scholarly journals Assessing hepatitis C virus distribution among vulnerable populations in London using whole genome sequencing: results from the TB-REACH study

2021 ◽  
Vol 6 ◽  
pp. 229
Author(s):  
Dewi Nur Aisyah ◽  
Alistair Story ◽  
Myrto Kremyda-Vlachou ◽  
Zisis Kozlakidis ◽  
Laura Shalcross ◽  
...  

Background: Injecting drugs substantially increases the risk of hepatitis C virus (HCV) infection and is common in vulnerable population groups, such as the homeless and prisoners. Capturing accurate data on relative genotype distribution within these groups is essential to inform strategies to reduce HCV transmission. The aim of this study was to utilise a next-generation whole-genome sequencing method recently validated by Public Health England, in order to produce near complete HCV genomes. Methods: In total, 98 HCV positive patients were recruited from homeless hostels and drug treatment services through the National Health Services (NHS) Find and Treat (F&T) Service between May 2011 and June 2013 in London, UK. Samples were sequenced by Next-generation sequencing, with 88 complete HCV genomes constructed by a de novo assembly pipeline. They were analysed phylogenetically for an estimate of their genetic distance. Results: Of the 88 complete HCV genomes, 50/88 (56.8%) were genotype 1; 32/88 (36.4%) genotype 3; 4/88 (4.5%) genotype 2; and 1/88 (1.1%) for genotypes 4 and 6 each. Subtype 1a had the highest number of samples (51.1%), followed by subtype 3a (35.2%), 1b (5.7%), and 2b (3.4%). Samples collected from drug treatment services had the highest number of genotype 1 (69%); genotypes 4 and 6 were only found from samples collected in homeless shelters. Small clusters of highly related genomic sequences were observed both across and within the vulnerable groups sampled. Conclusions: Subsequent phylogenetic analysis provides a first indication that there are related HCV sequences amongst the three vulnerable population groups, reflecting their overlapping social behaviours. This study is the first presentation of whole genome HCV sequences from such vulnerable groups in London and paves the way for similar research in the future.

2016 ◽  
Vol 53 (5) ◽  
pp. 341-351 ◽  
Author(s):  
Pauline Trémeaux ◽  
Alban Caporossi ◽  
Marie-Ange Thélu ◽  
Michael Blum ◽  
Vincent Leroy ◽  
...  

Viruses ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1721
Author(s):  
Hope R. Lapointe ◽  
Weiyan Dong ◽  
Winnie W. Y. Dong ◽  
Don Kirkby ◽  
Conan Woods ◽  
...  

Despite the effectiveness of direct-acting antiviral agents in treating hepatitis C virus (HCV), cases of treatment failure have been associated with the emergence of resistance-associated substitutions. To better guide clinical decision-making, we developed and validated a near-whole-genome HCV genotype-independent next-generation sequencing strategy. HCV genotype 1–6 samples from direct-acting antiviral agent treatment-naïve and -treated HCV-infected individuals were included. Viral RNA was extracted using a NucliSens easyMAG and amplified using nested reverse transcription-polymerase chain reaction. Libraries were prepared using Nextera XT and sequenced on the Illumina MiSeq sequencing platform. Data were processed by an in-house pipeline (MiCall). Nucleotide consensus sequences were aligned to reference strain sequences for resistance-associated substitution identification and compared to NS3, NS5a, and NS5b sequence data obtained from a validated in-house assay optimized for HCV genotype 1. Sequencing success rates (defined as achieving >100-fold read coverage) approaching 90% were observed for most genotypes in samples with a viral load >5 log10 IU/mL. This genotype-independent sequencing method resulted in >99.8% nucleotide concordance with the genotype 1-optimized method, and 100% agreement in genotype assignment with paired line probe assay-based genotypes. The assay demonstrated high intra-run repeatability and inter-run reproducibility at detecting substitutions above 2% prevalence. This study highlights the performance of a freely available laboratory and bioinformatic approach for reliable HCV genotyping and resistance-associated substitution detection regardless of genotype.


BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Nasir Riaz ◽  
Preston Leung ◽  
Kirston Barton ◽  
Martin A. Smith ◽  
Shaun Carswell ◽  
...  

