Abstract
Because of the extreme genetic variability of hepatitis C virus (HCV), we analyzed the NS5B polymerase genetic variability in circulating HCV genotypes/subtypes and its impact on the genetic barrier for the development of resistance to clinically relevant nucleoside inhibitors (NIs)/nonnucleoside inhibitors (NNIs). The study included 1,145 NS5B polymerase sequences retrieved from the Los Alamos HCV database and GenBank. The genetic barrier was calculated for drug resistance emergence. Prevalence and genetic barrier were calculated for 1 major NI and 32 NNI resistance variants (13 major and 19 minor) at 21 total NS5B positions. Docking calculations were used to analyze sofosbuvir affinity toward the diverse HCV genotypes. Overall, NS5B polymerase was moderately conserved among all HCV genotypes, with 313/591 amino acid residues (53.0%) showing ≤1% variability and 83/591 residues (14.0%) showing high variability (≥25.1%). Nine NNI resistance variants (2 major variants, 414L and 423I; 7 minor variants, 316N, 421V, 445F, 482L, 494A, 499A, and 556G) were found as natural polymorphisms in selected genotypes. In particular, 414L and 423I were found in HCV genotype 4 (HCV-4) (n = 14/38, 36.8%) and in all HCV-5 sequences (n = 17, 100%), respectively. Regardless of HCV genotype, the 282T major NI resistance variant and 10 major NNI resistance variants (316Y, 414L, 423I/T/V, 448H, 486V, 495L, 554D, and 559G) always required a single nucleotide substitution to be generated. Conversely, the other 3 major NNI resistance variants (414T, 419S, and 422K) were associated with a different genetic barrier score development among the six HCV genotypes. Sofosbuvir docking analysis highlighted a better ligand affinity toward HCV-2 than toward HCV-3, in agreement with the experimental observations. The genetic variability among HCV genotypes, particularly with the presence of polymorphisms at NNI resistance positions, could affect their responsiveness to NS5B inhibitors. A pretherapy HCV NS5B sequencing could help to provide patients with the full efficacy of NNI-containing regimens.
INTRODUCTION
The advent of direct antiviral agents (DAAs) has opened a new era for the treatment of hepatitis C virus (HCV) infection. Since 2011, telaprevir and boceprevir, two linear protease inhibitors, have been approved by both the U.S. Food and Drug Administration (FDA) and the European Medicines Agency (EMA) as a new standard of care for first-line treatment of HCV genotype 1 (HCV-1), in association with pegylated alpha interferon (PEG-IFN) and ribavirin. Both of these combination treatments have shown improved sustained virological response (SVR) rates along with reduced treatment duration (1–4). Despite the increase in SVR and their high potency, these two first approved protease inhibitors are still “fragile” drugs because of their low genetic barrier, extensive cross-resistance profile, and significant side effects. Therefore, additional DAAs that target different HCV proteins as well are currently in development (5–8) (http://www.pipelinereport.org; http://www.natap.org; http://hcvadvocate.blogspot.ca). Among these new drugs, several are designed to target the HCV enzyme NS5B, which is the viral RNA-dependent RNA polymerase (RpRd), a key component of the HCV life cycle (9, 10). The success of polymerase inhibitors has been demonstrated extensively in phase I and II trials, and they are expected to play an important role in newer DAA combination therapy regimens (11). Currently, two classes of NS5B inhibitors, nucleos(t)ide inhibitors (NIs) and nonnucleoside inhibitors (NNIs), are at different stages of clinical development (5, 12). For instance, the NI sofosbuvir (GS-7977) has been recently approved by the FDA for the treatment of chronic HCV infection as a component of a combination antiviral treatment regimen (http://www.fda.gov/forconsumers/byaudience/forpatientadvocates/ucm377920.htm). Moreover, the NI mericitabine (R7128) and two NNIs, ABT-333 (NNI class 3 [NNI-3]) and deleobuvir (BI207127, an NNI-1), are already in phase III studies. One NI (VX-135) and several other NNIs are in phase II trials, such as two NNI-1s (TMC647055 and BMS-791325), two NNI-2s (lomibuvir [VX-222] and GS-9669), two NNI-3s (setrobuvir and ABT-072), and one NNI-4 (IDX375). Meanwhile, two NNIs, filibuvir and tegobuvir, previously in phase II trials, have been very recently discontinued (5, 8, 13). In particular, tegobuvir has been discontinued owing to limited efficacy, while discontinuation of filibuvir followed a Pfizer strategic review (5; http://www.hepatitiscentral.com/mt/archives/2013/03/new-strategy-shifts-pfizer-away-from-new-hep-c-drug.html).
NIs mime the natural substrates of the RNA-dependent RNA polymerase and are incorporated within the elongation of RNA, where they act as chain terminators. NIs generally show a high-intermediate potency, a pan-genotypic activity, and a medium-high barrier to resistance (5, 14). In contrast, NNIs are a heterogeneous group of antiviral compounds with intermediate potency, which bind to one of the 4 allosteric sites at the surface of the enzyme, inhibiting the formation of the elongation complex. NNIs show a low genetic barrier to resistance and a genotype-dependent activity (5, 14–16). Furthermore, since NNIs bind distantly to the active site, resistant variants may occur easily, with high fitness, and more frequently than under NI treatments both in vitro and in vivo (12).
The poor fidelity of the HCV NS5B enzyme, as a result of its error-prone and absent proofreading activity, together with the high replication rate and strong selective pressure on the virus, leads to an extreme variability of HCV. Seven HCV genotypes (1 to 7, with 31 to 33% nucleotide difference) and more than 100 subtypes (a, b, and so on, with 20 to 25% nucleotide difference) have been so far characterized with distinct geographic distributions (17, 18). This high genetic variability represents an important obstacle in developing pan-genotypic antivirals and also is the cause of a potential baseline presence of drug-resistant variants as major or minor populations in HCV-infected persons. Because of the intrinsic fitness cost of escape mutants, patients with DAA-resistant predominant viral quasispecies have been rarely observed (19–24). Recently, some studies analyzed in detail the prevalence of NI/NNI resistance variants among DAA-naive patients but, however, only in selected genotypes (22–25). Furthermore, one study, starting from 236 HCV sequences among six genotypes, analyzed also the degree of conservation of the entire NS5B polymerase (26). However, a broad characterization of HCV genetic variability at NS5B positions critical for drug resistance to the current important NIs/NNIs is still missing, especially in a large number of genotype 1 and non-genotype 1 HCV genotypes and subtypes commonly spread worldwide. As we have shown previously for protease inhibitors (PIs) (27), it is conceivable that the genetic variability among HCV genotypes would have a great importance in HCV sensitivity also to polymerase inhibitors, determining drug efficacy and even a different tendency to develop NI/NNI resistance. Therefore, considering all these aspects, the aim of this study was to analyze the NS5B polymerase variability among a large number of HCV sequences from all genotypes. We evaluated also the impact of the genetic variability on the genetic barrier (defined as the number and type of nucleotide mutations required to overcome the drug pressure) for the development of substitutions causing drug resistance to NIs/NNIs currently clinically relevant (such as all those under investigation in clinical phase II and III trials).
MATERIALS AND METHODS
Study population.
This study includes 1,145 NS5B polymerase sequences (amino acids [aa] 1 to 591), derived from NI/NNI-naive patients infected with HCV genotypes 1a (n = 506), 1b (n = 379), 2 (n = 113), 3 (n = 14), 4 (n = 38), 5 (n = 17), and 6 (n = 77) and the new genotype 7, recently found in a few patients from Central Africa (n = 1), retrieved from the Los Alamos HCV sequence database and GenBank. To ensure the quality of the data, public sequences were excluded from the analysis if they (i) contained stop codons in the NS5B gene or (ii) contained ambiguities consisting of >2 bases per nucleotide position or >2 ambiguities per codon at individual drug resistance-associated positions.
HCV genotype was confirmed by phylogenetic analysis of the polymerase coding region, aligning all retrieved sequences versus 11 reference strains for the 7 different genotypes (GenBank accession numbers: HCV-1a, NC_004102; HCV-1b, AJ238799; HCV-2a, NC_009823; HCV-2b, D10988; HCV-2c, D50409; HCV-3a, NC_009824; HCV-3b, D49374; HCV-4, NC_009825; HCV-5, NC_009826; HCV-6, NC_009827; HCV-7, EF108306). The NS5B phylogenetic tree was estimated using the MEGA 5.0 package (28) by a neighbor joining approach, using the Kimura 2-parameter model, with a proportion of invariable sites and application of a gamma distribution.
Conservation analysis.
HCV variability at the level of NS5B polymerase protein was assessed by calculating the prevalence of the most common wild-type amino acid at each position of the NS5B gene. For this analysis, the complete alignment of 1,145 sequences from the 7 HCV genotypes was used. The amino acid conservation was defined as the percentage of sites with ≤1% amino acid variability. The information obtained was then used on the tridimensional polymerase protein structure, in order to visualize the localization of conserved and variable residues among HCV genotypes. Structural analysis of the NS5B protein was performed by PyMOL Molecular Graphics System 2002 according to the HCV-1b 2QE5 structure (29).
To analyze the prevalence of resistance variants among all the HCV sequences, a total of 21 positions related to 33 substitutions causing drug resistance to 14 NS5B polymerase inhibitors were analyzed (see Fig. 1). According to the level of resistance, NI/NNI resistance-associated variants have been divided into major (high-intermediate level of resistance) and minor (low level of resistance) variants (7, 30–46). Only variants with prevalences of >1% and found in ≥2 patients were considered. The HCV-1b reference sequence (GenBank accession number AJ238799) was used for the definition of amino acid substitutions.
FIG 1.
Amino acid substitutions in HCV NS5B polymerase associated with resistance to NIs and NNIs. In the list are shown variants associated with resistance to investigational NIs and NNIs in phase II and III trials (30–46). The number in the bar represents the amino acid position. The letter above the number refers to the wild-type amino acid (HCV-1b reference sequence, GenBank accession number AJ238799), and the letter(s) below the bars represents the resistance substitutions. Bold type represents the key major substitutions associated with the resistance phenotype (30–46). For the drug with an asterisk, reported substitutions are associated with resistance only in vitro.
Genetic barrier calculation.
The genetic barrier for the evolution of each drug resistance substitution was calculated according to a model previously described for HIV, HBV, or HCV (47, 48). In summary, transitions (A↔G and C↔T) were assigned a score of 1 and transversions (A↔C, A↔T, G↔C, and G↔T) were assigned a score of 2.5, since transitions have been generally shown to occur for steric reasons on average 2.5 times more frequently than transversions (27, 47, 48). An algorithm was built using JavaScript to calculate the genetic barrier at each individual NS5B position associated with resistance. A total of 33 drug resistance substitutions were analyzed (the 1 major NI resistance variant, 282T; 13 major NNI resistance variants, 316Y, 414T/L, 419S, 422K, 423I/T/V, 448H, 486V, 495L, 554D, and 559G; and 19 minor NNI resistance variants, 316N, 368T, 421V, 426A/T, 445F, 448C, 452H, 482L/S, 494A, 495S/A/T/Q, 496S, 499A, 554S, and 556G) (Fig. 1).
The methodology used to estimate the genetic barrier for drug resistance development has been described elsewhere (27, 47). Briefly, due to the degeneration of genetic code, each NS5B amino acid associated with drug resistance can be encoded by more than one nucleotide codon. Therefore, starting from the wild-type codon detected in drug-naive patients, we calculated a numerical score by summing the number of nucleotide transitions and/or transversions required to generate a specific resistance substitution. As a result, we obtained different scores for each pathway of nucleotide mutations required to generate a specific resistance substitution. The minimal genetic barrier score for each drug resistance substitution analyzed was considered.
Docking calculations.
