Effect of synaptic transmission on viral fitness in HIV infection

PloS One
Natalia L KomarovaDominik Wodarz

Abstract

HIV can spread through its target cell population either via cell-free transmission, or by cell-to-cell transmission, presumably through virological synapses. Synaptic transmission entails the transfer of tens to hundreds of viruses per synapse, a fraction of which successfully integrate into the target cell genome. It is currently not understood how synaptic transmission affects viral fitness. Using a mathematical model, we investigate how different synaptic transmission strategies, defined by the number of viruses passed per synapse, influence the basic reproductive ratio of the virus, R(0), and virus load. In the most basic scenario, the model suggests that R(0) is maximized if a single virus particle is transferred per synapse. R(0) decreases and the infection eventually cannot be maintained for larger numbers of transferred viruses, because multiple infection of the same cell wastes viruses that could otherwise enter uninfected cells. To explain the relatively large number of HIV copies transferred per synapse, we consider additional biological assumptions under which an intermediate number of viruses transferred per synapse could maximize R(0). These include an increased burst size in multiply infected cells, the saturati...Continue Reading

Citations

Jan 30, 2013·Mathematical Biosciences·Natalia L Komarova, Dominik Wodarz
Nov 26, 2015·Mathematical Biosciences·Farrah Sadre-MarandiXiufen Zou
Dec 17, 2014·Journal of Theoretical Biology·John Wei LauDominik Wodarz
Mar 15, 2015·Mathematical Biosciences·Dustin Phan, Dominik Wodarz
Sep 13, 2016·Annual Review of Virology·Frederik Graw, Alan S Perelson
Jun 26, 2020·Journal of Mathematical Biology·Ting GuoLibin Rong
Jan 26, 2018·PLoS Computational Biology·Koich Saeki, Akira Sasaki
Mar 27, 2020·Journal of the Royal Society, Interface·Jesse KregerDominik Wodarz
Feb 23, 2019·Evolution Letters·Dominik WodarzNatalia L Komarova
Jul 27, 2018·Journal of Theoretical Biology·Cesar Vargas-GarciaAbhyudai Singh
Dec 23, 2021·PLoS Computational Biology·Jesse KregerDominik Wodarz

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