Literature DB >> 30949527

Identification of 19 Novel Hepatitis C Virus Subtypes-Further Expanding HCV Classification.

Charlotte Hedskog1, Bandita Parhy1, Silvia Chang1, Stefan Zeuzem2, Christophe Moreno3, Stephen D Shafran4, Sergio M Borgia5, Tarik Asselah6, Laurent Alric7, Armand Abergel8, Jyh-Jou Chen9, Jane Collier10, Dharmesh Kapoor11, Robert H Hyland1, Peter Simmonds12, Hongmei Mo1, Evguenia S Svarovskaia1.   

Abstract

BACKGROUND: Hepatitis C virus (HCV) is currently classified into 8 genotypes and 86 subtypes. The objective of this study was to characterize novel HCV subtypes and to investigate the impact of subtypes on treatment outcome.
METHODS: Full-genome sequencing was performed on HCV plasma samples with <85% sequence homology of NS3, NS5A, and/or NS5B to HCV genotype (GT) 1-8 reference strains.
RESULTS: A total of 14 653 patients with GT1-6 HCV infection were enrolled in clinical studies of sofosbuvir-based regimens. For the majority of the patients, a specific subtype could be assigned based on a close genetic relationship to previously described subtypes. However, for 19 patients, novel subtypes were identified with <85% homology compared with previously described subtypes. These novel subtypes had the following genotypes: 9 in GT2, 5 in GT4, 2 in GT6, and 1 each in GT1, GT3, and GT5. Despite the presence of polymorphisms at resistance-associated substitution positions, 18 of the 19 patients treated with sofosbuvir-containing therapy achieved SVR12.
CONCLUSIONS: Nineteen novel HCV subtypes were identified, suggesting an even greater genetic diversity of HCV subtypes than previously recognized.

Entities:  

Keywords:  direct-acting antivirals (DAAs); phylogenetic analysis; resistance-associated substitutions (RAS); sofosbuvir; velpatasvir; voxilaprevir

Year:  2019        PMID: 30949527      PMCID: PMC6440686          DOI: 10.1093/ofid/ofz076

Source DB:  PubMed          Journal:  Open Forum Infect Dis        ISSN: 2328-8957            Impact factor:   3.835


Hepatitis C virus (HCV) has a high degree of genetic diversity, and the number of HCV genotypes and subtypes continues to increase. Until recently, HCV was classified into 7 distinct genotypes that differed by >30% at the nucleotide level [1]. A novel HCV genotype, genotype 8, was recently identified in 4 epidemiologically unlinked patients from the state of Punjab in India, which forms a distinct phylogenetic group from previously described sequences [2]. Genotypes are further divided into subtypes with a sequence divergence of >15% [3]. To date, 86 confirmed HCV subtypes have been described [4], with possibly even more genotypes and subtypes to be identified [5]. HCV genotypes 1, 2, and 3 are circulating worldwide, although with variable distribution in different geographical areas [6]. HCV genotype 1 is the most prevalent (46%) genotype globally. HCV subtypes 1a and 1b are predominant in North America, Europe, and Australia, whereas in Japan, 73% of HCV-infected individuals have subtype 1b infection. Genotype 3 is the second most prevalent (30%) genotype worldwide, primarily distributed in South Asia, and represents a disproportionately high distribution among people who inject drugs (PWIDs), regardless of geography. Infections with HCV genotype 4 are mainly found in Africa and the Middle East, and genotype 5 and genotype 6 are confined to Southern Africa and Southeast Asia, respectively [7]. Genotypes 1, 2, 3, 4, and 6 are comprised of multiple subtypes and display a high degree of genetic variability. In 2006, HCV genotype 7a was identified in a patient originating from the Democratic Republic of Congo. Subsequently, another patient from the same region was identified as being infected with genotype 7b [3, 8]. Genotype 5, as well as the recently described genotype 8, have 1 subtype each described to date. In recent years, tremendous efforts have been directed toward discovering and developing novel direct-acting antivirals (DAAs) to treat HCV infection [9-15]. Due to the high genetic diversity of HCV and its potential to adapt quickly to different environments, the goal has been the clinical development of DAAs that are safe and highly effective across all genotypes and subtypes. The pan-genotypic NS5B HCV inhibitor sofosbuvir (SOF), when used in combination with other agents, has demonstrated high efficacy in patients infected with genotypes 1–6 and has also been effective in all 6 patients with genotype 7 or 8 [2, 16, 17]. Recently, SOF in combination with the NS5A inhibitor velpatasvir (VEL) showed high rates of sustained virologic response (SVR) among both previously treated and untreated patients infected with HCV genotypes 1–6 [17-19], including those with compensated cirrhosis [18]. Furthermore, a fixed-dose combination of pangenotypic SOF/VEL and the protease inhibitor voxilaprevir (VOX) provided high rates of SVR among patients across HCV genotypes in whom treatment with a DAA regimen had previously failed [20]. Given the high genetic diversity of HCV both at the genotype and subtype levels, there is a need to characterize the novel subtypes and to understand the potential impact of novel subtypes on treatment outcome. More than 14 000 HCV-infected patients have been enrolled in global clinical studies of sofosbuvir-based regimens. Here, extensive analysis of viral diversity and sequence variation across genotypes was performed to identify uncharacterized subtypes and the effect on treatment outcome.

