MHC class I-related chain B gene polymorphism is associated with virological response to pegylated interferon plus ribavirin therapy in patients with chronic hepatitis C infection

  • Authors:
    • Ayumi Asada
    • Makoto Shioya
    • Rie Osaki
    • Takashi Nishimura
    • Takayuki Takeuchi
    • Yoshiaki Okumura
    • Akira Andoh
  • View Affiliations

  • Published online on: December 17, 2014     https://doi.org/10.3892/br.2014.406
  • Pages: 247-253
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Abstract

The outcome of antiviral therapy is associated with viral and host factors. In the present study, the association between MHC class I‑related chain B (MICB) genotypes and therapeutic response to pegylated interferon plus ribavirin (PEG‑IFN/RBV) therapy was investigated in hepatitis C virus (HCV)‑infected patients. In total, 107 patients with chronic HCV infection (74 with HCV serotype 1 and 33 with serotype 2) were enrolled. Genotyping of MICB single‑nucleotide polymorphism (SNP) rs3828913 and interleukin‑28B (IL28B) SNP rs8099917 was performed using TaqMan® SNP genotyping assays. The genotype distribution of the MICB alleles was: CC, 79.4%; CA, 17.8%; and AA, 2.8%. Sustained virological response (SVR) was achieved by 55.1% (59/107) of the HCV patients. The SVR rate of patients with MICB major (CC) alleles was 62.3% and this rate was significantly higher than that of the patients with MICB minor (CA and AA) alleles (27.2%) (P=0.0068). A multivariate logistic model showed that the MICB major genotype was an independent factor contributing to SVR (OR, 4.47; 95% CI, 1.46‑13.70; P=0.009). In addition, the MICB genotype was identified as the sole independent factor contributing to SVR and non‑virological response in HCV serotype 1 patients with the IL28B major genotype. In HCV serotype 2 patients, the MICB genotype was the sole significant factor contributing to SVR (OR, 30.68; 95% CI, 2.72‑346.3; P=0.006). In conclusion, the MICB genotype is a strong predictive factor for virological response to PEG‑IFN/RBV therapy in HCV patients.

Introduction

Hepatitis C virus (HCV) is the major cause of chronic liver diseases and ~170 million people are infected worldwide (14). Chronic HCV infection leads to life-threatening complications, such as liver cirrhosis (LC) and hepatocellular carcinoma (HCC) (2, 57). The current standard therapy for chronic HCV infection comprises of a combination of pegylated interferon-α (PEG-IFN-α) and ribavirin (RBV) (1, 8, 9). Successful treatment, termed sustained virological response (SVR), is defined as undetectable HCV RNA 6 months after cessation of treatment (1012). The SVR rate of PEG-IFN/RBV therapy has been reported as 40% in HCV serotype 1 patients and 75% in serotype 2 patients (9, 13, 14). In addition, triple combination therapy, including HCV protease inhibitors, has recently been introduced. HCV protease inhibitors block the protease-dependent cleavage of the HCV polyprotein and inhibit an essential step of viral replication (15). Triple combination therapy achieves high antiviral responses (15, 16), but HCV protease inhibitors remain unavailable in numerous countries (17).

Innate immunity appears to play an important role in the pathogenesis of viral hepatitis C infection. Of the various subsets of cells involved in innate immunity, natural killer (NK) cells are enriched in the liver and provide inherent defense against a number of pathogens, including HCV (18, 19). The prevalence and cytotoxicity of NK cells increase in the early stage of HCV infection, but they are downregulated in number and function in the chronic phase (19). Certain HCV peptides are inhibitory for NK cells, leading to the reduction of their antiviral activity (20).

NK cells exhibit various types of receptors, either inhibitory or activating, that can react with distinct ligands on infected cells. MHC class I-related chain B (MICB) is the ligand for the natural killer group 2 member D (NKG2D) activating receptor, which transduces positive intracellular signals in NK cells (21). In addition, dendritic cells (DCs) also express MICB upon IFN-α stimulation and gain the ability to activate NK cells. In patients with HCV-infection, the MICB induction of DCs is severely impaired, suggesting that this impairment may play a role in HCV infection (22).

The outcome of antiviral therapy has been reported to be associated with viral and host factors. Representative viral factors are the HCV genotype, high HCV RNA titers (23) and amino acid substitutions in the NS5A (24) and core region (25). Host factors include age, body mass index, insulin resistance and stage of liver fibrosis (26, 27). One host genetic factor, a single-nucleotide polymorphism (SNP) of the interleukin-28B (IL28B) gene, is strongly associated with the treatment outcome of IFN and RBV therapy (2830). IL28B genotyping may lead to the development of personalized medicine, where it may aid to identify the candidates most likely to respond to antiviral treatment. IL28B genotyping may be particularly important across ethnic divides as IL28B genotype differences may account for >50% of ethnic bias (31). However, the IL28B polymorphism does not explain all the treatment outcomes, and patients with the non-responder genotype may respond to therapy. Therefore, further studies aimed at finding new genetic factors for prediction of the therapeutic efficacy of antiviral therapy are required.

