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Treatment-associated polymorphisms in protease are significantly associated with higher viral load and lower CD4 count in newly diagnosed drug-naive HIV-1 infected patients

BACKGROUND: The effect of drug resistance transmission on disease progression in the newly infected patient is not well understood. Major drug resistance mutations severely impair viral fitness in a drug free environment, and therefore are expected to revert quickly. Compensatory mutations, often al...

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Autores principales: Theys, Kristof, Deforche, Koen, Vercauteren, Jurgen, Libin, Pieter, van de Vijver, David AMC, Albert, Jan, Åsjö, Birgitta, Balotta, Claudia, Bruckova, Marie, Camacho, Ricardo J, Clotet, Bonaventura, Coughlan, Suzie, Grossman, Zehava, Hamouda, Osamah, Horban, Andrzei, Korn, Klaus, Kostrikis, Leondios G, Kücherer, Claudia, Nielsen, Claus, Paraskevis, Dimitrios, Poljak, Mario, Puchhammer-Stockl, Elisabeth, Riva, Chiara, Ruiz, Lidia, Liitsola, Kirsi, Schmit, Jean-Claude, Schuurman, Rob, Sönnerborg, Anders, Stanekova, Danica, Stanojevic, Maja, Struck, Daniel, Van Laethem, Kristel, Wensing, Annemarie MJ, Boucher, Charles AB, Vandamme, Anne-Mieke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3487874/
https://www.ncbi.nlm.nih.gov/pubmed/23031662
http://dx.doi.org/10.1186/1742-4690-9-81
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author Theys, Kristof
Deforche, Koen
Vercauteren, Jurgen
Libin, Pieter
van de Vijver, David AMC
Albert, Jan
Åsjö, Birgitta
Balotta, Claudia
Bruckova, Marie
Camacho, Ricardo J
Clotet, Bonaventura
Coughlan, Suzie
Grossman, Zehava
Hamouda, Osamah
Horban, Andrzei
Korn, Klaus
Kostrikis, Leondios G
Kücherer, Claudia
Nielsen, Claus
Paraskevis, Dimitrios
Poljak, Mario
Puchhammer-Stockl, Elisabeth
Riva, Chiara
Ruiz, Lidia
Liitsola, Kirsi
Schmit, Jean-Claude
Schuurman, Rob
Sönnerborg, Anders
Stanekova, Danica
Stanojevic, Maja
Struck, Daniel
Van Laethem, Kristel
Wensing, Annemarie MJ
Boucher, Charles AB
Vandamme, Anne-Mieke
author_facet Theys, Kristof
Deforche, Koen
Vercauteren, Jurgen
Libin, Pieter
van de Vijver, David AMC
Albert, Jan
Åsjö, Birgitta
Balotta, Claudia
Bruckova, Marie
Camacho, Ricardo J
Clotet, Bonaventura
Coughlan, Suzie
Grossman, Zehava
Hamouda, Osamah
Horban, Andrzei
Korn, Klaus
Kostrikis, Leondios G
Kücherer, Claudia
Nielsen, Claus
Paraskevis, Dimitrios
Poljak, Mario
Puchhammer-Stockl, Elisabeth
Riva, Chiara
Ruiz, Lidia
Liitsola, Kirsi
Schmit, Jean-Claude
Schuurman, Rob
Sönnerborg, Anders
Stanekova, Danica
Stanojevic, Maja
Struck, Daniel
Van Laethem, Kristel
Wensing, Annemarie MJ
Boucher, Charles AB
Vandamme, Anne-Mieke
author_sort Theys, Kristof
collection PubMed
description BACKGROUND: The effect of drug resistance transmission on disease progression in the newly infected patient is not well understood. Major drug resistance mutations severely impair viral fitness in a drug free environment, and therefore are expected to revert quickly. Compensatory mutations, often already polymorphic in wild-type viruses, do not tend to revert after transmission. While compensatory mutations increase fitness during treatment, their presence may also modulate viral fitness and virulence in absence of therapy and major resistance mutations. We previously designed a modeling technique that quantifies genotypic footprints of in vivo treatment selective pressure, including both drug resistance mutations and polymorphic compensatory mutations, through the quantitative description of a fitness landscape from virus genetic sequences. RESULTS: Genotypic correlates of viral load and CD4 cell count were evaluated in subtype B sequences from recently diagnosed treatment-naive patients enrolled in the SPREAD programme. The association of surveillance drug resistance mutations, reported compensatory mutations and fitness estimated from drug selective pressure fitness landscapes with baseline viral load and CD4 cell count was evaluated using regression techniques. Protease genotypic variability estimated to increase fitness during treatment was associated with higher viral load and lower CD4 cell counts also in treatment-naive patients, which could primarily be attributed to well-known compensatory mutations at highly polymorphic positions. By contrast, treatment-related mutations in reverse transcriptase could not explain viral load or CD4 cell count variability. CONCLUSIONS: These results suggest that polymorphic compensatory mutations in protease, reported to be selected during treatment, may improve the replicative capacity of HIV-1 even in absence of drug selective pressure or major resistance mutations. The presence of this polymorphic variation may either reflect a history of drug selective pressure, i.e. transmission from a treated patient, or merely be a result of diversity in wild-type virus. Our findings suggest that transmitted drug resistance has the potential to contribute to faster disease progression in the newly infected host and to shape the HIV-1 epidemic at a population level.
