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Dynamics in HIV‐DNA levels over time in HIV controllers

INTRODUCTION: HIV controllers (HIC) maintain viraemia at low levels without antiretroviral treatment and have small HIV reservoirs. Nevertheless, they are heterogeneous regarding their risk of infection progression. The study of reservoirs can help elucidate this control. This study aimed to explore...

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Autores principales: Avettand‐Fenoel, Véronique, Bayan, Tatiana, Gardiennet, Elise, Boufassa, Faroudy, Lopez, Pauline, Lecuroux, Camille, Noel, Nicolas, Trémeaux, Pauline, Monceaux, Valérie, Autran, Brigitte, Meyer, Laurence, Saez‐Cirion, Asier, Lambotte, Olivier, Rouzioux, Christine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6327944/
https://www.ncbi.nlm.nih.gov/pubmed/30629340
http://dx.doi.org/10.1002/jia2.25221
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author Avettand‐Fenoel, Véronique
Bayan, Tatiana
Gardiennet, Elise
Boufassa, Faroudy
Lopez, Pauline
Lecuroux, Camille
Noel, Nicolas
Trémeaux, Pauline
Monceaux, Valérie
Autran, Brigitte
Meyer, Laurence
Saez‐Cirion, Asier
Lambotte, Olivier
Rouzioux, Christine
author_facet Avettand‐Fenoel, Véronique
Bayan, Tatiana
Gardiennet, Elise
Boufassa, Faroudy
Lopez, Pauline
Lecuroux, Camille
Noel, Nicolas
Trémeaux, Pauline
Monceaux, Valérie
Autran, Brigitte
Meyer, Laurence
Saez‐Cirion, Asier
Lambotte, Olivier
Rouzioux, Christine
author_sort Avettand‐Fenoel, Véronique
collection PubMed
description INTRODUCTION: HIV controllers (HIC) maintain viraemia at low levels without antiretroviral treatment and have small HIV reservoirs. Nevertheless, they are heterogeneous regarding their risk of infection progression. The study of reservoirs can help elucidate this control. This study aimed to explore the factors implicated in the pathogenesis of HIV infection that are potentially associated with HIV reservoirs and their dynamics in HIC. METHODS: Individuals living with HIV included in the ANRS‐CODEX cohort with at least two HIV‐DNA measurements between 2009 and 2016 were selected. The total HIV‐DNA levels had been quantified prospectively from blood samples. Mixed‐effect linear models estimated the HIV‐DNA dynamics over time. RESULTS: The median (interquartile range (IQR)) HIV‐DNA level was 1.5 (1.3 to 1.9) log copies/million peripheral blood mononuclear cells at inclusion (n = 202 individuals). These low levels showed heterogeneity among HIC. Lower levels were then associated with the protective HLA‐B*27/B*57 alleles and/or lower HIV‐RNA level at inclusion, negative hepatitis C virus serology, lower HIV‐suppressive capacity of specific CD8 T cells and lower levels of immune activation and inflammation. Interestingly, mathematical modelling of the dynamics of HIV‐DNA over time (840 measurements) showed that the number of infected cells decreased in 46% of HIC (follow‐up: 47.6 months) and increased in 54% of HIC. A multivariate analysis indicated that HLA‐B*27/B*57 alleles, a low level of HIV‐RNA and a low level of HIV‐DNA at inclusion were markers independently associated with this decrease. CONCLUSIONS: These results offer new insights into the mechanisms of long‐term control in HIC. In half of HIC, the decrease in HIV‐DNA level could be linked to tighter viral control and progressive loss of infected cells. These findings allow the identification of HIC with a low risk of progression who may not need treatment.
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spelling pubmed-63279442019-01-16 Dynamics in HIV‐DNA levels over time in HIV controllers Avettand‐Fenoel, Véronique Bayan, Tatiana Gardiennet, Elise Boufassa, Faroudy Lopez, Pauline Lecuroux, Camille Noel, Nicolas Trémeaux, Pauline Monceaux, Valérie Autran, Brigitte Meyer, Laurence Saez‐Cirion, Asier Lambotte, Olivier Rouzioux, Christine J Int AIDS Soc Research Articles INTRODUCTION: HIV controllers (HIC) maintain viraemia at low levels without antiretroviral treatment and have small HIV reservoirs. Nevertheless, they are heterogeneous regarding their risk of infection progression. The study of reservoirs can help elucidate this control. This study aimed to explore the factors implicated in the pathogenesis of HIV infection that are potentially associated with HIV reservoirs and their dynamics in HIC. METHODS: Individuals living with HIV included in the ANRS‐CODEX cohort with at least two HIV‐DNA measurements between 2009 and 2016 were selected. The total HIV‐DNA levels had been quantified prospectively from blood samples. Mixed‐effect linear models estimated the HIV‐DNA dynamics over time. RESULTS: The median (interquartile range (IQR)) HIV‐DNA level was 1.5 (1.3 to 1.9) log copies/million peripheral blood mononuclear cells at inclusion (n = 202 individuals). These low levels showed heterogeneity among HIC. Lower levels were then associated with the protective HLA‐B*27/B*57 alleles and/or lower HIV‐RNA level at inclusion, negative hepatitis C virus serology, lower HIV‐suppressive capacity of specific CD8 T cells and lower levels of immune activation and inflammation. Interestingly, mathematical modelling of the dynamics of HIV‐DNA over time (840 measurements) showed that the number of infected cells decreased in 46% of HIC (follow‐up: 47.6 months) and increased in 54% of HIC. A multivariate analysis indicated that HLA‐B*27/B*57 alleles, a low level of HIV‐RNA and a low level of HIV‐DNA at inclusion were markers independently associated with this decrease. CONCLUSIONS: These results offer new insights into the mechanisms of long‐term control in HIC. In half of HIC, the decrease in HIV‐DNA level could be linked to tighter viral control and progressive loss of infected cells. These findings allow the identification of HIC with a low risk of progression who may not need treatment. John Wiley and Sons Inc. 2019-01-10 /pmc/articles/PMC6327944/ /pubmed/30629340 http://dx.doi.org/10.1002/jia2.25221 Text en © 2019 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Avettand‐Fenoel, Véronique
Bayan, Tatiana
Gardiennet, Elise
Boufassa, Faroudy
Lopez, Pauline
Lecuroux, Camille
Noel, Nicolas
Trémeaux, Pauline
Monceaux, Valérie
Autran, Brigitte
Meyer, Laurence
Saez‐Cirion, Asier
Lambotte, Olivier
Rouzioux, Christine
Dynamics in HIV‐DNA levels over time in HIV controllers
title Dynamics in HIV‐DNA levels over time in HIV controllers
title_full Dynamics in HIV‐DNA levels over time in HIV controllers
title_fullStr Dynamics in HIV‐DNA levels over time in HIV controllers
title_full_unstemmed Dynamics in HIV‐DNA levels over time in HIV controllers
title_short Dynamics in HIV‐DNA levels over time in HIV controllers
title_sort dynamics in hiv‐dna levels over time in hiv controllers
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6327944/
https://www.ncbi.nlm.nih.gov/pubmed/30629340
http://dx.doi.org/10.1002/jia2.25221
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