ArticlePloS one2009
V3 loop sequence space analysis suggests different evolutionary patterns of CCR5- and CXCR4-tropic HIV.
Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Immune non-response despite effective antiretroviral therapy in people living with HIV: A review of potential mechanisms, biomarkers and therapeutic approaches.HIV medicine · 2026Review
- An expanded model of HIV cell entry phenotype based on multi-parameter single-cell data.Retrovirology · 2012Article
- Stochastic model of in-vivo X4 emergence during HIV infection: implications for the CCR5 inhibitor maraviroc.PloS one · 2012Article
- Extreme genetic divergence is required for coreceptor switching in HIV-1 subtype C.Journal of acquired immune deficiency syndromes (1999) · 2011Article
- Decreased HIV diversity after allogeneic stem cell transplantation of an HIV-1 infected patient: a case report.Virology journal · 2010Article
- Understanding the HIV coreceptor switch from a dynamical perspective.BMC evolutionary biology · 2009Article
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Authors and funding
5 authors.
Funding
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Abstract
The V3 loop of human immunodeficiency virus type 1 (HIV-1) is critical for coreceptor binding and is the main determinant of which of the cellular coreceptors, CCR5 or CXCR4, the virus uses for cell entry. The aim of this study is to provide a large-scale data driven analysis of HIV-1 coreceptor usage with respect to the V3 loop evolution and to characterize CCR5- and CXCR4-tropic viral phenotypes previously studied in small- and medium-scale settings. We use different sequence similarity measures, phylogenetic and clustering methods in order to analyze the distribution in sequence space of roughly 1000 V3 loop sequences and their tropism phenotypes. This analysis affords a means of characterizing those sequences that are misclassified by several sequence-based coreceptor prediction methods, as well as predicting the coreceptor using the location of the sequence in sequence space and of relating this location to the CD4(+) T-cell count of the patient. We support previous findings that the usage of CCR5 is correlated with relatively high sequence conservation whereas CXCR4-tropic viruses spread over larger regions in sequence space. The incorrectly predicted sequences are mostly located in regions in which their phenotype represents the minority or in close vicinity of regions dominated by the opposite phenotype. Nevertheless, the location of the sequence in sequence space can be used to improve the accuracy of the prediction of the coreceptor usage. Sequences from patients with high CD4(+) T-cell counts are relatively highly conserved as compared to those of immunosuppressed patients. Our study thus supports hypotheses of an association of immune system depletion with an increase in V3 loop sequence variability and with the escape of the viral sequence to distant parts of the sequence space.
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