Natural variability of NS3 protease in patients infected with genotype 4 hepatitis C virus (HCV): implications for antiviral treatment using specifically targeted antiviral therapy for HCV

Hepatitis C genotype 4: A report on resistance-associated substitutions in NS3, NS5A, and NS5B genes

AUTHOR CONTRIBUTION

FN performed the literature review and wrote the manuscript; STZ coauthored, edited, and reviewed the manuscript.

ABSTRACT

Treatment response in Hepatitis C virus (HCV) has generated varied effects in patients. Recently, nonresponsive and relapse patients related to host and genotype variabilities have been reported in clinical trials. However, these trials included minimal sample sizes of patients with genotype 4, the most prevalent genotype in Egypt and the Middle East, compared with genotypes 1 and 2. The genetic variabilities that have been detected within the HCV genes, especially the ones associated with genotype 4, and are linked to treatment response, will be the focus of this review with emphasis on direct acting antiviral agents. In addition, the major studies and clinical trials performed globally and their inclusivity of genotype 4 are reported. This review also delineates future study areas and missing data that need further investigation when it comes to genotype 4.

Efficacy of daclatasvir-based quadruple therapy in nonresponder patients infected by hepatitis C virus genotype 4: the ANRS HC32 QUATTRO study

BACKGROUND

A few direct antiviral agents have been studied in difficult-to-treat patients infected by hepatitis C virus (HCV) genotype 4 (GT4). The efficacy of daclatasvir (DCV), asunaprevir (ASV), pegylated interferon and ribavirin (Peg-IFN/RBV) association was investigated in these patients.

PATIENTS AND METHODS

This open-label, single-arm, phase 2 study was conducted in HCV GT4 patients who were null or partial responders to Peg-IFN/RBV. Patients received 24 weeks of DCV (60 mg, once daily), ASV (100 mg, twice daily) and Peg-IFN/RBV. The primary endpoint was sustained virologic response at post-treatment week 12 [sustained virologic response (SVR)12].

RESULTS

Sixty patients were included; 45 (75%) were previous null responders and 27 (45%) had cirrhosis. The most frequent subtypes were GT4a (48%) and GT4d (27%) with 25% of the patients being infected with other subtypes such as 4c, 4r, 4f, 4k, 4j and 4q. The global SVR12 was 95% (90% confidence interval: 90.4-99.6) and 96.3% (90% confidence interval: 87.5-99.5) in cirrhotic patients. All patients achieving SVR12 also achieved SVR24. Previous Peg-IFN/RBV response, IL28b genotype, cirrhosis status or GT4 subtypes did not influence SVR12 rates. Serious adverse events occurred in 13% of the patients, four being cirrhotic and four noncirrhotic. Three (5%) patients stopped HCV therapy prematurely: one because of virologic breakthrough and two because of serious adverse events. Grade 3/4 laboratory abnormalities included leukopenia (33%), neutropenia (27%), thrombocytopenia (4%) and transaminases increase (2%).

CONCLUSION

Association of DCV plus ASV and peg-IFN/RBV for 24 weeks demonstrated a high rate of SVR12 in HCV GT4-infected prior nonresponders, independently of the cirrhotic status or the GT4 subtype. The safety profile was acceptable, even in cirrhotic patients.

Anti-HCV therapy: Whether it comes into the age of DAA-based specific therapy?

Hepatitis C virus (HCV) infection is one of the main causes of chronic liver diseases. Direct-acting antiviral (DAA) agents undoubtedly bring hope for patients who cannot tolerate or are not suitable for interferon therapy. There have been six foreign guidelines for anti-HCV therapy in 2014, and in October this year, China also updated its guideline for the diagnosis and treatment of HCV infection. In this paper I review the current status and future perspectives of HCV treatment.

Diversity of 1,213 hepatitis C virus NS3 protease sequences from a clinical virology laboratory database in Marseille university hospitals, southeastern France

