Towards grouping concepts based on new approach methodologies in chemical hazard assessment: the read-across approach of the EU-ToxRisk project.


Journal

Archives of toxicology
ISSN: 1432-0738
Titre abrégé: Arch Toxicol
Pays: Germany
ID NLM: 0417615

Informations de publication

Date de publication:
12 2019
Historique:
received: 18 09 2019
accepted: 24 09 2019
pubmed: 30 11 2019
medline: 24 9 2020
entrez: 30 11 2019
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 31781791
doi: 10.1007/s00204-019-02591-7
pii: 10.1007/s00204-019-02591-7
doi:

Substances chimiques

Hazardous Substances 0

Types de publication

Editorial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3643-3667

Subventions

Organisme : Horizon 2020 research and innovation programme
ID : 681002
Pays : International

Auteurs

Sylvia E Escher (SE)

Fraunhofer Institute for Toxicology and Experimental Medicine (ITEM), Hannover, Germany. sylvia.escher@item.fraunhofer.de.

Hennicke Kamp (H)

BASF SE, Ludwigshafen, Germany.

Susanne H Bennekou (SH)

National Food Institute, Technical University of Denmark (DTU), Copenhagen, Denmark.

Annette Bitsch (A)

Fraunhofer Institute for Toxicology and Experimental Medicine (ITEM), Hannover, Germany.

Ciarán Fisher (C)

Certare UK Ltd, Sheffield, UK.

Rabea Graepel (R)

Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.

Jan G Hengstler (JG)

Leibniz Research Centre IfADo, Dortmund, Germany.

Matthias Herzler (M)

German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

Derek Knight (D)

Hazard Directorate, European Chemicals Agency, Helsinki, Finland.

Marcel Leist (M)

University of Konstanz, Konstanz, Germany.

Ulf Norinder (U)

Stockholm University, Kista, Sweden.

Gladys Ouédraogo (G)

L'Oréal Rechearch & Innovation, Aulnay-Sous-Bois, France.

Manuel Pastor (M)

Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Universitat Pompeu Fabra, Barcelona, Spain.

Sharon Stuard (S)

The Procter and Gamble Company, Mason, OH, USA.

Andrew White (A)

Unilever PLC, Bedford, UK.

Barbara Zdrazil (B)

Divison of Drug Design and Medicinal Chemistry, University of Vienna, Vienna, Austria.

Bob van de Water (B)

Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands. b.water@lacdr.leidenuniv.nl.

Dinant Kroese (D)

TNO Innovation for Life, Zeist, The Netherlands.

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Classifications MeSH