Background
Pegylated interferon alpha (PEG-IFNα) in combination with ribavirin is the standard of care (SOC) recommended for treating chronic infections caused by the hepatitis C virus (HCV) [
1]. Both the HCV and patient genotypes influence the effects of SOC treatment, thus leading to variations in treatment outcome [
2,
3]. SOC treatment of HCV genotype 2 (HCV-2) or 3 (HCV-3) infections has been shown to generate superior virological responses than SOC treatment of HCV-1 [
4]. Among HCV-2/3 patients, the rates of rapid virological response (RVR) and sustained virological response (SVR) have been reported to be approximately 62–87% and 80%, respectively, whereas the SVR rate is only 50% in HCV-1 infected patients [
4,
5]. These findings indicate that HCV genotype-specific virological responses occur following SOC treatment [
6]. In addition to virological responses, the diversity of host genetic factors plays an important role in treatment outcome. Genome-wide association studies have shown that single nucleotide polymorphisms (SNPs) in or near the interleukin-28B (
IL-28B) gene are significantly associated with the treatment outcome for HCV-1-infected patients [
3,
7]. In addition, several studies have shown a significant association between
IL-28B and SVR in HCV-2-infected patients [
8]. However, the predictive value of these SNPs should be considered. For instance, the minor allele frequencies (MAFs) of the rs8099917 SNP are approximately 15.2% in Caucasian populations but only 6.5% in Chinese populations [
3,
8‐
10]. Thus, as most individuals carry the T/T genotype, which is associated with SVR, the potential predictive value of the rs8099917 T/T genotype might be misinterpreted. Therefore, it is important to find a more suitable marker for predicting the treatment outcome.
Recent insights into the complex mechanisms of HCV treatment outcome suggest that genetic variability in the genes encoding pattern recognition receptors (PRRs) such as Toll-like receptors (TLRs) plays a role in virological responses [
11,
12]. The mannose receptor (MR) is a PRR that binds to glycan structures containing mannose, fucose, and N-acetylglucosamine, which are found in the cell walls of several pathogenic microorganisms such as bacteria, parasites, yeasts, and viruses [
13‐
16]. MR is a C-type lectin receptor that is predominantly expressed in macrophages and dendritic cells. MR acts as hepatitis B virus (HBV) surface antigen receptor, and it likely contributes to the impairment of dendritic cells involved in the inactivation of anti-viral responses by HBV [
17]. Signaling through MR promotes Th1- or Th2-biased immune responses [
18] and may be an important factor for determining the treatment outcomes of HCV-infected patients. MR also plays an important role in innate immunity. The MR C type 1 gene (
MRC-1) is located on chromosome 10p12 and consists of 30 exons. Several reports have shown that
MRC-1 is associated with susceptibility to a subset of diseases, including asthma [
19], sarcoidosis [
20], and leprosy [
21,
22].
In the present study, we investigated the association of MRC-1 and IL-28B SNPs with RVR and SVR in Taiwan Chinese patients undergoing PEG-IFNα-RBV treatment. Our results suggest that MRC-1 is superior to IL-28B as a candidate gene for predicting the therapeutic outcomes of Taiwan Chinese patients infected with HCV-1 and HCV-2.
Methods
Patients
A total of 265 HCV-1 infected patients and 195 HCV-2 infected patients from China Medical University Hospital, Taichung, Taiwan, were enrolled. HCV infection diagnosis was based on elevation of serum transaminase levels for at least 6 months, serum anti-HCV-positivity, and detection of serum HCV RNA. Patients who infected with hepatitis B virus or human immunodeficiency virus were excluded. Patients received PEG-IFNα (weekly injections, 1.5 μg/kg body weight) and oral RBV (600 mg for < 60 kg, 800 mg for 60–80 kg, or 1,000 mg for > 80 kg per day) 48 weeks (HCV-1) or 24 weeks (HCV-2). The inform consent were received from all enrolled subjects. This study was approved by the Ethics Committee of China Medical University Hospital, Taichung, Taiwan, and was conducted according to the Declaration of Helsinki.
