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Deep Sequencing Analysis of HCV NS3 Resistance-Associated Variants and Mutation Linkage in Liver Transplant Recipients
Viral variants with decreased susceptibility to HCV protease inhibitors (PIs) occur naturally and preexist at low levels within HCV populations. In patients failing PI monotherapy, single and double mutants conferring intermediate to high-level resistance to PIs have been selected in vivo. The abund...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3726766/ https://www.ncbi.nlm.nih.gov/pubmed/23922778 http://dx.doi.org/10.1371/journal.pone.0069698 |
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author | Kirst, Mariana E. Li, Eric C. Wang, Cindy X. Dong, Hui-Jia Liu, Chen Fried, Michael W. Nelson, David R. Wang, Gary P. |
author_facet | Kirst, Mariana E. Li, Eric C. Wang, Cindy X. Dong, Hui-Jia Liu, Chen Fried, Michael W. Nelson, David R. Wang, Gary P. |
author_sort | Kirst, Mariana E. |
collection | PubMed |
description | Viral variants with decreased susceptibility to HCV protease inhibitors (PIs) occur naturally and preexist at low levels within HCV populations. In patients failing PI monotherapy, single and double mutants conferring intermediate to high-level resistance to PIs have been selected in vivo. The abundance, temporal dynamics and linkage of naturally occurring resistance-associated variants (RAVs), however, have not been characterized in detail. Here, using high-density pyrosequencing, we analyzed HCV NS3 gene segments from 20 subjects with chronic HCV infection, including 12 subjects before and after liver transplantation. Bioinformatics analysis revealed that Q80 substitution was a dominant variant in 40% of the subjects, whereas other RAVs circulate at low levels within quasispecies populations. Low frequency mutation linkage was detectable by Illumina paired-end sequencing in as low as 0.5% of the mock populations constructed from in vitro RNA transcripts but were uncommon in vivo. We show that naturally occurring RAVs are common and can persist long term following liver transplant at low levels not readily detectable by conventional sequencing. Our results indicate that mutation linkage at low levels could be identified using the Illumina paired-end approach. The methods described here should facilitate the analysis of low frequency HCV drug resistance, mutation linkage and evolution, which may inform future therapeutic strategies in patients undergoing direct acting antiviral therapies. |
format | Online Article Text |
id | pubmed-3726766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37267662013-08-06 Deep Sequencing Analysis of HCV NS3 Resistance-Associated Variants and Mutation Linkage in Liver Transplant Recipients Kirst, Mariana E. Li, Eric C. Wang, Cindy X. Dong, Hui-Jia Liu, Chen Fried, Michael W. Nelson, David R. Wang, Gary P. PLoS One Research Article Viral variants with decreased susceptibility to HCV protease inhibitors (PIs) occur naturally and preexist at low levels within HCV populations. In patients failing PI monotherapy, single and double mutants conferring intermediate to high-level resistance to PIs have been selected in vivo. The abundance, temporal dynamics and linkage of naturally occurring resistance-associated variants (RAVs), however, have not been characterized in detail. Here, using high-density pyrosequencing, we analyzed HCV NS3 gene segments from 20 subjects with chronic HCV infection, including 12 subjects before and after liver transplantation. Bioinformatics analysis revealed that Q80 substitution was a dominant variant in 40% of the subjects, whereas other RAVs circulate at low levels within quasispecies populations. Low frequency mutation linkage was detectable by Illumina paired-end sequencing in as low as 0.5% of the mock populations constructed from in vitro RNA transcripts but were uncommon in vivo. We show that naturally occurring RAVs are common and can persist long term following liver transplant at low levels not readily detectable by conventional sequencing. Our results indicate that mutation linkage at low levels could be identified using the Illumina paired-end approach. The methods described here should facilitate the analysis of low frequency HCV drug resistance, mutation linkage and evolution, which may inform future therapeutic strategies in patients undergoing direct acting antiviral therapies. Public Library of Science 2013-07-29 /pmc/articles/PMC3726766/ /pubmed/23922778 http://dx.doi.org/10.1371/journal.pone.0069698 Text en © 2013 Kirst et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Kirst, Mariana E. Li, Eric C. Wang, Cindy X. Dong, Hui-Jia Liu, Chen Fried, Michael W. Nelson, David R. Wang, Gary P. Deep Sequencing Analysis of HCV NS3 Resistance-Associated Variants and Mutation Linkage in Liver Transplant Recipients |
title | Deep Sequencing Analysis of HCV NS3 Resistance-Associated Variants and Mutation Linkage in Liver Transplant Recipients |
title_full | Deep Sequencing Analysis of HCV NS3 Resistance-Associated Variants and Mutation Linkage in Liver Transplant Recipients |
title_fullStr | Deep Sequencing Analysis of HCV NS3 Resistance-Associated Variants and Mutation Linkage in Liver Transplant Recipients |
title_full_unstemmed | Deep Sequencing Analysis of HCV NS3 Resistance-Associated Variants and Mutation Linkage in Liver Transplant Recipients |
title_short | Deep Sequencing Analysis of HCV NS3 Resistance-Associated Variants and Mutation Linkage in Liver Transplant Recipients |
title_sort | deep sequencing analysis of hcv ns3 resistance-associated variants and mutation linkage in liver transplant recipients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3726766/ https://www.ncbi.nlm.nih.gov/pubmed/23922778 http://dx.doi.org/10.1371/journal.pone.0069698 |
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