Reference : A CutFEM Method for a Mechanistic Modelling of Astrocytic Metabolism in 3D Physiologi...
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Engineering, computing & technology : Mechanical engineering
Computational Sciences
http://hdl.handle.net/10993/51757
A CutFEM Method for a Mechanistic Modelling of Astrocytic Metabolism in 3D Physiological Morphologies
English
Farina, Sofia mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
Voorsluijs, Valerie mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Physics and Materials Science (DPHYMS) >]
Claus, Susanne mailto [Onera Palaiseau]
Skupin, Alexander mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Integrative Cell Signalling >]
Bordas, Stéphane mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
7-Jun-2022
Yes
International
ECCOMAS Congress 2022
from 5-06-2022 to 9-06-2022
Oslo
Norway
[en] CutFEM ; unfitted methods ; cellular morphologies
[en] Investigating neurodegenerative diseases can be done complementary through biological and computational experiments. A good computational approach describing a simplification of the reality and focusing only on some features of the problem can help getting insights on the field. The question addressed in our work is the role of astrocytes in neurodegeneration. These cells have two interesting characteristics that we want to investigate in our model: first, their role as metabolic mediator between neurons and blood vessels and second, their peculiar morphology. In fact, metabolic dysfunctions and morphological changes have been noticed in astrocyte affected by neuropathology. Computationally the main difficulty arising from solving a metabolic model into cellular shape comes from the complexity of the domain. The shape of astrocytes are very ramified, with thin branches and sharp edges. As shown in our previous work \cite{Farina}, a \cutfem{} \cite{Burman} approach is a suitable tool to deal with this issue. In our latest work we use real human three-dimensional astrocyte morphologies obtained via microscopy \cite{Salamanca} as domain to solve our system. The performed simulations highlight the effect of morphological changes on the system output. Suggesting that our model can be crucial in understanding the morphological-dependency in neuropathologies and that the spatial component cannot be neglected.
Researchers
http://hdl.handle.net/10993/51757
FnR ; FNR12252781 > Andreas Zilian > DRIVEN > Data-driven Computational Modelling And Applications > 01/09/2018 > 28/02/2025 > 2017

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