Interleukin 28B rs12979860 CT, rs12980275 GA, rs8099917 GT and TT genotypes are the Predictors of Rapid Viral Response in Hepatitis C Virus-Infected Patients
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Research Article
P: 97-102
December 2016

Interleukin 28B rs12979860 CT, rs12980275 GA, rs8099917 GT and TT genotypes are the Predictors of Rapid Viral Response in Hepatitis C Virus-Infected Patients

Viral Hepat J 2016;22(3):97-102
1. Gaziosmanpasa University Faculty Of Medicine, Department Of Medical Biology, Tokat, Turkey
2. Antalya Training And Research Hospital, Clinic Of Internal Medicine, Allergy And Clinical Immunology Unit, Antalya, Turkey
3. Samsun Training And Research Hospital, Clinic Of Infectious Diseases And Clinical Microbiology, Samsun, Turkey
4. Antalya Training And Research Hospital, Clinic Of Pathology, Antalya, Turkey
5. Gaziosmanpasa University Faculty Of Medicine, Department Of Infectious Diseases And Clinical Microbiology, Tokat, Turkey
No information available.
No information available
Received Date: 16.09.2016
Accepted Date: 18.11.2016
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ABSTRACT

Objective: In this study, the effects of genotypic differences on the clinical course of the disease, response to treatment and fibrosis were investigated in patients with hepatitis C virus (HCV) infection.

Materials and Methods:

Ninety-nine chronic HCV-infected patients and 95 controls were enrolled. The patients received pegylated interferon (PegIFN) + ribavirin (RBV) for 48 weeks and followed up for the next 48 weeks. Aspartate aminotransferase/platelet ratio index was used to determine the stage of liver fibrosis. DNA specimens were extracted from peripheral blood mononuclear cells and the interleukin (IL) 28B gene rs12979860, rs12980275, and rs8099917 were genotyped by the immune polymerase chain reaction-restriction fragment length polymorphism method. Results were analysed using the SPSS 16.0 and OpenEpi 2.2 softwares.

Results:

All patients had HCV genotype 1. Among the 99 HCV+ patients, in 26.3% spontaneous viral clearance, in 42.8% rapid viral response, 92% early viral response and in 72.6% sustained viral response was observed. The allele frequencies of IL28B single nucleotide polymorphisms (SNP), rs12979860, rs12980275, and rs8099917 were not identical in all samples (p<0.005). SNP rs12979860 CT genotype (p=0.010); rs12980275 GA genotype (p=0.010); and rs8099917 GT and TT genotypes (p=0.019 and 0.020, respectively) were strongly associated with rapid viral response in the overall sample.

Conclusion:

The determination of IL28B polymorphisms may be useful to individualize treatment options when using PEG/RBV-based therapies for chronic HCV infection but genetic characteristics of populations of the countries must be known.

Introduction

Hepatitis C virus (HCV) is the etiological factor for hepatitis C, which is one of the most important pathogenic factors of chronic liver diseases, cirrhosis and, even hepatocellular carcinoma. When infected with HCV, only a small proportion of patients clear the virus spontaneously and the majority develops chronic hepatitis C (CHC) (1). There are viral and host factors that are important in the development of chronic infection. Baseline viral load, rapid virologic response (RVR) and host characteristics (e.g. alcohol consumption, steatosis, liver fibrosis, metabolic syndrome, ethnicity, and host genetic polymorphisms) are the examples that have impact on chronicity (2).

Hepatocytes are the target cell of the virus. After infection, the innate immune system reacts to the virus and after 4 to 8 weeks, CD8+ T cells recognize viral peptides bound to human leukocyte antigen class 1 molecules on virus-infected hepatocytes. This initiates signaling pathways that lead to the synthesis of interferon (IFN) and a variety of other cytokines. IFN-lambda3 (λ3) belongs to the type 3 IFN family (IFN-λ). IFN-λ is rapidly induced during HCV infection and has antiviral activity against HCV (3,4). The virus is eliminated during the acute phase of the infection by T cell-mediated antiviral mechanisms. The rate of spontaneous viral clearance in acute HCV infection is approximately 26% (range: 15%-40%) (5,6,7). In the remaining patients who do not defeat the virus at first glance, HCV persists for decades unless treated. Until recently, the effective treatment of chronic HCV infection includes pegylated interferon (PegIFN) and ribavirin (RBV) regimen (1). IFN, especially IFN-λ3 interacts with its acceptor, a heterodimer [IFN- λR1 x interleukin (IL)-10R2]. Even the most perfect therapeutic molecules (PegIFN+RBV) do not guarantee 100% efficacy and sustained virologic response (SVR) remains 40% (2,8).

