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BioMed Research International
Volume 2017, Article ID 9849823, 8 pages
https://doi.org/10.1155/2017/9849823
Research Article

Naturally Occurring Resistance-Associated Variants to Hepatitis C Virus Direct-Acting Antiviral Agents in Treatment-Naive HCV Genotype 6a-Infected Patients

1Department of Infectious Diseases, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510630, China
2Guangdong Provincial Key Laboratory of Liver Disease, Guangdong, China

Correspondence should be addressed to Qingxian Cai; moc.361@000002xqc and Yutian Chong; moc.621@yzykgnohcty

Received 5 April 2017; Revised 31 May 2017; Accepted 10 July 2017; Published 15 October 2017

Academic Editor: Aparup Das

Copyright © 2017 Zhanyi Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background and Objective. The direct-acting antiviral agents (DAAs) antiviral therapy has drastically improved the prognosis of hepatitis C virus (HCV) patients. However, the viral drug resistance-associated variants (RAVs) can limit the efficacy of DAAs. For the HCV-6a is not the predominant prevalent genotype; the data on the prevalence of naturally occurring RAVs in it is scarce. Our study aims to assess the prevalence of RAVs in treatment-naive HCV-6a patients. Methods. Nested PCR assays were performed on 95 HCV-6a patients to amplify HCV viral regions of NS3, NS5A, and NS5B. Results. In NS3/4A region, we detected Q80K in 95.5% isolates (84/88) and D168E in 2.3% isolates (2/88). In NS5A region, we detected Q30R in 93.2% isolates (82/88), L31M in 4.6% isolates (4/88), and H58P in 6.8% isolates (6/88). In NS5B region, we detected A15G in 2.3% isolates (2/88), S96T in 1.1% isolates (1/88), and S282T in 20.7% isolates (17/88) and we detected I482L in 100% isolates (4/4), V494A in 50% isolates (2/4), and V499A in 100% isolates (4/4). Conclusions. RAVs to DAAs preexist in treatment-naive HCV-6a patients. Further studies should address the issue of the impact of RAVs in response to DAA therapies for HCV-6a patients.

1. Introduction

Hepatitis C virus (HCV) has infected more than 80 million people (HCV RNA positive) globally. One-third of those who become chronically infected are predicted to develop liver cirrhosis or hepatocellular carcinoma [1]. HCV infection is an important cause of hepatic failure and the liver transplantation of the end stage liver disease [2].

The combination of polyethylene glycol interferon (PEG-IFN) plus ribavirin (RBV) was recommended as the standard of care (SOC) for HCV patients before 2011. However, a sustained virological response (SVR) is only achieved in approximately 50% of patients with HCV genotype (GT) 1 infections [3]. Besides, adverse reactions to these drugs occur in a significant proportion of patients and part of the HCV patients has contraindications before the treatment. More effective and safe treatment was required. Then, scientists discovered some molecules that specifically block various viral proteins [4, 5]. These compounds known as direct-acting antiviral agents (DAAs) are targeted on different viral nonstructural proteins, including the NS3/4A protease, the NS5A protein, and the nucleosides/nonnucleoside NS5B polymerase. Many studies had reported that DAA regimen exhibited a significant advancement in HCV antiviral activity with high SVR rate and insignificant side effects, even in difficult-to-treat patients including old patients, patients with liver cirrhosis, and those in whom PEG-IFNα/RBV treatment has failed [68]. DAAs have already been recommended to treat HCV-infected patients in combination with PEG-IFNα/RBV or in IFN-free regimens as SOC [2, 9, 10].

However, the high replication rate of HCV and the low fidelity of its polymerase combined with selective pressures by the immune system and drug treatment resulted in a sequence variation in the HCV population, leading to a quasispecies and the potential selection of drug resistance-associated variants (RAVs) [11, 12]. Recently, the mutations with varying degrees of drug resistance to DAAs have been detected, even in DAAs-naive patients, and lead to the primary drug resistance [1316]. These RAVs can affect the efficacy of DAAs because amino acid substitutions within the targeted proteins may affect the viral sensitivity to DAAs [12]. Thus, RAVs are still challenges for the treatment of HCV infection. Because HCV genotype 6a which is frequently seen in Southeast Asia especially in Southern China [1719] is not the predominant prevalent genotype, previous studies on RAVs are mainly carried out on HCV genotypes 1–4. We face lack of the data on the prevalence of preexisting RAVs in HCV genotype 6a.

