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Backward bifurcation in within-host HIV models.

Xinqi Xie1, Junling Ma1, P van den Driessche1

  • 1Department of Mathematics and Statistics, University of Victoria, Victoria, BC, Canada.

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|February 26, 2021
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Summary
This summary is machine-generated.

HIV infection dynamics can exhibit bistability due to the proliferation of naive CD4 T cells, creating a susceptible population. Controlling HIV spread requires reducing the viral reproduction number below a critical threshold (RC).

Keywords:
Backward bifurcationHIVWithin-host dynamics

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Area of Science:

  • Immunology
  • Mathematical Biology
  • Virology

Background:

  • Naive CD4 T cells activate and proliferate, generating helper T cells and increasing susceptibility to HIV.
  • HIV dynamics can be influenced by the generation of new susceptible cell populations.

Purpose of the Study:

  • To investigate the phenomenon of backward bifurcation in within-host HIV models.
  • To determine the conditions under which bistability occurs in HIV infection.

Main Methods:

  • Construction of a simple within-host HIV model incorporating key variables: healthy naive CD4 T cells, helper T cells, infected CD4 T cells, and virus.
  • Theoretical and numerical analysis of the model, particularly concerning the viral basic reproduction number (R0) and the threshold RC.

Main Results:

  • Bistability, characterized by backward bifurcation, can occur when RC < R0 < 1.
  • The activation of healthy naive CD4 T cells into helper T cells contributes to the susceptible population and backward bifurcation.
  • Backward bifurcation may persist even with latent infections and in extended models including CTL dynamics.

Conclusions:

  • The generation of new susceptible cells through naive CD4 T cell activation can lead to bistability in HIV dynamics.
  • Reducing the viral reproduction number below RC is crucial for controlling within-host HIV spread.
  • Therapeutic strategies may need to target the reduction of R0 to below RC to effectively manage HIV infection.