HCV Genotyping with Concurrent Profiling of Resistance-Associated Variants by NGS Analysis

Determination of viral characteristics including genotype (GT), subtype (ST) and resistance-associated variants (RAVs) profile is important in assigning direct-acting antivirals regimes in HCV patients. To help achieve the best clinical management of HCV patients, a routine diagnostic laboratory should aim at reporting accurate viral GT/ST and RAVs using a reliable diagnostic platform of choice. A laboratory study was conducted to evaluate performance characteristics of a new commercial next-generation sequencing (NGS)-based HCV genotyping assay in comparison to another widely used commercial line probe assay for HCV genotyping. Information on RAVs from deeply sequenced NS3, NS5A and NS5B regions in samples classified as HCV 1a and 1b was harnessed from the fully automated software. Perfect (100%) concordance at HCV genotype level was achieved in GT2 (N = 13), GT3 (N = 55) and GT5 (N = 7). NGS refined the ST assignment in GTs 1, 4 and 6, and resolved previously indeterminate GTs reported by line probe assay. NGS was found to have consistent intra- and inter-run reproducibility in terms of genotyping, subtyping and RAVs identification. Detection of infections with multiple HCV GTs or STs is feasible by NGS. Deep sequencing allows sensitive identification of RAVs in the GT 1a and 1b NS3, NS5A and NS5B regions, but the list of target RAVs is not exhaustive

Full-genome next-generation sequencing of hepatitis C virus to assess the accuracy of genotyping by the commercial assay LiPA and the prevalence of resistance-associated substitutions in a Belgian cohort

Funding Information: This work and KTC were supported by grants from the Fonds voor Wetenschappelijk Onderzoek Vlaanderen (FWO) ( G069214 , G0B2317N , 1S38819N ). LC acknowledges FWO travel grant for a research visit at University of Oxford ( V431117N ). The authors thank the staff in Oxford in their support of the laboratory work and the donation of the probes used for enrichment of HCV. Publisher Copyright: © 2022 Elsevier B.V.Background: Although most currently used regimens for Hepatitis C virus (HCV) infections can be initiated without prior knowledge of genotype and subtype, genotyping is still useful to identify patients who might benefit from a personalized treatment due to resistance to direct-acting antivirals (DAA). Objectives: To assess the utility of full-genome next-generation sequencing (FG-NGS) for HCV genotyping. Study design: 138 HCV plasma samples previously genotyped by VERSANT HCV Genotype Assay (LiPA) were subjected to FG-NGS and phylogenetically genotyped Genome Detective. Consensuses were analysed by HCV-GLUE for resistance-associated substitutions (RASs) and their impact on treatment response was investigated. Results: 102/138 (73.9%) samples were sequenced to a genome coverage and depth of >90% of the HCV open reading frame covered by >100 reads/site. Concordant genotype and subtype results were assigned in 97.1% and 79.4% of samples, respectively. FG-NGS resolved the subtype of 13.7% samples that had ambiguous calls by LiPA and identified one dual infection and one recombinant strain. At least one RAS was found for the HCV genes NS3, NS5A, and NS5B in 2.91%, 36.98% and 27.3% samples, respectively. Irrespective of the observed RAS, all patients responded well to DAA treatment, except for HCV1b-infected patients treated with Zepatier (33.3% failure rate (5/15)). Conclusion: While LiPA and FG-NGS showed overall good concordance, FG-NGS improved specificity for subtypes, recombinant and mixed infections. FG-NGS enabled the detection of RAS, but its predictive value for treatment outcome in DAA-naïve patients remains uncertain. With additional refinements, FG-NGS may be the way forward for HCV genotyping.publishersversionpublishe

Sophisticated viral quasispecies with a genotype-related pattern of mutations in the hepatitis B X gene of HBeAg-ve chronically infected patients

Haplotipos; Enfermedades infecciosas; MutaciónHaplotips; Enfermetats infeccioses; MutacióHaplotypes; Infectious diseases; MutationPatients with HBeAg-negative chronic infection (CI) have not been extensively studied because of low viremia. The HBx protein, encoded by HBX, has a key role in viral replication. Here, we analyzed the viral quasispecies at the 5′ end of HBX in CI patients and compared it with that of patients in other clinical stages. Fifty-eight HBeAg-negative patients were included: 16 CI, 19 chronic hepatitis B, 16 hepatocellular carcinoma and 6 liver cirrhosis. Quasispecies complexity and conservation were determined in the region between nucleotides 1255 and 1611. Amino acid changes detected were tested in vitro. CI patients showed higher complexity in terms of mutation frequency and nucleotide diversity and higher quasispecies conservation (p < 0.05). A genotype D-specific pattern of mutations (A12S/P33S/P46S/T36D-G) was identified in CI (median frequency, 81.7%), which determined a reduction in HBV DNA release of up to 1.5 log in vitro. CI patients showed a more complex and conserved viral quasispecies than the other groups. The genotype-specific pattern of mutations could partially explain the low viremia observed in these patients.This study was supported by grants from the Institute of Health Carlos III (grant PI15/00856 and PI18/01436) and co-financed by the European Regional Development Fund (ERDF)

Clinical application of high throughput molecular screening techniques for pharmacogenomics.

Genetic analysis is one of the fastest-growing areas of clinical diagnostics. Fortunately, as our knowledge of clinically relevant genetic variants rapidly expands, so does our ability to detect these variants in patient samples. Increasing demand for genetic information may necessitate the use of high throughput diagnostic methods as part of clinically validated testing. Here we provide a general overview of our current and near-future abilities to perform large-scale genetic testing in the clinical laboratory. First we review in detail molecular methods used for high throughput mutation detection, including techniques able to monitor thousands of genetic variants for a single patient or to genotype a single genetic variant for thousands of patients simultaneously. These methods are analyzed in the context of pharmacogenomic testing in the clinical laboratories, with a focus on tests that are currently validated as well as those that hold strong promise for widespread clinical application in the near future. We further discuss the unique economic and clinical challenges posed by pharmacogenomic markers. Our ability to detect genetic variants frequently outstrips our ability to accurately interpret them in a clinical context, carrying implications both for test development and introduction into patient management algorithms. These complexities must be taken into account prior to the introduction of any pharmacogenomic biomarker into routine clinical testing

A Novel Diagnostic Target in the Hepatitis C Virus Genome

Christian Drosten and colleagues develop, validate, and make openly available a prototype hepatitis C virus assay based on the conserved 3' X-tail element, with potential for clinical use in developing countries