To obtain three-dimensional models for each NS5B genotype, we checked the existence of available experimental structures in the Protein Data Bank (PDB) (49). Since NS5B structures from different HCV genotypes were not available, the Prime program (Prime, version 3.3; Schrödinger, LLC, New York, NY, 2013) has been used to structurally predict 1a, 1b, 2a, 2b, 2c, 2k, 3a, 3b, 3i, and 3k genotype models, using as a template HCV-1a in the 3QGH (50) X-ray structure, with a final sequence identity greater than 90% in all models predicted. The following sequences with the indicated GenBank accession numbers have been used in the analysis: HCV-1a, NC_004102; HCV-1b, AJ238799; HCV-2a, NC_009823; HCV-2b, D10988; HCV-2c, D50409; HCV-2i, DQ155561; HCV-2k, AB031663; HCV-3a, NC_009824; HCV-3b D49374; HCV-3i, FJ407092; HCV-3k D63821. After the alignment procedure, carried out by means of ClustalW (51), we built our models using a knowledge-based method. Finally, an energy minimization procedure to fully relax each model has been performed, using MacroModel v.10.0 (Schrödinger, LLC, New York, NY, 2013) under the following conditions: OPLS_2005 (52) as force field, a Polake-Ribiere conjugated gradient (PRCG) algorithm, 20,000 iterations of minimization, and the GB/SA (53) water implicit model to take into account the solvation effect. The obtained models were adopted for quantum mechanics polarized ligand docking (QPLD) (54) molecular docking studies. For each NS5B structure, a grid box of 27,000 Å3 was centered on the ligand (N-cyclopropyl-6-[(3R)-3-{[4-(trifluoromethoxy)benzyl]carbamoyl}-4-{[4-(trifluoromethoxy)phenyl]sulfonyl}piperazin-1-yl]pyridazine-3-carboxamide) cocrystallized in the 3QGH X-ray model. With adoption of such a grid box, the molecular recognition of sofosbuvir against all the genotype models was carried out using the default parameters with no constraints. The initial docking stage was performed with Glide (Glide, version 5.9; Schrödinger, LLC, New York, NY, 2013) SP precision, generating 10 maximum poses per ligand. In order to test the accuracy and reliability of our docking approach, as reported in some different drug-target complexes (55–60), we performed redocking simulations of the N-cyclopropyl-6-[(3R)-3-{[4-(trifluoromethoxy)benzyl]carbamoyl}-4-{[4-(trifluoromethoxy)phenyl]sulfonyl}piperazin-1-yl]pyridazine-3-carboxamide cocrystallized in the 3QGH NS5B complex under the same conditions mentioned above, obtaining a root mean square deviation value, calculated on all atoms, equal to 1.26 Å (data not shown).
All the sofosbuvir complexes generated were submitted to the induced-fit energy minimization, with a thermodynamic evaluation of the free energy of complexation under the same conditions of the target optimization procedure. Analysis of the results was carried out taking into account the thermodynamic estimation of the state equations (free energy, enthalpy, and entropy of complex formation) computed at 300 K, according to the MolInE (61) method.
RESULTS
NS5B genetic variability and natural resistance across HCV genotypes.
Overall, the NS5B protein was moderately conserved among all HCV genotypes, with 313/591 (53.0%) conserved amino acid residues. Few NS5B residues (83/591, 14.0%) were highly variable among HCV genotypes, showing ≥25.1% amino acid variability, and were mostly located on the surface of the NS5B protein (Fig. 2 and 3). According to the conventional partition of the NS5B domains (9), the inner palm domain (aa 188 to 227 and aa 287 to 370) was the most conserved region (60.5% domain conservation). The other two domains, fingers (aa 1 to 187 and aa 228 to 286) and thumb (aa 371 to 563), showed more variability than did the palm domain (50.0% and 53.4% conservation, respectively). In particular, the β-loop (residues 443 to 454), within the thumb domain, was highly variable among the different genotypes (41.7% conservation).
FIG 2.
Amino acid sequence alignment of HCV NS5B polymerase across genotypes 1 to 7. The sequence of HCV-1b NS5B polymerase (GenBank accession number AJ238799) is shown as a reference and is colored according to the frequency rate of substitutions observed in analyzing 1,145 HCV sequences of the 7 genotypes. Each HCV genotype reference sequence included in the analysis is also reported (GenBank accession numbers are as follows: HCV-1a, NC_004102; HCV-2a, NC_009823; HCV-3a, NC_009824; HCV-4, NC_009825; HCV-5, NC_009826; HCV-6, NC_009827; HCV-7, EF108306). Amino acids (aa) identical among all HCV genotypes are indicated with dots.
FIG 3.

Conservation of HCV NS5B polymerase sequences across genotypes 1 to 7. The figure reports the molecular surface structure of HCV-1b NS5B polymerase (Protein Data Bank [PDB] accession number 2QE5), colored according to the frequency rate of substitutions observed in all 1,145 HCV sequences. The residues representing the catalytic triad, the GDD motif, and those associated with NIs and NNIs resistance are reported. The residues with asterisks cannot be visualized on the molecular polymerase structure orientation.
In analysis of the reference sequence alignment at the level of the five important motifs (named A to E) within the palm region (62, 63), the A motif (residues 213 to 228), which includes the catalytic pocket of the enzyme (D220 to D225) with two essential residues for metal binding (D220 and T221), was highly conserved among all the seven genotypes. The B motif (residues 282 to 302), taking part in the sugar selection, was also highly conserved within HCV genotype 1, with some variability found at a few positions (285-286, 289, 293, 296-297, and 300) in other, non-HCV-1 genotypes. As expected, the GDD functional motif (G317-D318-D319) within the C motif was conserved among all seven different genotypes. Also, the D motif (residues 326 to 347), forming the core structure of the palm, and the E motif (residues 360 to 370), responsible for the interaction of palm with thumb, were highly conserved at the amino acid level within the HCV-1 genotype, and to a lesser extent within the other genotypes.
In analysis of all the 21 NI/NNI resistance-associated positions, 9 (42.8%) were conserved at the amino acid level (S282, S368, R422, Y448, Y452, P495, P496, G554, and D559) among the genotypes, while the other 12 (57.2%) were highly variable (C316, M414, L419, A421, M423, M426, C445, I482, A486, V494, V499, and S556) (Fig. 2 and 3).
Moreover, 9 NNI resistance variants (2 major, 414L and 423I; 7 minor, 316N, 421V, 445F, 482L, 494A, 499A, and 556G) were found as natural polymorphisms in selected genotypes (Fig. 4A). In particular, the primary setrobuvir resistance substitution 414L was frequently found in HCV-4 (n = 14/38, 36.8% prevalence). Similarly, 423I, reported to confer high resistance to the NNI-2 filibuvir, was found in all HCV-5 sequences (n = 17, 100%), and rarely also in HCV-1a (n = 9/506, 1.8%).
FIG 4.
Prevalence and calculated genetic barrier scores of NS5B resistance-associated variants. The histogram in panel A represents the prevalence of polymorphic resistance variants found in specific HCV genotypes. The relative class of compounds is also indicated for each substitution. The histograms in panels B and C represent the calculated genetic barrier for the development of NI/NNI resistance variants. In panel B, substitutions reported are those for which the genetic barrier was not affected by intergenotype variability and are characterized by low genetic barrier scores (one transition or one transversion). In panel C, the histogram represents the calculated genetic barrier score for major NNI resistance variants at positions 414, 419, and 422. The score was calculated by summing the number of transitions (score = 1) and transversions (score = 2.5) required for the generation of any degenerated codon associated with drug resistance, starting from the predominant wild-type codon found in each HCV genotype.
Furthermore, other resistance variants, conferring a moderate-low level of resistance to different compounds of NNI-1 (421V and 499A), NNI-2 (482L and 494A), NNI-3 (556G), and NNI-4 (316N and 445F) classes (12), were found with high prevalence in several genotypes: 421V in 100% of HCV-3 and -6; >80% of HCV-2, -4, and -5; 12.0% of HCV-1a; and 4.0% of HCV-1b genotypes; 499A in 100% of HCV-5; >91% of HCV-1a, -2, -3, -4, and -6; and 10.0% of HCV-1b genotypes; 482L in 99 to 100% of HCV-2, -3, -4, and -6 genotypes; 494A in 100% of HCV-2, 5.2% of HCV-4, and 75.3% of HCV-6 genotypes; 556G in 8.2% of HCV-1b; 100% of HCV-2, -3, and -5; 97.4% of HCV-4; and 2.6% of HCV-6 genotypes; 316N in 35.6% of HCV-1b and 7.9% of HCV-4 genotypes; 445F in 100% of HCV-2, -3, -4, -5, and -6 genotypes (Fig. 4A). Interestingly, the minor NNI resistance substitutions 445F and 556G were found in the unique HCV-7 reference sequence available; similarly, the major NI resistance substitution 282T was found in the reference sequence of the HCV-4 genotype (Fig. 2).
Genetic barrier for NI and NNI resistance.
The genetic barrier for the development of NI/NNI resistance was analyzed on the data set of 1,144 NS5B polymerase sequences from the 6 genotypes (HCV-1a, -1b, -2, -3, -4, -5, and -6). Only variants with prevalences of >1% and found in ≥2 patients were considered (for this reason, the unique available sequence of HCV-7 was excluded in this analysis). Starting from each wild-type codon, each transition was assigned a score of 1 and each transversion was assigned a score of 2.5.
Regardless of HCV genotypes, the NI resistance variant 282T and 19/32 NNI resistance variants required only one substitution to be generated and were thus associated with low genetic barrier scores (Fig. 4B). In particular, the NI resistance substitution 282T requires only one transversion (score = 2.5) to be generated (Table 1). Among NNIs, 8 major resistance variants required only 1 nucleotide transition (423I/T/V, 448H, 486V, 495L, 554D, and D559G; score = 1) while 2 other major resistance variants required only one nucleotide transversion (316Y and 414L; score = 2.5) (Table 1 and Fig. 4B).
TABLE 1.
