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Variable Effect of HIV Superinfection on Clinical Status: Insights From Mathematical Modeling

Overview of attention for article published in Frontiers in Microbiology, July 2018
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Title
Variable Effect of HIV Superinfection on Clinical Status: Insights From Mathematical Modeling
Published in
Frontiers in Microbiology, July 2018
DOI 10.3389/fmicb.2018.01634
Pubmed ID
Authors

Ágnes Móréh, András Szilágyi, István Scheuring, Viktor Müller

Abstract

HIV superinfection (infection of an HIV positive individual with another strain of the virus) has been shown to result in a deterioration of clinical status in multiple case studies. However, superinfection with no (or positive) clinical outcome might easily go unnoticed, and the typical effect of superinfection is unknown. We analyzed mathematical models of HIV dynamics to assess the effect of superinfection under various assumptions. We extended the basic model of virus dynamics to explore systematically a set of model variants incorporating various details of HIV infection (homeostatic target cell dynamics, bystander killing, interference competition between viral clones, multiple target cell types, virus-induced activation of target cells). In each model, we identified the conditions for superinfection, and investigated whether and how successful invasion by a second viral strain affects the level of uninfected target cells. In the basic model, and in some of its extensions, the criteria for invasion necessarily entail a decrease in the equilibrium abundance of uninfected target cells. However, we identified three novel scenarios where superinfection can substantially increase the uninfected cell count: (i) if the rate of new infections saturates at high infectious titers (due to interference competition or cell-autonomous innate immunity); or when the invading strain is more efficient at infecting activated target cells, but less efficient at (ii) activating quiescent cells or (iii) inducing bystander killing of these cells. In addition, multiple target cell types also allow for modest increases in the total target cell count. We thus conclude that the effect of HIV superinfection on clinical status might be variable, complicated by factors that are independent of the invasion fitness of the second viral strain.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 14%
Other 1 7%
Lecturer 1 7%
Student > Bachelor 1 7%
Student > Doctoral Student 1 7%
Other 2 14%
Unknown 6 43%
Readers by discipline Count As %
Immunology and Microbiology 2 14%
Biochemistry, Genetics and Molecular Biology 1 7%
Environmental Science 1 7%
Mathematics 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 8 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 August 2018.
All research outputs
#20,529,980
of 23,099,576 outputs
Outputs from Frontiers in Microbiology
#22,858
of 25,279 outputs
Outputs of similar age
#288,124
of 329,731 outputs
Outputs of similar age from Frontiers in Microbiology
#635
of 736 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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