None of the DAAs have been approved by the China Food and Drug Administration. In this respect, the use of these drugs appears to be illegal in Mainland China. DAAs may be either unavailable or unaffordable in Mainland China, PEG-IFNα/RBV are still the SOC for HCV-infected patients. Most HCV-infected patients were DAAs-naive. However, many types of DAAs have finished the phase III clinical trials. The new era of DAAs in China is dawning. The object of this study was to assess the prevalence of RAVs to DAAs in treatment-naive HCV genotype 6a-infected patients in China.

2. Materials and Methods

2.1. Patients

817 HCV patients who were admitted into the Third Affiliated Hospital of Sun Yat-sen University between 2009 and 2012 were tested for HCV genotypes, among which 240 cases belong to be HCV genotype 6a. From them, we selected 95 cases who were naïve for antiviral treatment and selected 74 cases of HCV genotype 1b as control. The diagnosis of HCV was based on guidelines on the prevention and treatment of hepatitis C approved by American Association for the Study of Liver Disease. All the patients were Chinese Han population. The work described has been carried out in accordance with The Code of Ethics of the World Medical Association (Declaration of Helsinki) for experiments involving humans. All the study protocols were approved by ethics committee of the Third Affiliated Hospital of Sun Yat-sen University. All patients provided written informed consent.

2.2. RNA Extraction, Reverse Transcription, and Quantification

The HCV RNA was extracted from serum samples identified as positive for HCV RNA using 500 μl serum sample and an RNAiso™ Plus extraction kit (Takara Biotechnology Co., Ltd., Dalian, China). The HCV RNA was quantified by detecting the light absorption value using the trace nucleic acid analyzer (Thermo, Carlsbad, CA, USA) at a wavelength of 260 nm. HCV RNA was eluted in 10 μl of Tris-EDTA (TE) buffer and was then reverse transcribed into cDNA using the ReverTra Aceα-reverse transcription kit (Toyobo, Shanghai, China), according to the manufacturer’s protocol. This cDNA was used as the input for separate PCR assays targeting the HCV core, HCV NS3, HCV NS5A, and HCV NS5B.

2.3. HCV Genotyping by Phylogenetic Analysis

HCV core and nonstructural protein 5B (NS5B) regions were amplified using a nested polymerase chain reaction. The primers used for genotyping are listed in Supplemental Table , in Supplementary Material available online at https://doi.org/10.1155/2017/9849823. PCR was conducted using the Takara Taq™ PCR kit (Takara Biotechnology Co., Ltd.). The outer PCR system (30 µl) consisted of the following: 3 µl 10x PCR buffer, 2 µl 2.5 mM dNTP, 17.6 µl dH2O, 1.5 µl of each primer (10 pmol/µl), 0.4 µl Taq enzyme (2.5 U/µl), and 4 µl template cDNA. Inner PCR system (30 µl) consisted of the following: 3 µl 10x PCR buffer, 2 µl 2.5 mM dNTP, 19.6 µl dH2O, 1.5 µl of each primer (10 pmol/µl), 0.4 µl Taq enzyme (2.5 U/µl), and 2 µl template cDNA. PCR conditions were as follows: 94°C for 5 min, followed by 30 cycles at 94°C for 30 sec, 55°C for 1 min, and 72°C for 40 sec, and a final step at 72°C for 10 min. DNA was sequenced in both directions using an ABI Prism 3,730 genetic analyzer (Applied Biosystems; Thermo Fisher Scientific, Inc., Waltham, MA, USA).

Then, using the Clustal W 1.8 software package [20] the sequences of HCV strains were aligned with a reference panel of sequences representative of each subtype [21] retrieved from the HCV database (http://talk.ictvonline.org/ictv_wikis/w/sg_flavi/35.table-1-confirmed-hcv-genotypessubtypes-november-2014.aspx). Pairwise distances were generated using the Jukes-Cantor corrected distance algorithm of the program MEGA 5.0 [22]. Phylogenetic analysis was performed using the neighbor-joining method for tree drawing. The reliability of phylogenetic classification was evaluated by a 1,000-cycle bootstrap test.

2.4. Amplification and Sequencing of the NS3/4A, NS5A, and NS5B Regions

Specific nested PCR primers for NS3/4A, NS5A, and NS5B regions were designed based on whole genome sequence of subtype 6a isolates (GenBank accession number AY859526, Y12083). The primers are listed in Supplemental Tables . Due to the high difficulty in amplifying the complete NS5B, the NS5B region was divided into 3 portions based on the characteristics of NS5B region variation loci. The first portion contains A15 and S96. The second portion contains C223, S282, C316, V321, S365, and S368. The third portion contains M414, L419, M423, Y448, I482, and V494. Overlapping primers and seminested PCR were used to increase the amplification success rate. DNA was sequenced in both directions using an ABI Prism 3,730 genetic analyzer (Applied Biosystems; Thermo Fisher Scientific, Inc., Waltham, MA, USA). The sequencing assay was successful in samples containing 1000 IU/mL HCV RNA.

