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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |