A multiscale modeling approach to inflammation: A case study in human endotoxemia

Jeremy D. Scheff, Panteleimon D. Mavroudis, Panagiota T. Foteinou, Gary An, Steve E. Calvano, John Doyle, Thomas E. Dick, Stephen F. Lowry, Yoram Vodovotz, Ioannis P. Androulakis*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Inflammation is a critical component in the body's response to injury. A dysregulated inflammatory response, in which either the injury is not repaired or the inflammatory response does not appropriately self-regulate and end, is associated with a wide range of inflammatory diseases such as sepsis. Clinical management of sepsis is a significant problem, but progress in this area has been slow. This may be due to the inherent nonlinearities and complexities in the interacting multiscale pathways that are activated in response to systemic inflammation, motivating the application of systems biology techniques to better understand the inflammatory response. Here, we review our past work on a multiscale modeling approach applied to human endotoxemia, a model of systemic inflammation, consisting of a system of compartmentalized differential equations operating at different time scales and through a discrete model linking inflammatory mediators with changing patterns in the beating of the heart, which has been correlated with outcome and severity of inflammatory disease despite unclear mechanistic underpinnings. Working towards unraveling the relationship between inflammation and heart rate variability (HRV) may enable greater understanding of clinical observations as well as novel therapeutic targets.

Original languageEnglish
Pages (from-to)279-289
Number of pages11
JournalJournal of Computational Physics
StatePublished - 1 Jul 2013
Externally publishedYes


  • Autonomic dysfunction
  • Circadian
  • Heart rate variability
  • Microarray
  • Systems biology


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