Inhibition of Neural Crest Cell Migration by Strobilurin Fungicides and Other Mitochondrial Toxicants

Viktoria Magel1, Jonathan Blum1, Xenia Dolde1

  • 1In Vitro Toxicology and Biomedicine, Dept Inaugurated by the Doerenkamp-Zbinden Foundation, University of Konstanz, 78464 Konstanz, Germany.

Cells
|January 8, 2025
PubMed

Insights

This study presents a validated procedure for evaluating toxicity screening hits using cell-based assays. It demonstrates a roadmap from initial screening to toxicological predictions for picoxystrobin, aiding next-generation risk assessment.

Area of Science:

  • Toxicology
  • Developmental Biology
  • Biochemistry

Background:

  • Cell-based assays are crucial for toxicity screening but lack validation and integration guidance for risk assessment.
  • Neural crest cells (NCCs) are sensitive to developmental toxicants, making them a valuable model.
  • Picoxystrobin, a strobilurin fungicide, inhibits mitochondrial complex III and is a potential developmental toxicant.

Purpose of the Study:

  • To present a procedure for validating cell-based toxicity screening hits and integrating data for risk assessment.
  • To exemplify this procedure with a case study on the developmental toxicity of picoxystrobin using NCCs.
  • To pave the way for next-generation risk assessment by bridging in vitro testing and in vivo predictions.

Main Methods:

  • Screening of environmental toxicants using the UKN2 assay for NCC migration and cytotoxicity.
  • Confirmatory testing and development of an adverse outcome pathway for picoxystrobin.
  • Mechanistic studies on oxygen consumption, migration inhibition, and biokinetic modeling for intracellular concentration prediction.
  • Physiologically based kinetic modeling to predict brain concentrations following oral intake.

Main Results:

  • Picoxystrobin specifically inhibited NCC migration and cytotoxicity in the UKN2 assay.
  • Inhibition of oxygen consumption occurred at sub-µM concentrations, and migration was inhibited at 100 nM.
  • Biokinetic modeling predicted brain concentrations of 0.1-1 µM at acceptable daily intake levels.
  • A margin of exposure ≥ 80 was calculated, indicating a low risk.

Conclusions:

  • The study provides a validated hit follow-up strategy for cell-based toxicity testing.
  • The developed procedure integrates in vitro hazard data with toxicokinetic modeling for robust risk assessment.
  • This approach contributes to the advancement of next-generation risk assessment methodologies.

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