There are variations that contribute to therapeutic success of HCV infection. Genotype of HCV is the most important parameter that has impact on treatment response. Genotype 1 is regarded as “difficult-to-treat” (2). According the HCV genotypes involved, SVR rates of genotypes 2, 3, 5 and 6 is 70%-90%, but it is less than 50% for genotypes 1 and 4 (1,9,10). Two postdoctoral thesis including 500 and 115 patients (11,12) conducted in Turkey revealed that HCV genotype 1b was the most common (81.7-90%), followed by genotype 1a (5.2-7.2%).

Besides HCV genotype, host genetic background could impact HCV infection, viral clearance, and treatment. Although studies demonstrated associations between cytokine gene polymorphisms and outcome of HCV infection, no general consensus has been reached, possibly due to differences between ethnic groups. Four recent studies (13,14,15,16) demonstrated that predictive role of single nucleotide polymorphisms (SNPs) of the IL28B locus was more likely to be associated with spontaneous viral clearance and treatment effectiveness of HCV in genotype 1 patients who were cured by PegIFN combined with RBV: IL28B rs12979860 C (good-response allele) versus T (poor-response allele) and rs809917 T (good-response allele) versus G (poor-response allele) showed the strongest association with SVR.

SNPs of the IL28B gene has been extensively described in the literature but allele frequencies, in particular rs809917, differs somewhat between world-wide populations (17,18,19,20). Therefore, the predictive power of SNPs may vary between different cohorts. For example rs809917 was only a weak predictor of SVR in African-American patients (13). The aim of this study was to examine the prevalence and clinical significance of the outlined SNPs in a population from Turkey, a region with a high prevalence of HCV infection and a high prevalence of genotype 1b.

Materials and Methods

A total of 99 HCV-infected patients (26 spontaneous clearance and 73 chronic HCV genotype 1b patients) and 95 healthy control subjects were included in the study by Gaziosmanpaşa University Faculty of Medicine, Department of Infectious Diseases and Clinical Microbiology. CHC patients, who had received weekly injections of PegIFNepartment of Infectious Diseases and Clinical Microbiology. CHC patients, who had received weegIFNepartment of Infectious Diseases and Clinical Microbiology. CHC paegIFNepartment of Infectious Diseases and Clinical Microbio.5 μg/kg body weight. Ribavirin was orally administered daily in two divided doses (1.000 mg for ≤75 kg, 1.200 mg for >75 kg) (21).

Genomic DNA was extracted from blood samples using an Invitrogen Genomic DNA Isolation Mini Kit K1820-02 (Invitrogen Life Technologies, Carlsbad, CA, USA). Polymerase chain reaction (PCR) of rs12979860, rs12980275, and rs8099917 polymorphisms of IL28B gene were performed in a total volume of 25 μL, using 100 ng of genomic DNA with 20 pmol primers each (for rs12979860 F:5′-AGG GCC CCT AAC CTC TGC ACA GTC T-3′, R: 5′- GCT GAG GGA CCG CTA CGT AAG TCA CC-3′; for rs12980275 F:5′- GAG AGC AAG AGG AGG GAA GGA A-3′, R: 5′-GTG TGC CAT TAG CCA GTC AGA T-3′; and for rs8099917 F:5′-TTC ACC ATC CTC CTC TCA TCC CTC AT -3′, R: 5′- TCC TAA ATT GAC GGG CCA TCT GTT TC-3′), 0.2 mM each dNTP, 1X buffer, 2 mM MgCl2 and 1 U Taq DNA polymerase (Invitrogen Life Technologies, Carlsbad, CA, USA). Cycling was performed in a Techne TC-4000 Thermal Cycler (Bibby Scientific Limited, Staffordshire, UK) as follows: amplification consisted of a 2-minute denaturation step at 94 °C; 40 cycles for 60 seconds at 94 °C, 40 seconds at 58 °C, 60 seconds at 72 °C and final extension of 7 minutes at 72 °C followed by cooling to 4 °C.

