| Literature DB >> 18835282 |
Yoram Vodovotz1, Gregory Constantine, Jonathan Rubin, Marie Csete, Eberhard O Voit, Gary An.
Abstract
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.Entities:
Mesh:
Year: 2008 PMID: 18835282 PMCID: PMC2667966 DOI: 10.1016/j.mbs.2008.07.013
Source DB: PubMed Journal: Math Biosci ISSN: 0025-5564 Impact factor: 2.144