Codon variability at HCV NS5B positions associated with major drug resistance to NIs and NNIs and its impact on the genetic barrier to drug resistance development in HCV genotypes 1 to 6
| Major position(s) associated with resistance to type of inhibitor | WT amino acida | WT codon | Proportion of WT and polymorphic codons in HCV genotype, n (%)b |
Resistance variant |
|||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Group 1 |
Group 2 |
||||||||||||||
| 1a (n = 506) | 1b (n = 379) | 2 (n = 113) | 3 (n = 14) | 4 (n = 38) | 5 (n = 17) | 6 (n = 77) | Variant | Codonc | Minimal scored | Variant | Codonc | Minimal scored | |||
| Nucleos(t)ide inhibitors | |||||||||||||||
| 282 | S | AGC | 500 (98.8) | 361 (95.2) | 111 (98.2) | 4 (28.6) | 36 (94.7) | 17 (100) | 25 (32.5) | S282T | ACC | 2.5 | |||
| 282 | AGT | 4 (0.8) | 18 (4.8) | 2 (1.8) | 10 (71.4) | 1 (2.6) | 0 (0.0) | 51 (66.2) | S282T | ACT | 2.5 | ||||
| Nonnucleoside inhibitors | |||||||||||||||
| Class 1 | |||||||||||||||
| 486 | A | GCC | 469 (92.7) | 5 (1.3) | 0 (0.0) | 0 (0.0) | 12 (31.6) | 1 (5.8) | 0 (0.0) | A486V | GTC | 1 | |||
| 486 | GCT | 33 (6.5) | 347 (91.5) | 26 (23.0) | 0 (0.0) | 7 (18.4) | 15 (88.2) | 5 (6.5) | A486V | GTT | 1 | ||||
| 486 | GCA | 4 (0.8) | 9 (2.4) | 86 (76.1) | 0 (0.0) | 14 (36.8) | 0 (0.0) | 31 (40.2) | A486V | GTA | 1 | ||||
| 486 | GCG | 0 (0.0) | 18 (4.7) | 1 (0.88) | 13 (100) | 5 (13.1) | 0 (0.0) | 2 (2.6) | A486V | GTG | 1 | ||||
| 486 | G | GGA | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 20 (25.9) | G486V | GTA | 2.5 | |||
| 486 | GGG | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 19 (24.6) | G486V | GTG | 2.5 | ||||
| 495 | P | CCA | 29 (5.7) | 252 (66.5) | 27 (23.9) | 0 (0.0) | 4 (10.5) | 0 (0.0) | 23 (29.9) | P495L | CTA | 1 | |||
| 495 | CCG | 477 (94.3) | 125 (33) | 2 (1.8) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | P495L | CTG | 1 | ||||
| 495 | CCT | 0 (0.0) | 2 (0.5) | 83 (73.4) | 3 (21.4) | 0 (0.0) | 0 (0.0) | 28 (36.3) | P495L | CTT | 1 | ||||
| 495 | CCC | 0 (0.0) | 0 (0.0) | 1 (0.9) | 11 (78.6) | 34 (89.5) | 17 (100) | 25 (32.5) | P495L | CTC | 1 | ||||
| Class 2 | |||||||||||||||
| 419 | L | CTG | 290 (57.3) | 10 (2.6) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 13 (76.5) | 0 (0.0) | L419S | TCG | 2 | |||
| 419 | CTA | 10 (2) | 40 (10.5) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 3 (17.6) | 0 (0.0) | L419S | TCA | 2 | ||||
| 419 | TTA | 3 (0.6) | 199 (52.5) | 1 (0.9) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | L419S | TCA | 1 | ||||
| 419 | TTG | 202 (39.9) | 124 (32.7) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (5.9) | 0 (0.0) | L419S | TCG | 1 | ||||
| 419 | I | ATA | 0 (0.0) | 5 (1.3) | 26 (23) | 0 (0.0) | 27 (71.1) | 0 (0.0) | 44 (57.1) | I419S | TCA | 3.5 | |||
| 419 | ATC | 0 (0.0) | 0 (0.0) | 80 (70.8) | 11 (78.6) | 4 (10.5) | 0 (0.0) | 13 (16.9) | I419S | AGC | 2.5 | ||||
| 419 | ATT | 0 (0.0) | 0 (0.0) | 3 (2.6) | 3 (21.4) | 7 (18.4) | 0 (0.0) | 20 (26) | I419S | AGT | 2.5 | ||||
| 422 | R | AGG | 400 (79.0) | 374 (98.7) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | R422K | AAG | 1 | |||
| 422 | AGA | 106 (20.9) | 2 (0.5) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | R422K | AAA | 1 | ||||
| 422 | CGA | 1 (0.2) | 0 (0.0) | 6 (5.3) | 0 (0.0) | 1 (2.6) | 0 (0.0) | 1 (1.3) | R422K | AAA | 3.5 | ||||
| 422 | CGG | 1 (0.2) | 2 (0.5) | 79 (69.9) | 0 (0.0) | 2 (5.3) | 17 (100) | 3 (3.4) | R422K | AAG | 3.5 | ||||
| 422 | CGC | 0 (0.0) | 0 (0.0) | 25 (22.1) | 12 (85.7) | 29 (76.3) | 0 (0.0) | 32 (41.5) | R422K | AAA/G | 6 | ||||
| 422 | CGT | 0 (0.0) | 0 (0.0) | 3 (2.6) | 2 (14.3) | 6 (15.8) | 0 (0.0) | 41 (53.2) | R422K | AAA/G | 6 | ||||
| 423 | M | ATG | 493 (97.4) | 379 (100) | 113 (100) | 14 (100) | 38 (100) | 0 (0.0) | 77 (100) | M423I | ATA | 1 | M423T | ACG | 1 |
| 423 | I | ATA | 6 (1.2) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 17 (100) | 0 (0.0) | I423T | ACA | 1 | |||
| 423 | ATC | 3 (0.6) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | I423T | ACC | 1 | ||||
| 423 | V | GTG | 3 (0.6) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | V423I | ATA | 2 | V423T | ACG | 2 |
| 423 | M | ATG | 493 (97.4) | 379 (100) | 113 (100) | 14 (100) | 38 (100) | 0 (0.0) | 77 (100) | M423V | GTG | 1 | |||
| 423 | I | ATA | 6 (1.2) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 17 (100) | 0 (0.0) | I423V | GTA | 1 | |||
| 423 | ATC | 3 (0.6) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | I423V | GTC | 1 | ||||
| 423 | V | GTG | 3 (0.6) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | ||||||
| Classes 3 and 4 | |||||||||||||||
| 316 | C | TGC | 33 (6.5) | 231 (60.9) | 29 (25.7) | 13 (92.9) | 28 (73.7) | 2 (11.7) | 76 (98.7) | C316Y | TAC | 2.5 | |||
| 316 | TGT | 473 (93.5) | 9 (2.4) | 84 (74.3) | 1 (7.1) | 7 (18.4) | 15 (88.2) | 1 (1.3) | C316Y | TAT | 2.5 | ||||
| 316 | N | AAC | 0 (0.0) | 130 (34.3) | 0 (0.0) | 0 (0.0) | 3 (7.9) | 0 (0.0) | 0 (0.0) | N316Y | TAC | 2.5 | |||
| 316 | AAT | 0 (0.0) | 5 (1.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | N316Y | TAT | 2.5 | ||||
| 414 | M | ATG | 505 (99.8) | 378 (99.7) | 0 (0.0) | 14 (100) | 0 (0.0) | 17 (100) | 75 (97.4) | M414L | C/TTG | 2.5 | M414T | ACG | 1 |
| 414 | I | ATC | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 6 (15.8) | 0 (0.0) | 0 (0.0) | I414L | CTC | 2.5 | I414T | ACC | 1 |
| 414 | A | GCG | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (1.3) | A414L | C/TTG | 3.5 | A414T | ACG | 1 |
| 414 | T | ACG | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (1.3) | T414L | C/TTG | 3.5 | |||
| 414 | V | GTC | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 16 (42.1) | 0 (0.0) | 0 (0.0) | V414L | CTC | 2.5 | V414T | ACC | 2 |
| 414 | GTT | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (2.6) | 0 (0.0) | 0 (0.0) | V414L | CTT | 2.5 | V414T | ACT | 2 | |
| 414 | Q | CAA | 0 (0.0) | 0 (0.0) | 67 (59.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Q414L | CTA | 2.5 | Q414T | ACA | 5 |
| 414 | CAG | 0 (0.0) | 0 (0.0) | 45 (39.8) | 0 (0.0) | 1 (2.6) | 0 (0.0) | 0 (0.0) | Q414L | CTG | 2.5 | Q414T | ACG | 5 | |
| 414 | L | CTA | 0 (0.0) | 0 (0.0) | 1 (0.9) | 0 (0.0) | 1 (2.6) | 0 (0.0) | 0 (0.0) | L414T | ACA | 3.5 | |||
| 414 | CTC | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 6 (15.8) | 0 (0.0) | 0 (0.0) | L414T | ACC | 3.5 | ||||
| 414 | CTG | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 2 (5.3) | 0 (0.0) | 0 (0.0) | L414T | ACG | 3.5 | ||||
| 414 | CTT | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 5 (13.2) | 0 (0.0) | 0 (0.0) | L414T | ACT | 3.5 | ||||
| 448 | Y | TAC | 498 (98.4) | 351 (92.6) | 80 (70.8) | 14 (100) | 38 (100) | 1 (5.8) | 70 (90.9) | Y448H | CAC | 1 | |||
| 448 | TAT | 8 (1.6) | 28 (7.4) | 33 (29.2) | 0 (0.0) | 0 (0.0) | 16 (94.1) | 7 (9.1) | Y448H | CAT | 1 | ||||
| 554 | G | GGT | 54 (10.7) | 317 (83.6) | 5 (4.4) | 9 (64.3) | 1 (2.6) | 2 (11.7) | 5 (6.5) | G554D | GAT | 1 | |||
| 554 | GGA | 1 (0.2) | 5 (1.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | G554D | GAC/T | 3.5 | ||||
| 554 | GGC | 450 (88.9) | 51 (13.5) | 107 (94.7) | 5 (35.7) | 37 (97.4) | 14 (82.3) | 72 (93.5) | G554D | GAC | 1 | ||||
| 554 | GGG | 1 (0.2) | 5 (1.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | G554D | GAC/T | 3.5 | ||||
| 559 | D | GAC | 505 (99.8) | 378 (99.7) | 108 (95.6) | 14 (100) | 35 (92.1) | 17 (100) | 77 (100) | D559G | GGC | 1 | |||
| 559 | GAT | 1 (0.2) | 0 (0.0) | 4 (3.5) | 0 (0.0) | 3 (7.9) | 0 (0.0) | 0 (0.0) | D559G | GGT | 1 | ||||
The wild-type (WT) amino acid of HCV genotype 1b at each position associated with drug resistance is shown.
Data for the predominant wild-type codon for each genotype are shown in bold.
Codon for drug resistance variants requiring the lowest number of transitions/transversions starting from the wild-type or polymorphic codon detected in drug-naive patients.
Minimal numerical score obtained by summing the number of nucleotide transitions and/or transversions (scored as 1 and 2.5, respectively; see Materials and Methods) required to generate the specific drug resistance variant.
Furthermore, 9 minor NNI resistance variants also required only one substitution to be generated (426T, 448C, 452H, 495S, and 496S, score = 1; 368T, 482S, and 495A/T, score = 2.5) (Table 2 and Fig. 4B).
TABLE 2.
Codon variability at HCV NS5B positions associated with minor drug resistance to NIs and NNIs and its impact on the genetic barrier to drug resistance development in HCV genotypes 1 to 6
| Minor position(s) associated with resistance to type of nonnucleoside inhibitor | WT amino acida | WT codon | Proportion of WT and polymorphic codons in HCV genotype, n (%)b |
Resistance variant |
|||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Group 1 |
Group 2 |
||||||||||||||
| 1a (n = 506) | 1b (n = 379) | 2 (n = 113) | 3 (n = 14) | 4 (n = 38) | 5 (n = 17) | 6 (n = 77) | Variant | Codonc | Minimal scored | Variant | Codonc | Minimal scored | |||
| Class 1 | |||||||||||||||
| 421 | A | GCG | 431 (85.2) | 38 (10.0) | 1 (0.9) | 0 (0.0) | 2 (5.3) | 0 (0.0) | 0 (0.0) | A421V | GTG | 1 | |||
| 421 | GCA | 11 (2.2) | 325 (85.7) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | A421V | GTA | 1 | ||||
| 421 | GCT | 0 (0.0) | 1 (0.3) | 8 (7.1) | 0 (0.0) | 1 (2.6) | 2 (11.7) | 0 (0.0) | A421V | GTT | 1 | ||||
| 421 | GCC | 0 (0.0) | 0 (0.0) | 3 (2.6) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 54 (70.1) | A421V | GTC | 1 | ||||
| 421 | V | GTG | 60 (11.8) | 2 (0.53) | 3 (2.6) | 14 (100) | 31 (81.6) | 0 (0.0) | 14 (18.2) | ||||||
| 421 | GTA | 1 (0.2) | 12 (3.2) | 0 (0.0) | 0 (0.0) | 2 (5.2) | 1 (5.9) | 9 (11.7) | |||||||
| 421 | GTC | 0 (0.0) | 0 (0.0) | 77 (68.1) | 0 (0.0) | 0 (0.0) | 1 (5.9) | 0 (0.0) | |||||||
| 421 | GTT | 0 (0.0) | 0 (0.0) | 21 (18.6) | 0 (0.0) | 2 (5.2) | 13 (76.5) | 0 (0.0) | |||||||
| 421 | T | ACG | 2 (0.4) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | T421V | GTG | 2 | |||
| 495 | P | CCA | 29 (5.7) | 252 (66.5) | 27 (23.9) | 0 (0.0) | 4 (10.5) | 0 (0.0) | 23 (29.9) | P495A | GCA | 2.5 | P495S | TCA | 1 |
| 495 | CCG | 477 (94.3) | 125 (33) | 2 (1.8) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | P495A | GCG | 2.5 | P495S | TCG | 1 | |