METHODS

Clinical Samples

All patients included in these analyses have provided informed consent in writing, and the study protocol conformed to the ethical guidelines of the 1975 Declaration of Helsinki (most recently updated in 2013), as reflected in a priori approval by the appropriate institutional review committee. All the patients received sofosbuvir-based regimens as part of Gilead global studies.

HCV Amplicon Amplification and Deep Sequencing

HCV RNA was determined at a central laboratory using the COBAS AmpliPrep/COBAS TaqMan HCV Quantitative Test, version 2.0 (Roche Molecular Diagnostics, Pleasanton, CA), with a lower limit of quantitation of 15 IU/mL. Amplification and sequencing of full-length NS3, NS5A, and NS5B were performed on plasma samples with HCV RNA ≥1000 IU/mL for all patients at baseline. For patients experiencing virologic failure, HCV amplicon amplification and sequencing were performed at the postbaseline time points as previously described [21]. Briefly, amplification and deep sequencing were performed by the DDL Diagnostic Laboratory (Rijswijk, the Netherlands) using the MiSeq deep sequencing platform (Illumina, San Diego, CA). Each gene was amplified using genotype-specific proprietary amplification primers and standard reverse transcription polymerase chain reaction technology. Library preparation, multiplexing, and deep sequencing were then performed. Illumina-based deep sequencing chemistry with paired ends was used with read lengths of 150 bases. Internally developed software was used to generate consensus sequences for each sample with inclusion of mixtures of amino acids, when present, between 15% and 85%. All aligned reads were then translated in-frame, and changes from a reference sequence were determined. Prevalence of resistance-associated subtitutions (RAS) was evaluated at 15% sequencing assay cutoffs.

Genotype Distribution Among Patients in Clinical Trials

HCV genotypes were determined using the VERSANT HCV Genotype 2.0 assay (LiPA) or the Abbott RealTime HCV Genotype II assay (Abbott, IL).

Subtyping and HCV Full-Genome Sequencing

For each patient sample, HCV subtyping was based on amplicon deep sequencing, described above. A subset of patients with <85% homology to previously described HCV subtypes or with different subtypes assigned across the multiple sequencing targets were subsequently sequenced by full–HCV genome sequencing. HCV RNA was isolated from 200 µL of plasma using the QIAamp MinElute Virus spin kit (Qiagen, Hilden, Germany), and full–HCV genome sequencing was performed at the DDL Diagnostic Laboratory (Rijswijk, the Netherlands) as previously described [22]. Briefly, RNA was reverse-transcribed and amplified using the Ovation RNA-Seq V2 system (NuGEN, San Carlos, CA). Double-stranded DNA was generated and amplified using single-primer isothermal linear amplification according to the the manufacturer’s protocol. Amplified products were fragmented using the Covaris system (Covaris, Inc., Woburn, MA), and paired-end libraries were created for each sample using Ovation Ultralow DR Multiplex Systems (NuGEN) following the manufacturer’s instructions. Internally developed software (Gilead Sciences) was used to process and align sequencing data. Assignment of HCV subtype was performed by BLAST analysis of NS3, NS5A, and/or NS5B deep sequencing to genotype 1–7 reference strains (86 subtypes and 7 genotypes).

Phylogenetic Analysis of HCV Full-Genome Sequences

Full-genome consensus sequences were aligned to HCV reference sets obtained from the International Committee on Taxonomy of Viruses website containing the complete genomes of all 86 confirmed HCV subtypes and previously described unassigned subtypes (https://talk.ictvonline.org/ictv_wikis/flaviviridae/w/sg_flavi/56/hcv-classification). Maximum likelihood phylogenetic trees were inferred using GARLi (version 2.0) software, which optimizes the substitution model iteratively [23]. Default parameters were used. The confidence of the branches was assessed by the approximate likelihood ratio test [24] using PhyML 3.0. [25]. Phylogenetic trees were visualized using FigTree (version 1.3.1).

Analysis of Subtype Recombinants

The generated full-genome sequences were analyzed by BootScan in SimPlot, version 3.5.1, using default settings (Step: 20 bp; GapString: On; Reps: 100: Kimura, 2-parameter; T/t: 2.0; Neighbor-Joining). Individual analysis was performed for each sample at the nucleotide level, using previously described confirmed and unassigned subtypes of the corresponding sample to identify possible recombination between subtypes.

Resistance-Associated Substitutions Definitions

RAS were defined as substitutions that confer reduced susceptibility to any approved DAA inhibitor with >2.5-fold change compared with a genotype 1a reference (HCV1a H77 NC AF009606; NS3 RAS: V36A/G/I/L/M/T, Q41R/H/K, F43L/S/V, T54A/C/G/S, V55A/I, Y56H, Q80K/L/R, S122D/N/R, R155any, A156any, D168any, and I170A/T/V; NS5A RAS: K24A/E/G/N/R, M28A/G/T/V, Q30any, L31I/F/M/V, P32L, S38F, H58D/L/N, A92K/P/T, and Y93any; NS5B NI RAS: L159F, E237G, S282any, L320F, and V321A).

