Long Term and Short Term Effects of Perturbations in a Immune Network Model

TL;DR

This paper reviews and extends a model of immune network dynamics, analyzing how small and large perturbations influence long-term behavior and aging, with implications for understanding immune system complexity.

Contribution

The paper introduces new findings on the combined effects of small and large perturbations in immune network models, highlighting their cooperative role in complex dynamics.

Findings

Both small and large perturbations significantly impact the network's dynamics.

Cooperative effects between perturbation sizes are crucial for reproducing experimental immune aging results.

The model demonstrates complex behavior consistent with biological immune responses.

Abstract

In this paper we review the trajectory of a model proposed by Stauffer and Weisbuch in 1992 to describe the evolution of the immune repertoire and present new results about its dynamical behavior. Ten years later this model, which is based on the ideas of the immune network as proposed by Jerne, has been able to describe a multi-connected network and could be used to reproduce immunization and aging experiments performed with mice. Besides its biological implications, the physical aspects of the complex dynamics of this network is very interesting {\it per se}. The immunization protocol is simulated by introducing small and large perturbations (damages), and in this work we discuss the role of both. In a very recent paper we studied the aging effects by using auto-correlation functions, and the results obtained apparently indicated that the small perturbations would be more important than the large ones, since their cumulative effects may change the attractor of the dynamics. However our new results indicate that both types of perturbations are important. It is the cooperative effects between both that lead to the complex behavior which allows to reproduce experimental results.