The gene sequence was aligned using the Clustal X program. The NS4A/B, NS5A, and NS5B mutations were analyzed according to the mutations reported in previous studies [2325]. The comparison was performed according to a subtype 6a isolate (GenBank accession number AY859526). Negative results indicated that the loci had no RAVs when positive results indicated that the loci had RAVs.

2.5. Statistical Analysis

SPSS 19.0 (IBM, Armonk, NY, USA) was employed to perform statistical analysis. The clinical characteristics are presented as percentage, or means with standard deviations (SD), or median (minimum, maximum) and two-tailed Student -test, nonparameters, one-AVOVA analysis, and the Mann–Whitney test were adopted to determine the statistical difference, and < 0.05 was considered to be significant.

3. Results

3.1. Baseline Characteristics of the Patients

The three HCV genes were amplified in 88 of 95 cases. Their mean age was 33.6 ± 14.2 years. 55 patients (62.5%) out of 88 were males and 33 patients (37.5%) were females. Their mean HCV load was 6.9 ± 0.7 (IU/ml log10). None of the patients had liver cirrhosis. RVR (rapid virological response), EVR (early virological response), and SVR to the PEG-IFN/RBV treatment were 75.0% (66/88), 78.4% (69/88), and 83.0% (73/88), respectively (Table 1).

Table 1: Characteristics of HCV 6a-infected patients with mutations.
3.2. Prevalence of RAVs to NS3/4A Protein Protease Inhibitors (PIs)

The success rate of amplification of NS3 was 92.6% (88/95) and the RAVs were present in 100% (88/88) of the isolates. Mutations Q80K and D168E that confer resistance to asunaprevir, paritaprevir, and simeprevir were found in 95.5% (84/88) and 2.3% (2/88) of the isolates, respectively. V36L conferring low-level resistance to telaprevir and boceprevir were found in 4.5% (4/88) of the patients. The frequency of V170I was 98.8% (87/88). However, previous reports indicated that V170I is of unknown clinical relevance (Table 2). In the HCV genotype 1b group, the success rate of amplification of NS3 was 81.08% (60/74). The mutation rate was 38.33% (23/60). Mutations Q80K, D168E, and V36L were not detected in HCV genotype 1b group. Mutations D168Y that confer resistance to asunaprevir, paritaprevir, and simeprevir were found in 1.67% (1/60) of the isolates (Table 2).

Table 2: RAVs to HCV NS3/4A inhibitors.
3.3. Prevalence of RAVs in NS5A

The success rate of amplification of NS5A was 92.6% (88/95) and the prevalence was 100% (88/88). Mutations Q30R and L31M conferring resistance to daclatasvir, ombitasvir, and ledipasvir were found in 82 (93.2%, 82/88) and 4 (4.6%, 4/88) cases, respectively. Mutation H58P associated with resistance to daclatasvir was observed in 6 (6.8%, 6/88) cases. Other RAVs such as M28L, M28F, H54Q, H54T, H58S, H58T, Y93T, and Y93A which were not correlated with clinically relevant resistance were also present at different frequencies (Table 3). In the HCV genotype 1b group, the success rate of amplification was 79.7% (59/74). The mutation rate was 100% (59/59). There were 34 cases (57.6%, 34/59) with Q30R mutation, 1 (1.69%, 1/59) case with L31M mutation, and 51 cases (86.4%, 51/59) with H58P mutation.

Table 3: RAVs to HCV NS5A inhibitors.
3.4. Prevalence of RAVS in NS5B

Amplification of NS5B was 92.6% (88/95), 86.3% (82/95), and 4.2% (4/95) for the 5′-end, middle part, and 3′-end, respectively, with 93.2% (69/74), 81.08% (60/74), and 68.92% (51/74), respectively, in the HCV genotype 1b group.

There were 2 (2.3%, 2/88) cases with A15G conferring resistance to PSI-352938 and PSI-353661 with 1 (1.1%, 1/88) case with S96T which associated with resistance to sofosbuvir and mericitabine. Remarkably, 20.7% (17/82) of the cases had the main RAVs S282T which confers resistance to sofosbuvir and mericitabine. We detected 2 cases with I482L + V499A and 2 cases with I482L + V494A + V499A which associated with resistance to tegobuvir, JTK-109, and deleobuvir (Tables 4 and 5). In the HCV genotype 1b group, we detected no case with A15G, S96T, and S282T mutation.