In the present study, the association between MICB genotypes and therapeutic response to PEG-IFN/RBV therapy was investigated in HCV-infected patients. MICB genotypes are closely associated with therapeutic outcomes of PEG-IFN/RBV therapy and can be used as predictive factors of treatment outcome.

Patients and methods

Study populations

A total of 107 patients with chronic HCV infection (74 patients with HCV serotype 1 and 33 patients with serotype 2) that were treated with PEG-IFN/RBV therapy at the Hospital of Shiga University of Medical Science (Otsu, Japan), the Notogawa Hospital (Higashioumi, Japan) or the Shiga Hospital of Regional Health Care Promotion Organization were enrolled in the study. Table I shows the baseline features of the patients. The patients received a weekly injection of PEG-IFN-α 2b (Peg-Intron®; MSD, Tokyo, Japan) at a dose of 1.5 µg/kg or PEG-IFN-α 2a (PEGASYS®; Chugai Pharmaceutical, Tokyo, Japan) at a dose of 90 or 180 µg/subject, and oral administration of RBV (Rebetol®; MSD) for 24–72 weeks. The amount of RBV was adjusted based on the body weight of the patient (600 mg for <60 kg; 800 mg for 60–80 kg; or 1,000 mg for >80 kg). Virological responses were defined as follows: SVR, undetectable HCV RNA at treatment week 24; non-virological response (NVR), continuous detection of HCV RNA throughout the observation period; and transient virological response (TVR), transient undetectable HCV RNA with its reappearance during the follow-up period. Adherence to >80% of the scheduled doses during the first 12 weeks was required for inclusion in the study. Additionally, patients who discontinued treatment within 24 weeks of treatment for reasons other than virological failure were excluded.

Table I.

Baseline characteristics of patients with HCV infection.

Table I.

Baseline characteristics of patients with HCV infection.

FactorsTotalHCV serotype 1HCV serotype 2
Patients, n1077433
Age, years58.2±9.958.4±10.657.6±8.6
Gender, male/female, n67/4046/2821/12
Body mass index, kg/m223.4±4.023.0±3.324.3±5.2
HCV-RNA levels, log IU/ml6.25±0.736.1±0.726.1±0.86
AST, U/160.0±42.260.2±37.959.2±50.7
ALT, U/174.2±56.273.1±44.876.3±76.1
γ-GTP, U/163.3±68.062.8±54.164.0±92.2
Hemoglobin, g/dl14.0±1.514.1±1.514.1±1.3
Platelets, × 104/mm316.4±5.015.8±4.417.9±5.9
Total cholesterol, mg/dl174.3±30.0173.4±28.6175.7±26.5
PEG-IFN, µg/kg88.1±47.8104.5±43.650.7±33.1
RBV, mg/kg/day10.1±2.410.1±2.510.1±2.1
Histological fibrosis stage: 1–2/3–4a, n60/1839/1421/4
Histological inflammation grade: 0–1/2–3a, n25/5013/3812/12

a Available sample number only. Data are presented as mean±standard deviation. HCV, hepatitisC virus; PEG-IFN, pegylated interferon; RBV, ribavirin.

Histological features, such as fibrosis and inflammation grade, were determined by pathologists at each hospital according to the Japanese chronic hepatitis classification (New Inuyama classification) (32). Written informed consent was obtained from all the patients. The ethics committee of each hospital approved the present study.

Serotyping of HCV

Serotyping was performed using an enzyme immunoassay kit (Imcheck F-HCV Gr; Kokusai-Shiyaku, Kobe, Japan).

Genotyping

Genomic DNA was extracted from peripheral leukocytes of whole blood samples using the QIAamp® DNA Blood mini kit (Qiagen, Hilden, Germany). The samples were genotyped for MICB rs3828913 and IL28B rs8099917 using the TaqMan® SNP Genotyping assay system (Applied Biosystems Inc., Foster City, CA, USA). Locus-specific polymerase chain reaction (PCR) primers and allele-specific TaqMan® probes were purchased from Applied Biosystems. For MICB genotyping, homozygosity for the major sequence (CC) was defined as exhibiting the MICB major allele, whereas homozygosity (AA) or heterozygosity (CA) was defined as exhibiting the MICB minor allele. For the IL-28 genotypes, homozygosity for the major sequence (TT) was defined as exhibiting the IL28B major allele, whereas homozygosity (GG) or heterozygosity (TG) was defined as exhibiting the IL28B minor allele. HCV RNA levels were analyzed using the TaqMan reverse transcription PCR (RT-PCR) test (COBAS TaqMan® HCV test ver. 2.0; Roche, Branchburg, NJ, USA). The measurement ranges of these assays were 1.2-7.8 log IU.

Statistical analysis

Hardy-Weinberg equilibrium analysis was performed on these subjects by comparing the detected distribution of allele frequencies to the theoretical distribution estimated from the SNP allelic frequencies. P>0.05 (χ2 statistics) was considered to indicate an equilibrium. The categorical variables are presented as frequencies and percentages as required. The continuous variables are reported as the means ± standard deviation (range). Statistically significant differences in treatment responses according to patient baseline parameters were determined by the Mann-Whitney U test for numerical variables and by Fisher's exact probability test or the χ2 test for categorical variables. Variables with a P-value of <0.05 in univariate analysis were included in stepwise multivariate logistic regression analysis. Variables with a P-value of <0.05 in multivariate analysis were considered to indicate a statistically significant difference. The odds ratio was also calculated. All the statistical analyses were carried out with Mac Toukei-Kaiseki Ver. 2 (Esumi Co., Ltd., Tokyo, Japan).

