Limitations and uncertainties of acute fish toxicity assessments can be reduced using alternative methods.

chemical safety acute fish toxicity animal test environmental toxicology alternative methods uncertainty

Journal

ALTEX
ISSN: 1868-8551
Titre abrégé: ALTEX
Pays: Germany
ID NLM: 100953980

Informations de publication

Date de publication:
2021
Historique:
received: 05 06 2020
accepted: 16 09 2020
entrez: 24 9 2020
pubmed: 25 9 2020
medline: 26 10 2021
Statut: ppublish

Résumé

Information about acute fish toxicity is routinely required in many jurisdictions for environmental risk assessment of chem­icals. This information is typically obtained using a 96-hour juvenile fish test for lethality according to OECD test guideline (TG) 203 or equivalent regional guidelines. However, TG 203 has never been validated using the criteria currently required for new test methods including alternative methods. Characterization of the practicality and validity of TG 203 is important to provide a benchmark for alternative methods. This contribution systematically summarizes the available knowledge on limitations and uncertainties of TG 203, based on methodological, statistical, and biological consider­ations. Uncertainties stem from the historic flexibility (e.g., use of a broad range of species) and constraints of the basic test design (e.g., no replication). Other sources of uncertainty arise from environmental safety extrapolation based on TG 203 data. Environmental extrapolation models, combined with data from alternative methods, including mechanistic indicators of toxicity, may provide at least the same level of environmental protection. Yet, most importantly, the 3R advan­tages of alternative methods allow a better standardization, characterization, and an improved basic study design. This can enhance data reliability and thus facilitate the comparison of chemical toxicity, as well as the environmental classifi­cations and prediction of no-effect concentrations of chemicals. Combined with the 3R gains and the potential for higher throughput, a reliable assessment of more chemicals can be achieved, leading to improved environmental protection.

Identifiants

pubmed: 32970822
doi: 10.14573/altex.2006051
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20-32

Auteurs

Martin Paparella (M)

Division of Medical Biochemistry, Medical University Innsbruck, Innsbruck, Austria.

Stefan Scholz (S)

UFZ - Helmholtz Centre for Environmental Research, Department of Bioanalytical Ecotoxicology, Leipzig, Germany.

Scott Belanger (S)

The Procter and Gamble Company, Cincinnati, OH, USA.

Thomas Braunbeck (T)

Aquatic Ecology & Toxicology, University of Heidelberg, INF 504, Heidelberg, Germany.

Pascal Bicherel (P)

Knowledge & Research in Environment and Toxicology in Silico (KREATiS), L'Isle d'Abeau, France.

Kristin Connors (K)

The Procter and Gamble Company, Cincinnati, OH, USA.

Christopher Faßbender (C)

PETA International Science Consortium Ltd., London, United Kingdom.

Marlies Halder (M)

European Commission, Joint Research Centre, Ispra, Italy.

Adam Lillicrap (A)

Norwegian Institute for Water Research (NIVA), Oslo, Norway.

Roman Liska (R)

European Commission, Joint Research Centre, Ispra, Italy.

Kristin Schirmer (K)

Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
EPF Lausanne, School of Architecture, Civil and Environmental Engineering, Lausanne, Switzerland.
ETH Zürich, Department of Environmental Systems Science, Zürich, Switzerland.

Gilly Stoddart (G)

PETA International Science Consortium Ltd., London, United Kingdom.

Paul Thomas (P)

Knowledge & Research in Environment and Toxicology in Silico (KREATiS), L'Isle d'Abeau, France.

Susanne Walter-Rohde (S)

German Environment Agency (UBA), Dessau-Roßlau, Germany.

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Classifications MeSH