Cargando…
Clinical Application of Estimating Hepatitis B Virus Quasispecies Complexity by Massive Sequencing: Correlation between Natural Evolution and On-Treatment Evolution
AIM: To evaluate HBV quasispecies (QA) complexity in the preCore/Core regions in relation to HBeAg status, and explore QA changes under natural evolution and nucleoside analogue (NUC) treatment. METHODS: Ultra-deep pyrosequencing of HBV preCore/Core regions in 30 sequential samples (baseline [diagno...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4231103/ https://www.ncbi.nlm.nih.gov/pubmed/25393280 http://dx.doi.org/10.1371/journal.pone.0112306 |
_version_ | 1782344384333742080 |
---|---|
author | Homs, Maria Caballero, Andrea Gregori, Josep Tabernero, David Quer, Josep Nieto, Leonardo Esteban, Rafael Buti, Maria Rodriguez-Frias, Francisco |
author_facet | Homs, Maria Caballero, Andrea Gregori, Josep Tabernero, David Quer, Josep Nieto, Leonardo Esteban, Rafael Buti, Maria Rodriguez-Frias, Francisco |
author_sort | Homs, Maria |
collection | PubMed |
description | AIM: To evaluate HBV quasispecies (QA) complexity in the preCore/Core regions in relation to HBeAg status, and explore QA changes under natural evolution and nucleoside analogue (NUC) treatment. METHODS: Ultra-deep pyrosequencing of HBV preCore/Core regions in 30 sequential samples (baseline [diagnosis], treatment-free, and treatment-nonresponse) from 10 retrospectively selected patients grouped according to HBeAg status over time: HBeAg+ (N = 4), HBeAg- (N = 2), and fluctuating HBeAg (transient seroreversion/seroconversion pattern) (N = 4). QA complexity was defined by Shannon entropy, mutation frequency, nucleotide diversity, and mutation frequency of amino acids (MfAA) in preCore and Core. RESULTS: The QA was less complex in HBeAg+ than in HBeAg- or fluctuating HBeAg. High complexity in preCore was associated with decreased viral replication (preCore MfAA negatively correlated with HBV-DNA, p = 0.005). QA complexity in the treatment-free period negatively correlated with values seen during treatment. Specific variants were mainly selected in the Core region in HBeAg- and fluctuating HBeAg patients, suggesting higher immune pressure than in HBeAg+. CONCLUSIONS: The negative correlation between QA natural evolution and on-treatment evolution indicates the importance of pre-treatment QA study to predict QA changes in NUC nonresponders. Study of QA complexity could be useful for managing HBV infection. |
format | Online Article Text |
id | pubmed-4231103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42311032014-11-18 Clinical Application of Estimating Hepatitis B Virus Quasispecies Complexity by Massive Sequencing: Correlation between Natural Evolution and On-Treatment Evolution Homs, Maria Caballero, Andrea Gregori, Josep Tabernero, David Quer, Josep Nieto, Leonardo Esteban, Rafael Buti, Maria Rodriguez-Frias, Francisco PLoS One Research Article AIM: To evaluate HBV quasispecies (QA) complexity in the preCore/Core regions in relation to HBeAg status, and explore QA changes under natural evolution and nucleoside analogue (NUC) treatment. METHODS: Ultra-deep pyrosequencing of HBV preCore/Core regions in 30 sequential samples (baseline [diagnosis], treatment-free, and treatment-nonresponse) from 10 retrospectively selected patients grouped according to HBeAg status over time: HBeAg+ (N = 4), HBeAg- (N = 2), and fluctuating HBeAg (transient seroreversion/seroconversion pattern) (N = 4). QA complexity was defined by Shannon entropy, mutation frequency, nucleotide diversity, and mutation frequency of amino acids (MfAA) in preCore and Core. RESULTS: The QA was less complex in HBeAg+ than in HBeAg- or fluctuating HBeAg. High complexity in preCore was associated with decreased viral replication (preCore MfAA negatively correlated with HBV-DNA, p = 0.005). QA complexity in the treatment-free period negatively correlated with values seen during treatment. Specific variants were mainly selected in the Core region in HBeAg- and fluctuating HBeAg patients, suggesting higher immune pressure than in HBeAg+. CONCLUSIONS: The negative correlation between QA natural evolution and on-treatment evolution indicates the importance of pre-treatment QA study to predict QA changes in NUC nonresponders. Study of QA complexity could be useful for managing HBV infection. Public Library of Science 2014-11-13 /pmc/articles/PMC4231103/ /pubmed/25393280 http://dx.doi.org/10.1371/journal.pone.0112306 Text en © 2014 Homs 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 Homs, Maria Caballero, Andrea Gregori, Josep Tabernero, David Quer, Josep Nieto, Leonardo Esteban, Rafael Buti, Maria Rodriguez-Frias, Francisco Clinical Application of Estimating Hepatitis B Virus Quasispecies Complexity by Massive Sequencing: Correlation between Natural Evolution and On-Treatment Evolution |
title | Clinical Application of Estimating Hepatitis B Virus Quasispecies Complexity by Massive Sequencing: Correlation between Natural Evolution and On-Treatment Evolution |
title_full | Clinical Application of Estimating Hepatitis B Virus Quasispecies Complexity by Massive Sequencing: Correlation between Natural Evolution and On-Treatment Evolution |
title_fullStr | Clinical Application of Estimating Hepatitis B Virus Quasispecies Complexity by Massive Sequencing: Correlation between Natural Evolution and On-Treatment Evolution |
title_full_unstemmed | Clinical Application of Estimating Hepatitis B Virus Quasispecies Complexity by Massive Sequencing: Correlation between Natural Evolution and On-Treatment Evolution |
title_short | Clinical Application of Estimating Hepatitis B Virus Quasispecies Complexity by Massive Sequencing: Correlation between Natural Evolution and On-Treatment Evolution |
title_sort | clinical application of estimating hepatitis b virus quasispecies complexity by massive sequencing: correlation between natural evolution and on-treatment evolution |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4231103/ https://www.ncbi.nlm.nih.gov/pubmed/25393280 http://dx.doi.org/10.1371/journal.pone.0112306 |
work_keys_str_mv | AT homsmaria clinicalapplicationofestimatinghepatitisbvirusquasispeciescomplexitybymassivesequencingcorrelationbetweennaturalevolutionandontreatmentevolution AT caballeroandrea clinicalapplicationofestimatinghepatitisbvirusquasispeciescomplexitybymassivesequencingcorrelationbetweennaturalevolutionandontreatmentevolution AT gregorijosep clinicalapplicationofestimatinghepatitisbvirusquasispeciescomplexitybymassivesequencingcorrelationbetweennaturalevolutionandontreatmentevolution AT tabernerodavid clinicalapplicationofestimatinghepatitisbvirusquasispeciescomplexitybymassivesequencingcorrelationbetweennaturalevolutionandontreatmentevolution AT querjosep clinicalapplicationofestimatinghepatitisbvirusquasispeciescomplexitybymassivesequencingcorrelationbetweennaturalevolutionandontreatmentevolution AT nietoleonardo clinicalapplicationofestimatinghepatitisbvirusquasispeciescomplexitybymassivesequencingcorrelationbetweennaturalevolutionandontreatmentevolution AT estebanrafael clinicalapplicationofestimatinghepatitisbvirusquasispeciescomplexitybymassivesequencingcorrelationbetweennaturalevolutionandontreatmentevolution AT butimaria clinicalapplicationofestimatinghepatitisbvirusquasispeciescomplexitybymassivesequencingcorrelationbetweennaturalevolutionandontreatmentevolution AT rodriguezfriasfrancisco clinicalapplicationofestimatinghepatitisbvirusquasispeciescomplexitybymassivesequencingcorrelationbetweennaturalevolutionandontreatmentevolution |