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Effect of Synaptic Transmission on Viral Fitness in HIV Infection

Overview of attention for article published in PLOS ONE, November 2012
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Title
Effect of Synaptic Transmission on Viral Fitness in HIV Infection
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0048361
Pubmed ID
Authors

Natalia L. Komarova, David N. Levy, Dominik 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 saturation of anti-viral factors upon infection of cells, and rate limiting steps during the process of synapse formation.

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Geographical breakdown

Country Count As %
Portugal 1 5%
South Africa 1 5%
Unknown 18 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 35%
Student > Ph. D. Student 5 25%
Student > Master 3 15%
Professor 2 10%
Student > Bachelor 2 10%
Other 1 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 40%
Mathematics 3 15%
Biochemistry, Genetics and Molecular Biology 2 10%
Engineering 2 10%
Physics and Astronomy 2 10%
Other 3 15%