Genotype analysis of three IL28B gene loci (rs12979860, rs12980275 and rs8099917) was conducted using restriction fragment length polymorphism for all three polymorphic loci. PCR products were digested with specific restriction enzymes: BstU I for rs12979860, Bsl I for rs12980275, and Mae III for rs8099917. The digested PCR products were resolved by electrophoresis on 2.5% agarose gels containing 0.5 μg/mL ethidium bromide. Restriction fragments were visualized with the use of a Vilber-Lourmat Gel Quantification and Documentation System QUANTUM-ST4 (Vilber Lourmat BP 66 Torcy, France).

Statistical Analysis

Statistical analysis was performed by SPSS 16.0 Software (SPSS Inc., Chicago, IL, USA). The distribution of IL28B gene polymorphisms between HCV patients and healthy controls and their deviations from Hardy-Weinberg equilibrium were compared by using the Fisher’s exact chi-square test. A p value of less than 0.05 was considered statistically significant.

Odds ratios (ORs) and 95% confidence intervals (CIs) were used to determine the association of IL28B allelic and genotypic variants, compound genotypes and haplotypes with the occurrence of HCV disease were also calculated by Win PEPI version 11.39 software.

Results

Seventy-four patients completed treatment with PegIFN-a plus RBV (two patients could not receive the treatment because of the side effects). There was no significant difference between the patient and the control group in terms of age, gender, and viral genotype (p>0.05). Genotype and allele frequencies are given in Table 1. SNP rs12979860 C allele (OR, 0.56; 95% CI, 0.37-0.83; p<0.005) and CC genotype (OR, 0.42; 95% CI, 0.23-0.77; p<0.006); rs12980275 A allele (OR, 0.57; 95% CI, 0.38-0.87; p<0.009) and GG genotype (OR, 3.96; 95% CI, 1.41-11.12; p<0.007); rs8099917 T allele (OR, 0.56; 95% CI, 0.36-0.88; p<0.014) and TT genotype (OR, 0.50; 95% CI, 0.28-0.87; p<0.022) were strongly associated with the disease development compare to controls.

To evaluate the clinical applicability of individual SNPs, we calculated the predictive ORs for each SNP between rapid RVR, early virologic response, and SVR (Table 2, 3, 4). There were 25 patients who had spontaneous viral clearance. Rapid viral response was seen in 27 patients who had SNP rs12979860 CT genotype (p=0.010), rs12980275 GA genotype (p=0.010), and both rs8099917 GT and TT genotypes (p=0.019, p=0.020, respectively) predicted the most positive response to treatment outcome in the overall study population.

We did not find any difference between aspartate aminotransferase/platelet ratio index (APRI) and genotype frequencies.

Discussion

HCV infection is a major health problem worldwide. The virus is the main cause of chronic hepatitis and liver cirrhosis. Studies on entire viral genomes split HCV into seven major genotypes (22). The HCV genotype 1 is the most prevalent genotype worldwide (46% of all HCV cases), followed by genotype 3 (30%) but the distribution of these genotypes are different between countries (23).

Human hepatocytes are the primary target cell for HCV infection. The first line of immune defense comprises activation of innate immunity following HCV recognition. Local production of IFNs disrupts HCV genome replication and spreading in the liver parenchyma (24). The rate of the treatment of chronic HCV infection (SVR) varies under the influence of ethnicity. For example, it was found that patients of European ancestry were cured more successfully than patients of African ancestry (25).

