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Vo-Quang E, Pawlotsky JM. 'Unusual' HCV genotype subtypes: origin, distribution, sensitivity to direct-acting antiviral drugs and behaviour on antiviral treatment and retreatment. Gut 2024:gutjnl-2024-332177. [PMID: 38782565 DOI: 10.1136/gutjnl-2024-332177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 04/30/2024] [Indexed: 05/25/2024]
Abstract
The high genetic diversity of hepatitis C virus (HCV) has led to the emergence of eight genotypes and a large number of subtypes in limited geographical areas. Currently approved pangenotypic DAA regimens have been designed and developed to be effective against the most common subtypes (1a, 1b, 2a, 2b, 2c, 3a, 4a, 5a and 6a). However, large populations living in Africa and Asia, or who have migrated from these regions to industrialised countries, are infected with 'unusual', non-epidemic HCV subtypes, including some that are inherently resistant to currently available direct-acting antiviral (DAA) drugs due to the presence of natural polymorphisms at resistance-associated substitution positions. In this review article, we describe the origin and subsequent global spread of HCV genotypes and subtypes, the current global distribution of common and unusual HCV subtypes, the polymorphisms naturally present in the genome sequences of unusual HCV subtypes that may confer inherently reduced susceptibility to DAA drugs and the available data on the response of unusual HCV subtypes to first-line HCV therapy and retreatment. We conclude that the problem of unusual HCV subtypes that are inherently resistant to DAAs and its threat to the global efforts to eliminate viral hepatitis are largely underestimated and warrant vigorous action.
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Affiliation(s)
- Erwan Vo-Quang
- National Reference Centre for Viral Hepatitis B, C and D, Department of Virology, Hôpital Henri Mondor (AP-HP), Université Paris-Est, Créteil, France
- Institut Mondor de Recherche Biomédicale (INSERM U955), Créteil, France
- Department of Hepatology, Hôpital Henri Mondor (AP-HP), Université Paris-Est, Créteil, France
| | - Jean-Michel Pawlotsky
- National Reference Centre for Viral Hepatitis B, C and D, Department of Virology, Hôpital Henri Mondor (AP-HP), Université Paris-Est, Créteil, France
- Institut Mondor de Recherche Biomédicale (INSERM U955), Créteil, France
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2
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Seroprevalence Trends and Molecular Epidemiology of Viral Hepatitis in Croatia. LIFE (BASEL, SWITZERLAND) 2023; 13:life13010224. [PMID: 36676173 PMCID: PMC9865277 DOI: 10.3390/life13010224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 12/26/2022] [Accepted: 01/10/2023] [Indexed: 01/15/2023]
Abstract
Viral hepatitis is a significant cause of morbidity and mortality worldwide. In Croatia, hepatitis B virus (HBV) and hepatitis C virus (HCV) are widely distributed, especially in some high-risk groups such as people who inject drugs (PWID), prisoners, and highly promiscuous groups. The seroprevalence of HBV ranges from 7.0% in the general population to 38.8% in PWID, depending on the region. The seroprevalence of HCV is highest among PWID (29-75.5%) as compared to 0.9% in the general population. Analyzing the distribution of HCV genotypes, no substantial changes in the molecular epidemiology of the two most frequent HCV genotypes (1 and 3) in the past 20 years were observed. However, the predominance of subtype 1b compared to subtype 1a as detected in 1996-2005 was not confirmed in 2008-2015. Hepatitis A virus (HAV) incidence was high in the past with a decreasing trend since the 2000s, except for an outbreak in 2017-2018 as part of the large European outbreak, which was mainly among men who have sex with men. Hepatitis E virus (HEV) is an emerging virus detected for the first time in Croatia in 2012. The seroprevalence of HEV is high among hemodialysis patients (27.9%) and liver transplant recipients (19.3-24.4%). In addition, higher seroprevalence rates were observed in animal-related professions (e.g., veterinarians, 15.2%; hunters, 14.9%). All detected HEV strains belonged to genotype 3.
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Hatanaka T, Kakizaki S, Kaburagi T, Saito N, Nakano S, Hazama Y, Yoshida S, Hachisu Y, Tanaka Y, Yoshinaga T, Kashiwabara K, Naganuma A, Yamazaki Y, Uraoka T, Nagashima S, Takahashi M, Nishizawa T, Murata K, Okamoto H. Chronic Infection with Hepatitis C Virus Subtype 1g in a Japanese Patient Successfully Treated with Glecaprevir/Pibrentasvir. Intern Med 2022; 61:1537-1543. [PMID: 34897154 PMCID: PMC9177357 DOI: 10.2169/internalmedicine.8673-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
A 66-year-old man, who had undergone plasma exchange 30 years previously in Egypt for the treatment of falciparum malaria, was referred to our hospital for treatment of chronic hepatitis C (HCV). An analysis of the 655-nucleotide 5'-untranslated region-core region sequence revealed infection with HCV subtype 1g. A phylogenetic analysis of the full-length HCV genome confirmed that the patient's HCV was subtype 1g, which was the first case identified in Japan. Although his HCV possessed several naturally occurring resistance-associated substitutions in the nonstructural (NS) 3 and NS5A regions, he was successfully treated by combination therapy with glecaprevir/pibrentasvir.
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Affiliation(s)
- Takeshi Hatanaka
- Department of Gastroenterology, Gunma Saiseikai Maebashi Hospital, Japan
| | - Satoru Kakizaki
- Department of Clinical Research, National Hospital Organization Takasaki General Medical Center, Japan
- Department of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, Japan
| | - Takuya Kaburagi
- Department of Gastroenterology, Gunma Saiseikai Maebashi Hospital, Japan
| | - Naoto Saito
- Department of Gastroenterology, Gunma Saiseikai Maebashi Hospital, Japan
| | - Sachi Nakano
- Department of Gastroenterology, Gunma Saiseikai Maebashi Hospital, Japan
| | - Yoichi Hazama
- Department of Gastroenterology, Gunma Saiseikai Maebashi Hospital, Japan
| | - Sachiko Yoshida
- Department of Gastroenterology, Gunma Saiseikai Maebashi Hospital, Japan
| | - Yoko Hachisu
- Department of Gastroenterology, Gunma Saiseikai Maebashi Hospital, Japan
| | - Yoshiki Tanaka
- Department of Gastroenterology, Gunma Saiseikai Maebashi Hospital, Japan
| | - Teruo Yoshinaga
- Department of Gastroenterology, Gunma Saiseikai Maebashi Hospital, Japan
| | | | - Atsushi Naganuma
- Department of Gastroenterology, National Hospital Organization Takasaki General Medical Center, Japan
| | - Yuichi Yamazaki
- Department of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, Japan
| | - Toshio Uraoka
- Department of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, Japan
| | - Shigeo Nagashima
- Division of Virology, Department of Infection and Immunity, Jichi Medical University School of Medicine, Japan
| | - Masaharu Takahashi
- Division of Virology, Department of Infection and Immunity, Jichi Medical University School of Medicine, Japan
| | - Tsutomu Nishizawa
- Division of Virology, Department of Infection and Immunity, Jichi Medical University School of Medicine, Japan
| | - Kazumoto Murata
- Division of Virology, Department of Infection and Immunity, Jichi Medical University School of Medicine, Japan
| | - Hiroaki Okamoto
- Division of Virology, Department of Infection and Immunity, Jichi Medical University School of Medicine, Japan
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Ridruejo E, Pereson MJ, Flichman DM, Di Lello FA. Hepatitis C virus treatment failure: Clinical utility for testing resistance-associated substitutions. World J Hepatol 2021; 13:1069-1078. [PMID: 34630875 PMCID: PMC8473504 DOI: 10.4254/wjh.v13.i9.1069] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/12/2021] [Accepted: 08/10/2021] [Indexed: 02/06/2023] Open
Abstract
The hepatitis C virus has a high mutation capacity that leads to the emergence of resistance-associated substitutions (RAS). However, the consequence of resistance selection during new direct-acting antiviral drug (DAA) treatment is not necessarily the therapeutic failure. In fact, DAA treatment has shown a high rate (> 95%) of sustained virological response even when high baseline RAS prevalence has been reported. In the context of RAS emergence and high rates of sustained viral response, the clinical relevance of variants harboring RAS is still controversial. Therefore, in order to summarize the data available in international guidelines, we have reviewed the clinical utility of testing RAS in the era of new pangenotypic DAA drugs.
