Evidence map›Paper›PMID 25079871›Full record

ArticleJournal of the Royal Society, Interface2014

Computer simulations reveal complex distribution of haemodynamic forces in a mouse retina model of angiogenesis.

Miguel O Bernabeu, Martin L Jones, Jens H Nielsen, Timm Krüger, Rupert W Nash, Derek Groen, Sebastian Schmieschek, James Hetherington, Holger Gerhardt, Claudio A Franco and 1 more

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

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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

11 authors.

Miguel O BernabeuCoMPLEX, University College London, Physics Building, Gower St., London WC1E 6BT, UK Centre for Computational Science, Department of Chemistry, University College London, 20 Gordon St., London WC1H 0AJ, UK miguel.bernabeu@ucl.ac.uk.
Martin L JonesVascular Biology Laboratory, London Research Institute, Cancer Research UK, Lincoln's Inn Laboratories, 44 Lincoln's Inn Fields, London WC2A 3LY, UK.
Jens H NielsenResearch Software Development Team, Research Computing and Facilitating Services, University College London, Podium Building-1st Floor, Gower St., London WC1E 6BT, UK.
Timm KrügerCentre for Computational Science, Department of Chemistry, University College London, 20 Gordon St., London WC1H 0AJ, UK Institute for Materials and Processes, School of Engineering, University of Edinburgh, King's Buildings, Mayfield Road, Edinburgh EH9 3JL, UK.
Rupert W NashCentre for Computational Science, Department of Chemistry, University College London, 20 Gordon St., London WC1H 0AJ, UK.
Derek GroenCentre for Computational Science, Department of Chemistry, University College London, 20 Gordon St., London WC1H 0AJ, UK.
Sebastian SchmieschekCentre for Computational Science, Department of Chemistry, University College London, 20 Gordon St., London WC1H 0AJ, UK.
James HetheringtonResearch Software Development Team, Research Computing and Facilitating Services, University College London, Podium Building-1st Floor, Gower St., London WC1E 6BT, UK.
Holger GerhardtVascular Biology Laboratory, London Research Institute, Cancer Research UK, Lincoln's Inn Laboratories, 44 Lincoln's Inn Fields, London WC2A 3LY, UK.
Claudio A FrancoVascular Biology Laboratory, London Research Institute, Cancer Research UK, Lincoln's Inn Laboratories, 44 Lincoln's Inn Fields, London WC2A 3LY, UK Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa 1649-028, Portugal.
Peter V CoveneyCentre for Computational Science, Department of Chemistry, University College London, 20 Gordon St., London WC1H 0AJ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is currently limited understanding of the role played by haemodynamic forces on the processes governing vascular development. One of many obstacles to be overcome is being able to measure those forces, at the required resolution level, on vessels only a few micrometres thick. In this paper, we present an in silico method for the computation of the haemodynamic forces experienced by murine retinal vasculature (a widely used vascular development animal model) beyond what is measurable experimentally. Our results show that it is possible to reconstruct high-resolution three-dimensional geometrical models directly from samples of retinal vasculature and that the lattice-Boltzmann algorithm can be used to obtain accurate estimates of the haemodynamics in these domains. We generate flow models from samples obtained at postnatal days (P) 5 and 6. Our simulations show important differences between the flow patterns recovered in both cases, including observations of regression occurring in areas where wall shear stress (WSS) gradients exist. We propose two possible mechanisms to account for the observed increase in velocity and WSS between P5 and P6: (i) the measured reduction in typical vessel diameter between both time points and (ii) the reduction in network density triggered by the pruning process. The methodology developed herein is applicable to other biomedical domains where microvasculature can be imaged but experimental flow measurements are unavailable or difficult to obtain.

Indexed as

Models, BiologicalAnimalsBiomechanical PhenomenaComputer SimulationHemodynamicsImage Processing, Computer-AssistedMiceMicroscopy, ConfocalNeovascularization, PhysiologicRetinaangiogenesisblood flowlattice-Boltzmannmouseretinashear stress

Identifiers

PMID25079871
PMCPMC4233731

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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.