Phenotypic Analysis and Drug Susceptibility Assay

Phenotypic analysis was performed on new subtypes of clinical isolates to investigate in vitro susceptibility to sofosbuvir, velpatasvir, and voxilaprevir as previously described [26, 27]. Briefly, a patient specimen-derived HCV NS3, NS5A, and NS5B coding sequence was inserted into a chimeric replicon vector. RNA was transcribed from the vector in vitro and was transfected by electroporation into Huh-7 cell lines. Transfected cells were cultured in 96-well microplates, and serially diluted sofosbuvir, velpatasvir, and voxilaprevir were then added to the cells. For all assays, relative light unit signals were obtained 4 and 96 hours after transfection. Seventy-two hours after compound addition, luciferase signal was measured using the Promega Renilla-GLO Luciferase Assay kit or the Promega Renilla Luciferase Assay kit according to the manufacturer’s instructions (Promega). Inhibitor susceptibility was determined by evaluating 3 replicates. Intra-assay and interassay variations were each approximately 2–3-fold.

RESULTS

HCV Genotype and Subtype Assignment of Patients Enrolled in HCV Clinical Trials

Across SOF-based clinical studies, 14 653 patients infected with HCV genotype 1–6 were enrolled. Determination of HCV subtype was performed at baseline for each patient using NS3, NS5A, and/or NS5B deep sequencing. For more than 99.5% of patients, the HCV subtype of the patient was closely related to 1 of the 86 subtypes currently confirmed for HCV. Of the patients included in the analysis, 8840, 1615, 3233, 692, 104, and 169 patients were classified at screening by commercial assays and/or amplicon sequencing as infected with HCV genotypes 1–6, respectively (Figure 1). However, in <0.5% of patients (54 of 14 653), the subtype showed <85% sequence homology to previously confirmed subtypes or discordant subtyping results across multiple targets. To determine the HCV subtype for these patients, full–HCV genome sequencing was performed on available baseline plasma samples (42 of 54 patients) (Table 1, Figure 1).
Figure 1.

Overview of hepatitis C virus (HCV) genotype and subtype assignment of patients enrolled in HCV clinical trials. Abbreviation: GT, genotype.

Table 1.

Genotyping Results Using Different Assays

PatientSubtype by Lipa/ Trugene or Abbott RT-PCR AssayAmplicon Deep SequencingFull-Genome Sequencing
NS3NS5ANS5BSubtypeNt Homology, %
ntH omology, %aaHomology, %ntHomology, %aaHomology, %ntHomology, %aaHomology, %
12a/2cNDNANDNA2j792i842e862d92Novel GT2 subtype82 (2c, 2r, 2d, 2)
22a/2cNDNANDNA2d792j852e862k91Novel GT2 subtype82 (2)
32NDNANDNA2e822j862e882e94Novel GT2 subtype85 (2)
422a822c922q782j802e832d89Novel GT2 subtype82 (2)
52a/2c2q862c962q812k862k882k93Novel GT2 subtype84 (2k, 2q)
62a/2c2a812c942a792a832a862a92Novel GT2 subtype82 (2a, 2)
72b/2j2i752j87No hit02i772r802r86Novel GT2 subtype83 (2l)
82l2e752i89No hit02b752r792r85Novel GT2 subtype81 (2l)
92NDNANDNA2d802e852k862d92Novel GT2 subtype83 (2c, 2q)
1044a834a944v794v854l874l92Novel GT4 subtype82 (4v, 4l)
114a/4c4a884a974a864a924c914c96Novel GT4 subtype86 (4a, 4)
124l/4t4t834t944a794t854p874l93Novel GT4 subtype84 (4p)
134m/4v4o824v954v794a854l864m93Novel GT4 subtype82 (4v, 4q, 4l, 4)
144a/4c4c84NDND4v81NDNDNDND4a89Novel GT4 subtype84 (4)
156c/6q6d786c946p756q876q866q92Novel GT6 subtype84 (6q)
161bNDNDNDND6w726g84No hit06g88Novel GT6 subtype80 (6q)
171b1a791h911c781c841c861c92Novel GT1 subtype81 (1c, 1)
183fNANANANA3i793g873i873i94Novel GT3 subtype82 (3i)
195aNANANANA1b745a844v715a85Novel GT5 subtype78 (5a)

Homology, in percentage, was calculated by BLASTN analysis for NS3, NS5A, and NS5B. The subtype with the highest match is shown. BLASTN was performed on the sequences generated by full–HCV genome sequencing; the query nucleotide length was 6567 for GT2, 9334 for GT3, 6576 for GT4, 4098 for GT6, 7270 for GT1, and 4095 for GT5.

Abbreviations: aa, amino acid; GT, genotype; HCV, hepatitis C virus; nt, nucleotide; RT-PCR, reverse transcriptase polymerase chain reaction.

Genotyping Results Using Different Assays Homology, in percentage, was calculated by BLASTN analysis for NS3, NS5A, and NS5B. The subtype with the highest match is shown. BLASTN was performed on the sequences generated by full–HCV genome sequencing; the query nucleotide length was 6567 for GT2, 9334 for GT3, 6576 for GT4, 4098 for GT6, 7270 for GT1, and 4095 for GT5. Abbreviations: aa, amino acid; GT, genotype; HCV, hepatitis C virus; nt, nucleotide; RT-PCR, reverse transcriptase polymerase chain reaction. Overview of hepatitis C virus (HCV) genotype and subtype assignment of patients enrolled in HCV clinical trials. Abbreviation: GT, genotype.

