ArticlePLoS computational biology2015
Hybrid spreading mechanisms and T cell activation shape the dynamics of HIV-1 infection.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 31 citations in OpenAlex.
- A diffusive virus model with a fixed intracellular delay and combined drug treatments.Journal of mathematical biology · 2021Article
- Functionalized gold nanoparticles: promising and efficient diagnostic and therapeutic tools for HIV/AIDS.RSC medicinal chemistry · 2020Review
- Estimating the basic reproduction number of a pathogen in a single host when only a single founder successfully infects.PloS one · 2020Article
- Experimental and computational analyses reveal that environmental restrictions shape HIV-1 spread in 3D cultures.Nature communications · 2019Article
- A threshold delay model of HIV infection of newborn infants through breastfeeding.Infectious Disease Modelling · 2019Article
- Distinct functions for the membrane-proximal ectodomain region (MPER) of HIV-1 gp41 in cell-free and cell-cell viral transmission and cell-cell fusion.The Journal of biological chemistry · 2018Article
- Accounting for Space—Quantification of Cell-To-Cell Transmission Kinetics Using Virus Dynamics Models.Viruses · 2018Article
- All-Round Manipulation of the Actin Cytoskeleton by HIV.Viruses · 2018Review
- Modeling Viral Spread.Annual review of virology · 2016Review
- Article
- HIV-1-Induced Small T Cell Syncytia Can Transfer Virus Particles to Target Cells through Transient Contacts.Viruses · 2015Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
Abstract
HIV-1 can disseminate between susceptible cells by two mechanisms: cell-free infection following fluid-phase diffusion of virions and by highly-efficient direct cell-to-cell transmission at immune cell contacts. The contribution of this hybrid spreading mechanism, which is also a characteristic of some important computer worm outbreaks, to HIV-1 progression in vivo remains unknown. Here we present a new mathematical model that explicitly incorporates the ability of HIV-1 to use hybrid spreading mechanisms and evaluate the consequences for HIV-1 pathogenenesis. The model captures the major phases of the HIV-1 infection course of a cohort of treatment naive patients and also accurately predicts the results of the Short Pulse Anti-Retroviral Therapy at Seroconversion (SPARTAC) trial. Using this model we find that hybrid spreading is critical to seed and establish infection, and that cell-to-cell spread and increased CD4+ T cell activation are important for HIV-1 progression. Notably, the model predicts that cell-to-cell spread becomes increasingly effective as infection progresses and thus may present a considerable treatment barrier. Deriving predictions of various treatments' influence on HIV-1 progression highlights the importance of earlier intervention and suggests that treatments effectively targeting cell-to-cell HIV-1 spread can delay progression to AIDS. This study suggests that hybrid spreading is a fundamental feature of HIV infection, and provides the mathematical framework incorporating this feature with which to evaluate future therapeutic strategies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.