Agent-based modeling of mesenchymal stem cells on a 3D-printed bio-device for the regenerative treatment of the infarcted myocardium

Lopez, Diana V. Ramirez; Peña-Reyes, Carlos Andrés; Rojas, Alvaro J.

doi:10.1109/bibm.2018.8621314

Cited by 2 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Modelling differentiation, apoptosis, proliferation and migration makes the results qualitatively comparable to the actual behavior that cells would have on the infarcted myocardium [10], as these processes occur naturally at a cellular level [19] and it is expected from them to have an effect on the infarcted myocardium [10] after implanting the proposed scaffold.…”

Section: Agent-based Modelingmentioning

confidence: 71%

“…the "inflammation" attribute of the tissue agents within that radius is set to 1 because MI is associated with an inflammatory reaction [10,11]. Finally, the values of the maximum and minimum probability that an MSC will have of differentiating to one of the other cell types if all of these were occupied by cells of one type only are set ( Figure 3).…”

Section: 'Setup' Methodsmentioning

confidence: 99%

“…The cell population of the scaffold can be modeled as a system of interacting and reacting agents, where the reactions at micro level cause emergent behaviors at the system level. This is because agents can be modified through the addition of attributes that correspond to biological properties of cells and the interactions between large amounts of agents can be modeled according to what is known about the different processes that occur at a cellular level [10]. We use Netlogo, a free, open-source software that provides a programmable modeling environment for the simulation of natural and social phenomena [11].…”

Section: In Silico Approach: Agent-based Modelingmentioning

confidence: 99%

See 2 more Smart Citations

Isolation, Characterization, and Agent-Based Modeling of Mesenchymal Stem Cells in a Bio-construct for Myocardial Regeneration Scaffold Design

Lopez

Escobar

Peña-Reyes

et al. 2019

Data

View full text Add to dashboard Cite

Regenerative medicine involves methods to control and modify normal tissue repair processes. Polymer and cell constructs are under research to create tissue that replaces the affected area in cardiac tissue after myocardial infarction (MI). The aim of the present study is to evaluate the behavior of differentiated and undifferentiated mesenchymal stem cells (MSCs) in vitro and in silico and to compare the results that both offer when it comes to the design process of biodevices for the treatment of infarcted myocardium in biomodels. To assess in vitro behavior, MSCs are isolated from rat bone marrow and seeded undifferentiated and differentiated in multiple scaffolds of a gelled biomaterial. Subsequently, cell behavior is evaluated by trypan blue and fluorescence microscopy, which showed that the cells presented high viability and low cell migration in the biomaterial. An agent-based model intended to reproduce as closely as possible the behavior of individual MSCs by simulating cellular-level processes was developed, where the in vitro results are used to identify parameters in the agent-based model that is developed, and which simulates cellular-level processes: Apoptosis, differentiation, proliferation, and migration. Thanks to the results obtained, suggestions for good results in the design and fabrication of the proposed scaffolds and how an agent-based model can be helpful for testing hypothesis are presented in the discussion. It is concluded that assessment of cell behavior through the observation of viability, proliferation, migration, inflammation reduction, and spatial composition in vitro and in silico, represents an appropriate strategy for scaffold engineering.

show abstract

Section: Agent-based Modelingmentioning

confidence: 71%

Section: 'Setup' Methodsmentioning

confidence: 99%

Section: In Silico Approach: Agent-based Modelingmentioning

confidence: 99%

See 1 more Smart Citation