Evidence map›Paper›PMID 36063173›Full record

ArticleArchives of toxicology2022

Towards best use and regulatory acceptance of generic physiologically based kinetic (PBK) models for in vitro-to-in vivo extrapolation (IVIVE) in chemical risk assessment.

Abdulkarim Najjar, Ans Punt, John Wambaugh, Alicia Paini, Corie Ellison, Styliani Fragki, Enrica Bianchi, Fagen Zhang, Joost Westerhout, Dennis Mueller and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Archives of toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
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

22 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  8. Extrapolation steps in quantitativeCurrent research in toxicology · 2026
    Review
  9. Transferability and Reproducibility of the HepaRG CometChip Assay.Environmental and molecular mutagenesis · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Review
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  15. Review
  16. Article
  17. Article
  18. Making PBPK models more reproducible in practice.Briefings in bioinformatics · 2024
    Article
  19. 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

18 authors at 14 institutions in 5 countries.

Abdulkarim NajjarBeiersdorf AG, Hamburg, Germany.
Ans PuntWageningen Food Safety Research, Wageningen, The Netherlands.
John WambaughCenter for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.
Alicia PainiesqLABS GmbH, Saterland, Germany.
Corie EllisonThe Procter and Gamble Company, Cincinnati, OH, USA.
Styliani FragkiNational Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Enrica BianchiCorteva Agriscience, Indianapolis, IN, USA.
Fagen ZhangThe Dow Chemical Company, Midland, MI, USA.
Joost WesterhoutThe Netherlands Organisation for Applied Scientific Research TNO, Utrecht, The Netherlands.
Dennis MuellerResearch and Development, Crop Science, Bayer AG, Monheim, Germany.
Hequn LiUnilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, UK.
Quan ShiShell Global Solutions International B.V, The Hague, The Netherlands.
Timothy W GantSchool of Public Health, Faculty of Medicine, Imperial College London, London, UK.
Phil BothamSyngenta, Jealott's Hill, Bracknell, Berkshire, UK.
Rémi BarsCrop Science Division, Bayer S.A.S., Sophia Antipolis, France.
Aldert PiersmaNational Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Ben van RavenzwaayEnvironmental Sciences Consulting, Altrip, Germany.
Nynke I KramerToxicology Division, Wageningen University, PO Box 8000, 6700 EA, Wageningen, The Netherlands. nynke.kramer@wur.nl.ORCID 0000-0002-3281-1815
National Institute for Public Health and the Environment · NLWageningen University & Research · NLBayer (France) · FRBayer (Germany) · DEBeiersdorf (Germany) · DECorteva (United States) · USDow Chemical (United States) · USEnvironmental Protection Agency · USImperial College London · GBNetherlands Organisation for Applied Scientific Research · NLProcter & Gamble (United States) · USShell (Netherlands) · NLSyngenta (United Kingdom) · GBUnilever (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With an increasing need to incorporate new approach methodologies (NAMs) in chemical risk assessment and the concomitant need to phase out animal testing, the interpretation of in vitro assay readouts for quantitative hazard characterisation becomes more important. Physiologically based kinetic (PBK) models, which simulate the fate of chemicals in tissues of the body, play an essential role in extrapolating in vitro effect concentrations to in vivo bioequivalent exposures. As PBK-based testing approaches evolve, it will become essential to standardise PBK modelling approaches towards a consensus approach that can be used in quantitative in vitro-to-in vivo extrapolation (QIVIVE) studies for regulatory chemical risk assessment based on in vitro assays. Based on results of an ECETOC expert workshop, steps are recommended that can improve regulatory adoption: (1) define context and implementation, taking into consideration model complexity for building fit-for-purpose PBK models, (2) harmonise physiological input parameters and their distribution and define criteria for quality chemical-specific parameters, especially in the absence of in vivo data, (3) apply Good Modelling Practices (GMP) to achieve transparency and design a stepwise approach for PBK model development for risk assessors, (4) evaluate model predictions using alternatives to in vivo PK data including read-across approaches, (5) use case studies to facilitate discussions between modellers and regulators of chemical risk assessment. Proof-of-concepts of generic PBK modelling approaches are published in the scientific literature at an increasing rate. Working on the previously proposed steps is, therefore, needed to gain confidence in PBK modelling approaches for regulatory use.

Indexed as

Models, BiologicalAnimalsKineticsRisk AssessmentIVIVENAMsPBK modelsRegulatory acceptanceRisk assessment

Identifiers

PMID36063173
PMCPMC9584981
OpenAlexW4294599666

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.