Cargando…
Understanding patterns of HIV multi-drug resistance through models of temporal and spatial drug heterogeneity
Triple-drug therapies have transformed HIV from a fatal condition to a chronic one. These therapies should prevent HIV drug resistance evolution, because one or more drugs suppress any partially resistant viruses. In practice, such therapies drastically reduced, but did not eliminate, resistance evo...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8412921/ https://www.ncbi.nlm.nih.gov/pubmed/34473060 http://dx.doi.org/10.7554/eLife.69032 |
_version_ | 1783747554879471616 |
---|---|
author | Feder, Alison F Harper, Kristin N Brumme, Chanson J Pennings, Pleuni S |
author_facet | Feder, Alison F Harper, Kristin N Brumme, Chanson J Pennings, Pleuni S |
author_sort | Feder, Alison F |
collection | PubMed |
description | Triple-drug therapies have transformed HIV from a fatal condition to a chronic one. These therapies should prevent HIV drug resistance evolution, because one or more drugs suppress any partially resistant viruses. In practice, such therapies drastically reduced, but did not eliminate, resistance evolution. In this article, we reanalyze published data from an evolutionary perspective and demonstrate several intriguing patterns about HIV resistance evolution - resistance evolves (1) even after years on successful therapy, (2) sequentially, often via one mutation at a time and (3) in a partially predictable order. We describe how these observations might emerge under two models of HIV drugs varying in space or time. Despite decades of work in this area, much opportunity remains to create models with realistic parameters for three drugs, and to match model outcomes to resistance rates and genetic patterns from individuals on triple-drug therapy. Further, lessons from HIV may inform other systems. |
format | Online Article Text |
id | pubmed-8412921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-84129212021-09-03 Understanding patterns of HIV multi-drug resistance through models of temporal and spatial drug heterogeneity Feder, Alison F Harper, Kristin N Brumme, Chanson J Pennings, Pleuni S eLife Evolutionary Biology Triple-drug therapies have transformed HIV from a fatal condition to a chronic one. These therapies should prevent HIV drug resistance evolution, because one or more drugs suppress any partially resistant viruses. In practice, such therapies drastically reduced, but did not eliminate, resistance evolution. In this article, we reanalyze published data from an evolutionary perspective and demonstrate several intriguing patterns about HIV resistance evolution - resistance evolves (1) even after years on successful therapy, (2) sequentially, often via one mutation at a time and (3) in a partially predictable order. We describe how these observations might emerge under two models of HIV drugs varying in space or time. Despite decades of work in this area, much opportunity remains to create models with realistic parameters for three drugs, and to match model outcomes to resistance rates and genetic patterns from individuals on triple-drug therapy. Further, lessons from HIV may inform other systems. eLife Sciences Publications, Ltd 2021-09-02 /pmc/articles/PMC8412921/ /pubmed/34473060 http://dx.doi.org/10.7554/eLife.69032 Text en © 2021, Feder et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Evolutionary Biology Feder, Alison F Harper, Kristin N Brumme, Chanson J Pennings, Pleuni S Understanding patterns of HIV multi-drug resistance through models of temporal and spatial drug heterogeneity |
title | Understanding patterns of HIV multi-drug resistance through models of temporal and spatial drug heterogeneity |
title_full | Understanding patterns of HIV multi-drug resistance through models of temporal and spatial drug heterogeneity |
title_fullStr | Understanding patterns of HIV multi-drug resistance through models of temporal and spatial drug heterogeneity |
title_full_unstemmed | Understanding patterns of HIV multi-drug resistance through models of temporal and spatial drug heterogeneity |
title_short | Understanding patterns of HIV multi-drug resistance through models of temporal and spatial drug heterogeneity |
title_sort | understanding patterns of hiv multi-drug resistance through models of temporal and spatial drug heterogeneity |
topic | Evolutionary Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8412921/ https://www.ncbi.nlm.nih.gov/pubmed/34473060 http://dx.doi.org/10.7554/eLife.69032 |
work_keys_str_mv | AT federalisonf understandingpatternsofhivmultidrugresistancethroughmodelsoftemporalandspatialdrugheterogeneity AT harperkristinn understandingpatternsofhivmultidrugresistancethroughmodelsoftemporalandspatialdrugheterogeneity AT brummechansonj understandingpatternsofhivmultidrugresistancethroughmodelsoftemporalandspatialdrugheterogeneity AT penningspleunis understandingpatternsofhivmultidrugresistancethroughmodelsoftemporalandspatialdrugheterogeneity |