Evidence map›Paper›PMID 31485777›Full record

ArticleJournal of mathematical biology2019

A stochastic model for cell adhesion to the vascular wall.

Christèle Etchegaray, Nicolas Meunier

Abstract read
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Article in Journal of mathematical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Christèle EtchegarayINRIA Bordeaux-Sud-Ouest, Univ. Bordeaux, IMB, CNRS UMR 5251, F-33400, Talence, France.
Nicolas MeunierLaMME, CNRS UMR 8071, Université Évry Val d'Essonne, 23 Boulevard de France, 91 037, Évry Cedex, France. nicolas.meunier@univ-evry.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell dynamics in the vicinity of the vascular wall involves several factors of mechanical or biochemical origins. It is driven by the competition between the drag force of the blood flow and the resistive force generated by the bonds created between the circulating cell and the endothelial wall. Here, we propose a minimal mathematical model for the adhesive interaction between a circulating cell and the blood vessel wall in shear flow when the cell shape is neglected. The bond dynamics in cell adhesion is modeled as a nonlinear Markovian Jump process that takes into account the growth of adhesion complexes. Performing scaling limits in the spirit of Joffe and Metivier (Adv Appl Probab 18(1):20, 1986), Ethier and Kurtz (Markov processes: characterization and convergence, Wiley, New York, 2009), we obtain deterministic and stochastic continuous models, whose analysis allow to identify a threshold shear velocity associated with the transition from cell rolling and firm adhesion. We also give an estimation of the mean stopping time of the cell resulting from this dynamics. We believe these results can have strong implications for the understanding of major biological phenomena such as cell immunity and metastatic development.

Indexed as

Models, CardiovascularAnimalsBiomechanical PhenomenaBlood Flow VelocityBlood VesselsCell AdhesionComputer SimulationEndothelium, VascularHemodynamicsHumansLeukocytesLinear ModelsMarkov ChainsMathematical ConceptsNonlinear DynamicsStochastic ProcessesAtherosclerosisCell adhesionImmune responseMetastatic developmentStochastic process

Identifiers

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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.