HCV genotyping and RNA measurements
HCV genotyping was performed by reverse hybridization assay in accordance to the classification of Simmonds et al. (INNO LiPA HCV-II; Innogenetics, Gent, Belgium). Virological response was determined using a qualitative HCV RNA assays from Roche Diagnostics with a sensitivity of 30–50 IU/mL (HCV Amplicor™ 2.0, Roche Diagnostics, Branchburg, NJ). The HCV RNA levels are reported as IU/mL. Patients were defined as (1) rapid virological responders (RVRs, HCV RNA negative at week 4 of treatment), denoted as RVR (+), or (2) non-rapid virological responders (non-RVRs, HCV RNA positive at week 4 of treatment), denoted as RVR (−) or (3) sustained virological responder (SVR; HCV RNA undetectable at week 24 after the end of treatment), denoted as SVR (+); and (4) non-sustained virological responder (non-SVR; HCV RNA detected at week 24 after the end of treatment), denoted as SVR (−) according to the quantitative HCV RNA results. Therefore, all subjects were classified as RVR (+/−) or SVR (+/−).
Genomic DNA extraction and genotyping
Genomic DNA was extracted from the peripheral blood from all participants by using a genomic DNA isolation kit (Genomic DNA kit; QIAGEN, Valencia, CA) according to the manufacturer’s instructions. All SNPs in IL-28B (rs955155, rs8099917, and rs10853728) and MRC-1 (rs1926736 and rs691005) were genotyped using an allele-specific extension method and ligation assay according to the manufacturer’s instructions (Illumina, San Diego, CA).
Statistical analysis
The association between each SNP and RVR and SVR was assessed by the χ
2 test or Fisher exact test. Genotype and allele frequencies in RVR (+) and RVR (−) or in SVR (+) and SVR (−) subjects were compared, and odds ratios (ORs) with 95% confidence intervals (CIs) were determined by unconditional logistic regression. Age, body mass index (BMI), and viral load were estimated by the Mann–Whitney
U test. The differences between genotypes and viral loads were estimated by the Kruskal–Wallis test. Haplotypes were derived from unphased genotype data using the Bayesian statistical method in the software program Phase 2.1 [
23,
24]. The multifactor dimensionality reduction (MDR) method (Dartmouth Medical School, Hanover, NH) was used to detect the locus-locus interaction models. The interaction dendrogram was built according to hierarchical clustering algorithm. All statistical analyses were conducted using SPSS statistical software (Version 20.0 for Windows, Chicago, IL). A
P value less than 0.05 were considered statistically significant.
Discussion and conclusions
In this study, we examined the association of HCV treatment efficacy with
MRC-1 and
IL-28B. In addition to well-known loci on the
IL-28B gene, SNPs located in
MRC-1 (rs1926736 and rs691005) were analyzed, and were shown to have a significant association with the outcome of HCV treatment using PEG-IFNα and ribavirin. Our results are consistent with other reports showing that
IL-28B rs8099917 is associated with RVR and SVR in HCV-1- and HCV-2-infected patients. Our sample groups are comparable with those of previous studies; however, in most of these studies, the MAF of rs8099917 is generally lesser than 10% among Asian populations and greater than 15% among Caucasian populations [
9,
10,
20]. We included
IL-28B SNPs in our analysis to verify our sample quality, and we found that they generated results that are consistent with those of previous studies with respect to their association with HCV treatment outcome. To identify another useful prediction marker for the treatment outcome of HCV, we performed genotyping analyses of the rs1926736 and rs691005 SNPs in the
MRC-1 gene.
MRC-1 rs691005 was significantly associated with SVR in HCV-1-infected patients, and
MRC-1 rs1926736 was significantly associated with RVR in HCV-2-infected patients (data not shown). The MAFs for rs1926736 and rs691005 were 45.3% and 33.3%, respectively. The
MRC-1 rs691005 C/C + C/T genotype had a 2.77-fold higher probability of acquiring SVR than the T/T genotype. These results indicate that
IL-28B and
MRC-1 are good predictors of PEG-IFNα-RBV treatment outcome for patients infected with HCV.
