Evidence map›Paper›PMID 34173132›Full record

ArticleBiomechanics and modeling in mechanobiology2021

A computational framework for modeling cell-matrix interactions in soft biological tissues.

Jonas F Eichinger, Maximilian J Grill, Iman Davoodi Kermani, Roland C Aydin, Wolfgang A Wall, Jay D Humphrey, Christian J Cyron

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. A quadriphasic mechanical model of the human dermis.Biomechanics and modeling in mechanobiology · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. From Time to Timer in Wound Healing Through the Regeneration.Advances in experimental medicine and biology · 2024
    Review
  14. Article
  15. Article
  16. Multiscale models of integrins and cellular adhesions.Current opinion in structural biology · 2023
    Review
  17. Organoid Cultures In Silico: Tools or Toys?Bioengineering (Basel, Switzerland) · 2022
    Review
  18. Review
  19. Article
  20. Mechanical homeostasis in tissue equivalents: a review.Biomechanics and modeling in mechanobiology · 2021
    Review
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

7 authors.

Jonas F EichingerInstitute for Computational Mechanics, Technical University of Munich, Garching, 85748, Germany.ORCID https://orcid.org/0000-0002-1360-2137
Maximilian J GrillInstitute for Computational Mechanics, Technical University of Munich, Garching, 85748, Germany.ORCID https://orcid.org/0000-0003-1680-0259
Iman Davoodi KermaniInstitute for Computational Mechanics, Technical University of Munich, Garching, 85748, Germany.
Roland C AydinInstitute of Material Systems Modeling, Helmholtz-Zentrum Hereon, Geesthacht, 21502, Germany.ORCID https://orcid.org/0000-0002-9542-9146
Wolfgang A WallInstitute for Computational Mechanics, Technical University of Munich, Garching, 85748, Germany.ORCID https://orcid.org/0000-0001-7419-3384
Jay D HumphreyDepartment of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA.ORCID https://orcid.org/0000-0003-1011-2025
Christian J CyronInstitute for Continuum and Materials Mechanics, Hamburg University of Technology, Hamburg, 21073, Germany. christian.cyron@tuhh.edu.ORCID http://orcid.org/0000-0001-8264-0885

Funding

Deutsche Forschungsgemeinschaft 257981274Deutsche Forschungsgemeinschaft 386349077
6 · The paper itself

Abstract

Living soft tissues appear to promote the development and maintenance of a preferred mechanical state within a defined tolerance around a so-called set point. This phenomenon is often referred to as mechanical homeostasis. In contradiction to the prominent role of mechanical homeostasis in various (patho)physiological processes, its underlying micromechanical mechanisms acting on the level of individual cells and fibers remain poorly understood, especially how these mechanisms on the microscale lead to what we macroscopically call mechanical homeostasis. Here, we present a novel computational framework based on the finite element method that is constructed bottom up, that is, it models key mechanobiological mechanisms such as actin cytoskeleton contraction and molecular clutch behavior of individual cells interacting with a reconstructed three-dimensional extracellular fiber matrix. The framework reproduces many experimental observations regarding mechanical homeostasis on short time scales (hours), in which the deposition and degradation of extracellular matrix can largely be neglected. This model can serve as a systematic tool for future in silico studies of the origin of the numerous still unexplained experimental observations about mechanical homeostasis.

Indexed as

Actin CytoskeletonBiomechanical PhenomenaCell CommunicationCollagenComputer SimulationCytoskeletonElastinExtracellular MatrixFinite Element AnalysisHomeostasisHumansIntegrinsModels, BiologicalProgramming LanguagesStochastic ProcessesStress, MechanicalCollagenElastinIntegrinscell–extracellular matrix interactiondiscrete fiber modelfinite element methodgrowth and remodelingmechanical homeostasis

Identifiers

PMID34173132
PMCPMC8450219

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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.