Evidence map›Paper›PMID 39897714›Full record

ArticleCurrent opinion in toxicology2025

Advancements in the Developmental Zebrafish Model for Predictive Human Toxicology.

Mackenzie L Morshead, Robyn L Tanguay

Abstract read
In one paragraph

Article in Current opinion in toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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.

Mackenzie L MorsheadSinnhuber Aquatic Research Laboratory, Department of Environmental and Molecular Toxicology, Oregon State University 28645 East Highway 34, Corvallis, OR 97331, USA.
Robyn L TanguaySinnhuber Aquatic Research Laboratory, Department of Environmental and Molecular Toxicology, Oregon State University 28645 East Highway 34, Corvallis, OR 97331, USA.

Funding

Research Experience and Training Coordination CoreP42ES016465 · NIEHS · OREGON STATE UNIVERSITY · PI Robyn L Tanguay · 2009 to 2026
$52.5M
MODE OF ACTION OF ENVIRONMENTAL TOXICANTST32ES007060 · NIEHS · OREGON STATE UNIVERSITY · PI Jamie DeWitt, Siva Kumar Kolluri · 1985 to 2026
$11.6M
Zebrafish Biomedical Research Facility CoreP30ES030287 · NIEHS · OREGON STATE UNIVERSITY · PI Jamie DeWitt · 2020 to 2026
$9.8M
Discovering Chemical Activity Networks-Predicting Bioactivity Based on StructureR35ES031709 · NIEHS · OREGON STATE UNIVERSITY · PI Robyn L Tanguay · 2021 to 2026
$5.2M
NIEHS NIH HHS P30 ES030287NIEHS NIH HHS P42 ES016465NIEHS NIH HHS R35 ES031709NIEHS NIH HHS T32 ES007060
6 · The paper itself

Abstract

The rapid assessment of chemical hazards to human health, with reduced reliance on mammalian testing, is essential in the 21st century. Early life stage zebrafish have emerged as a leading model in the field due to their amenability to high throughput developmental toxicity testing while retaining the benefits of using a whole vertebrate organism with high homology with humans. Zebrafish are particularly well suited for a variety of study areas that are more challenging in other vertebrate model systems including microbiome work, transgenerational studies, gene-environment interactions, molecular responses, and mechanisms of action. The high volume of data generated from zebrafish screening studies is highly valuable for QSAR modeling and dose modeling for use in predictive hazard assessment. Recent advancements and challenges in using early life stage zebrafish for predictive human toxicology are reviewed.

Indexed as

High throughputPBPKQSARTranscriptomicsTranslation

Identifiers

PMID39897714
PMCPMC11780918

What OpenQuestion holds

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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.