Title
A multiscale modeling approach to inflammation: A case study in human endotoxemia
Abstract
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.
Year
DOI
Venue
2013
10.1016/j.jcp.2012.09.024
J. Comput. Physics
Keywords
Field
DocType
interacting multiscale pathway,clinical management,clinical observation,heart rate variability,discrete model,dysregulated inflammatory response,multiscale modeling approach,inflammatory mediator,inflammatory response,inflammatory disease,case study,human endotoxemia,systemic inflammation,systems biology,microarray,circadian
Disease,Neuroscience,Mathematical optimization,Heart rate variability,Systemic inflammation,Systems biology,Multiscale modeling,Sepsis,Inflammation,Mathematics
Journal
Volume
ISSN
Citations 
244,
0021-9991
1
PageRank 
References 
Authors
0.37
1
10