Mechanistic simulations of inflammation: Current state and future prospects

Yoram Vodovotz, Gregory Constantine, Jonathan Rubin, Marie Csete, Eberhard O. Voit, Gary An*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

115 Scopus citations


Inflammation is a normal, robust physiological process. It can also be viewed as a complex system that senses and attempts to resolve homeostatic perturbations initiated from within the body (for example, in autoimmune disease) or from the outside (for example, in infections). Virtually all acute and chronic diseases are either driven or modulated by inflammation. The complex interplay between beneficial and harmful arms of the inflammatory response may underlie the lack of fully effective therapies for many diseases. Mathematical modeling is emerging as a frontline tool for understanding the complexity of the inflammatory response. A series of articles in this issue highlights various modeling approaches to inflammation in the larger context of health and disease, from intracellular signaling to whole-animal physiology. Here we discuss the state of this emerging field. We note several common features of inflammation models, as well as challenges and prospects for future studies.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalMathematical Biosciences
Issue number1
StatePublished - Jan 2009
Externally publishedYes


  • Agent-based modeling
  • Computer simulation
  • Endotoxin
  • Infection
  • Inflammation
  • Mathematical modeling
  • Ordinary differential equations
  • Parameter estimation
  • Personalized medicine
  • Preconditioning
  • Sepsis
  • Stochastic simulations
  • Toll-like receptors
  • Trauma


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