms and chronic hepatitis B infection in a Chinese population
Jia-Yan Yao, Kang Chao, Min-Rui Li, Yan-Qing Wu, Bi-Hui Zhong, Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
Author contributions: Yao JY wrote the manuscript and performed the data analysis; Yao JY, Li MR and Wu YQ performed the majority of experiments; Chao K and Yao JY designed the research; Zhong BH revised the paper.
Supported by National Natural Science Foundation of China, No. 81170392.
Ethics approval: The study was reviewed and approved by the First Affiliated Hospital of Sun Yat-Sen University Institutional Review Board.
Informed consent: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Data sharing: No additional data are available.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Bi-Hui Zhong, MD, PhD, Division of Gastroenterology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58 Zhongshan Road II, Guangzhou 510080, Guangdong Province, China. sophiazhong@medmail.com.cn
Telephone: +86-20-87755766 Fax: +86-20-87332916
Received: October 30, 2014
Peer-review started: October 31, 2014
First decision: November 26, 2014
Revised: December 19, 2014
Accepted: February 16, 2015
Article in press: February 16, 2015
Published online: April 14, 2015
Processing time: 166 Days and 12.9 Hours

Abstract

AIM: To investigate the relationship between interleukin-21 (IL21) gene polymorphisms and chronic hepatitis B virus (HBV) infection in a Chinese population.

METHODS: In this case-control study, 366 Chinese HBV-infected patients were recruited and divided into hepatocellular carcinoma (HCC; n = 94) and non-HCC (n = 272) groups at The First Affiliated Hospital of Sun Yat-Sen University, from April 2009 to December 2012. In the non-HCC group, the patients were classified into three clinical subsets, 76 patients had chronic hepatitis B, 101 were HBV carriers and 95 patients had HBV-related cirrhosis. Two hundred eight unrelated healthy controls were also included. Genomic DNA was extracted from peripheral blood. Single nucleotide polymorphisms (SNPs) rs13143866, rs2221903, and rs907715 were subsequently genotyped using the SNaPshot SNP technique.

RESULTS: There were no significant differences in allele and genotype frequencies of SNPs rs13143866, rs2221903, and rs907715 between chronic HBV-infected patients and control subjects. Furthermore, no significant differences were found in the frequencies of all alleles and genotypes between the HCC group and the non-HCC group. However, in the subgroup analysis, IL21 rs13143866 genotype AA frequency in the HBV carrier group was higher than in controls (OR = 6.280, 95%CI: 1.238-31.854; P = 0.019), and the effect of the recessive model (AA vs GG + GA, OR = 6.505, 95%CI: 1.289-32.828) was observed in the HBV carrier group. IL21 rs2221903 genotype TC frequency in the HBV carrier group was higher than in controls (OR = 1.809, 95%CI: 1.043-3.139; P = 0.035). In the haplotype analysis, the ATA haplotype (rs13143866, rs2221903, and rs907715) of IL21 was more frequent in the HCC group than in the non-HCC group (0.165 vs 0.104, P = 0.044; OR = 1.700, 95%CI: 1.010-2.863).

CONCLUSION: Genotypes rs13143866 AA and rs2221903 TC are risk factors for carrying HBV; ATA haplotype increases the risk of HBV-related HCC onset in a Chinese population.

Key Words: Chinese population; Chronic hepatitis B virus infection; Interleukin-21 gene; rs13143866; rs2221903; rs907715; Single-nucleotide polymorphism

Core tip: This study is the first to investigate the relationship between single nucleotide polymorphism rs13143866 of the interleukin-21 gene and chronic hepatitis B virus (HBV) infection in a Chinese population. We found that genotypes rs13143866 AA and rs2221903 TC were risk factors for carrying HBV, and the ATA haplotype (rs13143866, rs2221903 and rs907715) increased the risk of HBV-related hepatocellular carcinoma.