Results

MICB polymorphisms

The frequencies of the MICB genotypes in patients with HCV are shown in Table II. HapMap data are shown as a reference. The genotype frequency of the MICB alleles in HCV patients (CC, 79.4%; CA, 17.8%; and AA, 2.8%) was almost identical to that determined from the HapMap data (CC, 74.4%; CA, 23.3%; and AA, 2.3%). The frequency of the MICB rs3828913 C allele in HCV patients was 88.3%.

Table II.

Genotype distribution of MICB SNP rs3828913 and IL28B SNP rs8099917.

Table II.

Genotype distribution of MICB SNP rs3828913 and IL28B SNP rs8099917.

MICB SNP rs3828913IL28B SNP rs8099917


VariablesCCCAAATTTGGG
HCV serotype 1, n (%)59 (79.7)13 (17.6)2 (2.7)57 (77.0)16 (21.6)1 (1.4)
HCV serotype 2, n (%)26 (78.8)6 (18.2)1 (3.0)28 (84.8)5 (15.2)0 (0.0)
Total, n (%)85 (79.4)19 (17.8)3 (2.8)85 (79.4)21 (19.6)1 (0.9)
HapMap, %74.423.32.381.418.60.0

[i] MICB, MHC classI-related chainB; IL28B, interleukin-28B; HCV, hepatitisC virus.

The genotype frequencies of IL28B polymorphisms were also analyzed. These data were consistent with a recent study of these polymorphisms in the Japanese population reported by Ochi et al (33).

Association between the MICB genotypes and treatment responses to PEG-IFN/RBV therapy

Treatment responses to PEG-IFN/RBV therapy of patients with HCV are shown in Table III. SVR was achieved by 55.1% (59/107) of the HCV patients. The SVR rate was significantly lower in HCV serotype 1 patients (45.9%, 34/74) compared to serotype 2 patients (75.8%, 25/33) (P=0.008). NVR was noted in 19.6% (21/107) of the HCV patients. The NVR rate was significantly higher in serotype 1 patients (28.4%, 21/74) compared to serotype 2 patients (0.0%, 0/33) (P=0.0002). TVR was noted in 25.2% (27/107) of the HCV patients. There was no significant difference in the TVR rate between serotype 1 (25.6%, 19/74) and 2 (24.2%, 8/33) patients.

Table III.

Association between MICB genotypes and virological responses.

Table III.

Association between MICB genotypes and virological responses.

rs3828913SVRNVRTVRn
All HCV patients
  CC, n (%)53 (62.3)13 (15.2)19 (22.4)85
  CA, n (%)6 (31.6)8 (42.1)5 (26.3)19
  AA, n (%)0 (0.0)0 (0.0)3 (100.0)3
  Total59 (55.1)21 (19.6)27 (25.2)107
HCV serotype 1 patients
  CC, n (%)30 (50.8)13 (22.0)16 (27.1)59
  CA, n (%)4 (30.8)8 (61.5)1 (7.6)13
  AA, n (%)0 (0.0)0 (0.0)2 (100.0)2
  Total34 (45.9)21 (28.4)19 (25.6)74
HCV serotype 2 patients
  CC, n (%)23 (88.4)0 (0.0)3 (11.5)26
  CA, n (%)2 (33.3)0 (0.0)4 (66.6)6
  AA, n (%)0 (0.0)0 (0.0)1 (100.0)1
  Total25 (75.8)0 (0.0)8 (24.2)33

[i] MICB, MHC classI-related chainB; SVR, sustained virological response; NVR, non virological response; TVR, transient virological response.

Association of the SVR rate with MICB genotypes of HCV patients was analyzed (Fig. 1). Of the total HCV patients, SVR was noted in 62.3% of patients with MICB major (CC) alleles and this rate was significantly higher than that of the patients with MICB minor (CA and AA) alleles (27.2%). In HCV serotype 1 patients, the SVR rate (50.8%) tended to be higher in patients with MICB major alleles compared to patients with MICB minor alleles (26.7%), but this difference was not significant. In HCV serotype 2 patients, 88.4% of patients with MICB major alleles achieved SVR and this rate was significantly higher than that of the patients with MICB minor alleles (28.6%).

By contrast, of the total HCV patients the NVR rate (15.2%) tended to be lower in patients with MICB major alleles compared to the patients with MICB minor alleles (36.4%). In particular, in HCV serotype 1 patients the NVR rate (22.0%) was significantly lower in patients with MICB major alleles compared to patients with MICB minor alleles (53.3%).

