Evidence map›Paper›PMID 29436169›Full record

ArticleBirth defects research2018

Rethinking developmental toxicity testing: Evolution or revolution?

Anthony R Scialli, George Daston, Connie Chen, Prägati S Coder, Susan Y Euling, Jennifer Foreman, Alan M Hoberman, Julia Hui, Thomas Knudsen, Susan L Makris and 4 more

Abstract readConsensus Statement
In one paragraph

Article in Birth defects research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Pluripotent stem cells for target organ developmental toxicity testing.Toxicological sciences : an official journal of the Society of Toxicology · 2024
    Review
  5. Review
  6. Article
  7. Modeling Human Gonad Development in Organoids.Tissue engineering and regenerative medicine · 2022
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Dictyostelium discoideum: An Alternative Nonanimal Model for Developmental Toxicity Testing.Toxicological sciences : an official journal of the Society of Toxicology · 2021
    Article
  14. Review
  15. FutureTox IV Workshop Summary: Predictive Toxicology for Healthy Children.Toxicological sciences : an official journal of the Society of Toxicology · 2021
    Review
  16. Article
  17. Article
  18. Review
  19. Computational Biology andCurrent opinion in toxicology · 2020
    Article
  20. 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

14 authors.

Anthony R ScialliReproductive Toxicology Center and Scialli Consulting LLC, Washington, DC.ORCID 0000-0003-1351-4572
George DastonProctor & Gamble, Mason, Ohio.
Connie ChenILSI Health and Environmental Sciences Institute, Washington, DC.
Prägati S CoderCharles River Laboratories, Ashland, Ohio.
Susan Y EulingOffice of Children's Health Protection, U.S. Environmental Protection Agency, Washington, DC.
Jennifer ForemanExxonMobil Biomedical Sciences, Inc, Annandale, New Jersey.
Alan M HobermanCharles River Laboratories, Horsham, Pennsylvania.
Julia HuiCelgene Corporation, Summit, New Jersey.
Thomas KnudsenNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina.
Susan L MakrisNational Center for Environmental Assessment, U.S. Environmental Protection Agency, Washington, DC.
LaRonda MorfordLilly Research Laboratories, Indianapolis, Indiana.
Aldert H PiersmaCenter for Health Protection, National Institute for Public Health and the Environment RIVM, Bilthoven and Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.
Dinesh StanislausGlaxoSmithKline, King of Prussia, Pennsylvania.
Kary E ThompsonDrug Safety Evaluation, Bristol-Myers Squibb, New Brunswick, New Jersey.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

backgroundCurrent developmental toxicity testing adheres largely to protocols suggested in 1966 involving the administration of test compound to pregnant laboratory animals. After more than 50 years of embryo-fetal development testing, are we ready to consider a different approach to human developmental toxicity testing?

methodsA workshop was held under the auspices of the Developmental and Reproductive Toxicology Technical Committee of the ILSI Health and Environmental Sciences Institute to consider how we might design developmental toxicity testing if we started over with 21st century knowledge and techniques (revolution). We first consider what changes to the current protocols might be recommended to make them more predictive for human risk (evolution).

resultsThe evolutionary approach includes modifications of existing protocols and can include humanized models, disease models, more accurate assessment and testing of metabolites, and informed approaches to dose selection. The revolution could start with hypothesis-driven testing where we take what we know about a compound or close analog and answer specific questions using targeted experimental techniques rather than a one-protocol-fits-all approach. Central to the idea of hypothesis-driven testing is the concept that testing can be done at the level of mode of action. It might be feasible to identify a small number of key events at a molecular or cellular level that predict an adverse outcome and for which testing could be performed in vitro or in silico or, rarely, using limited in vivo models. Techniques for evaluating these key events exist today or are in development. DISCUSSION: Opportunities exist for refining and then replacing current developmental toxicity testing protocols using techniques that have already been developed or are within reach.

Indexed as

AnimalsEmbryonic DevelopmentFemaleFetal DevelopmentHumansPregnancyRisk AssessmentToxicity Testsadverse outcome pathwaysdevelopmental toxicity testingembryo-fetal toxicity testinghypothesis-based testingSegment IIvirtual embryo

Identifiers

PMID29436169
PMCPMC6624839

What OpenQuestion holds

Textmetadata
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.