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Dynamics of HIV-1 Quasispecies during Antiviral Treatment Dissected Using Ultra-Deep Pyrosequencing

BACKGROUND: Ultra-deep pyrosequencing (UDPS) allows identification of rare HIV-1 variants and minority drug resistance mutations, which are not detectable by standard sequencing. PRINCIPAL FINDINGS: Here, UDPS was used to analyze the dynamics of HIV-1 genetic variation in reverse transcriptase (RT)...

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Autores principales: Hedskog, Charlotte, Mild, Mattias, Jernberg, Johanna, Sherwood, Ellen, Bratt, Göran, Leitner, Thomas, Lundeberg, Joakim, Andersson, Björn, Albert, Jan
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2898805/
https://www.ncbi.nlm.nih.gov/pubmed/20628644
http://dx.doi.org/10.1371/journal.pone.0011345
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author Hedskog, Charlotte
Mild, Mattias
Jernberg, Johanna
Sherwood, Ellen
Bratt, Göran
Leitner, Thomas
Lundeberg, Joakim
Andersson, Björn
Albert, Jan
author_facet Hedskog, Charlotte
Mild, Mattias
Jernberg, Johanna
Sherwood, Ellen
Bratt, Göran
Leitner, Thomas
Lundeberg, Joakim
Andersson, Björn
Albert, Jan
author_sort Hedskog, Charlotte
collection PubMed
description BACKGROUND: Ultra-deep pyrosequencing (UDPS) allows identification of rare HIV-1 variants and minority drug resistance mutations, which are not detectable by standard sequencing. PRINCIPAL FINDINGS: Here, UDPS was used to analyze the dynamics of HIV-1 genetic variation in reverse transcriptase (RT) (amino acids 180–220) in six individuals consecutively sampled before, during and after failing 3TC and AZT containing antiretroviral treatment. Optimized UDPS protocols and bioinformatic software were developed to generate, clean and analyze the data. The data cleaning strategy reduced the error rate of UDPS to an average of 0.05%, which is lower than previously reported. Consequently, the cut-off for detection of resistance mutations was very low. A median of 16,016 (range 2,406–35,401) sequence reads were obtained per sample, which allowed detection and quantification of minority resistance mutations at amino acid position 181, 184, 188, 190, 210, 215 and 219 in RT. In four of five pre-treatment samples low levels (0.07–0.09%) of the M184I mutation were observed. Other resistance mutations, except T215A and T215I were below the detection limit. During treatment failure, M184V replaced M184I and dominated the population in combination with T215Y, while wild-type variants were rarely detected. Resistant virus disappeared rapidly after treatment interruption and was undetectable as early as after 3 months. In most patients, drug resistant variants were replaced by wild-type variants identical to those present before treatment, suggesting rebound from latent reservoirs. CONCLUSIONS: With this highly sensitive UDPS protocol preexisting drug resistance was infrequently observed; only M184I, T215A and T215I were detected at very low levels. Similarly, drug resistant variants in plasma quickly decreased to undetectable levels after treatment interruption. The study gives important insights into the dynamics of the HIV-1 quasispecies and is of relevance for future research and clinical use of the UDPS technology.
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spelling pubmed-28988052010-07-13 Dynamics of HIV-1 Quasispecies during Antiviral Treatment Dissected Using Ultra-Deep Pyrosequencing Hedskog, Charlotte Mild, Mattias Jernberg, Johanna Sherwood, Ellen Bratt, Göran Leitner, Thomas Lundeberg, Joakim Andersson, Björn Albert, Jan PLoS One Research Article BACKGROUND: Ultra-deep pyrosequencing (UDPS) allows identification of rare HIV-1 variants and minority drug resistance mutations, which are not detectable by standard sequencing. PRINCIPAL FINDINGS: Here, UDPS was used to analyze the dynamics of HIV-1 genetic variation in reverse transcriptase (RT) (amino acids 180–220) in six individuals consecutively sampled before, during and after failing 3TC and AZT containing antiretroviral treatment. Optimized UDPS protocols and bioinformatic software were developed to generate, clean and analyze the data. The data cleaning strategy reduced the error rate of UDPS to an average of 0.05%, which is lower than previously reported. Consequently, the cut-off for detection of resistance mutations was very low. A median of 16,016 (range 2,406–35,401) sequence reads were obtained per sample, which allowed detection and quantification of minority resistance mutations at amino acid position 181, 184, 188, 190, 210, 215 and 219 in RT. In four of five pre-treatment samples low levels (0.07–0.09%) of the M184I mutation were observed. Other resistance mutations, except T215A and T215I were below the detection limit. During treatment failure, M184V replaced M184I and dominated the population in combination with T215Y, while wild-type variants were rarely detected. Resistant virus disappeared rapidly after treatment interruption and was undetectable as early as after 3 months. In most patients, drug resistant variants were replaced by wild-type variants identical to those present before treatment, suggesting rebound from latent reservoirs. CONCLUSIONS: With this highly sensitive UDPS protocol preexisting drug resistance was infrequently observed; only M184I, T215A and T215I were detected at very low levels. Similarly, drug resistant variants in plasma quickly decreased to undetectable levels after treatment interruption. The study gives important insights into the dynamics of the HIV-1 quasispecies and is of relevance for future research and clinical use of the UDPS technology. Public Library of Science 2010-07-07 /pmc/articles/PMC2898805/ /pubmed/20628644 http://dx.doi.org/10.1371/journal.pone.0011345 Text en Hedskog 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
Hedskog, Charlotte
Mild, Mattias
Jernberg, Johanna
Sherwood, Ellen
Bratt, Göran
Leitner, Thomas
Lundeberg, Joakim
Andersson, Björn
Albert, Jan
Dynamics of HIV-1 Quasispecies during Antiviral Treatment Dissected Using Ultra-Deep Pyrosequencing
title Dynamics of HIV-1 Quasispecies during Antiviral Treatment Dissected Using Ultra-Deep Pyrosequencing
title_full Dynamics of HIV-1 Quasispecies during Antiviral Treatment Dissected Using Ultra-Deep Pyrosequencing
title_fullStr Dynamics of HIV-1 Quasispecies during Antiviral Treatment Dissected Using Ultra-Deep Pyrosequencing
title_full_unstemmed Dynamics of HIV-1 Quasispecies during Antiviral Treatment Dissected Using Ultra-Deep Pyrosequencing
title_short Dynamics of HIV-1 Quasispecies during Antiviral Treatment Dissected Using Ultra-Deep Pyrosequencing
title_sort dynamics of hiv-1 quasispecies during antiviral treatment dissected using ultra-deep pyrosequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2898805/
https://www.ncbi.nlm.nih.gov/pubmed/20628644
http://dx.doi.org/10.1371/journal.pone.0011345
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