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PubMed · 12680203

TCM-1: a nonlinear dynamical computational model to simulate cellular changes in the T cell system; conceptional design and validation.

Gerhard R F Krueger·Michael E Brandt·Guanyu Wang·L Maximilian Buja
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Abstract

Based upon a previously developed theory of dysregulative lymphoma pathogenesis, a computer model is designed in order to simulate cell changes occurring in disturbances of the T cell immune system and in lymphoproliferative diseases. The model is based upon the concept that factors identified as proliferation factors, differentiation factors and inhibition factors exert a network regulation upon development and function of the T cell system, and that selective disturbances of these factors may lead to hyperplastic, aplastic or neoplastic diseases. The resulting computer model (TCM-1) was validated by comparing it with data from human diseases such as acute HHV-6 (viral) infection, chronic persistent HHV-6 infection, progressive HIV1 infection and HTLV-1 infection, and comparing the simulation results with the actual cell data in the human patients. All these infections target the same T cell population (i.e. CD4 + T helper cells), yet cause different prototypical reactions (hyperplastic, aplastic, neoplastic). The described computer model, which was successfully used to simulate changes in the benign lymphoproliferative disease, Canale-Smith syndrome, will serve as the basis model for further supplementation to accommodate identified factorial influences such as by cytokines, chemokines and others.

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AdultCD4-Positive T-LymphocytesCell DifferentiationCell DivisionComputer SimulationHIV InfectionsHIV-1HTLV-I InfectionsHerpesvirus 6, HumanHuman T-lymphotropic virus 1HumansLymphoproliferative DisordersModels, ImmunologicalNonlinear DynamicsRoseolovirus InfectionsT-Lymphocytes, Helper-InducerVirus DiseasesJournal Article

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Gerhard R F Krueger, Michael E Brandt, Guanyu Wang, L Maximilian Buja. TCM-1: a nonlinear dynamical computational model to simulate cellular changes in the T cell system; conceptional design and validation.. https://pubmed.ncbi.nlm.nih.gov/12680203/

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