Several studies have suggested that dendritic cells can be infected with HCV [
25‐
28]. C-type lectins play an important role in the receptor-mediated endocytosis of dendritic cells for T-cell presentation/activation. Several C-type lectins specific to mannosylated antigens are expressed by dendritic cells, such as langerin (CD207), MRC-1 (CD206), DEC-205 (CD205), and DC-specific intercellular adhesion molecule 3-grabbing nonintegrin (DC-SIGN; CD209) [
29]. DC-SIGN has been shown to be important in the infection of dendritic cells by Ebola [
30] and dengue viruses [
31], which, like HCV, are members of the Flaviviridae family. Moreover, recombinant HCV envelope glycoprotein 2 (E2) and HCV pseudotype particles (HCVpps) have been shown to bind to DC-SIGN on dendritic cells [
13,
32]. Thus, blocking C-type lectins with mannan might reduce the binding of HCV-like particles to dendritic cells. However, blocking DC-SIGN with monoclonal antibodies was not sufficient to inhibit the binding of HCV-like particles to dendritic cells, indicating that other mannose receptors may participate in this process [
27].
A number of studies have shown that genetic variants near
IL-28B are associated with the outcome of treating HCV infections with PEG-IFNα-RBV. In the present study, we found that carriers of rs8099917 G variants (T-G + G-G) had a significantly higher risk of not achieving SVR. These results corroborate reports from China [
9] and Japan [
33], and confirm that
IL28B rs8099917 is associated with SVR in different ethnic groups. The advantageous T allele of rs8099917 is present at a significantly higher frequency (97.2% in SVR(+) patients in this study) in Asian populations than in populations of African and Caucasian ancestry; this may explain the ethnic differences in SVR rates for IFN-based therapy among Asians, Europeans, and Africans. The current difficulties in evaluating the success rate of the IFN-based treatment may be alleviated by the findings of this study. In the present study, we found that
MRC-1 rs691005 could be used as another marker to predict the treatment outcome of treatment of HCV-1 infections. In order to achieve the most cost-effective treatment and reduce the possibility of serious side effects due to long treatment courses, predicting the treatment outcome of IFN-based therapy must be emphasized.
Customized therapy for HCV infections based on the patient’s genotype and treatment responses is becoming possible. In Taiwan, the standard duration of PEG-IFNα-RBV therapy against HCV is 24 weeks. However, some patients may not exhibit SVR at the end of this treatment, but may achieve SVR by increasing the treatment time. Therefore, we suggest that HCV-1- and HCV-2-infected patients carrying IL28B and MRC-1 low-response alleles/genotypes may benefit from longer antiviral treatments. Variations in the human genome explain some of the difference observed in therapeutic efficacy. The combination of clinical information, including HCV genotypes, HCV viral load, cellular and viral gene expression profiles, and host genetic variations, would be useful in determining the appropriate treatment dose and duration, which could potentially minimize the side effects of drugs, improve the quality of life of patients, and reduce costs. Here, we report another human genome variation that can facilitate the prediction of treatment outcome. In conclusion, the present study indicates that genotyping of IL28B and MRC-1 SNPs may provide novel guidelines for determining optimal treatment regimens for HCV infections.
Acknowledgement
This study was supported by the National Science Council, Executive Yuan, Taiwan, R.O.C. (NSC101-2320-B-039-038 and NSC101-2320-B-039-007-MY3), China Medical University Hospital, Taichung, Taiwan (DMR-102-084), China Medical University, Taichung, Taiwan (CMU99-ASIA-17). This study was supported in part by the Taiwan Ministry of Health and Welfare Clinical Trial and Research Center of Excellence (DOH102-TD-B-111-004).
Competing interests
The authors declare no competing interests.
Authors’ contributions
YPL, THC, and CYP designed and carried out the majority of the study. FJT, WLL, and WYL participated in clinical data and information collection. LW conceived and supervised the project and reviewed the manuscript. All authors contributed to and approved the final manuscript by providing constructive suggestions.