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JAKKA, V. BURŠA, J.
Original Title
Impact of physiological loads of arterial wall on nucleus deformation in endothelial cells: A computational study
Type
journal article in Web of Science
Language
English
Original Abstract
Introduction: Computational modeling can enhance the understanding of cell mechanics. To achieve this, finite element models of endothelial cells were proposed with shapes mimicking their natural state inside the endothelium within the cardiovascular system. Implementing the recently proposed bendo-tensegrity concept, these models consider flexural (buckling) as well as tensional/compressional behavior of microtubules and also incorporate the waviness of intermediate filaments. Materials and methods: Four different models were created (flat and domed hexagons, both regular and elongated in the direction of blood flow) and loaded by biaxial deformation, blood pressure, and shear load from blood flow - natural physiological conditions of the arterial endothelium - aiming to investigate the "in situ" mechanical response of the cell. Results: The impact of individual components of loads on the nucleus deformation (more specifically on the first principal strain) potentially influencing mechanotransduction was investigated and the role of the cytoskeleton and its constituents in the mechanical response of the endothelial cell was assessed. The results show (i) the impact of pulsating blood pressure on cyclic deformations of the nucleus, which increase substantially with decreasing axial pre-stretch of the cell, (ii) the importance of relatively low shear stresses in the cell response and nucleus deformation. Conclusion: Not only the pulsatile blood pressure but also the wall shear stress may induce significant deformation of the nucleus and thus trigger remodelation processes in endothelial cells.
Keywords
Cell mechanics; Biaxial load; Finite element model; Bendo-tensegrity; Shear load
Authors
JAKKA, V.; BURŠA, J.
Released
24. 1. 2022
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Location
OXFORD
ISBN
0010-4825
Periodical
COMPUTERS IN BIOLOGY AND MEDICINE
Year of study
143
Number
State
United States of America
Pages from
105266-1
Pages to
105266-11
Pages count
11
URL
https://www.sciencedirect.com/science/article/pii/S0010482522000580