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Christensen KT, Pierard F, Beuselinck K, Bonsall D, Bowden R, Lagrou K, Nevens F, Schrooten Y, Simmonds P, Vandamme AM, Van Wijngaerden E, Dierckx T, Cuypers L, Van Laethem K. 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. J Clin Virol 2022; 155:105252. [PMID: 35981443 DOI: 10.1016/j.jcv.2022.105252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 07/26/2022] [Accepted: 08/02/2022] [Indexed: 02/07/2023]
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Li J, Wu DB, Jiang W, Chen XB, Xiao GB, Wang YH, Wang ML, Tao YC, Chen EQ. Efficacy and safety of sofosbuvir-based pangenotypic direct-acting antiviral agents for chronic hepatitis C patients without genotype determination: Real-world experience of a retrospective study. Medicine (Baltimore) 2020; 99:e22726. [PMID: 33120769 PMCID: PMC7581131 DOI: 10.1097/md.0000000000022726] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 08/16/2020] [Accepted: 09/15/2020] [Indexed: 02/07/2023] Open
Abstract
Several new, pangenotypic direct-acting antiviral agents (DAAs) have been approved, may reduce the need for genotyping to guide therapy decisions for patients with chronic hepatitis C (CHC).This study aimed to investigate the efficacy and safety of Sofosbuvir (SOF)-based pangenotypic DAAs therapy for CHC patients without genotype (GT determination in the real-world practice.This retrospective cohort study included treatment-naïve CHC patients without GT determination, who received SOF-based DAAs therapy, including 400 mg SOF plus 60 mg daclatasvir (DCV) daily or 400 mg SOF plus 100 mg velpatasvir (VEL) daily for 12 or 24 weeks. Clinical and laboratory data, including sustained virologic response (SVR), were obtained at baseline, end of treatment (EOT), 12 weeks after EOT, and 48 weeks after EOT.A total of 95 CHC patients, including 30 (31.58%) had liver cirrhosis were enrolled. SVR rates after 12 weeks of treatment (SVR12) was 96.84% (92/95), including 96.20% (76/79) of patients receiving SOF plus DCV and 100% (16/16) of patients receiving SOF plus VEL. For 92 patients achieving an SVR12, no virological relapse was observed at 48 weeks after EOT. Furthermore, serum evaluation of liver fibrosis aspartate aminotransferase-to-platelet ratio index and Fibrosis-4 score were decreased significantly at EOT and 12 weeks after EOT, compared to pre-treatment values (both P < .05). Treatment was well-tolerated by our patients.SOF-based pangenotypic DAAs including SOF plus DCV and SOF plus VEL, were effective and safe for CHC patients without GT determination in this study. This may provide a potential simple strategy for CHC treatment without GT determination.
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Affiliation(s)
- Juan Li
- Department of Infectious Diseases, Pidu District People's Hospital
| | - Dong-Bo Wu
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu
| | - Wei Jiang
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu
| | - Xue-Bin Chen
- Department of Infectious Diseases, People's Hospital of Deyang City
| | - Gui-Bao Xiao
- Department of Infectious Diseases, the First People's Hospital of Ziyang, Sichuan, PR China
| | - Yong-Hong Wang
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu
| | - Meng-Lan Wang
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu
| | - Ya-Chao Tao
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu
| | - En-Qiang Chen
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu
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Yu ML, Chen PJ, Dai CY, Hu TH, Huang CF, Huang YH, Hung CH, Lin CY, Liu CH, Liu CJ, Peng CY, Lin HC, Kao JH, Chuang WL. 2020 Taiwan consensus statement on the management of hepatitis C: part (I) general population. J Formos Med Assoc 2020; 119:1019-1040. [PMID: 32359879 DOI: 10.1016/j.jfma.2020.04.003] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 03/19/2020] [Accepted: 04/05/2020] [Indexed: 12/16/2022] Open
Abstract
Hepatitis C virus (HCV) infection remains a major public health issue with high prevalence in Taiwan. Recently, the advent of direct-acting antiviral (DAA) agents, with higher efficacy, excellent safety profile, and truncated treatment duration, has revolutionized the paradigm of hepatitis C treatment and made HCV elimination possible. To provide timely guidance for optimal hepatitis C management, the Taiwan Association for the Study of the Liver (TASL) established an expert panel to publish a 2-part consensus statement on the management of hepatitis C in the DAA era. After comprehensive literature review and a consensus meeting, patient-oriented, genotype-guided recommendations on hepatitis C treatment for the general and special populations have been provided based on the latest indications and scientific evidence. In the first part of this consensus, we present the epidemiology and treatment situation of hepatitis C in Taiwan, the development of DAA, pre-treatment evaluation, post sustained virologic response (SVR) monitoring, and most importantly the treatment recommendations for the general population with compensated liver disease. The second part will focus on the treatment recommendations for the special populations.
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Affiliation(s)
- Ming-Lung Yu
- Hepatobiliary Division, Department of Internal Medicine and Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; School of Medicine and Hepatitis Research Center, College of Medicine, Center for Cancer Research and Center for Liquid Biopsy, Kaohsiung Medical University, Kaohsiung, Taiwan.
| | - Pei-Jer Chen
- Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan; Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan
| | - Chia-Yen Dai
- Hepatobiliary Division, Department of Internal Medicine and Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; School of Medicine and Hepatitis Research Center, College of Medicine, Center for Cancer Research and Center for Liquid Biopsy, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Tsung-Hui Hu
- Division of Hepato-Gastroenterology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Chung-Feng Huang
- Hepatobiliary Division, Department of Internal Medicine and Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; School of Medicine and Hepatitis Research Center, College of Medicine, Center for Cancer Research and Center for Liquid Biopsy, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yi-Hsiang Huang
- Division of Gastroenterology and Hepatology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Clinical Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan
| | - Chao-Hung Hung
- Division of Hepato-Gastroenterology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Chun-Yen Lin
- Department of Gastroenterology and Hepatology, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; School of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chen-Hua Liu
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan
| | - Chun-Jen Liu
- Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan; Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan
| | - Cheng-Yuan Peng
- Center for Digestive Medicine, Department of Internal Medicine, China Medical University Hospital, China Medical University, Taichung, Taiwan
| | - Han-Chieh Lin
- Division of Gastroenterology and Hepatology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Jia-Horng Kao
- Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan; Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan
| | - Wan-Long Chuang
- Hepatobiliary Division, Department of Internal Medicine and Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; School of Medicine and Hepatitis Research Center, College of Medicine, Center for Cancer Research and Center for Liquid Biopsy, Kaohsiung Medical University, Kaohsiung, Taiwan
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Pronier C, Fontaine H, Dorival C, Carrat F, Pol S, Thibault V. Genetic diversity of genotype 6 HCV infections in France: Epidemiology and consequences for treatment strategy. J Viral Hepat 2019; 26:1276-1283. [PMID: 31273896 DOI: 10.1111/jvh.13171] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 05/28/2019] [Accepted: 05/30/2019] [Indexed: 01/12/2023]
Abstract
Genotype-6 hepatitis C virus (GT6-HCV) exhibits a high genetic diversity. GT6 prevalence, diversity and real-life response to treatment were studied among 14 603 HCV mono-infected patients from the French ANRS-CO22-Hepather cohort. NS3, NS5A and NS5B-HCV genes were amplified and sequenced for all GT6-infections identified in the database. Following phylogenic characterization, resistance-associated substitution polymorphisms were identified. GT6-infected patients (n = 36; 0.25%) did not differ from patients infected with other genotypes with regard to gender, age or liver fibrosis. GT6e was the most prevalent (27.8%), followed by 6a (22.2%), 6q (11.1%) and 6o (8.3%). Each subtype p and xc were found in two patients (5.6%) and subtypes f/h/r and t were each detected in one patient. Four strains (11.1%) clustered with unclassified reference sequences. Concordant genotype determination throughout NS3, NS5A and NS5B-genes is consistent with lack of recombination within this genomic region. All, but three patients were born in Asia, Cambodia (44.4%), Vietnam (38.9%) or Laos (8.3%). GT6a were found in 42.8% of Vietnamese and 6e in 37.5% of Cambodian. GT6q, 6p and 6r were only found in Cambodian patients. Resistance-associated polymorphisms for each DAA classes were identified in baseline sequences. Twenty-seven patients were treated with sofosbuvir-based combinations and 3 with glecaprevir/pibrentasvir. All treated patients, whether naïve or previously treated, achieved a sustained viral response. In conclusion, GT6-infections are uncommon in France and their genetic diversity likely reflects infection within the country of origin. Despite residue variability at DAA resistance-associated positions, sustained viral response was obtained in all treated patients.
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Affiliation(s)
- Charlotte Pronier
- CHU Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Virology Univ Rennes, Rennes, France
| | - Hélène Fontaine
- Hepatology, Hôpital Cochin, AP-HP, Inserm U1223 Institut Pasteur, Paris Descartes University, Paris, France
| | - Céline Dorival
- UMR S 1136-IPLESP, INSERM, Sorbonne University, Paris, France
| | - Fabrice Carrat
- UMR S 1136-IPLESP, INSERM, Sorbonne University, Paris, France
| | - Stanislas Pol
- Hepatology, Hôpital Cochin, AP-HP, Inserm U1223 Institut Pasteur, Paris Descartes University, Paris, France
| | - Vincent Thibault
- CHU Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Virology Univ Rennes, Rennes, France
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Andrade E, Rocha D, Fontana-Maurell M, Costa E, Ribeiro M, Godoy DTD, Ferreira AGP, Tanuri A, Brindeiro R, Alvarez P. Resistance mutations of NS3 and NS5b in treatment-naïve patients infected with hepatitis C virus in Santa Catarina and Rio Grande do Sul states, Brazil. Genet Mol Biol 2019; 43:e20180237. [PMID: 31644681 PMCID: PMC7229887 DOI: 10.1590/1678-4685-gmb-2018-0237] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 03/01/2019] [Indexed: 12/26/2022] Open
Abstract
Hepatitis C virus (HCV) infection is a worldwide health problem. Nowadays,
direct-acting antiviral agents (DAAs) are the main treatment for HCV; however,
the high level of virus variability leads to the development of
resistance-associated variants (RAVs). Thus, assessing RAVs in infected patients
is important for monitoring treatment efficacy. The aim of our study was to
investigate the presence of naturally occurring resistance mutations in HCV NS3
and NS5 regions in treatment-naïve patients. Ninety-six anti-HCV positive serum
samples from blood donors at the Center of Hematology and Hemotherapy of Santa
Catarina State (HEMOSC) were collected retrospectively in 2013 and evaluated in
this study. HCV 1a (37.9%), 1b (25.3%), and 3a (36.8%) subtypes were found. The
frequency of patients with RAVs in our study was 6.9%. The HCV NS5b sequencing
reveled 1 sample with L320F mutation and 4 samples with the C316N/R
polymorphism. The analysis of the NS3 region revealed the D168A/G/T (3.45%),
S122G (1.15%), and V55A (2.3%) mutations. All samples from genotype 3a (36.8%)
presented the V170 I/V non-synonymous mutation. In conclusion, we have shown
that mutations in NS3 and NS5b genes are present in Brazilian isolates from
therapy-naïve HCV patients.