Identification of Novel HCV Subtypes by Phylogenetic Analysis

Of the 42 patients who underwent sequencing of the complete HCV genome and phylogenetic analysis, 14 patients were assigned to known HCV subtypes, 4 patients had multiple strains or recombinant infection, sequencing was unsuccessful for 5 patients, and novel subtypes were identified for the remaining 19 patients. Of the 19 patients with novel subtypes, 9 patients were classified as having a novel subtype within genotype 2, 5 patients with novel genotype 4 subtypes, 2 patients with novel genotype 6 subtypes, and 1 each for genotypes 1, 3, and 5 (Figure 1). These novel subtypes showed an absence of recombination break-point using SimPlot analysis (data not shown). For genotype 2, the identified subtypes were distinct from the 15 confirmed and 8 unassigned subtypes previously described for genotype 2 (Figure 2). The sequence of 1 of the 9 patients was shorter, and a separate phylogenetic tree generated consistent results (data not shown). Compared with genotype 2, genotype 4 has a higher genetic diversity, with 18 confirmed and 10 unassigned subtypes. Five patients with novel genotype 4 subtypes were identified, which were phylogenetically distinct from each other and from previously confirmed and unassigned genotype 4 subtypes (Figure 2). One patient with a novel genotype 1 subtype was identified, which was phylogenetically distinct from the 13 confirmed and 7 unassigned genotype 1 subtypes previously described (Figure 3). In addition to the novel genotype 1 subtype, 1 patient with novel genotype 3 subtype was identified, which was phylogenetically distinct from the 8 confirmed subtypes and 1 unassigned subtype previously described (Figure 3). Furthermore, 1 patient with novel genotype 5 subtype was identified. This subtype was distinct from 5a, which is the only subtype confirmed for genotype 5 (Figure 3). In contrast to genotype 5, genotype 6 is the most diverse of all HCV genotypes, with 29 confirmed and 21 unassigned subtypes. Two patients with novel genotype 6 subtypes were identified, which were phylogenetically distinct from each other and from previously confirmed and unassigned genotype 6 subtypes (Figure 3).
Figure 2.

Phylogenetic analysis of genotype 2 and genotype 4 subtypes. Individual maximum likelihood trees were inferred for each genotype, including all previously described confirmed and unassigned subtypes. Previously described subtypes are shown in black, with a corresponding letter for the confirmed subtypes and no letter for the unassigned subtypes. The novel subtypes are shown in red. For genotype 2, 15 confirmed and 8 unassigned subtypes previously described were included. For genotype 4, the 18 confirmed and 10 unassigned subtypes were included in the tree.

Figure 3.

Phylogenetic analysis of genotype 1, 3, 5, and 6 subtypes. Individual maximum likelihood trees were inferred for each genotype, including all previously described confirmed and unassigned subtypes. Previously described subtypes are shown in black, with a corresponding letter for the confirmed subtypes and no letter for the unassigned subtypes. The novel subtypes are shown in red. For GT1, the 13 confirmed and 7 unassigned subtypes previously described were included. For GT3, the 1 unassigned and 8 confirmed subtypes previously described were included. For GT5, the single confirmed subtype was included. For GT6, the 29 confirmed and 21 unassigned subtypes were included in the tree.

Phylogenetic analysis of genotype 2 and genotype 4 subtypes. Individual maximum likelihood trees were inferred for each genotype, including all previously described confirmed and unassigned subtypes. Previously described subtypes are shown in black, with a corresponding letter for the confirmed subtypes and no letter for the unassigned subtypes. The novel subtypes are shown in red. For genotype 2, 15 confirmed and 8 unassigned subtypes previously described were included. For genotype 4, the 18 confirmed and 10 unassigned subtypes were included in the tree. Phylogenetic analysis of genotype 1, 3, 5, and 6 subtypes. Individual maximum likelihood trees were inferred for each genotype, including all previously described confirmed and unassigned subtypes. Previously described subtypes are shown in black, with a corresponding letter for the confirmed subtypes and no letter for the unassigned subtypes. The novel subtypes are shown in red. For GT1, the 13 confirmed and 7 unassigned subtypes previously described were included. For GT3, the 1 unassigned and 8 confirmed subtypes previously described were included. For GT5, the single confirmed subtype was included. For GT6, the 29 confirmed and 21 unassigned subtypes were included in the tree.

Characteristics and Demographics of Patients With Novel HCV Subtypes

Of the 19 patients infected with novel HCV subtypes, 12 patients were enrolled in France (Table 2). Of the remaining 7 patients, 2 patients each were enrolled in Great Britain and the United States, 1 patient was enrolled in each of Canada, India, and Taiwan. The overrepresentation of patients from France was particularly apparent for patients with novel genotype 2 and genotype 4 subtypes, where 6 of 9 patients and 4 of 5 patients, respectively, were from France. Of the patients from France with novel genotype 2 subtypes, the majority were black (4 of 6). There was a difference in gender between the subtypes, as the majority of patients with novel genotype 2 subtypes were male (6 of 9), but for the other novel subtypes, the majority were female (8 of 10).
Table 2.