Infection with hepatitis C virus (HCV) represents a major public health concern worldwide. Recent therapeutic advances have been considerable, HCV genotype continuing to guide therapeutic management. Since 2008, HCV genotyping in our clinical microbiology laboratory at university hospitals of Marseille, Southeastern France, has been based on NS3 protease gene population sequencing, to allow concurrent HCV genotype and protease inhibitor (PI) genotypic resistance determinations. We aimed, first, to analyze the genetic diversity of HCV NS3 protease obtained from blood samples collected between 2003 and 2013 from patients monitored at university hospitals of Marseille and detect possible atypical sequences; and, second, to identify NS3 protease amino acid patterns associated with decreased susceptibility to HCV PIs. A total of 1,213 HCV NS3 protease sequences were available in our laboratory sequence database. We implemented a strategy based on bioinformatic tools to determine whether HCV sequences are representative of our local HCV genetic diversity, or divergent. In our 2003-2012 HCV NS3 protease sequence database, we delineated 32 clusters representative of the majority HCV genetic diversity, and 61 divergent sequences. Five of these divergent sequences showed less than 85% nucleotide identity with their top GenBank hit. In addition, among the 294 sequences obtained in 2013, three were divergent relative to these 32 previously delineated clusters. Finally, we detected both natural and on-treatment genotypic resistance to HCV NS3 PIs, including a substantial prevalence of Q80K substitutions associated with decreased susceptibility to simeprevir, a second generation PI.

High-resolution hepatitis C virus subtyping using NS5B deep sequencing and phylogeny, an alternative to current methods

Hepatitis C virus (HCV) is classified into seven major genotypes and 67 subtypes. Recent studies have shown that in HCV genotype 1-infected patients, response rates to regimens containing direct-acting antivirals (DAAs) are subtype dependent. Currently available genotyping methods have limited subtyping accuracy. We have evaluated the performance of a deep-sequencing-based HCV subtyping assay, developed for the 454/GS-Junior platform, in comparison with those of two commercial assays (Versant HCV genotype 2.0 and Abbott Real-time HCV Genotype II) and using direct NS5B sequencing as a gold standard (direct sequencing), in 114 clinical specimens previously tested by first-generation hybridization assay (82 genotype 1 and 32 with uninterpretable results). Phylogenetic analysis of deep-sequencing reads matched subtype 1 calling by population Sanger sequencing (69% 1b, 31% 1a) in 81 specimens and identified a mixed-subtype infection (1b/3a/1a) in one sample. Similarly, among the 32 previously indeterminate specimens, identical genotype and subtype results were obtained by direct and deep sequencing in all but four samples with dual infection. In contrast, both Versant HCV Genotype 2.0 and Abbott Real-time HCV Genotype II failed subtype 1 calling in 13 (16%) samples each and were unable to identify the HCV genotype and/or subtype in more than half of the non-genotype 1 samples. We concluded that deep sequencing is more efficient for HCV subtyping than currently available methods and allows qualitative identification of mixed infections and may be more helpful with respect to informing treatment strategies with new DAA-containing regimens across all HCV subtypes.

Molecular epidemiology of newly acquired hepatitis C infections in England 2008-2011: genotype, phylogeny and mutation analysis

BACKGROUND

Analysis of laboratory testing data collected through the Sentinel Surveillance programme has provided a method for identifying individuals who have recently acquired their hepatitis C virus (HCV) infection. Access to samples from these individuals provided a rare opportunity to undertake molecular characterization studies.

OBJECTIVES

To describe the epidemiology and genetic diversity of hepatitis C in recent seroconverter infections and to predict how this will impact on HCV treatment and control.

STUDY DESIGN

One hundred and forty seven samples were available from individuals, identified to have recently acquired their HCV infection. Genotype determination with additional phylogenetic analysis was carried out on NS5B sequences. Analysis across the NS3 region investigated the presence of antiviral resistance mutations. Where possible, molecular data was linked to demographic and risk/behavioural factor information.

RESULTS

The majority of new infections occurred in males with a mean age of 37 years. The most commonly observed genotypes were 1a (49%) and 3a (42%) and injecting drug use (58%) was the most common risk factor. Genotype distribution differed between persons who inject drugs and those with other risk factors suggesting two possible epidemics. Phylogenetic analysis indicated possible transmission networks within specific risk groups. Amino acid changes associated with antiviral resistance were noted in the NS3 region in some samples.

CONCLUSIONS

Continued surveillance of linked molecular, virological, demographic and epidemiological information on recently acquired infections will contribute to understanding the on-going HCV epidemic in England.

Whole genome pyrosequencing of rare hepatitis C virus genotypes enhances subtype classification and identification of naturally occurring drug resistance variants

BACKGROUND

 Infection with hepatitis C virus (HCV) is a burgeoning worldwide public health problem, with 170 million infected individuals and an estimated 20 million deaths in the coming decades. While 6 main genotypes generally distinguish the global geographic diversity of HCV, a multitude of closely related subtypes within these genotypes are poorly defined and may influence clinical outcome and treatment options. Unfortunately, the paucity of genetic data from many of these subtypes makes time-consuming primer walking the limiting step for sequencing understudied subtypes.