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Affiliation(s)
- Elisabete Andrade
- Fundação Oswaldo Cruz/Fiocruz, Instituto de Tecnologia em Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brazil.,Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
| | - Daniele Rocha
- Fundação Oswaldo Cruz/Fiocruz, Instituto de Tecnologia em Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brazil
| | - Marcela Fontana-Maurell
- Fundação Oswaldo Cruz/Fiocruz, Instituto de Tecnologia em Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brazil
| | - Elaine Costa
- Fundação Oswaldo Cruz/Fiocruz, Instituto de Tecnologia em Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brazil
| | - Marisa Ribeiro
- Fundação Oswaldo Cruz/Fiocruz, Instituto de Tecnologia em Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brazil
| | - Daniela Tupy de Godoy
- Fundação Oswaldo Cruz/Fiocruz, Instituto de Tecnologia em Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brazil
| | - Antonio G P Ferreira
- Fundação Oswaldo Cruz/Fiocruz, Instituto de Tecnologia em Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brazil
| | - Amilcar Tanuri
- Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
| | - Rodrigo Brindeiro
- Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
| | - Patrícia Alvarez
- Fundação Oswaldo Cruz/Fiocruz, Instituto de Tecnologia em Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brazil
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6
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Cuypers L, Thijssen M, Shakibzadeh A, Sabahi F, Ravanshad M, Pourkarim MR. Next-generation sequencing for the clinical management of hepatitis C virus infections: does one test fits all purposes? Crit Rev Clin Lab Sci 2019; 56:420-434. [PMID: 31317801 DOI: 10.1080/10408363.2019.1637394] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
While the prospect of viral cure is higher than ever for individuals infected with the hepatitis C virus (HCV) due to ground-breaking progress in antiviral treatment, success rates are still negatively influenced by HCV's high genetic variability. This genetic diversity is represented in the circulation of various genotypes and subtypes, mixed infections, recombinant forms and the presence of numerous drug resistant variants among infected individuals. Common misclassifications by commercial genotyping assays in combination with the limitations of currently used targeted population sequencing approaches have encouraged researchers to exploit alternative methods for the clinical management of HCV infections. Next-generation sequencing (NGS), a revolutionary and powerful tool with a variety of applications in clinical virology, can characterize viral diversity and depict viral dynamics in an ultra-wide and ultra-deep manner. The level of detail it provides makes it the method of choice for the diagnosis and clinical assessment of HCV infections. The sequence library provided by NGS is of a higher magnitude and sensitivity than data generated by conventional methods. Therefore, these technologies are helpful to guide clinical practice and at the same time highly valuable for epidemiological studies. The decreasing costs of NGS to determine genotypes, mixed infections, recombinant strains and drug resistant variants will soon make it feasible to employ NGS in clinical laboratories, to assist in the daily care of patients with HCV.
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Affiliation(s)
- Lize Cuypers
- Laboratory of Clinical and Epidemiological Virology, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven , Leuven , Belgium
| | - Marijn Thijssen
- Laboratory of Clinical and Epidemiological Virology, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven , Leuven , Belgium
| | - Arash Shakibzadeh
- Department of Medical Virology, Faculty of Medical Sciences, Tarbiat Modares University , Tehran , Iran
| | - Farzaneh Sabahi
- Department of Medical Virology, Faculty of Medical Sciences, Tarbiat Modares University , Tehran , Iran
| | - Mehrdad Ravanshad
- Department of Medical Virology, Faculty of Medical Sciences, Tarbiat Modares University , Tehran , Iran
| | - Mahmoud Reza Pourkarim
- Laboratory of Clinical and Epidemiological Virology, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven , Leuven , Belgium.,Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences , Shiraz , Iran.,Blood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine , Tehran , Iran
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7
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Walker A, Ennker KS, Kaiser R, Lübke N, Timm J. A pan-genotypic Hepatitis C Virus NS5A amplification method for reliable genotyping and resistance testing. J Clin Virol 2019; 113:8-13. [PMID: 30771598 DOI: 10.1016/j.jcv.2019.01.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2018] [Revised: 01/15/2019] [Accepted: 01/29/2019] [Indexed: 01/23/2023]
Abstract
BACKGROUND Chronic infection with the Hepatitis C Virus (HCV) is associated with the risk of progressive liver disease. Although, HCV treatment options and viral cure rates have tremendously increased over the last decade, all currently licensed combination therapies contain inhibitors of the replication complex NS5A. Resistance-associated substitutions (RAS) in NS5A can limit the efficacy of therapy; however, resistance testing is routinely not recommended for all patients. Notably, pan-genotypic combinations have been approved, however the correct identification of the HCV genotype is still required for treatment decisions and is a good predictor for treatment success. OBJECTIVE The aim of this study was the establishment of a pan-genotypic NS5A amplification method for reliable genotyping and simultaneous resistance testing in a fast and cheap routine diagnostic setup. STUDY DESIGN Pan-genotypic degenerated nested PCR primer were designed and tested in 262 HCV-patients. The collection included samples from genotypes 1-7 and the median viral load was 1.07 × 106 IU/ml (range 248-21 × 106 IU/ml). RESULTS Amplification of the expected 747bp fragment was successful in 257 of 262 (98.1%) samples including samples <1000 IU/ml. The direct comparison of the genotype information obtained with core sequencing to those obtained by NS5A prediction showed high concordance (97.3%) and discrepancies occurred only for relatively rare subtypes. Resistance analysis using Geno2Pheno[HCV] showed NS5A-RAS in 23 of 257 (8.9%) of samples. CONCLUSIONS We successfully developed a routine diagnostic method for pan-genotypic amplification of NS5A. This amplicon can be used for simultaneous genotyping and resistance testing for enhancing and improving routine HCV diagnostic.
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Affiliation(s)
- Andreas Walker
- Institute of Virology, Heinrich-Heine-University, University Hospital, Düsseldorf, Germany.
| | - Kim Sophie Ennker
- Institute of Virology, Heinrich-Heine-University, University Hospital, Düsseldorf, Germany
| | - Rolf Kaiser
- Institute of Virology, University of Cologne, Cologne, Germany
| | - Nadine Lübke
- Institute of Virology, Heinrich-Heine-University, University Hospital, Düsseldorf, Germany
| | - Jörg Timm
- Institute of Virology, Heinrich-Heine-University, University Hospital, Düsseldorf, Germany
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8
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Olmstead AD, Montoya V, Chui CK, Dong W, Joy JB, Tai V, Poon AFY, Nguyen T, Brumme CJ, Martinello M, Matthews GV, Richard Harrigan P, Dore GJ, Applegate TL, Grebely J, Howe AYM. A systematic, deep sequencing-based methodology for identification of mixed-genotype hepatitis C virus infections. INFECTION GENETICS AND EVOLUTION 2019; 69:76-84. [PMID: 30654177 DOI: 10.1016/j.meegid.2019.01.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Revised: 01/10/2019] [Accepted: 01/13/2019] [Indexed: 02/06/2023]
Abstract
Hepatitis C virus (HCV) mixed genotype infections can affect treatment outcomes and may have implications for vaccine design and disease progression. Previous studies demonstrate 0-39% of high-risk, HCV-infected individuals harbor mixed genotypes however standardized, sensitive methods of detection are lacking. This study compared PCR amplicon, random primer (RP), and probe enrichment (PE)-based deep sequencing methods coupled with a custom sequence analysis pipeline to detect multiple HCV genotypes. Mixed infection cutoff values, based on HCV read depth and coverage, were identified using receiver operating characteristic curve analysis. The methodology was validated using artificially mixed genotype samples and then applied to two clinical trials of HCV treatment in high-risk individuals (ACTIVATE, 114 samples from 90 individuals; DARE-C II, 26 samples from 18 individuals) and a cohort of HIV/HCV co-infected individuals (Canadian Coinfection Cohort (CCC), 3 samples from 2 individuals with suspected mixed genotype infections). Amplification bias of genotype (G)1b, G2, G3 and G5 was observed in artificially mixed samples using the PCR method while no genotype bias was observed using RP and PE. RP and PE sequencing of 140 ACTIVATE and DARE-C II samples identified the following primary genotypes: 15% (n = 21) G1a, 76% (n = 106) G3, and 9% (n = 13) G2. Sequencing of ACTIVATE and DARE-C II demonstrated, on average, 2% and 1% of HCV reads mapping to a second genotype using RP and PE, respectively, however none passed the mixed infection cutoff criteria and phylogenetics confirmed no mixed infections. From CCC, one mixed infection was confirmed while the other was determined to be a recombinant genotype. This study underlines the risk for false identification of mixed HCV infections and stresses the need for standardized methods to improve prevalence estimates and to understand the impact of mixed infections for management and elimination of HCV.
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Affiliation(s)
| | | | - Celia K Chui
- BC Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada
| | - Winnie Dong
- BC Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada
| | - Jeffrey B Joy
- BC Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada; Faculty of Medicine, Department of Medicine, Division of AIDS, University of British Columbia, Vancouver, BC, Canada
| | - Vera Tai
- BC Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada
| | - Art F Y Poon
- BC Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada
| | - Thuy Nguyen
- BC Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada
| | | | | | | | - P Richard Harrigan
- Faculty of Medicine, Department of Medicine, Division of AIDS, University of British Columbia, Vancouver, BC, Canada
| | - Gregory J Dore
- UNSW Sydney, The Kirby Institute, Sydney, NSW, Australia
| | | | - Jason Grebely
- UNSW Sydney, The Kirby Institute, Sydney, NSW, Australia
| | - Anita Y M Howe
- BC Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada
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9
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Abstract
INTRODUCTION Hepatitis C virus (HCV) is divided into 7 genotypes and 67 subtypes. HCV genotype studies reflect the viral transmission patterns as well as human migration routes. In a clinical setting, HCV genotype is a baseline predictor for the sustained virological response (SVR) in chronic hepatitis C patients treated with peginterferon or some direct acting antivirals (DAAs). The Versant HCV genotype 2.0 assay has been globally used for HCV genotyping over a decade. Areas covered: The assay is based on reverse hybridization principle. It is evolved from its former versions, and the accuracy and successful genotyping/subtyping rate are substantially improved. It shows an accuracy of 99-100% for genotypes 1-6. It can also reliably identify subtypes 1a and 1b. However, the assay does not allow a high resolution for many other subtypes. Reasons for indeterminate or inaccurate genotyping/subtyping results are discussed. Expert commentary: Genotyping helps to find the most efficacious and cost-effective treatment regimen. The rapid development of anti-HCV treatment regimens, however, is greatly simplifying laboratory tests. In the near future, the need for HCV genotyping and frequent serial on-treatment HCV RNA tests will decrease along with the wide use of the more potent and pan-genotypic DAA regimens.
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Affiliation(s)
- Ruifeng Yang
- a Peking University People's Hospital, Peking University Hepatology Institute , Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases , Beijing , China
| | - Lai Wei
- a Peking University People's Hospital, Peking University Hepatology Institute , Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases , Beijing , China
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10
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Pedersen MS, Fahnøe U, Hansen TA, Pedersen AG, Jenssen H, Bukh J, Schønning K. A near full-length open reading frame next generation sequencing assay for genotyping and identification of resistance-associated variants in hepatitis C virus. J Clin Virol 2018; 105:49-56. [PMID: 29886373 DOI: 10.1016/j.jcv.2018.05.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2017] [Revised: 05/22/2018] [Accepted: 05/26/2018] [Indexed: 12/27/2022]
Abstract
BACKGROUND The current treatment options for hepatitis C virus (HCV), based on direct acting antivirals (DAA), are dependent on virus genotype and previous treatment experience. Treatment failures have been associated with detection of resistance-associated substitutions (RASs) in the DAA targets of HCV, the NS3, NS5A and NS5 B proteins. OBJECTIVE To develop a next generation sequencing based method that provides genotype and detection of HCV NS3, NS5A, and NS5 B RASs without prior knowledge of sample genotype. STUDY DESIGN In total, 101 residual plasma samples from patients with HCV covering 10 different viral subtypes across 4 genotypes with viral loads of 3.84-7.61 Log IU/mL were included. All samples were de-identified and consequently prior treatment status for patients was unknown. Almost full open reading frame amplicons (∼ 9 kb) were generated using RT-PCR with a single primer set. The resulting amplicons were sequenced with high throughput sequencing and analysed using an in-house developed script for detecting RASs. RESULTS The method successfully amplified and sequenced 94% (95/101) of samples with an average coverage of 14,035; four of six failed samples were genotype 4a. Samples analysed twice yielded reproducible nucleotide frequencies across all sites. RASs were detected in 21/95 (22%) samples at a 15% threshold. The method identified one patient infected with two genotype 2b variants, and the presence of subgenomic deletion variants in 8 (8.4%) of 95 successfully sequenced samples. CONCLUSIONS The presented method may provide identification of HCV genotype, RASs detection, and detect multiple HCV infection without prior knowledge of sample genotype.
