A stochastic microscopic model for the dynamics of antigenic variation

Area of Science:

• Parasitology
• Evolutionary Biology
• Mathematical Modeling

Background:

• Antigenic variation is a key mechanism for parasites to evade host immune responses.
• Understanding the within-host evolutionary dynamics of parasites is crucial for disease control.

Purpose of the Study:

• To develop a novel mathematical model for within-host parasite evolution.
• To describe the dynamics of parasites undergoing antigenic variation.
• To capture characteristic features like parasitemia waves.

Main Methods:

• Utilized a multi-type branching process model.
• Defined two cell types: resistant clans and sensitive cells.
• Incorporated a density-dependent mechanism.

Main Results:

• The model analytically determines subcritical and supercritical evolutionary regimes.
• The model successfully replicates parasitemia waves observed in experimental data.
• Provides a framework for analyzing parasite evolutionary dynamics.

Conclusions:

• The novel model offers a general framework for studying antigenic variation.
• The model can be adapted for more complex parasitic systems.
• This approach enhances understanding of host-parasite evolutionary interactions.