Table 4: RAVs to nucleoside/nucleotide analogue NS5B inhibitors.
Table 5: RAVs to nonnucleoside NS5B inhibitors.
3.5. Prevalence of Multiple RAVs

We also found that 87.5% (77/88) of the isolates showed two or more RAVs. There were 53 cases with (NS3-Q80K) + (NS5A-Q30R) and 2 cases with (NS3-Q80K) + (NS5A-Q30R + H58P). There were 13 cases with (NS3-Q80K) + (NS5A-Q30R) + (NS5B-S282T), 2 cases with (NS3-Q80K) + (NS5A-Q30R) + (NS5B-A15G + S282T), 1 case with (NS3-Q80K) + (NS5A-Q30R) + (NS5B-S96T), and 1 case with (NS3-Q80K + D168E) + (NS5A-Q30R) + (NS5B-S282T) with resistance to NS3/4A, NS5A, and NS5B inhibitors such as paritaprevir, daclatasvir, ledipasvir, and sofosbuvir (Table 6). We also found that 85.5% (59/69) of the patients have 2 or more than 2 RAVs which will result in high resistance towards DAAs and resistance to multiple DAAs in the HCV genotype 1b group.

Table 6: Multiple RAVs to DAAs.

4. Discussion

Little data have been published on the natural occurrence of viral variants in HCV genotype 6a; in our study, we investigate the RAVs in DAAs treatment-naive HCV-6a-infected patients. Naturally occurring RAVs may influence virologic response and the efficacy of DAAs-based therapy may be attenuated by the naturally occurring RAVs. It was reported that only 39% of patients with naturally occurring RAVs of NS5A-L31, NS5A-Y93, and NS3-D168 achieved SVR after treatment with daclatasvir and asunaprevir combination therapy, while the SVR rate was 92% in patients without these RAVs [35, 36]. Baseline identification of naturally occurring RAVs in treatment-naïve patients may be helpful for introducing DAAs therapies.

Some RAVs to DAAs were observed in our study. It had been detected that the main sites (R155 and A156) witness less variation, whereas the second sites (V36, T54, Q80, D168, V170) witness variation more frequently. Our study showed that 95.5% (84/88) genotype 6a isolates showed Q80K and 2.3% (2/88) isolates showed D168E which is associated with resistance to PIs such as asunaprevir, paritaprevir, and simeprevir. Paritaprevir combined with ombitasvir, ritonavir, and dasabuvir is IFN-free regimen to treat HCV infections [9]. It is reported that no RAVs to NS3 PIs have been observed in genotype 6 isolates [37] which is in contrast to our finding. This may be due to differences of HCV genotype epidemiology. The prevalence of 95.5% for Q80K for HCV genotype 6a was higher than other genotypes [17, 19, 37]. Q80K may result in high drug resistance which was not detected in genotype 1b isolates in our study. The Q80K variant was associated with different levels of resistance to some approved NS3 PIs (asunaprevir, paritaprevir, and simeprevir). SVR rates in simeprevir-based treatment-naïve HCV genotype 1a infected patients with and without the Q80K variant were 58% versus 84% [25, 27]. NS3/4A PIs may be not suitable for treating HCV genotype 6a patients for the high prevalence of Q80K mutation. Different from the previous studies, main mutations such as R155 and A156 which may result in high drug resistance were not detected in our study when some other variations were found, including V36L and V170I, which have not yet been linked to clinical resistance.

RAVs to NS5A inhibitors are frequently detected as natural variants in HCV genotype 1 infected DAAs-naïve patients. The rate of natural occurrence drug resistance mutations to NS5A inhibitors was estimated at 29.6% by HCV genomic sequencing [38]. In contrast, our study found that the prevalence of naturally occurring RAVs was extremely high; for instance, the prevalence of Q30R, H58P, and L31M was 93.2% (82/88), 6.8% (6/88), and 4.6% (4/88), respectively. The mutation rate of Q30R was 57.63% (34/59) when H58P was 86.44% (51/59) in genotype 1b isolates in our study. We show that the RAV Q30R conferring high levels of resistance to NS5A [13] inhibitors in genotype 1a viruses was prevalent in genotype 6a viruses infecting our Han population. Y93H which confers medium to high level resistance to all three approved NS5A inhibitors (daclatasvir, ombitasvir, and ledipasvir) was not detected in HCV genotype 6a-infected patients and was detected in 5.08% of the genotype 1b isolates. This data seems to be in conflict with the significant prevalence of Y93H in the European and the US HCV genotype 1 isolates (15.0% and 9.3%) [30]. It was reported that 44.4% patients with baseline Y93 or L31 achieved SVR when 89.0% patients without baseline Y93 or L31 achieved SVR after daclatasvir-containing treatment [39]. Dual combinations of mutations confer a higher degree of drug resistance to NS5A PIs such as L31V + Y93H or L31M + Y93H. Cross-resistance is expected between daclatasvir and ledipasvir, mainly due to the presence of mutations at positions L31 and Y93 [40]. Two isolates had dual combinations of mutations L31M + H58P, one patient had Q30R + L31M, and two patients had Q30R + H58P. Their levels of resistance are unknown.