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Affiliation(s)
- M S Pedersen
- Department of Microbiology, Copenhagen University Hospital, Hvidovre, Denmark; Copenhagen Hepatitis C Program (CO-HEP), Department of Infectious Diseases and Clinical Research Centre, Copenhagen University Hospital, Hvidovre, And Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Department of Science and Environment, Roskilde University, Denmark
| | - U Fahnøe
- Copenhagen Hepatitis C Program (CO-HEP), Department of Infectious Diseases and Clinical Research Centre, Copenhagen University Hospital, Hvidovre, And Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - T A Hansen
- Department of Microbiology, Copenhagen University Hospital, Hvidovre, Denmark
| | - A G Pedersen
- DTU Bioinformatics, Technical University of Denmark, Denmark
| | - H Jenssen
- Department of Science and Environment, Roskilde University, Denmark
| | - J Bukh
- Copenhagen Hepatitis C Program (CO-HEP), Department of Infectious Diseases and Clinical Research Centre, Copenhagen University Hospital, Hvidovre, And Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - K Schønning
- Department of Microbiology, Copenhagen University Hospital, Hvidovre, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
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11
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Némoz B, Roger L, Leroy V, Poveda JD, Morand P, Larrat S. Evaluation of the cobas® GT hepatitis C virus genotyping assay in G1-6 viruses including low viral loads and LiPA failures. PLoS One 2018; 13:e0194396. [PMID: 29566005 PMCID: PMC5864039 DOI: 10.1371/journal.pone.0194396] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 03/04/2018] [Indexed: 12/19/2022] Open
Abstract
Direct-acting antiviral (DAA) drug performances depend on the viral genotype. So international recommendations give typing of the virus a prerequisite for treatment choice and patient management. Commercially available HCV genotyping kits are scarce and this analysis is often in-house using tedious PCRs and Sanger sequencing, leading to a lack of standardization. A newly commercialized HCV genotyping assay based on real-time PCR has been developed by Roche Diagnostics (Mannheim, Germany). We compared this new assay with our in-house PCRs -sequencing technique on 101 regular samples and 81 LiPA failures or low viral load samples. No genotype or 1a/1b subtype mismatch was observed. Two samples were misidentified at the subtype level without clinical impact. Three genotype 1b and two genotype 1a samples with low viral load could not be subtyped. Nevertheless, 13 (13%) samples from the regular panel and 35 (43%) from the more difficult-to-type panels failed to give results on first pass with the Roche kit. Failures were mostly associated with genotype 3 subtype a, with genotype 4 subtype non-a, or with viral loads <200 IU/mL (p = 0.0061). The workflow allowed a non-specialized technician to obtain results in less than 4 hours whereas 2 to 3 days and experienced staff were required with the in-house assay. In conclusion, the Roche cobas® HCV GT kit is easy and rapid to use and provides reliable results. The high rate of uninterpretable results particularly for low viral load samples and less frequent genotypes, and the absence of subtyping for non-genotype 1 could require sending complex samples to a specialized laboratory.
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Affiliation(s)
- Benjamin Némoz
- Laboratory of Virology, Institute for Biology and Pathology, Grenoble Alpes University Hospital, Grenoble, France
| | - Léa Roger
- Laboratory of Virology, Institute for Biology and Pathology, Grenoble Alpes University Hospital, Grenoble, France
| | - Vincent Leroy
- Department of Hepatology, Grenoble Alpes University Hospital, Grenoble, France
| | | | - Patrice Morand
- Laboratory of Virology, Institute for Biology and Pathology, Grenoble Alpes University Hospital, Grenoble, France
- Institut of Structural Biology (IBS) –Mixed Research Unit 5075 (CEA-CNRS-UGA), Grenoble, Grenoble, France
| | - Sylvie Larrat
- Laboratory of Virology, Institute for Biology and Pathology, Grenoble Alpes University Hospital, Grenoble, France
- Institut of Structural Biology (IBS) –Mixed Research Unit 5075 (CEA-CNRS-UGA), Grenoble, Grenoble, France
- * E-mail:
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12
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Aguilera A, Navarro D, Rodríguez-Frias F, Viciana I, Martínez-Sapiña AM, Rodríguez MJ, Martró E, Lozano MC, Coletta E, Cardeñoso L, Suárez A, Trigo M, Rodríguez-Granjer J, Montiel N, de la Iglesia A, Alados JC, Vegas C, Bernal S, Fernández-Cuenca F, Pena MJ, Reina G, García-Bujalance S, Echevarria MJ, Benítez L, Pérez-Castro S, Ocete D, García-Arata I, Guerrero C, Rodríguez-Iglesias M, Casas P, García F. Prevalence and distribution of hepatitis C virus genotypes in Spain during the 2000-2015 period (the GEHEP 005 study). J Viral Hepat 2017; 24:725-732. [PMID: 28248445 DOI: 10.1111/jvh.12700] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Accepted: 02/09/2017] [Indexed: 12/11/2022]
Abstract
We report the largest study on the prevalence and distribution of HCV genotypes in Spain (2000-2015), and we relate them with clinical, epidemiological and virological factors. Patients from 29 hospitals in 10 autonomous communities (Andalusia, Aragon, Castilla-Leon, Catalonia, Galicia, Canary Islands, Madrid Community, Valencian Community, Murcia Region and Basque Country) have been studied. Annual distribution of HCV genotypes and subtypes, as well as gender, age, transmission route, HIV and/or HBV coinfection, and treatment details were recorded. We included 48595 chronically HCV-infected patients with the following characteristics: median age 51 years (IQR, 44-58), 67.9% male, 19.1% HIV-coinfected, 23.5% HBV-coinfected. Parenteral transmission route was the most frequent (58.7%). Genotype distribution was 66.9% GT1 (24.9% subtype 1a and 37.9% subtype 1b), 2.8% GT2, 17.3% GT3, 11.4% GT4 and 0.1% GT5 and 0.02% GT6. LiPA was the most widely HCV genotyping test used (52.4%). HCV subtype 1a and genotypes 3 and 4 were closely associated with male gender, parenteral route of infection and HIV and HBV coinfection; in contrast, subtype 1b and genotype 2 were associated with female gender, nonparenteral route and mono-infection. Age was related to genotype distribution, and different patterns of distribution and biodiversity index were observed between different geographical areas. Finally, we describe how treatment and changes in transmission routes may have affected HCV genotype prevalence and distribution patterns. We present the most recent data on molecular epidemiology of hepatitis C virus in Spain. This study confirms that genotype distributions vary with age, sex, HIV and HBV coinfection and within geographical areas and epidemiological groups.
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Affiliation(s)
- A Aguilera
- Complexo Hospitalario Universitario de Santiago de Compostela, A Coruña, Spain
| | - D Navarro
- Complexo Hospitalario Universitario de Santiago de Compostela, A Coruña, Spain
| | | | - I Viciana
- Hospital Clínico Universitario Virgen de la Victoria, Malaga, Spain
| | | | | | - E Martró
- Hospital Universitari Germans Trías i Pujol, Badalona, CIBER en Epidemiología y Salud Pública, Barcelona, Spain
| | - M C Lozano
- Hospital Universitario Virgen del Rocio, Sevilla, Spain
| | - E Coletta
- Hospital Clínico Universitario Valladolid, Valladolid, Spain
| | - L Cardeñoso
- Hospital Universitario de la Princesa, Madrid, Spain
| | - A Suárez
- Hospital Clínico San Carlos, Madrid, Spain
| | - M Trigo
- Complexo Hospitalario de Pontevedra, Pontevedra, Spain
| | | | - N Montiel
- Hospital Costa del Sol, Marbella, Spain
| | - A de la Iglesia
- Complejo Hospitalario Universitario de Huelva, Huelva, Spain
| | - J C Alados
- Hospital del SAS de Jerez de la Frontera, Sevilla, Spain
| | - C Vegas
- Fundación Jiménez Díaz, Madrid, Spain
| | - S Bernal
- Hospital Universitario Virgen de Valme, Sevilla, Spain
| | | | - M J Pena
- Hospital Doctor Negrín, Las Palmas de Gran Canaria, Las Palmas, Spain
| | - G Reina
- Clínica Universitaria de Navarra, Pamplona, Spain
| | | | | | - L Benítez
- Hospital Universitario Puerta de Hierro, Majadahonda, Spain
| | | | - D Ocete
- Consorcio Hospital General Universitario de Valencia, Valencia, Spain
| | - I García-Arata
- Hospital Universitario de Fuenlabrada, Fuenlabrada, Spain
| | - C Guerrero
- Hospital General Universitario Morales Meseguer, Murcia, Spain
| | | | - P Casas
- Hospital Universitario San Cecilio, Instituto de Investigación Ibs-Granada, Granada, Spain
| | - F García
- Hospital Universitario San Cecilio, Instituto de Investigación Ibs-Granada, Granada, Spain
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13
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Neukam K, Martínez AP, Culasso ACA, Ridruejo E, García G, Di Lello FA. NS3 genomic sequencing and phylogenetic analysis as alternative to a commercially available assay to reliably determine hepatitis C virus subtypes 1a and 1b. PLoS One 2017; 12:e0182193. [PMID: 28753662 PMCID: PMC5533332 DOI: 10.1371/journal.pone.0182193] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 07/13/2017] [Indexed: 01/05/2023] Open
Abstract
OBJECTIVE To evaluate the use of hepatitis C virus (HCV) NS3 sequencing as alternative to the comercially available Versant HCV 2.0 reverse hybridization line-probe assay (LiPA 2.0) to determine HCV genotype 1 (HCV-1) subtypes. PATIENTS AND METHODS A cohort of 104 patients infected by HCV-1 according to LiPA 2.0 was analyzed in a cross-sectional study conducted in patients seen from January 2012 to June 2016 at an outpatient clinic in Buenos Aires, Argentina. RESULTS The samples were included within well supported subtype clades: 64 with HCV-1b and 39 with HCV-1a infection. Twenty of the HCV-1a infected patientes were included in a supported sub-clade "1" and 19 individuals were among the basal sub-clade "2". LiPA 2.0 failed to subtype HCV-1 in 20 (19.2%) individuals. Subtype classification determined by NS3 direct sequencing showed that 2/18 (11.1%) of the HCV-1a-infected patients as determined by LiPA 2.0 were in fact infected by HCV-1b. Of the HCV-1b-infected according to LiPA 2.0, 10/66 (15.2%) patients showed HCV-1a infection according to NS3 sequencing. Overall misclassification was 14.3% (κ-index for the concordance with NS3 sequencing = 0.635). One (1%) patient was erroneously genotyped as HCV-1 and was revealed as HCV genotype 4 infection. CONCLUSIONS Genomic sequencing of the HCV NS3 region represents an adequate alternative since it provides reliable genetic information. It even distinguishes between HCV-1a clades related to resistance-associated substitutions to HCV protease inhibitors, it provides reliable genetic information for genotyping/subgenotyping and simultaneously allows to determine the presence of resistance-associated substitutions to currently recommended DAAs.
