ArticleFrontiers in immunology2014
The Effect of Interference on the CD8(+) T Cell Escape Rates in HIV.
Article in Frontiers in immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 20 citations in OpenAlex.
- Article
- A TCR-mimic bispecific antibody reduces HIV-1 provirus and delays viral rebound in HLA-matched humanized mice.bioRxiv : the preprint server for biology · 2025Article
- Inferring fitness seascapes from evolutionary histories.bioRxiv : the preprint server for biology · 2025Article
- A de novo approach to inferring within-host fitness effects during untreated HIV-1 infection.PLoS pathogens · 2020Article
- Cancer-induced immunosuppression can enable effectiveness of immunotherapy through bistability generation: A mathematical and computational examination.Journal of theoretical biology · 2020Article
- Towards multiscale modeling of the CD8Wiley interdisciplinary reviews. Systems biology and medicine · 2019Review
- Modeling the immune response to HIV infection.Current opinion in systems biology · 2018Article
- Clonal interference can cause wavelet-like oscillations of multilocus linkage disequilibrium.Journal of the Royal Society, Interface · 2018Article
- Kinetics of HIV-Specific CTL Responses Plays a Minimal Role in Determining HIV Escape Dynamics.Frontiers in immunology · 2018Article
- Within-Epitope Interactions Can Bias CTL Escape Estimation in Early HIV Infection.Frontiers in immunology · 2017Article
- Investigating the Consequences of Interference between Multiple CD8+ T Cell Escape Mutations in Early HIV Infection.PLoS computational biology · 2016Article
- Broad CTL Response in Early HIV Infection Drives Multiple Concurrent CTL Escapes.PLoS computational biology · 2015Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In early human immunodeficiency virus (HIV) infection, the virus population escapes from multiple CD8(+) cell responses. The later an escape mutation emerges, the slower it outgrows its competition, i.e., the escape rate is lower. This pattern could indicate that the strength of the CD8(+) cell responses is waning, or that later viral escape mutants carry a larger fitness cost. In this paper, we investigate whether the pattern of decreasing escape rates could also be caused by genetic interference among different escape strains. To this end, we developed a mathematical multi-epitope model of HIV dynamics, which incorporates stochastic effects, recombination, and mutation. We used cumulative linkage disequilibrium measures to quantify the amount of interference. We found that nearly synchronous, similarly strong immune responses in two-locus systems enhance the generation of genetic interference. This effect, combined with a scheme of densely spaced sampling times at the beginning of infection and sparse sampling times later, leads to decreasing successive escape rate estimates, even when there were no selection differences among alleles. These predictions are supported by empirical data from one HIV-infected patient. Thus, interference could explain why later escapes are slower. Considering escape mutations in isolation, neglecting their genetic linkage, conceals the underlying haplotype dynamics and can affect the estimation of the selective pressure exerted by CD8(+) cells. In systems in which multiple escape mutations appear, the occurrence of interference dynamics should be assessed by measuring the linkage between different escape mutations.
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