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Dose-response models for developmental malformations

D W Gaylor1, J J Chen

  • 1National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Arkansas 72079.

Teratology
|April 1, 1993
PubMed
Summary
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New dose-response models improve predictions of developmental malformations in rodents. These models incorporate biological growth principles, enhancing accuracy beyond experimental dose ranges for toxicant exposure assessments.

Area of Science:

  • Toxicology
  • Developmental Biology
  • Biostatistics

Background:

  • Empirical dose-response models are crucial for understanding toxicant effects on development.
  • Existing models often lack biological context, limiting extrapolation beyond tested doses.
  • Developmental malformations can arise from disruptions in normal fetal growth patterns.

Purpose of the Study:

  • To develop and evaluate novel dose-response models for developmental toxicity bioassays.
  • To integrate biological principles of fetal growth into mathematical modeling.
  • To improve the estimation of malformation incidence outside experimental dose ranges.

Main Methods:

  • Assumed exponential growth of rodent fetal structures during gestation.
  • Modeled malformations as a consequence of reduced or delayed growth.

Related Experiment Videos

  • Developed Weibull and polynomial-exponential dose-response functions based on fetal weight and growth rates.
  • Fit models to historical bioassay data from Teratology journals (1968-1990).

    • Main Results:

    • Both Weibull and polynomial-exponential models demonstrated similar performance in fitting bioassay data.
    • The models often yielded identical fits, suggesting robustness.
    • A linear term was present in the polynomial-exponential model in approximately 25% of cases, independent of background incidence.

    Conclusions:

    • The proposed biologically-informed dose-response models offer a refined approach to developmental toxicity assessment.
    • These models enhance the predictive power for toxicant effects across a wider range of exposures.
    • The integration of growth principles provides a more mechanistically grounded understanding of malformation induction.