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Affiliation(s)
- Karin Neukam
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Cátedra de Virología, Buenos Aires, Argentina
- Instituto de Biomedicina de Sevilla / Hospital Universitario Virgen del Rocío / CSIC / Universidad de Sevilla, Unit of Infectious Diseases, Microbiology and Preventive Medicine, Seville, Spain
- Hospital Universitario de Valme, Unit of Infectious Diseases and Mirobiology, Seville, Spain
| | - Alfredo P. Martínez
- Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno "CEMIC", Virology Section, Buenos Aires, Argentina
| | - Andrés C. A. Culasso
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Cátedra de Virología, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Ezequiel Ridruejo
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
- Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno "CEMIC", Hepatology Section, Department of Medicine, Buenos Aires, Argentina
| | - Gabriel García
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Cátedra de Virología, Buenos Aires, Argentina
| | - Federico A. Di Lello
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Cátedra de Virología, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
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14
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Walker A, Bergmann M, Camdereli J, Kaiser R, Lübke N, Timm J. A genotype independent, full-genome reverse-transcription protocol for HCV genotyping and resistance testing. J Clin Virol 2017; 91:42-48. [DOI: 10.1016/j.jcv.2017.04.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 03/31/2017] [Accepted: 04/06/2017] [Indexed: 12/13/2022]
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15
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6 HCV Genotyping 9G test for HCV 1a, 1b, 2, 3, 4 and 6 (6a, 6f, 6i and 6n) with high accuracy. J Virol Methods 2017; 246:95-99. [PMID: 28456667 DOI: 10.1016/j.jviromet.2017.04.017] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 04/26/2017] [Accepted: 04/26/2017] [Indexed: 12/27/2022]
Abstract
According to EASL guidelines and WHO recommendations, the accurate detection of HCV genotypes such as HCV 1a, HCV1b, HCV 2, HCV 3, HCV 4, and HCV 6 (6a, 6f, 6i, 6n) is crucial for the efficient treatment of hepatitis C. HCV Genotyping 9G test allows simultaneous genotyping of HCV 1a, 1b, 2, 3, 4, and 6 (6a, 6f, 6i, and 6n) in clinical samples in 30min. The performance of the test was evaluated by comparison with sequence analysis. Serum samples (n=152) from HCV-infected patients (n=110) and healthy individuals (n=42) were processed under blinded codes. The k coefficient (kappa) values indicated high agreement between the HCV Genotyping 9G test and sequencing. The sensitivity and specificity of the test were 99.1% and 99.7%, respectively. The results indicate that HCV Genotyping 9G test is rapid, reliable, sensitive, and accurate for screening and genotyping of HCV in the clinical specimens.
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16
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Evaluation of the Abbott RealTime HCV genotype II plus RUO (PLUS) assay with reference to core and NS5B sequencing. J Clin Virol 2017; 90:26-31. [PMID: 28324789 DOI: 10.1016/j.jcv.2017.03.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Revised: 02/22/2017] [Accepted: 03/07/2017] [Indexed: 02/05/2023]
Abstract
BACKGROUND HCV genotyping remains a critical tool for guiding initiation of therapy and selecting the most appropriate treatment regimen. Current commercial genotyping assays may have difficulty identifying 1a, 1b and genotype 6. OBJECTIVE To evaluate the concordance for identifying 1a, 1b, and genotype 6 between two methods: the PLUS assay and core/NS5B sequencing. STUDY DESIGN This study included 236 plasma and serum samples previously genotyped by core/NS5B sequencing. Of these, 25 samples were also previously tested by the Abbott RealTime HCV GT II Research Use Only (RUO) assay and yielded ambiguous results. The remaining 211 samples were routine genotype 1 (n=169) and genotype 6 (n=42). Genotypes obtained from sequence data were determined using a laboratory-developed HCV sequence analysis tool and the NCBI non-redundant database. RESULTS Agreement between the PLUS assay and core/NS5B sequencing for genotype 1 samples was 95.8% (162/169), with 96% (127/132) and 95% (35/37) agreement for 1a and 1b samples respectively. PLUS results agreed with core/NS5B sequencing for 83% (35/42) of unselected genotype 6 samples, with the remaining seven "not detected" by the PLUS assay. Among the 25 samples with ambiguous GT II results, 15 were concordant by PLUS and core/NS5B sequencing, nine were not detected by PLUS, and one sample had an internal control failure. CONCLUSIONS The PLUS assay is an automated method that identifies 1a, 1b and genotype 6 with good agreement with gold-standard core/NS5B sequencing and can aid in the resolution of certain genotype samples with ambiguous GT II results.
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17
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Olmstead AD, Lee TD, Chow R, Gunadasa K, Auk B, Krajden M, Jassem AN. Development and validation of a real-time, reverse transcription PCR assay for rapid and low-cost genotyping of hepatitis C virus genotypes 1a, 1b, 2, and 3a. J Virol Methods 2017; 244:17-22. [PMID: 28219761 DOI: 10.1016/j.jviromet.2017.02.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Revised: 02/10/2017] [Accepted: 02/10/2017] [Indexed: 12/17/2022]
Abstract
Hepatitis C virus (HCV) infection affects millions of people and leads to liver fibrosis, cirrhosis, and hepatocellular carcinoma. Treatment regimen selection requires HCV genotype (Gt) and Gt 1 subtype determination. Use of a laboratory developed, reverse transcription (RT)-PCR assay was explored as a low-cost, high-throughput screening approach for the major HCV genotypes and subtypes in North America. A commercial line probe assay (LiPA) was used for comparison. Sequencing and/or an alternative PCR assay were used for discordant analyses. Testing of 155 clinical samples revealed that a paired, duplex real-time RT-PCR assay that targets Gts 1a and 3a in one reaction and Gts 1b and 2 in another had 95% overall sensitivity and individual Gt sensitivity and specificity of 98-100% and 85-98%, respectively. The RT-PCR assay detected mixed HCV Gts in clinical and spiked samples and no false-positive reactions occurred with rare Gts 3b, 4, 5, or 6. Implementation of the RT-PCR assay, with some reflex LiPA testing, would cost only a small portion of the cost of using LiPA alone, and can also save 1.5h of hands-on time. The use of a laboratory developed RT-PCR assay for HCV genotyping has the potential to reduce cost and labour burdens in high-volume testing settings.
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Affiliation(s)
- Andrea D Olmstead
- University of British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
| | - Tracy D Lee
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, Vancouver, British Columbia, Canada
| | - Ron Chow
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, Vancouver, British Columbia, Canada
| | - Kingsley Gunadasa
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, Vancouver, British Columbia, Canada
| | - Brian Auk
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, Vancouver, British Columbia, Canada
| | - Mel Krajden
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, Vancouver, British Columbia, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Agatha N Jassem
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, Vancouver, British Columbia, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
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18
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Nieto-Aponte L, Quer J, Ruiz-Ripa A, Tabernero D, Gonzalez C, Gregori J, Vila M, Asensio M, Garcia-Cehic D, Ruiz G, Chen Q, Ordeig L, Llorens M, Saez M, Esteban JI, Esteban R, Buti M, Pumarola T, Rodriguez-Frias F. Assessment of a Novel Automatic Real-Time PCR Assay on the Cobas 4800 Analyzer as a Screening Platform for Hepatitis C Virus Genotyping in Clinical Practice: Comparison with Massive Sequencing. J Clin Microbiol 2017; 55:504-509. [PMID: 27927921 PMCID: PMC5277520 DOI: 10.1128/jcm.01960-16] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Accepted: 11/14/2016] [Indexed: 02/06/2023] Open
Abstract
The unequivocal identification of hepatitis C virus (HCV) subtypes 1a/1b and genotypes 2 to 6 is required for optimizing the effectiveness of interferon-free, direct-acting antiviral therapies. We compared the performance of a new real-time HCV genotyping assay used on the Cobas 4800 system (C4800) with that of high-resolution HCV subtyping (HRCS). In total, 502 samples were used, including 184 samples from chronic HCV patients (from routine laboratory activity during April 2016), 5 stored samples with double HCV genotype infections for testing the limitations of the method, and 313 samples from a screening protocol implemented in our hospital (from May to August 2016) based on the new method to further determine its genotyping accuracy. A total of 282 samples, including 171 from April 2016 (the 13 remaining had too low of a viral load for HRCS), 5 selected with double infections, and 106 from screening, were analyzed by both methods, and 220 were analyzed only by the C4800. The C4800 correctly subtyped 125 of 126 1a/1b samples, and the 1 remaining sample was reported as genotype 1. The C4800 correctly genotyped 38 of 45 non-1a/1b samples (classified by HRCS), and it reported the remaining 7 samples as indeterminate. One hundred two of 106 non-1a/1b genotype samples that were identified using the C4800 for screening were confirmed by HRCS. In the 4 remaining samples, 3 were correctly reported as genotype 1 (without defining the subtype) and 1 was reported as indeterminate. None of the samples were misgenotyped. Four of 7 samples with double HCV infections were correctly genotyped by the C4800. Excluding the 5 selected double-infected samples, the C4800 showed 95.7% concordant results for genotyping HCVs 2 to 6 and 1a/1b subtyping, and 99.2% concordance for subtyping 1a/1b single infections in clinical samples. To improve laboratory workflow, we propose using the C4800 as a first-line test for HCV genotyping and 1a/1b classification, followed by transferring non-1a/1b samples to a center where HRCS is available, if further characterization is needed.
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Affiliation(s)
- Leonardo Nieto-Aponte
- Liver Pathology Unit, Departments of Biochemistry and Microbiology, Hospital Universitari Vall d'Hebron (HUVH), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Josep Quer
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
- Viral Hepatitis Laboratory, Liver Unit-Internal Medicine, Vall d'Hebron Research Institute (VHIR), Hospital Universitari Vall d'Hebron (HUVH), Barcelona, Spain
| | - Alicia Ruiz-Ripa
- Liver Pathology Unit, Departments of Biochemistry and Microbiology, Hospital Universitari Vall d'Hebron (HUVH), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
| | - David Tabernero
- Liver Pathology Unit, Departments of Biochemistry and Microbiology, Hospital Universitari Vall d'Hebron (HUVH), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
| | - Carolina Gonzalez
- Liver Pathology Unit, Departments of Biochemistry and Microbiology, Hospital Universitari Vall d'Hebron (HUVH), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Josep Gregori
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
- Viral Hepatitis Laboratory, Liver Unit-Internal Medicine, Vall d'Hebron Research Institute (VHIR), Hospital Universitari Vall d'Hebron (HUVH), Barcelona, Spain
- Roche Diagnostics SL, Sant Cugat del Vallès, Spain
| | - Marta Vila
- Liver Pathology Unit, Departments of Biochemistry and Microbiology, Hospital Universitari Vall d'Hebron (HUVH), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Miriam Asensio
- Liver Pathology Unit, Departments of Biochemistry and Microbiology, Hospital Universitari Vall d'Hebron (HUVH), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Damir Garcia-Cehic
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
- Viral Hepatitis Laboratory, Liver Unit-Internal Medicine, Vall d'Hebron Research Institute (VHIR), Hospital Universitari Vall d'Hebron (HUVH), Barcelona, Spain
| | - Gerardo Ruiz
- Liver Pathology Unit, Departments of Biochemistry and Microbiology, Hospital Universitari Vall d'Hebron (HUVH), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Qian Chen
- Viral Hepatitis Laboratory, Liver Unit-Internal Medicine, Vall d'Hebron Research Institute (VHIR), Hospital Universitari Vall d'Hebron (HUVH), Barcelona, Spain
| | - Laura Ordeig
- Viral Hepatitis Laboratory, Liver Unit-Internal Medicine, Vall d'Hebron Research Institute (VHIR), Hospital Universitari Vall d'Hebron (HUVH), Barcelona, Spain
| | - Meritxell Llorens
- Viral Hepatitis Laboratory, Liver Unit-Internal Medicine, Vall d'Hebron Research Institute (VHIR), Hospital Universitari Vall d'Hebron (HUVH), Barcelona, Spain
| | - Montserrat Saez
- Liver Pathology Unit, Departments of Biochemistry and Microbiology, Hospital Universitari Vall d'Hebron (HUVH), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Juan I Esteban
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
- Liver Unit, Hospital Universitari Vall d'Hebron (HUVH), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Rafael Esteban
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
- Liver Unit, Hospital Universitari Vall d'Hebron (HUVH), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Maria Buti
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
- Liver Unit, Hospital Universitari Vall d'Hebron (HUVH), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Tomas Pumarola
- Microbiology Department, Hospital Universitari Vall d'Hebron (HUVH), Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Francisco Rodriguez-Frias
- Liver Pathology Unit, Departments of Biochemistry and Microbiology, Hospital Universitari Vall d'Hebron (HUVH), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
- Viral Hepatitis Laboratory, Liver Unit-Internal Medicine, Vall d'Hebron Research Institute (VHIR), Hospital Universitari Vall d'Hebron (HUVH), Barcelona, Spain
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19
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Polilli E, Cento V, Restelli U, Ceccherini-Silberstein F, Aragri M, Di Maio VC, Sciacca A, Santoleri F, Fazii P, Costantini A, Perno CF, Parruti G. Consequences of inaccurate hepatitis C virus genotyping on the costs of prescription of direct antiviral agents in an Italian district. CLINICOECONOMICS AND OUTCOMES RESEARCH 2016; 8:467-473. [PMID: 27695353 PMCID: PMC5028103 DOI: 10.2147/ceor.s106238] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Available commercial assays may yield inaccurate hepatitis C virus (HCV) genotype assignment in up to 10% of cases. We investigated the cost-effectiveness of re-evaluating HCV genotype by population sequencing, prior to choosing a direct acting antiviral (DAA) regimen. Between March and September 2015, HCV sequence analysis was performed in order to confirm commercial LiPA-HCV genotype (Versant® HCV Genotype 2.0) in patients eligible for treatment with DAAs. Out of 134 consecutive patients enrolled, sequencing yielded 21 (15.7%) cases of discordant results. For three cases of wrong genotype assignment, the putative reduction in efficacy was gauged between 15% and 40%. Among the eight cases for whom G1b was assigned by commercial assays instead of G1a, potentially suboptimal treatments would have been prescribed. Finally, for five patients with G1 and indeterminate subtype, the choice of regimens would have targeted the worst option, with a remarkable increase in costs, as in the case of the four mixed HCV infections for whom pan-genotypic regimens would have been mandatory. Precise assignment of HCV genotype and subtype by sequencing may, therefore, be more beneficial than expected, until more potent pan-genotypic regimens are available for all patients.
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Affiliation(s)
- Ennio Polilli
- Infectious Diseases Unit, Pescara General Hospital, Pescara
| | - Valeria Cento
- Department of Experimental Medicine and Surgery, University of Rome "Tor Vergata", Rome
| | - Umberto Restelli
- CREMS - Centre for Research on Health Economics, Social and Health Care Management, Carlo Cattaneo - LIUC University, Castellanza, Italy; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Marianna Aragri
- Department of Experimental Medicine and Surgery, University of Rome "Tor Vergata", Rome
| | - Velia Chiara Di Maio
- Department of Experimental Medicine and Surgery, University of Rome "Tor Vergata", Rome
| | | | | | - Paolo Fazii
- Microbiology and Virology Unit, Pescara General Hospital, Pescara, Italy
| | | | - Carlo Federico Perno
- Department of Experimental Medicine and Surgery, University of Rome "Tor Vergata", Rome
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Sequencing Analysis of NS3/4A, NS5A, and NS5B Genes from Patients Infected with Hepatitis C Virus Genotypes 5 and 6. J Clin Microbiol 2016; 54:1835-1841. [PMID: 27147726 DOI: 10.1128/jcm.00238-16] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2016] [Accepted: 04/29/2016] [Indexed: 12/28/2022] Open
Abstract
Direct-acting antivirals (DAAs) with activity against multiple genotypes of the hepatitis C virus (HCV) were recently developed and approved for standard-of-care treatment. However, sequencing assays to support HCV genotype 5 and 6 analysis are not widely available. Here, we describe the development of a sequencing assay for the NS3/4A, NS5A, and NS5B genes from HCV genotype 5 and 6 patient isolates. Genotype- and subtype-specific primers were designed to target NS3/4A, NS5A, and NS5B for cDNA synthesis and nested PCR amplification. Amplification was successfully performed for a panel of 32 plasma samples from HCV-infected genotype 5 and 6 patients with sequencing data obtained for all attempted samples. LiPA 2.0 (Versant HCV genotype 2.0) is a reverse hybridization line probe assay that is commonly used for genotyping HCV-infected patients enrolled in clinical studies. Using NS3/4A, NS5A, and NS5B consensus sequences, HCV subtypes were determined that were not available for the initial LiPA 2.0 result for genotype 6 samples. Samples amplified here included the following HCV subtypes: 5a, 6a, 6e, 6f, 6j, 6i, 6l, 6n, 6o, and 6p. The sequencing data generated allowed for the determination of the presence of variants at amino acid positions previously characterized as associated with resistance to DAAs. The simple and robust sequencing assay for genotypes 5 and 6 presented here may lead to a better understanding of HCV genetic diversity and prevalence of resistance-associated variants.
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Using NS5B Sequencing for Hepatitis C Virus Genotyping Reveals Discordances with Commercial Platforms. PLoS One 2016; 11:e0153754. [PMID: 27097040 PMCID: PMC4838212 DOI: 10.1371/journal.pone.0153754] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2015] [Accepted: 04/04/2016] [Indexed: 12/17/2022] Open
Abstract
We aimed to evaluate the correct assignment of HCV genotypes by three commercial methods-Trugene HCV genotyping kit (Siemens), VERSANT HCV Genotype 2.0 assay (Siemens), and Real-Time HCV genotype II (Abbott)-compared to NS5B sequencing. We studied 327 clinical samples that carried representative HCV genotypes of the most frequent geno/subtypes in Spain. After commercial genotyping, the sequencing of a 367 bp fragment in the NS5B gene was used to assign genotypes. Major discrepancies were defined, e.g. differences in the assigned genotype by one of the three methods and NS5B sequencing, including misclassification of subtypes 1a and 1b. Minor discrepancies were considered when differences at subtype levels, other than 1a and 1b, were observed. The overall discordance with the reference method was 34% for Trugene and 15% for VERSANT HCV2.0. The Abbott assay correctly identified all 1a and 1b subtypes, but did not subtype all the 2, 3, 4 and 5 (34%) genotypes. Major discordances were found in 16% of cases for Trugene HCV, and the majority were 1b- to 1a-related discordances; major discordances were found for VERSANT HCV 2.0 in 6% of cases, which were all but one 1b to 1a cases. These results indicated that the Trugene assay especially, and to a lesser extent, Versant HCV 2.0, can fail to differentiate HCV subtypes 1a and 1b, and lead to critical errors in clinical practice for correctly using directly acting antiviral agents.
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22
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Di Maio VC, Cento V, Di Paolo D, Aragri M, De Leonardis F, Tontodonati M, Micheli V, Bellocchi MC, Antonucci FP, Bertoli A, Lenci I, Milana M, Gianserra L, Melis M, Di Biagio A, Sarrecchia C, Sarmati L, Landonio S, Francioso S, Lambiase L, Nicolini LA, Marenco S, Nosotti L, Giannelli V, Siciliano M, Romagnoli D, Pellicelli A, Vecchiet J, Magni CF, Babudieri S, Mura MS, Taliani G, Mastroianni C, Vespasiani-Gentilucci U, Romano M, Morisco F, Gasbarrini A, Vullo V, Bruno S, Baiguera C, Pasquazzi C, Tisone G, Picciotto A, Andreoni M, Parruti G, Rizzardini G, Angelico M, Perno CF, Ceccherini-Silberstein F. HCV NS3 sequencing as a reliable and clinically useful tool for the assessment of genotype and resistance mutations for clinical samples with different HCV-RNA levels. J Antimicrob Chemother 2016; 71:739-750. [PMID: 26679249 DOI: 10.1093/jac/dkv403] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2015] [Accepted: 10/29/2015] [Indexed: 01/13/2025] Open
Abstract
OBJECTIVES This study aims to evaluate the reliability and clinical utility of NS3 sequencing in hepatitis C virus (HCV) 1-infected patients who were candidates to start a PI-containing regimen. METHODS NS3 protease sequencing was performed by in-house-developed HCV-1 subtype-specific protocols. Phylogenetic analysis was used to test sequencing reliability and concordance with previous genotype/subtype assignment by commercial genotyping assays. RESULTS Five hundred and sixty-seven HCV plasma samples with quantifiable HCV-RNA from 326 HCV-infected patients were collected between 2011 and 2014. Overall, the success rate of NS3 sequencing was 88.9%. The success rate between the two subtype protocols (HCV-1a/HCV-1b) was similarly high for samples with HCV-RNA >3 log IU/mL (>92% success rate), while it was slightly lower for HCV-1a samples with HCV-RNA ≤3 log IU/mL compared with HCV-1b samples. Phylogenetic analysis confirmed the genotype/subtype given by commercial genotyping assays in 92.9% (303/326) of cases analysed. In the remaining 23 cases (7.1%), 1 was HCV-1g (previously defined as subtype 1a), 1 was HCV-4d (previously defined as genotype 1b) and 1 was HCV-1b (previously defined as genotype 2a/2c). In the other cases, NS3 sequencing precisely resolved the either previous undetermined/discordant subtype 1 or double genotype/subtype assignment by commercial genotyping assays. Resistance-associated variants (RAVs) to PI were detected in 31.0% of samples. This prevalence changed according to PI experience (17.1% in PI-naive patients versus 79.2% in boceprevir/telaprevir/simeprevir-failing patients). Among 96 patients with available virological outcome following boceprevir/telaprevir treatment, a trend of association between baseline NS3 RAVs and virological failure was observed (particularly for HCV-1a-infected patients: 3/21 failing patients versus 0/22 achieving sustained virological response; P = 0.11). CONCLUSIONS HCV-NS3 sequencing provides reliable results and at the same time gives two clinically relevant pieces of information: a correct subtype/genotype assignment and the detection of variants that may interfere with the efficacy of PI.