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Affiliation(s)
- Ezequiel Ridruejo
- Hepatology Section, Department of Medicine, Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno “CEMIC”, Ciudad Autónoma de Buenos Aires C1425AS, Unspecified, Argentina
| | - Matías Javier Pereson
- Facultad de Farmacia y Bioquímica, Instituto de Investigaciones en Bacteriología y Virología Molecular (IBaViM), Universidad de Buenos Aires, Ciudad Autónoma de Buenos Aires 1113, Argentina
| | - Diego M Flichman
- Instituto de Investigaciones Biomédicas en Retrovirus y Síndrome de Inmunodeficiencia Adquirida (INBIRS), Universidad de Buenos Aires, Ciudad Autónoma de Buenos Aires 1113, Argentina
| | - Federico Alejandro Di Lello
- Facultad de Farmacia y Bioquímica, Instituto de Investigaciones en Bacteriología y Virología Molecular (IBaViM), Universidad de Buenos Aires, Ciudad Autónoma de Buenos Aires 1113, Argentina
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5
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Khadempour-Arani H, Shojaeian A, Mehri-Ghahfarrokhi A, Shahraki HR, Karimi A, Dehghan A, Mobini GR. Identifying genotype profile of chronic hepatitis C infection in Southwest Iran. JOURNAL OF RESEARCH IN MEDICAL SCIENCES 2020; 25:85. [PMID: 33273930 PMCID: PMC7698378 DOI: 10.4103/jrms.jrms_524_19] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 11/26/2019] [Accepted: 05/17/2020] [Indexed: 12/14/2022]
Abstract
Background: Hepatitis C virus (HCV) infection is one of the most important risk factors for liver failure which can lead to chronic hepatitis, cirrhosis, and hepatocellular carcinoma. Approximately 170–200 million (almost 3% of the world's population) people have been reported to have HCV infection worldwide. HCV has six genotypes and multiple subtypes. HCV genotyping and identification of subtypes are critical steps for HCV vaccine development. Materials and Methods: In this community-based study, we aimed to investigate the HCV genotypes in infected patients referring to the laboratory of Hajar Hospital of Shahrekord city (the capital of Chaharmahal and Bakhtiari Province) in Iran from November 21, 2016, to October 21, 2017. During 2016–2017, the sera were obtained from 2377 individuals referring to the laboratory of Hajar Hospital of Shahrekord, Iran. The anti-HCV antibody was tested for all sera by enzyme-linked immunosorbent assay test. Following HCV RNA isolation and cDNA synthesis, HCV genotype detection was performed by quantitative reverse transcription-polymerase chain reaction. Results: Genotypes 3, 1a, and 1b were found in 28.6% (95% confidence interval [CI]: 17.0%–40.0%), 9.5% (95% CI: 2.1%–17.0%), and 3.2% (95% CI: 0.0%–7.6%) of the patients, respectively. In 5 patients (7.9%, 95% CI: 1.1%–14.8%), however, we did not observe any genotypes. We could not find any significant difference between the plasma viral load of infected patients and different genotypes. There was no significant difference either between age groups and genotypes (P > 0.05). Conclusion: The findings of the present study determined that HCV genotype 3 was the predominant genotype followed by the genotypes 1a and 1b in Chaharmahal and Bakhtiari Province.
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Affiliation(s)
| | - Ali Shojaeian
- Department of Molecular Medicine, School of Advanced Technologies, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Ameneh Mehri-Ghahfarrokhi
- Department of Molecular Medicine, School of Advanced Technologies, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Hadi Raeisi Shahraki
- Department of Epidemiology and Biostatistics, Faculty of Health, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Abbas Karimi
- Department of Molecular Medicine, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Alireza Dehghan
- Cancer Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Gholam Reza Mobini
- Cellular and Molecular Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord, Iran
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Pawlotsky JM, Negro F, Aghemo A, Berenguer M, Dalgard O, Dusheiko G, Marra F, Puoti M, Wedemeyer H. EASL recommendations on treatment of hepatitis C: Final update of the series ☆. J Hepatol 2020; 73:1170-1218. [PMID: 32956768 DOI: 10.1016/j.jhep.2020.08.018] [Citation(s) in RCA: 573] [Impact Index Per Article: 143.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 08/18/2020] [Indexed: 02/08/2023]
Abstract
Hepatitis C virus (HCV) infection is a major cause of chronic liver disease, with approximately 71 million chronically infected individuals worldwide. Clinical care for patients with HCV-related liver disease has advanced considerably thanks to an enhanced understanding of the pathophysiology of the disease, as well as developments in diagnostic procedures and improvements in therapy and prevention. These therapies make it possible to eliminate hepatitis C as a major public health threat, as per the World Health Organization target, although the timeline and feasibility vary from region to region. These European Association for the Study of the Liver recommendations on treatment of hepatitis C describe the optimal management of patients with recently acquired and chronic HCV infections in 2020 and onwards.
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Bradshaw D, Mbisa JL, Geretti AM, Healy BJ, Cooke GS, Foster GR, Thomson EC, McLauchlan J, Agarwal K, Sabin C, Mutimer D, Moss P, Irving WL, Barnes E. Consensus recommendations for resistance testing in the management of chronic hepatitis C virus infection: Public Health England HCV Resistance Group. J Infect 2019; 79:503-512. [PMID: 31629015 DOI: 10.1016/j.jinf.2019.10.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 10/10/2019] [Accepted: 10/13/2019] [Indexed: 12/12/2022]
Abstract
The treatment of hepatitis C virus (HCV) infection has been revolutionised by the advent of oral, well-tolerated, direct acting antiviral therapies (DAA), with high cure rates. However, in some scenarios, HCV resistance to antiviral therapies may have an impact on treatment success. Public Health England's HCV Resistance Group was established to support clinicians treating people with HCV, where the issue of resistance may be a factor in clinical decision-making, and this review includes the Group's current recommendations on the use of HCV resistance testing. The authors describe the principles behind and approach to HCV resistance testing and consider evidence from in vitro studies, clinical trials and real world cohorts on the impact of HCV resistance on treatment outcomes for particular DAA regimens. Five scenarios are identified in the UK and similar settings, where, in the Group's opinion, resistance testing should be performed.
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Affiliation(s)
- Daniel Bradshaw
- National Infection Service, Public Health England, 61 Colindale Avenue, London NW9 5EQ, UK.
| | - Jean L Mbisa
- National Infection Service, Public Health England, London, UK
| | | | | | | | | | - Emma C Thomson
- MRC-University of Glasgow Centre for Virus Research, Glasgow, Scotland, UK
| | - John McLauchlan
- MRC-University of Glasgow Centre for Virus Research, Glasgow, Scotland, UK
| | - Kosh Agarwal
- Institute of Liver Studies, King's College Hospital, London, UK
| | | | | | - Peter Moss
- Hull University Teaching Hospitals NHS Trust, UK
| | - William L Irving
- Faculty of Medicine & Health Sciences, University of Nottingham, Nottingham, UK
| | - Ellie Barnes
- Peter Medawar Building for Pathogen Research, University of Oxford, Oxford, UK
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8
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Goletti S, Zuyten S, Goeminne L, Verhofstede C, Rodriguez-Villalobos H, Bodeus M, Stärkel P, Horsmans Y, Kabamba-Mukadi B. Comparison of Sanger sequencing for hepatitis C virus genotyping with a commercial line probe assay in a tertiary hospital. BMC Infect Dis 2019; 19:738. [PMID: 31438880 PMCID: PMC6704641 DOI: 10.1186/s12879-019-4386-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 08/15/2019] [Indexed: 02/08/2023] Open
Abstract
Background The technique most frequently used to genotype HCV is quantitative RT-PCR. This technique is unable to provide an accurate genotype/subtype for many samples; we decided to develop an in-house method with the goal of accurately identifying the genotype of all samples. As a Belgium National Centre of reference for hepatitis, we developed in-house sequencing not only for 5’UTR and core regions starting from VERSANT LiPA amplicons but also for NS5B regions. The sequencing of VERSANT LiPA amplicons might be useful for many laboratories worldwide using the VERSANT LiPA assay to overcome undetermined results. Methods 100 samples from Hepatitis C virus infected patients analysed by the VERSANT HCV Genotype 2.0 LiPA Assay covering frequent HCV types and subtypes were included in this study. NS5B, 5’UTR and Core home-made sequencing were then performed on these samples. The sequences obtained were compared with the HCV genomic BLAST bank. Results All the samples were characterised by the VERSANT LiPA assay (8 G1a, 17 G1b, 6 G2, 11 G3, 13 G4, and 10 G6). It was not possible to discriminate between G6 and G1 by the VERSANT LiPA assay for 8 samples and 27 had an undetermined genotype. Forty-one samples were sequenced for the three regions: NS5B, 5’UTR and Core. Twenty-three samples were sequenced for two regions: 5′ UTR and Core and 36 samples were sequenced only for NS5B. Of the 100 samples included, 64 samples were analysed for 5’UTR and Core sequencing and 79 samples were analysed for NS5B sequencing. The global agreement between VERSANT LiPA assay and sequencing was greater than 95%. Conclusions In this study, we describe a new, original method to confirm HCV genotypes of samples not discriminated by a commercial assay, using amplicons already obtained by the screening method, here the VERSANT LiPA assay. This method thus saves one step if a confirmation assay is needed and might be of usefulness for many laboratories worldwide performing VERSANT LiPA assay in particular.