Factors contributing to virological responses in HCV patients

When pretreatment clinical data of all the HCV patients were analyzed and data of patients with SVR (n=59) and non-SVR (TVR plus NVR, n=48) were compared, a significant difference was found in the distribution of serum HCV RNA levels and in IL28B and MICB genotypes (Table IV). Factors identified as significantly different between patients with NVR (n=21) and non-NVR (SVR and TVR, n=86) were γ-glutamyl transpeptidase (GTP) and the IL28B genotype.

Table IV.

Univariate analysis of the factors associated with virological responses in all the HCV patients (n=107).

Table IV.

Univariate analysis of the factors associated with virological responses in all the HCV patients (n=107).

P-values

FactorsSVRNVRTVRSVR vs. non-SVRNVR vs. non-NVR
Patients, n592127
Age, years57.3±10.257.7±11.160.4±8.40.260.54
Gender, male/female,n37/2215/615/120.980.50
Body mass index, kg/m223.4±3.723.2±2.523.8±5.40.530.52
HCV-RNA level, log IU/ml6.08±0.746.36±0.696.52±0.750.0062b0.51
AST, U/l63.4±49.359.2±31.552.8±31.20.520.50
ALT, U/l81.8±67.266.8±39.362.7±35.10.400.52
γ-GTP, U/l64.8±80.179.8±62.846.5±29.30.360.039*
Hemoglobin, g/dl14.1±1.513.8±1.614.1±1.10.530.51
Platelets, × 104/mm316.7±4.716.6±5.315.8±5.30.510.53
Total cholesterol, mg/dl172.8±30.9171.1±27.2179.4±30.30.490.52
PEG-IFN, µg/kg82.3±48.8103.0±52.289.5±40.60.0910.14
RBV, mg/kg/day10.0±2.310.4±2.89.9±2.40.530.44
MICB genotype: major/minor, n53/613/819/80.0068b0.055
IL28B genotype: major/minor, n53/611/1021/60.0068b 0.00062b
Fibrosis stage: 1–2/3–4a, n35/911/614/30.720.30
Inflammation grade: 0–1/2–3a, n12/305/118/90.320.92

a Available sample number only.

b P=0.004. Data are presented as mean±standard deviation. MICB, MHC classI-related chainB; IL28B, interleukin-28B; HCV, hepatitisC virus; SVR, sustained virological response; NVR, non virological response; TVR, transient virological response; AST, aspartate transaminase; ALT, alanine transaminase; GTP, glutamyl transpeptidase; PEG-IFN, pegylated interferon; RBV, ribavirin.

A multivariate logistic model was applied for analysis of the three variables that were significantly different between patients with SVR and non-SVR to determine independent predictive factors (Table V). Among the 107 patients, the IL28B major (TT) genotype (OR, 7.14; 95% CI, 2.19-23.22), lower HCV RNA levels (OR, 2.39; 95% CI, 1.19-4.78) and the MICB major genotype (OR, 4.47; 95% CI, 1.46-13.70) were identified as independent factors contributing to SVR. The IL28B minor genotype (TG and GG), but not γ-GTP levels, was identified as an independent factor contributing to NVR (OR, 5.63; 95% CI, 1.94-16.38) (Table V).

Table V.

Multivariate analysis of the factors associated with SVR and NVR in the HCV patients (n=107).

Table V.

Multivariate analysis of the factors associated with SVR and NVR in the HCV patients (n=107).

VariablesOR95% CIP-value
Predicting SVR
  IL-28B major genotype7.142.19-23.220.001
  MICB major genotype4.471.46-13.700.009
  Lower HCV-RNA2.391.19-4.780.014
Predicting NVR
  IL28B minor genotype5.631.94-16.380.002
  Higher γ-GTP levels11.00-1.010.121

[i] SVR, sustained virological response; NVR, non virological response; OR, odds ratio; CI, confidence interval; IL28B, interleukin-28B; MICB, MHC classI-related chainB; HCV, hepatitisC virus; GTP, glutamyl transpeptidase.

Factors contributing to virological responses in HCV serotype 1 patients

In the 74 patients with HCV serotype 1, the IL28B major genotype and lower HCV-RNA level were identified as factors contributing to SVR. Multivariate logistic analysis showed that these were independent factors contributing to SVR (Table VI). Similar analytical processes identified that MICB and the IL28B minor genotype are independent factors contributing to NVR (OR, 5.8; 95% CI, 1.5–21.8 for MICB minor genotype; and OR, 7.9; 95% CI, 2.2–28.4 for IL28B minor genotype) (Table VI).

Table VI.

Multivariate analysis of the factors associated with SVR and NVR in the HCV serotype 1 patients (n=74).

Table VI.

Multivariate analysis of the factors associated with SVR and NVR in the HCV serotype 1 patients (n=74).

VariablesOR95% CIP-value
Predicting SVR
  IL28B major genotype13.82.58-74.00.002
  Lower HCV-RNA3.41.26-9.110.016
Predicting NVR
  IL28B minor genotype7.92.20-28.40.002
  MICB minor genotype5.81.5-21.80.01

[i] SVR, sustained virological response; NVR, non virological response; OR, odds ratio; CI, confidence interval; IL28B, interleukin-28B; MICB, MHC classI-related chainB; HCV, hepatitisC virus.

