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Cellular biomechanics: Fluid-structure interaction or structural simulation?
Papadakis, L; Karatsis, E; Michalakis, K; Tsouknidas, A.
Afiliación
  • Papadakis L; Laboratory for Biomaterials and Computational Mechanics, Department of Mechanical Engineering, University of Western Macedonia, Koila GR-50100, Kozani, Greece.
  • Karatsis E; BETA CAE Systems International AG, D4 Business Village Luzern, CH-6039, Switzerland.
  • Michalakis K; Department of Restorative Sciences & Biomaterials, Boston University, Boston MA-02111, USA. Electronic address: kmich@bu.edu.
  • Tsouknidas A; Laboratory for Biomaterials and Computational Mechanics, Department of Mechanical Engineering, University of Western Macedonia, Koila GR-50100, Kozani, Greece. Electronic address: atsouknidas@uowm.gr.
J Biomech ; 136: 111084, 2022 05.
Article en En | MEDLINE | ID: mdl-35428000
The mechanisms by which cells respond to their changing mechanical environment and how this stimulus is decoded intracellularly from the tissue to the organ level, are widely considered as fundamental for most biological processes. Despite this, the underlying phenomena of mechanotransduction, are still not very well understood. Over the last years, numerical modeling has emerged as a cohesive element in the interpretation of biophysical and biochemical assays, concerning cellular mechanotransduction. We hypothesize that the consideration of continuum mechanics (studying all cellular entities as solids) is an inherent limitation of these models, and in part, responsible for their restricted application in cellular biomechanics. To evaluate this, a (verified and validated) 3D model of osteoblast is simulated through structural analysis, employing conventional Finite Element (FE) modelling and the results compared to a Fluid-Structure Interaction (FSI) analysis. Among the trend observed, FSI systematically leads to a higher stimulation of the nucleus (by up to 200%), while FE produced a more uniform stress field, resulting in the deformation of a notably larger portion of its volume. Although FE modelling captures a seemingly correct kinematic response of the cell when subjected to the simulated loading scenario, FSI represents a more realistic alternative. The equitable consideration of both, liquid- and solid-state material characteristics, in the latter analysis, revealed intra-cellular loading patterns that were more realistic from a biomechanical perspective. In conclusion, FSI can provide refined insight as to nuclear loading, thus serving as a far more accurate framework for decoding cellular mechanotransduction.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Mecanotransducción Celular Tipo de estudio: Prognostic_studies Idioma: En Revista: J Biomech Año: 2022 Tipo del documento: Article País de afiliación: Grecia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Mecanotransducción Celular Tipo de estudio: Prognostic_studies Idioma: En Revista: J Biomech Año: 2022 Tipo del documento: Article País de afiliación: Grecia