ArticleJournal of mathematical biology2019
A kinetic model of T cell autoreactivity in autoimmune diseases.
Article in Journal of mathematical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mathematical modeling in autoimmune diseases: from theory to clinical application.Frontiers in immunology · 2024Pooled it
- Predicting plant growth response under fluctuating temperature by carbon balance modelling.Communications biology · 2022Article
- Quantitative Predictive Modelling Approaches to Understanding Rheumatoid Arthritis: A Brief Review.Cells · 2019Review
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Authors and funding
3 authors.
Funding
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Abstract
We construct a mathematical model of kinetic type in order to describe the immune system interactions in the context of autoimmune disease. The interacting populations are self-antigen presenting cells, self-reactive T cells and the set of immunosuppressive cells consisting of regulatory T cells and Natural Killer cells. The main aim of our work is to develop a qualitative analysis of the model equations and investigate the existence of biologically realistic solutions. Having this goal in mind we describe the interactions between cells during an autoimmune reaction based on biological considerations that are given in the literature and we show that the corresponding system of integro-differential equations has finite positive solutions. The asymptotic behaviour of the solution of the system is also studied. We complement our mathematical analysis with numerical simulations that study the sensitivity of the model to parameters related to proliferation of immunosuppressive cells, destruction of self-antigen presenting cells and self-reactive T cells and tolerance of SRTCs to self-antigens.
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