| 495 | CCT | 0 (0.0) | 2 (0.5) | 83 (73.4) | 3 (21.4) | 0 (0.0) | 0 (0.0) | 28 (36.3) | P495A | GCT | 2.5 | P495S | TCT | 1 | |
| 495 | CCC | 0 (0.0) | 0 (0.0) | 1 (0.9) | 11 (78.6) | 34 (89.5) | 17 (100) | 25 (32.5) | P495A | GCC | 2.5 | P495S | TCC | 1 | |
| 495 | P | CCA | 29 (5.7) | 252 (66.5) | 27 (23.9) | 0 (0.0) | 4 (10.5) | 0 (0.0) | 23 (29.9) | P495Q | CAA | 2.5 | P495T | ACA | 2.5 |
| 495 | CCG | 477 (94.3) | 125 (33) | 2 (1.8) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | P495Q | CAG | 2.5 | P495T | ACG | 2.5 | |
| 495 | CCT | 0 (0.0) | 2 (0.5) | 83 (73.4) | 3 (21.4) | 0 (0.0) | 0 (0.0) | 28 (36.3) | P495Q | CAA/G | 5 | P495T | ACT | 2.5 | |
| 495 | CCC | 0 (0.0) | 0 (0.0) | 1 (0.9) | 11 (78.6) | 34 (89.5) | 17 (100) | 25 (32.5) | P495Q | CAA/G | 5 | P495T | ACC | 2.5 | |
| 496 | P | CCC | 502 (99.2) | 371 (97.9) | 109 (96.4) | 13 (92.9) | 0 (0.0) | 0 (0.0) | 30 (39) | P496S | TCC | 1 | |||
| 496 | CCA | 0 (0.0) | 0 (0.0) | 1 (0.9) | 0 (0.0) | 17 (44.7) | 4 (23.6) | 17 (22.1) | P496S | TCA | 1 | ||||
| 496 | CCG | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 21 (55.3) | 5 (29.4) | 24 (31.1) | P496S | TCG | 1 | ||||
| 496 | CCT | 3 (0.6) | 8 (2.1) | 3 (2.7) | 1 (7.1) | 0 (0.0) | 5 (29.4) | 6 (7.8) | P496S | TCT | 1 | ||||
| 499 | V | GTC | 2 (0.4) | 323 (85.2) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | V499A | GCC | 1 | |||
| 499 | GTG | 0 (0.0) | 0 (0.0) | 8 (7.1) | 0 (0.0) | 2 (5.3) | 0 (0.0) | 0 (0.0) | V499A | GCG | 1 | ||||
| 499 | GTT | 2 (0.4) | 1 (0.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | V499A | GCT | 1 | ||||
| 499 | T | ACC | 0 (0.0) | 16 (4.2) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | T499A | GCC | 1 | |||
| 499 | ACG | 0 (0.0) | 0 (0.0) | 2 (1.8) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | T499A | GCG | 1 | ||||
| 499 | ACT | 12 (2.4) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | T499A | GCT | 1 | ||||
| 499 | A | GCC | 21 (4.2) | 33 (8.7) | 0 (0.0) | 1 (7.1) | 1 (2.6) | 0 (0.0) | 60 (77.9) | ||||||
| 499 | GCT | 468 (92.5) | 5 (1.3) | 1 (0.9) | 9 (64.3) | 1 (2.6) | 17 (100) | 11 (14.3) | |||||||
| 499 | GCG | 1 (0.2) | 0 (0.0) | 102 (90.3) | 3 (21.4) | 34 (89.5) | 0 (0.0) | 5 (6.5) | |||||||
| Class 2 | |||||||||||||||
| 426 | M | ATG | 462 (91.3) | 359 (94.7) | 113 (100) | 12 (85.7) | 38 (100) | 17 (100) | 53 (68.8) | M426A | GCG | 2 | M426T | ACG | 1 |
| 426 | I | ATA | 1 (0.2) | 0 (0.0) | 0 (0.0) | 2 (14.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | I426A | GCA | 2 | I426T | ACA | 1 |
| 426 | L | CTA | 1 (0.2) | 4 (1.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | L426A | GCA | 3.5 | L426T | ACA | 3.5 |
| 426 | CTG | 11 (2.2) | 6 (1.6) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | L426A | GCG | 3.5 | L426T | ACG | 3.5 | |
| 426 | TTG | 22 (4.3) | 4 (1.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | L426A | GCG | 3.5 | L426T | ACG | 3.5 | |
| 426 | TTA | 4 (0.8) | 2 (0.5) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | L426A | GCA | 3.5 | L426T | ACA | 3.5 | |
| 426 | T | ACG | 0 (0.0) | 2 (0.5) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | T426A | GCG | 1 | |||
| 426 | A | GCG | 0 (0.0) | 2 (0.5) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | A426T | ACG | 1 | |||
| 426 | C | TGC | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 24 (31.2) | C426A | GCC | 5 | C426T | ACC | 5 |
| 482 | I | ATC | 503 (99.4) | 377 (99.4) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 17 (100) | 0 (0.0) | I482L | CTC | 2.5 | I482S | AGC | 2.5 |
| 482 | ATT | 2 (0.4) | 1 (0.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | I482L | CTT | 2.5 | I482S | AGT | 2.5 | |
| 482 | L | CTC | 1 (0.2) | 1 (0.3) | 87 (77) | 14 (100) | 37 (97.4) | 0 (0.0) | 75 (97.4) | L482S | ATC | 2.5 | |||
| 482 | CTG | 0 (0.0) | 0 (0.0) | 25 (22.1) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | L482S | ATA | 3.5 | ||||
| 482 | CTT | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (2.6) | 0 (0.0) | 2 (2.6) | L482S | ATT | 2.5 | ||||
| 494 | V | GTA | 53 (10.5) | 357 (94.2) | 0 (0.0) | 0 (0.0) | 24 (63.2) | 14 (82.3) | 12 (15.6) | V494A | GCA | 1 | |||
| 494 | GTC | 326 (64.4) | 4 (1.0) | 0 (0.0) | 0 (0.0) | 3 (7.9) | 0 (0.0) | 0 (0.0) | V494A | GCC | 1 | ||||
| 494 | GTG | 2 (0.4) | 5 (1.3) | 0 (0.0) | 0 (0.0) | 7 (18.4) | 3 (17.7) | 5 (6.5) | V494A | GCG | 1 | ||||
| 494 | GTT | 125 (24.7) | 12 (3.2) | 0 (0.0) | 0 (0.0) | 2 (5.3) | 0 (0.0) | 0 (0.0) | V494A | GCT | 1 | ||||
| 494 | A | GCA | 0 (0.0) | 1 (0.3) | 4 (3.5) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 16 (20.8) | ||||||
| 494 | GCG | 0 (0.0) | 0 (0.0) | 109 (96.5) | 0 (0.0) | 1 (2.6) | 0 (0.0) | 8 (10.4) | |||||||
| 494 | GCT | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (2.6) | 0 (0.0) | 26 (33.7) | |||||||
| 494 | GCC | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 8 (10.4) | |||||||
| 494 | I | ATC | 0 (0.0) | 0 (0.0) | 0 (0.0) | 4 (28.6) | 0 (0.0) | 0 (0.0) | 0 (0.0) | I494A | GCC | 2 | |||
| 494 | C | TGC | 0 (0.0) | 0 (0.0) | 0 (0.0) | 8 (57.2) | 0 (0.0) | 0 (0.0) | 0 (0.0) | C494A | GCC | 5 | |||
| 494 | M | ATG | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 2 (2.6) | M494A | GCG | 2 | |||
| Class 3 | |||||||||||||||
| 368 | S | TCC | 373 (73.7) | 365 (96.3) | 2 (1.8) | 8 (57.1) | 38 (100) | 0 (0.0) | 43 (55.8) | S368T | ACC | 2.5 | |||
| 368 | TCT | 127 (25.1) | 8 (2.1) | 0 (0.0) | 1 (7.2) | 0 (0.0) | 0 (0.0) | 1 (1.3) | S368T | ACT | 2.5 | ||||
| 368 | TCA | 3 (0.6) | 4 (1.0) | 110 (97.3) | 5 (35.7) | 0 (0.0) | 16 (94.1) | 19 (24.7) | S368T | ACA | 2.5 | ||||
| 368 | TCG | 3 (0.6) | 1 (0.3) | 1 (0.9) | 0 (0.0) | 0 (0.0) | 1 (5.9) | 11 (14.3) | S368T | ACG | 2.5 | ||||
| 368 | P | CCC | 0 (0.0) | 1 (0.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | P368T | ACC | 2.5 | |||
| 368 | A | GCA | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 3 (3.9) | A368T | ACA | 1 | |||
| 554 | G | GGT | 54 (10.7) | 317 (83.6) | 5 (4.4) | 9 (64.3) | 1 (2.6) | 2 (11.7) | 5 (6.5) | G554S | AGT | 1 | |||
| 554 | GGA | 1 (0.2) | 5 (1.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | G554S | AGT/C | 3.5 | ||||
| 554 | GGC | 450 (88.9) | 51 (13.5) | 107 (94.7) | 5 (35.7) | 37 (97.4) | 14 (82.3) | 72 (93.5) | G554S | TCC | 2.5 | ||||
| 554 | GGG | 1 (0.2) | 5 (1.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | G554S | AGT/C | 3.5 | ||||
| 556 | S | AGC | 503 (99.4) | 333 (87.9) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 41 (53.2) | S556G | GGC | 1 | |||
| 556 | AGT | 0 (0.0) | 6 (1.6) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | S556G | GGT | 1 | ||||
| 556 | N | AAC | 1 (0.2) | 6 (1.6) | 0 (0.0) | 0 (0.0) | 1 (2.6) | 0 (0.0) | 0 (0.0) | N556G | GGC | 2 | |||
| 556 | R | CGC | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 13 (16.9) | R556G | GGC | 2.5 | |||
| 556 | D | GAC | 0 (0.0) | 3 (0.8) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 21 (27.3) | D556G | GGC | 1 | |||
| 556 | G | GGC | 2 (0.4) | 31 (8.2) | 113 (100) | 14 (100) | 37 (97.4) | 17 (100) | 2 (2.6) | ||||||
| Class 4 | |||||||||||||||
| 316 | C | TGC | 33 (6.5) | 231 (60.9) | 29 (25.7) | 13 (92.9) | 28 (73.7) | 2 (11.7) | 76 (98.7) | C316N | AAC | 3.5 | |||
| TGT | 473 (93.5) | 9 (2.4) | 84 (74.3) | 1 (7.1) | 7 (18.4) | 15 (88.2) | 1 (1.3) | C316N | AAT | 3.5 | |||||
| N | AAC | 0 (0.0) | 130 (34.3) | 0 (0.0) | 0 (0.0) | 3 (7.9) | 0 (0.0) | 0 (0.0) | |||||||
| AAT | 0 (0.0) | 5 (1.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | ||||||||
| 445 | C | TGC | 458 (90.5) | 95 (25.1) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | C445F | TTC | 2.5 | |||
| 445 | TGT | 47 (9.3) | 281 (74.1) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | C445F | TTT | 2.5 | ||||
| 445 | F | TTC | 0 (0.0) | 2 (0.5) | 4 (3.5) | 38 (100) | 48 (62.4) | 1 (5.9) | 48 (62.4) | ||||||
| 445 | F | TTT | 0 (0.0) | 0 (0.0) | 109 (96.5) | 0 (0.0) | 29 (37.6) | 15 (88.2) | 29 (37.6) | ||||||
| 448 | Y | TAC | 498 (98.4) | 351 (92.6) | 80 (70.8) | 14 (100) | 38 (100) | 1 (5.8) | 70 (90.9) | Y448C | TGC | 1 | |||
| 448 | TAT | 8 (1.6) | 28 (7.4) | 33 (29.2) | 0 (0.0) | 0 (0.0) | 16 (94.1) | 7 (9.1) | Y448C | TGT | 1 | ||||
| 452 | Y | TAC | 503 (99.4) | 373 (98.4) | 40 (35.4) | 9 (64.3) | 31 (81.6) | 14 (82.4) | 35 (45.4) | Y452H | CAC | 1 | |||
| 452 | TAT | 1 (0.2) | 0 (0.0) | 73 (64.6) | 5 (35.7) | 7 (18.4) | 3 (17.6) | 42 (54.5) | Y452H | CAT | 1 | ||||
| 452 | H | CAC | 2 (0.4) | 6 (1.6) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | ||||||
The wild-type (WT) amino acid of HCV genotype 1b at each position associated with drug resistance is shown.
Data for the predominant wild-type codon for each genotype are shown in bold.
Codon for drug resistance variant requiring the lowest number of transitions/transversions starting from the wild-type or polymorphic codon detected in drug-naive patients.
Minimal numerical score obtained by summing the number of nucleotide transitions and/or transversions (scored as 1 and 2.5, respectively; see Materials and Methods) required to generate the specific drug resistance variant.
In contrast, the genetic variability among the six HCV genotypes had an impact on the calculation of the genetic barrier for the development of 3 other major NNI resistance substitutions (Fig. 4C; Table 1) and different minor NNI substitutions (Table 2). According to the different wild-type codon usage at position 414, a methionine (M) was observed as predominant wild-type amino acid in genotypes 1a, 1b, 3, 5, and 6, while genotypes 2 and 4 presented a glutamine (Q) or a valine (V), respectively (Table 1). In terms of genetic barrier, this difference translated into different scores for the development of 414T, a substitution known to confer high levels of resistance to both the NNI-3 inhibitors setrobuvir and ABT-333: HCV genotypes 1a, 1b, 3, 5, and 6 had a far lower genetic barrier (score = 1) than did HCV-2 (score = 5) and HCV-4 (score = 2). For the development of 422K, associated with high resistance to NNI-2 compounds (filibuvir, lomibuvir, and GS-9669), the genetic barrier was lower in genotypes 1a and 1b (score = 1) than in the other genotypes HCV-2 and -5 (score = 3.5) and HCV-3, -4, and -6 (score = 6) (Fig. 4C; Table 1).
