Evidence map›Paper›PMID 33086383›Full record

ArticleALTEX2021

Grouping of UVCB substances with new approach methodologies (NAMs) data.

John S House, Fabian A Grimm, William D Klaren, Abigail Dalzell, Srikeerthana Kuchi, Shu-Dong Zhang, Klaus Lenz, Peter J Boogaard, Hans B Ketelslegers, Timothy W Gant and 2 more

Abstract read
In one paragraph

Article in ALTEX, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Incorporating new approach methods (NAMs) data in dose-response assessments: The future is now!Journal of toxicology and environmental health. Part B, Critical reviews · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Guided optimization of ToxPi model weights using a Semi-Automated approach.Computational toxicology (Amsterdam, Netherlands) · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Update of the risk assessment of mineral oil hydrocarbons in food.EFSA journal. European Food Safety Authority · 2023
    Article
  17. Article
  18. Article
  19. Review
  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

12 authors.

John S HouseBioinformatics Research Center, North Carolina State University, Raleigh, NC, USA.
Fabian A GrimmDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA.
William D KlarenDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA.
Abigail DalzellPublic Health England, Centre for Radiation, Chemical and Environmental Hazards, Harwell Science Campus, Oxon, UK.
Srikeerthana KuchiNorthern Ireland Centre for Stratified Medicine, Ulster University, L/Derry, Northern Ireland, UK.
Shu-Dong ZhangNorthern Ireland Centre for Stratified Medicine, Ulster University, L/Derry, Northern Ireland, UK.
Klaus LenzSYNCOM Forschungs- und Entwicklungsberatung GmbH, Ganderkesee, Germany.
Peter J BoogaardSHELL International BV, The Hague, Netherlands.
Hans B KetelslegersConcawe, Brussels, Belgium.
Timothy W GantPublic Health England, Centre for Radiation, Chemical and Environmental Hazards, Harwell Science Campus, Oxon, UK.
Fred A WrightBioinformatics Research Center, North Carolina State University, Raleigh, NC, USA.
Ivan RusynDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA.

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
Regulatory Science in Environmental Health and ToxicologyT32ES026568 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu, Natalie M Johnson · 2016 to 2026
$3.8M
NIEHS NIH HHS P42 ES027704NIEHS NIH HHS T32 ES026568
6 · The paper itself

Abstract

One of the most challenging areas in regulatory science is assessment of the substances known as UVCB (unknown or variable composition, complex reaction products and biological materials). Because the inherent complexity and variability of UVCBs present considerable challenges for establishing sufficient substance similarity based on chemical characteristics or other data, we hypothesized that new approach methodologies (NAMs), including in vitro test-derived biological activity signatures to characterize substance similarity, could be used to support grouping of UVCBs. We tested 141 petroleum substances as representative UVCBs in a compendium of 15 human cell types representing a variety of tissues. Petroleum substances were assayed in dilution series to derive point of departure estimates for each cell type and phenotype. Extensive quality control measures were taken to ensure that only high-confidence in vitro data were used to determine whether current groupings of these petroleum substances, based largely on the manufacturing process and physico-chemical properties, are justifiable. We found that bioactivity data-based groupings of petroleum substances were generally consistent with the manufacturing class-based categories. We also showed that these data, especially bioactivity from human induced pluripotent stem cell (iPSC)-derived and primary cells, can be used to rank substances in a manner highly concordant with their expected in vivo hazard potential based on their chemical compositional profile. Overall, this study demonstrates that NAMs can be used to inform groupings of UVCBs, to assist in identification of repre­sentative substances in each group for testing when needed, and to fill data gaps by read-across.

Indexed as

Animal Testing AlternativesHazardous SubstancesHumansInduced Pluripotent Stem CellsPetroleumToxicity TestsHazardous SubstancesPetroleumin vitroiPSCpetroleum

Identifiers

PMID33086383
PMCPMC7900923

What OpenQuestion holds

Textmetadata
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.