Evidence map›Paper›PMID 40473719›Full record

ArticleScientific reports2025

Cell spheroid micromechanics under large deformations.

Dimosthenis Giannopoulos, Maja Schlittler, Marzia De Bortoli, Raffaele Coppini, Mina Petrovic, Elisabetta Cerbai, Gerhard J Schütz, Philipp J Thurner, Alessandra Rossini, Orestis G Andriotis

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Dimosthenis GiannopoulosInstitute of Lightweight Design and Structural Biomechanics, TU Wien, Vienna, Austria.
Maja SchlittlerInstitute for Biomedicine, Eurac Research, Bolzano, Italy.
Marzia De BortoliInstitute for Biomedicine, Eurac Research, Bolzano, Italy.
Raffaele CoppiniDepartment of Neurosciences, Psychology, Drug Research & Child Health, University of Florence, Florence, Italy.
Mina PetrovicInstitute of Materials Science and Technology, TU Wien, Vienna, Austria.
Elisabetta CerbaiDepartment of Neurosciences, Psychology, Drug Research & Child Health, University of Florence, Florence, Italy.
Gerhard J SchützInstitute of Applied Physics, TU Wien, Vienna, Austria.
Philipp J ThurnerInstitute of Lightweight Design and Structural Biomechanics, TU Wien, Vienna, Austria.
Alessandra RossiniInstitute for Biomedicine, Eurac Research, Bolzano, Italy.
Orestis G AndriotisInstitute of Lightweight Design and Structural Biomechanics, TU Wien, Vienna, Austria. oandriot@ilsb.tuwien.ac.at.

Funding

H2020 Marie Skłodowska-Curie Actions 101034277International Mobility of Researchers 18021/2020
6 · The paper itself

Abstract

Mechanically characterizing biological tissues at the microscale helps to better link microscale biomechanics to mechanobiology but also contributes to the mechanistic understanding of disease mechanobiology. Cell spheroids (CSs) are state-of-the-art in vitro three-dimensional cell cultures allowing for the synthesis of microtissue models into sphere-like geometry. Such a geometry is attractive for micromechanical assessment via parallel-plate compression, since only minimal and nondestructive sample preparation is required to conduct such tests. However, appropriate data analysis and interpretation methods are mostly lacking. Current approaches, relying on Hertzian theory and its modifications, are inadequate for capturing large deformations observed in CSs upon compression. Here, we utilized the extended Tatara model, incorporating hyperelasticity and nonlinear boundary effects, to investigate CS mechanics. To evaluate the effectiveness of the model, we compared results to Hertz, Ding, and simple Tatara models. The extended Tatara model demonstrated superior accuracy, enabling mechanical analysis of CSs under compression of up to 50% strain. Estimating the apparent Poisson's ratio via image segmentation and shape analysis helped refine the calculated apparent modulus. This work establishes a robust analytical framework that will, in the future, help advance our understanding of cardiac fibrosis progression and support the development of therapeutic strategies using patient-derived CSs as test models.

Indexed as

Spheroids, CellularBiomechanical PhenomenaHumansModels, BiologicalStress, MechanicalApparent modulusApparent Poisson’s ratioCell spheroidsNonlinear mechanicsParallel-plate compression

Identifiers

PMID40473719
PMCPMC12141573

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.