Matched molecular pairs-driven read-across for the prediction of genotoxicity of plant protection product residues

In dietary risk assessment of plant protection products, residues of active ingredients and their metabolites need to be evaluated for their genotoxic potential. The European Food Safety Authority recommend a tiered approach focussing assessment and testing on classes of similar chemicals. To characterise similarity, a matched molecular pairs approach has been developed and applied to datasests of sulphonylurea herbicides, strobilurins fungicides and α-chloroacetamide herbicides for which either Ames, chromosomal aberration or micronucleus test results are publicly available. The approach is exemplified with four case studies illustrating how matched molecular pairs analysis can be used to identify analogues that cover the structural domain of the chemical for which a data-gap exists. The method is a robust and reproducible approach to such read-across predictions, with the potential to reduce unnecessary testing.

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Publication Details

Journal
Regulatory Toxicology and Pharmacology
Published
2025-08-04
DOI
https://doi.org/10.1016/j.yrtph.2025.105915
Citations
1
Primary Topic
Agricultural safety and regulations
Type
article
Field-Weighted Citation Impact
1.16
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article

Matched molecular pairs-driven read-across for the prediction of genotoxicity of plant protection product residues

K. Bridgwood, Markus Frericks, M Cronin, Bola Sadashiva Satish Rao et al.
1 citations
Regulatory Toxicology and Pharmacology
Agricultural safety and regulations
1.16
article

Matched molecular pairs-driven read-across for the prediction of genotoxicity of plant protection product residues

K. Bridgwood, Markus Frericks, M Cronin, Bola Sadashiva Satish Rao, Z. Hasarova, Steven J. Enoch, Felix M. Kluxen, Anja Hueser
article en
1 citations

Abstract

In dietary risk assessment of plant protection products, residues of active ingredients and their metabolites need to be evaluated for their genotoxic potential. The European Food Safety Authority recommend a tiered approach focussing assessment and testing on classes of similar chemicals. To characterise similarity, a matched molecular pairs approach has been developed and applied to datasests of sulphonylurea herbicides, strobilurins fungicides and α-chloroacetamide herbicides for which either Ames, chromosomal aberration or micronucleus test results are publicly available. The approach is exemplified with four case studies illustrating how matched molecular pairs analysis can be used to identify analogues that cover the structural domain of the chemical for which a data-gap exists. The method is a robust and reproducible approach to such read-across predictions, with the potential to reduce unnecessary testing.

Regulatory Toxicology and PharmacologyVol. 163
Syngenta (United Kingdom) (GB), Liverpool John Moores University (GB), Bayer (Germany) (DE)
Zero hunger
Openalex Percentile: Top 19%
Agricultural safety and regulations
1.16
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Matched molecular pairs-driven read-across for the prediction of genotoxicity of plant protection product residues — K. Bridgwood, Markus Frericks, et al. · Regulatory Toxicology and Pharmacology (2025) | TGRS Research Map | TGRS