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Affiliation(s)
- V C Di Maio
- Department of Experimental Medicine and Surgery, University of Rome 'Tor Vergata', Rome, Italy
| | - V Cento
- Department of Experimental Medicine and Surgery, University of Rome 'Tor Vergata', Rome, Italy
| | - D Di Paolo
- Hepatology Unit, University Hospital of Rome 'Tor Vergata', Rome, Italy
| | - M Aragri
- Department of Experimental Medicine and Surgery, University of Rome 'Tor Vergata', Rome, Italy
| | - F De Leonardis
- Hepatology Unit, University Hospital of Rome 'Tor Vergata', Rome, Italy
| | - M Tontodonati
- Infectious Disease Unit, Pescara General Hospital, Pescara, Italy
| | - V Micheli
- Unit of Microbiology, Hospital Sacco of Milan, Milan, Italy
| | - M C Bellocchi
- Department of Experimental Medicine and Surgery, University of Rome 'Tor Vergata', Rome, Italy
| | - F P Antonucci
- Department of Experimental Medicine and Surgery, University of Rome 'Tor Vergata', Rome, Italy
| | - A Bertoli
- Department of Experimental Medicine and Surgery, University of Rome 'Tor Vergata', Rome, Italy
| | - I Lenci
- Hepatology Unit, University Hospital of Rome 'Tor Vergata', Rome, Italy
| | - M Milana
- Hepatology Unit, University Hospital of Rome 'Tor Vergata', Rome, Italy
| | - L Gianserra
- Infectious Diseases, Sant'Andrea Hospital-'La Sapienza' University, Rome, Italy
| | - M Melis
- Infectious Diseases Unit, Department of Clinical and Experimental Medicine, University of Sassari, Sassari, Italy
| | - A Di Biagio
- Infectious Diseases Unit, Department of Social Health (DISSAL) of the University of Genoa, IRCCS S. Martino-IST, Genova, Italy
| | - C Sarrecchia
- Infectious Disease, University Hospital of Rome 'Tor Vergata', Rome, Italy
| | - L Sarmati
- Infectious Disease, University Hospital of Rome 'Tor Vergata', Rome, Italy
| | - S Landonio
- Division of Infectious Disease, Hospital Sacco of Milan, Milan, Italy
| | - S Francioso
- Hepatology Unit, University Hospital of Rome 'Tor Vergata', Rome, Italy
| | - L Lambiase
- Infectious Diseases, Sant'Andrea Hospital-'La Sapienza' University, Rome, Italy
| | - L A Nicolini
- Infectious Diseases Unit, Department of Social Health (DISSAL) of the University of Genoa, IRCCS S. Martino-IST, Genova, Italy
| | - S Marenco
- Department of Internal Medicine, Gastroenterology Unit, University of Genova, Genova, Italy
| | - L Nosotti
- Hepatology Unit, National Institute of Health, Migration and Poverty, Rome, Italy
| | - V Giannelli
- Gastroenterology Unit, Department of Clinical Medicine, 'La Sapienza' University, Rome, Italy
| | - M Siciliano
- Gastroenterology, Catholic University of Rome, Rome, Italy
| | - D Romagnoli
- Department of Biomedical, Metabolic and Neural Sciences, NOCSAE Baggiovara, Modena, Italy
| | - A Pellicelli
- Hepatology Unit, San Camillo Forlanini Hospital, Rome, Italy
| | - J Vecchiet
- Infectious Disease Clinic, Chieti, Italy
| | - C F Magni
- Division of Infectious Disease, Hospital Sacco of Milan, Milan, Italy
| | - S Babudieri
- Infectious Diseases Unit, Department of Clinical and Experimental Medicine, University of Sassari, Sassari, Italy
| | - M S Mura
- Infectious Diseases Unit, Department of Clinical and Experimental Medicine, University of Sassari, Sassari, Italy
| | - G Taliani
- Department of Clinical Medicine, Policlinico Umberto I, 'Sapienza' University of Rome, Rome, Italy
| | - C Mastroianni
- Department of Infectious Diseases, University of Rome 'Sapienza' (Polo Pontino), Latina, Italy
| | | | - M Romano
- S. Pertini Hospital, Rome, Italy
| | - F Morisco
- Università 'Federico II', Naples, Italy
| | - A Gasbarrini
- Gastroenterology, Catholic University of Rome, Rome, Italy
| | - V Vullo
- Department of Public Health and Infectious Diseases, University of Rome 'Sapienza', Rome, Italy
| | - S Bruno
- Department of Internal Medicine, Humanitas University, Rozzano, Milan, Italy
| | - C Baiguera
- Hospital Niguarda Ca'Granda, Milan, Italy
| | - C Pasquazzi
- Infectious Diseases, Sant'Andrea Hospital-'La Sapienza' University, Rome, Italy
| | - G Tisone
- Liver Transplant Centre, Tor Vergata University, Rome, Italy
| | - A Picciotto
- Department of Internal Medicine, Gastroenterology Unit, University of Genova, Genova, Italy
| | - M Andreoni
- Infectious Disease, University Hospital of Rome 'Tor Vergata', Rome, Italy
| | - G Parruti
- Infectious Disease Unit, Pescara General Hospital, Pescara, Italy
| | - G Rizzardini
- Division of Infectious Disease, Hospital Sacco of Milan, Milan, Italy
| | - M Angelico
- Hepatology Unit, University Hospital of Rome 'Tor Vergata', Rome, Italy
| | - C F Perno
- Department of Experimental Medicine and Surgery, University of Rome 'Tor Vergata', Rome, Italy Molecular Virology Unit, University Hospital of Rome 'Tor Vergata', Rome, Italy
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Trémeaux P, Caporossi A, Ramière C, Santoni E, Tarbouriech N, Thélu MA, Fusillier K, Geneletti L, François O, Leroy V, Burmeister WP, André P, Morand P, Larrat S. Amplification and pyrosequencing of near-full-length hepatitis C virus for typing and monitoring antiviral resistant strains. Clin Microbiol Infect 2016; 22:460.e1-460.e10. [PMID: 26827671 DOI: 10.1016/j.cmi.2016.01.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2015] [Revised: 01/04/2016] [Accepted: 01/17/2016] [Indexed: 12/16/2022]
Abstract
Directly acting antiviral drugs have contributed considerable progress to hepatitis C virus (HCV) treatment, but they show variable activity depending on virus genotypes and subtypes. Therefore, accurate genotyping including recombinant form detection is still of major importance, as is the detection of resistance-associated mutations in case of therapeutic failure. To meet these goals, an approach to amplify the HCV near-complete genome with a single long-range PCR and sequence it with Roche GS Junior was developed. After optimization, the overall amplification success rate was 73% for usual genotypes (i.e. HCV 1a, 1b, 3a and 4a, 16/22) and 45% for recombinant forms RF_2k/1b (5/11). After pyrosequencing and subsequent de novo assembly, a near-full-length genomic consensus sequence was obtained for 19 of 21 samples. The genotype and subtype were confirmed by phylogenetic analysis for every sample, including the suspected recombinant forms. Resistance-associated mutations were detected in seven of 13 samples at baseline, in the NS3 (n = 3) or NS5A (n = 4) region. Of these samples, the treatment of one patient included daclatasvir, and that patient experienced a relapse. Virus sequences from pre- and posttreatment samples of four patients who experienced relapse after sofosbuvir-based therapy were compared: the selected variants seem too far from the NS5B catalytic site to be held responsible. Although tested on a limited set of samples and with technical improvements still necessary, this assay has proven to be successful for both genotyping and resistance-associated variant detection on several HCV types.
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Affiliation(s)
- P Trémeaux
- Laboratoire de Virologie, Institut de Biologie et Pathologie, Grenoble, France; UVHCI, Grenoble, France; Institut de Biologie Structurale (IBS), CEA, CNRS, University Grenoble Alpes, Grenoble, France
| | - A Caporossi
- Laboratoire de Virologie, Institut de Biologie et Pathologie, Grenoble, France; Centre d'investigation clinique, Santé publique, UJF-CNRS, Grenoble, France; Laboratoire TIMC-IMAG, UMR 5525, Université de Grenoble Alpes, Grenoble, France
| | - C Ramière
- Laboratoire de Virologie, Hôpital de la Croix-Rousse, Hospices Civils de Lyon, Lyon, France
| | - E Santoni
- Laboratoire de Virologie, Institut de Biologie et Pathologie, Grenoble, France
| | - N Tarbouriech
- UVHCI, Grenoble, France; Institut de Biologie Structurale (IBS), CEA, CNRS, University Grenoble Alpes, Grenoble, France
| | - M-A Thélu
- Laboratoire de Virologie, Hôpital de la Croix-Rousse, Hospices Civils de Lyon, Lyon, France
| | - K Fusillier
- Laboratoire de Virologie, Institut de Biologie et Pathologie, Grenoble, France
| | - L Geneletti
- Laboratoire de Virologie, Institut de Biologie et Pathologie, Grenoble, France
| | - O François
- Laboratoire TIMC-IMAG, UMR 5525, Université de Grenoble Alpes, Grenoble, France
| | - V Leroy
- Service d'Hépato-Gastroentérologie, CHU de Grenoble, Grenoble, France
| | - W P Burmeister
- UVHCI, Grenoble, France; Institut de Biologie Structurale (IBS), CEA, CNRS, University Grenoble Alpes, Grenoble, France
| | - P André
- Laboratoire de Virologie, Hôpital de la Croix-Rousse, Hospices Civils de Lyon, Lyon, France
| | - P Morand
- Laboratoire de Virologie, Institut de Biologie et Pathologie, Grenoble, France; UVHCI, Grenoble, France; Institut de Biologie Structurale (IBS), CEA, CNRS, University Grenoble Alpes, Grenoble, France
| | - S Larrat
- Laboratoire de Virologie, Institut de Biologie et Pathologie, Grenoble, France; UVHCI, Grenoble, France; Institut de Biologie Structurale (IBS), CEA, CNRS, University Grenoble Alpes, Grenoble, France.
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24
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Role of Serologic and Molecular Diagnostic Assays in Identification and Management of Hepatitis C Virus Infection. J Clin Microbiol 2015; 54:265-73. [PMID: 26659219 PMCID: PMC4733206 DOI: 10.1128/jcm.02407-15] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
The drugs available for the treatment of hepatitis C virus (HCV) have evolved to provide shorter treatment duration and higher rates of sustained virologic response (SVR), and the role of HCV infection diagnostic tests has had to evolve in order to meet changing clinical needs. This review gives an overview on the role of HCV infection diagnostic testing (molecular and serological tools) used in the diagnosis and management of HCV infection. All of this critical information guides physician decisions to optimize patient clinical outcomes. Also discussed is the future direction of diagnostic testing in the context of further advances in drug development.
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25
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Tong YQ, Liu B, Liu H, Zheng HY, Gu J, Liu H, Song EJ, Song C, Li Y. Accurate genotyping of hepatitis C virus through nucleotide sequencing and identification of new HCV subtypes in China population. Clin Microbiol Infect 2015; 21:874.e9-874.e21. [PMID: 26055416 DOI: 10.1016/j.cmi.2015.05.034] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Revised: 05/10/2015] [Accepted: 05/26/2015] [Indexed: 12/21/2022]
Abstract
Nucleotide sequencing of the phylogenetically informative region of NS5B remains the gold standard for hepatitis C virus (HCV) genotyping. Here we developed a new methodology for sequencing new NS5B regions to increase the accuracy and sensitivity of HCV genotyping and subtyping. The eight new primers were identified by scanning the full-length NS5B regions from 1127 HCV genomic sequences found in HCV databases. The ability of each pair of primers to amplify HCV subtypes was scored, and the new primers were able to amplify the NS5B region better than the previously used primers, therefore more accurately subtyping HCV strains. Sequencing the DNA amplified by the new primer pairs can specifically and correctly detect the five standard HCV subtypes (1a, 2a, 3b, 6a and 1b). We further examined patient samples and found that the new primers were able to identify HCV subtypes in clinical samples with high sensitivity. This method was able to detect all subtypes of HCV in 567 clinical samples. Importantly, three novel HCV subtypes (1b-2a, 1b-2k and 6d-6k) were identified in the samples, which have not been previous reported in China. In conclusion, sequencing the NS5B region amplified by the new NS5B primers is a more reliable method of HCV genotyping and a more sensitive diagnostic tool than sequencing using the previously described primers, and could identify new HCV subtypes. Our research is useful for clinical diagnosis, guidance of clinical treatment, management of clinical patients, and studies on the epidemiology of HCV.
