Evidence map›Paper›PMID 21463529›Full record

ArticleTheoretical biology & medical modelling2011

Module-based multiscale simulation of angiogenesis in skeletal muscle.

Gang Liu, Amina A Qutub, Prakash Vempati, Feilim Mac Gabhann, Aleksander S Popel

Abstract read
In one paragraph

Article in Theoretical biology & medical modelling, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Sex differences in cancer mechanisms.Biology of sex differences · 2020
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Image-based modelling of skeletal muscle oxygenation.Journal of the Royal Society, Interface · 2017
    Review
  16. Article
  17. Article
  18. Cells as strain-cued automata.Journal of the mechanics and physics of solids · 2016
    Article
  19. Systems biology of the microvasculature.Integrative biology : quantitative biosciences from nano to macro · 2015
    Review
  20. 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

5 authors.

Gang LiuSystems Biology Laboratory, Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA. gangliu@jhmi.edu
Amina A Qutub
Prakash Vempati
Feilim Mac Gabhann
Aleksander S Popel

Funding

Systems Biology of Angiogenesis in Peripheral Arterial DiseaseR01HL101200 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POPEL, ALEKSANDER S. · 2010 to 2022
$10.7M
Predictive experiment-based multiscale models of the tumor immune microenvironment and immunotherapy in breast cancerR01CA138264 · NCI · JOHNS HOPKINS UNIVERSITY · PI POPEL, ALEKSANDER S. · 2009 to 2023
$8.1M
Quantitative Analysis of Angiogenesis in Skeletal MuscleR01HL079653 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POPEL, ALEKSANDER S. · 2005 to 2009
$1.5M
Systems Biology of Angiogenesis: Molecules to therapyR33HL087351 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POPEL, ALEKSANDER S. · 2006 to 2008
$1.3M
Endothelial cell decisions integrate soluble and matrix-bound VEGF gradientsR00HL093219 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI MAC GABHANN, FEILIM C · 2009 to 2011
$746k
NCI NIH HHS R01 CA138264NHLBI NIH HHS R00 HL093219NHLBI NIH HHS R01 HL079653NHLBI NIH HHS R01 HL101200NHLBI NIH HHS R33 HL087351
6 · The paper itself

Abstract

backgroundMathematical modeling of angiogenesis has been gaining momentum as a means to shed new light on the biological complexity underlying blood vessel growth. A variety of computational models have been developed, each focusing on different aspects of the angiogenesis process and occurring at different biological scales, ranging from the molecular to the tissue levels. Integration of models at different scales is a challenging and currently unsolved problem.

resultsWe present an object-oriented module-based computational integration strategy to build a multiscale model of angiogenesis that links currently available models. As an example case, we use this approach to integrate modules representing microvascular blood flow, oxygen transport, vascular endothelial growth factor transport and endothelial cell behavior (sensing, migration and proliferation). Modeling methodologies in these modules include algebraic equations, partial differential equations and agent-based models with complex logical rules. We apply this integrated model to simulate exercise-induced angiogenesis in skeletal muscle. The simulation results compare capillary growth patterns between different exercise conditions for a single bout of exercise. Results demonstrate how the computational infrastructure can effectively integrate multiple modules by coordinating their connectivity and data exchange. Model parameterization offers simulation flexibility and a platform for performing sensitivity analysis.

conclusionsThis systems biology strategy can be applied to larger scale integration of computational models of angiogenesis in skeletal muscle, or other complex processes in other tissues under physiological and pathological conditions.

Indexed as

Computer SimulationNeovascularization, PhysiologicAnimalsCapillariesEndothelial CellsExerciseHumansModels, BiologicalMuscle, SkeletalOxygenRegional Blood FlowTime FactorsVascular Endothelial Growth Factor AOxygenVascular Endothelial Growth Factor A

Identifiers

PMID21463529
PMCPMC3079676

What OpenQuestion holds

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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.