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spelling pubmed-34878742012-11-03 Treatment-associated polymorphisms in protease are significantly associated with higher viral load and lower CD4 count in newly diagnosed drug-naive HIV-1 infected patients Theys, Kristof Deforche, Koen Vercauteren, Jurgen Libin, Pieter van de Vijver, David AMC Albert, Jan Åsjö, Birgitta Balotta, Claudia Bruckova, Marie Camacho, Ricardo J Clotet, Bonaventura Coughlan, Suzie Grossman, Zehava Hamouda, Osamah Horban, Andrzei Korn, Klaus Kostrikis, Leondios G Kücherer, Claudia Nielsen, Claus Paraskevis, Dimitrios Poljak, Mario Puchhammer-Stockl, Elisabeth Riva, Chiara Ruiz, Lidia Liitsola, Kirsi Schmit, Jean-Claude Schuurman, Rob Sönnerborg, Anders Stanekova, Danica Stanojevic, Maja Struck, Daniel Van Laethem, Kristel Wensing, Annemarie MJ Boucher, Charles AB Vandamme, Anne-Mieke Retrovirology Research BACKGROUND: The effect of drug resistance transmission on disease progression in the newly infected patient is not well understood. Major drug resistance mutations severely impair viral fitness in a drug free environment, and therefore are expected to revert quickly. Compensatory mutations, often already polymorphic in wild-type viruses, do not tend to revert after transmission. While compensatory mutations increase fitness during treatment, their presence may also modulate viral fitness and virulence in absence of therapy and major resistance mutations. We previously designed a modeling technique that quantifies genotypic footprints of in vivo treatment selective pressure, including both drug resistance mutations and polymorphic compensatory mutations, through the quantitative description of a fitness landscape from virus genetic sequences. RESULTS: Genotypic correlates of viral load and CD4 cell count were evaluated in subtype B sequences from recently diagnosed treatment-naive patients enrolled in the SPREAD programme. The association of surveillance drug resistance mutations, reported compensatory mutations and fitness estimated from drug selective pressure fitness landscapes with baseline viral load and CD4 cell count was evaluated using regression techniques. Protease genotypic variability estimated to increase fitness during treatment was associated with higher viral load and lower CD4 cell counts also in treatment-naive patients, which could primarily be attributed to well-known compensatory mutations at highly polymorphic positions. By contrast, treatment-related mutations in reverse transcriptase could not explain viral load or CD4 cell count variability. CONCLUSIONS: These results suggest that polymorphic compensatory mutations in protease, reported to be selected during treatment, may improve the replicative capacity of HIV-1 even in absence of drug selective pressure or major resistance mutations. The presence of this polymorphic variation may either reflect a history of drug selective pressure, i.e. transmission from a treated patient, or merely be a result of diversity in wild-type virus. Our findings suggest that transmitted drug resistance has the potential to contribute to faster disease progression in the newly infected host and to shape the HIV-1 epidemic at a population level. BioMed Central 2012-10-03 /pmc/articles/PMC3487874/ /pubmed/23031662 http://dx.doi.org/10.1186/1742-4690-9-81 Text en Copyright ©2012 Theys et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Theys, Kristof
Deforche, Koen
Vercauteren, Jurgen
Libin, Pieter
van de Vijver, David AMC
Albert, Jan
Åsjö, Birgitta
Balotta, Claudia
Bruckova, Marie
Camacho, Ricardo J
Clotet, Bonaventura
Coughlan, Suzie
Grossman, Zehava
Hamouda, Osamah
Horban, Andrzei
Korn, Klaus
Kostrikis, Leondios G
Kücherer, Claudia
Nielsen, Claus
Paraskevis, Dimitrios
Poljak, Mario
Puchhammer-Stockl, Elisabeth
Riva, Chiara
Ruiz, Lidia
Liitsola, Kirsi
Schmit, Jean-Claude
Schuurman, Rob
Sönnerborg, Anders
Stanekova, Danica
Stanojevic, Maja
Struck, Daniel
Van Laethem, Kristel
Wensing, Annemarie MJ
Boucher, Charles AB
Vandamme, Anne-Mieke
Treatment-associated polymorphisms in protease are significantly associated with higher viral load and lower CD4 count in newly diagnosed drug-naive HIV-1 infected patients
title Treatment-associated polymorphisms in protease are significantly associated with higher viral load and lower CD4 count in newly diagnosed drug-naive HIV-1 infected patients
title_full Treatment-associated polymorphisms in protease are significantly associated with higher viral load and lower CD4 count in newly diagnosed drug-naive HIV-1 infected patients
title_fullStr Treatment-associated polymorphisms in protease are significantly associated with higher viral load and lower CD4 count in newly diagnosed drug-naive HIV-1 infected patients
title_full_unstemmed Treatment-associated polymorphisms in protease are significantly associated with higher viral load and lower CD4 count in newly diagnosed drug-naive HIV-1 infected patients
title_short Treatment-associated polymorphisms in protease are significantly associated with higher viral load and lower CD4 count in newly diagnosed drug-naive HIV-1 infected patients
title_sort treatment-associated polymorphisms in protease are significantly associated with higher viral load and lower cd4 count in newly diagnosed drug-naive hiv-1 infected patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3487874/
https://www.ncbi.nlm.nih.gov/pubmed/23031662
http://dx.doi.org/10.1186/1742-4690-9-81
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