Development of a two-dimensional agent-based model for chronic chagasic cardiomyopathy after stem cell transplantation

Motivation: A significant issue in stem cell therapy is to understand the role of this type of cell in the tissue regeneration. To explain this mechanism, an experimental study has quantified that the bone marrow cell transplantation decreases the number of inflammatory cells and reduces the fibrosi...

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Veröffentlicht in:Bioinformatics 2008-09, Vol.24 (18), p.2051-2056
Hauptverfasser: Galvão, Viviane, Miranda, José Garcia Vivas, Ribeiro-dos-Santos, Ricardo
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Sprache:eng
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Zusammenfassung:Motivation: A significant issue in stem cell therapy is to understand the role of this type of cell in the tissue regeneration. To explain this mechanism, an experimental study has quantified that the bone marrow cell transplantation decreases the number of inflammatory cells and reduces the fibrosis area in chagasic mice. Using this experimental data, we have developed an agent-based computational model to investigate the regeneration of the chronic chagasic cardiomyopathy after bone marrow stem cell transplantation. Results: Our model includes six different types of agents: inflammatory cell, fibrosis area, cardiomyocyte, proinflammatory cytokine tumor necrosis factor-α, Trypanosoma cruzi parasite and bone marrow stem cell. This latter promotes apoptosis in inflammatory cells, reduction in the fibrosis area and can differentiate into cardiomyocyte. Proinflammatory cytokine tumor necrosis factor-α can increase the fibrosis area and T.cruzi can increase the number of inflammatory cells. Our results for both apoptosis of inflammatory cells and reduction in the fibrosis area were compared with experimental data. They suggest that the concentration pattern is the most important factor to characterize the kinetics of cardiac tissue regeneration after bone marrow stem cell transplantation. Availability: The source code of our software is available online at www.vivas.ufba.br/bone/bone.zip Contact: vivianegalvao@uefs.br Supplementaty information: Supplementary data are available at Bioinformatics online.
ISSN:1367-4803
0266-7061
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btn362