Literature DB >> 19463971

The role of positive selection in hepatitis C virus.

José M Cuevas1, Michael Gonzalez, Manuela Torres-Puente, Nuria Jiménez-Hernández, María A Bracho, Inmaculada García-Robles, Fernando González-Candelas, Andrés Moya.   

Abstract

Hepatitis C virus (HCV) is a major health problem worldwide, infecting an estimated 170 million people. In this study, we have employed a large data set of sequences (14,654 sequences from between 25 and 100 clone sequences per analyzed region and per patient) from 67 patients infected with HCV genotype 1 (23 subtype 1a and 44 subtype 1b). For all patients, a sample prior to combined therapy with alpha interferon plus ribavirin was available, whereas for some patients additional samples after 6 or 12 months of treatment were also available. Twenty-seven patients responded to treatment (12 subtype 1a and 15 subtype 1b) and forty patients did not respond to treatment (11 subtype 1a vs. 29 subtype 1b). Two regions of the HCV genome were analyzed, one compressing the hypervariable regions (HVR1, HVR2 and HVR3) of the envelope 2 glycoprotein and another one including the interferon sensitive determining region (ISDR) and the V3 domain of the NS5A protein. Previously (Cuevas, J.M., Torres-Puente, M., Jiménez-Hernández, N., Bracho, M.A., García-Robles, I., Wrobel, B., Carnicer, F., del Olmo, J., Ortega, E., Moya, A., González-Candelas, F., 2008b. Genetic variability of hepatitis C virus before and after combined therapy of interferon plus ribavirin. Plos One 3 (8), e3058), several amino acid positions in both regions analyzed were detected to be under positive selection. Here, we have compared the amino acid composition of each positively selected position between responder and non-responder patients for both subtypes. If we exclude some non-conclusive cases, no clear differences were detected in any case. In conclusion, identifying specific positions as completely discriminatory of treatment response seems to be a difficult task. Our results, in concordance with previous studies, suggest that HCV evasion strategies are more likely based on a global increased variability, which would yield combinations of mutations with an increased resistance, than on the fixation of specific amino acids conferring resistance to antiviral treatment or immune response. In this sense, the particular systemic response from each patient could play an essential role in determining the outcome of the antiviral treatment.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19463971     DOI: 10.1016/j.meegid.2009.05.007

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  6 in total

Review 1.  Hepatitis C virus genetic variability and evolution.

Authors:  Natalia Echeverría; Gonzalo Moratorio; Juan Cristina; Pilar Moreno
Journal:  World J Hepatol       Date:  2015-04-28

2.  Patient-to-patient transmission of hepatitis C virus (HCV) during colonoscopy diagnosis.

Authors:  Fernando González-Candelas; Silvia Guiral; Rosa Carbó; Ana Valero; Hermelinda Vanaclocha; Francisco González; Maria Alma Bracho
Journal:  Virol J       Date:  2010-09-08       Impact factor: 4.099

3.  Within-host dynamics of the hepatitis C virus quasispecies population in HIV-1/HCV coinfected patients.

Authors:  Flavia Bernini; Erika Ebranati; Chiara De Maddalena; Renata Shkjezi; Laura Milazzo; Alessandra Lo Presti; Massimo Ciccozzi; Massimo Galli; Gianguglielmo Zehender
Journal:  PLoS One       Date:  2011-01-31       Impact factor: 3.240

4.  A novel approach to identify candidate prognostic factors for hepatitis C treatment response integrating clinical and viral genetic data.

Authors:  Alicia Amadoz; Fernando González-Candelas
Journal:  Evol Bioinform Online       Date:  2015-02-23       Impact factor: 1.625

Review 5.  Hypervariable Region 1 in Envelope Protein 2 of Hepatitis C Virus: A Linchpin in Neutralizing Antibody Evasion and Viral Entry.

Authors:  Jannick Prentoe; Jens Bukh
Journal:  Front Immunol       Date:  2018-09-27       Impact factor: 7.561

6.  Baseline Amino Acid Substitutions in the NS5A ISDR and PKR Binding Domain of Hepatitis C and Different Fibrosis Levels and Levels of Development of Hepatocellular Carcinoma in Patients Treated with DAAs.

Authors:  Stefania Paolucci; Antonio Piralla; Federica Novazzi; Alice Fratini; Renato Maserati; Roberto Gulminetti; Stefano Novati; Giorgio Barbarini; Paolo Sacchi; Annalisa De Silvestri; Fausto Baldanti
Journal:  Viruses       Date:  2020-02-25       Impact factor: 5.048

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.