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Affiliation(s)
- Sylvie Goletti
- Microbiology Department, Cliniques universitaires St Luc, Université catholique de Louvain, Brussels, Belgium. .,Pôle de Microbiologie médicale, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain , Brussels, Belgium.
| | - Siméon Zuyten
- Pôle de Microbiologie médicale, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain , Brussels, Belgium
| | - Léonie Goeminne
- Pôle de Microbiologie médicale, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain , Brussels, Belgium
| | - Chris Verhofstede
- AIDS Reference Laboratory, Clinical Chemistry, Microbiology and Immunology Department, Ghent University, Ghent, Belgium
| | - Hector Rodriguez-Villalobos
- Microbiology Department, Cliniques universitaires St Luc, Université catholique de Louvain, Brussels, Belgium.,Pôle de Microbiologie médicale, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain , Brussels, Belgium
| | - Monique Bodeus
- Microbiology Department, Cliniques universitaires St Luc, Université catholique de Louvain, Brussels, Belgium.,Pôle de Microbiologie médicale, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain , Brussels, Belgium
| | - Peter Stärkel
- HepatoGastroenterology Department, Cliniques universitaires St Luc, Université catholique de Louvain, Brussels, Belgium
| | - Yves Horsmans
- HepatoGastroenterology Department, Cliniques universitaires St Luc, Université catholique de Louvain, Brussels, Belgium
| | - Benoît Kabamba-Mukadi
- Microbiology Department, Cliniques universitaires St Luc, Université catholique de Louvain, Brussels, Belgium.,Pôle de Microbiologie médicale, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain , Brussels, Belgium
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High prevalence of genotype 6 hepatitis C virus infection in Southern Taiwan using Abbott genotype assays. J Formos Med Assoc 2019; 119:413-419. [PMID: 31420113 DOI: 10.1016/j.jfma.2019.07.021] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 07/12/2019] [Accepted: 07/18/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND/PURPOSE Abbott RealTime Genotype II assay can effectively identify hepatitis C virus (HCV) genotypes (GTs), but some GT 6 subtypes might not be differentiated from GT 1. Abbott RealTime Genotype II PLUS and sequencing might be needed to resolve these ambiguous results. Unlike the high prevalence of GT 6 in Southeast Asia, GT 6 had rarely been reported in Taiwan except in intravenous drug abusers (IDU). But the prevalence of GT 6 in Taiwan might be underestimated. We conducted this study to determine the GTs in a HCV endemic area in Southern Taiwan. METHODS A total of 1147 patients with hepatitis C viremia for direct acting antivirals (DAA) treatment at the Chi Mei medical system in Tainan were enrolled. Genotype was determined using a working flow consisted of Abbott GT II, PLUS assays and 5' untranslated region (5' UTR)/core sequencing. RESULTS Among the 1147 patients, 883 (77.0%) obtained GT results by GT II, 264 (23.0%) samples with ambiguous results by GT II assay received further tests, including 194 (73.5%) with PLUS assay and 70 (26.5%) with 5'UTR/core sequencing. Nearly three-quarters (73.5%) of ambiguous results by GT II assay were GT 6. Overall, 18.3% of samples were GT 6. Phylogenetic study of 11 samples of GT 6 subtypes showed 7 (63.6%) were 6 g. CONCLUSION GT 6 is the major factor for high ambiguous rate by GT II. Unexpected high prevalence of GT 6 (18.3%) in Southern Taiwan, especially subtype 6 g, closely related to Indonesian strains, is first reported.
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Vince A, Židovec Lepej S, Bingulac-Popović J, Miletić M, Kuret S, Sardelić S, Vrakela IB, Kurelac I. Distribution of hepatitis C virus genotypes and subtypes in Croatia: 2008-2015. Cent Eur J Public Health 2019; 26:159-163. [PMID: 30419615 DOI: 10.21101/cejph.a5021] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2016] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Hepatitis C virus (HCV) genotyping is an important part of pre-treatment diagnostic algorithms as it guides the choice of therapeutic regimens. The aim of this study was to analyse the distribution of HCV genotypes in patients with chronic hepatitis C from Croatia in the period 2008-2015. METHODS The study enrolled 3,655 anti-HCV positive patients with available results of HCV genotyping from the three largest national HCV genotyping laboratories. RESULTS The majority of HCV-infected individuals enrolled in the study were male (70.7%). Analysis of age distribution in a subset of 2,164 individuals showed a mean age of 40.9 years (SD 11.77 years). Croatian patients were mostly infected with HCV genotype 1 (56.6%), followed by genotype 3 (37.3%), genotype 4 (4.2%) and genotype 2 (1.8%). Genotype 1 subtyping in a subset of 1,488 patients showed 54% (803/1,488) of 1b infections and 46% (685/1,488) of 1a infections. Percentages of genotype 1 were the highest in Central/Northwestern and Eastern Croatia and the lowest in the Central/Southern Adriatic Region. Genotype 3 was most frequently found in the Central/Southern Adriatic Region (49.1%) but represented only 17.5% of infections in Eastern Croatia (p < 0.001). CONCLUSIONS The results of this nine-year retrospective analysis on the distribution of HCV genotypes and subtypes in 3,655 HCV-infected individuals from Croatia showed that the majority of infections can be attributed to genotypes 1 and 3 with absence of major changes in the molecular epidemiology of the two most frequent HCV genotypes infection in Croatia in the past 20 years.
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Affiliation(s)
- Adriana Vince
- School of Medicine, University of Zagreb, Zagreb, Croatia.,University Hospital for Infectious Diseases, Zagreb, Croatia
| | | | | | | | - Sendi Kuret
- University Hospital Centre Split, Split, Croatia
| | | | | | - Ivan Kurelac
- University Hospital for Infectious Diseases, Zagreb, Croatia
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11
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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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12
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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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Performance of molecular methods for identification of unusual subtypes of hepatitis C virus genotype 2. BIOMEDICA 2018; 38:282-288. [PMID: 30184351 DOI: 10.7705/biomedica.v38i0.3864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2017] [Revised: 08/30/2017] [Indexed: 11/21/2022]
Abstract
Introduction: Hepatitis C virus (HCV) displays high genetic variability, with seven genotypes and numerous subtypes. The determination of the viral type has been essential for the selection and timing of antiviral treatment. In Venezuela, HCV genotype 2 is relatively diverse, being particularly prevalent subtype 2j.
Objective: To evaluate the performance of methodologies for genotyping HCV, particularly for identification of subtype 2j.
Materials and methods: HCV genotype and subtype were determined by reverse hybridization technique (LiPA) and sequencing of the HCV 5’UTR and NS5B regions.
Results: A total of 65 samples from HCV-infected patients were analyzed. PCR amplifications of the 5’UTR region exhibited the highest sensitivity (100% vs 91% for LiPA and 77% for NS5B). Genotype determination, taking as reference test NS5B, showed 100% concordance with the other methods, and 67% and 59% for subtypes with 5´NC and LiPA, respectively. NS5B sequencing allowed the identification of subtypes 2j and 2s, which were not detected by the other methods. A specific LiPA pattern was not
observed for HCV subtype 2j.
Conclusion: Although being the methodology with lowest sensitivity for amplification of HCV RNA, sequencing NS5B region remains a powerful tool for correct discrimination of the different HCV subtypes, which is of epidemiological relevance.
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Mesbahi Z, Kabbaj H, Malki H, Bouihat N, Qrafli M, Belefquih B, Marcil S, Challine D, Pawlotsky JM, Bouvier M, Seffar M. Indeterminate genotypes of hepatitis C virus by the Abbott RealTime HCV Genotype II assay in Morocco. About eight cases resolved by a sequencing method. J Med Virol 2018; 90:1352-1357. [PMID: 29663433 DOI: 10.1002/jmv.25191] [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: 07/31/2017] [Accepted: 04/04/2018] [Indexed: 12/25/2022]
Abstract
The early detection and genotyping of the hepatitis C virus (HCV) are important in the management of this infection. The genotype is the major factor influencing treatment decisions. That's why it is necessary to use fast and accurate methods in its determination. This study reports, over a period of 3 years (from May 2012 to July 2015), the percentage of indeterminate genotypes by the Abbott RealTime HCV Genotype II test and their results using a sequencing technique. Of 309 samples of 309 patients tested, 11 were indeterminate (4.4%). There were three cases of cross-reactivity (1b/4 in one case, 2/5 in two cases) and a possible co-infection 1 + 4. Among those indeterminate genotypes, cross-reactivities and co-infections, ten samples were tested by sequencing. The results were for four of them a 1d subtype, five were a 2i subtype and one was a 2l subtype. These results support the thesis of complementarity between the two methods: genotyping for the detection of mixed reactions and sequencing for resolving indeterminate cases by genotyping.
