Evidence map›Paper›PMID 29636511›Full record

ArticleScientific reports2018

Regimes of Flow over Complex Structures of Endothelial Glycocalyx: A Molecular Dynamics Simulation Study.

Xi Zhuo Jiang, Muye Feng, Yiannis Ventikos, Kai H Luo

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Role of blood flow in endothelial functionality: a review.Frontiers in cell and developmental biology · 2023
    Review
  3. Article
  4. Review
  5. Article
  6. 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.

Xi Zhuo JiangDepartment of Mechanical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.
Muye FengDepartment of Mechanical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.
Yiannis VentikosDepartment of Mechanical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.
Kai H LuoDepartment of Mechanical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK. k.luo@ucl.ac.uk.ORCID 0000-0003-4023-7259

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flow patterns on surfaces grafted with complex structures play a pivotal role in many engineering and biomedical applications. In this research, large-scale molecular dynamics (MD) simulations are conducted to study the flow over complex surface structures of an endothelial glycocalyx layer. A detailed structure of glycocalyx has been adopted and the flow/glycocalyx system comprises about 5,800,000 atoms. Four cases involving varying external forces and modified glycocalyx configurations are constructed to reveal intricate fluid behaviour. Flow profiles including temporal evolutions and spatial distributions of velocity are illustrated. Moreover, streamline length and vorticity distributions under the four scenarios are compared and discussed to elucidate the effects of external forces and glycocalyx configurations on flow patterns. Results show that sugar chain configurations affect streamline length distributions but their impact on vorticity distributions is statistically insignificant, whilst the influence of the external forces on both streamline length and vorticity distributions are trivial. Finally, a regime diagram for flow over complex surface structures is proposed to categorise flow patterns.

Indexed as

Membrane FluidityMolecular Dynamics SimulationMolecular StructureAlgorithmsBiological EvolutionEndothelial CellsGlycocalyxLipid BilayersModels, TheoreticalLipid Bilayers

Identifiers

PMID29636511
PMCPMC5893603

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.