Evidence map›Paper›PMID 31411107›Full record

ArticleAdipocyte2019

Quantitative analyses of adiposity dynamics in zebrafish.

Loes M H Elemans, Iris Pruñonosa Cervera, Susanna E Riley, Rebecca Wafer, Rosalyn Fong, Panna Tandon, James E N Minchin

Open access · goldAbstract read
In one paragraph

Article in Adipocyte, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Wound Healing Insights from Flies and Fish.Cold Spring Harbor perspectives in biology · 2022
    Review
  4. Article
  5. Article
  6. Wild-Type Zebrafish (Animals : an open access journal from MDPI · 2020
    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

7 authors at 1 institution in 1 country.

Loes M H Elemansa Centre for Cardiovascular Science, University of Edinburgh , Edinburgh EH16 4TJ , UK.ORCID 0000-0001-8912-9510
Iris Pruñonosa Cerveraa Centre for Cardiovascular Science, University of Edinburgh , Edinburgh EH16 4TJ , UK.
Susanna E Rileya Centre for Cardiovascular Science, University of Edinburgh , Edinburgh EH16 4TJ , UK.
Rebecca Wafera Centre for Cardiovascular Science, University of Edinburgh , Edinburgh EH16 4TJ , UK.
Rosalyn Fonga Centre for Cardiovascular Science, University of Edinburgh , Edinburgh EH16 4TJ , UK.
Panna Tandona Centre for Cardiovascular Science, University of Edinburgh , Edinburgh EH16 4TJ , UK.ORCID 0000-0002-9115-4173
James E N Minchina Centre for Cardiovascular Science, University of Edinburgh , Edinburgh EH16 4TJ , UK.ORCID 0000-0003-2316-1010
University of Edinburgh · GB

Funding

British Heart FoundationMedical Research Council MR/S025685/1
6 · The paper itself

Abstract

Adipose tissues often exhibit subtle, quantitative differences between individuals, leading to a graded series of adiposity phenotypes at the population level. Robust, quantitative analyses are vital for studying these differences. In this Commentary we highlight two articles from our lab that employ sensitive new methods in zebrafish capable of delineating complex and quantitative adiposity phenotypes. In the first article, we utilized in vivo imaging to systematically quantify zebrafish adipose tissues. We identified 34 regionally distinct zebrafish adipose tissues and developed statistical models to predict the size and variance of each adipose tissue over the course of zebrafish growth. We then employed these models to identify effects of strain and diet on adipose tissue growth. In the second article, we employed deep phenotyping to study complex disease-related adiposity traits. Using this methodology, we identified that adipose tissues have unique capacities to re-deposit lipid following food restriction and re-feeding. These distinct re-deposition potentials led to widespread fat distribution changes following re-feeding. We discuss how these novel findings may provide relevance to health conditions such as anorexia nervosa. Together, the strategies described in these two articles can be used as unbiased and quantitative methods to uncover new relationships between genotype, diet and adiposity.

Indexed as

Adipose TissueAdiposityAnimalsBiomarkersDietModels, BiologicalMolecular ImagingOrgan SizeTissue DistributionZebrafishBiomarkersadipose tissueanimal modelszebrafish

Identifiers

PMID31411107
PMCPMC6768273
OpenAlexW2969176275

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.