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Affiliation(s)
- Zineb Mesbahi
- Mohamed V University, Ibn Sina University Hospital Center, Faculty of Medecine and Pharmacy of Rabat, Central Laboratory of Virology, Rabat, Morocco
| | - Hakima Kabbaj
- Mohamed V University, Ibn Sina University Hospital Center, Faculty of Medecine and Pharmacy of Rabat, Central Laboratory of Virology, Rabat, Morocco
| | - Houcine Malki
- Mohamed V University, Ibn Sina University Hospital Center, Faculty of Medecine and Pharmacy of Rabat, Central Laboratory of Virology, Rabat, Morocco
| | - Najat Bouihat
- Mohamed V University, Ibn Sina University Hospital Center, Faculty of Medecine and Pharmacy of Rabat, Central Laboratory of Virology, Rabat, Morocco
| | - Mounia Qrafli
- Mohamed V University, Ibn Sina University Hospital Center, Faculty of Medecine and Pharmacy of Rabat, Central Laboratory of Virology, Rabat, Morocco
| | - Bouchra Belefquih
- Laboratory of Virology, Cheikh Khalifa Hospital, Casablanca, Morocco
| | - Sarrah Marcil
- Mohamed V University, Ibn Sina University Hospital Center, Faculty of Medecine and Pharmacy of Rabat, Central Laboratory of Virology, Rabat, Morocco
| | - Dominique Challine
- National Reference Center for Viral Hepatitis B, C and delta, Henry Mondor Hospital, University of Paris-Est, Créteil, France
| | - Jean-Michel Pawlotsky
- National Reference Center for Viral Hepatitis B, C and delta, Henry Mondor Hospital, University of Paris-Est, Créteil, France
| | - Magali Bouvier
- National Reference Center for Viral Hepatitis B, C and delta, Henry Mondor Hospital, University of Paris-Est, Créteil, France
| | - Myriam Seffar
- Mohamed V University, Ibn Sina University Hospital Center, Faculty of Medecine and Pharmacy of Rabat, Central Laboratory of Virology, Rabat, Morocco
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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: 1.2] [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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17
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Rodriguez C, Soulier A, Demontant V, Poiteau L, Mercier-Darty M, Bouvier-Alias M, Pawlotsky JM, Chevaliez S. A novel standardized deep sequencing-based assay for hepatitis C virus genotype determination. Sci Rep 2018; 8:4180. [PMID: 29520035 PMCID: PMC5843601 DOI: 10.1038/s41598-018-22614-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Accepted: 02/26/2018] [Indexed: 01/06/2023] Open
Abstract
Hepatitis C virus (HCV) genotype and subtype (1a/1b) identification is needed to tailor anti-HCV therapy. Currently available methods accurately identify the genotype and differentiate subtypes 1a from 1b. However, these assays have not been designed to identify other HCV subtypes, nor to recognize mixed genotype/subtype infections, emphasizing the need for a high-resolution system based on phylogenetic analysis of reads obtained by deep sequencing of a relevant genome region. The aim of this study was to evaluate the performance of the Sentosa SQ HCV Genotyping Assay, a novel deep sequencing-based assay targeting the HCV nonstructural 5B (NS5B) region, in clinical samples from patients with an indication for anti-HCV therapy. A high concordance rate with Sanger sequencing of the NS5B region, the reference method, was found for genotype 1 to 6 determination, 1a/1b subtype identification, and genotype 4, 5 and 6 subtyping. Discrepancies were seen essentially for HCV genotype 2 subtyping. Overall, the performance of the deep sequencing-based assay in generating the genotypes/subtype information needed to tailor anti-HCV treatment was adequate in this study. Further improvements, such as a longer NS5B fragment analyzed and enriching the database of reference prototype strains used for subtype assignment would make it a method of choice for HCV genotyping and subtyping for future clinical practice and research.
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Affiliation(s)
- Christophe Rodriguez
- National Reference Center for Viral Hepatitis B, C and D, Department of Virology, Hôpital Henri Mondor, Université Paris-Est, Créteil, France
- INSERM, U955, Créteil, France
| | - Alexandre Soulier
- National Reference Center for Viral Hepatitis B, C and D, Department of Virology, Hôpital Henri Mondor, Université Paris-Est, Créteil, France
- INSERM, U955, Créteil, France
| | - Vanessa Demontant
- National Reference Center for Viral Hepatitis B, C and D, Department of Virology, Hôpital Henri Mondor, Université Paris-Est, Créteil, France
- INSERM, U955, Créteil, France
| | - Lila Poiteau
- National Reference Center for Viral Hepatitis B, C and D, Department of Virology, Hôpital Henri Mondor, Université Paris-Est, Créteil, France
- INSERM, U955, Créteil, France
| | - Mélanie Mercier-Darty
- National Reference Center for Viral Hepatitis B, C and D, Department of Virology, Hôpital Henri Mondor, Université Paris-Est, Créteil, France
- INSERM, U955, Créteil, France
| | - Magali Bouvier-Alias
- National Reference Center for Viral Hepatitis B, C and D, Department of Virology, Hôpital Henri Mondor, Université Paris-Est, Créteil, France
- INSERM, U955, Créteil, France
| | - Jean-Michel Pawlotsky
- National Reference Center for Viral Hepatitis B, C and D, Department of Virology, Hôpital Henri Mondor, Université Paris-Est, Créteil, France
- INSERM, U955, Créteil, France
| | - Stéphane Chevaliez
- National Reference Center for Viral Hepatitis B, C and D, Department of Virology, Hôpital Henri Mondor, Université Paris-Est, Créteil, France.
- INSERM, U955, Créteil, France.
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18
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Del Campo JA, Parra-Sánchez M, Figueruela B, García-Rey S, Quer J, Gregori J, Bernal S, Grande L, Palomares JC, Romero-Gómez M. Hepatitis C virus deep sequencing for sub-genotype identification in mixed infections: A real-life experience. Int J Infect Dis 2017; 67:114-117. [PMID: 29253705 PMCID: PMC5812776 DOI: 10.1016/j.ijid.2017.12.016] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Revised: 12/05/2017] [Accepted: 12/07/2017] [Indexed: 12/26/2022] Open
Abstract
Routine strategies for hepatitis C virus (HCV) genotyping have several limitations. Deep sequencing methods can solve this problem. Accurate determination of viral genotypes and subtypes would allow optimal patient management and the most effective therapy. Mixed infections may represent a key factor for efficient therapy. Patients infected with more than one HCV genotype (mixed infection) can be detected only by deep sequencing methods. These patients can fail treatment with direct-acting antiviral agents, hence next-generation sequencing methods are highly recommended in clinical practice.
Background The effectiveness of the new generation of hepatitis C treatments named direct-acting antiviral agents (DAAs) depends on the genotype, subtype, and resistance-associated substitutions present in individual patients. The aim of this study was to evaluate a massive sequencing platform for the analysis of genotypes and subtypes of hepatitis C virus (HCV) in order to optimize therapy. Methods A total of 84 patients with hepatitis C were analyzed. The routine genotyping methodology for HCV used at the study institution (Versant HCV Assay, LiPA) was compared with a deep sequencing platform (454/GS-Junior and Illumina MiSeq). Results The mean viral load in these HCV patients was 6.89 × 106 ± 7.02 × 105. Viral genotypes analyzed by LiPA were distributed as follows: 26% genotype 1a (22/84), 55% genotype 1b (46/84), 1% genotype 1 (1/84), 2.5% genotype 3 (2/84), 6% genotype 3a (5/84), 6% genotype 4a/c/d (5/84). When analyzed by deep sequencing, the samples were distributed as follows: 27% genotype 1a (23/84), 56% genotype 1b (47/84), 8% genotype 3a (7/84), 5% genotype 4d (4/84), 2.5% genotype 4f (2/84). Six of the 84 patients (7%) were infected with more than one subtype. Among these, 33% (2/6) failed DAA-based triple therapy. Conclusions The detection of mixed infection could explain some treatment failures. Accurate determination of viral genotypes and subtypes would allow optimal patient management and improve the effectiveness of DAA therapy.
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Affiliation(s)
- José A Del Campo
- UCM Digestive Diseases, Valme University Hospital, Seville, Spain; Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain.
| | - Manuel Parra-Sánchez
- UCM Infectious Diseases and Microbiology, Valme University Hospital, Seville, Spain
| | | | - Silvia García-Rey
- UCM Infectious Diseases and Microbiology, Valme University Hospital, Seville, Spain
| | - Josep Quer
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain; Liver Unit, Liver Disease Laboratory - Viral Hepatitis, Internal Medicine Department, Vall d'Hebron Institut Recerca (VHIR-HUVH), Universitat Autonoma Barcelona, Barcelona, Spain
| | - Josep Gregori
- Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain; Liver Unit, Liver Disease Laboratory - Viral Hepatitis, Internal Medicine Department, Vall d'Hebron Institut Recerca (VHIR-HUVH), Universitat Autonoma Barcelona, Barcelona, Spain; Roche Diagnostics SL, Sant Cugat del Vallès, Barcelona, Spain
| | - Samuel Bernal
- UCM Infectious Diseases and Microbiology, Valme University Hospital, Seville, Spain
| | - Lourdes Grande
- UCM Digestive Diseases, Valme University Hospital, Seville, Spain
| | - José C Palomares
- UCM Infectious Diseases and Microbiology, Valme University Hospital, Seville, 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 del Rocío, Instituto de Investigación Biomédica de Sevilla (IBiS), Seville, Spain
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19
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Dirani G, Paesini E, Mascetra E, Farabegoli P, Dalmo B, Bartolini B, Garbuglia AR, Capobianchi MR, Sambri V. A novel next generation sequencing assay as an alternative to currently available methods for hepatitis C virus genotyping. J Virol Methods 2017; 251:88-91. [PMID: 29045810 DOI: 10.1016/j.jviromet.2017.10.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 08/17/2017] [Accepted: 10/05/2017] [Indexed: 12/31/2022]
Abstract
Chronic HCV infection is one of the leading causes of liver-related death and in many countries it is a primary reason for having a liver transplant. HCV genotype identification has long been used in the clinical practice, since different genotypes have different response rates and required different doses and durations of IFN/RBV treatment; moreover both the frequency and the pattern of resistance to different Direct-Acting Antivirals (DAAs) classes are subtype specific. Hence the necessity to make an accurate HCV subtyping becomes a fundamental tool to optimize current and future clinical management of HCV infected subjects. In the present study the performance of a next generation sequencing (NGS: based on the Ion Torrent Platform-Vela Sentosa SQ 301 sequencer) HCV genotyping assay has been evaluated. The current method targets a region of the NS5B gene and it is the unique NGS based market CE-IVD assay. As a comparative method a commercial method based on the detection via reverse hybridization of 5'UTR and core regions (Versant HCV Genotype 2.0 Assay, LiPA, Siemens) was selected. A total 207 plasma samples from HCV infected individuals were used. No selection was made for these samples that were submitted for routine HCV genotyping. The results show Vela NGS assay assigns major number of HCV subtypes with respect LiPA. Concerning genotype 1 and 3, the discrepancy of assigned subtypes for LiPA with respect to Vela NGS assay is not relevant (1.8% and 2%, respectively); in contrast, the difference of assigned subtypes for genotypes 2 and 4 is very high (96.6% and 100%, respectively). The resistance mutations data, except for 1a and 1b subtypes, remain scarce; the future relevant challenge will be to identify subtypes-specific drug resistance mutations, which are essential to create highly personalized therapeutic pathways.
