Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Neurotoxicity modeling for risk assessment

R L Kodell1, J J Chen, D W Gaylor

  • 1Division of Biometry and Risk Assessment, Food and Drug Administration, Jefferson, Arkansas 72079, USA.

Regulatory Toxicology and Pharmacology : RTP
|August 1, 1995
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Nonlinearity and thresholds in dose-response relationships for carcinogenicity due to sampling variation, logarithmic dose scaling, or small differences in individual susceptibility.

Toxicology and applied pharmacology·2005
Same author

A mechanistic approach to modelling the risk of liver tumours in mice exposed to fumonisin B1 in the diet.

Food additives and contaminants·2001
Same author

A unified approach to risk characterization.

Inhalation toxicology·2001
Same author

Correlation of blood cholinesterase levels with toxicity of sarin in rats.

Journal of toxicology and environmental health. Part A·2001
Same author

Dose-response trend tests for tumorigenesis adjusted for differences in survival and body weight across doses.

Toxicological sciences : an official journal of the Society of Toxicology·2001
Same author

The use of Haber's law in standard setting and risk assessment.

Toxicology·2000

This study introduces a new quantitative method for assessing neurotoxicant exposure risks. It models non-quantal neurotoxic effects, offering a more precise alternative to traditional safety factors for setting acceptable exposure levels.

Area of Science:

  • Toxicology
  • Risk Assessment
  • Neuroscience

Background:

  • Traditional neurotoxicant risk assessment relies on No-Observed-Adverse-Effect Levels (NOAELs) divided by safety factors.
  • NOAELs are criticized for their imprecise definition and may not accurately reflect low-level exposure risks.
  • Existing methods lack a standardized approach for quantifying specific risk levels for non-quantal neurotoxic effects.

Purpose of the Study:

  • To present a quantitative modeling approach for non-quantal neurotoxic effects in risk assessment.
  • To provide a methodology for setting acceptable exposure levels for neurotoxicants.
  • To enable risk assessment outcomes comparable to those for carcinogenicity and developmental toxicity.

Main Methods:

  • Development of a quantitative modeling framework for non-quantal neurotoxic effects.

Related Experiment Videos

  • Focus on defining adverse neurological effects within the modeling process.
  • Application of the methodology to an experimental dataset for illustration.

    • Main Results:

    • The proposed quantitative approach can model non-quantal neurotoxic effects.
    • The methodology allows for risk assessment outcomes similar to established methods for carcinogenicity and developmental toxicity.
    • The study demonstrates the practical implementation of the quantitative approach using experimental data.

    Conclusions:

    • A quantitative modeling approach offers a more precise method for neurotoxicant risk assessment.
    • This methodology addresses limitations of traditional NOAEL-based approaches.
    • The defined process, including the critical step of defining adverse effects, facilitates improved risk management for neurotoxicants.