Besides ethnicity, genetic polymorphism of certain genes influences treatment response. A cohort study with 1000 patients infected with HCV genotype 1 revealed that carrying the IL28B rs12979860 CC genotype was associated with two-fold chance of SVR compared to TT genotype (13). Its effect has been shown in HCV+HIV co-infected patients as well (25,26). This CC genotype was also reported to be associated with a higher rate of spontaneous clearance in European and Asian populations (20,27). On the other hand, these significant SNPs observed in Europe and Asia were not strongly associated with Japanese population (17). Moreover, it was found that genomic ancestry did not interfere with therapy response among HCV genotype 1 patients with C/C genotype in a Brazilian study (28).

The frequency of homozygote genotype (rs12979860 CC) is different among countries (29). It is found in 24.2% of the patient group and 43.3% of the control group in our study. In a German study, the rs12979860 CC was 33.9% in genotype 1 and 49% in the control group, which is pretty much, same as in our study (30). When we compared the genotype frequencies between the each group, rs12979860 CC, rs12980275 GG, and rs8099917 GT genotypes and rs12979860 C, rs12980275 A, and rs8099917 T alleles were found to be higher in the patients but rs12979860 CT (57.6%), rs12980275 GA genotype (54.6%); and rs8099917 GT genotypes were the most common genotypes and all were associated with RVR and the RVR was found to be the best indicator for treatment outcome (31).

The main focus of the present study was the importance of the SNP of the IL28B gene. However, not only the rs12979860 CC variability may influence the treatment response but also the rs12980275 and rs8099917. We wanted to bring out the importance of differences between variabilities among countries so that, focusing only the rs12979860 CC genotype should not accurately identify those patients who would respond to the therapy and who would not need longer treatment period. Although our study revealed results consistent with that in many studies, the frequency of the rs12979860 CC genotype has been found lower in HCV genotype 1 vs. genotype 2/3 patients in a German study (30). It was the same in a Spanish cohort: the CC genotype was overrepresented among patients infected with viral genotypes non-1 (66.7% versus 39.1% in patients) (32). In Taiwan, not the rs12979860 but the rs8099917 TT genotype had benefit from a shorter duration of combination therapy in HCV-1 patients (33). In Uzbekistan, SNP rs8099917 was found the most predictive of outcome for Central Asians (18) and in chile, all the three genotypes (the IL28B rs12979860 CC, rs12980275 AA and rs8099917 TT) have been found frequent in patients with SVR compared to null responders (38%, 44% and 50% vs. 2%, 8.2% and 8.2%, respectively) (34). Two recent studies have failed to show such an association: status of IL-28B polymorphism neither affected nor had an impact on virologic response in France and Japan (35,36).

In this study, we also evaluated fibrosis. Although we did not search HAI and Ishak fibrosis scoring, based on APRI, there was no association observed in terms of fibrosis and IL28B polymorphism in this study. A study observed an association between IL28B and fibrosis progression in CHC patients with IL28B CC genotype had significantly higher portal inflammation (2.4 versus 2.2) and ALT levels (37).

Study Limitations

The study was conducted before the start of the use of new treatments.

Conclusion

The determination of IL28B polymorphisms may be useful to individualize treatment options when using Peg/RBV-based therapies for CHC but countries must know their population’s genetic characteristics.

Acknowledgements

This study has received financial support from the Gaziosmanpaşa University Scientific Research Support Fund. The Ethics Committee of Gaziosmanpaşa University approved the present study and all patients gave written informed consents for the study.

Ethics

Ethics Committee Approval: The study were approved by the Gaziosmanpaşa University of Local Ethics Committee, Informed Consent: Consent form was filled out by all participants.

Peer-review: Externally and Internally peer-reviewed.

Authorship Contributions

Medical Practices: Aydın Rüstemoğlu, Özgür Günal, Concept: Aydın Rüstemoğlu, Özgür Günal, Didem Yalçın, Design: Özgür Günal, Didem Yalçın, Betül Çelik, Data Collection or Processing: Şener Barut, Ömer Ateş, Analysis or Interpretation: Didem Yalçın, Betül Çelik, Literature Search: Aydın Rüstemoğlu, Şener Barut, Ömer Ateş, Writing: Özgür Günal, Didem Yalçın, Betül Çelik.

Conflict of Interest: No conflict of interest was declared by the authors.

Financial Disclosure: This study has receieved financial support from.

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