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HIV DNA Sequencing to Detect Archived Antiretroviral Drug Resistance
INTRODUCTION: Proviral HIV DNA integrated within CD4 T-cells maintains an archive of viral variants that replicate during the course of the infection, including variants with reduced drug susceptibility. We considered studies that investigated archived drug resistance, with a focus on virologically...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Healthcare
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617980/ https://www.ncbi.nlm.nih.gov/pubmed/35915392 http://dx.doi.org/10.1007/s40121-022-00676-y |
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author | Geretti, Anna Maria Blanco, Jose Luis Marcelin, Anne Genevieve Perno, Carlo Federico Stellbrink, Hans Jurgen Turner, Dan Zengin, Tuba |
author_facet | Geretti, Anna Maria Blanco, Jose Luis Marcelin, Anne Genevieve Perno, Carlo Federico Stellbrink, Hans Jurgen Turner, Dan Zengin, Tuba |
author_sort | Geretti, Anna Maria |
collection | PubMed |
description | INTRODUCTION: Proviral HIV DNA integrated within CD4 T-cells maintains an archive of viral variants that replicate during the course of the infection, including variants with reduced drug susceptibility. We considered studies that investigated archived drug resistance, with a focus on virologically suppressed patients and highlighted interpretative caveats and gaps in knowledge. RESULTS: Either Sanger or deep sequencing can be used to investigate resistance-associated mutations (RAMs) in HIV DNA recovered from peripheral blood. Neither technique is free of limitations. Furthermore, evidence regarding the establishment, maintenance, expression and clinical significance of archived drug-resistant variants is conflicting. This in part reflects the complexity of the HIV proviral landscape and its dynamics during therapy. Clinically, detection of RAMs in cellular HIV DNA has a variable impact on treatment outcomes, modulated by the drugs affected, treatment duration and additional determinants of virological failure, including those leading to suboptimal drug exposure. CONCLUSIONS: Sequencing cellular HIV DNA can provide helpful complementary information in treatment-experienced patients with suppressed plasma HIV RNA who require a change of regimen. However, care should be taken when interpreting the results. Presence of RAMs is not necessarily a barrier to treatment success. Conversely, even the most sensitive sequencing techniques will fail to provide a comprehensive view of the HIV DNA archive. To inform treatment decisions appropriately, the overall clinical and treatment history of a patient must always be considered alongside the results of resistance testing. Prospective controlled studies are needed to validate the utility of drug resistance testing using cellular HIV DNA. |
format | Online Article Text |
id | pubmed-9617980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-96179802022-11-29 HIV DNA Sequencing to Detect Archived Antiretroviral Drug Resistance Geretti, Anna Maria Blanco, Jose Luis Marcelin, Anne Genevieve Perno, Carlo Federico Stellbrink, Hans Jurgen Turner, Dan Zengin, Tuba Infect Dis Ther Review INTRODUCTION: Proviral HIV DNA integrated within CD4 T-cells maintains an archive of viral variants that replicate during the course of the infection, including variants with reduced drug susceptibility. We considered studies that investigated archived drug resistance, with a focus on virologically suppressed patients and highlighted interpretative caveats and gaps in knowledge. RESULTS: Either Sanger or deep sequencing can be used to investigate resistance-associated mutations (RAMs) in HIV DNA recovered from peripheral blood. Neither technique is free of limitations. Furthermore, evidence regarding the establishment, maintenance, expression and clinical significance of archived drug-resistant variants is conflicting. This in part reflects the complexity of the HIV proviral landscape and its dynamics during therapy. Clinically, detection of RAMs in cellular HIV DNA has a variable impact on treatment outcomes, modulated by the drugs affected, treatment duration and additional determinants of virological failure, including those leading to suboptimal drug exposure. CONCLUSIONS: Sequencing cellular HIV DNA can provide helpful complementary information in treatment-experienced patients with suppressed plasma HIV RNA who require a change of regimen. However, care should be taken when interpreting the results. Presence of RAMs is not necessarily a barrier to treatment success. Conversely, even the most sensitive sequencing techniques will fail to provide a comprehensive view of the HIV DNA archive. To inform treatment decisions appropriately, the overall clinical and treatment history of a patient must always be considered alongside the results of resistance testing. Prospective controlled studies are needed to validate the utility of drug resistance testing using cellular HIV DNA. Springer Healthcare 2022-08-01 2022-10 /pmc/articles/PMC9617980/ /pubmed/35915392 http://dx.doi.org/10.1007/s40121-022-00676-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Review Geretti, Anna Maria Blanco, Jose Luis Marcelin, Anne Genevieve Perno, Carlo Federico Stellbrink, Hans Jurgen Turner, Dan Zengin, Tuba HIV DNA Sequencing to Detect Archived Antiretroviral Drug Resistance |
title | HIV DNA Sequencing to Detect Archived Antiretroviral Drug Resistance |
title_full | HIV DNA Sequencing to Detect Archived Antiretroviral Drug Resistance |
title_fullStr | HIV DNA Sequencing to Detect Archived Antiretroviral Drug Resistance |
title_full_unstemmed | HIV DNA Sequencing to Detect Archived Antiretroviral Drug Resistance |
title_short | HIV DNA Sequencing to Detect Archived Antiretroviral Drug Resistance |
title_sort | hiv dna sequencing to detect archived antiretroviral drug resistance |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617980/ https://www.ncbi.nlm.nih.gov/pubmed/35915392 http://dx.doi.org/10.1007/s40121-022-00676-y |
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