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Affiliation(s)
- Y-Q Tong
- Department of Clinical Laboratory, China; Clinical Molecular Diagnostic Centre, Renmin Hospital of Wuhan University, Wuhan, China
| | - B Liu
- Department of Pathology, Affiliated Tianyou Hospital of Wuhan University of Science and Technology, Wuhan, China
| | - H Liu
- Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China
| | - H-Y Zheng
- Clinical Molecular Diagnostic Centre, Renmin Hospital of Wuhan University, Wuhan, China
| | - J Gu
- Department of Clinical Laboratory, China
| | - H Liu
- Clinical Molecular Diagnostic Centre, Renmin Hospital of Wuhan University, Wuhan, China
| | - E J Song
- Pennsylvania State University College of Medicine and Hershey Medical Center, Hershey, PA, USA
| | - C Song
- Pennsylvania State University College of Medicine and Hershey Medical Center, Hershey, PA, USA.
| | - Y Li
- Department of Clinical Laboratory, China; Clinical Molecular Diagnostic Centre, Renmin Hospital of Wuhan University, Wuhan, China.
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Mukherjee R, Burns A, Rodden D, Chang F, Chaum M, Garcia N, Bollipalli N, Niemz A. Diagnosis and Management of Hepatitis C Virus Infection. ACTA ACUST UNITED AC 2015; 20:519-38. [PMID: 25609256 DOI: 10.1177/2211068214563794] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Indexed: 01/03/2023]
Abstract
The hepatitis C virus (HCV) infects more than 200 million people globally, with increasing incidence, especially in developing countries. HCV infection frequently progresses to chronic liver disease, creating a heavy economic burden on resource-poor countries and lowering patient quality of life. Effective HCV diagnosis, treatment selection, and treatment monitoring are important in stopping disease progression. Serological assays, which detect anti-HCV antibodies in the patient after seroconversion, are used for initial HCV diagnosis. Qualitative and quantitative molecular assays are used to confirm initial diagnosis, determine viral load, and genotype the dominant strain. Viral load and genotype information are used to guide appropriate treatment. Various other biomarker assays are performed to assess liver function and enable disease staging. Most of these diagnostic methods are mature and routinely used in high-resource countries with well-developed laboratory infrastructure. Few technologies, however, are available that address the needs of low-resource areas with high HCV prevalence, such as Africa and Southeast Asia.
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Affiliation(s)
- Ronita Mukherjee
- Keck Graduate Institute of Applied Life Sciences, Claremont, CA, USA
| | - Andrew Burns
- Keck Graduate Institute of Applied Life Sciences, Claremont, CA, USA
| | - Diane Rodden
- Keck Graduate Institute of Applied Life Sciences, Claremont, CA, USA
| | - Frances Chang
- Keck Graduate Institute of Applied Life Sciences, Claremont, CA, USA
| | - Manita Chaum
- Keck Graduate Institute of Applied Life Sciences, Claremont, CA, USA
| | - Nancy Garcia
- Keck Graduate Institute of Applied Life Sciences, Claremont, CA, USA
| | | | - Angelika Niemz
- Keck Graduate Institute of Applied Life Sciences, Claremont, CA, USA
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27
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Quer J, Gregori J, Rodríguez-Frias F, Buti M, Madejon A, Perez-del-Pulgar S, Garcia-Cehic D, Casillas R, Blasi M, Homs M, Tabernero D, Alvarez-Tejado M, Muñoz JM, Cubero M, Caballero A, del Campo JA, Domingo E, Belmonte I, Nieto L, Lens S, Muñoz-de-Rueda P, Sanz-Cameno P, Sauleda S, Bes M, Gomez J, Briones C, Perales C, Sheldon J, Castells L, Viladomiu L, Salmeron J, Ruiz-Extremera A, Quiles-Pérez R, Moreno-Otero R, López-Rodríguez R, Allende H, Romero-Gómez M, Guardia J, Esteban R, Garcia-Samaniego J, Forns X, Esteban JI. High-resolution hepatitis C virus subtyping using NS5B deep sequencing and phylogeny, an alternative to current methods. J Clin Microbiol 2015; 53:219-26. [PMID: 25378574 PMCID: PMC4290919 DOI: 10.1128/jcm.02093-14] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Hepatitis C virus (HCV) is classified into seven major genotypes and 67 subtypes. Recent studies have shown that in HCV genotype 1-infected patients, response rates to regimens containing direct-acting antivirals (DAAs) are subtype dependent. Currently available genotyping methods have limited subtyping accuracy. We have evaluated the performance of a deep-sequencing-based HCV subtyping assay, developed for the 454/GS-Junior platform, in comparison with those of two commercial assays (Versant HCV genotype 2.0 and Abbott Real-time HCV Genotype II) and using direct NS5B sequencing as a gold standard (direct sequencing), in 114 clinical specimens previously tested by first-generation hybridization assay (82 genotype 1 and 32 with uninterpretable results). Phylogenetic analysis of deep-sequencing reads matched subtype 1 calling by population Sanger sequencing (69% 1b, 31% 1a) in 81 specimens and identified a mixed-subtype infection (1b/3a/1a) in one sample. Similarly, among the 32 previously indeterminate specimens, identical genotype and subtype results were obtained by direct and deep sequencing in all but four samples with dual infection. In contrast, both Versant HCV Genotype 2.0 and Abbott Real-time HCV Genotype II failed subtype 1 calling in 13 (16%) samples each and were unable to identify the HCV genotype and/or subtype in more than half of the non-genotype 1 samples. We concluded that deep sequencing is more efficient for HCV subtyping than currently available methods and allows qualitative identification of mixed infections and may be more helpful with respect to informing treatment strategies with new DAA-containing regimens across all HCV subtypes.
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Affiliation(s)
- Josep Quer
- Liver Unit, Internal Medicine, Lab. Malalties Hepàtiques, Vall d'Hebron Institut Recerca-Hospital Universitari Vall d'Hebron (VHIR-HUVH), Barcelona, Spain Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Josep Gregori
- Liver Unit, Internal Medicine, Lab. Malalties Hepàtiques, Vall d'Hebron Institut Recerca-Hospital Universitari Vall d'Hebron (VHIR-HUVH), Barcelona, Spain Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Roche Diagnostics SL, Barcelona, Spain
| | - Francisco Rodríguez-Frias
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Universitat Autònoma de Barcelona, Barcelona, Spain Biochemistry Unit, Virology Unit /Microbiology Department, HUVH, Barcelona, Spain
| | - Maria Buti
- Liver Unit, Internal Medicine, Lab. Malalties Hepàtiques, Vall d'Hebron Institut Recerca-Hospital Universitari Vall d'Hebron (VHIR-HUVH), Barcelona, Spain Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Antonio Madejon
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Liver Unit, Hospital La Paz-Carlos III, Madrid, Spain
| | - Sofia Perez-del-Pulgar
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Liver Unit, Hospital Clinic, IDIBAPS, Barcelona, Spain
| | - Damir Garcia-Cehic
- Liver Unit, Internal Medicine, Lab. Malalties Hepàtiques, Vall d'Hebron Institut Recerca-Hospital Universitari Vall d'Hebron (VHIR-HUVH), Barcelona, Spain Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain
| | - Rosario Casillas
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Biochemistry Unit, Virology Unit /Microbiology Department, HUVH, Barcelona, Spain
| | - Maria Blasi
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Biochemistry Unit, Virology Unit /Microbiology Department, HUVH, Barcelona, Spain
| | - Maria Homs
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Biochemistry Unit, Virology Unit /Microbiology Department, HUVH, Barcelona, Spain
| | - David Tabernero
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Biochemistry Unit, Virology Unit /Microbiology Department, HUVH, Barcelona, Spain
| | | | | | - Maria Cubero
- Liver Unit, Internal Medicine, Lab. Malalties Hepàtiques, Vall d'Hebron Institut Recerca-Hospital Universitari Vall d'Hebron (VHIR-HUVH), Barcelona, Spain Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain
| | - Andrea Caballero
- Biochemistry Unit, Virology Unit /Microbiology Department, HUVH, Barcelona, Spain
| | - Jose Antonio del Campo
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Hospital Universitario Virgen de Valme, Seville, Spain
| | - Esteban Domingo
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Centro de Biología Molecular Severo Ochoa-Universidad Autónoma de Madrid (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain
| | - Irene Belmonte
- Biochemistry Unit, Virology Unit /Microbiology Department, HUVH, Barcelona, Spain
| | - Leonardo Nieto
- Biochemistry Unit, Virology Unit /Microbiology Department, HUVH, Barcelona, Spain
| | - Sabela Lens
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Liver Unit, Hospital Clinic, IDIBAPS, Barcelona, Spain
| | - Paloma Muñoz-de-Rueda
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Hospital San Cecilio, Granada, Spain
| | - Paloma Sanz-Cameno
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Hospital de la Princesa, Madrid, Spain
| | - Silvia Sauleda
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Banc de Sang i de Teixits, Institut Català de la Salut, Barcelona, Spain
| | - Marta Bes
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Banc de Sang i de Teixits, Institut Català de la Salut, Barcelona, Spain
| | - Jordi Gomez
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain CSIC, Instituto de Parasitología y Biomedicina López Neyra, Granada, Spain
| | - Carlos Briones
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Centro de Astrobiología (CSIC-INTA), Madrid, Spain
| | - Celia Perales
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Centro de Biología Molecular Severo Ochoa-Universidad Autónoma de Madrid (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain
| | - Julie Sheldon
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Centro de Biología Molecular Severo Ochoa-Universidad Autónoma de Madrid (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain
| | - Lluis Castells
- Liver Unit, Internal Medicine, Lab. Malalties Hepàtiques, Vall d'Hebron Institut Recerca-Hospital Universitari Vall d'Hebron (VHIR-HUVH), Barcelona, Spain Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Lluis Viladomiu
- Liver Unit, Internal Medicine, Lab. Malalties Hepàtiques, Vall d'Hebron Institut Recerca-Hospital Universitari Vall d'Hebron (VHIR-HUVH), Barcelona, Spain Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain
| | - Javier Salmeron
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Hospital San Cecilio, Granada, Spain
| | - Angela Ruiz-Extremera
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Hospital San Cecilio, Granada, Spain
| | - Rosa Quiles-Pérez
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Hospital San Cecilio, Granada, Spain
| | - Ricardo Moreno-Otero
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Hospital de la Princesa, Madrid, Spain
| | - Rosario López-Rodríguez
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Hospital de la Princesa, Madrid, Spain
| | - Helena Allende
- Pathological Anatomy Department, VHIR-HUVH, Barcelona, Spain
| | - Manuel Romero-Gómez
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Hospital Universitario Virgen de Valme, Seville, Spain
| | - Jaume Guardia
- Liver Unit, Internal Medicine, Lab. Malalties Hepàtiques, Vall d'Hebron Institut Recerca-Hospital Universitari Vall d'Hebron (VHIR-HUVH), Barcelona, Spain Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Rafael Esteban
- Liver Unit, Internal Medicine, Lab. Malalties Hepàtiques, Vall d'Hebron Institut Recerca-Hospital Universitari Vall d'Hebron (VHIR-HUVH), Barcelona, Spain Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Javier Garcia-Samaniego
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Liver Unit, Hospital La Paz-Carlos III, Madrid, Spain
| | - Xavier Forns
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Liver Unit, Hospital Clinic, IDIBAPS, Barcelona, Spain
| | - Juan Ignacio Esteban
- Liver Unit, Internal Medicine, Lab. Malalties Hepàtiques, Vall d'Hebron Institut Recerca-Hospital Universitari Vall d'Hebron (VHIR-HUVH), Barcelona, Spain Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain Universitat Autònoma de Barcelona, Barcelona, Spain
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Marascio N, Torti C, Liberto M, Focà A. Update on different aspects of HCV variability: focus on NS5B polymerase. BMC Infect Dis 2014; 14 Suppl 5:S1. [PMID: 25234810 PMCID: PMC4160895 DOI: 10.1186/1471-2334-14-s5-s1] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
The study of hepatitis C virus (HCV) genotypes/subtypes, quasispecies and recombinants obtained by virus genome sequencing are important for epidemiological studies, to trace the source of infection, for development of new direct acting antivirals (DAAs) therapy and for understanding antiviral selection pressures. The HCV NS5B gene encodes a polymerase, which is responsible for virus replication and is a potential target for the development of antiviral agents. Many studies for classification of HCV use a particular segment of the NS5B gene, in addition to other specific regions, and phylogenetic analysis. Actually, some nucleoside/nucleotide analogues and non-nucleoside inhibitors target NS5B protein. This review focuses on HCV variability, phylogenetic analysis and the role of NS5B in the virus-host interactions.