Characterization of Patients With Novel HCV Subtypes

PatientCountry/Age/ Gender/RacePrior Treatment ExperienceCirrhosisViral Load, IU/mLSubtype by Full-Genome SequencingTreatmentSVR
1GBR/37/M/BL/NHTNNo9 560 000Novel GT2 subtypeSOF/VEL 12 wkYes
2FRA/50/M/BL/NHTNNo4 320 000Novel GT2 subtypeSOF/VEL 12 wkYes
3FRA/69/M/WH/NHTE (PEG-IFN+RBV)No5 440 000Novel GT2 subtypeSOF/VEL 12 wkYes
4FRA/59/F/BL/NHTNNo3 870 000Novel GT2 subtypeSOF/VEL 12 wkYes
5FRA/72/M/BL/NHTE (PEG-IFN+RBV)No26 200 000Novel GT2 subtypeSOF/VEL 12 wkYes
6USA/75/F/WH/HTNNo1 590 000Novel GT2 subtypeSOF/VEL 12 wkYes
7FRA/72/M/WH/NHUnknownYes2 920 000Novel GT2 subtypeSOF/VEL/VOX 12 wkYes
8USA/73/F/WH/NHTNNo325 000Novel GT2 subtypeSOF/VEL/VOX 8 wkYes
9FRA/62/M/BL/NHTE (PEG-IFN+RBV)No514 000Novel GT2 subtypeSOF/VEL 12 wkYes
10FRA/42/F/BL/NHTNNo137 000Novel GT4 subtypeSOF/VEL 12 wkYes
11CAN/43/F/BL/NHTNNo119 000Novel GT4 subtypeSOF/VEL/VOX 8 wkYes
12FRA/66/M/WH/NHTNNo4 130 000Novel GT4 subtypeSOF/VEL 12 wkYes
13FRA/64/F/BL/NHTE (PEG-IFN+RBV)No1 590 000Novel GT4 subtypeSOF/VEL 12 wkYes
14FRA/62/F/AS/NHTNNo1 110 000Novel GT4 subtypeSOF/VEL 12 wkYes
15FRA/60/F/AS/NHTE (PEG-IFN+RBV)No17 100 000Novel GT6 subtypeSOF/VEL/VOX 8 wkYes
16TWN/62/F/AS/NHUnknownNo3 060 000Novel GT6 subtypeLDV/SOF 12 wkYes
17GBR/58/M/BL/NHTE (PEG-IFN+RBV)Yes584 000Novel GT1 subtypeSOF/VEL 12 wkNo
18IND/39/M/AS/NDTNNo2 200 000Novel GT3 subtypeSOF+RBV 24 wkYes
19FRA/58/F/WH/NHTE (LDV/SOF)No222 000Novel GT5 subtypeSOF/VEL/VOX 12 wkYes

Abbreviations: AS, Asian; BL, black; CAN, Canada; F, female; FRA, France; GBR, Great Britain; H, Hispanic; IND, India; LDV, ledipasvir; M, male; NH, non-Hispanic; PEG-IFN+RBV, pegylated interferon with ribavirin; RBV, ribavirin; SOF, sofosbuvir; SVR, sustained virologic response; TE, treatment experienced; TN, treatment naïve; TWN, Taiwan; VEL, velpatasvir; VOX, voxilaprevir; WH, white.

Characterization of Patients With Novel HCV Subtypes Abbreviations: AS, Asian; BL, black; CAN, Canada; F, female; FRA, France; GBR, Great Britain; H, Hispanic; IND, India; LDV, ledipasvir; M, male; NH, non-Hispanic; PEG-IFN+RBV, pegylated interferon with ribavirin; RBV, ribavirin; SOF, sofosbuvir; SVR, sustained virologic response; TE, treatment experienced; TN, treatment naïve; TWN, Taiwan; VEL, velpatasvir; VOX, voxilaprevir; WH, white.

Resistance Analysis of Isolates From Patients With Novel HCV Subtypes

Baseline RAS in NS3, NS5A, and/or NS5B were observed in all but 1 of the novel subtypes. For the 9 patients with novel genotype 2 subtypes, none had NS3 RAS at baseline. For NS5A, T24S was observed at baseline in all patients as a single RAS or in combination with other substitutions: L31M, F28C, L31V, or C92T. For NS5B, M289L was observed in 2 patients (Table 3). The impact on SOF, VEL, and VOX susceptibility to the novel subtypes at baseline was assessed by phenotypic analysis of patient isolates. None of the novel genotype 2 subtypes showed any reduced susceptibility to VOX, with <2-fold EC50 change compared with susceptible wild-type (WT) virus. In 8 of the 9 patient isolates tested, no reduced susceptibility to VEL was observed. One patient isolate with T24S and L31M exhibited a 22-fold increased EC50 to VEL. None of the patient isolates replicated with NS5B in genotype 1b backbone (Table 3).
Table 3.

