Evidence map›Paper›PMID 37235222›Full record

ArticleToxics2023

Systematic Evaluation of the Application of Zebrafish in Toxicology (SEAZIT): Developing a Data Analysis Pipeline for the Assessment of Developmental Toxicity with an Interlaboratory Study.

Jui-Hua Hsieh, Sue Nolte, Jon T Hamm, Zicong Wang, Georgia K Roberts, Charles P Schmitt, Kristen R Ryan

Abstract read
In one paragraph

Article in Toxics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Jui-Hua HsiehDivision of Translational Toxicology, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA.ORCID 0000-0003-1620-1571
Sue NolteOffice of Data Science, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA.
Jon T HammInotiv, Morrisville, NC 27560, USA.
Zicong WangDivision of Translational Toxicology, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA.
Georgia K RobertsDivision of Translational Toxicology, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA.
Charles P SchmittOffice of Data Science, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA.
Kristen R RyanDivision of Translational Toxicology, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA.

Funding

Research Services Supporting the Division of Translational ToxicologyZICES103380 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI HOOTH, MICHELLE · 2022 to 2025
$42.8M
Scientific Cyberinfrastructure Research ProgramZIAES103385 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI WALKER, VICKIE · 2022 to 2025
$17.4M
Novel Tools and Approaches Research ProgramZIAES103378 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI CRIZER, DAVID · 2022 to 2025
$11.2M
Development of Data Science MethodsZIAES103364 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SCHMITT, CHARLES · 2021 to 2025
$1.6M
NIEHS NIH HHS HHSN273201400020CNIEHS NIH HHS HHSN273201500001CNIEHS NIH HHS HHSN273201700005C
6 · The paper itself

Abstract

The embryonic zebrafish is a useful vertebrate model for assessing the effects of substances on growth and development. However, cross-laboratory developmental toxicity outcomes can vary and reported developmental defects in zebrafish may not be directly comparable between laboratories. To address these limitations for gaining broader adoption of the zebrafish model for toxicological screening, we established the Systematic Evaluation of the Application of Zebrafish in Toxicology (SEAZIT) program to investigate how experimental protocol differences can influence chemical-mediated effects on developmental toxicity (i.e., mortality and the incidence of altered phenotypes). As part of SEAZIT, three laboratories were provided a common and blinded dataset (42 substances) to evaluate substance-mediated effects on developmental toxicity in the embryonic zebrafish model. To facilitate cross-laboratory comparisons, all the raw experimental data were collected, stored in a relational database, and analyzed with a uniform data analysis pipeline. Due to variances in laboratory-specific terminology for altered phenotypes, we utilized ontology terms available from the Ontology Lookup Service (OLS) for Zebrafish Phenotype to enable additional cross-laboratory comparisons. In this manuscript, we utilized data from the first phase of screening (dose range finding, DRF) to highlight the methodology associated with the development of the database and data analysis pipeline, as well as zebrafish phenotype ontology mapping.

Indexed as

danio reriodata analysis pipelinedevelopmental toxicantsdevelopmental toxicity testingembryonic developmentinterlaboratory comparisonsphenotype ontology

Identifiers

PMID37235222
PMCPMC10222636

What OpenQuestion holds

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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.