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Performance comparison of the versant HCV genotype 2.0 assay (LiPA) and the abbott realtime HCV genotype II assay for detecting hepatitis C virus genotype 6. J Clin Microbiol 2014; 52:3685-92. [PMID: 25100817 DOI: 10.1128/jcm.00882-14] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
The Versant HCV genotype 2.0 assay (line probe assay [LiPA] 2.0), based on reverse hybridization, and the Abbott Realtime HCV genotype II assay (Realtime II), based on genotype-specific real-time PCR, have been widely used to analyze hepatitis C virus (HCV) genotypes. However, their performances for detecting HCV genotype 6 infections have not been well studied. Here, we analyzed genotype 6 in 63 samples from the China HCV Genotyping Study that were originally identified as genotype 6 using the LiPA 2.0. The genotyping results were confirmed by nonstructural 5B (NS5B) or core sequence phylogenetic analysis. A total of 57 samples were confirmed to be genotype 6 (51 genotype 6a, 5 genotype 6n, and 1 genotype 6e). Four samples identified as a mixture of genotypes 6 and 4 by the LiPA 2.0 were confirmed to be genotype 3b. The remaining two samples classified as genotype 6 by the LiPA 2.0 were confirmed to be genotype 1b, which were intergenotypic recombinants and excluded from further comparison. In 57 genotype 6 samples detected using the Realtime II version 2.00 assay, 47 genotype 6a samples were identified as genotype 6, one 6e sample was misclassified as genotype 1, and four 6a and five 6n samples yielded indeterminate results. Nine nucleotide profiles in the 5' untranslated region affected the performances of both assays. Therefore, our analysis shows that both assays have limitations in identifying HCV genotype 6. The LiPA 2.0 cannot distinguish some 3b samples from genotype 6 samples. The Realtime II assay fails to identify some 6a and all non-6a subtypes, and it misclassifies genotype 6e as genotype 1.
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de Carvalho IMVG, Alves R, de Souza PAVM, da Silva EF, Mazo D, Carrilho FJ, Queiroz ATL, Pessoa MG. Protease inhibitor resistance mutations in untreated Brazilian patients infected with HCV: novel insights about targeted genotyping approaches. J Med Virol 2014; 86:1714-21. [PMID: 25042789 DOI: 10.1002/jmv.24015] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/09/2014] [Indexed: 12/11/2022]
Abstract
Several new direct-acting antiviral (DAA) drugs are being developed or are already approved for the treatment of chronic hepatitis C virus (HCV) infection. HCV variants presenting drug-resistant phenotypes were observed both in vitro and during clinical trials. The aim of this study was to characterize amino acid changes at positions previously associated with resistance in the NS3 protease in untreated Brazilian patients infected with HCV genotypes 1a and 1b. Plasma samples from 171 untreated Brazilian patients infected with HCV were obtained from the Department of Gastroenterology of Clinics Hospital (HCFMUSP) in São Paulo, Brazil. Nested PCR and Sanger sequencing were used to obtain genetic information on the NS3 protein. Bioinformatics was used to confirm subtype information and analyze frequencies of resistance mutations. The results from the genotype analysis using non-NS3 targeted methods were at variance with those obtained from the NS3 protease phylogenetic analyses. It was found that 7.4% of patients infected with HCV genotype 1a showed the resistance-associated mutations V36L, T54S, Q80K, and R155K, while 5.1% of patients infected with HCV genotype 1b had the resistance-associated mutations V36L, Q41R, T54S, and D168S. Notably, codons at positions 80 and 155 differed between samples from Brazilian patient used in this study and global isolates. The present study demonstrates that genotyping methods targeting the NS3 protein showed a difference of results when compared to mainstream methodologies (INNO-LiPA and polymerase sequencing). The resistance mutations present in untreated patients infected with HCV and codon composition bias by geographical location warrant closer examination.
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Affiliation(s)
- Isabel M V G de Carvalho
- Viral Imunology, Butantan Institute, Avenida Doutor Vital Brasil, São Paulo, Brazil; Applied Molecular Hepatology Laboratory (LHeMA), Hepatitis Sector, Gastroenterology Division, São Paulo Federal University, São Paulo, Brazil
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Saludes V, González V, Planas R, Matas L, Ausina V, Martró E. Tools for the diagnosis of hepatitis C virus infection and hepatic fibrosis staging. World J Gastroenterol 2014; 20:3431-3442. [PMID: 24707126 PMCID: PMC3974510 DOI: 10.3748/wjg.v20.i13.3431] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2013] [Revised: 12/05/2013] [Accepted: 03/06/2014] [Indexed: 02/06/2023] Open
Abstract
Hepatitis C virus (HCV) infection represents a major public health issue. Hepatitis C can be cured by therapy, but many infected individuals are unaware of their status. Effective HCV screening, fast diagnosis and characterization, and hepatic fibrosis staging are highly relevant for controlling transmission, treating infected patients and, consequently, avoiding end-stage liver disease. Exposure to HCV can be determined with high sensitivity and specificity with currently available third generation serology assays. Additionally, the use of point-of-care tests can increase HCV screening opportunities. However, active HCV infection must be confirmed by direct diagnosis methods. Additionally, HCV genotyping is required prior to starting any treatment. Increasingly, high-volume clinical laboratories use different types of automated platforms, which have simplified sample processing, reduced hands-on-time, minimized contamination risks and human error and ensured full traceability of results. Significant advances have also been made in the field of fibrosis stage assessment with the development of non-invasive methods, such as imaging techniques and serum-based tests. However, no single test is currently available that is able to completely replace liver biopsy. This review focuses on approved commercial tools used to diagnose HCV infection and the recommended hepatic fibrosis staging tests.
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Caboche S, Audebert C, Hot D. High-Throughput Sequencing, a VersatileWeapon to Support Genome-Based Diagnosis in Infectious Diseases: Applications to Clinical Bacteriology. Pathogens 2014; 3:258-79. [PMID: 25437800 PMCID: PMC4243446 DOI: 10.3390/pathogens3020258] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2013] [Revised: 02/28/2014] [Accepted: 03/20/2014] [Indexed: 12/19/2022] Open
Abstract
The recent progresses of high-throughput sequencing (HTS) technologies enable easy and cost-reduced access to whole genome sequencing (WGS) or re-sequencing. HTS associated with adapted, automatic and fast bioinformatics solutions for sequencing applications promises an accurate and timely identification and characterization of pathogenic agents. Many studies have demonstrated that data obtained from HTS analysis have allowed genome-based diagnosis, which has been consistent with phenotypic observations. These proofs of concept are probably the first steps toward the future of clinical microbiology. From concept to routine use, many parameters need to be considered to promote HTS as a powerful tool to help physicians and clinicians in microbiological investigations. This review highlights the milestones to be completed toward this purpose.
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Affiliation(s)
- Ségolène Caboche
- FRE 3642 Molecular and Cellular Medecine, CNRS, Institut Pasteur de Lille and University Lille Nord de France, Lille 59019, France.
| | | | - David Hot
- FRE 3642 Molecular and Cellular Medecine, CNRS, Institut Pasteur de Lille and University Lille Nord de France, Lille 59019, France.
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Mallory MA, Lucic DX, Sears MT, Cloherty GA, Hillyard DR. Evaluation of the Abbott realtime HCV genotype II RUO (GT II) assay with reference to 5'UTR, core and NS5B sequencing. J Clin Virol 2014; 60:22-6. [PMID: 24656214 DOI: 10.1016/j.jcv.2014.02.006] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2013] [Revised: 02/06/2014] [Accepted: 02/17/2014] [Indexed: 02/02/2023]
Abstract
BACKGROUND HCV genotyping is a critical tool for guiding initiation of therapy and selecting the most appropriate treatment regimen. OBJECTIVE To evaluate the concordance between the Abbott GT II assay and genotyping by sequencing subregions of the HCV 5'UTR, core and NS5B. STUDY DESIGN The Abbott assay was used to genotype 127 routine patient specimens and 35 patient specimens with unusual subtypes and mixed infection. Abbott results were compared to genotyping by 5'UTR, core and NS5B sequencing. Sequences were genotyped using the NCBI non-redundant database and the online genotyping tool COMET. RESULTS Among routine specimens, core/NS5B sequencing identified 93 genotype 1s, 13 genotype 2s, 15 genotype 3s, three genotype 4s, two genotype 6s and one recombinant specimen. Genotype calls by 5'UTR, core, NS5B sequencing and the Abbott assay were 97.6% concordant. Core/NS5B sequencing identified two discrepant samples as genotype 6 (subtypes 6l and 6u) while Abbott and 5'UTR sequencing identified these samples as genotype 1 with no subtype. The Abbott assay subtyped 91.4% of genotype 1 specimens. Among the 35 rare specimens, the Abbott assay inaccurately genotyped 3k, 6e, 6o, 6q and one genotype 4 variant; gave indeterminate results for 3g, 3h, 4r, 6m, 6n, and 6q specimens; and agreed with core/NS5B sequencing for mixed specimens. CONCLUSIONS The Abbott assay is an automated HCV genotyping method with improved accuracy over 5'UTR sequencing. Samples identified by the Abbott assay as genotype 1 with no subtype may be rare subtypes of other genotypes and thus require confirmation by another method.
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Affiliation(s)
- Melanie A Mallory
- ARUP Institute for Clinical and Experimental Pathology, ARUP Laboratories, 500 Chipeta Way, Salt Lake City, UT 84108, USA.
| | - Danijela X Lucic
- Abbott Molecular Inc., 1350 E. Touhy Avenue, Des Plaines, IL 60018, USA.
| | - Mitchell T Sears
- ARUP Institute for Clinical and Experimental Pathology, ARUP Laboratories, 500 Chipeta Way, Salt Lake City, UT 84108, USA.
| | - Gavin A Cloherty
- Abbott Molecular Inc., 1350 E. Touhy Avenue, Des Plaines, IL 60018, USA.
| | - David R Hillyard
- ARUP Institute for Clinical and Experimental Pathology, ARUP Laboratories, 500 Chipeta Way, Salt Lake City, UT 84108, USA; University of Utah Department of Pathology, 15 North Medical Drive East, Salt Lake City, UT 84112, USA.
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