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Affiliation(s)
- G Dirani
- Unit of Microbiology, The Great Romagna Hub Laboratory, Pievesestina, Cesena, Italy.
| | - E Paesini
- Unit of Microbiology, The Great Romagna Hub Laboratory, Pievesestina, Cesena, Italy
| | - E Mascetra
- Unit of Microbiology, The Great Romagna Hub Laboratory, Pievesestina, Cesena, Italy
| | - P Farabegoli
- Unit of Microbiology, The Great Romagna Hub Laboratory, Pievesestina, Cesena, Italy
| | - B Dalmo
- Unit of Microbiology, The Great Romagna Hub Laboratory, Pievesestina, Cesena, Italy
| | - B Bartolini
- Virology Laboratory, National Institute for Infectious Diseases "L.Spallanzani", Rome, Italy
| | - A R Garbuglia
- Virology Laboratory, National Institute for Infectious Diseases "L.Spallanzani", Rome, Italy
| | - M R Capobianchi
- Virology Laboratory, National Institute for Infectious Diseases "L.Spallanzani", Rome, Italy
| | - V Sambri
- Unit of Microbiology, The Great Romagna Hub Laboratory, Pievesestina, Cesena, Italy; DIMES, University of Bologna, Bologna, Italy
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20
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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: 3.4] [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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21
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Han MS, Park Y, Kim HS. Comparison of Abbott RealTime genotype II, GeneMatrix restriction fragment mass polymorphism and Sysmex HISCL HCV Gr assays for hepatitis C virus genotyping. ACTA ACUST UNITED AC 2017; 55:1122-1128. [DOI: 10.1515/cclm-2016-0130] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Accepted: 11/29/2016] [Indexed: 12/13/2022]
Abstract
AbstractBackground:Hepatitis C virus (HCV) genotype is a predictive marker for treatment response. We sequentially evaluated the performances of two nucleic acid amplification tests (NAATs) and one serology assay for HCV genotype: Abbott RealTimegenotype II (RealTimeII), GeneMatrix restriction fragment mass polymorphism (RFMP), and Sysmex HISCL HCV Gr (HISCL Gr).Methods:We examined 281 clinical samples with three assays. The accuracy was assessed using the HCV Genotype Performance Panel PHW204 (SeraCare Life Sciences) for two NAATs. Discrepant cases were re-genotyped by the Versant HCV v.2.0 (line probe 2.0) assay.Results:With the RealTimeII assay, clinic samples were analyzed as follows: genotypes 1b (43.1%), 2 (40.2%), 1 subtypes other than 1a and 1b (12.5%), 3 (1.8%), 4 (1.4%), 1a (0.7%), 6 (0.4%), and mixed (1.1%). The RealTimeII and RFMP assays showed a type concordance rate of 97.5% (274/281) (κ=0.80) and no significant discordance (p=0.25). Both assays accurately genotyped all samples in the Performance Panel by the subtype level. The HISCL Gr assay showed concordance rates of about 91% (κ<0.40) and statistically significant discordances with two NAATs (p<0.05). In confirmation tests, the results of RFMP assay were the most consistent with those of Versant 2.0 assay.Conclusions:The three HCV assays provided genotyping and serotyping results with good concordance rates. The two NAATs (RealTimeII and RFMP) showed comparable performance and good agreement. However, the results of the HISCL Gr assay showed statistically significant differences with those of the NAATs.
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22
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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: 1.0] [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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23
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Fernández-Caballero JA, Alvarez M, Chueca N, Pérez AB, García F. The cobas® HCV GT is a new tool that accurately identifies Hepatitis C virus genotypes for clinical practice. PLoS One 2017; 12:e0175564. [PMID: 28410425 PMCID: PMC5391928 DOI: 10.1371/journal.pone.0175564] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2016] [Accepted: 03/28/2017] [Indexed: 12/24/2022] Open
Abstract
Objective We aimed to evaluate the correct assignment of HCV genotype/subtypes 1a and 1b by cobas® HCV genotyping (GT) assay (Roche Molecular Diagnostics) compared with nonstructural protein 5B (NS5B) sequencing. Patients and methods Clinical samples from 153 patients submitted for HCV genotyping were studied. After genotyping with the cobas® HCV GT, sequencing of a 387 bp fragment in the NS5B gene and phylogenetic analysis was employed to compare genotyping results. Major discrepancies were defined as differences in the assigned genotype by cobas® HCV GT and NS5B sequencing (including genotype 1 subtypes 1a and 1b misclassification). Results Overall agreement between the cobas® HCV GT and NS5B sequencing was 98%; all the 1a, 1b, 2, 3 and 4 genotypes identified by cobas® HCV GT were concordant with NS5B sequencing. Three samples tested “indetermined” by cobas® HCV GT assay and were genotyped as 1a, 3a, and 4d by NS5B sequencing. Conclussion These results indicate that the cobas® HCV GT assay correctly identifies HCV genotypes, and points out the importance of additional methods based on DNA sequencing for resolving indeterminate results.
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Affiliation(s)
- J. A. Fernández-Caballero
- Servicio de Microbiología, Complejo Hospitalario Universitario Granada-Hospital PTS, Instituto de Investigación Biosanitaria IBS, Granada, Spain
| | - M. Alvarez
- Servicio de Microbiología, Complejo Hospitalario Universitario Granada-Hospital PTS, Instituto de Investigación Biosanitaria IBS, Granada, Spain
- * E-mail:
| | - N. Chueca
- Servicio de Microbiología, Complejo Hospitalario Universitario Granada-Hospital PTS, Instituto de Investigación Biosanitaria IBS, Granada, Spain
| | - A. B. Pérez
- Servicio de Microbiología, Complejo Hospitalario Universitario Granada-Hospital PTS, Instituto de Investigación Biosanitaria IBS, Granada, Spain
| | - F. García
- Servicio de Microbiología, Complejo Hospitalario Universitario Granada-Hospital PTS, Instituto de Investigación Biosanitaria IBS, Granada, Spain
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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: 1.6] [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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Abstract
Hepatitis C virus (HCV) is a hepatotropic RNA virus that causes progressive liver damage, which might result in liver cirrhosis and hepatocellular carcinoma. Globally, between 64 and 103 million people are chronically infected. Major risk factors for this blood-borne virus infection are unsafe injection drug use and unsterile medical procedures (iatrogenic infections) in countries with high HCV prevalence. Diagnostic procedures include serum HCV antibody testing, HCV RNA measurement, viral genotype and subtype determination and, lately, assessment of resistance-associated substitutions. Various direct-acting antiviral agents (DAAs) have become available, which target three proteins involved in crucial steps of the HCV life cycle: the NS3/4A protease, the NS5A protein and the RNA-dependent RNA polymerase NS5B protein. Combination of two or three of these DAAs can cure (defined as a sustained virological response 12 weeks after treatment) HCV infection in >90% of patients, including populations that have been difficult to treat in the past. As long as a prophylactic vaccine is not available, the HCV pandemic has to be controlled by treatment-as-prevention strategies, effective screening programmes and global access to treatment.
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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: 1.9] [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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Gozlan Y, Ben-Ari Z, Moscona R, Shirazi R, Rakovsky A, Kabat A, Veizman E, Berdichevski T, Weiss P, Cohen-Ezra O, Lurie Y, Gafanovich I, Braun M, Cohen-Naftaly M, Shlomai A, Shibolet O, Zigmond E, Zuckerman E, Carmiel-Haggai M, Nimer A, Hazzan R, Maor Y, Kitay-Cohen Y, Shemer-Avni Y, Kra-Oz Z, Schreiber L, Peleg O, Sierra S, Harrigan PR, Mendelson E, Mor O. HCV genotype-1 subtypes and resistance-associated substitutions in drug-naive and in direct-acting antiviral treatment failure patients. Antivir Ther 2017; 22:431-441. [PMID: 28067632 DOI: 10.3851/imp3123] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/18/2016] [Indexed: 10/20/2022]
Abstract
BACKGROUND Direct-acting antiviral (DAA) treatment regimens and response rates of patients with HCV genotype-1 (GT1) are currently considered subtype-dependent. Identification of clinically relevant resistance-associated substitutions (RASs) in the NS3 and NS5A proteins at baseline and in DAA failures, may also impact clinical decisions. METHODS In a multicentre cohort study (n=308), NS3 or NS5B sequencing (n=248) was used to discriminate between GT1 subtypes. The correlation between baseline NS3 and NS5A RASs on the 12-week sustained virological response (SVR12) rates of 160 of the patients treated with second-generation DAAs was also assessed. Post-treatment resistance analysis was performed on samples from 58 patients exhibiting DAA virological failure. RESULTS GT1a, GT1b and GT1d subtypes were identified in 23.0%, 75.4% and 1.2% of tested samples. GT1b was most prevalent (97.7%, 128/131) among patients born in the former Soviet Union. The Q80K NS3 RAS was identified in 17.5% (10/57) of the GT1a carriers, most of whom were Israeli-born. NS3 and NS5A baseline RASs showed a negligible correlation with SVR12 rates. Treatment-emergent RASs were observed among 8.9% (4/45) and 76.9% (10/13) of first- and second-generation DAA failures, respectively, with D168V/E (NS3), Y93H and L31M (NS5A) being the most prevalent mutations. CONCLUSIONS NS3 sequencing analysis can successfully discriminate between GT1 subtypes and identify NS3 amino acid substitutions. While pre-treatment NS3 and NS5A RASs marginally affect second-generation DAA SVR12 rates, post-treatment resistance analysis should be considered prior to re-therapy.
