Title |
Predominance of hepatitis C virus Q80K among NS3 baseline-resistance-associated amino acid variants in direct-antiviral-agent-naïve patients with chronic hepatitis: single-centre experience
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Published in |
Archives of Virology, August 2015
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DOI | 10.1007/s00705-015-2563-3 |
Pubmed ID | |
Authors |
Tina Ruggiero, Alex Proietti, Lucio Boglione, Maria Grazia Milia, Tiziano Allice, Elisa Burdino, Giancarlo Orofino, Stefano Bonora, Giovanni Di Perri, Valeria Ghisetti |
Abstract |
In the era of direct-acting antiviral agents (DAAs), hepatitis C virus (HCV) genotyping tests at baseline are controversial. The HCV NS3-Q80K polymorphism is associated with resistance to the recently approved NS3 inhibitor simeprevir (SMV) when combined with PEG-interferon and ribavirin (PEG-IFN/RBV) and alternative therapy should be considered for patients with baseline Q80K. The aim of this study was to provide an estimate of Q80K prevalence at baseline in a study group of 205 DAA-naïve patients (21 % of them with HIV coinfection) using NS3 full-population direct sequencing to detect resistance-associated amino acid variants (RAVs). NS3 RAVs were identified in 56 patients (27.3 %). Q80K was the most frequently reported one (41 %), in both HIV/HCV-coinfected and HCV-monoinfected patients, but it was only detectable in cases of HCV-subtype 1a infection. Therefore, in clinical practice, an NS3-Q80K genotyping test prior to simeprevir plus PEG-IFN/RBV treatment is highly recommended. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Other | 5 | 26% |
Student > Master | 3 | 16% |
Student > Bachelor | 2 | 11% |
Researcher | 2 | 11% |
Student > Ph. D. Student | 1 | 5% |
Other | 3 | 16% |
Unknown | 3 | 16% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 7 | 37% |
Immunology and Microbiology | 3 | 16% |
Agricultural and Biological Sciences | 2 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
Economics, Econometrics and Finance | 1 | 5% |
Other | 1 | 5% |
Unknown | 4 | 21% |