Neurotoxicity in complex environmental mixtures-a case-study at River Danube in Novi Sad (Serbia) using zebrafish embryos.


Journal

Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769

Informations de publication

Date de publication:
Sep 2023
Historique:
received: 02 05 2022
accepted: 01 08 2023
medline: 8 9 2023
pubmed: 11 8 2023
entrez: 11 8 2023
Statut: ppublish

Résumé

Acetylcholinesterase (AChE) inhibitors are an important class of neuroactive chemicals that are often detected in aquatic and terrestrial environments. The correct functionality of the AChE enzyme is linked to many important physiological processes such as locomotion and respiration. Consequently, it is necessary to develop new analytical strategies to identify harmful AChE inhibitors in the environment. It has been shown that mixture effects and oxidative stress may jeopardize the application of in vivo assays for the identification of AChE inhibitors in the environment. To confirm that in vivo AChE assays can be successfully applied when dealing with complex mixtures, an extract from river water impacted by non-treated wastewater was bio-tested using the acute toxicity fish embryo test (FET) and AChE inhibition assay with zebrafish. The zebrafish FET showed high sensitivity for the extract (LC10 = relative extraction factor 2.8) and we observed a significant inhibition of the AChE (40%, p < 0.01) after 4-day exposure. Furthermore, the extract was chromatographically fractionated into a total of 26 fractions to dilute the mixture effect and separate compounds according to their physico-chemical properties. As expected, non-specific acute effects (i.e., mortality) disappeared or evenly spread among the fractions, while AChE inhibition was still detected in five fractions. Chemical analysis did not detect any known AChE inhibitors in these active fractions. These results confirm that the AChE assay with Danio rerio can be applied for the detection of neuroactive effects induced in complex environmental samples, but also, they highlight the need to increase analytical and identification techniques for the detection of neurotoxic substances.

Identifiants

pubmed: 37566323
doi: 10.1007/s11356-023-29186-1
pii: 10.1007/s11356-023-29186-1
pmc: PMC10482774
doi:

Substances chimiques

Acetylcholinesterase EC 3.1.1.7
Water Pollutants, Chemical 0
Cholinesterase Inhibitors 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

96138-96146

Subventions

Organisme : European Union
ID : 603437
Organisme : German Ministry of Education and Research
ID : FKZ 02WRS1419E and 02WRS1419C

Informations de copyright

© 2023. The Author(s).

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Auteurs

Riccardo Massei (R)

Department of Bioanalytical Ecotoxicology, UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany. riccardo.massei@ufz.de.
Department of Monitoring and Exploration Technologies, UFZ-Helmholtz Centre for Environmental Research , Leipzig, Germany. riccardo.massei@ufz.de.

Werner Brack (W)

Department of Effect-Directed Analysis, UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany.
Department of Evolutionary Ecology and Environmental Toxicology, Faculty of Biological Sciences, Goethe University Frankfurt, Frankfurt, Germany.

Sven Seidensticker (S)

LUFA Nord-West, Institut für Lebensmittelqualität, Oldenburg, Germany.

Henner Hollert (H)

Department of Evolutionary Ecology and Environmental Toxicology, Faculty of Biological Sciences, Goethe University Frankfurt, Frankfurt, Germany.

Melis Muz (M)

Department of Effect-Directed Analysis, UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany.

Tobias Schulze (T)

Department of Effect-Directed Analysis, UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany.

Martin Krauss (M)

Department of Effect-Directed Analysis, UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany.

Eberhard Küster (E)

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

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Classifications MeSH