Evidence map›Paper›PMID 35829977›Full record

ArticleBiomechanics and modeling in mechanobiology2022

Anisotropy profoundly alters stress fields within contractile cells and cell aggregates.

Habibeh Ashouri Choshali, Kristen L Billiar, Nima Rahbar

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Habibeh Ashouri ChoshaliDepartment of Civil and Environmental Engineering, Worcester Polytechnic Institute, 100 Institute Rd, Worcester, MA, 01609, USA.
Kristen L BilliarDepartment of Biomedical Engineering, Worcester Polytechnic Institute, 100 Institute Rd, Worcester, MA, 01609, USA.
Nima RahbarDepartment of Civil and Environmental Engineering, Worcester Polytechnic Institute, 100 Institute Rd, Worcester, MA, 01609, USA. nrahbar@wpi.edu.ORCID http://orcid.org/0000-0003-0159-0025

Funding

Regulation of valvular interstitial cell fate: Role of boundary stiffnessR15HL087257 · NHLBI · WORCESTER POLYTECHNIC INSTITUTE · PI BILLIAR, KRISTEN L · 2009 to 2017
$681k
American Heart Association-American Stroke Association 20AIREA35120448NHLBI NIH HHS R15 HL087257NIH HHS 2R15HL087257-02A1
6 · The paper itself

Abstract

Many biological phenomena such as cell proliferation and death are correlated with stress fields within cells. Stress fields are quantified using computational methods which rely on fundamental assumptions about local mechanical properties. Most existing methods such as Monolayer Stress Microscopy assume isotropic properties, yet experimental observations strongly suggest anisotropy. We first model anisotropy in circular cells analytically using Eshelby's inclusion method. Our solution reveals that uniform anisotropy cannot exist in cells due to the occurrence of substantial stress concentration in the central region. A more realistic non-uniform anisotropy model is then introduced based on experimental observations and implemented numerically which interestingly clears out stress concentration. Stresses within the entire aggregate also drastically change compared to the isotropic case, resulting in better agreement with observed biomarkers. We provide a physics-based mechanism to explain the low alignment of stress fibers in the center of cells, which might explain certain biological phenomena e.g., existence of disrupted rounded cells, and higher apoptosis rate at the center of circular aggregates.

Indexed as

Stress FibersAnisotropyStress, MechanicalAnisotropic contractilityCircular constrained cellsMechanical stressStress-biomarker relations

Identifiers

PMID35829977
PMCPMC10187583

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Registered trials

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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.