Evidence map›Paper›PMID 22007175›Full record

ArticleFrontiers in physiology2011

Computational modeling of interacting VEGF and soluble VEGF receptor concentration gradients.

Yasmin L Hashambhoy, John C Chappell, Shayn M Peirce, Victoria L Bautch, Feilim Mac Gabhann

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 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

26 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Agent-based models of inflammation in translational systems biology: A decade later.Wiley interdisciplinary reviews. Systems biology and medicine · 2019
    Review
  5. Article
  6. Can VEGFC Form Turing Patterns in the Zebrafish Embryo?Bulletin of mathematical biology · 2019
    Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
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  14. Article
  15. Agent-based model of angiogenesis simulates capillary sprout initiation in multicellular networks.Integrative biology : quantitative biosciences from nano to macro · 2015
    Article
  16. Systems biology of the microvasculature.Integrative biology : quantitative biosciences from nano to macro · 2015
    Review
  17. Review
  18. Article
  19. A systems biology view of blood vessel growth and remodelling.Journal of cellular and molecular medicine · 2014
    Review
  20. 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

5 authors at 3 institutions in 1 country.

Yasmin L HashambhoyDepartment of Biomedical Engineering, Johns Hopkins University Baltimore, MD, USA.
John C Chappell
Shayn M Peirce
Victoria L Bautch
Feilim Mac Gabhann
Johns Hopkins University · USUniversity of North Carolina at Chapel Hill · USUniversity of Virginia · US

Funding

MOLECULAR CONTROL OF ANGIOGENESISR01HL043174 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BAUTCH, VICTORIA L · 1989 to 2017
$4.7M
NHLBI NIH HHS R01 HL043174
6 · The paper itself

Abstract

Experimental data indicates that soluble vascular endothelial growth factor (VEGF) receptor 1 (sFlt-1) modulates the guidance cues provided to sprouting blood vessels by VEGF-A. To better delineate the role of sFlt-1 in VEGF signaling, we have developed an experimentally based computational model. This model describes dynamic spatial transport of VEGF, and its binding to receptors Flt-1 and Flk-1, in a mouse embryonic stem cell model of vessel morphogenesis. The model represents the local environment of a single blood vessel. Our simulations predict that blood vessel secretion of sFlt-1 and increased local sFlt-1 sequestration of VEGF results in decreased VEGF-Flk-1 levels on the sprout surface. In addition, the model predicts that sFlt-1 secretion increases the relative gradient of VEGF-Flk-1 along the sprout surface, which could alter endothelial cell perception of directionality cues. We also show that the proximity of neighboring sprouts may alter VEGF gradients, VEGF receptor binding, and the directionality of sprout growth. As sprout distances decrease, the probability that the sprouts will move in divergent directions increases. This model is a useful tool for determining how local sFlt-1 and VEGF gradients contribute to the spatial distribution of VEGF receptor binding, and can be used in conjunction with experimental data to explore how multi-cellular interactions and relationships between local growth factor gradients drive angiogenesis.

Indexed as

angiogenesiscapillary sproutingcomputational modelmathematical modelsFlt-1vascular developmentVEGF

Identifiers

PMID22007175
PMCPMC3185289
OpenAlexW2147221210

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.