Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
Universitat Politècnica de Catalunya. LACÀN - Mètodes Numèrics en Ciències Aplicades i Enginyeria
2015-08
Endothelial cells are key units in the regulatory biological process of blood vessels. They represent an interface to transmit variations on the fluid dynamic changes. They are able to adapt its cytoskeleton, by means of microtubules reorientation and F-actin reorganization, due to new mechanical environments. Moreover, they are responsible for initiating a huge cascade of biological processes, such as the release of endothelins (ET-1), in charge of the constriction of the vessel and growth factors such as TGF-ß and PDGF. Although a huge efforts have been made in the experimental characterization and description of these two issues the computational modeling has not gained such an attention. In this work we study the 3D remodeling of endothelial cells based on the main features of blood flow. In particular we study how different oscillatory shear index and the time average wall shear stresses modify the endothelial cell shape. We found our model fitted the experimental works presented before in in vitro studies. We also include our model within a computational fluid dynamics simulation of a carotid artery to evaluate endothelial cell shape index which is a key predictor of atheroma plaque formation. Moreover, our approach can be coupled with models of collagen and smooth muscle cell growth, where remodeling and the associated release of chemical substance are involved.
Peer Reviewed
Postprint (author's final draft)
Article
English
Àrees temàtiques de la UPC::Matemàtiques i estadística::Probabilitat; Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Simulació; Combinatorial probabilities; Numerical analysis--Simulation methods; Endothelial cells; Remodeling; CFD; Probabilitats; Anàlisi numèrica; Classificació AMS::60 Probability theory and stochastic processes::60C05 Combinatorial probability; Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations
http://www.sciencedirect.com/science/article/pii/S0022519315002209
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Open Access
E-prints [72987]