Identification of PTC725, an orally bioavailable small molecule that selectively targets the hepatitis C Virus NS4B protein.

While new direct-acting antiviral agents for the treatment of chronic hepatitis C virus (HCV) infection have been approved, there is a continued need for novel antiviral agents that act on new targets and can be used in combination with current therapies to enhance efficacy and to restrict the emergence of drug-resistant viral variants. To this end, we have identified a novel class of small molecules, exemplified by PTC725, that target the nonstructural protein 4B (NS4B). PTC725 inhibited HCV 1b (Con1) replicons with a 50% effective concentration (EC50) of 1.7 nM and an EC90 of 9.6 nM and demonstrated a >1,000-fold selectivity window with respect to cytotoxicity. The compounds were fully active against HCV replicon mutants that are resistant to inhibitors of NS3 protease and NS5B polymerase. Replicons selected for resistance to PTC725 harbored amino acid substitutions F98L/C and V105M in NS4B. Anti-replicon activity of PTC725 was additive to synergistic in combination with alpha interferon or with inhibitors of HCV protease and polymerase. Immunofluorescence microscopy demonstrated that neither the HCV inhibitors nor the F98C substitution altered the subcellular localization of NS4B or NS5A in replicon cells. Oral dosing of PTC725 showed a favorable pharmacokinetic profile with high liver and plasma exposure in mice and rats. Modeling of dosing regimens in humans indicates that a once-per-day or twice-per-day oral dosing regimen is feasible. Overall, the preclinical data support the development of PTC725 for use in the treatment of chronic HCV infection.

A novel HCV NS3 protease mutation selected by combination treatment of the protease inhibitor boceprevir and NS5B polymerase inhibitors.

Boceprevir (SCH 503034) is an orally active novel inhibitor of the hepatitis C virus (HCV) NS3 protease currently in clinical development for the treatment of hepatitis C. In this in vitro study, we demonstrate that combination of boceprevir with a nucleoside analog or a non-nucleoside HCV NS5B polymerase inhibitor was superior to treatment by single agents in inhibiting viral RNA replication in replicon cells. In the presence of boceprevir (at 5xEC(90)), the addition of 2'-C-methyl-adenosine or an indole-N-acetamide targeting the polymerase finger-loop site (at 1xEC(90)) significantly reduced the emergence of resistant replicon colonies. A higher dose (5xEC(90)) of either of the polymerase inhibitors in combination with boceprevir suppressed replicon resistance further to below detectable levels. Sequencing analysis of replicon cells selected by the combination treatment revealed known resistance mutations to the two polymerase inhibitors but no previously reported resistance mutations to boceprevir. Interestingly, a novel mutation (M175L) in the protease domain was identified. The dually resistant replicon cells were monitored for over 30 passages and sensitivity to polymerase inhibitors was found to decrease over time in a manner that correlated with the increasing prevalence of specific resistance mutations. Importantly, these cells remained sensitive to interferon-alpha and different classes of polymerase inhibitors. These findings support the rationale for clinical evaluation of combination treatment of HCV protease and polymerase inhibitors.

Identification of HCV protease inhibitor resistance mutations by selection pressure-based method.

A major challenge to successful antiviral therapy is the emergence of drug-resistant viruses. Recent studies have developed several automated analyses of HIV sequence polymorphism based on calculations of selection pressure (K(a)/K(s)) to predict drug resistance mutations. Similar resistance analysis programs for HCV inhibitors are not currently available. Taking advantage of the recently available sequence data of patient HCV samples from a Phase II clinical study of protease inhibitor boceprevir, we calculated the selection pressure for all codons in the HCV protease region (amino acid 1-181) to identify potential resistance mutations. The correlation between mutations was also calculated to evaluate linkage between any two mutations. Using this approach, we identified previously known major resistant mutations, including a recently reported mutation V55A. In addition, a novel mutation V158I was identified, and we further confirmed its resistance to boceprevir in protease enzyme and replicon assay. We also extended the approach to analyze potential interactions between individual mutations and identified three pairs of correlated changes. Our data suggests that selection pressure-based analysis and correlation mapping could provide useful tools to analyze large amount of sequencing data from clinical samples and to identify new drug resistance mutations as well as their linkage and correlations.