Back to Search Start Over

An adverse outcome pathway-based approach to assess steatotic mixture effects of hepatotoxic pesticides in vitro

Authors :
Bernd Wollscheid
Roger Rahmani
Anastasia Spyropoulou
Ad A. C. M. Peijnenburg
Dajana Lichtenstein
Geert Stoopen
Georges de Sousa
Jimmy Alarcan
Nathalie Zucchini-Pascal
Efrosini S. Katsanou
Marianna Stamou
Claudia Luckert
Emanuela S. Milani
Kyriaki Machera
Deborah Rijkers
Albert Braeuning
Shana J. Sturla
Parthena Konstantinidou
Michail Gioutlakis
Alfonso Lampen
Bundesinstitut für Risikobewertung - Federal Institute for Risk Assessment (BfR)
ToxAlim (ToxAlim)
Université Toulouse III - Paul Sabatier (UT3)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT)
Institut National Polytechnique (Toulouse) (Toulouse INP)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP)
Université Fédérale Toulouse Midi-Pyrénées-Ecole d'Ingénieurs de Purpan (INPT - EI Purpan)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Benaki Phytopathological Institute
National Institute of Diabetes and Digestive and Kidney Diseases [Bethesda]
Department of Health Sciences and Technology [ETH Zürich] (D-HEST)
Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich)
Wageningen University and Research [Wageningen] (WUR)
European Project: 633172,H2020,H2020-SFS-2014-2,EuroMix(2015)
Université de Toulouse (UT)-Université de Toulouse (UT)-Ecole Nationale Vétérinaire de Toulouse (ENVT)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP)
Université de Toulouse (UT)-Ecole d'Ingénieurs de Purpan (INP - PURPAN)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Benaki Phytopathological Institute (BPI)
Source :
Food and Chemical Toxicology, Food and Chemical Toxicology, Elsevier, 2020, 139, ⟨10.1016/j.fct.2020.111283⟩, Food and Chemical Toxicology, 139, Food and Chemical Toxicology 139 (2020), Food and Chemical Toxicology, 2020, 139, ⟨10.1016/j.fct.2020.111283⟩
Publication Year :
2019

Abstract

Exposure to complex chemical mixtures requires a tiered strategy for efficient mixture risk assessment. As a part of the EuroMix project we developed an adverse outcome pathway (AOP)-based assay toolbox to investigate the combined effects of the liver steatosis-inducing compounds imazalil, thiacloprid, and clothianidin in human HepaRG hepatocarcinoma cells. Compound-specific relative potency factors were determined using a benchmark dose approach. Equipotent mixtures were tested for nuclear receptor activation, gene and protein expression, and triglyceride accumulation, according to the molecular initiating events and key events proposed in the steatosis AOP. All three compounds affected the activity of nuclear receptors, but not key genes/proteins as proposed. Triglyceride accumulation was observed with three different methods. Mixture effects were in agreement with the assumption of dose additivity for all the combinations and endpoints tested. Compound-specific RPFs remained similar over the different endpoints studied downstream the AOP. Therefore, it might be possible to reduce testing to a smaller battery of key tests. The results demonstrate the suitability of our in vitro assay toolbox, integrated within an AOP framework and combined with the RPF approach, for the analysis of steatotic effects of chemical mixtures. However, mRNA results suggest that the steatosis AOP still needs improvement.

Details

ISSN :
18736351 and 02786915
Volume :
139
Database :
OpenAIRE
Journal :
Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
Accession number :
edsair.doi.dedup.....1c4313079920eeabf454f75d1402891f