Evidence map›Paper›PMID 28184214›Full record

ReviewFrontiers in endocrinology2017

Modeling Pancreatic Endocrine Cell Adaptation and Diabetes in the Zebrafish.

Lisette A Maddison, Wenbiao Chen

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2017. 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
–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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. In Vivo Toxicity Evaluation of Sugar AdulteratedMolecules (Basel, Switzerland) · 2021
    Article
  7. Hypoglycemic Activity of Aqueous Extract of Latex fromPharmaceuticals (Basel, Switzerland) · 2021
    Article
  8. Zebrafish as a Model for Obesity and Diabetes.Frontiers in cell and developmental biology · 2018
    Review
  9. 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.

Lisette A MaddisonDepartment of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine , Nashville, TN , USA.
Wenbiao ChenDepartment of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine , Nashville, TN , USA.

Funding

A system for spatiotemporal gene inactivationR01DK088686 · NIDDK · VANDERBILT UNIVERSITY · PI CHEN, WENBIAO · 2010 to 2014
$1.7M
NIDDK NIH HHS R01 DK088686
6 · The paper itself

Abstract

Glucose homeostasis is an important element of energy balance and is conserved in organisms from fruit fly to mammals. Central to the control of circulating glucose levels in vertebrates are the endocrine cells of the pancreas, particularly the insulin-producing β-cells and the glucagon producing α-cells. A feature of α- and β-cells is their plasticity, an ability to adapt, in function and number as a response to physiological and pathophysiological conditions of increased hormone demand. The molecular mechanisms underlying these adaptive responses that maintain glucose homeostasis are incompletely defined. The zebrafish is an attractive model due to the low cost, high fecundity, and amenability to genetic and compound screens, and mechanisms governing the development of the pancreatic endocrine cells are conserved between zebrafish and mammals. Post development, both β- and α-cells of zebrafish display plasticity as in mammals. Here, we summarize the studies of pancreatic endocrine cell adaptation in zebrafish. We further explore the utility of the zebrafish as a model for diabetes, a relevant topic considering the increase in diabetes in the human population.

Indexed as

glucose homeostasisplasticityregenerationzebrafishα-cellβ-cell

Identifiers

PMID28184214
PMCPMC5266698

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.