Document Detail


Deciphering the complexity of acute inflammation using mathematical models.
MedLine Citation:
PMID:  17337784     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Various stresses elicit an acute, complex inflammatory response, leading to healing but sometimes also to organ dysfunction and death. We constructed both equation-based models (EBM) and agent-based models (ABM) of various degrees of granularity--which encompass the dynamics of relevant cells, cytokines, and the resulting global tissue dysfunction--in order to begin to unravel these inflammatory interactions. The EBMs describe and predict various features of septic shock and trauma/hemorrhage (including the response to anthrax, preconditioning phenomena, and irreversible hemorrhage) and were used to simulate anti-inflammatory strategies in clinical trials. The ABMs that describe the interrelationship between inflammation and wound healing yielded insights into intestinal healing in necrotizing enterocolitis, vocal fold healing during phonotrauma, and skin healing in the setting of diabetic foot ulcers. Modeling may help in understanding the complex interactions among the components of inflammation and response to stress, and therefore aid in the development of novel therapies and diagnostics.
Authors:
Yoram Vodovotz
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Review    
Journal Detail:
Title:  Immunologic research     Volume:  36     ISSN:  0257-277X     ISO Abbreviation:  Immunol. Res.     Publication Date:  2006  
Date Detail:
Created Date:  2007-03-05     Completed Date:  2007-05-01     Revised Date:  2007-12-03    
Medline Journal Info:
Nlm Unique ID:  8611087     Medline TA:  Immunol Res     Country:  United States    
Other Details:
Languages:  eng     Pagination:  237-45     Citation Subset:  IM    
Affiliation:
Department of Surgery, University of Pittsburgh, and Center for Inflammation and Regenerative Modeling, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15219, USA. vodovotzy@upmc.edu
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MeSH Terms
Descriptor/Qualifier:
Animals
Humans
Inflammation / immunology*
Models, Immunological*
Models, Theoretical*
Sepsis / immunology
Wound Healing / immunology
Grant Support
ID/Acronym/Agency:
P50-GM-53789-08/GM/NIGMS NIH HHS; R01-GM-67240-02/GM/NIGMS NIH HHS; R01-HL-76157-02/HL/NHLBI NIH HHS

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