Blood flow and endothelial cell phenotype regulation during sprouting angiogenesis

Hossein Bazmara, M. Soltani, Mostafa Sefidgar, Majid Bazargan, Mojtaba Mousavi Naeenian, Arman Rahmim

Research output: Contribution to journalArticle

Abstract

The role of the endothelial cell environment and shear stress induced by blood flow in phenotype determination and lumen formation has been clearly illustrated in recent studies. In the present work, a model is developed to map environmental and flow induced signals in sprouting angiogenesis to endothelial cell phenotype and lumen formation. To follow the endothelial cell lumen formation, its signaling pathway is incorporated in the present work within the phenotype determination pathway that has been recently utilized to model endothelial cell migration, proliferation, and apoptosis. Moreover, a signaling cascade for shear stress activation of endothelial cells is proposed and used for phenotype determination with activation of blood flow. A Boolean network model is employed to build a hybrid map for the relation between the endothelial cell environmental signals and the endothelial cell fate in sprouting angiogenesis with and without blood flow. This map is very useful in the development of models for sprouting angiogenesis. Moreover, this study shows that inhibition of intracellular signaling molecules, solely or in pairs, blocks angiogenic-signaling pathways and can be used to inhibit angiogenesis.

Original languageEnglish (US)
Pages (from-to)547-558
Number of pages12
JournalMedical and Biological Engineering and Computing
Volume54
Issue number2-3
DOIs
StatePublished - Mar 1 2016

Keywords

  • Blood flow
  • Boolean network
  • Lumen formation
  • Shear stress
  • Signal transduction

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computer Science Applications

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  • Cite this

    Bazmara, H., Soltani, M., Sefidgar, M., Bazargan, M., Mousavi Naeenian, M., & Rahmim, A. (2016). Blood flow and endothelial cell phenotype regulation during sprouting angiogenesis. Medical and Biological Engineering and Computing, 54(2-3), 547-558. https://doi.org/10.1007/s11517-015-1341-4