Mathematical modeling of autoimmune disease

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Title Mathematical modeling of autoimmune disease
Publication Type dissertation
School or College College of Science
Department Mathematics
Author Moore, James R.
Date 2015-05
Description A fundamental challenge for the immune system is the distinction between self and nonself, or infected and uninfected. Autoimmune disease arises when the immune response mounts an immune response against the hosts tissues. Via a mathematical model, we show that the immune system can distinguish self from nonself via the interaction of T-cells and and dendritic cells (DCs) and explain how autoimmunity is avoided in most people most of the time. The NOD mouse develops Type 1 diabetes, an autoimmune disease, spontaneously with an incidence of about 80% in females. The progression of Type 1 diabetes may be either accelerated or delayed by viral infection. We first create a mathematical model to understand the factors that affect progression in uninfected mice and how it may be interrupted via certain treatments. We categorize which types of viral infection should accelerate Type 1 diabetes or delay. We find that the timing of infection is important, as well as the cell type infected.
Type Text
Publisher University of Utah
Subject Autoimmunity; Dendritic cells; Regulatory T-cells; T-cells; Type 1 diabetes
Dissertation Institution University of Utah
Dissertation Name Doctor of Philosophy
Language eng
Rights Management Copyright © James R. Moore 2015
Format application/pdf
Format Medium application/pdf
Format Extent 2,529,656 bytes
Identifier etd3/id/3520
ARK ark:/87278/s6qr85d3
Setname ir_etd
ID 197073
Reference URL https://collections.lib.utah.edu/ark:/87278/s6qr85d3
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