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Addressing the challenges of acute toxicity hazard classification using a non-animal defined approach.

Authors :
Macmillan DS
Ambure P
Aranda V
Bayona Y
Bonderovic V
Dawick J
Fabre N
Fischer S
Hodges G
Llobet-Mut Á
Loisel-Joubert S
Rivetti C
Roberts J
Schirmer K
Serrano-Candelas E
Serrano Ramón B
Stackhouse RA
Source :
Environmental toxicology and chemistry [Environ Toxicol Chem] 2025 Feb 12. Date of Electronic Publication: 2025 Feb 12.
Publication Year :
2025
Publisher :
Ahead of Print

Abstract

Acute fish toxicity is an ecotoxicological endpoint which provides important information about a chemical's potential to elicit adverse effect(s) on fish. These effects are typically studied using in vivo tests but for animal welfare reasons as well as the quest for increased species relevance, biological coverage, mechanistic understanding of effects and throughput, there have been significant efforts in recent years to reduce or replace the use of animals in (eco)toxicological hazard assessment, by developing defined approaches (DA) or integrated approaches to testing and assessment (IATA). To this end, a novel score-based DA has been developed, which integrates three in silico predictions from freely available (Q)SARs: the VEGA Fish (KNN-Read-Across) and Fathead Minnow (KNN-IRFMN) models and the United States Environmental Protection Agency (USEPA) ECOSAR Fish 96-h LC50 model, along with in vitro RTgill-W1 data. The DA provides a categorical output aligned with the United Nations Globally Harmonized System of Classification and Labelling (GHS) framework (Acute Category 1, Acute Category 2, Acute Category 3 or Not Classified) with an overall accuracy of 80%, offering a reliable alternative to traditional in vivo testing methods for acute fish toxicity.<br /> (© The Author(s) 2025. Published by Oxford University Press on behalf of the Society of Environmental Toxicology and Chemistry.)

Details

Language :
English
ISSN :
1552-8618
Database :
MEDLINE
Journal :
Environmental toxicology and chemistry
Publication Type :
Academic Journal
Accession number :
39937217
Full Text :
https://doi.org/10.1093/etojnl/vgaf046