Evidence map›Paper›PMID 19383446›Full record

ArticleBiophysical journal2009

Adhesive dynamics simulation of G-protein-mediated chemokine-activated neutrophil adhesion.

Kelly E Caputo, Daniel A Hammer

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Adhesive dynamics.Journal of biomechanical engineering · 2014
    Review
  4. Article
  5. Multiscale computational models of complex biological systems.Annual review of biomedical engineering · 2013
    Review
  6. Article
  7. Article
  8. Article
  9. 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

2 authors at 1 institution in 1 country.

Kelly E CaputoDepartment of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Daniel A Hammer
University of Pennsylvania · US

Funding

VASCULAR RELATIONS OF BLOOD CELLS AND PROTEINSP01HL018208 · NHLBI · UNIVERSITY OF ROCHESTER · PI WAUGH, RICHARD E · 1985 to 2014
$24.7M
NHLBI NIH HHS HL18208NHLBI NIH HHS P01 HL018208
6 · The paper itself

Abstract

To reach sites of inflammation, a blood-borne neutrophil first rolls over the vessel wall, becoming firmly adherent on activation, and then transmigrates through the endothelium. In this study, we simulate the transition to firm adhesion via chemokine-induced integrin activation. To recreate the transition from rolling to firm adhesion, we use an integrated signaling adhesive dynamics simulation that includes selectin, integrin, and chemokine interactions between the cell and an adhesive substrate. Integrin bonds are of low affinity until activated by chemokine binding to G-protein coupled receptors on the model cell. The signal propagates within the cell through probabilistic diffusion and reaction of the signaling elements to induce the high-affinity integrins required for firm adhesion. This model showed that integrins become progressively active as cells roll and interact with chemokines, leading to a slight slowing before firm adhesion on a timescale similar to that observed in experiments. Increasing the density of chemokine resulted in decreases in the rolling time before stopping, consistent with experimental observations. However, a limit is reached where further increases in chemokine density do not increase adhesion. We found that the timescale for integrin activation correlated with the time to stop. Further, altering parameters within the intracellular signaling cascade that changed the speed of integrin activation, such as effector activation and dissociation rates, correspondingly affected the time to firm adhesion. For all conditions tested, the number of active integrin bonds at the point of firm adhesion was relatively constant. The model predicts that the time to stop would be relatively independent of selectin or integrin density, but strongly dependent on the shear rate because higher shear rates limit the intrinsic activation rate of integrins and require more integrins for adhesion.

Indexed as

Cell AdhesionComputer SimulationModels, BiologicalAlgorithmsChemokinesGTP-Binding ProteinsIntegrinsIntercellular Adhesion Molecule-1Interleukin-8Leukocyte RollingLymphocyte Function-Associated Antigen-1Membrane GlycoproteinsMicrovilliNeutrophilsP-SelectinReceptors, Interleukin-8AChemokinesGTP-Binding ProteinsIntegrinsIntercellular Adhesion Molecule-1Interleukin-8Lymphocyte Function-Associated Antigen-1Membrane GlycoproteinsP-SelectinReceptors, Interleukin-8A

Identifiers

PMID19383446
PMCPMC2718305
OpenAlexW1994031619

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.