Notably, in addition to differences between genotypes, a difference in genetic barrier score was observed also between HCV-1a and HCV-1b subtypes, for the development of the major NNI-2 resistance variant 419S (HCV-1a, score = 2; HCV-1b, score = 1; HCV-2 and -3, score = 2.5; HCV-4 and -6, score = 3.5; HCV-5, score = 1) (Table 1 and Fig. 4C).
Moreover, the HCV genetic variability also had an impact on the development of other minor NNI resistance variants (Table 2). For instance, according to the different wild-type codon usage at position 495, the potential development of the variant 495Q had a low genetic barrier in HCV-1a and -1b (score = 2.5) in comparison to HCV-2, -3, -4, -5, and -6 (score = 5). Also, for the development of the minor 554S substitution, HCV-1b and -3 had a lower genetic barrier (score = 1) than did HCV-1a, -2, -4, -5, and -6 (score = 2.5) (Table 2).
Docking analysis between NS5B from different HCV genotypes and sofosbuvir.
Sofosbuvir-NS5B docking analysis highlighted a better ligand affinity toward HCV-2 than toward the HCV-3 genotype. In particular, as shown in Fig. 5, sofosbuvir molecular recognition against HCV-1, HCV-2, and HCV-3 genotypes was associated with an increased consensus binding affinity toward HCV-2. Such a result was further emphasized by analyzing the free energy of complexation values of sofosbuvir toward the different considered subtypes of HCV genotypes. Moreover, redocking simulations, carried out in order to reproduce the binding mode of the cocrystallized inhibitor, allowed us to validate the adopted method (root mean square deviation = 1.26 Å; data not shown) and to use it as an effective predictive tool.
FIG 5.

Free energy of complexation (ΔGbind) of sofosbuvir against the different subtypes of HCV genotypes. The diagram reports the average sofosbuvir affinities toward HCV-1 (1a + 1b), HCV-2 (2a + 2b + 2c + 2k), and HCV-3 (3a + 3b + 3i + 3k). All data are expressed in kcal/mol.
DISCUSSION
This study evaluated the NS5B polymerase variability in a large number of HCV genotypes and subtypes commonly spread worldwide and its impact on the genetic barrier for the development of NI/NNI resistance substitutions. Analyzing 1,145 HCV NS5B polymerase sequences, we found an intermediate level of conservation among all 7 HCV genotypes, with 313/591 (53.0%) conserved amino acid residues (with a variability of ≤1%). This level of amino acid conservation is quite similar to what has been observed in two other studies, where the complete sequence of NS5B from different HCV isolates of genotypes 1 to 6 has been analyzed (26, 64). In the first study, analyzing 48 sequences, the number of fully conserved residues was 263 out of 591 (44.5% conservation), with 51% of them present as three or more adjacent amino acids (64). The overall degree of NS5B conservation is similar also to what was observed for NS3 and NS5A proteins, where 47% and approximately 50% of amino acid residues were conserved among all HCV genotypes, respectively (27, 65).
The NS5B polymerase palm domain, which contains the active site with the catalytic triad, results in the most conserved region compared with the others, fingers and thumb, which allow higher variability. According to our structural analysis, highly conserved NS5B positions among all HCV genotypes are those pivotal for enzyme functionality and stability. In all studies (including the present), the active site residues D220, D225, G317, D318, and D319 are highly conserved among all the HCV genotypes (26, 64). The other catalytic pocket residues, R158, S367, R386, and R394, which interact with the triphosphate moiety of nucleoside triphosphates (NTPs) (66), are also highly conserved, even if the codon for R394 is mutated to arginine in the HCV-5 reference sequence. The residues E18, Y191, C274, Y276, and H502, which take part in primer-template interaction (67), were also highly conserved except for H502, which is changed to serine in the majority of HCV-2 sequences and to asparagine in HCV-7. Interestingly, the presence of long regions of uninterrupted conserved residues corresponding to positions 219 to 230, 342 to 352, 364 to 373, and 524 to 530 has been also observed among all studies (26, 64). This could assist in the rational design of new HCV inhibitors with more favorable resistance profiles.
As we observed previously for the NS3 protease (31 out 181 residues, 17%), few NS5B residues (83/591, 14.0%) were highly variable among HCV genotypes, showing ≥25.1% amino acid variability, and were mostly located on the surface of NS5B protein. These results are in agreement with a lower ability to tolerate amino acid substitutions within the active site, compared to variations within allosteric sites. Indeed, allosteric sites are localized at the surface of the enzyme, where amino acid changes can be generated without severely affecting the polymerase activity (7), allowing higher levels of amino acid variability across HCV genotypes and lower fitness cost.
Overall, 9 NNI resistance variants were found as natural polymorphisms, with a prevalence ranging from 2 to 100%, in selected genotypes. In particular, the palm primary substitution 414L, described to confer high resistance in vitro to the NNI-3 setrobuvir (ANA-598) (12), was frequently found in HCV-4 (36.8% prevalence). Similarly, the thumb primary substitution 423I, reported to confer high resistance to the NNI-2 filibuvir (39), was found in all HCV-5 sequences, and rarely also in HCV-1a (1.8% prevalence). All other 11 primary palm/thumb NNI resistance variants (316Y, 414T, 419S, 422K, 423T/V, 448H, 486V, 495L, 554D, and 559G) were not observed in DAA-naive patients or only very rarely (≤1%).
Interestingly, other variants, associated with low-intermediate levels of resistance to NNIs, were naturally found with a different prevalence among HCV genotypes, and even in subtypes 1a and 1b. In particular, within the palm region, the 316N substitution, conferring an intermediate level of resistance to the NNI-4 tegobuvir (5.2-fold decrease in susceptibility) (68), was commonly found in HCV-1b (35.6% prevalence) and in HCV-4 (7.9% prevalence). Similarly, the variant 556G, observed in patients in early clinical trials with ABT-333 (41), in our analysis was found in 8.2% of HCV-1b sequences; 100% of HCV-2, -3, and -5 sequences; 97.4% of HCV-4 sequences; and 2.6% of HCV-6 sequences and was completely absent in HCV-1a.
Finally, among the thumb substitutions, 499A, associated with resistance to the NNI-1 deleobuvir (BI207127), was found with very high prevalence in HCV-1a, -2, -3, -4, -5, and -6 (prevalence, >90%) and with a lower prevalence in HCV-1b (10%).
In contrast, no instance of primary NI resistance variant 282T was found among all HCV sequences analyzed, with the exception of the reference sequence of HCV-4 (strain Y11604), as already reported in two previous papers (69, 70). However, T282 is not a universal marker for genotype 4, as additional sequences of HCV-4 show the presence of S282 (69).
Overall, these results well explain the higher heterogeneity in sensitivity to NNIs observed with the different HCV genotypes (71, 72), while the need for high conservation within the active site of the polymerase gives reason for the potent antiviral activity of NIs against a broad spectrum of HCV genotypes (12). For instance, in the context of interferon (IFN)-free regimens, several clinical trials in patients infected with HCV-1 and non-HCV-1 genotypes (such as HCV-2, -3, -4, -5, and -6) are ongoing with sofosbuvir, while very few are currently ongoing with NNIs (such as with ABT-333, GS-9669, and BMS-791325, mainly with HCV-1 and HCV-4) (www.clinicaltrials.gov). The simple combination of sofosbuvir and ribavirin for 12 weeks appears to be extremely successful in naive HCV-1-, -2-, and -3-infected patients (though this combination, using such a short regimen, is insufficient to cure previous null responders) (73). Interestingly, very recently, in analysis of two randomized phase III studies (involving patients with chronic HCV genotype 2 or 3 infection for whom treatment with pegylated interferon was not an option), the response rates of sofosbuvir and ribavirin were lower among patients with HCV-3 than among those with HCV-2 (74), indicating clearly that HCV-2 and HCV-3 are different viruses and that probably the duration and type of treatment should be considered separately in patients infected with those genotypes. Notably, even if an experimental structure of NS5B ternary complex with sofosbuvir is not available, and our docking analysis of sofosbuvir with NS5B from different HCV genotypes is largely speculative, we highlighted a better ligand affinity toward HCV-2 than toward HCV-3, in agreement with the experimental observations.
Besides the genetic variability and natural presence of drug resistance substitutions in selected genotypes before treatment, another factor that can be associated with the probability of success of a DAA-based regimen is the genetic barrier for the development of resistance. This can be broadly defined as the number and type of nucleotide mutations required for the generation of a specific resistance substitution, starting from the wild-type genetic background of the virus (75). Previous studies have shown that genetic variability among HIV, HBV, or HCV genotypes can in some cases facilitate the development of specific resistance variants (27, 47, 48, 75–77). For instance, we recently proposed that the high degree of HCV genetic variability makes HCV genotypes, and even subtypes, differently prone to the development of PI resistance substitutions, with important clinical implications for tailoring individualized and appropriate regimens (27).
We therefore analyzed also the genetic barrier for the development of the 32 NNI resistance variants (316Y/N, 368T, 414T/L, 419S, 421V, 422K, 423T/I/V, 426A/T, 445F, 448C/H, 452H, 482L/S, 486V, 494A, 495S/Q/L/A/T, 496S, 499A, 554D/S, 556G, and 559G) and the NI resistance variant 282T.
Regardless of HCV genotype, in our model, 10/13 major NNI resistance variants required only one nucleotide substitution to be generated (one transition, score = 1, 423I/T/V, 448H, 486V, 495L, 554D, and 559G; one transversion, score = 2.5, 316Y and 414L). Interestingly, these results are highly consistent with the experimental and clinical observations available so far. Indeed, the majority of these NNI resistance substitutions with a lower genetic barrier are found in patients failing their NNI-containing regimen. For instance, 495L, reported to confer the highest level of resistance in vitro to NNI-1 inhibitors (36, 78, 79), was also described in vivo in patients failing deleobuvir (BI207127) in combination with PEG-IFN plus ribavirin in genotype-1-infected patients (35, 36).
Similarly, the other two major substitutions, 316Y and 448H, with low genetic barriers were shown to strongly reduce, in vivo and in vitro, the viral susceptibility to different NNIs of both classes 3 and 4 (12). In particular, the 316Y variant, located near the polymerase active site, was described to confer resistance to NNI-4 and NNI-3 compounds, such as ABT-333 (12, 41, 80) and tegobuvir, along with substitutions at positions 448, 452, and 445 (44). The 448H variant also was found to be the first resistance substitution to emerge in HCV-1 patients failing tegobuvir in combination with PEG-IFN plus ribavirin (45).
Conversely, 3 other major NNI resistance variants (414T, 419S, and 422K) were associated with a different genetic barrier for their development among the six HCV genotypes. Interestingly, the major substitution 419S (associated with resistance to NNI-2s, filibuvir, lomibuvir, and GS9669) showed a different calculated score also between HCV-1a and HCV-1b subtypes (HCV-1a, score = 2; HCV-1b, score = 1; HCV-2 and -3, score = 2.5; HCV-4 and -6, score = 3.5; HCV-5, score = 1).
Finally, the major resistance variant S282T, selected in vitro by sofosbuvir and mericitabine (32, 33), deserves particular attention. Although this substitution requires only a single G-to-C transversion (score = 2.5) and is rarely seen in the clinic (if at all) (7, 75), because it alters the conformation of the enzyme catalytic site (81, 82), it severely compromises viral fitness among different HCV genotypes (32, 69, 83, 84), and biochemical data revealed deficiencies in de novo primed RNA synthesis by HCV NS5B (33). In this case, the deficit in viral fitness and the low frequencies of transversions over transitions within the diversity of viral quasispecies found by deep-sequencing analyses of HCV samples from treatment-naive patients represent an overall high barrier to the selection of 282T in vivo (75, 76). According to this observation, there is little in vivo evidence of drug resistance to NIs and, when detected, resistant variants with 282T rapidly revert to wild type as soon as the treatment is interrupted (85, 86).
Moreover, recent papers (76, 87), based on deep sequencing and single-genome analysis, showed that, specifically for HCV, the differences in frequencies of transitions and transversions are higher than what was previously proposed. These groups reported a range between 16 and 50. Our calculation model, instead, assigns a score of 1 for transitions and 2.5 for transversions, because it was based on an initial paper that addressed the issue of calculating the genetic barrier for development of drug resistance substitutions between subtypes (48). In this paper, it was reported that transitions (replacement of a purine by another purine or of a pyrimidine by another pyrimidine) are for steric reasons occurring on average 2.5 times more frequently than are transversions (replacement of a purine by a pyrimidine and vice versa). For this reason, it is important to note that our scores (1 and 2.5) are arbitrary values, and probably, the 2.5 score underestimates the actual experimental evidence of a much lower frequency for transversions (75).