The HCV NS5B is the last nonstructural gene sequence of HCV and is located in the end part genome of the virus. The variation of NS5B amino acid sequence can influence DAAs antiviral capacity and genetic barrier. Main mutations such as S282T which may result in high drug resistance were not detected in genotype 1 isolates in our study. In contrast, we detected 2.3% (2/88) patients had A15G, 1.1% (1/88) patients had S96T, and 20.7% (17/82) patients had S282T which confers resistance to nucleoside/nucleotide analogue NS5B inhibitors, such as PSI-352938, PSI-353661, sofosbuvir, and mericitabine. Sofosbuvir is widely used in DAA-based antiviral therapies and S282T is a major mutation in the NS5B gene which confers high level resistance to sofosbuvir [13]. S282T may result in virologic relapse and sofosbuvir-containing regimens treatment failure [6, 35]. At another aspect, we detected 2 isolates had V494A, 4 patients had I482L, and 4 isolates had V499A which confers resistance to nonnucleoside analogue NS5B inhibitors such as tegobuvir, JTK-109, and deleobuvir.

In addition, we detected that 87.5% isolates harbor one or more RAVs. Chen et al. reported that multiple RAVs were observed, but the frequencies were extremely low [38]. However, Patiño-Galindo et al. reported that, for genotype 6, 67.1% of the sequences presented at least two natural RAVs [41]. Our study showed that multiple RAVs to DAAs were common (87.5%) and even occurred with a higher frequency than the frequency reported by Patiño-Galindo et al. Viruses carrying combinations of RAVs in two or three HCV genes might increase the possibility of failure of combination DAA regimes.

IFN-free regimens were recently recommended for the clinical treatment of HCV infections [2, 9, 10]. They are combined with different types of DAAs, such as NS5A inhibitors and NS5B polymerase inhibitors, NS3/4A protease inhibitors, and NS5B polymerase inhibitors or NS3/4A protease inhibitors, NS5A inhibitors, and NS5B polymerase inhibitors. Whether the multiple RAVs will interfere with the efficacy of IFN-free regimens deserves further studies.

This study had certain limitations. The amplification of the third fragment of NS5B gene was not so successful. Available data to date on RAVs is mainly from the study on HCV genotypes 1–5 and the effect of RAVs in genotype 6a is still not certain.

5. Conclusions

In conclusion, RAVs to all three classes of DAAs do exist in untreated HCV-6a-infected patients and their prevalence is high including RAVs associated with clinical resistance to simeprevir, paritaprevir, daclatasvir, ledipasvir, and sofosbuvir. These results may be associated with the different HCV genotype epidemiology in our region. The pattern of the prevalence of RAVs to DAAs is different between HCV-6a-infected patients and HCV-1b-infected patients.

Although the DAAs are not available in China Mainland and the PEG-IFN/RBV therapy is still the SOC for HCV patients, clinicians may consider RAVs as possible challenge for DAA-based antiviral therapies for HCV genotype 6a infection. Resistance testing might help to select the most optimized treatment option. Further studies are needed to find out the impact of naturally present RAVs in response to DAA-based therapies for HCV-6a infected patients.

Conflicts of Interest

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Authors’ Contributions

Zhanyi Li and Ying Liu contributed equally to the work. Zhanyi Li, Qingxian Cai, Zhixin Zhao, and Yutian Chong designed the experiments; Ying Liu performed the article associated viral test; Ying Lu, Ying Zhang, Xiaoyan Guo, and Shaoxiao Qiong collected the data; Yutian Chong and Guoli Lin helped with the revision. Zhanyi Li analyzed the data and wrote the main manuscript text and all authors reviewed the manuscript.

