Biomechanics and Modeling in Mechanobiology

, Volume 17, Issue 1, pp 87–101 | Cite as

Mechanobiological model of arterial growth and remodeling

  • Maziyar Keshavarzian
  • Clark A. Meyer
  • Heather N. Hayenga
Original Article

Abstract

A coupled agent-based model (ABM) and finite element analysis (FEA) computational framework is developed to study the interplay of bio-chemo-mechanical factors in blood vessels and their role in maintaining homeostasis. The agent-based model implements the power of REPAST Simphony libraries and adapts its environment for biological simulations. Coupling a continuum-level model (FEA) to a cellular-level model (ABM) has enabled this computational framework to capture the response of blood vessels to increased or decreased levels of growth factors, proteases and other signaling molecules (on the micro scale) as well as altered blood pressure. Performance of the model is assessed by simulating porcine left anterior descending artery under normotensive conditions and transient increases in blood pressure and by analyzing sensitivity of the model to variations in the rule parameters of the ABM. These simulations proved that the model is stable under normotensive conditions and can recover from transient increases in blood pressure. Sensitivity studies revealed that the model is most sensitive to variations in the concentration of growth factors that affect cellular proliferation and regulate extracellular matrix composition (mainly collagen).

Keywords

Agent-based modeling Finite element analysis Coronary artery Multiscale modeling 

Notes

Acknowledgements

The authors acknowledge the financial support for this work provided by the University of Texas at Dallas (startup funds to HNH) and the American Heart Association (Scientist Development Grant 17SDG33400239 to HNH). We would like to thank UT Dallas undergraduate Ramya Akkala and graduate student Rita Bhui for their assistance in scoring the ABM rules.

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

10237_2017_946_MOESM1_ESM.pdf (5.6 mb)
Supplementary material 1 (pdf 5691 KB)

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© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Department of Biomedical EngineeringThe University of Texas at DallasRichardsonUSA

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