Abstract Background Hepatitis C (HCV) and many other RNA viruses exist as rapidly mutating quasi-species populations in a single infected host. High throughput characterization of full genome, within-host variants is still not possible despite advances in next generation sequencing. This limitation constrains viral genomic studies that depend on accurate identification of hemi-genome or whole genome, within-host variants, especially those occurring at low frequencies. With the advent of third generation long read sequencing technologies, including Oxford Nanopore Technology (ONT) and PacBio platforms, this problem is potentially surmountable. ONT is particularly attractive in this regard due to the portable nature of the MinION sequencer, which makes real-time sequencing in remote and resource-limited locations possible. However, this technology (termed here ‘nanopore sequencing’) has a comparatively high technical error rate. The present study aimed to assess the utility, accuracy and cost-effectiveness of nanopore sequencing for HCV genomes. We also introduce a new bioinformatics tool (Nano-Q) to differentiate within-host variants from nanopore sequencing. Results The Nanopore platform, when the coverage exceeded 300 reads, generated comparable consensus sequences to Illumina sequencing. Using HCV Envelope plasmids (~ 1800 nt) mixed in known proportions, the capacity of nanopore sequencing to reliably identify variants with an abundance as low as 0.1% was demonstrated, provided the autologous reference sequence was available to identify the matching reads. Successful pooling and nanopore sequencing of 52 samples from patients with HCV infection demonstrated its cost effectiveness (AUD$ 43 per sample with nanopore sequencing versus $100 with paired-end short read technology). The Nano-Q tool successfully separated between-host sequences, including those from the same subtype, by bulk sorting and phylogenetic clustering without an autologous reference sequence (using only a subtype-specific generic reference). The pipeline also identified within-host viral variants and their abundance when the parameters were appropriately adjusted. Conclusion Cost effective HCV whole genome sequencing and within-host variant identification without haplotype reconstruction are potential advantages of nanopore sequencing.


2018 ◽  
Author(s):  
Mark Stevenson ◽  
Alistair T Pagnamenta ◽  
Heather G Mack ◽  
Judith A Savige ◽  
Kate E Lines ◽  
...  

2016 ◽  
Vol 25 (1) ◽  
pp. 15-24 ◽  
Author(s):  
Tim Zimmermann ◽  
Dietrich Hueppe ◽  
Stefan Mauss ◽  
Peter Buggisch ◽  
Heike Pfeiffer-Vornkahl ◽  
...  

Background & Aims: Smoking has multiple effects on factors influencing hepatitis C and antiviral therapy, including lipid metabolism, fibrosis, platelet count and adherence aspects. The aim of this analysis was to determine the impact of smoking on hepatitis C virus antiviral therapy. Methods: Data of two cohorts of an observational multicenter study including therapy-naïve patients infected with genotype 1 hepatitis C virus (HCV) treated with dual antiviral therapy (n=7,796) with pegylated interferon alpha 2a in combination with ribavirin, or triple antiviral therapy (n=1,122) containing telaprevir or boceprevir, were analysed. Results: In the univariate matched pair analysis of dual antiviral therapy patients (n=584), smoking was significantly associated with lower sustained viral response rates (p=0.026, OR 0.69 CI: 0.50 – 0.96). The effect of smoking on sustained viral response remained significant (p=0.028, OR 0.67 CI: 0.47 – 0.96) in the multivariate analysis when adjusting for all other baseline parameters with a significant association in the univariate analysis, i.e. diabetes, fibrosis, body mass index, transaminases and baseline viral load. Under protease inhibitors the influence of smoking on virological response did not arise. Conclusions: Smoking has a negative impact on antiviral therapy in naïve patients infected with HCV genotype 1 independently of age, gender, history of drug use or alcoholic liver disease. The effects of smoking might be overcome by the new antiviral agents.Abbreviations: APRI: AST to platelet ratio index; DAA: direct antiviral agent; DT: dual antiviral therapy; EoTR: end of treatment response; RVR: rapid virological response; EVR: early virological response; HCV: hepatitis C virus; IFN: interferon alpha; MPA: Matched Pair Analysis; NS: non-smokers; PEG-IFN: pegylated interferon alpha 2a; PI: protease inhibitor; RBV: ribavirin; SAE: serious adverse event; SOC: standard of care; S: smokers; SVR: sustained viral response.    


2016 ◽  
Vol 94 (suppl_5) ◽  
pp. 146-146
Author(s):  
D. M. Bickhart ◽  
L. Xu ◽  
J. L. Hutchison ◽  
J. B. Cole ◽  
D. J. Null ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document