Immunization and Aging: a Learning Process in the Immune Network

TL;DR

This paper models the immune system as a cellular automaton to study how aging affects its adaptability and response, showing good agreement with experimental data on mice.

Contribution

It introduces a cellular automaton model of the immune network that captures aging-related changes and immune response behaviors.

Findings

Model reproduces immune refractory behavior.

Shows loss of plasticity with aging.

Aligns with experimental observations on mice.

Abstract

The immune system can be thought as a complex network of different interacting elements. A cellular automaton, defined in shape-space, was recently shown to exhibit self-regulation and complex behavior and is, therefore, a good candidate to model the immune system. Using this model to simulate a real immune system we find good agreement with recent experiments on mice. The model exhibits the experimentally observed refractory behavior of the immune system under multiple antigen presentations as well as loss of its plasticity caused by aging.