Taken all together, our results, according to some previously reported studies (19, 24, 88, 89), suggest the utility of performing a genotypic resistance test before starting a DAA-containing regimen, especially in patients with advanced disease and/or previous nonresponse to PEG-IFN plus ribavirin.
The genetic variability among HCV genotypes represents indeed an important issue in the global approach for the management and treatment of HCV-related disease. Particularly for NNIs, the presence in DAA-naive patients of natural polymorphisms at NNI resistance positions in selected genotypes, together with a broad low genetic barrier for the development of resistance, impairs the development of antivirals within this class with a pan-genotype activity and a high barrier to resistance.
Therefore, the HCV genotypic resistance test can thus provide at the same time two important types of information for clinical management of patients with chronic HCV infection: a correct subtype assignment and detection of variants that are potential nonresponders to therapy, highlighting patients with a higher risk of failure.
ACKNOWLEDGMENTS
This work was supported by the Italian Ministry of Instruction, University and Research (MIUR) (Accordi di Programma 2011: RBAP11YS7K_001, Bandiera InterOmics Protocollo PB05 1°) and by the Aviralia Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
We thank Fabio Mercurio, who developed the algorithm using JavaScript to calculate the genetic barrier at each individual amino acid position.
Footnotes
Published ahead of print 3 March 2014
REFERENCES
- 1.Bacon BR, Gordon SC, Lawitz E, Marcellin P, Vierling JM, Zeuzem S, Poordad F, Goodman ZD, Sings HL, Boparai N, Burroughs M, Brass CA, Albrecht JK, Esteban R. 2011. Boceprevir for previously treated chronic HCV genotype 1 infection. N. Engl. J. Med. 364:1207–1217. 10.1056/NEJMoa1009482 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Zeuzem S, Andreone P, Pol S, Lawitz E, Diago M, Roberts S, Focaccia R, Younossi Z, Foster GR, Horban A, Ferenci P, Nevens F, Mullhaupt B, Pockros P, Terg R, Shouval D, van Hoek B, Weiland O, van Heeswijk R, De Meyer S, Luo D, Boogaerts G, Polo R, Picchio G, Beumont M. 2011. Telaprevir for retreatment of HCV infection. N. Engl. J. Med. 364:2417–2428. 10.1056/NEJMoa1013086 [DOI] [PubMed] [Google Scholar]
- 3.Jacobson IM, McHutchison JG, Dusheiko G, Di Bisceglie AM, Reddy KR, Bzowej NH, Marcellin P, Muir AJ, Ferenci P, Flisiak R, George J, Rizzetto M, Shouval D, Sola R, Terg RA, Yoshida EM, Adda N, Bengtsson L, Sankoh AJ, Kieffer TL, George S, Kauffman RS, Zeuzem S. 2011. Telaprevir for previously untreated chronic hepatitis C virus infection. N. Engl. J. Med. 364:2405–2416. 10.1056/NEJMoa1012912 [DOI] [PubMed] [Google Scholar]
- 4.Poordad F, McCone J, Jr, Bacon BR, Bruno S, Manns MP, Sulkowski MS, Jacobson IM, Reddy KR, Goodman ZD, Boparai N, DiNubile MJ, Sniukiene V, Brass CA, Albrecht JK, Bronowicki JP. 2011. Boceprevir for untreated chronic HCV genotype 1 infection. N. Engl. J. Med. 364:1195–1206. 10.1056/NEJMoa1010494 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Scheel TK, Rice CM. 2013. Understanding the hepatitis C virus life cycle paves the way for highly effective therapies. Nat. Med. 19:837–849. 10.1038/nm.3248 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Lange CM, Zeuzem S. 2013. Perspectives and challenges of interferon-free therapy for chronic hepatitis C. J. Hepatol. 58:583–592. 10.1016/j.jhep.2012.10.019 [DOI] [PubMed] [Google Scholar]
- 7.Vermehren J, Sarrazin C. 2012. The role of resistance in HCV treatment. Best Pract. Res. Clin. Gastroenterol. 26:487–503. 10.1016/j.bpg.2012.09.011 [DOI] [PubMed] [Google Scholar]
- 8.Manns MP, von HT. 2013. Novel therapies for hepatitis C—one pill fits all? Nat. Rev. Drug Discov. 12:595–610. 10.1038/nrd4050 [DOI] [PubMed] [Google Scholar]
- 9.Lesburg CA, Cable MB, Ferrari E, Hong Z, Mannarino AF, Weber PC. 1999. Crystal structure of the RNA-dependent RNA polymerase from hepatitis C virus reveals a fully encircled active site. Nat. Struct. Biol. 6:937–943. 10.1038/13305 [DOI] [PubMed] [Google Scholar]
- 10.Miller RH, Purcell RH. 1990. Hepatitis C virus shares amino acid sequence similarity with pestiviruses and flaviviruses as well as members of two plant virus supergroups. Proc. Natl. Acad. Sci. U. S. A. 87:2057–2061. 10.1073/pnas.87.6.2057 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Casey LC, Lee WM. 2013. Hepatitis C virus therapy update 2013. Curr. Opin. Gastroenterol. 29:243–249. 10.1097/MOG.0b013e32835ff972 [DOI] [PubMed] [Google Scholar]
- 12.Sarrazin C, Hezode C, Zeuzem S, Pawlotsky JM. 2012. Antiviral strategies in hepatitis C virus infection. J. Hepatol. 56(Suppl 1):S88–S100. 10.1016/S0168-8278(12)60010-5 [DOI] [PubMed] [Google Scholar]
- 13.Pawlotsky JM. 2013. Treatment of chronic hepatitis C: current and future. Curr. Top. Microbiol. Immunol. 369:321–342. 10.1007/978-3-642-27340-7_13 [DOI] [PubMed] [Google Scholar]
- 14.Londoño MC, Lens S, Forns X. 2013. Interferon free regimens for the “difficult-to-treat”: are we there? J. Hepatol. 58:643–645. 10.1016/j.jhep.2013.01.007 [DOI] [PubMed] [Google Scholar]
- 15.Halfon P, Sarrazin C. 2012. Future treatment of chronic hepatitis C with direct acting antivirals: is resistance important? Liver Int. 32(Suppl 1):79–87. 10.1111/j.1478-3231.2011.02716.x [DOI] [PubMed] [Google Scholar]
- 16.Pawlotsky JM. 2011. Treatment failure and resistance with direct-acting antiviral drugs against hepatitis C virus. Hepatology 53:1742–1751. 10.1002/hep.24262 [DOI] [PubMed] [Google Scholar]
- 17.Nakano T, Lau GM, Lau GM, Sugiyama M, Mizokami M. 2012. An updated analysis of hepatitis C virus genotypes and subtypes based on the complete coding region. Liver Int. 32:339–345. 10.1111/j.1478-3231.2011.02684.x [DOI] [PubMed] [Google Scholar]
- 18.Kuiken C, Simmonds P. 2009. Nomenclature and numbering of the hepatitis C virus. Methods Mol. Biol. 510:33–53. 10.1007/978-1-59745-394-3_4 [DOI] [PubMed] [Google Scholar]
- 19.Kuntzen T, Timm J, Berical A, Lennon N, Berlin AM, Young SK, Lee B, Heckerman D, Carlson J, Reyor LL, Kleyman M, McMahon CM, Birch C, Schulze Zur Wiesch J, Ledlie T, Koehrsen M, Kodira C, Roberts AD, Lauer GM, Rosen HR, Bihl F, Cerny A, Spengler U, Liu Z, Kim AY, Xing Y, Schneidewind A, Madey MA, Fleckenstein JF, Park VM, Galagan JE, Nusbaum C, Walker BD, Lake-Bakaar GV, Daar ES, Jacobson IM, Gomperts ED, Edlin BR, Donfield SM, Chung RT, Talal AH, Marion T, Birren BW, Henn MR, Allen TM. 2008. Naturally occurring dominant resistance mutations to hepatitis C virus protease and polymerase inhibitors in treatment-naive patients. Hepatology 48:1769–1778. 10.1002/hep.22549 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Bartels DJ, Zhou Y, Zhang EZ, Marcial M, Byrn RA, Pfeiffer T, Tigges AM, Adiwijaya BS, Lin C, Kwong AD, Kieffer TL. 2008. Natural prevalence of hepatitis C virus variants with decreased sensitivity to NS3.4A protease inhibitors in treatment-naive subjects. J. Infect. Dis. 198:800–807. 10.1086/591141 [DOI] [PubMed] [Google Scholar]
- 21.Adiwijaya BS, Herrmann E, Hare B, Kieffer T, Lin C, Kwong AD, Garg V, Randle JC, Sarrazin C, Zeuzem S, Caron PR. 2010. A multi-variant, viral dynamic model of genotype 1 HCV to assess the in vivo evolution of protease-inhibitor resistant variants. PLoS Comput. Biol. 6:e1000745. 10.1371/journal.pcbi.1000745 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Bartels DJ, Sullivan JC, Zhang EZ, Tigges AM, Dorrian JL, De Meyer S, Takemoto D, Dondero E, Kwong AD, Picchio G, Kieffer TL. 2013. Hepatitis C virus variants with decreased sensitivity to direct-acting antivirals (DAAs) were rarely observed in DAA-naive patients prior to treatment. J. Virol. 87:1544–1553. 10.1128/JVI.02294-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Alves R, Queiroz AT, Pessoa MG, da Silva EF, Mazo DF, Carrilho FJ, Carvalho-Filho RJ, de Carvalho IM. 2013. The presence of resistance mutations to protease and polymerase inhibitors in hepatitis C virus sequences from the Los Alamos databank. J. Viral Hepat. 20:414–421. 10.1111/jvh.12051 [DOI] [PubMed] [Google Scholar]
- 24.Plaza Z, Soriano V, Gonzalez MM, Di Lello FA, Macias J, Labarga P, Pineda JA, Poveda E. 2011. Impact of antiretroviral therapy on the variability of the HCV NS5B polymerase in HIV/HCV co-infected patients. J. Antimicrob. Chemother. 66:2838–2842. 10.1093/jac/dkr385 [DOI] [PubMed] [Google Scholar]
- 25.Poveda E, Soriano V. 2012. Drug resistance testing in hepatitis C therapy. Future Virol. 7:309–321. 10.2217/fvl.12.13 [DOI] [Google Scholar]
- 26.Waheed Y, Saeed U, Anjum S, Afzal MS, Ashraf M. 2012. Development of global consensus sequence and analysis of highly conserved domains of the HCV NS5B protein. Hepat. Mon. 12:e6142. 10.5812/hepatmon.6142 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Cento V, Mirabelli C, Salpini R, Dimonte S, Artese A, Costa G, Mercurio F, Svicher V, Parrotta L, Bertoli A, Ciotti M, Di Paolo D, Sarrecchia C, Andreoni M, Alcaro S, Angelico M, Perno CF, Ceccherini-Silberstein F. 2012. HCV genotypes are differently prone to the development of resistance to linear and macrocyclic protease inhibitors. PLoS One 7:e39652. 10.1371/journal.pone.0039652 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S. 2011. MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol. Biol. Evol. 28:2731–2739. 10.1093/molbev/msr121 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Nittoli T, Curran K, Insaf S, DiGrandi M, Orlowski M, Chopra R, Agarwal A, Howe AY, Prashad A, Floyd MB, Johnson B, Sutherland A, Wheless K, Feld B, O'Connell J, Mansour TS, Bloom J. 2007. Identification of anthranilic acid derivatives as a novel class of allosteric inhibitors of hepatitis C NS5B polymerase. J. Med. Chem. 50:2108–2116. 10.1021/jm061428x [DOI] [PubMed] [Google Scholar]
- 30.Wyles DL. 2012. Beyond telaprevir and boceprevir: resistance and new agents for hepatitis C virus infection. Top. Antivir. Med. 20:139–145 [PMC free article] [PubMed] [Google Scholar]