INTRODUCTION

Approximately one-third of the world’s population has serologic evidence of past or present infection with hepatitis B virus (HBV), and 350-400 million people are chronic HBV surface antigen (HBsAg) carriers. The spectrum of disease and natural history of chronic HBV infection are diverse and variable, ranging from an inactive carrier state to progressive chronic hepatitis B (CHB), which may evolve to cirrhosis and hepatocellular carcinoma (HCC)[1]. An epidemiologic serosurvey of hepatitis B in China showed that the weighted prevalence of HBsAg in the Chinese population aged 1-59 years was 7.2%[2], which indicated that there were approximately 93 million people infected with HBV in China[3].

Interleukin (IL)-21, mainly produced by a range of differentiated CD4+ T-cell subsets, is a relatively recently discovered multifunctional and pleiotropic cytokine[4,5]. It promotes proliferation and accumulation of Ag-specific CD8+ effector T-cells, and increases their survival and cytolytic potential[6]. It also has a significant influence on the regulation of B-cell functions. It promotes the differentiation of antigen-stimulated B cells into memory and antibody-secreting plasma cells, affects IgE production, and induces Ig switch to IgG1 and IgG3 production[7,8]. In addition, it induces the differentiation of naive T cells into Th17 cells, and is involved in the maturation, activation, and survival of natural killer cells[9-11]. Several in vivo studies in animal models have shown that IL-21 is essential for controlling chronic viral infections[12-14]. The adaptive immune response is greatly attenuated in chronic HBV infection. It is likely that the absence of CD4+ T-cells prevents the maturation of a functionally effective CD8+ T-cell response, and is the primary reason for viral persistence[15-18]. Recent investigations have shown that serum levels of IL-21 are increased in CHB patients and associated with severe liver inflammation[19]. The levels of IL-21 expression in the liver tissues are significantly associated with increased degrees of inflammation and fibrosis in CHB patients[20]. High serum IL-21 levels after 12 wk of antiviral therapy predict HBeAg seroconversion in CHB[21]. IL-21 enhances HBcAg-specific interferon-γ+CD8+ T-cell proliferation, whereas treatment with anti-IL-21 inhibits expansion in vitro[22].

Collectively, these findings suggest that IL-21 may play a critical role in HBV infection. However, the precise mechanisms underlying the effects of IL-21 on hepatitis B pathogenesis have not yet been elucidated. Genetic polymorphisms in IL21 have been explored in genetic susceptibility to chronic HBV-infected diseases. One report finds that IL21 rs2221903 TC is less frequent in the HBV patients than in the HBV infection resolvers or in controls[23]. In kidney transplant patients with acute rejection, frequencies of TT homozygote genotype and T allele of IL-21-G1472T (rs2055979) polymorphism and CC homozygote genotype and C allele of IL-21-C5250T (rs4833837) polymorphism are higher in the HBV-infected patients than in the HBV-noninfected patients[24]. Accordingly, this study was conducted to confirm the association of IL21 rs13143866, rs2221903, and rs907715 gene polymorphisms with susceptibility to chronic HBV infection in a Chinese population.

MATERIALS AND METHODS

The study was performed in accordance with the Declaration of Helsinki of the World Medical Association and was approved by The First Affiliated Hospital of Sun Yat-Sen University Institutional Review Board. All patients signed an informed consent form for this investigation.

Subjects

According to the guideline for the prevention and treatment of CHB (2010 version) and the diagnostic criteria (modified during the 10th National Conference on Viral Hepatitis and Hepatopathy 2000, China), 366 independent chronic HBV-infected patients (103 female and 263 male; mean age 48.3 ± 11.8 years) were recruited from The First Affiliated Hospital of Sun Yat-Sen University from April 2009 to December 2012 and were divided into an HCC (n = 94) and non-HCC (n = 272) group. All patients with HCC were confirmed by pathology. The non-HCC group was classified into three clinical subsets, CHB (n = 76), HBV carrier (n = 101), and HBV-related cirrhosis (n = 95). None of the 366 chronic HBV-infected patients had received any antiviral therapy, including nucleoside analogues or interferon, before diagnosis. This study also included 208 geographically and ethnically matched unrelated healthy controls (62 female and 146 male; mean age 48.7 ± 11.3 years). Exclusion criteria included the presence of autoimmune diseases and other liver diseases, such as alcoholic liver disease, silt hemorrhagic liver disease, autoimmune liver disease, and intra-and extrahepatic bile duct stones.

