Evidence map›Paper›PMID 32073639›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2020

Profiling the ToxCast Library With a Pluripotent Human (H9) Stem Cell Line-Based Biomarker Assay for Developmental Toxicity.

Todd J Zurlinden, Katerine S Saili, Nathaniel Rush, Parth Kothiya, Richard S Judson, Keith A Houck, E Sidney Hunter, Nancy C Baker, Jessica A Palmer, Russell S Thomas and 1 more

Abstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

  1. Knowledge-Driven Approaches to Create the MTox700+ Metabolite Panel for Predicting Toxicity.Toxicological sciences : an official journal of the Society of Toxicology · 2022
    Pooled it
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  5. Identifying environmental chemicals impacting neurodevelopment using a random mixture-based screening approach.Toxicological sciences : an official journal of the Society of Toxicology · 2025
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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

11 authors.

Todd J ZurlindenNational Center for Computational Toxicology (NCCT).
Katerine S SailiNational Center for Computational Toxicology (NCCT).
Nathaniel RushNational Center for Computational Toxicology (NCCT).
Parth KothiyaNational Center for Computational Toxicology (NCCT).
Richard S JudsonNational Center for Computational Toxicology (NCCT).
Keith A HouckNational Center for Computational Toxicology (NCCT).
E Sidney HunterNational Health and Environmental Effects Research Laboratory (NHEERL), Office of Research and Development (ORD), U.S. Environmental Protection Agency (USEPA), Research Triangle Park, North Carolina.
Nancy C BakerLeidos, Research Triangle Park, North Carolina.
Jessica A PalmerStemina Biomarker Discovery, Inc, Madison, Wisconsin.
Russell S ThomasNational Center for Computational Toxicology (NCCT).
Thomas B KnudsenNational Center for Computational Toxicology (NCCT).

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The Stemina devTOX quickPredict platform is a human pluripotent stem cell-based assay that predicts the developmental toxicity potential based on changes in cellular metabolism following chemical exposure [Palmer, J. A., Smith, A. M., Egnash, L. A., Conard, K. R., West, P. R., Burrier, R. E., Donley, E. L. R., and Kirchner, F. R. (2013). Establishment and assessment of a new human embryonic stem cell-based biomarker assay for developmental toxicity screening. Birth Defects Res. B Dev. Reprod. Toxicol. 98, 343-363]. Using this assay, we screened 1065 ToxCast phase I and II chemicals in single-concentration or concentration-response for the targeted biomarker (ratio of ornithine to cystine secreted or consumed from the media). The dataset from the Stemina (STM) assay is annotated in the ToxCast portfolio as STM. Major findings from the analysis of ToxCast_STM dataset include (1) 19% of 1065 chemicals yielded a prediction of developmental toxicity, (2) assay performance reached 79%-82% accuracy with high specificity (> 84%) but modest sensitivity (< 67%) when compared with in vivo animal models of human prenatal developmental toxicity, (3) sensitivity improved as more stringent weights of evidence requirements were applied to the animal studies, and (4) statistical analysis of the most potent chemical hits on specific biochemical targets in ToxCast revealed positive and negative associations with the STM response, providing insights into the mechanistic underpinnings of the targeted endpoint and its biological domain. The results of this study will be useful to improving our ability to predict in vivo developmental toxicants based on in vitro data and in silico models.

Indexed as

Animal Testing AlternativesToxicity TestsAnimalsBiological AssayBiomarkersCell LineDatabases, FactualDose-Response Relationship, DrugHigh-Throughput Screening AssaysHumansPluripotent Stem CellsRisk AssessmentBiomarkersdevelopmental toxicityembryonic stem cellspredictive toxicology

Identifiers

PMID32073639
PMCPMC8527599

What OpenQuestion holds

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Registered trials

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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.