- 31.Aloia AL, Locarnini S, Beard MR. 2012. Antiviral resistance and direct-acting antiviral agents for HCV. Antivir. Ther. 17:1147–1162. 10.3851/IMP2426 [DOI] [PubMed] [Google Scholar]
- 32.Lam AM, Espiritu C, Bansal S, Micolochick Steuer HM, Niu C, Zennou V, Keilman M, Zhu Y, Lan S, Otto MJ, Furman PA. 2012. Genotype and subtype profiling of PSI-7977 as a nucleotide inhibitor of hepatitis C virus. Antimicrob. Agents Chemother. 56:3359–3368. 10.1128/AAC.00054-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Pawlotsky JM, Najera I, Jacobson I. 2012. Resistance to mericitabine, a nucleoside analogue inhibitor of HCV RNA-dependent RNA polymerase. Antivir. Ther. 17:411–423. 10.3851/IMP2088 [DOI] [PubMed] [Google Scholar]
- 34.Tan H, Jekle A, Kang H, Moy C, Deval J, Jin Z, Jiang M, Ardzinski A, Dyatkina N, Chanda SM, Kieffer TL, Blatt LM, Beigelman L, Smith DB, Symons JA. 2013. Preclinical and in vitro resistance profile of potent nucleotide polymerase inhibitors of HCV: ALS-2200 and its single diastereomer, VX-135, abstr O-02 Abstr. 8th Internat Wksp Hep C Resist New Compounds, Boston, MA [Google Scholar]
- 35.Larrey D, Lohse AW, de Ledinghen V, Trepo C, Gerlach T, Zarski JP, Tran A, Mathurin P, Thimme R, Arasteh K, Trautwein C, Cerny A, Dikopoulos N, Schuchmann M, Heim MH, Gerken G, Stern JO, Wu K, Abdallah N, Girlich B, Scherer J, Berger F, Marquis M, Kukolj G, Bocher W, Steffgen J. 2012. Rapid and strong antiviral activity of the non-nucleosidic NS5B polymerase inhibitor BI 207127 in combination with peginterferon alfa 2a and ribavirin. J. Hepatol. 57:39–46. 10.1016/j.jhep.2012.02.015 [DOI] [PubMed] [Google Scholar]
- 36.Larrey D, Lohse AW, Trepo C, Bronowicki JP, Arasteh K, Bourliere M, Calleja JL, Stern JO, Nehmiz G, Abdallah N, Berger KL, Marquis M, Steffgen J, Kukolj G. 2013. Antiviral effect, safety, and pharmacokinetics of 5 days' oral administration of deleobuvir (BI 207127), an investigational HCV RNA polymerase inhibitor, in patients with chronic hepatitis C. Antimicrob. Agents Chemother. 57:4727–4735. 10.1128/AAC.00565-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Devogelaere B, Berke JM, Vijgen L, Dehertogh P, Fransen E, Cleiren E, van der Helm L, Nyanguile O, Tahri A, Amssoms K, Lenz O, Cummings MD, Clayton RF, Vendeville S, Raboisson P, Simmen KA, Fanning GC, Lin TI. 2012. TMC647055, a potent nonnucleoside hepatitis C virus NS5B polymerase inhibitor with cross-genotypic coverage. Antimicrob. Agents Chemother. 56:4676–4684. 10.1128/AAC.00245-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.McPhee F, Falk P, Fracasso P, Lemm J, Liu M, Kirk M, Hernandez D, Cooney E, Hughes E, Gao M. 2012. Characterization of viral escape in HCV genotype 1-infected patients treated with BMS-791325 and pegylated interferon-alfa and ribavirin. J. Hepatol. 56(Suppl 2):S473. 10.1016/S0168-8278(12)61206-9 [DOI] [Google Scholar]
- 39.Troke PJ, Lewis M, Simpson P, Gore K, Hammond J, Craig C, Westby M. 2012. Characterization of resistance to the nonnucleoside NS5B inhibitor filibuvir in hepatitis C virus-infected patients. Antimicrob. Agents Chemother. 56:1331–1341. 10.1128/AAC.05611-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Bartels DJ, Jiang M, Zhang E, Tigges A, Sullivan J, Dorrian J, Spanks J, Ardzinski A, Nicolas O, Bedard J, Kwong A, Kieffer T. 2010. Characterization of HCV variants in genotype 1 patients administered VX-222, a non-nucleoside polymerase inhibitor, abstr O-10 Abstr. 5th Internat Wksp Hep C Resist New Compounds, Boston, MA [Google Scholar]
- 41.Middleton T, He Y, Beyer J, Menon R, Klein CE, Cohen D, Collins C. 2010. Resistance profile of ABT-333 and relationship to viral load decrease in patients treated in combination with peg-interferon and ribavirin for 28 days. J. Hepatol. 52(Suppl 1):S296–S297. 10.1016/S0168-8278(10)60764-7 [DOI] [Google Scholar]
- 42.Fenaux M, Eng S, Leavitt SA, Lee YJ, Mabery EM, Tian Y, Byun D, Canales E, Clarke MO, Doerffler E, Lazerwith SE, Lew W, Liu Q, Mertzman M, Morganelli P, Xu L, Ye H, Zhang J, Matles M, Murray BP, Mwangi J, Zhang J, Hashash A, Krawczyk SH, Bidgood AM, Appleby TC, Watkins WJ. 2013. Preclinical characterization of GS-9669, a thumb site II inhibitor of the hepatitis C virus NS5B polymerase. Antimicrob. Agents Chemother. 57:804–810. 10.1128/AAC.02052-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Thompson PA, Patel RA, Showalter RE, Li C, Appleman JR, Steffy KR. 2008. In vitro studies demonstrate that combinations of antiviral agents that include HCV polymerase inhibitor ANA598 have the potential to overcome viral resistance. Hepatology 48(Suppl):1164A [Google Scholar]
- 44.Shih IH, Vliegen I, Peng B, Yang H, Hebner C, Paeshuyse J, Purstinger G, Fenaux M, Tian Y, Mabery E, Qi X, Bahador G, Paulson M, Lehman LS, Bondy S, Tse W, Reiser H, Lee WA, Schmitz U, Neyts J, Zhong W. 2011. Mechanistic characterization of GS-9190 (tegobuvir), a novel nonnucleoside inhibitor of hepatitis C virus NS5B polymerase. Antimicrob. Agents Chemother. 55:4196–4203. 10.1128/AAC.00307-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Hebner C, Harris J, Oldach D, Miller MD, Mo H. 2011. Emergence and persistence of NS5B mutations following combination treatment with tegobuvir (GS-9190) plus standard of care-long-term follow-up from the phase IIB study GS-US-1960103. J. Hepatol. 54(Suppl 1):S18–S19. 10.1016/S0168-8278(11)61213-0 [DOI] [Google Scholar]
- 46.McCarville J, Gillum JM, Seifer M, Dumbrava VT, Pietropaolo K, Sullivan-Bolyai J, Strandring DN. 2011. Patterns of NS5B mutations in a 3-day clinical trial of HCV non-nucleoside polymerase inhibitor IDX375. Hepatology 54(Suppl S1):542A [Google Scholar]
- 47.Svicher V, Cento V, Salpini R, Mercurio F, Fraune M, Beggel B, Han Y, Gori C, Wittkop L, Bertoli A, Micheli V, Gubertini G, Longo R, Romano S, Visca M, Gallinaro V, Marino N, Mazzotta F, De Sanctis GM, Fleury H, Trimoulet P, Angelico M, Cappiello G, Zhang XX, Verheyen J, Ceccherini-Silberstein F, Perno CF. 2011. Role of hepatitis B virus genetic barrier in drug-resistance and immune-escape development. Dig. Liver Dis. 43:975–983. 10.1016/j.dld.2011.07.002 [DOI] [PubMed] [Google Scholar]
- 48.van de Vijver DA, Wensing AM, Angarano G, Asjo B, Balotta C, Boeri E, Camacho R, Chaix ML, Costagliola D, De Luca A, Derdelinckx I, Grossman Z, Hamouda O, Hatzakis A, Hemmer R, Hoepelman A, Horban A, Korn K, Kucherer C, Leitner T, Loveday C, MacRae E, Maljkovic I, de Mendoza C, Meyer L, Nielsen C, Op de Coul EL, Ormaasen V, Paraskevis D, Perrin L, Puchhammer-Stockl E, Ruiz L, Salminen M, Schmit JC, Schneider F, Schuurman R, Soriano V, Stanczak G, Stanojevic M, Vandamme AM, Van LK, Violin M, Wilbe K, Yerly S, Zazzi M, Boucher CA. 2006. The calculated genetic barrier for antiretroviral drug resistance substitutions is largely similar for different HIV-1 subtypes. J. Acquir. Immune Defic. Syndr. 41:352–360. 10.1097/01.qai.0000209899.05126.e4 [DOI] [PubMed] [Google Scholar]
- 49.Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, Weissig H, Shindyalov IN, Bourne PE. 2000. The Protein Data Bank. Nucleic Acids Res. 28:235–242. 10.1093/nar/28.1.235 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Gentles RG, Sheriff S, Beno BR, Wan C, Kish K, Ding M, Zheng X, Chupak L, Poss MA, Witmer MR, Morin P, Wang YK, Rigat K, Lemm J, Voss S, Liu M, Pelosi L, Roberts SB, Gao M, Kadow JF. 2011. Investigation of the mode of binding of a novel series of N-benzyl-4-heteroaryl-1-(phenylsulfonyl)piperazine-2-carboxamides to the hepatitis C virus polymerase. Bioorg. Med. Chem. Lett. 21:2212–2215. 10.1016/j.bmcl.2011.03.011 [DOI] [PubMed] [Google Scholar]
- 51.Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, McWilliam H, Valentin F, Wallace IM, Wilm A, Lopez R, Thompson JD, Gibson TJ, Higgins DG. 2007. Clustal W and Clustal X version 2.0. Bioinformatics 23:2947–2948. 10.1093/bioinformatics/btm404 [DOI] [PubMed] [Google Scholar]
- 52.Banks JL, Beard HS, Cao Y, Cho AE, Damm W, Farid R, Felts AK, Halgren TA, Mainz DT, Maple JR, Murphy R, Philipp DM, Repasky MP, Zhang LY, Berne BJ, Friesner RA, Gallicchio E, Levy RM. 2005. Integrated modeling program, applied chemical theory (IMPACT). J. Comput. Chem. 26:1752–1780. 10.1002/jcc.20292 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Still WC, Tempezyk A, Hawley RC, Hendrickson T. 1990. Semianalytical treatment of solvation for molecular mechanics and dynamics. J. Am. Chem. Soc. 112:6127–6129. 10.1021/ja00172a038 [DOI] [Google Scholar]
- 54.Cho AE, Guallar V, Berne BJ, Friesner R. 2005. Importance of accurate charges in molecular docking: quantum mechanical/molecular mechanical (QM/MM) approach. J. Comput. Chem. 26:915–931. 10.1002/jcc.20222 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Alcaro S, Alteri C, Artese A, Ceccherini-Silberstein F, Costa G, Ortuso F, Bertoli A, Forbici F, Santoro MM, Parrotta L, Flandre P, Masquelier B, Descamps D, Calvez V, Marcelin AG, Perno CF, Sing T, Svicher V. 2011. Docking analysis and resistance evaluation of clinically relevant mutations associated with the HIV-1 non-nucleoside reverse transcriptase inhibitors nevirapine, efavirenz and etravirine. ChemMedChem 6:2203–2213. 10.1002/cmdc.201100362 [DOI] [PubMed] [Google Scholar]
- 56.Alcaro S, Costa G, Distinto S, Moraca F, Ortuso F, Parrotta L, Artese A. 2012. The polymorphisms of DNA G-quadruplex investigated by docking experiments with telomestatin enantiomers. Curr. Pharm. Des. 18:1873–1879. 10.2174/138161212799958495 [DOI] [PubMed] [Google Scholar]
- 57.Chen M, Svicher V, Artese A, Costa G, Alteri C, Ortuso F, Parrotta L, Liu Y, Liu C, Perno CF, Alcaro S, Zhang J. 2013. Detecting and understanding genetic and structural features in HIV-1 B subtype V3 underlying HIV-1 co-receptor usage. Bioinformatics 29:451–460. 10.1093/bioinformatics/btt002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Distinto S, Yanez M, Alcaro S, Cardia MC, Gaspari M, Sanna ML, Meleddu R, Ortuso F, Kirchmair J, Markt P, Bolasco A, Wolber G, Secci D, Maccioni E. 2012. Synthesis and biological assessment of novel 2-thiazolylhydrazones and computational analysis of their recognition by monoamine oxidase B. Eur. J. Med. Chem. 48:284–295. 10.1016/j.ejmech.2011.12.027 [DOI] [PubMed] [Google Scholar]
