Mathematical Model of the Immune Response

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This Demonstration shows a basic mathematical model of the immune response.
Contributed by: Clay Gruesbeck (August 2012)
Open content licensed under CC BY-NC-SA
Snapshots
Details
A basic mathematical model of the immune response [1] is described by a system of two ordinary differential equations:
,
,
where represents the target, which may be any biological material subject to an immune response (bacteria in this case);
is the elimination capacity of the immune system, here represented by cells;
and
are the rates of reproduction and destruction of the target;
is the rate of cell death; and
is time.
describes the formation of cells due to the presence of bacteria, and
depicts an autocatalytic increase in cells. For the purposes of this Demonstration we use
and
.
These equations correspond to a sigmoid shape for these functions and emphasize that the immune system may ignore very low bacterial concentrations, and that a critical number of immune cells may be necessary to obtain an autocatalytic effect. The constants and
represent precursor cell pool sizes. These equations are solved using Mathematica's built-in function
NDSolve, and the results are presented in plots of
and
versus time and in the
plane. At
, no specialized cells are present and
.
In response to an initial dose of bacteria, the active cells increase and converge toward the immune state where no bacteria, but only memory cells, are present. In a secondary infection (the dotted lines), the immune system responds faster; conversely, the immune system can be overwhelmed by bacteria that have a high reproduction or low destruction rate.
Reference
[1] H. Mayer, K. S. Zaenker, and U. an der Heiden, "A Basic Mathematical Model of the Immune Response," Chaos, Solitrons, and Fractals, 5(1), 1995 pp. 155–161. doi: 10.1063/1.166098.
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