HCV serotype 1 patients were divided into 57 patients with the IL28B major (TT) genotype and 17 patients with the IL28B minor (TG and GG) genotype. When the study population was limited to HCV serotype 1 patients with the IL28B major genotype, the MICB genotype was identified as the sole independent factor contributing to SVR and NVR (Table VII).

Table VII.

Multivariate analysis of the factors associated with SVR and NVR in the IL28B major type of HCV serotype1 patients (n=57).

Table VII.

Multivariate analysis of the factors associated with SVR and NVR in the IL28B major type of HCV serotype1 patients (n=57).

VariablesOR95% CIP-value
Predicting SVR
  MICB major genotype6.741.19-38.20.031
  Lower HCV-RNA2.770.88-8.720.082
Predicting NVR
  MICB minor genotype5.891.22–28.50.027
  Lower hemoglobin levels0.60.34-1.060.079

[i] SVR, sustained virological response; NVR, non virological response; OR, odds ratio; CI, confidence interval; IL28B, interleukin-28B; MICB, MHC classI-related chainB; HCV, hepatitisC virus.

Factors contributing to virological responses in HCV serotype 2 patients

In the 33 patients with HCV serotype 2, the MICB genotype was the sole significant factor contributing to SVR, whereas the IL28B genotype did not affect SVR (Table VIII). Using the IL28B, HCV-RNA and MICB genotypes as variables for simultaneous multivariate logistic regression analysis, the OR of MICB genotypes for prediction of SVR was 30.68 (95% CI, 2.72-346.3; P=0.006).

Table VIII.

Univariate analysis of the factors associated with SVR and TVR in HCV serotype 2 patients.

Table VIII.

Univariate analysis of the factors associated with SVR and TVR in HCV serotype 2 patients.

P-value
FactorsSVRTVRSVR vs. non-SVR
Patients, n258
Age, years56.5±8.960.6±7.00.28
Gender, male/female, n16/95/31
Body mass index, kg/m223.7±3.726.3±8.30.53
HCV-RNA level, log IU/ml6.01±0.776.19±1.150.26
AST, U/l63.4±56.646.1±23.20.53
ALT, U/l83.6±84.953.5±31.10.51
γ-GTP, U/l70.8±104.442.5±28.30.51
Hemoglobin, g/dl14.1±1.4114.2±0.990.55
Platelets, × 104/mm318.6±5.615.6±6.30.40
Total cholesterol, mg/dl173.7±27.0181.9±25.70.51
PEG-IFN, µg/kg49.1±32.155.7±38.00.54
RBV, mg/kg/day10.5±1.98.6±2.40.52
MICB genotype: major/minor, n23/23/50.004b
IL28B genotype: major/minor, n21/47/11
Fibrosis stage: 1–2/3–4a, n18/33/10.83

a Available sample number only.

b P=0.004. Data are presented as mean±SD. SVR, sustained virological response; TVR, transient virological response; HCV, hepatitisC virus; SVR, sustained virological response; AST, aspartate transaminase; ALT, alanine transaminase; GTP, glutamyl transpeptidase; PEG-IFN, pegylated interferon; RBV, ribavirin; IL28B, interleukin-28B; MICB,MHC classI-related chainB; SD, standard deviation.

Discussion

Combined PEG-IFN and RBV therapy has been the main treatment for patients with chronic hepatitis C in recent decades. However, the SVR rate is ~40 and 75% in patients with HCV serotype 1 and 2 infection, respectively (1, 13, 14). In addition, PEG-IFN/RBV therapy is poorly tolerated due to the side-effects and requires long-term treatment (48 weeks). Therefore, pretreatment prediction of therapeutic response would be of great clinical benefit. In previous studies, host factors including genetic background (age, gender, ethnicity, platelets, liver fibrosis, obesity and IL28B polymorphisms) and viral factors (genotype, viral load and viral genetic polymorphisms) were reported to be associated with the outcome of PEG-IFN/RBV therapy (1, 34). In particular, a polymorphism upstream of the IL28B gene is strongly associated with a favorable response in HCV serotype 1 patients (6, 28). However, the SVR rate of HCV serotype 1 patients possessing favorable IL28B genotypes is as high as 50% (14), and thus, half of patients cannot achieve SVR (14). In addition, it remains unclear whether the IL28B genotype aids in predicting virological response in HCV serotype 2 patients (35). For these reasons, identification of new determinants for response to treatment is considered a high priority.

MICB is a ligand for the NKG2D activating receptor expressed on NK cells, natural killer T (NKT) cells, cluster of differentiation 8+ T cells and γδ T cells (36). NKG2D ligand expression is stress-related and upregulated by infected or oncogenic cells leading to cytolysis. MICB genes exhibit considerable polymorphism among individuals and studies have investigated allelic association with disease (3739). The MICB SNP rs3828913 (position −176) is located adjacent to the heat-shock response element and the GC box in the MICB promoter (40), and plays a role in transcriptional activation of the MICB gene. Previous studies reported that IFN-α stimulates MICB expression in DCs, leading to activation of NK cells, which play an important role in host antiviral activity. In addition, in patients with HCV-infection the MICB induction of DCs is severely impaired and this impairment may play a specific role in HCV infection (22). These observations prompted the investigation of the association between MICB SNP rs3828913 and treatment outcome of PEG-IFN/RBV therapy in patients with HCV infection.

