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Prioritization of contaminants and biological process targets in the North Sea using toxicity data from ToxCast
Barbosa, J.; De Schamphelaere, K.; Janssen, C.; Asselman, J. (2021). Prioritization of contaminants and biological process targets in the North Sea using toxicity data from ToxCast. Sci. Total Environ. 758: 144157. https://hdl.handle.net/10.1016/j.scitotenv.2020.144157
In: Science of the Total Environment. Elsevier: Amsterdam. ISSN 0048-9697; e-ISSN 1879-1026, meer
Peer reviewed article  

Beschikbaar in  Auteurs 

Trefwoord
    Marien
Author keywords
    North Sea; Chemical pollution; ToxCast; Prioritization strategy

Auteurs  Top 
  • Barbosa, J., meer
  • De Schamphelaere, K., meer
  • Janssen, C., meer
  • Asselman, J., meer

Abstract
    The increasing number of chemicals detected in the marine environment underlines the need for appropriate prioritization strategies prior to further testing and potential inclusion into monitoring programs. Here, a prioritization strategy is proposed for chemicals detected in the North Sea over the last decade, through the development of a Concern Index (CI) using exposure and toxicity data obtained from peer-review publications and the ToxCast database, respectively. A total of 158 chemicals were ranked and the most sensitive tested assay endpoints were identified. Additionally, similar analysis was performed for the classes of chemicals and Biological Process Targets (BPTs). By first ranking chemicals currently acknowledged for their high toxicity to the aquatic environment, i.e. naphthalene, salicylic acid and simazine, the obtained results not only reinforce the risk posed by these but also promote a confident extrapolation from mammalian in vitro toxicity data to fish. Furthermore, genes targeted by the most sensitive assays, related to basic cell maintenance processes and immune defense, are highly evolutionarily conserved across species. The identification of these assays further reinforces the importance of a shift from traditional toxicity endpoints to lower levels of biological organization, allowing the detection of adverse effects at lower concentrations.

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