Document Detail


Cellular automata modeling of pulmonary inflammation.
MedLine Citation:
PMID:  23113375     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
Better understanding of the acute/chronic inflammation in airways is very important in order to avoid lung injuries for patients undergoing mechanical ventilation for treatment of respiratory problems. Local lung inflammation is triggered by many mechanisms within the lung, including pathogens. In this study, a cellular automata based model (CA) for pulmonary inflammation that incorporates biophysical processes during inflammatory responses was developed. The developed CA results in three possible outcomes related to homeostasis (healing), persistent infection, and resolved infection with high inflammation (inflamed state). The results from the model are validated qualitatively against other existing computational models. A sensitivity analysis was conducted on the model parameters and the outcomes were assessed. Overall, the model results showed possible outcomes that have been seen in clinical practice and animal models. The present model can be extended to include inflammation resulting from damage tissue and eventually to model inflammation resulting from acute lung injury and multiple organ dysfunction syndromes in critical illness and injury.
Authors:
Angela Reynolds; Kittisak Koombua; Ramana M Pidaparti; Kevin R Ward
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Molecular & cellular biomechanics : MCB     Volume:  9     ISSN:  1556-5297     ISO Abbreviation:  Mol Cell Biomech     Publication Date:  2012 Jun 
Date Detail:
Created Date:  2012-11-01     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101253756     Medline TA:  Mol Cell Biomech     Country:  United States    
Other Details:
Languages:  eng     Pagination:  141-56     Citation Subset:  IM    
Affiliation:
Department of Mathematics and Applied Mathematics, Virginia Commonwealth University, 401 W. Main Street, Room E3252, Richmond, VA 23284, USA.
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