Acknowledgments

This work was supported by the Natural Science Foundation of Guangdong Province, China (2015A030310427), Medical Scientific Research Foundation of Guangdong Province, China (A2014236), the Planned Project of Guangdong Province (20128031800069), and Sun Yat-Sen Clinical Research 5010 Program (2016009).

References

  1. E. Gower, C. C. Estes, S. Hindman, K. Razavi-Shearer, and H. Razavi, “Global epidemiology and genotype distribution of the hepatitis C virus,” Journal of Hepatology, supplement 1, pp. S45–S57, 2014. View at Publisher · View at Google Scholar
  2. WH Organization, “Guidelines for the screening , care and treatment of persons with hepatitis C infection,” 2014.
  3. S. J. Hadziyannis, H. Sette Jr., T. R. Morgan et al., “eginterferon-α2a and ribavirin combination therapy in chronic hepatitis C: a randomized study of treatment duration and ribavirin dose,” Annals of Internal Medicine, vol. 140, no. 5, pp. 346–I67, 2004. View at Publisher · View at Google Scholar · View at Scopus
  4. J.-M. Pawlotsky, S. Chevaliez, and J. G. McHutchison, “The hepatitis C virus life cycle as a target for new antiviral therapies,” Gastroenterology, vol. 132, no. 5, pp. 1979–1998, 2007. View at Publisher · View at Google Scholar · View at Scopus
  5. V. Soriano, E. Vispo, E. Poveda et al., “Directly acting antivirals against hepatitis C virus,” Journal of Antimicrobial Chemotherapy, vol. 66, no. 8, Article ID dkr215, pp. 1673–1686, 2011. View at Publisher · View at Google Scholar · View at Scopus
  6. E. Lawitz, F. F. Poordad, P. S. Pang et al., “Sofosbuvir and ledipasvir fixed-dose combination with and without ribavirin in treatment-naive and previously treated patients with genotype 1 hepatitis C virus infection (LONESTAR): an open-label, randomised, phase 2 trial,” The Lancet, vol. 383, no. 9916, pp. 515–523, 2014. View at Publisher · View at Google Scholar · View at Scopus
  7. L. M. Hagan, M. S. Sulkowski, and R. F. Schinazi, “Cost analysis of sofosbuvir/ribavirin versus sofosbuvir/simeprevir for genotype 1 hepatitis C virus in interferon-ineligible/intolerant individuals,” Hepatology, vol. 60, no. 1, pp. 37–45, 2014. View at Publisher · View at Google Scholar · View at Scopus
  8. J. M. Vierling, M. Davis, S. Flamm et al., “Boceprevir for chronic HCV genotype 1 infection in patients with prior treatment failure to peginterferon/ribavirin, including prior null response,” Journal of Hepatology, vol. 60, no. 4, pp. 748–756, 2014. View at Publisher · View at Google Scholar · View at Scopus
  9. AASLD/IDSA HCV Guidance Panel, “Hepatitis C guidance: AASLD-IDSA recommendations for testing, managing, and treating adults infected with hepatitis C virus,” Hepatology, vol. 62, no. 3, pp. 932–954, 2015. View at Publisher · View at Google Scholar
  10. European Association for the Study of the Liver, “EASL recommendations on treatment of Hepatitis C 2015,” Journal of Hepatology, vol. 63, no. 1, pp. 199–236, 2015. View at Publisher · View at Google Scholar
  11. S. Zeuzem, “Clinical implications of hepatitis C viral kinetics,” Journal of Hepatology, vol. 31, no. 1, pp. 61–64, 1999. View at Google Scholar · View at Scopus
  12. P. Halfon and C. Sarrazin, “Future treatment of chronic hepatitis C with direct acting antivirals: Is resistance important?” Liver International, vol. 32, no. 1, pp. 79–87, 2012. View at Publisher · View at Google Scholar · View at Scopus
  13. D. J. Bartels, J. C. Sullivan, E. Z. Zhang et al., “Hepatitis C virus variants with decreased sensitivity to direct-acting antivirals (DAAs) were rarely observed in DAA-naive patients prior to treatment,” Journal of Virology, vol. 87, no. 3, pp. 1544–1553, 2013. View at Publisher · View at Google Scholar · View at Scopus
  14. J. Dietz, S. Susser, C. Berkowski, D. Perner, S. Zeuzem, and C. Sarrazin, “Consideration of viral resistance for optimization of direct antiviral therapy of hepatitis C virus genotype 1-infected patients,” PLoS ONE, vol. 10, no. 8, article e0134395, 2015. View at Publisher · View at Google Scholar · View at Scopus