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Affiliation(s)
- Yael Gozlan
- Central Virology Laboratory, Ministry of Health, Sheba Medical Center, Ramat-Gan, Israel
| | - Ziv Ben-Ari
- Liver Disease Center, Sheba Medical Center, Ramat-Gan, Israel.,The Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Roy Moscona
- Central Virology Laboratory, Ministry of Health, Sheba Medical Center, Ramat-Gan, Israel
| | - Rachel Shirazi
- Central Virology Laboratory, Ministry of Health, Sheba Medical Center, Ramat-Gan, Israel
| | - Aviya Rakovsky
- Central Virology Laboratory, Ministry of Health, Sheba Medical Center, Ramat-Gan, Israel
| | - Arij Kabat
- Central Virology Laboratory, Ministry of Health, Sheba Medical Center, Ramat-Gan, Israel
| | - Ella Veizman
- Liver Disease Center, Sheba Medical Center, Ramat-Gan, Israel
| | | | - Peretz Weiss
- Liver Disease Center, Sheba Medical Center, Ramat-Gan, Israel
| | | | - Yoav Lurie
- Liver Unit, Shaare Zedek Medical Center, Jerusalem, Israel
| | | | - Marius Braun
- The Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.,Liver Institute, Rabin Medical Center, Petah-Tikva, Israel
| | - Michal Cohen-Naftaly
- The Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.,Liver Institute, Rabin Medical Center, Petah-Tikva, Israel
| | - Amir Shlomai
- The Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.,Liver Institute, Rabin Medical Center, Petah-Tikva, Israel
| | - Oren Shibolet
- The Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Gastroenterology, Tel-Aviv Medical Center, Tel Aviv, Israel
| | - Ehud Zigmond
- The Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Gastroenterology, Tel-Aviv Medical Center, Tel Aviv, Israel
| | | | - Michal Carmiel-Haggai
- Liver Unit, Galilee Medical Center, Naharya, Israel.,Faculty of Medicine in the Galilee, Bar-Ilan University, Ramat-Gan, Israel
| | - Assy Nimer
- Faculty of Medicine in the Galilee, Bar-Ilan University, Ramat-Gan, Israel.,Internal Medicine Department, Galilee Medical Center, Naharya, Israel
| | - Rawi Hazzan
- Liver Unit, Haemek Medical Center, Afula, Israel
| | - Yaakov Maor
- Division of Gastroenterology, Kaplan Health Sciences Centre, Department of Medicine, Faculty of Medicine, Hebrew University, Rehovot, Israel
| | - Yona Kitay-Cohen
- Gastroenterology and Hepatology Institute, Meir Medical Center, Kfar Saba, Israel
| | | | - Zipi Kra-Oz
- Virology Laboratory, Rambam Medical Center, Haifa, Israel
| | | | | | - Saleta Sierra
- Institute of Virology, University of Cologne, Cologne, Germany
| | | | - Ella Mendelson
- Central Virology Laboratory, Ministry of Health, Sheba Medical Center, Ramat-Gan, Israel.,School of Public Health, Tel Aviv University, Tel Aviv, Israel
| | - Orna Mor
- Central Virology Laboratory, Ministry of Health, Sheba Medical Center, Ramat-Gan, Israel
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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: 1.8] [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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Craxì A, Perno CF, Viganò M, Ceccherini-Silberstein F, Petta S. From current status to optimization of HCV treatment: Recommendations from an expert panel. Dig Liver Dis 2016; 48:995-1005. [PMID: 27388261 DOI: 10.1016/j.dld.2016.06.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 05/22/2016] [Accepted: 06/08/2016] [Indexed: 02/06/2023]
Abstract
Chronic hepatitis C virus (HCV) infection is a major public health problem at a global level, causing an enormous burden of hepatic and extra-hepatic morbidity and mortality. Treatment of chronic HCV (CHC) has been revolutionized in the last few years by the introduction of highly effective and well tolerated direct acting antiviral agents (DAAs) able to achieve >90% rates of sustained virological response (SVR) in many groups of patients, including those previously excluded from interferon-based regimens. For such reason interferon-free regimens are now the treatments of choice for all patients. Successful anti-HCV treatment can stop liver disease progression and can solve the HCV-related extra hepatic manifestations, eventually reducing both liver-related and overall mortality. Together with the rapidly accumulating data about the evolution of treatment landscape, different guidelines from national and international Liver Scientific Societies have been published until today. However, these recommendations may not be applied worldwide as, due to high treatment costs, most of them identify as priority groups only patients with advanced liver disease. Moreover some types of patients pose clinical management problems for which even the guidelines do not always provide useful answers. With the aim of treatment optimization by filling some of the gaps of the current guidelines and addressing the remaining unmet needs in practice, a group of Italian experts, experienced on treatment of HCV infection, met in Stresa in February 2016. The summary of all the considerations arising from this two-day meeting and the final statements are reported in this position paper.
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Affiliation(s)
- Antonio Craxì
- Department of Gastroenterology, DiBiMIS, University of Palermo, Palermo, Italy
| | - Carlo Federico Perno
- Virology Unit, Department of Experimental Medicine and Surgery, "Tor Vergata" University of Rome, Rome, Italy
| | - Mauro Viganò
- Hepatology Unit, Ospedale San Giuseppe, University of Milan, Milan, Italy
| | | | - Salvatore Petta
- Department of Gastroenterology, DiBiMIS, University of Palermo, Palermo, Italy
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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: 4.3] [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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Gowin E, Bereszyńska I, Adamek A, Kowala-Piaskowska A, Mozer-Lisewska I, Wysocki J, Michalak M, Januszkiewicz-Lewandowska D. The prevalence of mixed genotype infections in Polish patients with hepatitis C. Int J Infect Dis 2016; 43:13-16. [DOI: 10.1016/j.ijid.2015.12.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2015] [Revised: 11/28/2015] [Accepted: 12/05/2015] [Indexed: 10/22/2022] Open
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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 2015; 71:739-50. [DOI: 10.1093/jac/dkv403] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2015] [Accepted: 10/29/2015] [Indexed: 12/22/2022] Open
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Sariguzel FM, Berk E, Gokahmetoglu S, Ercal BD, Celik I. Evaluation of the Abbott Real Time HCV genotype II assay for Hepatitis C virus genotyping. Pak J Med Sci 2015; 31:1136-9. [PMID: 26649001 PMCID: PMC4641270 DOI: 10.12669/pjms.315.7454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Objective: The determination of HCV genotypes and subtypes is very important for the selection of antiviral therapy and epidemiological studies. The aim of this study was to evaluate the performance of Abbott Real Time HCV Genotype II assay in HCV genotyping of HCV infected patients in Kayseri, Turkey. Methods: One hundred patients with chronic hepatitis C admitted to our hospital were evaluated between June 2012 and December 2012, HCV RNA levels were determined by the COBAS® AmpliPrep/COBAS® TaqMan® 48 HCV test. HCV genotyping was investigated by the Abbott Real Time HCV Genotype II assay. With the exception of genotype 1, subtypes of HCV genotypes could not be determined by Abbott assay. Sequencing analysis was used as the reference method. Results: Genotypes 1, 2, 3 and 4 were observed in 70, 4, 2 and 24 of the 100 patients, respectively, by two methods. The concordance between the two systems to determine HCV major genotypes was 100%. Of 70 patients with genotype 1, 66 showed infection with subtype 1b and 4 with subtype 1a by Abbott Real Time HCV Genotype II assay. Using sequence analysis, 61 showed infection with subtype 1b and 9 with subtype 1a. In determining of HCV genotype 1 subtypes, the difference between the two methods was not statistically significant (P>0.05). HCV genotype 4 and 3 samples were found to be subtype 4d and 3a, respectively, by sequence analysis. There were four patients with genotype 2. Sequence analysis revealed that two of these patients had type 2a and the other two had type 2b. Conclusion: The Abbott Real Time HCV Genotype II assay yielded results consistent with sequence analysis. However, further optimization of the Abbott Real Time HCV Genotype II assay for subtype identification of HCV is required.
