Evidence map›Paper›PMID 32094287›Full record

ArticleDisease models & mechanisms2020

Casting a wide net: use of diverse model organisms to advance toxicology.

Mark E Hahn, Kirsten C Sadler

Abstract readEditorial
In one paragraph

Article in Disease models & mechanisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Impact of drug solvents onToxicology reports · 2021
    Article
  9. Article
  10. 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

2 authors.

Mark E HahnBiology Department, Woods Hole Oceanographic Institution, 45 Water Street, Woods Hole, MA 02543, USA mhahn@whoi.edu Kirsten.edepli@nyu.edu.ORCID 0000-0003-4358-2082
Kirsten C SadlerProgram in Biology, NYU Abu Dhabi, PO Box 129188 Abu Dhabi, UAE mhahn@whoi.edu Kirsten.edepli@nyu.edu.ORCID 0000-0002-1100-4125

Funding

Training CoreP42ES007381 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MONTI, STEFANO · 1995 to 2019
$46.1M
Woods Hole Center for Oceans and Human HealthP01ES028938 · NIEHS · WOODS HOLE OCEANOGRAPHIC INSTITUTION · PI Mindy Richlen · 2018 to 2026
$5.7M
Understanding fatty liver disease using the zebrafish mutant, foie grasR01AA018886 · NIAAA · NEW YORK UNIVERSITY · PI SADLER EDEPLI, KIRSTEN C · 2009 to 2017
$2.4M
NIAAA NIH HHS R01 AA018886NIEHS NIH HHS P01 ES028938NIEHS NIH HHS P42 ES007381
6 · The paper itself

Abstract

Toxicology - the study of how chemicals interact with biological systems - has clear relevance to human health and disease. Persistent exposure to natural and synthetic chemicals is an unavoidable part of living on our planet; yet, we understand very little about the effects of exposure to the vast majority of chemicals. While epidemiological studies can provide strong statistical inference linking chemical exposure to disease, research in model systems is essential to elucidate the mechanisms of action and to predict outcomes. Most research in toxicology utilizes a handful of mammalian models that represent a few distinct branches of the evolutionary tree. This narrow focus constrains the understanding of chemical-induced disease processes and systems that have evolved in response to exposures. We advocate for casting a wider net in environmental toxicology research to utilize diverse model systems, including zebrafish, and perform more mechanistic studies of cellular responses to chemical exposures to shift the perception of toxicology as an applied science to that of a basic science. This more-inclusive perspective will enrich the field and should remain central to research on chemical-induced disease.

Indexed as

Models, BiologicalToxicity TestsAnimalsHealthHumansModels, AnimalResearchAnimal modelsToxicantsToxicologyZebrafish

Identifiers

PMID32094287
PMCPMC7132827

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.