Evidence map›Paper›PMID 12851795›Full record

ArticleEuropean biophysics journal : EBJ2003

Modelling the electrophysiological endothelial cell response to bradykinin.

Alexander Schuster, Jean-Louis Bény, Jean-Jacques Meister

Abstract readComparative StudyEvaluation StudyValidation Study
PubMed Publisher
In one paragraph

Article in European biophysics journal : EBJ, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Nitric oxide signaling in the microcirculation.Critical reviews in biomedical engineering · 2011
    Review
  4. Review
  5. Article
  6. Article
  7. Calcium dynamics and signaling in vascular regulation: computational models.Wiley interdisciplinary reviews. Systems biology and medicine
    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

3 authors.

Alexander SchusterCellular Biophysics and Biomechanics Laboratory, Swiss Federal Institute of Technology, 1015, Lausanne, Switzerland. schuster@bioeng.ucsd.edu
Jean-Louis Bény
Jean-Jacques Meister

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of the present study is to construct a biophysical model of the coronary artery endothelial cell response to bradykinin. This model takes into account intracellular Ca2+ dynamics, membrane potential, a non-selective cation channel, and two Ca(2+)-dependent K+ channels, as well as intra- and extracellular Ca2+ sources. The model reproduces the experimental data available, and predicts certain quantities which would be hard to obtain experimentally, like the individual K+ channel currents when the membrane potential is allowed to freely evolve, the implication of epoxyeicosatrienoic acids (EETs), and the total K+ released during stimulation. The main results are: (1) the large-conductance K+ channel participates only very little in the overall response; (2) EETs are required in order to explain the experimental current-potential relationships, but are not an essential component of the bradykinin response; and (3) the total K+ released during stimulation gives rise to a concentration in the intercellular space which is of millimolar order. This concentration change is compatible with the hypothesis that K+ contributes to the endothelium-derived hyperpolarizing factor phenomenon.

Indexed as

Models, CardiovascularAnimalsArteriesBradykininCalciumCalcium SignalingCoronary VesselsElectrophysiologyEndothelium, VascularIon Channel GatingMembrane PotentialsPotassium ChannelsReproducibility of ResultsSensitivity and SpecificitySwineBradykininCalciumPotassium Channels

Identifiers

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.