In the present study, the MICB genotype, as well as the IL28B major genotype and lower HCV-RNA level, were significantly associated with SVR in HCV patients. Although the predictive power of the MICB major genotype was not as strong as that of the IL28B major genotype (OR, 7.14; 95% CI, 2.19-23.22), it appeared to be sufficient for clinical use (OR, 4.47; 95% CI, 1.46-13.70). When limited to HCV serotype 1 patients, the predictive power of the MICB major genotype for SVR was not significant, but the MICB minor genotype was useful for prediction of NVR in these patients (OR, 5.8; 95% CI, 1.5-21.8). As mentioned above, a considerable number of HCV serotype 1 patients with the IL28B major genotype (~50%) are resistant to PEG-IFN/RBV therapy (14). Therefore, the predictive power of the MICB genotype was analyzed for achievement of SVR in HCV serotype 1 patients with the IL-28 major genotype. In HCV serotype 1 patients with the IL-28 major genotype, the achievement of SVR by patients with the MICB major genotype was 6.74-fold higher than that of the patients with the MICB minor genotype (Table VII). Conversely, the MICB minor genotype appeared to be useful for prediction of NVR in HCV serotype 1 patients with the IL28B major genotype (OR, 5.89; 95% CI; 1.22–28.5). When limited to HCV serotype 2 patients, the MICB major genotype is the sole factor associated with SVR.

The combination of the HCV protease inhibitor with PEG-IFN/RBV was recently introduced for anti-HCV therapy and was reported to achieve higher antiviral responses (15). However, the SVR rate of non-responders who previously failed to respond to IFN-based therapy was only 40–50% (15, 16). Therefore, the present data regarding the use of MICB genotyping for the prediction of response to therapy should contribute to a higher SVR rate in selected treated patients. In the future, the clinical utility of MICB genotyping should be evaluated as a predictive factor of the efficacy of the HCV protease inhibitor combined to PEG-IFN/RBV.

In conclusion, the MICB genotype is a strong predictive factor of virological response to PEG-IFN/RBV therapy in HCV patients. MICB genotyping may become part of the clinical assessment prior to standard antiviral therapy in individuals chronically infected with HCV.

References

1 

Chayama K, Hayes CN, Ohishi W and Kawakami Y: Treatment of chronic hepatitis C virus infection in Japan: update on therapy and guidelines. J Gastroenterol. 48:1–12. 2013. View Article : Google Scholar : PubMed/NCBI

2 

Kim MN, Kim BK and Han KH: Hepatocellular carcinoma in patients with chronic hepatitis C virus infection in the Asia-Pacific region. J Gastroenterol. 48:681–688. 2013. View Article : Google Scholar : PubMed/NCBI

3 

Chuang WL and Yu ML: Host factors determining the efficacy of hepatitis C treatment. J Gastroenterol. 48:22–30. 2013. View Article : Google Scholar : PubMed/NCBI

4 

Minami T, Kishikawa T, Sato M, Tateishi R, Yoshida H and Koike K: Meta-analysis: mortality and serious adverse events of peginterferon plus ribavirin therapy for chronic hepatitis C. J Gastroenterol. 48:254–268. 2013. View Article : Google Scholar : PubMed/NCBI

5 

Yamashita N, Ohho A, Yamasaki A, Kurokawa M, Kotoh K and Kajiwara E: Hepatocarcinogenesis in chronic hepatitis C patients achieving a sustained virological response to interferon: significance of lifelong periodic cancer screening for improving outcomes. J Gastroenterol. 49:1504–1513. 2014. View Article : Google Scholar : PubMed/NCBI

6 

Nishiguchi S, Enomoto H, Aizawa N, et al: Relevance of the Core 70 and IL-28B polymorphism and response-guided therapy of peginterferon alfa-2a ± ribavirin for chronic hepatitis C of Genotype 1b: a multicenter randomized trial, ReGIT-J study. J Gastroenterol. 49:492–501. 2014. View Article : Google Scholar : PubMed/NCBI

7 

Asahina Y, Tsuchiya K, Nishimura T, et al: Genetic variation near interleukin 28B and the risk of hepatocellular carcinoma in patients with chronic hepatitis C. J Gastroenterol. 49:1152–1162. 2014. View Article : Google Scholar : PubMed/NCBI

8 

Miyase S, Haraoka K, Ouchida Y, Morishita Y and Fujiyama S: Randomized trial of peginterferon alpha-2a plus ribavirin versus peginterferon alpha-2b plus ribavirin for chronic hepatitis C in Japanese patients. J Gastroenterol. 47:1014–1021. 2012. View Article : Google Scholar : PubMed/NCBI

9 

Enomoto M, Tamori A, Kobayashi S, Iwai S, Morikawa H and Kawada N: Treatment guidelines for HCV genotype 1: mono for low, triple for high, and dual for ‘middle’? J Gastroenterol. 48:555–556. 2013. View Article : Google Scholar : PubMed/NCBI

