TY - JOUR
T1 - Safer chemicals using less animals
T2 - kick-off of the European ONTOX project
AU - Vinken, Mathieu
AU - Benfenati, Emilio
AU - Busquet, François
AU - Castell, José
AU - Clevert, Djork-Arné
AU - de Kok, Theo
AU - Dirven, Hubert
AU - Fritsche, Ellen
AU - Geris, Liesbet
AU - Gozalbes, Rafael
AU - Hartung, Thomas
AU - Jennen, Danyel
AU - Jover, Ramiro
AU - Kandarova, Helena
AU - Kramer, Nynke
AU - Krul, Cyrille
AU - Luechtefeld, Thomas
AU - Masereeuw, Rosalinde
AU - Roggen, Erwin
AU - Schaller, Stephan
AU - Vanhaecke, Tamara
AU - Yang, Chihae
AU - Piersma, Aldert H
N1 - Funding Information:
ONTOX is financially supported by grant number 963845 of the European Commission under the Horizon2020 research and innovation framework program . Only work package leaders and principal investigators have been included in the list of authors, yet all consortium members are acknowledged for their contributions.
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/6/30
Y1 - 2021/6/30
N2 - The 3Rs concept, calling for replacement, reduction and refinement of animal experimentation, is receiving increasing attention around the world, and has found its way to legislation, in particular in the European Union. This is aligned by continuing high-level efforts of the European Commission to support development and implementation of 3Rs methods. In this respect, the European project called "ONTOX: ontology-driven and artificial intelligence-based repeated dose toxicity testing of chemicals for next generation risk assessment" was recently initiated with the goal to provide a functional and sustainable solution for advancing human risk assessment of chemicals without the use of animals in line with the principles of 21 st century toxicity testing and next generation risk assessment. ONTOX will deliver a generic strategy to create new approach methodologies (NAMs) in order to predict systemic repeated dose toxicity effects that, upon combination with tailored exposure assessment, will enable human risk assessment. For proof-of-concept purposes, focus is put on NAMs addressing adversities in the liver, kidneys and developing brain induced by a variety of chemicals. The NAMs each consist of a computational system based on artificial intelligence and are fed by biological, toxicological, chemical and kinetic data. Data are consecutively integrated in physiological maps, quantitative adverse outcome pathway networks and ontology frameworks. Supported by artificial intelligence, data gaps are identified and are filled by targeted in vitro and in silico testing. ONTOX is anticipated to have a deep and long-lasting impact at many levels, in particular by consolidating Europe's world-leading position regarding the development, exploitation, regulation and application of animal-free methods for human risk assessment of chemicals.
AB - The 3Rs concept, calling for replacement, reduction and refinement of animal experimentation, is receiving increasing attention around the world, and has found its way to legislation, in particular in the European Union. This is aligned by continuing high-level efforts of the European Commission to support development and implementation of 3Rs methods. In this respect, the European project called "ONTOX: ontology-driven and artificial intelligence-based repeated dose toxicity testing of chemicals for next generation risk assessment" was recently initiated with the goal to provide a functional and sustainable solution for advancing human risk assessment of chemicals without the use of animals in line with the principles of 21 st century toxicity testing and next generation risk assessment. ONTOX will deliver a generic strategy to create new approach methodologies (NAMs) in order to predict systemic repeated dose toxicity effects that, upon combination with tailored exposure assessment, will enable human risk assessment. For proof-of-concept purposes, focus is put on NAMs addressing adversities in the liver, kidneys and developing brain induced by a variety of chemicals. The NAMs each consist of a computational system based on artificial intelligence and are fed by biological, toxicological, chemical and kinetic data. Data are consecutively integrated in physiological maps, quantitative adverse outcome pathway networks and ontology frameworks. Supported by artificial intelligence, data gaps are identified and are filled by targeted in vitro and in silico testing. ONTOX is anticipated to have a deep and long-lasting impact at many levels, in particular by consolidating Europe's world-leading position regarding the development, exploitation, regulation and application of animal-free methods for human risk assessment of chemicals.
KW - 3Rs
KW - Artificial intelligence
KW - European project
KW - In silico
KW - In vitro
KW - ONTOX
KW - Ontology
KW - Systemic toxicity
UR - http://www.scopus.com/inward/record.url?scp=85110251572&partnerID=8YFLogxK
U2 - 10.1016/j.tox.2021.152846
DO - 10.1016/j.tox.2021.152846
M3 - Review article
C2 - 34216698
SN - 0300-483X
VL - 458
SP - 1
EP - 7
JO - Toxicology
JF - Toxicology
M1 - 152846
ER -