
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>MODELLING INTERACTION BETWEEN CD8+ T CELLS AND BETA CELLS IN PATHOGENESIS OF TYPE 1 DIABETES</dc:title>
  <dc:creator>Xu, Qian</dc:creator>
  <dc:subject>Agent-based Modelling</dc:subject>
  <dc:subject>Basement membrane</dc:subject>
  <dc:subject>Beta cells</dc:subject>
  <dc:subject>CD8+ T cells</dc:subject>
  <dc:subject>Type 1 Diabetes</dc:subject>
  <dc:description>Diabetes is one of the prevalent diseases in the USA, which affects the lives of millions of people. In 2010 only, there was a total of 234,051 deaths linked to diabetes in the USA. Research related to preclinical and clinical assays are always costly and time consuming. Modeling is a helpful method to reduce the cost of clinical experiments and accelerates the discovery and improvement of new therapies. This research is focused on the development of a high performance agent-based model simulating the pathogenesis of Type 1 diabetes mellitus in pancreas. The whole immune response takes place in three compartments, pancreatic lymph node, circulation, and pancreas. A significant part of the complex interactions leading to Type 1 diabetes takes place in the pancreatic tissue. Therefore, the focus was placed on the islets of Langerhans in the pancreas, and the interaction of CD8+ T cells and Beta cells were modeled. T cell behavior was incorporated as rules in this model such as activation, migration, proliferation, apoptosis, and cytotoxicity. Likewise Beta cell death and regeneration under the T cell attack were modeled. The model is able to capture the trends of T cell and Beta cell variations during the disease progression and portrays the role of CD8+ T cells in the process. It is expected that, with the addition of other immune system and pancreatic tissue components, the model will be a valuable tool for the planning of clinical studies.</dc:description>
  <dc:description>M.S. in Biomedical Engineering, December 2016</dc:description>
  <dc:contributor>Cinar, Ali</dc:contributor>
  <dc:date>2016</dc:date>
  <dc:date>2016-12</dc:date>
  <dc:type>Thesis</dc:type>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>islandora:9174</dc:identifier>
  <dc:identifier>http://hdl.handle.net/10560/4031</dc:identifier>
  <dc:source>BME / Biomedical Engineering</dc:source>
  <dc:source>Illinois Institute of Technology</dc:source>
  <dc:language>en</dc:language>
  <dc:rights>In Copyright</dc:rights>
  <dc:rights>http://rightsstatements.org/page/InC/1.0/</dc:rights>
  <dc:rights>Restricted Access</dc:rights>
</oai_dc:dc>