10 

Sato M, Kato N, Tateishi R, et al: I128B minor allele is associated with a younger age of onset of hepatocellular carcinoma in patients with chronic hepatitis C virus infection. J Gastroenterol. 49:748–754. 2014. View Article : Google Scholar : PubMed/NCBI

11 

Okita K, Izumi N, Matsui O, et al: Peretinoin after curative therapy of hepatitis C-related hepatocellular carcinoma: a randomized double-blind placebo-controlled study. J Gastroenterol. Apr 13–2014.(Epub ahead of print). View Article : Google Scholar : PubMed/NCBI

12 

Izumi N, Asahina Y, Kurosaki M, et al: Inhibition of hepatocellular carcinoma by PegIFN α −2a in patients with chronic hepatitis C: a nationwide multicenter cooperative study. J Gastroenterol. 48:382–390. 2013. View Article : Google Scholar : PubMed/NCBI

13 

Fried MW, Shiffman ML, Reddy KR, et al: Peginterferon alfa-2a plus ribavirin for chronic hepatitis C virus infection. N Engl J Med. 347:975–982. 2002. View Article : Google Scholar : PubMed/NCBI

14 

Kurosaki M, Tanaka Y, Nishida N, et al: Pre-treatment prediction of response to pegylated-interferon plus ribavirin for chronic hepatitis C using genetic polymorphism in I128B and viral factors. J Hepatol. 54:439–448. 2011. View Article : Google Scholar : PubMed/NCBI

15 

Hézode C, Forestier N, Dusheiko G, et al: Telaprevir and peginterferon with or without ribavirin for chronic HCV infection. N Engl J Med. 360:1839–1850. 2009. View Article : Google Scholar : PubMed/NCBI

16 

Izumi N, Hayashi N, Kumada H, et al: Once-daily simeprevir with peginterferon and ribavirin for treatment-experienced HCV genotype 1-infected patients in Japan: the CONCERTO-2 and CONCERTO-3 studies. J Gastroenterol. 49:941–953. 2014. View Article : Google Scholar : PubMed/NCBI

17 

Wang X, Liu F, Wei F, Ren H and Hu H: Efficacy and safety of pegylated interferon plus ribavirin therapy for chronic hepatitis C genotype 6: a meta-analysis. PLoS One. 9:e1001282014. View Article : Google Scholar : PubMed/NCBI

18 

Holder KA, Stapleton SN, Gallant ME, Russell RS and Grant MD: Hepatitis C virus-infected cells downregulate NKp30 and inhibit ex vivo NK cell functions. J Immunol. 191:3308–3318. 2013. View Article : Google Scholar : PubMed/NCBI

19 

Gonzalez VD, Falconer K, Björkström NK, et al: Expansion of functionally skewed CD56-negative NK cells in chronic hepatitis C virus infection: correlation with outcome of pegylated IFN-alpha and ribavirin treatment. J Immunol. 183:6612–6618. 2009. View Article : Google Scholar : PubMed/NCBI

20 

Zeromski J, Mozer-Lisewska I, Kaczmarek M, Kowala-Piaskowska A and Sikora J: NK cells prevalence, subsets and function in viral hepatitis C. Arch Immunol Ther Exp (Warsz). 59:449–455. 2011. View Article : Google Scholar : PubMed/NCBI

21 

Jinushi M, Takehara T, Tatsumi T, et al: Impairment of natural killer cell and dendritic cell functions by the soluble form of MHC class I-related chain A in advanced human hepatocellular carcinomas. J Hepatol. 43:1013–1020. 2005. View Article : Google Scholar : PubMed/NCBI

22 

Jinushi M, Takehara T, Kanto T, et al: Critical role of MHC class I-related chain A and B expression on IFN-alpha-stimulated dendritic cells in NK cell activation: impairment in chronic hepatitis C virus infection. J Immunol. 170:1249–1256. 2003. View Article : Google Scholar : PubMed/NCBI

23 

Iino S, Ichida F, Sakuma A and Suzuki H: A randomized clinical trial with natural interferon-alpha monotherapy for 24 or 48 weeks on patients with chronic hepatitis C having genotype 1b infection in high viral titers. Hepatol Res. 24:338–345. 2002. View Article : Google Scholar : PubMed/NCBI

24 

Enomoto N, Sakuma I, Asahina Y, et al: Mutations in the nonstructural protein 5A gene and response to interferon in patients with chronic hepatitis C virus 1b infection. N Engl J Med. 334:77–81. 1996. View Article : Google Scholar : PubMed/NCBI

25 

Akuta N, Suzuki F, Kawamura Y, et al: Predictors of viral kinetics to peginterferon plus ribavirin combination therapy in Japanese patients infected with hepatitis C virus genotype 1b. J Med Virol. 79:1686–1695. 2007. View Article : Google Scholar : PubMed/NCBI

26 

Yasui K, Harano Y, Mitsuyoshi H, et al: Steatosis and hepatic expression of genes regulating lipid metabolism in Japanese patients infected with hepatitis C virus. J Gastroenterol. 45:95–104. 2010. View Article : Google Scholar : PubMed/NCBI