Selection and genotyping of single-nucleotide polymorphisms

For selection of the single-nucleotide polymorphisms (SNPs), Haploview software (http://www.broad.mit.edu/mpg/haploview) was used to perform linkage disequilibrium and haplotype block analyses using HapMap phase genotype data for the chromosomal region 4:123,750,234..123,764,662 (CHB database, HapMap release 27). The amplicon of interest was a 14.4 kb region within IL21 and approximately 3 kb upstream and 3 kb downstream of the gene. Three previously reported SNPs (rs13143866, rs2221903, and rs907715) with minor allele frequency (MAF) ≥ 0.05 were chosen. Genomic DNA from peripheral blood was extracted using a commercially available kit (Tiangen Biotech, Beijing, China) according to the manufacturer’s instructions. SNPs rs13143866, rs2221903, and rs907715 were subsequently genotyped by the SNaPshot SNP technique. Briefly, three segments were amplified using three pairs of forward and reverse primers: 5′-AAGTACCCACTGGACCAACTCA-3′ and 5′-TCTAGCTCTGAACCCAAACACT-3′, 5′-GGACCACATATTGCCAGACAC-3′ and 5′-GACACTGACGCCCATATTGAT-3′, and 5′-CACACTGGCATTGAGATGCTA-3′ and 5′-CCTCTTTTCACTTGGAGCATTC-3′ for rs13143866, rs2221903, and rs907715, respectively. All primers were designed using the Primer3 program (http://frodo.wi.mit.edu/cgi-bin/primer3/primer3_http://www.cgi). Multiplex PCR was carried out using the SNaPshot Multiplex Kit (Applied Biosystems of Thermo Fisher Scientific, Waltham, MA, United States) according to the manufacturer’s instructions. The reaction was performed in a total volume of 20 μL containing 2 μL 10 × PCR buffer (Mg2+-free) (Invitrogen of Thermo Fisher Scientific), 0.8 μL MgCl2 (50 mmol/L; Invitrogen), 0.5 μL dNTP (10 mmol/L; Takara Bio Inc., Shiga, Japan), 0.5 μL Primer Mix, 1 μL DNA, 0.5 μL Platinum Taq (5U; Invitrogen), and 14.2 μL ddH2O. Cycling conditions were as follows: 95 °C for 2 min; 33 cycles of 95 °C for 20 s, 56 °C for 30 s, and 72 °C for 40 s, followed by 72 °C for 5 min. PCR products were purified using shrimp alkaline enzyme (Promega Corp., Madison, WI, United States) and exonuclease I (EpiCentre, Palmerston North, New Zealand) according to the manufacturer’s instructions. Purified PCR products from two panels were mixed and used as a template for extension. Extension was performed in a total volume of 5 μL comprising 2.5 μL of SNaPshot Multiplex reaction mix (Applied Biosystems), 1.5 μL of purified PCR products, 0.7 μL of Probe Mix, and 0.3 μL of GC buffer. Extension was performed under the following conditions: 25 cycles of 96 °C for 10 s, 51 °C for 5 s, and 60 °C for 30 s, and then kept at 4 °C. Extension products were purified using shrimp alkaline enzyme (Promega) and loaded onto an ABI PRISM 3730 DNA Sequencer (Applied Biosystems) for sequencing.

Statistical analysis

Distributions of the allele and genotype frequencies were calculated by the χ2 test or Fisher’s exact test. ORs and 95%CIs of genotype frequencies were adjusted by logistic regression analysis. All analyses were performed using SPSS 16.0 software (SPSS Inc., Chicago, IL, United States). The Hardy-Weinberg equilibrium test and the haplotype analysis were completed by SHEsis software (http://analysis.bio-x.cn/myAnalysis.php). All two-sided P < 0.05 were considered statistically significant.

RESULTS

Demographic data on each group are shown in Table 1. The allele and genotype frequencies of the three SNPs in IL21 in the HBV-infected patients and control subjects are shown in Table 2. The Hardy-Weinberg equilibrium P value in each group was > 0.01.

