A Continuum-Tensegrity Computational Model for Chondrocyte Biomechanics in AFM Indentation and Micropipette Aspiration.


Journal

Annals of biomedical engineering
ISSN: 1573-9686
Titre abrégé: Ann Biomed Eng
Pays: United States
ID NLM: 0361512

Informations de publication

Date de publication:
Dec 2022
Historique:
received: 25 04 2022
accepted: 05 07 2022
pubmed: 26 7 2022
medline: 30 12 2022
entrez: 25 7 2022
Statut: ppublish

Résumé

Mechanical stimuli are fundamental in the development of organs and tissues, their growth, regeneration or disease. They influence the biochemical signals produced by the cells, and, consequently, the development and spreading of a disease. Moreover, tumour cells are usually characterized by a decrease in the cell mechanical properties that may be directly linked to their metastatic potential. Thus, recently, the experimental and computational study of cell biomechanics is facing a growing interest. Various experimental approaches have been implemented to describe the passive response of cells; however, cell variability and complex experimental procedures may affect the obtained mechanical properties. For this reason, in-silico computational models have been developed through the years, to overcome such limitations, while proposing valuable tools to understand cell mechanical behaviour. This being the case, we propose a combined continuous-tensegrity finite element (FE) model to analyse the mechanical response of a cell and its subcomponents, observing how every part contributes to the overall mechanical behaviour. We modelled both Atomic Force Microscopy (AFM) indentation and micropipette aspiration techniques, as common mechanical tests for cells and elucidated also the role of cell cytoplasm and cytoskeleton in the global cell mechanical response.

Identifiants

pubmed: 35879583
doi: 10.1007/s10439-022-03011-1
pii: 10.1007/s10439-022-03011-1
pmc: PMC9794536
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1911-1922

Subventions

Organisme : Ministero dell'Istruzione, dell'Università e della Ricerca
ID : PRIN20177TTP3S
Organisme : Ministero dell'Istruzione, dell'Università e della Ricerca
ID : PRIN2017HFPKZY
Organisme : Ministero dell'Istruzione, dell'Università e della Ricerca
ID : PRIN20209F3A37

Informations de copyright

© 2022. The Author(s).

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Auteurs

Alessandro Arduino (A)

Department of Civil, Environmental and Architectural Engineering, University of Padova, Padua, Italy.

Sofia Pettenuzzo (S)

Department of Civil, Environmental and Architectural Engineering, University of Padova, Padua, Italy.

Alice Berardo (A)

Department of Civil, Environmental and Architectural Engineering, University of Padova, Padua, Italy. alice.berardo@unipd.it.
Department of Biomedical Sciences, University of Padova, Padua, Italy. alice.berardo@unipd.it.

Valentina A Salomoni (VA)

Department of Management and Engineering, University of Padua, Padua, Italy.

Carmelo Majorana (C)

Department of Civil, Environmental and Architectural Engineering, University of Padova, Padua, Italy.

Emanuele Luigi Carniel (EL)

Department of Industrial Engineering, University of Padova, Padua, Italy.

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