27 

Izumi N, Asahina Y and Kurosaki M: Predictors of virological response to a combination therapy with pegylated interferon plus ribavirin including virus and host factors. Hepat Res Treat. 2010:7036022010.PubMed/NCBI

28 

Tanaka Y, Nishida N, Sugiyama M, et al: Genome-wide association of I128B with response to pegylated interferon-alpha and ribavirin therapy for chronic hepatitis C. Nat Genet. 41:1105–1109. 2009. View Article : Google Scholar : PubMed/NCBI

29 

Ge D, Fellay J, Thompson AJ, et al: Genetic variation in I128B predicts hepatitis C treatment-induced viral clearance. Nature. 461:399–401. 2009. View Article : Google Scholar : PubMed/NCBI

30 

Kobayashi M, Suzuki F, Akuta N, et al: Association of two polymorphisms of the I128B gene with viral factors and treatment response in 1,518 patients infected with hepatitis C virus. J Gastroenterol. 47:596–605. 2012. View Article : Google Scholar : PubMed/NCBI

31 

Ahlenstiel G, Booth DR and George J: IL-28B in hepatitis C virus infection: translating pharmacogenomics into clinical practice. J Gastroenterol. 45:903–910. 2010. View Article : Google Scholar : PubMed/NCBI

32 

Ichida F, Tsuji T, Omata M, et al: New Inuyama classification; new criteria for histological assessment of chronic hepatitis. Int Hepatol Commun. 6:112–119. 1996. View Article : Google Scholar

33 

Ochi H, Maekawa T, Abe H, et al: IL-28B predicts response to chronic hepatitis C therapy - fine-mapping and replication study in Asian populations. J Gen Virol. 92:1071–1081. 2011. View Article : Google Scholar : PubMed/NCBI

34 

Kurosaki M, Sakamoto N, Iwasaki M, et al: Pretreatment prediction of response to peginterferon plus ribavirin therapy in genotype 1 chronic hepatitis C using data mining analysis. J Gastroenterol. 46:401–409. 2011. View Article : Google Scholar : PubMed/NCBI

35 

Sinn DH, Kim YJ, Lee ST, et al: Association of a single nucleotide polymorphism near the interleukin-28B gene with response to hepatitis C therapy in Asian patients. J Gastroenterol Hepatol. 26:1374–1379. 2011.PubMed/NCBI

36 

Cox ST, Madrigal JA and Saudemont A: Diversity and characterization of polymorphic 5′ promoter haplotypes of MICA and MICB genes. Tissue Antigens. 84:293–303. 2014. View Article : Google Scholar : PubMed/NCBI

37 

Kimura T, Goto K, Yabuki K, et al: Microsatellite polymorphism within the MICB gene among Japanese patients with Behçet's disease. Hum Immunol. 59:500–502. 1998. View Article : Google Scholar : PubMed/NCBI

38 

Rodriguez-Rodero S, Rodrigo L, Fdez-Morera JL, et al: MHC class I chain-related gene B promoter polymorphisms and celiac disease. Hum Immunol. 67:208–214. 2006. View Article : Google Scholar : PubMed/NCBI

39 

González SI, Rodrigo L, López-Vázquez A, et al: Association of MHC class I related gene B (MICB) to celiac disease. Am J Gastroenterol. 99:676–680. 2004. View Article : Google Scholar : PubMed/NCBI

40 

Pan F, Li L, Luo J, Liu X and Tian W: The 5′ promoter region of MHC class I chain-related gene B. Tissue Antigens. 83:337–343. 2014. View Article : Google Scholar : PubMed/NCBI

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Volume 3 Issue 2

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Spandidos Publications style
Asada A, Shioya M, Osaki R, Nishimura T, Takeuchi T, Okumura Y and Andoh A: MHC class I-related chain B gene polymorphism is associated with virological response to pegylated interferon plus ribavirin therapy in patients with chronic hepatitis C infection. Biomed Rep 3: 247-253, 2015
APA
Asada, A., Shioya, M., Osaki, R., Nishimura, T., Takeuchi, T., Okumura, Y., & Andoh, A. (2015). MHC class I-related chain B gene polymorphism is associated with virological response to pegylated interferon plus ribavirin therapy in patients with chronic hepatitis C infection. Biomedical Reports, 3, 247-253. https://doi.org/10.3892/br.2014.406
MLA
Asada, A., Shioya, M., Osaki, R., Nishimura, T., Takeuchi, T., Okumura, Y., Andoh, A."MHC class I-related chain B gene polymorphism is associated with virological response to pegylated interferon plus ribavirin therapy in patients with chronic hepatitis C infection". Biomedical Reports 3.2 (2015): 247-253.
Chicago
Asada, A., Shioya, M., Osaki, R., Nishimura, T., Takeuchi, T., Okumura, Y., Andoh, A."MHC class I-related chain B gene polymorphism is associated with virological response to pegylated interferon plus ribavirin therapy in patients with chronic hepatitis C infection". Biomedical Reports 3, no. 2 (2015): 247-253. https://doi.org/10.3892/br.2014.406