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Affiliation(s)
- Fatma Mutlu Sariguzel
- Fatma Mutlu Sariguzel, Department of Microbiology, Kayseri Education and Research Hospital, Kayseri, Turkey
| | - Elife Berk
- Elife Berk, Department of Microbiology, Erciyes University Medical School, Kayseri, Turkey
| | - Selma Gokahmetoglu
- Selma Gokahmetoglu, Department of Microbiology, Erciyes University Medical School, Kayseri, Turkey
| | - Baris Derya Ercal
- Baris Derya Ercal, Department of Microbiology, Erciyes University Medical School, Kayseri, Turkey
| | - Ilhami Celik
- Ilhami Celik, Department of Infectious Diseases and Clinical Microbiology, Kayseri Education and Research Hospital, Kayseri, Turkey
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Characterization of Samples Identified as Hepatitis C Virus Genotype 1 without Subtype by Abbott RealTime HCV Genotype II Assay Using the New Abbott HCV Genotype Plus RUO Test. J Clin Microbiol 2015; 54:296-9. [PMID: 26582834 PMCID: PMC4733213 DOI: 10.1128/jcm.02264-15] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 11/11/2015] [Indexed: 01/06/2023] Open
Abstract
Hepatitis C virus (HCV) genotyping continues to be relevant for therapeutic strategies. Some samples are reported as genotype 1 (gt 1) without subtype by the Abbott RealTime HCV Genotype II (GT II) test. To characterize such samples further, the Abbott HCV Genotype Plus RUO (Plus) assay, which targets the core region for gt 1a, gt 1b, and gt 6 detection, was evaluated as a reflex test in reference to NS5B or 5′-untranslated region (UTR)/core region sequencing. Of 3,626 routine samples, results of gt 1 without subtype were received for 171 samples (4.7%), accounting for 11.5% of gt 1 specimens. The Plus assay and sequencing were applied to 98 of those samples. NS5B or 5′-UTR/core region sequencing was successful for 91/98 specimens (92.9%). Plus assay and sequencing results were concordant for 87.9% of specimens (80/91 samples). Sequencing confirmed Plus assay results for 82.6%, 85.7%, 100%, and 89.3% of gt 1a, gt 1b, gt 6, and non-gt 1a/1b/6 results, respectively. Notably, 12 gt 6 samples that had been identified previously as gt 1 without subtype were assigned correctly here; for 25/28 samples reported as “not detected” by the Plus assay, sequencing identified the samples as gt 1 with subtypes other than 1a/1b. The genetic variability of HCV continues to present challenges for the current genotyping platforms regardless of the applied methodology. Samples identified by the GT II assay as gt 1 without subtype can be further resolved and reliably characterized by the new Plus assay.
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Nie B, Zhang G, Guo Y, Li Q, Liu J, Tu Z. Phylogenetic analysis of HCV subgenotypes in patients from Sichuan province in China based on the NS5B region. Int J Mol Med 2015; 36:1028-34. [PMID: 26311523 PMCID: PMC4564081 DOI: 10.3892/ijmm.2015.2321] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2015] [Accepted: 08/13/2015] [Indexed: 12/12/2022] Open
Abstract
The classification of hepatitis C virus (HCV) genotypes is of clinical importance as it may help to predict drug therapy responses and estimate treatment duration. The classical method of HCV subgenotype classification is whole genome sequencing (WGS). However, the high cost and time-consuming nature of WGS limits its usage in clinical practice. A number of studies have been conducted to confirm whether specific regions of HCV could replace WGS in the classification of HCV subgenotypes. In the present study, we used the HCV database to select HCV sequences from different countries. The neighbor-joining method was used to construct phylogenetic trees based on different regions of HCV (core, E1, E2 and NS5B), to confirm which region could replace WGS in subgenotype classification. Our results indicated that the core, E1 and E2 regions could not be used to classify the HCV subgenotype correctly (core failed to recognize subgenotypes c and a, E1 failed to discriminate between subgenotypes a and b, and E2 failed to identify subgenotypes a and c). The NS5B region provided the correct subgenotype classification. The HCV samples (n=153) collected from patients in Sichuan province, (Southwest China) were sequenced and classified based on the NS5B region. The results indicated that the major subgenotype of HCV in patients from Sichuan was 1b (51.6%, n=79); other subgenotypes included 3b (30.1%, n=46), 3a (7.8%, n=12), 6a (8.5%, n=13), 2a (n=2) and 6n (n=1). The data from our analysis may prove to be helpful in future epidemiological investigations of HCV, and may aid in the prevention and clinical treatment of HCV.
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Affiliation(s)
- Bin Nie
- The Key Laboratory of Laboratory Medical Diagnostics, Ministry of Education, Chongqing Medical University, Chongqing 400016, P.R. China
| | - Guangjiong Zhang
- The Key Laboratory of Laboratory Medical Diagnostics, Ministry of Education, Chongqing Medical University, Chongqing 400016, P.R. China
| | - Yongcan Guo
- The Key Laboratory of Laboratory Medical Diagnostics, Ministry of Education, Chongqing Medical University, Chongqing 400016, P.R. China
| | - Qingfeng Li
- The Key Laboratory of Laboratory Medical Diagnostics, Ministry of Education, Chongqing Medical University, Chongqing 400016, P.R. China
| | - Jinbo Liu
- The Key Laboratory of Laboratory Medical Diagnostics, Ministry of Education, Chongqing Medical University, Chongqing 400016, P.R. China
| | - Zhiguang Tu
- The Key Laboratory of Laboratory Medical Diagnostics, Ministry of Education, Chongqing Medical University, Chongqing 400016, P.R. China
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Li HC, Lo SY. Hepatitis C virus: Virology, diagnosis and treatment. World J Hepatol 2015; 7:1377-1389. [PMID: 26052383 PMCID: PMC4450201 DOI: 10.4254/wjh.v7.i10.1377] [Citation(s) in RCA: 89] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2014] [Revised: 12/22/2014] [Accepted: 04/02/2015] [Indexed: 02/06/2023] Open
Abstract
More than twenty years of study has provided a better understanding of hepatitis C virus (HCV) life cycle, including the general properties of viral RNA and proteins. This effort facilitates the development of sensitive diagnostic tools and effective antiviral treatments. At present, serologic screening test is recommended to perform on individuals in the high risk groups and nucleic acid tests are recommended to confirm the active HCV infections. Quantization and genotyping of HCV RNAs are important to determine the optimal duration of anti-viral therapy and predict the likelihood of response. In the early 2000s, pegylated interferon plus ribavirin became the standard anti-HCV treatment. However, this therapy is not ideal. To 2014, boceprevir, telaprevir, simeprevir, sofosbuvir and Harvoni are approved by Food and Drug Administration for the treat of HCV infections. It is likely that the new all-oral, interferon-free, pan-genotyping anti-HCV therapy will be available within the next few years. Majority of HCV infections will be cured by these anti-viral treatments. However, not all patients are expected to be cured due to viral resistance and the high cost of antiviral treatments. Thus, an efficient prophylactic vaccine will be the next challenge in the fight against HCV infection.
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Ho SH, Ng KP, Kaur H, Goh KL. Genotype 3 is the predominant hepatitis C genotype in a multi-ethnic Asian population in Malaysia. Hepatobiliary Pancreat Dis Int 2015; 14:281-6. [PMID: 26063029 DOI: 10.1016/s1499-3872(15)60363-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Genotypes of hepatitis C virus (HCV) are distributed differently across the world. There is a paucity of such data in a multi-ethnic Asian population like Malaysia. The objectives of this study were to determine the distribution of HCV genotypes between major ethnic groups and to ascertain their association with basic demographic variables like age and gender. METHODS This was a cross-sectional prospective study conducted from September 2007 to September 2013. Consecutive patients who were detected to have anti-HCV antibodies in the University of Malaya Medical Centre were included and tested for the presence of HCV RNA using Roche Cobas Amplicor Analyzer and HCV genotype using Roche single Linear Array HCV Genotyping strip. RESULTS Five hundred and ninety-six subjects were found to have positive anti-HCV antibodies during this period of time. However, only 396 (66.4%) were HCV RNA positive and included in the final analysis. Our results showed that HCV genotype 3 was the predominant genotype with overall frequency of 61.9% followed by genotypes 1 (35.9%), 2 (1.8%) and 6 (0.5%). There was a slightly higher prevalence of HCV genotype 3 among the Malays when compared to the Chinese (P=0.043). No other statistical significant differences were observed in the distribution of HCV genotypes among the major ethnic groups. There was also no association between the predominant genotypes and basic demographic variables. CONCLUSIONS In a multi-ethnic Asian society in Malaysia, genotype 3 is the predominant genotype among all the major ethnic groups with genotype 1 as the second commonest genotype. Both genotypes 2 and 6 are uncommon. Neither genotype 4 nor 5 was detected. There is no identification of HCV genotype according to ethnic origin, age and gender.
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Affiliation(s)
- Shiaw-Hooi Ho
- Gastroenterology and Hepatology Unit, Department of Internal Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia.
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Qiu P, Stevens R, Wei B, Lahser F, Howe AYM, Klappenbach JA, Marton MJ. HCV genotyping from NGS short reads and its application in genotype detection from HCV mixed infected plasma. PLoS One 2015; 10:e0122082. [PMID: 25830316 PMCID: PMC4382110 DOI: 10.1371/journal.pone.0122082] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Accepted: 02/10/2015] [Indexed: 12/12/2022] Open
Abstract
Genotyping of hepatitis C virus (HCV) plays an important role in the treatment of HCV. As new genotype-specific treatment options become available, it has become increasingly important to have accurate HCV genotype and subtype information to ensure that the most appropriate treatment regimen is selected. Most current genotyping methods are unable to detect mixed genotypes from two or more HCV infections. Next generation sequencing (NGS) allows for rapid and low cost mass sequencing of viral genomes and provides an opportunity to probe the viral population from a single host. In this paper, the possibility of using short NGS reads for direct HCV genotyping without genome assembly was evaluated. We surveyed the publicly-available genetic content of three HCV drug target regions (NS3, NS5A, NS5B) in terms of whether these genes contained genotype-specific regions that could predict genotype. Six genotypes and 38 subtypes were included in this study. An automated phylogenetic analysis based HCV genotyping method was implemented and used to assess different HCV target gene regions. Candidate regions of 250-bp each were found for all three genes that have enough genetic information to predict HCV genotypes/subtypes. Validation using public datasets shows 100% genotyping accuracy. To test whether these 250-bp regions were sufficient to identify mixed genotypes, we developed a random primer-based method to sequence HCV plasma samples containing mixtures of two HCV genotypes in different ratios. We were able to determine the genotypes without ambiguity and to quantify the ratio of the abundances of the mixed genotypes in the samples. These data provide a proof-of-concept that this random primed, NGS-based short-read genotyping approach does not need prior information about the viral population and is capable of detecting mixed viral infection.
