Early dynamic changes of quasispecies in the reverse transcriptase region of hepatitis B virus in telbivudine treatment.

BACKGROUND: Telbivudine (LdT) - a synthetic thymidine ß-L-nucleoside analogue (NA) - is an effective inhibitor for hepatitis B virus (HBV) replication. The quasispecies spectra in the reverse transcriptase (RT) region of the HBV genome and their dynamic changes associated with LdT treatment remains largely unknown. METHODS: We prospectively recruited a total of 21 treatment-naive patients with chronic HBV infection and collected sequential serum samples at five time points (baseline, weeks 1, 3, 12, and 24 after LdT treatment). The HBV RT region was amplified and shotgun-sequenced by the Ion Torrent Personal Genome Machine (PGM)® system. We reconstructed full-length haplotypes of the RT region using an integrated bioinformatics framework, including de novo contig assembly and full-length haplotype reconstruction. In addition, we investigated the quasispecies' dynamic changes and evolution history and characterized potential NAs resistant mutations over the treatment course. RESULTS: Viral quasispecies differed obviously between patients with complete (n = 8) and incomplete/no response (n = 13) at 12 weeks after LdT treatment. A reduced dN/dS ratio in quasispecies demonstrated a selective constraint resulting from antiviral therapy. The temporal clustering of sequential quasispecies showed different patterns along with a 24-week observation, although its statistic did not differ significantly. Several patients harboring pre-existing resistant mutations showed different clinical responses, while NAs resistant mutations were rare within a short-term treatment. CONCLUSION: A complete profile of quasispecies reconstructed from in-depth shotgun sequencing may has important implications for enhancing clinical decision in adjusting antiviral therapy timely.

Increased acquired protease inhibitor drug resistance mutations in minor HIV-1 quasispecies from infected patients suspected of failing on national second-line therapy in South Africa.

BACKGROUND: HIV-1C has been shown to have a greater risk of virological failure and reduced susceptibility towards boosted protease inhibitors (bPIs), a component of second-line combination antiretroviral therapy (cART) in South Africa. This study entailed an evaluation of HIV-1 drug resistance-associated mutations (RAMs) among minor viral populations through high-throughput sequencing genotypic resistance testing (HTS-GRT) in patients on the South African national second-line cART regimen receiving bPIs. METHODS: During 2017 and 2018, 67 patient samples were sequenced using high-throughput sequencing (HTS), of which 56 samples were included in the final analysis because the patient's treatment regimen was available at the time of sampling. All patients were receiving bPIs as part of their cART. Viral RNA was extracted, and complete pol genes were amplified and sequenced using Illumina HiSeq2500, followed by bioinformatics analysis to quantify the RAMs according to the Stanford HIV Drug Resistance Database. RESULTS: Statistically significantly higher PI RAMs were observed in minor viral quasispecies (25%; 14/56) compared to non-nucleoside reverse transcriptase inhibitors (9%; 5/56; p = 0.042) and integrase inhibitor RAM (4%; 2/56; p = 0.002). The majority of the drug resistance mutations in the minor viral quasispecies were observed in the V82A mutation (n = 13) in protease and K65R (n = 5), K103N (n = 7) and M184V (n = 5) in reverse transcriptase. CONCLUSIONS: HTS-GRT improved the identification of PI and reverse transcriptase inhibitor (RTI) RAMs in second-line cART patients from South Africa compared to the conventional GRT with ≥20% used in Sanger-based sequencing. Several RTI RAMs, such as K65R, M184V or K103N and PI RAM V82A, were identified in < 20% of the population. Deep sequencing could be of greater value in detecting acquired resistance mutations early.

Quasispecies dynamics and clinical significance of hepatitis C virus (HCV) antiviral resistance.

Hepatitis C virus (HCV) follows quasispecies dynamics in infected hosts and this influences its biology, how the virus diversifies into several genotypes and many subtypes, and how viral populations respond to antiviral therapies. Despite current antiviral combinations being able to cure a great percentage of HCV-infected patients, the presence of resistance-associated substitutions (RASs) diminishes the success of antiviral therapies, which is a main concern in the re-treatment of patients treated with direct-acting antiviral agents. Current methodologies such as ultra deep sequencing are ideal tools to obtain a detailed representation of the mutant spectrum composition circulating in infected patients. Such knowledge should allow optimisation of rescue treatments. A new mechanism of antiviral resistance not based on the selection of RASs but on high viral fitness is discussed.

Association of characteristics of HBV quasispecies with hepatitis B surface antigen seroconversion after pegylated interferon-α-2a treatment in child patients.

BACKGROUND: The correlation between hepatitis B surface antigen (HBsAg) seroconversion and the characteristics of HBV quasispecies (QS) before and during pegylated interferon-α-2a (PEG-IFN-α-2a) treatment in hepatitis B e antigen (HBeAg)-positive chronic hepatitis B (CHB) children has not yet been reported. METHODS: 35 patients, including 18 HBsAg seroconverters (SS) and 17 non-seroconverters (SN), were enrolled. Serum samples were collected before treatment and at weeks 12 and 24 of treatment. Sequences within the basal core promoter/pre-core (BCP/PC) and S/reverse transcriptase (S/RT) region were analysed by next-generation sequencing. RESULTS: There was no significant difference in the baseline diversity of HBV QS (Shannon entropy [Sn]; Hamming distance [HD]) in either region between the two groups. The baseline mutations A1762T/G1764A, C1913A, and T2003A/G or C2004T were correlated with non-response to therapy (P=0.025, P=0.036, P=0.032, respectively). After 24 weeks of therapy, HBV diversity within the BCP/PC region in the SS group notably declined (Sn: P=0.002; HD: P=0.011), while that of the SN group was nearly unchanged. As for the S/RT region, 24 weeks of treatment made no significant difference on QS diversity in either group. CONCLUSIONS: Our data demonstrated that the baseline viral mutations and dynamic changes in HBV QS diversity within the BCP/PC region were closely related to HBsAg seroconversion in HBeAg-positive CHB children treated with PEG-IFN-α-2a.

RNA Virus Evolution via a Quasispecies-Based Model Reveals a Drug Target with a High Barrier to Resistance.

The rapid occurrence of therapy-resistant mutant strains provides a challenge for anti-viral therapy. An ideal drug target would be a highly conserved molecular feature in the viral life cycle, such as the packaging signals in the genomes of RNA viruses that encode an instruction manual for their efficient assembly. The ubiquity of this assembly code in RNA viruses, including major human pathogens, suggests that it confers selective advantages. However, their impact on viral evolution cannot be assessed in current models of viral infection that lack molecular details of virus assembly. We introduce here a quasispecies-based model of a viral infection that incorporates structural and mechanistic knowledge of packaging signal function in assembly to construct a phenotype-fitness map, capturing the impact of this RNA code on assembly yield and efficiency. Details of viral replication and assembly inside an infected host cell are coupled with a population model of a viral infection, allowing the occurrence of therapy resistance to be assessed in response to drugs inhibiting packaging signal recognition. Stochastic simulations of viral quasispecies evolution in chronic HCV infection under drug action and/or immune clearance reveal that drugs targeting all RNA signals in the assembly code collectively have a high barrier to drug resistance, even though each packaging signal in isolation has a lower barrier than conventional drugs. This suggests that drugs targeting the RNA signals in the assembly code could be promising routes for exploitation in anti-viral drug design.