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A validated algorithm for selecting non-toxic chemical concentrations.

Julita Stadnicka-Michalak1,2, Melanie Knöbel2, Anže Županič2

  • 1EPF Lausanne, School of Architecture, Civil and Environmental Engineering, Lausanne, Switzerland.

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|June 28, 2017
PubMed
Summary
This summary is machine-generated.

A new algorithm rationally determines the non-toxic concentration (NtC) of chemicals, offering a more protective threshold than existing methods. This approach enhances chemical safety assessments in toxicology and environmental science.

Keywords:
in vitrobioassaysanimal testing alternativesfish cell lines and embryostoxicology

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Area of Science:

  • Environmental toxicology and risk assessment.
  • Computational toxicology and bioinformatics.
  • Ecotoxicology and chemical safety evaluation.

Background:

  • Deriving maximal non-effect chemical concentrations is crucial in toxicology.
  • Current methods for determining these values are often ambiguous and subjective.
  • Existing approaches lack a standardized, data-driven methodology.

Purpose of the Study:

  • To develop a rational and tractable algorithm for selecting the non-toxic concentration (NtC) of chemicals.
  • To establish a standardized method for identifying chemical concentrations with minimal or no adverse effects.
  • To provide a more protective and reliable alternative to traditional toxicological endpoints.

Main Methods:

  • Developed an algorithm to identify the highest chemical concentration causing no more than 10% effect (EC10), incorporating confidence intervals and biological replicates.
  • Validated the algorithm using 91 dose-response experiments with fish cell lines and zebrafish embryos.
  • Conducted separate experiments to measure actual effects of derived NtCs on fish cell lines and zebrafish embryos.

Main Results:

  • The NtC algorithm identified chemical concentrations that were more protective than NOEC, NEC, EC10, and BMD.
  • Validation confirmed the algorithm's accuracy and reliability across different experimental setups.
  • The algorithm demonstrated applicability to various effect measurements, time points, and biological organization levels.

Conclusions:

  • The developed NtC algorithm provides a robust and objective method for determining safe chemical exposure levels.
  • This approach can be applied broadly across different toxicological systems and bioassays.
  • The algorithm is accessible as source code (Matlab, R) and a user-friendly online application, promoting wider adoption.