  15. A. M. Lam, C. Espiritu, S. Bansal et al., “Hepatitis C virus nucleotide inhibitors PSI-352938 and PSI-353661 exhibit a novel mechanism of resistance requiring multiple mutations within replicon RNA,” Journal of Virology, vol. 85, no. 23, pp. 12334–12342, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. I.-H. Shih, I. Vliegen, B. Peng et al., “Mechanistic characterization of GS-9190 (tegobuvir), a novel nonnucleoside inhibitor of hepatitis C virus NS5B polymerase,” Antimicrobial Agents and Chemotherapy, vol. 55, no. 9, pp. 4196–4203, 2011. View at Publisher · View at Google Scholar · View at Scopus
  17. M. Tanaka, F. Katayama, H. Kato et al., “Hepatitis B and C virus infection and hepatocellular carcinoma in China: a review of epidemiology and control measures,” Journal of Epidemiology, vol. 21, no. 6, pp. 401–416, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. X. Rong, R. Xu, H. Xiong et al., “Increased prevalence of hepatitis C virus subtype 6a in China: a comparison between 2004–2007 and 2008–2011,” Archives of Virology, vol. 159, no. 12, pp. 3231–3237, 2014. View at Publisher · View at Google Scholar · View at Scopus
  19. Y. Fu, Y. Wang, W. Xia et al., “New trends of HCV infection in China revealed by genetic analysis of viral sequences determined from first-time volunteer blood donors,” Journal of Viral Hepatitis, vol. 18, no. 1, pp. 42–52, 2011. View at Publisher · View at Google Scholar · View at Scopus
  20. R. Chenna, H. Sugawara, T. Koike et al., “Multiple sequence alignment with the Clustal series of programs,” Nucleic Acids Research, vol. 31, no. 13, pp. 3497–3500, 2003. View at Publisher · View at Google Scholar · View at Scopus
  21. D. B. Smith, J. Bukh, C. Kuiken et al., “Expanded classification of hepatitis C virus into 7 genotypes and 67 subtypes: updated criteria and genotype assignment web resource,” Hepatology, vol. 59, no. 1, pp. 318–327, 2014. View at Publisher · View at Google Scholar · View at Scopus
  22. K. Tamura, J. Dudley, M. Nei, and S. Kumar, “MEGA4: molecular evolutionary genetics analysis (MEGA) software version 4.0,” Molecular Biology and Evolution, vol. 24, no. 8, pp. 1596–1599, 2007. View at Publisher · View at Google Scholar · View at Scopus
  23. C. Hézode, N. Forestier, G. Dusheiko et al., “Telaprevir and peginterferon with or without ribavirin for chronic HCV infection,” The New England Journal of Medicine, vol. 360, no. 18, pp. 1839–1850, 2009. View at Publisher · View at Google Scholar · View at Scopus
  24. J. Guedj, P. S. Pang, J. Denning et al., “Analysis of hepatitis C viral kinetics during administration of two nucleotide analogues: sofosbuvir (GS-7977) and GS-0938,” Antiviral Therapy, vol. 19, no. 2, pp. 211–220, 2014. View at Publisher · View at Google Scholar · View at Scopus
  25. T. Kuntzen, J. Timm, A. Berical et al., “Naturally occurring dominant resistance mutations to hepatitis C virus protease and polymerase inhibitors in treatment-naïve patients,” Hepatology, vol. 48, no. 6, pp. 1769–1778, 2008. View at Publisher · View at Google Scholar · View at Scopus
  26. J. A. Howe, J. Long, S. Black et al., “Clinical implications of detectable baseline hepatitis C virus-genotype 1 NS3/4A-protease variants on the efficacy of boceprevir combined with peginterferon/ribavirin,” Open Forum Infectious Diseases, vol. 1, no. 2, 2014. View at Publisher · View at Google Scholar
  27. S. Gaudieri, A. Rauch, K. Pfafferott et al., “Hepatitis C virus drug resistance and immune-driven adaptations: relevance to new antiviral therapy,” Hepatology, vol. 49, no. 4, pp. 1069–1082, 2009. View at Publisher · View at Google Scholar · View at Scopus
  28. O. Lenz, T. Verbinnen, B. Fevery et al., “Virology analyses of HCV isolates from genotype 1-infected patients treated with simeprevir plus peginterferon/ribavirin in Phase IIb/III studies,” Journal of Hepatology, vol. 62, no. 5, pp. 1008–1014, 2015. View at Publisher · View at Google Scholar
