An approach for mixture testing and prioritization based on common kinetic groups

• Published in: Archives of toxicology Vol. 96; no. 6; pp. 1661 - 1671
• Main Authors: Braeuning, Albert, Bloch, Denise, Karaca, Mawien, Kneuer, Carsten, Rotter, Stefanie, Tralau, Tewes, Marx-Stoelting, Philip
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-06-2022; Springer Nature B.V
• Subjects: Biomedical and Life Sciences; Biomedicine; Chemicals; Environmental Health; Food contamination; Metabolism; Mixtures; Mode of action; Occupational Medicine/Industrial Medicine; Organs; Pesticides; Pharmacology/Toxicology; Regulatory Toxicology; Risk assessment; Toxicity; Trinucleotide repeats; Toxicokinetics; Grouping approach; Mixtures; Risk assessment; Pesticides
• ISSN: 0340-5761; 1432-0738
• DOI: 10.1007/s00204-022-03264-8

In light of an ever-increasing exposure to chemicals, the topic of potential mixture toxicity has gained increased attention, particularly as the toxicological toolbox to address such questions has vastly improved. Routinely toxicological risk assessments will rely on the analysis of individual compounds with mixture effects being considered only in those specific cases where co-exposure is foreseeable, for example for pesticides or food contact materials. In the field of pesticides, active substances are summarized in so-called cumulative assessment groups (CAG) which are primarily based on their toxicodynamic properties, that is, respective target organs and mode of action (MoA). In this context, compounds causing toxicity by a similar MoA are assumed to follow a model of dose/concentration addition (DACA). However, the respective approach inherently falls short of addressing cases where there are dissimilar or independent MoAs resulting in wider toxicokinetic effects. Yet, the latter are often the underlying cause when effects deviate from the DACA model. In the present manuscript, we therefore suggest additionally to consider toxicokinetic effects (especially related to xenobiotic metabolism and transporter interaction) for the grouping of substances to predict mixture toxicity. In line with the concept of MoA-based CAGs, we propose common kinetics groups (CKGs) as an additional tool for grouping of chemicals and mixture prioritization. Fundamentals of the CKG concept are discussed, along with challenges for its implementation, and methodological approaches and examples are explored.