Table 1 Demographic data for all groups.
GroupsSex(M/F)P value1P value2Age (yr)P value1P value2
HBV infection263/1030.67248.3 ± 11.80.657
HCC64/300.7130.34548.8 ± 12.20.9350.589
non-HCC199/730.47348.1 ± 11.70.544
Carrier71/240.41647.9 ± 11.30.570
CHB58/180.31046.5 ± 11.00.151
Cirrhosis70/311.00049.4 ± 12.60.621
Control146/6248.7 ± 11.3
Table 2 Comparison of interleukin-21 polymorphisms between chronic hepatitis B virus-infected patients and controls n (%).
PolymorphismHBV infection (n = 366)Control (n = 208)P valueOR (95%CI)
rs13143866
Allele frequencyAllele G621 (85.5)363 (87.3)Reference
Allele A111 (14.5)53 (12.7)0.2591.224 (0.861-1.741)
Genotype frequency1GG266 (72.7)157 (75.5)Reference
GA89 (24.3)49 (23.5)0.7340.933 (0.625-1.392)
AA11 (3.0)2 (1.0)0.29020.308 (0.067-1.408)
HWE0.2940.391
Recessive modelGG + GA355 (97.0)206 (99.0)Reference
AA11 (3.0)2 (1.0)0.14923.195 (0.701-14.493)
Dominant modelGG266 (72.7)157 (75.5)Reference
AA + GA100 (27.3)51 (24.5)0.4631.157 (0.783-1.711)
rs2221903
Allele frequencyAllele T632 (86.3)373 (89.7)Reference
Allele C100 (13.7)43 (10.3)0.1011.373 (0.939-2.006)
Genotype frequency1TT272 (74.3)167 (80.3)Reference
TC88 (24.1)39 (18.7)0.1301.385 (0.907-2.116)
CC6 (1.6)2 (1.0)0.26221.842 (0.367-9.232)
HWE0.7120.868
Recessive modelTT+TC360 (98.4)206 (99.0)Reference
CC6 (1.6)2 (1.0)0.71721.715 (0.342-8.547)
Dominant modelTT272 (74.3)167 (80.3)Reference
CC + TC94 (25.7)41 (19.7)0.1051.408 (0.930-2.130)
rs907715
Allele frequencyAllele G415 (56.7)234 (56.2)Reference
Allele A317 (43.3)182 (43.8)0.8840.982 (0.770-1.252)
Genotype frequency1GG110 (30.0)70 (33.7)Reference
GA195 (53.3)94 (45.2)0.1601.320 (0.896-1.945)
AA61 (16.7)44 (21.1)0.1550.882 (0.540-1.440)
HWE0.1040.238
Recessive modelGG + GA305 (83.3)164 (78.8)Reference
AA61 (16.7)44 (21.2)0.1810.746 (0.484-1.148)
Dominant modelGG110 (30.1)70 (33.7)Reference
AA + GA256 (69.9)138 (66.3)0.3721.181 (0.820-1.699)
Association between IL21 polymorphisms and HBV infection

Although there was no statistically difference, our data showed a tendency that SNP rs2221903 was associated with an increased risk of chronic HBV infection. The frequency of allele C was 13.7% in the chronic HBV infection group and 10.3% in the control group. Furthermore, the effect of the dominant model was observed (Table 2).

Association between IL21 polymorphisms and HCC

No significant differences were found in the frequencies of all alleles and genotypes (rs13143866, rs2221903, and rs907715) between the HCC group and the non-HCC group (Table 3).