Phenotypic Analyses of Patient Isolates

PatientVirology SubtypeRAS in Patient IsolatesVOX EC50 FC From WTVEL EC50 FC From WTSOF EC50 FC From WT
NS3NS5ANS5B
1Novel GT2NDT24SNone0.581.2NR
2Novel GT2NDT24S L31MNone0.661.2NR
3Novel GT2NDT24S L31MNoneND22.5NR
4Novel GT2NoneT24S F28CNone1.093.7NR
5Novel GT2NoneT24S L31MNone1.370.125NR
6Novel GT2NoneF28V L31VM289L0.293.7NR
7Novel GT2NoneT24S L31MM289L1.430.62NR
8Novel GT2NoneT24S L31M C92TNoneNo dataNDND
9Novel GT2NAT24S L31MNoneFailedFailedNR
10Novel GT4NoneL30RNone1.42NRNR
11Novel GT4NoneL30RNone0.362NR
12Novel GT4NoneL30RE237G12NR
13Novel GT4NoneL28V L30HNone1.251NR
14Novel GT4NoneL30RNoneNDNDND
15Novel GT6NoneF28MM289L1.273.33NR
16Novel GT6NDNoneNoneND0.67NR
17Novel GT1I170VQ30R L31MNoneND1.61
18Novel GT3NDA30KNoneNDNDND
19Novel GT5No FG coverage in NS3Q30S L31M T93SNoneND340ND

Abbreviations: FC, fold change; FG, full genome sequencing; GT, genotype; NA, not applicable due to low sequence coverage; ND, not done due to sample unavailability; NR, no replication; RAS, resistance-associated substitutions; SOF, sofosbuvir; VEL, velpatasvir; VOX, voxilaprevir; WT, wild-type.

Phenotypic Analyses of Patient Isolates Abbreviations: FC, fold change; FG, full genome sequencing; GT, genotype; NA, not applicable due to low sequence coverage; ND, not done due to sample unavailability; NR, no replication; RAS, resistance-associated substitutions; SOF, sofosbuvir; VEL, velpatasvir; VOX, voxilaprevir; WT, wild-type. None of the genotype 4 patients had NS3 RAS at baseline. For NS5A, L30R was observed in 3 patients and L30R/H was observed in 1 patient at baseline. For NS5B, E237G was observed in 1 patient. None of the patient isolates exhibited reduced susceptibility to VOX or VEL with <2-fold EC50 change compared with WT. None of the patient isolates with NS5B replicated in genotype 1b backbone (Table 3). For the genotype 1 patient, I170V in NS3 and Q30R and L31M in NS5A were observed at baseline. No RAS were observed in NS5B. There was no reduced susceptibility observed to VEL or SOF in this patient isolate (Table 3). For 1 genotype 3 patient, A30K in NS5A was observed at baseline. No RAS were observed in NS5B. The genotype 5 patient had A30K in NS5A at baseline, and no RAS were observed in NS5B. One genotype 6 patient had F28M in NS5A and M289L in NS5B at baseline. None of the genotype 6 patients had NS3 RAS at baseline. One patient had F28M in NS5A and M289L in NS5B at baseline.

Treatment Outcome for Patients Infected With Novel Subtypes

Overall, across patients with genotype 1–6 infection, 19 patients were identified with novel HCV subtypes. Prior treatment information was available for 17 of 19 patients; 10 were treatment naïve, and 7 were treatment experienced. For the patients with prior treatment experience, 6 had received prior pegylated interferon with ribavirin (PEG-IFN+RBV) treatment and 1 had received prior ledipasvir (LDV)/SOF treatment (Table 2). Following an SOF-containing regimen, 18 of 19 (95%) patients with novel subtypes achieved SVR. The GT5 patient with prior LDV/SOF treatment failure was re-treated with SOF/VEL/VOX for 12 weeks and achieved SVR. The only patient who did not achieve SVR was the patient with a novel genotype 1 subtype who had cirrhosis and received SOF/VEL for 12 weeks. This patient had previously failed PEG-IFN+RBV treatment. Of note, the 5 patient isolates exhibiting a >2-fold increase in VEL EC50 achieved SVR with SOF/VEL or SOF/VEL/VOX treatment (Table 3).

