A conceptual cellular interaction model of left ventricular remodelling post-MI: dynamic network with exit-entry competition strategy

Progressive remodelling of the left ventricle (LV) following myocardial infarction (MI) is an outcome of spatial-temporal cellular interactions among different cell types that leads to heart failure for a significant number of patients. Cellular populations demonstrate temporal profiles of flux post...

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Bibliographic Details
Published in:BMC systems biology 2010-05, Vol.4 Suppl 1 (S1), p.S5-S5, Article S5
Main Authors: Wang, Yunji, Han, Hai-Chao, Yang, Jack Y, Lindsey, Merry L, Jin, Yufang
Format: Article
Language:English
Subjects:
Biology
Competition
Computer Simulation
Evolution
Gene expression
Heart attacks
Macrophages - pathology
Mathematical models
Models, Biological
Myocardial Infarction - pathology
Myocardial Infarction - physiopathology
Studies
Time Factors
Ventricular Remodeling
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Summary:Progressive remodelling of the left ventricle (LV) following myocardial infarction (MI) is an outcome of spatial-temporal cellular interactions among different cell types that leads to heart failure for a significant number of patients. Cellular populations demonstrate temporal profiles of flux post-MI. However, little is known about the relationship between cell populations and the interaction strength among cells post-MI. The objective of this study was to establish a conceptual cellular interaction model based on a recently established graph network to describe the interaction between two types of cells. We performed stability analysis to investigate the effects of the interaction strengths, the initial status, and the number of links between cells on the cellular population in the dynamic network. Our analysis generated a set of conditions on interaction strength, structure of the network, and initial status of the network to predict the evolutionary profiles of the network. Computer simulations of our conceptual model verified our analysis. Our study introduces a dynamic network to model cellular interactions between two different cell types which can be used to model the cellular population changes post-MI. The results on stability analysis can be used as a tool to predict the responses of particular cell populations.
ISSN:1752-0509
1752-0509
DOI:10.1186/1752-0509-4-S1-S5