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The HIV RNA setpoint theory revisited
BACKGROUND: The evolution of plasma viral load after HIV infection has been described as reaching a setpoint, only to start rising again shortly before AIDS diagnosis. In contrast, CD4 T-cell count is considered to show a stable decrease. However, characteristics of marker evolution over time depend...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2206052/ https://www.ncbi.nlm.nih.gov/pubmed/17888148 http://dx.doi.org/10.1186/1742-4690-4-65 |
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author | Geskus, Ronald B Prins, Maria Hubert, Jean-Baptiste Miedema, Frank Berkhout, Ben Rouzioux, Christine Delfraissy, Jean-Francois Meyer, Laurence |
author_facet | Geskus, Ronald B Prins, Maria Hubert, Jean-Baptiste Miedema, Frank Berkhout, Ben Rouzioux, Christine Delfraissy, Jean-Francois Meyer, Laurence |
author_sort | Geskus, Ronald B |
collection | PubMed |
description | BACKGROUND: The evolution of plasma viral load after HIV infection has been described as reaching a setpoint, only to start rising again shortly before AIDS diagnosis. In contrast, CD4 T-cell count is considered to show a stable decrease. However, characteristics of marker evolution over time depend on the scale that is used to visualize trends. In reconsidering the setpoint theory for HIV RNA, we analyzed the evolution of CD4 T-cell count and HIV-1 RNA level from HIV seroconversion to AIDS diagnosis. Follow-up data were used from two cohort studies among homosexual men (N = 400), restricting to the period before highly active antiretroviral therapy became widely available (1984 until 1996). Individual trajectories of both markers were fitted and averaged, both from seroconversion onwards and in the four years preceding AIDS diagnosis, using a bivariate random effects model. Both markers were evaluated on a scale that is directly related to AIDS risk. RESULTS: Individuals with faster AIDS progression had higher HIV RNA level six months after seroconversion. For CD4 T-cell count, this ordering was less clearly present. However, HIV RNA level and CD4 T-cell count showed qualitatively similar evolution over time after seroconversion, also when stratified by rate of progression to AIDS. In the four years preceding AIDS diagnosis, a non-significant change in HIV RNA increase was seen, whereas a significant biphasic pattern was present for CD4 T-cell decline. CONCLUSION: HIV RNA level has more setpoint behaviour than CD4 T-cell count as far as the level shortly after seroconversion is concerned. However, with respect to the, clinically more relevant, marker evolution over time after seroconversion, a setpoint theory holds as much for CD4 T-cell count as for HIV RNA level. |
format | Text |
id | pubmed-2206052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-22060522008-01-18 The HIV RNA setpoint theory revisited Geskus, Ronald B Prins, Maria Hubert, Jean-Baptiste Miedema, Frank Berkhout, Ben Rouzioux, Christine Delfraissy, Jean-Francois Meyer, Laurence Retrovirology Research BACKGROUND: The evolution of plasma viral load after HIV infection has been described as reaching a setpoint, only to start rising again shortly before AIDS diagnosis. In contrast, CD4 T-cell count is considered to show a stable decrease. However, characteristics of marker evolution over time depend on the scale that is used to visualize trends. In reconsidering the setpoint theory for HIV RNA, we analyzed the evolution of CD4 T-cell count and HIV-1 RNA level from HIV seroconversion to AIDS diagnosis. Follow-up data were used from two cohort studies among homosexual men (N = 400), restricting to the period before highly active antiretroviral therapy became widely available (1984 until 1996). Individual trajectories of both markers were fitted and averaged, both from seroconversion onwards and in the four years preceding AIDS diagnosis, using a bivariate random effects model. Both markers were evaluated on a scale that is directly related to AIDS risk. RESULTS: Individuals with faster AIDS progression had higher HIV RNA level six months after seroconversion. For CD4 T-cell count, this ordering was less clearly present. However, HIV RNA level and CD4 T-cell count showed qualitatively similar evolution over time after seroconversion, also when stratified by rate of progression to AIDS. In the four years preceding AIDS diagnosis, a non-significant change in HIV RNA increase was seen, whereas a significant biphasic pattern was present for CD4 T-cell decline. CONCLUSION: HIV RNA level has more setpoint behaviour than CD4 T-cell count as far as the level shortly after seroconversion is concerned. However, with respect to the, clinically more relevant, marker evolution over time after seroconversion, a setpoint theory holds as much for CD4 T-cell count as for HIV RNA level. BioMed Central 2007-09-21 /pmc/articles/PMC2206052/ /pubmed/17888148 http://dx.doi.org/10.1186/1742-4690-4-65 Text en Copyright © 2007 Geskus et al; licensee BioMed Central Ltd. https://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 (https://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 Geskus, Ronald B Prins, Maria Hubert, Jean-Baptiste Miedema, Frank Berkhout, Ben Rouzioux, Christine Delfraissy, Jean-Francois Meyer, Laurence The HIV RNA setpoint theory revisited |
title | The HIV RNA setpoint theory revisited |
title_full | The HIV RNA setpoint theory revisited |
title_fullStr | The HIV RNA setpoint theory revisited |
title_full_unstemmed | The HIV RNA setpoint theory revisited |
title_short | The HIV RNA setpoint theory revisited |
title_sort | hiv rna setpoint theory revisited |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2206052/ https://www.ncbi.nlm.nih.gov/pubmed/17888148 http://dx.doi.org/10.1186/1742-4690-4-65 |
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