  29. S. Vallet, F. Viron, C. Henquell et al., “NS3 protease polymorphism and natural resistance to protease inhibitors in French patients infected with HCV genotypes 1–5,” Antiviral Therapy, vol. 16, no. 7, pp. 1093–1102, 2011. View at Publisher · View at Google Scholar · View at Scopus
  30. C. Sarrazin, H. Dvory-Sobol, E. S. Svarovskaia, B. Doehle, J. F. McCarville, and P. S. Pang, “Baseline and post-baseline resistance analyses of phase 2/3 studies of ledipasvir/sofosbuvir +/- RBV,” Hepatology, vol. 60, article 1128a, 2014. View at Google Scholar
  31. Z. Plaza, V. Soriano, E. Vispo et al., “Prevalence of natural polymorphisms at the HCV NS5A gene associated with resistance to daclatasvir, an NS5A inhibitor,” Antiviral Therapy, vol. 17, no. 5, pp. 921–926, 2012. View at Publisher · View at Google Scholar · View at Scopus
  32. D. Hernandez, N. Zhou, J. Ueland, A. Monikowski, and F. McPhee, “Natural prevalence of NS5A polymorphisms in subjects infected with hepatitis C virus genotype 3 and their effects on the antiviral activity of NS5A inhibitors,” Journal of Clinical Virology, vol. 57, no. 1, pp. 13–18, 2013. View at Publisher · View at Google Scholar · View at Scopus
  33. S. Paolucci, L. Fiorina, B. Mariani et al., “Naturally occurring resistance mutations to inhibitors of HCV NS5A region and NS5B polymerase in DAA treatment-naïve patients,” Virology Journal, vol. 10, article 355, 2013. View at Publisher · View at Google Scholar · View at Scopus
  34. V. C. Di Maio, V. Cento, C. Mirabelli et al., “Hepatitis C virus genetic variability and the presence of NS5B resistance-associated mutations as natural polymorphisms in selected genotypes could affect the response to NS5B inhibitors,” Antimicrobial Agents and Chemotherapy, vol. 58, no. 5, pp. 2781–2797, 2014. View at Publisher · View at Google Scholar · View at Scopus
  35. E. Poveda, D. L. Wyles, Á. Mena, J. D. Pedreira, Á. Castro-Iglesias, and E. Cachay, “Update on hepatitis C virus resistance to direct-acting antiviral agents,” Antiviral Research, vol. 108, pp. 181–191, 2014. View at Publisher · View at Google Scholar · View at Scopus
  36. M. Manns, S. Pol, I. M. Jacobson, P. Marcellin, S. C. Gordon, C. Y. Peng et al., “All-oral daclatasvir plus asunaprevir for hepatitis C virus genotype 1b: a multinational, phase 3, multicohort study,” The Lancet, vol. 384, no. 9954, pp. 1576–1605, 2014. View at Publisher · View at Google Scholar · View at Scopus
  37. O. Lenz, L. Vijgen, J. M. Berke et al., “Virologic response and characterisation of HCV genotype 2–6 in patients receiving TMC435 monotherapy (study TMC435-C202),” Journal of Hepatology, vol. 58, no. 3, pp. 445–451, 2013. View at Publisher · View at Google Scholar · View at Scopus
  38. Z.-W. Chen, H. Li, H. Ren, and P. Hu, “Global prevalence of pre-existing HCV variants resistant to direct-acting antiviral agents (DAAs): mining the GenBank HCV genome data,” Scientific Reports, vol. 6, Article ID 20310, 2016. View at Publisher · View at Google Scholar · View at Scopus
  39. S. Zeuzem, C. Hézode, J.-P. Bronowicki et al., “Daclatasvir plus simeprevir with or without ribavirin for the treatment of chronic hepatitis C virus genotype 1 infection,” Journal of Hepatology, vol. 64, no. 2, pp. 292–300, 2016. View at Publisher · View at Google Scholar · View at Scopus
  40. M. Gao, “Antiviral activity and resistance of HCV NS5A replication complex inhibitors,” Current Opinion in Virology, vol. 3, no. 5, pp. 514–520, 2013. View at Publisher · View at Google Scholar · View at Scopus
  41. J. Á. Patiño-Galindo, K. Salvatierra, F. González-Candelas, and F. X. López-Labrador, “Comprehensive screening for naturally occurring hepatitis c virus resistance to direct-acting antivirals in the NS3, NS5A, and NS5B genes in worldwide isolates of viral genotypes 1 to 6,” Antimicrobial Agents and Chemotherapy, vol. 60, no. 4, pp. 2402–2416, 2016. View at Publisher · View at Google Scholar · View at Scopus