Evidence mapPaperPMID 39218795Full record

ReviewFEBS open bio2024

Metabolic disrupting chemicals in the intestine: the need for biologically relevant models: Zebrafish: what can we learn from this small environment-sensitive fish?

Chedi Erradhouani, Sylvie Bortoli, Selim Aït-Aïssa, Xavier Coumoul, François Brion

Abstract readReview
In one paragraph

Review in FEBS open bio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

5 authors.

Chedi ErradhouaniEcotoxicologie des Substances et des Milieux, INERIS, Verneuil-en-Halatte, France.ORCID https://orcid.org/0009-0007-2261-4352
Sylvie BortoliUniversité Paris Cité, France.
Selim Aït-AïssaEcotoxicologie des Substances et des Milieux, INERIS, Verneuil-en-Halatte, France.
Xavier CoumoulUniversité Paris Cité, France.ORCID https://orcid.org/0000-0003-2928-9648
François BrionEcotoxicologie des Substances et des Milieux, INERIS, Verneuil-en-Halatte, France.

Funding

H2020 OBERON 825712P190 Axe Ecotoxicologie
6 · The paper itself

Abstract

Although the concept of endocrine disruptors first appeared almost 30 years ago, the relatively recent involvement of these substances in the etiology of metabolic pathologies (obesity, diabetes, hepatic steatosis, etc.) has given rise to the concept of Metabolic Disrupting Chemicals (MDCs). Organs such as the liver and adipose tissue have been well studied in the context of metabolic disruption by these substances. The intestine, however, has been relatively unexplored despite its close link with these organs. In vivo models are useful for the study of the effects of MDCs in the intestine and, in addition, allow investigations into interactions with the rest of the organism. In the latter respect, the zebrafish is an animal model which is used increasingly for the characterization of endocrine disruptors and its use as a model for assessing effects on the intestine will, no doubt, expand. This review aims to highlight the importance of the intestine in metabolism and present the zebrafish as a relevant alternative model for investigating the effect of pollutants in the intestine by focusing, in particular, on cytochrome P450 3A (CYP3A), one of the major molecular players in endogenous and MDCs metabolism in the gut.

Indexed as

Endocrine DisruptorsZebrafishAnimalsCytochrome P-450 CYP3AIntestinal MucosaIntestinesModels, AnimalCytochrome P-450 CYP3AEndocrine DisruptorsCYP3A4endocrine disruptorsfish modelsgut metabolismin vivo modelszebrafish

Identifiers

PMID39218795
PMCPMC11492336

What Socratic 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 Socratic graph.