- 59.Gaspar A, Silva T, Yanez M, Vina D, Orallo F, Ortuso F, Uriarte E, Alcaro S, Borges F. 2011. Chromone, a privileged scaffold for the development of monoamine oxidase inhibitors. J. Med. Chem. 54:5165–5173. 10.1021/jm2004267 [DOI] [PubMed] [Google Scholar]
- 60.Fioravanti R, Bolasco A, Manna F, Rossi F, Orallo F, Ortuso F, Alcaro S, Cirilli R. 2010. Synthesis and biological evaluation of N-substituted-3,5-diphenyl-2-pyrazoline derivatives as cyclooxygenase (COX-2) inhibitors. Eur. J. Med. Chem. 45:6135–6138. 10.1016/j.ejmech.2010.10.005 [DOI] [PubMed] [Google Scholar]
- 61.Alcaro S, Artese A, Iley JN, Missailidis S, Ortuso F, Parrotta L, Pasceri R, Paduano F, Sissi C, Trapasso F, Vigorita MG. 2010. Rational design, synthesis, biophysical and antiproliferative evaluation of fluorenone derivatives with DNA G-quadruplex binding properties. ChemMedChem 5:575–583. 10.1002/cmdc.200900541 [DOI] [PubMed] [Google Scholar]
- 62.Waheed Y, Bhatti A, Ashraf M. 2013. RNA dependent RNA polymerase of HCV: a potential target for the development of antiviral drugs. Infect. Genet. Evol. 14:247–257. 10.1016/j.meegid.2012.12.004 [DOI] [PubMed] [Google Scholar]
- 63.Ago H, Adachi T, Yoshida A, Yamamoto M, Habuka N, Yatsunami K, Miyano M. 1999. Crystal structure of the RNA-dependent RNA polymerase of hepatitis C virus. Structure 7:1417–1426. 10.1016/S0969-2126(00)80031-3 [DOI] [PubMed] [Google Scholar]
- 64.Hagedorn CH, van Beers EH, De Staercke C. 2000. Hepatitis C virus RNA-dependent RNA polymerase (NS5B polymerase). Curr. Top. Microbiol. Immunol. 242:225–260 [DOI] [PubMed] [Google Scholar]
- 65.Love RA, Brodsky O, Hickey MJ, Wells PA, Cronin CN. 2009. Crystal structure of a novel dimeric form of NS5A domain I protein from hepatitis C virus. J. Virol. 83:4395–4403. 10.1128/JVI.02352-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Bressanelli S, Tomei L, Rey FA, De Francesco R. 2002. Structural analysis of the hepatitis C virus RNA polymerase in complex with ribonucleotides. J. Virol. 76:3482–3492. 10.1128/JVI.76.7.3482-3492.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Qin W, Yamashita T, Shirota Y, Lin Y, Wei W, Murakami S. 2001. Mutational analysis of the structure and functions of hepatitis C virus RNA-dependent RNA polymerase. Hepatology 33:728–737. 10.1053/jhep.2001.22765 [DOI] [PubMed] [Google Scholar]
- 68.Mo H, Hebner C, Han B, Harris A, Bae K, Wong W, Delaney W, Oldach D, Miller MD. 2011. Characterization of viral resistance mutations in genotype 1 HCV patients receiving combination therapy with protease inhibitor and a polymerase inhibitor with or without ribavirin. J. Hepatol. 54(Suppl 1):S484. 10.1016/S0168-8278(11)61227-0 [DOI] [Google Scholar]
- 69.Ludmerer SW, Graham DJ, Boots E, Murray EM, Simcoe A, Markel EJ, Grobler JA, Flores OA, Olsen DB, Hazuda DJ, Lafemina RL. 2005. Replication fitness and NS5B drug sensitivity of diverse hepatitis C virus isolates characterized by using a transient replication assay. Antimicrob. Agents Chemother. 49:2059–2069. 10.1128/AAC.49.5.2059-2069.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Legrand-Abravanel F, Henquell C, Le Guillou-Guillemette H, Balan V, Mirand A, Dubois M, Lunel-Fabiani F, Payan C, Izopet J. 2009. Naturally occurring substitutions conferring resistance to hepatitis C virus polymerase inhibitors in treatment-naive patients infected with genotypes 1–5. Antivir. Ther. 14:723–730 [PubMed] [Google Scholar]
- 71.De Francesco R, Carfi A. 2007. Advances in the development of new therapeutic agents targeting the NS3-4A serine protease or the NS5B RNA-dependent RNA polymerase of the hepatitis C virus. Adv. Drug Deliv. Rev. 59:1242–1262. 10.1016/j.addr.2007.04.016 [DOI] [PubMed] [Google Scholar]
- 72.Beaulieu PL, Tsantrizos YS. 2004. Inhibitors of the HCV NS5B polymerase: new hope for the treatment of hepatitis C infections. Curr. Opin. Investig. Drugs 5:838–850 [PubMed] [Google Scholar]
- 73.Gane EJ, Stedman CA, Hyland RH, Pang PS, Sorensen RD, Symonds W, Hindes RD, Berrey MM. 2012. Once daily sofosbuvir (GS-7977) plus ribavirin in patients with HCV genotypes 1, 2, and 3: the ELECTRON Trial. 63rd Annu. Meet. Am. Assoc. Study Liver Dis. Hepatology 56(Suppl S1):306A–307A [Google Scholar]
- 74.Jacobson IM, Gordon SC, Kowdley KV, Yoshida EM, Rodriguez-Torres M, Sulkowski MS, Shiffman ML, Lawitz E, Everson G, Bennett M, Schiff E, Al-Assi MT, Subramanian GM, An D, Lin M, McNally J, Brainard D, Symonds WT, McHutchison JG, Patel K, Feld J, Pianko S, Nelson DR. 2013. Sofosbuvir for hepatitis C genotype 2 or 3 in patients without treatment options. N. Engl. J. Med. 368:1867–1877. 10.1056/NEJMoa1214854 [DOI] [PubMed] [Google Scholar]
- 75.Gotte M. 2012. The distinct contributions of fitness and genetic barrier to the development of antiviral drug resistance. Curr. Opin. Virol. 2:644–650. 10.1016/j.coviro.2012.08.004 [DOI] [PubMed] [Google Scholar]
- 76.Powdrill MH, Tchesnokov EP, Kozak RA, Russell RS, Martin R, Svarovskaia ES, Mo H, Kouyos RD, Gotte M. 2011. Contribution of a mutational bias in hepatitis C virus replication to the genetic barrier in the development of drug resistance. Proc. Natl. Acad. Sci. U. S. A. 108:20509–20513. 10.1073/pnas.1105797108 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Maiga AI, Malet I, Soulie C, Derache A, Koita V, Amellal B, Tchertanov L, Delelis O, Morand-Joubert L, Mouscadet JF, Murphy R, Cisse M, Katlama C, Calvez V, Marcelin AG. 2009. Genetic barriers for integrase inhibitor drug resistance in HIV type-1 B and CRF02_AG subtypes. Antivir. Ther. 14:123–129 [PubMed] [Google Scholar]
- 78.Kukolj G, McGibbon GA, McKercher G, Marquis M, Lefebvre S, Thauvette L, Gauthier J, Goulet S, Poupart MA, Beaulieu PL. 2005. Binding site characterization and resistance to a class of non-nucleoside inhibitors of the hepatitis C virus NS5B polymerase. J. Biol. Chem. 280:39260–39267. 10.1074/jbc.M506407200 [DOI] [PubMed] [Google Scholar]
- 79.Tomei L, Altamura S, Bartholomew L, Biroccio A, Ceccacci A, Pacini L, Narjes F, Gennari N, Bisbocci M, Incitti I, Orsatti L, Harper S, Stansfield I, Rowley M, De Francesco R, Migliaccio G. 2003. Mechanism of action and antiviral activity of benzimidazole-based allosteric inhibitors of the hepatitis C virus RNA-dependent RNA polymerase. J. Virol. 77:13225–13231. 10.1128/JVI.77.24.13225-13231.2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Poordad F, Lawitz E, Kowdley KV, Cohen DE, Podsadecki T, Siggelkow S, Heckaman M, Larsen L, Menon R, Koev G, Tripathi R, Pilot-Matias T, Bernstein B. 2013. Exploratory study of oral combination antiviral therapy for hepatitis C. N. Engl. J. Med. 368:45–53. 10.1056/NEJMoa1208809 [DOI] [PubMed] [Google Scholar]
- 81.Le Pogam S, Jiang WR, Leveque V, Rajyaguru S, Ma H, Kang H, Jiang S, Singer M, Ali S, Klumpp K, Smith D, Symons J, Cammack N, Najera I. 2006. In vitro selected Con1 subgenomic replicons resistant to 2′-C-methyl-cytidine or to R1479 show lack of cross resistance. Virology 351:349–359. 10.1016/j.virol.2006.03.045 [DOI] [PubMed] [Google Scholar]
- 82.Dutartre H, Bussetta C, Boretto J, Canard B. 2006. General catalytic deficiency of hepatitis C virus RNA polymerase with an S282T mutation and mutually exclusive resistance towards 2′-modified nucleotide analogues. Antimicrob. Agents Chemother. 50:4161–4169. 10.1128/AAC.00433-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Ali S, Leveque V, Le Pogam S, Ma H, Philipp F, Inocencio N, Smith M, Alker A, Kang H, Najera I, Klumpp K, Symons J, Cammack N, Jiang WR. 2008. Selected replicon variants with low-level in vitro resistance to the hepatitis C virus NS5B polymerase inhibitor PSI-6130 lack cross-resistance with R1479. Antimicrob. Agents Chemother. 52:4356–4369. 10.1128/AAC.00444-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Migliaccio G, Tomassini JE, Carroll SS, Tomei L, Altamura S, Bhat B, Bartholomew L, Bosserman MR, Ceccacci A, Colwell LF, Cortese R, De Francesco R, Eldrup AB, Getty KL, Hou XS, Lafemina RL, Ludmerer SW, MacCoss M, McMasters DR, Stahlhut MW, Olsen DB, Hazuda DJ, Flores OA. 2003. Characterization of resistance to non-obligate chain-terminating ribonucleoside analogs that inhibit hepatitis C virus replication in vitro. J. Biol. Chem. 278:49164–49170. 10.1074/jbc.M305041200 [DOI] [PubMed] [Google Scholar]
- 85.Hedskog C, Gontcharova V, Han B, Martin R, Miller MD, Mo H, Svarovskaia ES. 2013. Evolution of the HCV viral population from one patient with S282T detected at relapse after sofosbuvir monotherapy. Antivir. Ther. 18(Suppl 1):A9. [DOI] [PubMed] [Google Scholar]
- 86.Gane EJ, Pockros P, Zeuzem S, Marcellin P, Shikhman A, Bernaards C, Yetzer ES, Shulman N, Tong X, Najera I, Bertasso A, Hammond J, Stancic S. 2012. Interferon-free treatment with a combination of mericitabine and danoprevir/r with or without ribavirin in treatment-naive HCV genotype 1-infected patients. J. Hepatol. 56(Suppl 2):S555–S556. 10.1016/S0168-8278(12)61423-8 [DOI] [Google Scholar]
- 87.Ribeiro RM, Li H, Wang S, Stoddard MB, Learn GH, Korber BT, Bhattacharya T, Guedj J, Parrish EH, Hahn BH, Shaw GM, Perelson AS. 2012. Quantifying the diversification of hepatitis C virus (HCV) during primary infection: estimates of the in vivo mutation rate. PLoS Pathog. 8:e1002881. 10.1371/journal.ppat.1002881 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Gaudieri S, Rauch A, Pfafferott K, Barnes E, Cheng W, McCaughan G, Shackel N, Jeffrey GP, Mollison L, Baker R, Furrer H, Gunthard HF, Freitas E, Humphreys I, Klenerman P, Mallal S, James I, Roberts S, Nolan D, Lucas M. 2009. Hepatitis C virus drug resistance and immune-driven adaptations: relevance to new antiviral therapy. Hepatology 49:1069–1082. 10.1002/hep.22773 [DOI] [PubMed] [Google Scholar]
- 89.Cento V, Landonio S, De Luca F, Di Maio VC, Micheli V, Mirabelli C, Niero F, Magni C, Rizzardini G, Perno CF, Ceccherini-Silberstein F. 2013. A boceprevir failure in a patient infected with HCV genotype 1g: importance and limitations of virus genotyping prior to HCV protease-inhibitor-based therapy. Antivir. Ther. 18:645–648. 10.3851/IMP2529 [DOI] [PubMed] [Google Scholar]




