Evidence map›Paper›PMID 21809144›Full record

ArticleAnnals of biomedical engineering2011

Ensuring congruency in multiscale modeling: towards linking agent based and continuum biomechanical models of arterial adaptation.

Heather N Hayenga, Bryan C Thorne, Shayn M Peirce, Jay D Humphrey

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Tissue engineering. Part C, Methods · 2019
    Article
  10. Mechanobiological model of arterial growth and remodeling.Biomechanics and modeling in mechanobiology · 2018
    Article
  11. Article
  12. An engineering design approach to systems biology.Integrative biology : quantitative biosciences from nano to macro · 2017
    Review
  13. Bio-Chemo-Mechanical Models of Vascular Mechanics.Annals of biomedical engineering · 2015
    Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Multiscale computational models of complex biological systems.Annual review of biomedical engineering · 2013
    Review
  19. Multiscale models of cell signaling.Annals of biomedical engineering · 2012
    Review
  20. Extracellular matrix and the mechanics of large artery development.Biomechanics and modeling in mechanobiology · 2012
    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

4 authors.

Heather N HayengaDepartment of Biomedical Engineering, Texas A&M University, College Station, USA.
Bryan C Thorne
Shayn M Peirce
Jay D Humphrey

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007267 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI GARCIA-BLANCO, MARIANO A. · 1985 to 2024
$13.4M
Biomechanical Simulation of Evolving Aortic Aneurysms for Designing InterventionR01HL086418 · NHLBI · YALE UNIVERSITY · PI HUMPHREY, JAY D. · 2008 to 2017
$3.8M
Arteriole/Venule Polarity in Adult MicrovasculatureR01HL082838 · NHLBI · UNIVERSITY OF VIRGINIA · PI PEIRCE-COTTLER, SHAYN · 2007 to 2011
$1.9M
NHLBI NIH HHS HL-082838NHLBI NIH HHS HL-086418NHLBI NIH HHS R01 HL082838NHLBI NIH HHS R01 HL086418
6 · The paper itself

Abstract

There is a need to develop multiscale models of vascular adaptations to understand tissue-level manifestations of cellular level mechanisms. Continuum-based biomechanical models are well suited for relating blood pressures and flows to stress-mediated changes in geometry and properties, but less so for describing underlying mechanobiological processes. Discrete stochastic agent-based models are well suited for representing biological processes at a cellular level, but not for describing tissue-level mechanical changes. We present here a conceptually new approach to facilitate the coupling of continuum and agent-based models. Because of ubiquitous limitations in both the tissue- and cell-level data from which one derives constitutive relations for continuum models and rule-sets for agent-based models, we suggest that model verification should enforce congruency across scales. That is, multiscale model parameters initially determined from data sets representing different scales should be refined, when possible, to ensure that common outputs are consistent. Potential advantages of this approach are illustrated by comparing simulated aortic responses to a sustained increase in blood pressure predicted by continuum and agent-based models both before and after instituting a genetic algorithm to refine 16 objectively bounded model parameters. We show that congruency-based parameter refinement not only yielded increased consistency across scales, it also yielded predictions that are closer to in vivo observations.

Indexed as

Models, CardiovascularAlgorithmsAnimalsArteriesBiomechanical PhenomenaBlood PressureCell Physiological PhenomenaComputer SimulationMiceMuscle DevelopmentMuscle, Smooth, Vascular

Identifiers

PMID21809144
PMCPMC3207323

What OpenQuestion holds

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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.