In 6, we studied host response to a pathogen which uses a cycle of immunologically distinct stages to establish and maintain infection. We showed that for generic parameter values, the system has a unique biologically meaningful stable fixed point. That paper used a simplified model of T-cell activation, making proliferation depend linearly on antigen-T-cell encounters. Here we generalize the way in which T-cell proliferation depends on the sizes of the antigenic populations. In particular, we allow this response to become saturated at high levels of antigen. We show that this family of generalized models shares the same steady-state behavior properties with the simpler model contemplated in 6 while offering a new mathematical explanation of post-transplant lympho-proliferative disorder.
|Title of host publication||BIOMAT 2012|
|Subtitle of host publication||International Symposium on Mathematical and Computational Biology|
|Editors||Rubem P Mondaini|
|Publisher||World Scientific Publishing|
|Number of pages||16|
|Publication status||Published - Aug 2013|
Shapiro, M., & Delgado-Eckert, E. (2013). Saturation effects on T-cell activation in a model of a multi-stage pathogen. In R. P Mondaini (Ed.), BIOMAT 2012 : International Symposium on Mathematical and Computational Biology (pp. 148-164). World Scientific Publishing. https://doi.org/10.1142/9789814520829_0009