Evidence map›Paper›PMID 35879583›Full record

ArticleAnnals of biomedical engineering2022

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

Alessandro Arduino, Sofia Pettenuzzo, Alice Berardo, Valentina A Salomoni, Carmelo Majorana, Emanuele Luigi Carniel

Open access · hybridAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Alessandro ArduinoDepartment of Civil, Environmental and Architectural Engineering, University of Padova, Padua, Italy.
Sofia PettenuzzoDepartment of Civil, Environmental and Architectural Engineering, University of Padova, Padua, Italy.
Alice BerardoDepartment of Civil, Environmental and Architectural Engineering, University of Padova, Padua, Italy. alice.berardo@unipd.it.ORCID http://orcid.org/0000-0002-2346-0507
Valentina A SalomoniDepartment of Management and Engineering, University of Padua, Padua, Italy.
Carmelo MajoranaDepartment of Civil, Environmental and Architectural Engineering, University of Padova, Padua, Italy.
Emanuele Luigi CarnielDepartment of Industrial Engineering, University of Padova, Padua, Italy.
University of Padua · IT

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca PRIN20177TTP3SMinistero dell'Istruzione, dell'Università e della Ricerca PRIN2017HFPKZYMinistero dell'Istruzione, dell'Università e della Ricerca PRIN20209F3A37
6 · The paper itself

Abstract

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.

Indexed as

ChondrocytesCytoskeletonBiomechanical PhenomenaComputer SimulationMicroscopy, Atomic ForceModels, BiologicalStress, MechanicalAFM indentationCell mechanicsFinite element modelMicropipette aspirationTensegrity

Identifiers

PMID35879583
PMCPMC9794536
OpenAlexW4287838035

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.