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


RESULTS
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.


CONCLUSIONS
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.
Wang
Yunji
Y
Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA. yunjiwang@gmail.com
Han
Hai-Chao
HC
Yang
Jack Y
JY
Lindsey
Merry L
ML
Jin
Yufang
Y
D003198:Computer Simulation; D008264:Macrophages / Q000473:pathology; D008954:Models, Biological; D009203:Myocardial Infarction / Q000473:pathology* / Q000503:physiopathology*; D013997:Time Factors; D020257:Ventricular Remodeling