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Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
Published on: December 27, 2010
Coreceptor switching in HIV-1 subtype B and subtype C
1Department of Mathematics and Applied Mathematics, University of Cape Town, Rondebosch 7701, Cape Town, South Africa.
Bulletin of Mathematical Biology
|November 7, 2006
Summary
A persistent, efficient lytic immune response prevents coreceptor switching in HIV-1 subtype C. Macrophage availability and viral kinetics also influence R5 strain dominance, impacting HIV disease progression.
Area of Science:
- Virology
- Immunology
- Mathematical Modeling
Background:
- HIV-1 exhibits tropism for CCR5 (R5) or CXCR4 (X4) coreceptors.
- Coreceptor switching from R5 to X4 is common in HIV-1 subtype B but rare in subtype C.
- Understanding factors influencing coreceptor tropism is crucial for HIV pathogenesis and treatment.
Purpose of the Study:
- To identify key factors governing the delayed or rare coreceptor switch in HIV-1 subtype C.
- To elucidate the role of immune responses and host cell availability in HIV-1 tropism.
- To compare coreceptor switching kinetics between HIV-1 subtypes B and C.
Main Methods:
- Development and analysis of a mathematical model simulating HIV-1 infection dynamics.
- Inclusion of target cell populations (macrophages, lymphocytes) for R5 and X4 tropic viruses.
- Incorporation of lytic and non-lytic immune responses.
- Sensitivity analysis to determine critical model parameters.
Main Results:
- A persistent and efficient lytic immune response suppresses CXCR4-tropic (X4) virus, preventing phenotypic switching.
- Efficient non-lytic immune responses are less effective in preventing coreceptor switch.
- Macrophage availability and enhanced viral kinetics favor the dominance of CCR5-tropic (R5) strains.
- Model simulations predict distinct coreceptor switching patterns between HIV-1 subtypes.
Conclusions:
- Persistent, efficient lytic immunity is key to preventing X4 virus emergence in HIV-1 subtype C.
- Host environment, potentially altered by immune activation, influences differential coreceptor switching kinetics between HIV-1 subtypes.
- Mathematical modeling provides insights into complex HIV-1 dynamics and tropism determination.