Table 3 Interleukin-21 polymorphisms among chronic hepatitis B virus-infected patients with hepatocellular carcinoma, patients without hepatocellular carcinoma, and controls n (%).
PolymorphismHCCnon-HCCControlHCC vs non-HCC
HCC vs Control
non-HCC vs Control
(n = 94)(n = 272)(n = 208)P valueOR (95%CI)P valueOR (95%CI)P valueOR (95%CI)
rs13143866
Allele frequencyAllele G167 (88.8)454 (83.5)363 (87.3)ReferenceReferenceReference
Allele A21 (11.2)90 (16.5)53 (12.7)0.0781.576 (0.949-2.617)0.5860.861 (0.503-1.474)0.1021.358 (0.941-1.958)
Genotype frequency1GG74 (78.7)192 (70.6)157 (75.5)ReferenceReferenceReference
GA19 (20.2)70 (25.7)49 (23.5)0.2311.420 (0.800-2.520)0.5220.823 (0.453-1.495)0.4701.168 (0.766-1.781)
AA1 (1.1)10 (3.7)2 (1.0)0.29823.854 (0.485-30.637)1.00021.061 (0.095-11.886)0.07414.089 (0.883-18.934)
HWE0.8570.2620.391
Recessive modelGG + GA93 (98.9)262 (96.3)206 (99.0)ReferenceReferenceReference
AA1 (1.1)10 (3.7)2 (1.0)0.23020.282 (0.036-2.231)1.00021.108 (0.099-12.367)0.07713.931 (0.852-18.139)
Dominant modelGG74 (78.7)192 (70.6)157 (75.5)ReferenceReferenceReference
AA + GA20 (21.3)80 (29.4)51 (24.5)0.1291.542 (0.882-2.695)0.5390.832 (0.463-1.495)0.2341.283 (0.852-1.932)
rs2221903
Allele frequencyAllele T163 (86.7)469 (86.2)373 (89.7)ReferenceReferenceReference
Allele C25 (13.3)75 (13.8)43 (10.3)0.8661.043 (0.641-1.696)0.2881.330 (0.786-2.252)0.1081.387 (0.931-2.067)
Genotype frequency1TT70 (74.5)202 (74.3)167 (80.3)ReferenceReferenceReference
TC23 (24.5)65 (23.9)39 (18.7)0.9400.979 (0.566-1.694)0.0751.668 (0.949-2.932)0.1601.378 (0.881-2.154)
CC1 (1.1)5 (1.8)2 (1.0)0.69621.733 (0.199-15.087)1.00021.193 (0.106-13.369)0.46612.067 (0.396-10.790)
HWE0.5540.9310.868
Recessive modelTT + TC93 (98.9)267 (98.2)206 (99.0)ReferenceReferenceReference
CC1 (1.1)5 (1.8)2 (1.0)0.69621.742 (0.201-15.101)1.00021.108 (0.099-12.367)0.47911.929 (0.700-10.042)
Dominant modelTT70 (74.5)202 (74.3)167 (80.3)ReferenceReferenceReference
CC + TC24 (25.5)70 (25.7)41 (19.7)0.9690.989 (0.578-1.693)0.2561.397 (0.785-2.484)0.1221.411 (0.912-2.184)
rs907715
Allele frequencyAllele G106 (56.4)309 (56.8)234 (56.2)ReferenceReferenceReference
Allele A82 (43.6)235 (43.2)182 (43.8)0.9200.983 (0.704-1.374)0.9760.995 (0.703-1.408)0.8640.978 (0.756-1.265)
Genotype frequency1GG25 (26.6)85 (31.2)70 (33.7)ReferenceReferenceReference
GA56 (59.6)139 (51.1)94 (45.2)0.2560.730 (0.424-1.257)0.1350.598 (0.305-1.173)0.3471.218 (0.808-1.836)
AA13 (13.8)48 (17.7)44 (21.1)0.8311.086 (0.509-2.317)0.0620.827 (0.383-1.785)0.6850.898 (0.536-1.507)
HWE0.0410.4960.238
Recessive modelGG + GA81 (86.2)224 (82.4)164 (78.8)ReferenceReferenceReference
AA13 (13.8)48 (17.6)44 (21.2)0.3931.335 (0.688-2.592)0.1350.598 (0.305-1.173)0.3340.799 (0.506-1.260)
Dominant modelGG25 (26.6)85 (31.3)70 (33.7)ReferenceReferenceReference
AA + GA69 (73.4)187 (68.7)138 (66.3)0.3970.797 (0.472-1.347)0.2221.400 (0.816-2.403)0.5771.116 (0.759-1.640)
Association between IL21 polymorphisms and HBV infection subgroups