METHODS

 Here we combined long-range polymerase chain reaction amplification with pyrosequencing for a rapid approach to generate the complete viral coding region of 31 samples representing poorly defined HCV subtypes.

RESULTS

 Phylogenetic classification based on full genome sequences validated previously identified HCV subtypes, identified a recombinant sequence, and identified a new distinct subtype of genotype 4. Unlike conventional sequencing methods, use of deep sequencing also facilitated characterization of minor drug resistance variants within these uncommon or, in some cases, previously uncharacterized HCV subtypes.

CONCLUSIONS

 These data aid in the classification of uncommon HCV subtypes while also providing a high-resolution view of viral diversity within infected patients, which may be relevant to the development of therapeutic regimens to minimize drug resistance.

NS3 protease polymorphism and natural resistance to protease inhibitors in French patients infected with HCV genotypes 1-5

BACKGROUND

Resistant HCV populations may pre-exist in patients before NS3 protease inhibitor therapy and would likely be selected under specific antiviral pressure. The higher prevalence and lower rate of response to treatment associated with HCV genotype 1 infections has led to drug discovery efforts being focused primarily on enzymes produced by this genotype. Protease inhibitors may also be useful for non-genotype-1-infected patients, notably for non-responders.

METHODS

We investigated the prevalence of dominant resistance mutations and polymorphism in 298 HCV protease-inhibitor-naive patients infected with HCV genotypes 1, 2, 3, 4 or 5. Genotype-specific NS3 primers were designed to amplify and sequence the NS3 protease gene.

RESULTS

None of the 233 analysed sequences contained major telaprevir (TVR) or boceprevir (BOC) resistance mutations (R155K/T/M, A156S/V/T and V170A). Some substitutions (V36L, T54S, Q80K/R, D168Q and V170T) linked to low or moderate decreases in HCV sensitivity to protease inhibitors were prevalent according to genotype (between 2% and 100%). Other than genotype signature mutations at positions 36, 80 and 168, the most frequent substitution was T54S (4 genotype 1 and 2 genotype 4 sequences). All genotype 2-5 sequences had the non-genotype-1 signature V36L mutation known to confer low-level resistance to both TVR and BOC.

CONCLUSIONS

We have developed an HCV protease NS3 inhibitor resistance genotyping tool suitable for use with HCV genotypes 1-5. Polymorphism data is valuable for interpreting genotypic resistance profiles in cases of failure of anti-HCV NS3 protease treatment.

Treatment of non-genotype 1 hepatitis C virus patients

The HCV genotype will remain an important, independent pre-treatment predictor of virological response. While direct acting antivirals (DAA) will improve in the coming months the rates of virological response in patients with HCV-1, the development of DAAs effective against other HCV genotypes is at an earlier stage. Therefore, Peg-Interferon and Ribavirin will continue to be used in the near future as standard treatment in these patients. In this manuscript, we will discuss highly debated aspects related to non-1 HCV genotypes. First of all, the predictive role of IL28B genetic variation, secondarily specific aspects related to HCV-4. In the final part, we will highlight potential differences between HCV-2 and HCV-3. Indeed, despite the fact that HCV-2 and HCV-3 have been evaluated together in the majority of studies, HCV-3 patients achieve lower rates of virological response as compared to HCV-2. Whether a genotype individualized treatment may increase virologic response is the object of current investigations.

Susceptibility of treatment-naive hepatitis C virus (HCV) clinical isolates to HCV protease inhibitors

In order to assess the natural variation in susceptibility to hepatitis C virus (HCV) NS3 protease inhibitors (PIs) among untreated HCV patient samples, the susceptibilities of 39 baseline clinical isolates were determined using a transient-replication assay on a panel of HCV PIs, including two α-ketoamides (VX-950 and SCH-503034) and three macrocyclic inhibitors (MK-7009, ITMN-191, and TMC-435350). Some natural variation in susceptibility to all HCV PIs tested was observed among the baseline clinical isolates. The susceptibility to VX-950 correlated strongly with the susceptibility to SCH-503034. A moderate correlation was observed between the susceptibilities to ITMN-191 and MK-7009. In contrast, the phenotypic correlations between the α-ketoamides and macrocyclic inhibitors were significantly lower. This difference is partly attributable to reduced susceptibility of the HCV variants containing the NS3 polymorphism Q80K (existing in 47% of genotype 1a isolates) to the macrocyclic compounds but no change in the sensitivity of the same variants to the α-ketoamides tested. Our results suggest that the natural variation in baseline susceptibility may contribute to different degrees of antiviral response among patients in vivo, particularly at lower doses.