DISCUSSION

Hepatitis C virus is a leading cause of chronic liver disease throughout the world [28]. HCV has a high degree of genetic diversity, and the number of recognized HCV genotypes and subtypes continues to increase [8, 29]. Genotype and subtype information is important for the understanding of the epidemiology of HCV and during the clinical development process to determine the breadth of activity for a given DAA and their combinations, which until recently has been limited to certain genotypes and/or prior treatment exposures. In this study, we identified 19 novel subtypes by analyzing >14 000 HCV-infected patients enrolled in clinical studies of SOF-containing regimens. Interestingly, novel subtypes were identified among all of the most common genotypes (1–6): 9 in genotype 2, 5 in genotype 4, 2 in genotype 6, and 1 each in genotypes 1, 3, and 5. Prior treatment experience information was available for 17 of the patients; 10 were treatment naïve, and 7 had prior treatment experience. The majority of the patients identified with novel HCV subtypes were enrolled in France; notably, those patients with novel genotype 2 subtypes from France were mainly black men. This probably reflects the fact that there is an important population diversity in France due to migration from the begining of the 20th century. In general, a high prevalence of genotype 2 has been described in West Africa [30], and genotype 4 predominates in Central Sub-Saharan Africa and Southeast Asia [6]. However, for both genotype 2 and genotype 4 in these regions, information on the prevalence of specific subtypes is unknown, and it is possible that even more diverse subtypes are prevalent in these regions. The selection of HCV treatment regimens for patients in these regions requires the consideration of the high diversity and potential resistance variants that may impact some regimens. The patterns of diversity and novel subtypes described in this study may be the consequence of human population mobility, recent spread into new risk groups, or immigration from a potentially much older endemic circulation of HCV in Sub-Saharan Africa and Southeast Asia to Europe. Further investigation is needed to investigate the prevalence of these novel subtypes or potentially even additional subtypes in different geographic regions. Of note, in this study, we identified 54 patients with <85% sequence homology to confirmed subtypes or discordant subtyping results across multiple targets. Of these patients, full-genome sequencing revealed that 14 patient sequences were assigned to previously confirmed HCV subtypes (ie, not novel subtypes). This suggests that partial sequencing information (eg, sequencing of NS3, NS5A, and/or NS5B) is not always sufficient to accurately assign a subtype to the sample, and additional sequence investigation may be required in the event of a viral relapse after DAA therapy. Resistance analysis was performed to characterize the novel subtypes and the potential effect on treatment outcome. Overall, baseline RAS in NS3, NS5A, and/or NS5B were observed in all but 1 of the novel subtypes. For the majority of the patient isolates, no reduced susceptibility was observed to either VEL or VOX. For the NS5B isolates, the novel subtypes supported weak replication in genotype 1b backbone, and susceptibility to SOF could not be assessed. Despite the presence of RAS at baseline in these patients, 18 of 19 (95%) patients achieved SVR following an SOF-containing regimen, suggesting that SOF-containing regimens are effective against these novel subtypes. The response of these novel subtypes to other HCV regimens has not been previously described. There are now abundant clinical effectiveness data with SOF/VEL across these many genotypes and subtypes, which suggests that baseline genotyping is unnecessary, especially in resource-limited settings, and that a test-and-treat strategy based solely on the identification of active viral replication through HCV core antigen or dried blood spot technology may be sufficient to initiate therapy and monitor response. Taken together, across Gilead clinical studies, 19 novel HCV subtypes were identified, suggesting an even greater genetic diversity of HCV subtypes than previously recognized. Of these patients, 95% achieved SVR following an SOF-containing regimen.
  23 in total

1.  Genotype and subtype profiling of PSI-7977 as a nucleotide inhibitor of hepatitis C virus.

Authors:  Angela M Lam; Christine Espiritu; Shalini Bansal; Holly M Micolochick Steuer; Congrong Niu; Veronique Zennou; Meg Keilman; Yuao Zhu; Shuiyun Lan; Michael J Otto; Phillip A Furman
Journal:  Antimicrob Agents Chemother       Date:  2012-03-19       Impact factor: 5.191

2.  New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.

Authors:  Stéphane Guindon; Jean-François Dufayard; Vincent Lefort; Maria Anisimova; Wim Hordijk; Olivier Gascuel
Journal:  Syst Biol       Date:  2010-03-29       Impact factor: 15.683

3.  Hepatitis C virus nucleotide inhibitors PSI-352938 and PSI-353661 exhibit a novel mechanism of resistance requiring multiple mutations within replicon RNA.

Authors:  Angela M Lam; Christine Espiritu; Shalini Bansal; Holly M Micolochick Steuer; Veronique Zennou; Michael J Otto; Phillip A Furman
Journal:  J Virol       Date:  2011-09-28       Impact factor: 5.103

4.  Approximate likelihood-ratio test for branches: A fast, accurate, and powerful alternative.

Authors:  Maria Anisimova; Olivier Gascuel
Journal:  Syst Biol       Date:  2006-08       Impact factor: 15.683

5.  Potency, safety, and pharmacokinetics of the NS3/4A protease inhibitor BI201335 in patients with chronic HCV genotype-1 infection.

Authors:  Michael P Manns; Marc Bourlière; Yves Benhamou; Stanislas Pol; Maurizio Bonacini; Christian Trepo; David Wright; Thomas Berg; José L Calleja; Peter W White; Jerry O Stern; Gerhard Steinmann; Chan-Loi Yong; George Kukolj; Joe Scherer; Wulf O Boecher
Journal:  J Hepatol       Date:  2010-11-11       Impact factor: 25.083

Review 6.  Global epidemiology of hepatitis C virus infection.

Authors:  Colin W Shepard; Lyn Finelli; Miriam J Alter
Journal:  Lancet Infect Dis       Date:  2005-09       Impact factor: 25.071

7.  Novel hepatitis C virus reporter replicon cell lines enable efficient antiviral screening against genotype 1a.

Authors:  Margaret Robinson; Huiling Yang; Siu-Chi Sun; Betty Peng; Yang Tian; Nikos Pagratis; Andrew E Greenstein; William E Delaney
Journal:  Antimicrob Agents Chemother       Date:  2010-06-01       Impact factor: 5.191

8.  PSI-7851, a pronucleotide of beta-D-2'-deoxy-2'-fluoro-2'-C-methyluridine monophosphate, is a potent and pan-genotype inhibitor of hepatitis C virus replication.