The distribution of genotypes and alleles of IL21 rs907715 polymorphisms showed no significant difference among HBV carriers, patients with CHB, patients with HBV-related cirrhosis, and healthy controls. However, IL21 rs13143866 and rs2221903 polymorphisms were differently distributed between the HBV carrier group and controls (Table 4). IL21 rs13143866 genotype AA frequency in the HBV carrier group was higher than in controls (5.9% vs 1.0%, P = 0.019), and the effect of the recessive model (AA vs GG + GA, P = 0.017) was observed in the HBV carrier group. IL21 rs2221903 genotype TC frequency in the HBV carrier group was higher than in controls (29.7% vs 18.7%, P = 0.035).

Table 4 Interleukin-21 polymorphisms among non-hepatocellular carcinoma subgroups and controls n (%).
PolymorphismCarrierCHBCirrhosisControlCarrier vs control
CHB vs control
Cirrhosis vs control
(n = 101)(n = 76)(n = 95)(n = 208)P valueOR (95%CI)P valueOR (95%CI)P valueOR (95%CI)
rs13143866
Allele frequencyAllele G170 (84.2)128 (84.2)156 (82.1)363 (87.3)ReferenceReferenceReference
Allele A32 (15.8)24 (15.8)34 (17.9)53 (12.7)0.2941.289 (0.802-2.073)0.3481.284 (0.761-2.166)0.0951.493 (0.933-2.388)
Genotype frequencyGG75 (74.3)53 (69.7)64 (67.4)157 (75.5)ReferenceReferenceReference
GA20 (19.8)22 (28.9)28 (29.5)49 (23.5)0.6000.854 (0.474-1.539)0.3451.330 (0.736-2.403)0.2271.402 (0.811-2.424)
AA6 (5.9)1 (1.3)3 (3.1)2 (1.0)0.01916.280 (1.238-31.854)1.00011.481 (0.132-16.666)0.15613.680 (0.601-22.544)
HWE0.010.440.9770.391
Recessive modelGG + GA95 (94.1)75 (98.7)92 (96.8)206 (99.0)ReferenceReferenceReference
AA6 (5.9)1 (1.3)3 (3.2)2 (1.0)0.01716.505 (1.289-32.828)1.00011.373 (0.123-15.367)0.33013.359 (0.552-20.441)
Dominant modelGG75 (74.3)53 (69.7)64 (67.4)157 (75.5)ReferenceReferenceReference
AA + GA26 (25.7)23 (30.3)31 (32.6)51 (24.5)0.8161.067 (0.618-1.843)0.3301.336 (0.746-2.392)0.1421.491 (0.875-2.540)
rs2221903
Allele frequencyAllele T172 (85.1)130 (85.5)167 (87.9)373 (89.7)ReferenceReferenceReference
Allele C30 (14.9)22 (14.5)23 (12.1)43 (10.3)0.1051.513 (0.918-2.495)0.1721.468 (0.846-2.547)0.5171.195 (0.697-2.046)
Genotype frequencyTT71 (70.3)56 (73.7)75 (78.9)167 (80.3)ReferenceReferenceReference
TC30 (29.7)18 (23.7)17 (17.9)39 (18.7)0.0351.809 (1.043-3.139)0.3241.367 (0.729-2.598)0.9260.971 (0.516-1.825)
CC0 (0.00)2 (2.6)3 (3.2)2 (1.0)-20.57512.982 (0.410-21.668)0.33013.340 (0.547-20.405)
HWE0.0800.7050.1210.868
Recessive modelTT + TC101 (100.0)74 (97.4)92 (96.8)206 (99.0)ReferenceReferenceReference
CC0 (0.0)2 (2.6)3 (3.2)2 (1.0)-20.57712.784 (0.385-20.120)0.33013.359 (0.552-20.441)
Dominant modelTT71 (70.3)56 (73.7)75 (78.9)167 (80.3)ReferenceReferenceReference
CC + TC30 (29.7)20 (26.3)20 (21.1)41 (19.7)0.0521.721 (0.996-2.973)0.2321.455 (0.787-2.689)0.7871.086 (0.596-1.979)
rs907715
Allele frequencyAllele G115 (56.9)89 (58.6)105 (55.3)234 (56.2)ReferenceReferenceReference
Allele A87 (43.8)63 (41.4)85 (44.7)182 (43.8)0.8730.973 (0.693-1.366)0.6240.910 (0.625-1.326)0.8201.041 (0.737-1.470)
Genotype frequencyGG33 (32.7)24 (3.16)28 (29.5)70 (33.7)ReferenceReferenceReference
GA49 (48.5)41 (53.9)49 (51.6)94 (45.2)0.7151.106 (0.645-1.896)0.4251.272 (0.704-2.298)0.3521.303 (0.746-2.277)
AA19 (18.8)11 (14.5)18 (18.9)44 (21.1)0.8000.916 (0.465-1.806)0.4430.729 (0.325-1.634)0.9501.023 (0.507-2.064)
HWE0.9140.3310.6740.238
Recessive modelGG + GA82 (81.2)65 (85.5)77 (81.1)164 (78.8)ReferenceReferenceReference
AA19 (18.8)11 (14.5)18 (18.9)44 (21.2)0.6320.864 (0.474-1.573)0.2100.631 (0.307-1.296)0.6590.871 (0.473-1.606)
Dominant modelGG33 (32.7)24 (31.6)28 (29.5)70 (33.7)ReferenceReferenceReference
AA + GA68 (67.3)52 (68.4)67 (70.5)138 (66.3)0.8641.045 (0.630-1.733)0.7421.099 (0.626-1.929)0.4711.214 (0.717-2.055)
Haplotype analysis

