Evidence map›Paper›PMID 20885774›Full record

ArticleHFSP journal2010

A mathematical model of β-cells in an islet of Langerhans sensing a glucose gradient.

Michael Meyer-Hermann, Richard K P Benninger

Open access · bronzeAbstract read
In one paragraph

Article in HFSP journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Functions and roles of proteins: diabetes as a paradigm.Progress in biophysics and molecular biology · 2014
    Review
  8. 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 2 institutions in 2 countries.

Michael Meyer-Hermann
Richard K P Benninger
Frankfurt Institute for Advanced Studies · DEVanderbilt University · US

Funding

DYNAMICS OF PANCREATIC ISLET FUNCTIONR01DK053434 · NIDDK · VANDERBILT UNIVERSITY · PI PISTON, DAVID W · 1998 to 2010
$3.1M
Multi-cellular Interactions and Dynamics underlying Insulin SecretionK99DK085145 · NIDDK · VANDERBILT UNIVERSITY · PI BENNINGER, RICHARD KP · 2009 to 2010
$179k
NIDDK NIH HHS K99 DK085145NIDDK NIH HHS R01 DK053434
6 · The paper itself

Abstract

Pancreatic β-cells release insulin in response to increased glucose levels. Compared to isolated β-cells, β-cells embedded within the islets of Langerhans network exhibit a coordinated and greater insulin secretion response to glucose. This coordinated activity is considered to rely on gap-junctions. We investigated the β-cell electrophysiology and the calcium dynamics in islets in response to glucose gradients. While at constant glucose the network of β-cells fires in a correlated fashion, a glucose gradient induces a sharp division into an active and an inactive part. We hypothesized that this sharp transition is mediated by the specific properties of the gap-junctions. We used a mathematical model of the β-cell electrophysiology in islets to discuss possible origins of this sharp transition in electrical activity. In silico, gap-junctions were required for such a transition. However, the small width of transition was only found when a stochastic variability of the expression of key transmembrane proteins, such as the ATP-dependent potassium channel, was included. The agreement with experimental data was further improved by assuming a delay of gap-junction currents, which points to a role of spatial constraints in the β-cell. This result clearly demonstrates the power of mathematical modeling in disentangling causal relationships in complex systems.

Identifiers

PMID20885774
PMCPMC2931298
OpenAlexW2083190621

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.