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Towards grouping concepts based on new approach methodologies in chemical hazard assessment: the read-across approach of the EU-ToxRisk project
- Source :
- Archives of Toxicology, 93(12), 3643-3667, Archives of Toxicology
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- Read-across is one of the most frequently used alternative tools for hazard assessment, in particular for complex endpoints such as repeated dose or developmental and reproductive toxicity. Read-across extrapolates the outcome of a specific toxicological in vivo endpoint from tested (source) compounds to “similar” (target) compound(s). If appropriately applied, a read-across approach can be used instead of de novo animal testing. The read-across approach starts with structural/physicochemical similarity between target and source compounds, assuming that similar structural characteristics lead to similar human hazards. In addition, similarity also has to be shown for the toxicokinetic and toxicodynamic properties of the grouped compounds. To date, many read-across cases fail to demonstrate toxicokinetic and toxicodynamic similarities. New concepts, in vitro and in silico tools are needed to better characterise these properties, collectively called new approach methodologies (NAMs). This white paper outlines a general read-across assessment concept using NAMs to support hazard characterization of the grouped compounds by generating data on their dynamic and kinetic properties. Based on the overarching read-across hypothesis, the read-across workflow suggests targeted or untargeted NAM testing also outlining how mechanistic knowledge such as adverse outcome pathways (AOPs) can be utilized. Toxicokinetic models (biokinetic and PBPK), enriched by in vitro parameters such as plasma protein binding and hepatocellular clearance, are proposed to show (dis)similarity of target and source compound toxicokinetics. Furthermore, in vitro to in vivo extrapolation is proposed to predict a human equivalent dose, as potential point of departure for risk assessment. Finally, the generated NAM data are anchored to the existing in vivo data of source compounds to predict the hazard of the target compound in a qualitative and/or quantitative manner. To build this EU-ToxRisk read-across concept, case studies have been conducted and discussed with the regulatory community. These case studies are briefly outlined. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
- Subjects :
- 0301 basic medicine
Hazard (logic)
Physiologically based pharmacokinetic modelling
Toxicodynamics
Computer science
Health, Toxicology and Mutagenesis
In silico
Computational biology
010501 environmental sciences
Hazard analysis
Toxicology
Risk Assessment
01 natural sciences
Hazardous Substances
Workflow
03 medical and health sciences
Terminology as Topic
ddc:570
Toxicity Tests
Similarity (psychology)
Animals
Humans
Computer Simulation
0105 earth and related environmental sciences
Adverse Outcome Pathways
General Medicine
Models, Theoretical
Toxicokinetics
Chemical hazard
030104 developmental biology
Subjects
Details
- ISBN :
- 978-0-309-38814-6
- ISSN :
- 14320738, 03405761, and 36433667
- ISBNs :
- 9780309388146
- Volume :
- 93
- Database :
- OpenAIRE
- Journal :
- Archives of Toxicology
- Accession number :
- edsair.doi.dedup.....53b17071c3e18d74998731b9032313a1
- Full Text :
- https://doi.org/10.1007/s00204-019-02591-7