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Immune response and within-host viral evolution: Immune response can accelerate evolution.

Andrei Korobeinikov1

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Summary
This summary is machine-generated.

An insufficient immune response can accelerate viral evolution within the host, promoting higher Darwinian fitness. This study models viral evolution dynamics to confirm this impact on infection progression.

Keywords:
HIVImmune responseMathematical modelPhenotype spaceTraveling waveViral dynamicsViral evolutionViral mutation

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Area of Science:

  • Virology
  • Immunology
  • Evolutionary Biology

Background:

  • Within-host viral evolution is a key factor in disease progression and treatment resistance.
  • The role of the host immune system in shaping viral evolution remains an active area of research.
  • Previous models have explored viral dynamics but often lack detailed incorporation of immune-mediated evolutionary pressures.

Purpose of the Study:

  • To investigate how immune response influences viral evolution towards increased Darwinian fitness.
  • To test the hypothesis that sub-lethal immune responses accelerate viral evolution.
  • To develop a mechanistic model for within-host viral evolution incorporating immune interactions.

Main Methods:

  • Formulated a mathematical model of within-host viral evolution with immune response.
  • Extended a continuous phenotype space model incorporating strain-specific immunity and cross-immunity.
  • Utilized mechanistic principles based on HIV dynamics models (Nowak-May, Wodarz).
  • Incorporated four distinct mathematical models of cell-mediated immune response for robustness.

Main Results:

  • Simulations confirmed that immune responses unable to eliminate viruses significantly accelerate viral evolution.
  • The rate of viral evolution is directly influenced by the strength and specificity of the immune pressure.
  • Model demonstrates that incomplete viral clearance by the immune system drives adaptation.

Conclusions:

  • Sub-optimal immune responses act as a selective pressure, accelerating viral adaptation and fitness.
  • Understanding these dynamics is crucial for developing effective antiviral strategies and therapies.
  • The model provides a framework for studying host-pathogen evolutionary interactions.