Evidence map›Paper›PMID 21720536›Full record

ArticleFrontiers in physiology2011

Toward a multi-scale computational model of arterial adaptation in hypertension: verification of a multi-cell agent based model.

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

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. [Review of studies on the biomechanical modelling of the coupling effect between stent degradation and blood vessel remodeling].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020
    Article
  7. Review
  8. Lateral induction limits the impact of cell connectivity on Notch signaling in arterial walls.International journal for numerical methods in biomedical engineering · 2020
    Article
  9. Article
  10. Mechanosensitivity of Jagged-Notch signaling can induce a switch-type behavior in vascular homeostasis.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  11. Mechanobiological model of arterial growth and remodeling.Biomechanics and modeling in mechanobiology · 2018
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Multiscale computational models of complex biological systems.Annual review of biomedical engineering · 2013
    Review
  17. Article
  18. Extracellular matrix and the mechanics of large artery development.Biomechanics and modeling in mechanobiology · 2012
    Article
  19. Review
  20. Modelling the lymphatic system: challenges and opportunities.Journal of the Royal Society, Interface · 2012
    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

4 authors at 3 institutions in 1 country.

Bryan C ThorneDepartment of Biomedical Engineering, University of Virginia Charlottesville, VA, USA.
Heather N Hayenga
Jay D Humphrey
Shayn M Peirce
University of Virginia · USTexas A&M University · USYale University · US

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 R01 HL082838NHLBI NIH HHS R01 HL086418
6 · The paper itself

Abstract

Agent-based models (ABMs) represent a novel approach to study and simulate complex mechano chemo-biological responses at the cellular level. Such models have been used to simulate a variety of emergent responses in the vasculature, including angiogenesis and vasculogenesis. Although not used previously to study large vessel adaptations, we submit that ABMs will prove equally useful in such studies when combined with well-established continuum models to form multi-scale models of tissue-level phenomena. In order to couple agent-based and continuum models, however, there is a need to ensure that each model faithfully represents the best data available at the relevant scale and that there is consistency between models under baseline conditions. Toward this end, we describe the development and verification of an ABM of endothelial and smooth muscle cell responses to mechanical stimuli in a large artery. A refined rule-set is proposed based on a broad literature search, a new scoring system for assigning confidence in the rules, and a parameter sensitivity study. To illustrate the utility of these new methods for rule selection, as well as the consistency achieved with continuum-level models, we simulate the behavior of a mouse aorta during homeostasis and in response to both transient and sustained increases in pressure. The simulated responses depend on the altered cellular production of seven key mitogenic, synthetic, and proteolytic biomolecules, which in turn control the turnover of intramural cells and extracellular matrix. These events are responsible for gross changes in vessel wall morphology. This new ABM is shown to be appropriately stable under homeostatic conditions, insensitive to transient elevations in blood pressure, and responsive to increased intramural wall stress in hypertension.

Indexed as

agent-based modelingconstrained mixture modelinghypertensionmulti-scale modelingvascular remodeling

Identifiers

PMID21720536
PMCPMC3118494
OpenAlexW2110937552

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.