The results showed that the ATA haplotype (rs13143866, rs2221903, and rs907715) was significantly associated with HBV-related HCC and appeared to be a risk haplotype (P = 0.044) (Table 5).

Table 5 Haplotype analysis of polymorphisms.
Haplotype1Frequencyχ2P valueOR95%CI
HBV infectionControl
A-T-A0.1500.1271.1170.2911.2090.850-1.720
G-C-G0.1370.1032.7250.0991.3760.941-2.011
G-T-A0.2830.310.8830.3470.8820.678-1.147
G-T-G0.4290.4590.9590.3270.8860.695-1.129
HCCnon-HCC
A-T-A0.1650.1044.0570.0441.7001.010-2.863
G-C-G0.1380.1330.0170.9001.0330.635-1.681
G-T-A0.2670.3333.2260.0720.0720.503-1.031
G-T-G0.4300.4230.0090.9261.0160.726-1.422
DISCUSSION

In this study, we analyzed allele and genotype frequencies at three SNPs of the IL21 gene in 366 chronic HBV-infected patients and 208 healthy controls in a Chinese population. The intronic SNPs may not be the actual risk mutation, but they are likely to be a surrogate marker for a mutation with functional consequences. The intronic SNPs may be in high linkage disequilibrium with a variant that associates with translation of the mRNA[25]. In other words, they may associate with protein expression. For example, synonymous SNPs have a substantial contribution to human disease risk and other complex traits[26]. Literature reports explored IL21 rs907715 and rs2221903 and IL21R T-83C and rs3093301 polymorphisms in chronic HBV-infected patients, and IL17 rs2275913, IL23R rs10889677, IL21 rs4833837, and IL21 rs2055979 polymorphisms in kidney transplant patients with HBV infection[23,24].

The statistical difference in genotype frequencies in the recessive model (AA vs GG + GA) of SNP rs13143866 showed that the A allele, when present in homozygotes, was a risk factor for carrying HBV. Furthermore, IL21 rs13143866 genotype AA frequency in the HBV carrier group was higher than that in controls. In other studies, rs13143866 was associated with recurrent idiopathic spontaneous miscarriage[27], juvenile idiopathic arthritis[28], and lupus[29]. Thus, rs13143866 is likely a key genetic factor in both autoimmune diseases and chronic HBV-infected diseases.

