Cargando…

Deep sequencing of hepatitis C virus hypervariable region 1 reveals no correlation between genetic heterogeneity and antiviral treatment outcome

BACKGROUND: Hypervariable region 1 (HVR1) contained within envelope protein 2 (E2) gene is the most variable part of HCV genome and its translation product is a major target for the host immune response. Variability within HVR1 may facilitate evasion of the immune response and could affect treatment...

Descripción completa

Detalles Bibliográficos
Autores principales: Caraballo Cortés, Kamila, Zagordi, Osvaldo, Perlejewski, Karol, Laskus, Tomasz, Maroszek, Krzysztof, Bukowska-Ośko, Iwona, Pawełczyk, Agnieszka, Płoski, Rafał, Berak, Hanna, Horban, Andrzej, Radkowski, Marek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4226954/
https://www.ncbi.nlm.nih.gov/pubmed/25016390
http://dx.doi.org/10.1186/1471-2334-14-389
_version_ 1782343702247636992
author Caraballo Cortés, Kamila
Zagordi, Osvaldo
Perlejewski, Karol
Laskus, Tomasz
Maroszek, Krzysztof
Bukowska-Ośko, Iwona
Pawełczyk, Agnieszka
Płoski, Rafał
Berak, Hanna
Horban, Andrzej
Radkowski, Marek
author_facet Caraballo Cortés, Kamila
Zagordi, Osvaldo
Perlejewski, Karol
Laskus, Tomasz
Maroszek, Krzysztof
Bukowska-Ośko, Iwona
Pawełczyk, Agnieszka
Płoski, Rafał
Berak, Hanna
Horban, Andrzej
Radkowski, Marek
author_sort Caraballo Cortés, Kamila
collection PubMed
description BACKGROUND: Hypervariable region 1 (HVR1) contained within envelope protein 2 (E2) gene is the most variable part of HCV genome and its translation product is a major target for the host immune response. Variability within HVR1 may facilitate evasion of the immune response and could affect treatment outcome. The aim of the study was to analyze the impact of HVR1 heterogeneity employing sensitive ultra-deep sequencing, on the outcome of PEG-IFN-α (pegylated interferon α) and ribavirin treatment. METHODS: HVR1 sequences were amplified from pretreatment serum samples of 25 patients infected with genotype 1b HCV (12 responders and 13 non-responders) and were subjected to pyrosequencing (GS Junior, 454/Roche). Reads were corrected for sequencing error using ShoRAH software, while population reconstruction was done using three different minimal variant frequency cut-offs of 1%, 2% and 5%. Statistical analysis was done using Mann–Whitney and Fisher’s exact tests. RESULTS: Complexity, Shannon entropy, nucleotide diversity per site, genetic distance and the number of genetic substitutions were not significantly different between responders and non-responders, when analyzing viral populations at any of the three frequencies (≥1%, ≥2% and ≥5%). When clonal sample was used to determine pyrosequencing error, 4% of reads were found to be incorrect and the most abundant variant was present at a frequency of 1.48%. Use of ShoRAH reduced the sequencing error to 1%, with the most abundant erroneous variant present at frequency of 0.5%. CONCLUSIONS: While deep sequencing revealed complex genetic heterogeneity of HVR1 in chronic hepatitis C patients, there was no correlation between treatment outcome and any of the analyzed quasispecies parameters.
format Online
Article
Text
id pubmed-4226954
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-42269542014-11-12 Deep sequencing of hepatitis C virus hypervariable region 1 reveals no correlation between genetic heterogeneity and antiviral treatment outcome Caraballo Cortés, Kamila Zagordi, Osvaldo Perlejewski, Karol Laskus, Tomasz Maroszek, Krzysztof Bukowska-Ośko, Iwona Pawełczyk, Agnieszka Płoski, Rafał Berak, Hanna Horban, Andrzej Radkowski, Marek BMC Infect Dis Research Article BACKGROUND: Hypervariable region 1 (HVR1) contained within envelope protein 2 (E2) gene is the most variable part of HCV genome and its translation product is a major target for the host immune response. Variability within HVR1 may facilitate evasion of the immune response and could affect treatment outcome. The aim of the study was to analyze the impact of HVR1 heterogeneity employing sensitive ultra-deep sequencing, on the outcome of PEG-IFN-α (pegylated interferon α) and ribavirin treatment. METHODS: HVR1 sequences were amplified from pretreatment serum samples of 25 patients infected with genotype 1b HCV (12 responders and 13 non-responders) and were subjected to pyrosequencing (GS Junior, 454/Roche). Reads were corrected for sequencing error using ShoRAH software, while population reconstruction was done using three different minimal variant frequency cut-offs of 1%, 2% and 5%. Statistical analysis was done using Mann–Whitney and Fisher’s exact tests. RESULTS: Complexity, Shannon entropy, nucleotide diversity per site, genetic distance and the number of genetic substitutions were not significantly different between responders and non-responders, when analyzing viral populations at any of the three frequencies (≥1%, ≥2% and ≥5%). When clonal sample was used to determine pyrosequencing error, 4% of reads were found to be incorrect and the most abundant variant was present at a frequency of 1.48%. Use of ShoRAH reduced the sequencing error to 1%, with the most abundant erroneous variant present at frequency of 0.5%. CONCLUSIONS: While deep sequencing revealed complex genetic heterogeneity of HVR1 in chronic hepatitis C patients, there was no correlation between treatment outcome and any of the analyzed quasispecies parameters. BioMed Central 2014-07-13 /pmc/articles/PMC4226954/ /pubmed/25016390 http://dx.doi.org/10.1186/1471-2334-14-389 Text en Copyright © 2014 Carabello Cortés et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Caraballo Cortés, Kamila
Zagordi, Osvaldo
Perlejewski, Karol
Laskus, Tomasz
Maroszek, Krzysztof
Bukowska-Ośko, Iwona
Pawełczyk, Agnieszka
Płoski, Rafał
Berak, Hanna
Horban, Andrzej
Radkowski, Marek
Deep sequencing of hepatitis C virus hypervariable region 1 reveals no correlation between genetic heterogeneity and antiviral treatment outcome
title Deep sequencing of hepatitis C virus hypervariable region 1 reveals no correlation between genetic heterogeneity and antiviral treatment outcome
title_full Deep sequencing of hepatitis C virus hypervariable region 1 reveals no correlation between genetic heterogeneity and antiviral treatment outcome
title_fullStr Deep sequencing of hepatitis C virus hypervariable region 1 reveals no correlation between genetic heterogeneity and antiviral treatment outcome
title_full_unstemmed Deep sequencing of hepatitis C virus hypervariable region 1 reveals no correlation between genetic heterogeneity and antiviral treatment outcome
title_short Deep sequencing of hepatitis C virus hypervariable region 1 reveals no correlation between genetic heterogeneity and antiviral treatment outcome
title_sort deep sequencing of hepatitis c virus hypervariable region 1 reveals no correlation between genetic heterogeneity and antiviral treatment outcome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4226954/
https://www.ncbi.nlm.nih.gov/pubmed/25016390
http://dx.doi.org/10.1186/1471-2334-14-389
work_keys_str_mv AT caraballocorteskamila deepsequencingofhepatitiscvirushypervariableregion1revealsnocorrelationbetweengeneticheterogeneityandantiviraltreatmentoutcome
AT zagordiosvaldo deepsequencingofhepatitiscvirushypervariableregion1revealsnocorrelationbetweengeneticheterogeneityandantiviraltreatmentoutcome
AT perlejewskikarol deepsequencingofhepatitiscvirushypervariableregion1revealsnocorrelationbetweengeneticheterogeneityandantiviraltreatmentoutcome
AT laskustomasz deepsequencingofhepatitiscvirushypervariableregion1revealsnocorrelationbetweengeneticheterogeneityandantiviraltreatmentoutcome
AT maroszekkrzysztof deepsequencingofhepatitiscvirushypervariableregion1revealsnocorrelationbetweengeneticheterogeneityandantiviraltreatmentoutcome
AT bukowskaoskoiwona deepsequencingofhepatitiscvirushypervariableregion1revealsnocorrelationbetweengeneticheterogeneityandantiviraltreatmentoutcome
AT pawełczykagnieszka deepsequencingofhepatitiscvirushypervariableregion1revealsnocorrelationbetweengeneticheterogeneityandantiviraltreatmentoutcome
AT płoskirafał deepsequencingofhepatitiscvirushypervariableregion1revealsnocorrelationbetweengeneticheterogeneityandantiviraltreatmentoutcome
AT berakhanna deepsequencingofhepatitiscvirushypervariableregion1revealsnocorrelationbetweengeneticheterogeneityandantiviraltreatmentoutcome
AT horbanandrzej deepsequencingofhepatitiscvirushypervariableregion1revealsnocorrelationbetweengeneticheterogeneityandantiviraltreatmentoutcome
AT radkowskimarek deepsequencingofhepatitiscvirushypervariableregion1revealsnocorrelationbetweengeneticheterogeneityandantiviraltreatmentoutcome