Authors:  Angela M Lam; Eisuke Murakami; Christine Espiritu; Holly M Micolochick Steuer; Congrong Niu; Meg Keilman; Haiying Bao; Veronique Zennou; Nigel Bourne; Justin G Julander; John D Morrey; Donald F Smee; David N Frick; Julie A Heck; Peiyuan Wang; Dhanapalan Nagarathnam; Bruce S Ross; Michael J Sofia; Michael J Otto; Phillip A Furman
Journal:  Antimicrob Agents Chemother       Date:  2010-06-01       Impact factor: 5.191

9.  Mechanistic characterization of GS-9190 (Tegobuvir), a novel nonnucleoside inhibitor of hepatitis C virus NS5B polymerase.

Authors:  I-Hung Shih; Inge Vliegen; Betty Peng; Huiling Yang; Christy Hebner; Jan Paeshuyse; Gerhard Pürstinger; Martijn Fenaux; Yang Tian; Eric Mabery; Xiaoping Qi; Gina Bahador; Matthew Paulson; Laura S Lehman; Steven Bondy; Winston Tse; Hans Reiser; William A Lee; Uli Schmitz; Johan Neyts; Weidong Zhong
Journal:  Antimicrob Agents Chemother       Date:  2011-07-11       Impact factor: 5.191

Review 10.  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.

Authors:  Raffaele De Francesco; Andrea Carfí
Journal:  Adv Drug Deliv Rev       Date:  2007-08-11       Impact factor: 15.470

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  24 in total

1.  Synergistic lethal mutagenesis of hepatitis C virus.

Authors:  Isabel Gallego; María Eugenia Soria; Josep Gregori; Ana I de Ávila; Carlos García-Crespo; Elena Moreno; Ignacio Gadea; Jaime Esteban; Ricardo Fernández-Roblas; Juan Ignacio Esteban; Jordi Gómez; Josep Quer; Esteban Domingo; Celia Perales
Journal:  Antimicrob Agents Chemother       Date:  2019-09-30       Impact factor: 5.191

2.  Distribution of naturally -occurring NS5B resistance-associated substitutions in Egyptian patients with chronic Hepatitis C.

Authors:  Hala Rady Ahmed; Nancy G F M Waly; Rehab Mahmoud Abd El-Baky; Ramadan Yahia; Helal F Hetta; Amr M Elsayed; Reham Ali Ibrahem
Journal:  PLoS One       Date:  2021-04-15       Impact factor: 3.240

Review 3.  HCV Replicon Systems: Workhorses of Drug Discovery and Resistance.

Authors:  Shaheen Khan; Shalini Soni; Naga Suresh Veerapu
Journal:  Front Cell Infect Microbiol       Date:  2020-06-30       Impact factor: 5.293

4.  NS5A Gene Analysis by Next Generation Sequencing in HCV Nosocomial Transmission Clusters of HCV Genotype 1b Infected Patients.

Authors:  Maria Concetta Bellocchi; Marianna Aragri; Luca Carioti; Lavinia Fabeni; Rosaria Maria Pipitone; Giuseppina Brancaccio; Maria Chiara Sorbo; Silvia Barbaliscia; Velia Chiara Di Maio; Fabrizio Bronte; Stefania Grimaudo; Walter Mazzucco; Ferdinando Frigeri; Marco Cantone; Antonio Pinto; Carlo Federico Perno; Antonio Craxì; Giovanni Battista Gaeta; Vito Di Marco; Francesca Ceccherini-Silberstein
Journal:  Cells       Date:  2019-07-02       Impact factor: 6.600

Review 5.  Mode and tempo of human hepatitis virus evolution.

Authors:  Rachele Cagliani; Diego Forni; Manuela Sironi
Journal:  Comput Struct Biotechnol J       Date:  2019-10-25       Impact factor: 7.271

6.  Diverse HCV Strains And HIV URFS Identified Amongst People Who Inject Drugs In India.

Authors:  Mary A Rodgers; Selvamurthi Gomathi; Ana Vallari; Shanmugam Saravanan; Gregory M Lucas; Shruti Mehta; Sunil S Solomon; Gavin A Cloherty
Journal:  Sci Rep       Date:  2020-04-29       Impact factor: 4.379

7.  Virological surveillance, molecular phylogeny, and evolutionary dynamics of hepatitis C virus subtypes 1a and 4a isolates in patients from Saudi Arabia.

Authors:  Waleed H AlMalki; Imran Shahid; Ashraf N Abdalla; Ayman K Johargy; Muhammad Ahmed; Sajida Hassan
Journal:  Saudi J Biol Sci       Date:  2020-12-08       Impact factor: 4.219

Review 8.  Hepatitis C Virus Epitope Immunodominance and B Cell Repertoire Diversity.

Authors:  Nicholas A Brasher; Anurag Adhikari; Andrew R Lloyd; Nicodemus Tedla; Rowena A Bull
Journal:  Viruses       Date:  2021-05-25       Impact factor: 5.048

Review 9.  Danoprevir for the Treatment of Hepatitis C Virus Infection: Design, Development, and Place in Therapy.

Authors:  Miao Miao; Xixi Jing; Erik De Clercq; Guangdi Li
Journal:  Drug Des Devel Ther       Date:  2020-07-14       Impact factor: 4.162

10.  Gene Expression Profiling of Different Huh7 Variants Reveals Novel Hepatitis C Virus Host Factors.

Authors:  Christopher Dächert; Evgeny Gladilin; Marco Binder
Journal:  Viruses       Date:  2019-12-28       Impact factor: 5.048

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