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An ecotoxicological view on neurotoxicity assessment
Institute for Environmental Research, Department of Ecosystem Analysis, ABBt–Aachen Biology and Biotechnology, RWTH Aachen University, Aachen, Germany; Environment and Health, VU University, Amsterdam, Netherlands.
Institute for Environmental Research, Department of Ecosystem Analysis, ABBt–Aachen Biology and Biotechnology, RWTH Aachen University, Aachen, Germany.
FAME-Freshwater and Marine Ecology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, Netherlands.
FAME-Freshwater and Marine Ecology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, Netherlands.
Vise andre og tillknytning
2018 (engelsk)Inngår i: Environmental Sciences Europe, ISSN 2190-4707, E-ISSN 2190-4715, Vol. 30, artikkel-id 46Artikkel, forskningsoversikt (Fagfellevurdert) Published
Abstract [en]

The numbers of potential neurotoxicants in the environment are raising and pose a great risk for humans and the environment. Currently neurotoxicity assessment is mostly performed to predict and prevent harm to human populations. Despite all the efforts invested in the last years in developing novel in vitro or in silico test systems, in vivo tests with rodents are still the only accepted test for neurotoxicity risk assessment in Europe. Despite an increasing number of reports of species showing altered behaviour, neurotoxicity assessment for species in the environment is not required and therefore mostly not performed. Considering the increasing numbers of environmental contaminants with potential neurotoxic potential, eco-neurotoxicity should be also considered in risk assessment. In order to do so novel test systems are needed that can cope with species differences within ecosystems. In the field, online-biomonitoring systems using behavioural information could be used to detect neurotoxic effects and effect-directed analyses could be applied to identify the neurotoxicants causing the effect. Additionally, toxic pressure calculations in combination with mixture modelling could use environmental chemical monitoring data to predict adverse effects and prioritize pollutants for laboratory testing. Cheminformatics based on computational toxicological data from in vitro and in vivo studies could help to identify potential neurotoxicants. An array of in vitro assays covering different modes of action could be applied to screen compounds for neurotoxicity. The selection of in vitro assays could be guided by AOPs relevant for eco-neurotoxicity. In order to be able to perform risk assessment for eco-neurotoxicity, methods need to focus on the most sensitive species in an ecosystem. A test battery using species from different trophic levels might be the best approach. To implement eco-neurotoxicity assessment into European risk assessment, cheminformatics and in vitro screening tests could be used as first approach to identify eco-neurotoxic pollutants. In a second step, a small species test battery could be applied to assess the risks of ecosystems.

sted, utgiver, år, opplag, sider
Springer, 2018. Vol. 30, artikkel-id 46
Emneord [en]
Eco-neurotoxicity, Neurotoxicity, EDA, REACH, AOP, Behaviour, Computational toxicity, Ecological, Species
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Identifikatorer
URN: urn:nbn:se:oru:diva-71139DOI: 10.1186/s12302-018-0173-xISI: 000453261000001Scopus ID: 2-s2.0-85058931720OAI: oai:DiVA.org:oru-71139DiVA, id: diva2:1276574
Merknad

Funding Agencies:

Federal Ministry of Education and Research (BMBF)  

Norman Network  

Dutch Water companies  BTO2018-2023 

SOLUTIONS project (European Union)  603437 

Tilgjengelig fra: 2019-01-08 Laget: 2019-01-08 Sist oppdatert: 2019-01-08bibliografisk kontrollert

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