Previous studies showed a significant association between rs2221903 and systemic lupus erythematosus (SLE) in the Chinese, European-American, and African-American populations[25,29,30]. Although there was no statistical difference, our data showed that this SNP is also associated with an increased risk of chronic HBV infection. The frequency of allele C was 13.7% in the chronic HBV infection group and 10.3% in the control group. In the subgroup analysis, the frequency of the TC genotype in the HBV carrier group was higher than that in controls. However, Li et al[24] found the opposite result, where the C frequency in HBV-infected patients was lower than in controls (8.1% vs 12.4%, P = 0.023, OR = 0.625, 95%CI: 0.415-0.941) and the TC genotype was less frequent in HBV-infected patients than in controls (16.2% vs 24.7%, P = 0.017, OR = 0.589, 95%CI: 0.381-0.911). Several potential explanations need to be considered. Firstly, the regulatory mechanisms of IL21 intronic SNPs are still not clear. Secondly, chronic HBV infection is a complex complication related to other genetic and environmental factors[3].

Our data found no significant association between rs907715 and chronic HBV infection, which is consistent with Li et al[24]. The association between this SNP and immune disease has been widely investigated, though the findings are controversial. In a Chinese population, rs907715 was associated with Graves’ disease[31] rather than SLE[25], and the two studies had a similar sample size. This discrepancy may be attributable to different diseases. Two studies investigated the same disease in an African-American population. Hughes et al[21] found that G allele increased the risk of SLE, but Sawalha et al[29] drew the opposite conclusion. These findings require further replication in other independent cohorts of chronic HBV-infected patients.

The data regarding ATA haplotype frequency (rs13143866, rs2221903, and rs907715) in HCC patients compared to non-HCC patients showed that this haplotype may be a risk for HBV-related HCC. This result suggests that the haplotype, according to the IL21 polymorphisms, might be one of the most important genetic factors for susceptibility to HBV-related HCC.

In conclusion, our study demonstrates that genotypes rs13143866 AA and rs2221903 TC are risk factors for carrying HBV, and ATA haplotype increase the risk of HBV-related HCC onset in a Chinese population. However, further studies are needed to determine the associations and functional consequences of these polymorphisms in chronic HBV-infection susceptibility.

COMMENTS
Background

The pathogenesis of chronic hepatitis B virus (HBV) infection is complicated, and the adaptive immune response plays a significant role in the pathophysiologic process. Interleukin (IL)-21 is a relatively recently discovered multifunctional and pleiotropic cytokine. Recently, investigations have shown that the serum level of IL-21 was increased in chronic hepatitis B patients and associated with severe liver inflammation. Genetic polymorphisms in IL21 have been explored concerning genetic susceptibility to autoimmune and chronic HBV-infected diseases.

Research frontiers

The relationship between single-nucleotide polymorphisms (rs13143866, rs2221903, and rs907715) and autoimmune disease varies in different ethnicities. Therefore, studies performed using the same procedures and methods and enrolling more ethnic groups are required. In addition, further studies are needed to determine the associations and functional consequences of these polymorphisms in chronic HBV-infection susceptibility.

Innovations and breakthroughs

This is the first published study to investigate the relationship between the IL21 rs13143866 polymorphism and chronic HBV-infection susceptibility.

Applications

Physicians should pay more attention to individuals who have the rs13143866 AA or rs2221903 TC genotype, or ATA haplotype (rs13143866, rs2221903 and rs907715), and provide early intervention before chronic HBV infection develops and leads to hepatocellular carcinoma.

Terminology

Single-nucleotide polymorphisms refer to DNA sequence polymorphisms at the genomic level caused by a single nucleotide mutation. HBV is a DNA virus, which belongs to the hepatotropic DNA virus (Hepadnairidae) group, and causes hepatitis B disease.

Peer-review

In this study, authors investigated the relationship between three single-nucleotide polymorphisms in IL21 and chronic HBV infection in a Chinese population. They found that the rs13143866 A allele increases the risk of HBV infection and ATA haplotype (rs13143866, rs2221903, and rs907715) increases the risk of HBV-related hepatocellular carcinoma.

Footnotes

P- Reviewer: Gao CM, Zouiten-Mekki L S- Editor: Ma YJ L- Editor: AmEditor E- Editor: Ma S

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