Evidence map›Paper›PMID 32040188›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2020

Potential of ToxCast Data in the Safety Assessment of Food Chemicals.

Ans Punt, James Firman, Alan Boobis, Mark Cronin, John Paul Gosling, Martin F Wilks, Paul A Hepburn, Anette Thiel, Karma C Fussell

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

9 authors.

Ans PuntWageningen Food Safety Research, 6700 AE Wageningen, The Netherlands.
James FirmanSchool of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK.
Alan BoobisNational Heart & Lung Institute, Imperial College London, London W12 0NN, UK.
Mark CroninSchool of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK.
John Paul GoslingSchool of Mathematics, University of Leeds, Leeds LS2 9JT, UK.
Martin F WilksSwiss Centre for Applied Human Toxicology, University of Basel, 4055 Basel, Switzerland.
Paul A HepburnUnilever, Safety & Environmental Assurance Centre, Colworth Science Park, Sharnbrook MK44 1LQ, UK.
Anette ThielDSM Nutritional Products, 4303 Kaiseraugst, Switzerland.
Karma C FussellNestlé Research, CH-1000 Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tox21 and ToxCast are high-throughput in vitro screening programs coordinated by the U.S. National Toxicology Program and the U.S. Environmental Protection Agency, respectively, with the goal of forecasting biological effects in vivo based on bioactivity profiling. The present study investigated whether mechanistic insights in the biological targets of food-relevant chemicals can be obtained from ToxCast results when the chemicals are grouped according to structural similarity. Starting from the 556 direct additives that have been identified in the ToxCast database by Karmaus et al. [Karmaus, A. L., Trautman, T. D., Krishan, M., Filer, D. L., and Fix, L. A. (2017). Curation of food-relevant chemicals in ToxCast. Food Chem. Toxicol. 103, 174-182.], the results showed that, despite the limited number of assays in which the chemical groups have been tested, sufficient results are available within so-called "DNA binding" and "nuclear receptor" target families to profile the biological activities of the defined chemical groups for these targets. The most obvious activity identified was the estrogen receptor-mediated actions of the chemical group containing parabens and structurally related gallates, as well the chemical group containing genistein and daidzein (the latter 2 being particularly active toward estrogen receptor β as a potential health benefit). These group effects, as well as the biological activities of other chemical groups, were evaluated in a series of case studies. Overall, the results of the present study suggest that high-throughput screening data could add to the evidence considered for regulatory risk assessment of food chemicals and to the evaluation of desirable effects of nutrients and phytonutrients. The data will be particularly useful for providing mechanistic information and to fill data gaps with read-across.

Indexed as

Food SafetyToxicity TestsAnimalsDatabases, ChemicalFood AdditivesHigh-Throughput Screening AssaysHumansMolecular StructureRisk AssessmentStructure-Activity RelationshipFood Additivesfood chemicalshigh-throughput in vitro screeningread-acrossrisk-benefitToxCast

Identifiers

PMID32040188
PMCPMC7098372

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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.