Quantifying the impact of human immunodeficiency virus-1 escape from cytotoxic T-lymphocytes.

HIV-1 escape from the cytotoxic T-lymphocyte (CTL) response leads to a weakening of viral control and is likely to be detrimental to the patient. To date, the impact of escape on viral load and CD4(+) T cell count has not been quantified, primarily because of sparse longitudinal data and the difficu...

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Main Authors: Ulrich D Kadolsky, Becca Asquith
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2010-11-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC2973816?pdf=render
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spelling doaj-128219acabbe43f985d0b7d9114333ec2020-11-25T02:10:47ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582010-11-01611e100098110.1371/journal.pcbi.1000981Quantifying the impact of human immunodeficiency virus-1 escape from cytotoxic T-lymphocytes.Ulrich D KadolskyBecca AsquithHIV-1 escape from the cytotoxic T-lymphocyte (CTL) response leads to a weakening of viral control and is likely to be detrimental to the patient. To date, the impact of escape on viral load and CD4(+) T cell count has not been quantified, primarily because of sparse longitudinal data and the difficulty of separating cause and effect in cross-sectional studies. We use two independent methods to quantify the impact of HIV-1 escape from CTLs in chronic infection: mathematical modelling of escape and statistical analysis of a cross-sectional cohort. Mathematical modelling revealed a modest increase in log viral load of 0.051 copies ml(-1) per escape event. Analysis of the cross-sectional cohort revealed a significant positive association between viral load and the number of "escape events", after correcting for length of infection and rate of replication. We estimate that a single CTL escape event leads to a viral load increase of 0.11 log copies ml(-1) (95% confidence interval: 0.040-0.18), consistent with the predictions from the mathematical modelling. Overall, the number of escape events could only account for approximately 6% of the viral load variation in the cohort. Our findings indicate that although the loss of the CTL response for a single epitope results in a highly statistically significant increase in viral load, the biological impact is modest. We suggest that this small increase in viral load is explained by the small growth advantage of the variant relative to the wildtype virus. Escape from CTLs had a measurable, but unexpectedly low, impact on viral load in chronic infection.http://europepmc.org/articles/PMC2973816?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Ulrich D Kadolsky
Becca Asquith
spellingShingle Ulrich D Kadolsky
Becca Asquith
Quantifying the impact of human immunodeficiency virus-1 escape from cytotoxic T-lymphocytes.
PLoS Computational Biology
author_facet Ulrich D Kadolsky
Becca Asquith
author_sort Ulrich D Kadolsky
title Quantifying the impact of human immunodeficiency virus-1 escape from cytotoxic T-lymphocytes.
title_short Quantifying the impact of human immunodeficiency virus-1 escape from cytotoxic T-lymphocytes.
title_full Quantifying the impact of human immunodeficiency virus-1 escape from cytotoxic T-lymphocytes.
title_fullStr Quantifying the impact of human immunodeficiency virus-1 escape from cytotoxic T-lymphocytes.
title_full_unstemmed Quantifying the impact of human immunodeficiency virus-1 escape from cytotoxic T-lymphocytes.
title_sort quantifying the impact of human immunodeficiency virus-1 escape from cytotoxic t-lymphocytes.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2010-11-01
description HIV-1 escape from the cytotoxic T-lymphocyte (CTL) response leads to a weakening of viral control and is likely to be detrimental to the patient. To date, the impact of escape on viral load and CD4(+) T cell count has not been quantified, primarily because of sparse longitudinal data and the difficulty of separating cause and effect in cross-sectional studies. We use two independent methods to quantify the impact of HIV-1 escape from CTLs in chronic infection: mathematical modelling of escape and statistical analysis of a cross-sectional cohort. Mathematical modelling revealed a modest increase in log viral load of 0.051 copies ml(-1) per escape event. Analysis of the cross-sectional cohort revealed a significant positive association between viral load and the number of "escape events", after correcting for length of infection and rate of replication. We estimate that a single CTL escape event leads to a viral load increase of 0.11 log copies ml(-1) (95% confidence interval: 0.040-0.18), consistent with the predictions from the mathematical modelling. Overall, the number of escape events could only account for approximately 6% of the viral load variation in the cohort. Our findings indicate that although the loss of the CTL response for a single epitope results in a highly statistically significant increase in viral load, the biological impact is modest. We suggest that this small increase in viral load is explained by the small growth advantage of the variant relative to the wildtype virus. Escape from CTLs had a measurable, but unexpectedly low, impact on viral load in chronic infection.
url http://europepmc.org/articles/PMC2973816?pdf=render
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