Please use this identifier to cite or link to this item: https://repositorio.unifesp.br/handle/11600/36220
Title: On Hepatitis C Virus Evolution: the Interaction between Virus and Host towards Treatment Outcome
Authors: Bittar, Cintia
Gomes Jardim, Ana Carolina
Tomonari Yamasaki, Lilian Hiromi
Aparecida Carareto, Claudia Marcia
Rebello Pinho, Joao Renato
Lemey, Philippe
Mello, Isabel Maria Vicente Guedes de Carvalho [UNIFESP]
Rahal, Paula
UNESP São Paulo State Univ
Universidade de São Paulo (USP)
Albert Einstein Israeli Hosp
Katholieke Univ Leuven
Universidade Federal de São Paulo (UNIFESP)
Issue Date: 25-Apr-2013
Publisher: Public Library Science
Citation: Plos One. San Francisco: Public Library Science, v. 8, n. 4, 13 p., 2013.
Abstract: Background: Hepatitis C is a disease spread throughout the world. Hepatitis C virus (HCV), the etiological agent of this disease, is a single-stranded positive RNA virus. Its genome encodes a single precursor protein that yields ten proteins after processing. NS5A, one of the non-structural viral proteins, is most associated with interferon-based therapy response, the approved treatment for hepatitis C in Brazil. HCV has a high mutation rate and therefore high variability, which may be important for evading the immune system and response to therapy. the aim of this study was to analyze the evolution of NS5A quasispecies before, during, and after treatment in patients infected with HCV genotype 3a who presented different therapy responses.Methods: Viral RNA was extracted, cDNA was synthesized, the NS5A region was amplified and cloned, and 15 clones from each time-point were sequenced. the sequences were analyzed for evolutionary history, genetic diversity and selection.Results: This analysis shows that the viral population that persists after treatment for most non-responder patients is present in before-treatment samples, suggesting it is adapted to evade treatment. in contrast, the population found in before treatment samples from most end-of-treatment responder patients either are selected out or appears in low frequency after relapse, therefore changing the population structure. the exceptions illustrate the uniqueness of the evolutionary process, and therefore the treatment resistance process, in each patient.Conclusion: Although evolutionary behavior throughout treatment showed that each patient presented different population dynamics unrelated to therapy outcome, it seems that the viral population from non-responders that resists the treatment already had strains that could evade therapy before it started.
URI: http://repositorio.unifesp.br/handle/11600/36220
ISSN: 1932-6203
Other Identifiers: http://dx.doi.org/10.1371/journal.pone.0062393
Appears in Collections:Em verificação - Geral

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