Evidence map›Paper›PMID 40799311›Full record

ArticleBiology methods & protocols2025

An optimized zebrafish obesogenic test protocol with an artificial intelligence-based analysis software for screening obesogens and anti-obesogens.

Sara Al Kassir, Théo Mercé, Sandra Pedemay, Laure M Bourcier, Magalie Soares, Hélène Le Mentec, Normand Podechard, Anja Knoll-Gellida, Patrick J Babin

Abstract read
In one paragraph

Article in Biology methods & protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Sara Al KassirMRGM, INSERM U1211, University of Bordeaux, Pessac F-33615, France.
Théo MercéMRGM, INSERM U1211, University of Bordeaux, Pessac F-33615, France.
Sandra PedemayMRGM, INSERM U1211, University of Bordeaux, Pessac F-33615, France.
Laure M BourcierMRGM, INSERM U1211, University of Bordeaux, Pessac F-33615, France.
Magalie SoaresMRGM, INSERM U1211, University of Bordeaux, Pessac F-33615, France.
Hélène Le MentecIRSET UMR 5S 1085, INSERM EHESP, University of Rennes, Rennes F-35000, France.
Normand PodechardIRSET UMR 5S 1085, INSERM EHESP, University of Rennes, Rennes F-35000, France.
Anja Knoll-GellidaMRGM, INSERM U1211, University of Bordeaux, Pessac F-33615, France.
Patrick J BabinMRGM, INSERM U1211, University of Bordeaux, Pessac F-33615, France.ORCID https://orcid.org/0000-0002-7411-2297

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is defined as a disease in which abnormal excessive body fat accumulation causes adverse effects on health. One proposed contributing factor to the rise in obesity is the exposure to endocrine disruptors acting as obesogens. Semitransparent zebrafish larvae, with their well-developed white adipose tissue (WAT), offer a unique opportunity for studying the effects of toxicant chemicals and pharmaceuticals on adipocyte dynamics and whole-organism adiposity in a vertebrate model. The work presented here is a detailed optimized zebrafish obesogenic test (ZOT) protocol. The method allows to assess the effects of diet composition, drugs and environmental contaminants, acting as obesogens or anti-obesogens, alone or in combination, on WAT levels in zebrafish larvae. Zootechnical parameter guidelines, including larvae rearing conditions, feeding, and selection of larvae to be enrolled are provided. An optimized procedure for

Indexed as

adipose tissueanti-obesogensendocrine disruptorsobesityobesogenszebrafishZOTZOTAS

Identifiers

PMID40799311
PMCPMC12343004

What OpenQuestion holds

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Registered trials

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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.