Evidence map›Paper›PMID 26837808›Full record

ArticleAmerican journal of physiology. Endocrinology and metabolism2016

Paracrine regulation of glucagon secretion: the β/α/δ model.

Margaret Watts, Joon Ha, Ofer Kimchi, Arthur Sherman

Open access · bronzeAbstract read
In one paragraph

Article in American journal of physiology. Endocrinology and metabolism, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 51 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. The Role of GJD2(Cx36) in Refractive Error Development.Investigative ophthalmology & visual science · 2022
    Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. The Glucagon-Like Adipokinetic Hormone inFrontiers in physiology · 2021
    Review
  18. Review
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

Margaret WattsLaboratory of Biological Modeling, National Institutes of Health, Bethesda, Maryland; and.
Joon HaLaboratory of Biological Modeling, National Institutes of Health, Bethesda, Maryland; and.
Ofer KimchiDepartment of Physics, Princeton University, Princeton, New Jersey.
Arthur ShermanLaboratory of Biological Modeling, National Institutes of Health, Bethesda, Maryland; and ArthurS@niddk.nih.gov.
National Institutes of Health · USPrinceton University · US

Funding

Stimulus secretion coupling in pancreatic beta-cellsZIADK013027 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI SHERMAN, ARTHUR · 2009 to 2025
$3.6M
6 · The paper itself

Abstract

The regulation of glucagon secretion in the pancreatic α-cell is not well understood. It has been proposed that glucose suppresses glucagon secretion either directly through an intrinsic mechanism within the α-cell or indirectly through an extrinsic mechanism. Previously, we described a mathematical model for isolated pancreatic α-cells and used it to investigate possible intrinsic mechanisms of regulating glucagon secretion. We demonstrated that glucose can suppress glucagon secretion through both ATP-dependent potassium channels (K

Indexed as

CalciumGlucagonGlucagon-Secreting CellsGlucoseHumansInsulinInsulin-Secreting CellsModels, TheoreticalParacrine CommunicationSomatostatinSomatostatin-Secreting CellsCalciumGlucagonGlucoseInsulinSomatostatinglucagoninsulinisletpancreatic α-cellpancreatic δ-cellsomatostatin

Identifiers

PMID26837808
PMCPMC4835945
OpenAlexW2300512885

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.