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Hypothesis and Theory ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Physiol. | doi: 10.3389/fphys.2019.01107

A mathematical model for DC vaccine treatment of type I diabetes

  • 1Pomona College, United States
  • 2Cornell University, United States
  • 3Aditx Therapeutics, Inc., United States
  • 4Harvey Mudd College, United States

Type I diabetes (T1D) is an autoimmune disease that can be managed, but for which there is currently no cure. Recent discoveries, particularly in mouse models, indicate that targeted modulation of the immune response has the potential to move an individual from a diabetic to a long-term, if not permanent, healthy state.
In this paper we develop a single compartment mathematical model that captures the dynamics of dendritic cells (DC and tDC), T cells (effector and regulatory), and macrophages in the development of type I diabetes. The model supports the hypothesis that differences in macrophage clearance rates play a significant role in determining whether or not an individual is likely to become diabetic subsequent to a significant immune challenge. With this model we are able to explore the effects of strengthening the anti-inflammatory component of the immune system in a vulnerable individual. Simulations
indicate that there are windows of opportunity in which treatment intervention is more likely to be beneficial in protecting an individual from entering a diabetic state.
This model framework can be used as a foundation for modeling future T1D treatments as they are developed.

Keywords: type I diabetes, Mathematical model (MM), Treatment simulation, mathematical biology, Biomathematics, simulation, patient specific modeling

Received: 03 Apr 2019; Accepted: 12 Aug 2019.

Edited by:

Zbigniew R. Struzik, The University of Tokyo, Japan

Reviewed by:

Lucy S. Walker, University College London, United Kingdom
James R. Moore, Fred Hutchinson Cancer Research Center, United States  

Copyright: © 2019 Shtylla, Gee, Shabahang, Eldevik and DePillis. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: PhD. Lisette DePillis, Harvey Mudd College, Claremont, United States, depillis@hmc.edu