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Affiliation(s)
- Ping Qiu
- Molecular Biomarker and Diagnostics, Merck Research Laboratories, Rahway, New Jersey, United States of America
- * E-mail:
| | - Richard Stevens
- Target & Pathway Biology, Merck Research Laboratories, Boston, Massachusetts, United States of America
| | - Bo Wei
- Molecular Biomarker and Diagnostics, Merck Research Laboratories, Rahway, New Jersey, United States of America
| | - Fred Lahser
- Infectious Diseases and Clinical Virology, Merck Research Laboratories, Kenilworth, New Jersey, United States of America
| | - Anita Y. M. Howe
- Infectious Diseases and Clinical Virology, Merck Research Laboratories, Kenilworth, New Jersey, United States of America
| | - Joel A. Klappenbach
- Target & Pathway Biology, Merck Research Laboratories, Boston, Massachusetts, United States of America
| | - Matthew J. Marton
- Molecular Biomarker and Diagnostics, Merck Research Laboratories, Rahway, New Jersey, United States of America
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Shaheen MA, Idrees M. Evidence-based consensus on the diagnosis, prevention and management of hepatitis C virus disease. World J Hepatol 2015; 7:616-627. [PMID: 25848486 PMCID: PMC4381185 DOI: 10.4254/wjh.v7.i3.616] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Revised: 10/01/2014] [Accepted: 12/10/2014] [Indexed: 02/06/2023] Open
Abstract
Hepatitis C virus (HCV) is a potent human pathogen and is one of the main causes of chronic hepatitis round the world. The present review describes the evidence-based consensus on the diagnosis, prevention and management of HCV disease. Various techniques, for the detection of anti-HCV immunoglobulin G immunoassays, detection of HCV RNA by identifying virus-specific molecules nucleic acid testings, recognition of core antigen for diagnosis of HCV, quantitative antigen assay, have been used to detect HCV RNA and core antigen. Advanced technologies such as nanoparticle-based diagnostic assays, loop-mediated isothermal amplification and aptamers and Ortho trak-C assay have also come to the front that provides best detection results with greater ease and specificity for detection of HCV. It is of immense importance to prevent this infection especially among the sexual partners, injecting drug users, mother-to-infant transmission of HCV, household contact, healthcare workers and people who get tattoos and piercing on their skin. Management of this infection is intended to eradicate it out of the body of patients. Management includes examining the treatment (efficacy and protection), assessment of hepatic condition before commencing therapy, controlling the parameters upon which dual and triple therapies work, monitoring the body after treatment and adjusting the co-factors. Examining the treatment in some special groups of people (HIV/HCV co-infected, hemodialysis patients, renal transplanted patients).
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McCormick AL, Macartney MJ, Abdi-Abshir I, Labbett W, Smith C, Irish D, Webster DP, Haque T. Evaluation of sequencing of HCV core/E1, NS5A and NS5B as a genotype predictive tool in comparison with commercial assays targeting 5'UTR. J Clin Virol 2015; 66:56-9. [PMID: 25866338 DOI: 10.1016/j.jcv.2015.03.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Revised: 02/24/2015] [Accepted: 03/06/2015] [Indexed: 02/05/2023]
Abstract
BACKGROUND Hepatitis C virus (HCV) genotyping is required for tailoring the dose and duration of antiviral therapy, predicting virological response rates, and selecting future treatment options. OBJECTIVE To establish whether baseline genotypes, performed by INNO-LiPA Version 1.0 (v1.0), before 2008, were valid for making treatment decisions now or whether genotypic determination should be repeated. Furthermore, to evaluate concordance between Abbott RealTime genotype II assay (RT) and genotyping by sequencing HCV C/E1, NS5A, NS5B. STUDY DESIGN Genotyping by RT and sequencing was performed on paired historic and current specimens from 50 patients previously baseline genotyped using INNO-LiPA. RESULTS Of 100 samples from 50 patients, ≥ 2 of HCV genomic target regions yielded a sequence that was suitable for genotyping, with 100% concordance, providing no evidence of recombination events. Genotype and subtype prediction based on RT and sequencing agreed in 62.8% historic and 72.7% current specimens, with a kappa coefficient score of 0.48 and 0.76, respectively. LiPA could not subtype 46% of HCV gt1 infections, and LiPA subgenotype was only in agreement with RT and sequencing in 28.6% cases, where matched baseline and historic specimens were available. Three patients were indeterminate by RT, and five patients with HCV gt1 infections could not be subtyped by RT. However, RT revealed mixed infections in five patients where sequencing detected only single HCV infection at 20% threshold. CONCLUSION Genotyping by sequencing, exhibited excellent concordance, with moderate to good agreement with RT, and could resolve RT indeterminates and subtype HCV-gt1 infections not possible by LiPA.
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Affiliation(s)
- Adele L McCormick
- Department of Virology, Royal Free London NHS Foundation Trust, London, UK.
| | | | - Ikran Abdi-Abshir
- Department of Virology, Royal Free London NHS Foundation Trust, London, UK
| | - Wendy Labbett
- Department of Virology, Royal Free London NHS Foundation Trust, London, UK
| | - Colette Smith
- Department of Infection and Population Health, University College London, UK
| | - Dianne Irish
- Department of Virology, Royal Free London NHS Foundation Trust, London, UK
| | - Daniel P Webster
- Department of Virology, Royal Free London NHS Foundation Trust, London, UK
| | - Tanzina Haque
- Department of Virology, Royal Free London NHS Foundation Trust, London, UK
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Comparison of Abbott RealTime HCV Genotype II with Versant line probe assay 2.0 for hepatitis C virus genotyping. J Clin Microbiol 2015; 53:1754-7. [PMID: 25740780 DOI: 10.1128/jcm.03548-14] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2014] [Accepted: 03/01/2015] [Indexed: 11/20/2022] Open
Abstract
Genotyping and subtyping of 225 samples with hepatitis C virus (HCV) genotype 1, 2, 3, or 6 infection were done with Versant LiPA 2.0 and Abbott RealTime HCV Genotype (GT) II by using direct sequencing of the NS5B and 5' untranslated regions as the reference standards. The concordance rates were >99.2% for genotypes and 96.1% for subtypes 1a and 1b. Both the Abbott RealTime and Versant LiPA assays can accurately determine hepatitis C virus genotypes. (This study has been registered at ClinicalTrials.gov under registration no. NCT00979979.).
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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: 7.3] [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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The need for a sequencing-based assay to supplement the Abbott m2000 RealTime HCV Genotype II assay: A 1 year analysis. J Clin Virol 2014; 60:301-4. [DOI: 10.1016/j.jcv.2014.04.005] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2014] [Revised: 03/29/2014] [Accepted: 04/06/2014] [Indexed: 02/05/2023]
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KASL clinical practice guidelines: management of hepatitis C. Clin Mol Hepatol 2014; 20:89-136. [PMID: 25032178 PMCID: PMC4099340 DOI: 10.3350/cmh.2014.20.2.89] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Key Words] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2014] [Accepted: 05/20/2014] [Indexed: 12/16/2022] Open
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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: 20] [Impact Index Per Article: 2.0] [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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Wyles DL, Gutierrez JA. Importance of HCV genotype 1 subtypes for drug resistance and response to therapy. J Viral Hepat 2014; 21:229-40. [PMID: 24597691 DOI: 10.1111/jvh.12230] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2013] [Accepted: 12/12/2013] [Indexed: 12/11/2022]
Abstract
The treatment for patients infected with hepatitis C virus (HCV) genotype 1 has undergone major changes with the availability of direct-acting antivirals. Triple therapy, containing telaprevir or boceprevir, first-wave NS3 protease inhibitors, in combination with peginterferon and ribavirin, improved rates of sustained virologic response compared with peginterferon and ribavirin alone in patients with HCV genotype 1. However, the development of drug-resistant variants is a concern. In patients treated with telaprevir or boceprevir, different patterns of resistance are observed for the two major HCV genotype 1 subtypes, 1a and 1b. Genotype 1b is associated with a lower rate of resistant variant selection and better response to triple therapy compared with genotype 1a. Similar subtype-specific patterns have been observed for investigational direct-acting antivirals, including second-wave NS3 protease inhibitors, NS5A inhibitors and non-nucleoside NS5B inhibitors. This review explores resistance to approved and investigational direct-acting antivirals for the treatment of HCV, focusing on the differences between genotype 1a and genotype 1b. Finally, given the importance of HCV genotype 1 subtype on resistance and treatment outcomes, clinicians must also be aware of the tests currently available for genotype subtyping and their limitations.
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Affiliation(s)
- D L Wyles
- Division of Infectious Diseases, University of California, San Diego, CA, USA
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