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Quantitative methods for cross-species mapping (CSM).

V A Benignus1, W K Boyes, H K Hudnell

  • 1U.S. Environmental Protection Agency, Human Studies Division, Research Triangle Park, NC 27711.

Neuroscience and Biobehavioral Reviews
|January 1, 1991
PubMed
Summary
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Cross-species mapping (CSM) validates extrapolation methods by comparing predictions between species with empirical data. This study presents a quantitative method for developing CSM equations and estimating prediction confidence intervals, aiding experimental design.

Area of Science:

  • Pharmacology
  • Toxicology
  • Comparative Physiology

Background:

  • Cross-species extrapolation predicts biological effects in one species based on data from another.
  • Cross-species mapping (CSM) involves empirical verification of these predictions, serving as a validation method for extrapolation techniques.
  • Current CSM algorithms lack standardized quantitative frameworks for equation construction and confidence interval estimation.

Purpose of the Study:

  • To introduce a quantitative methodology for constructing Cross-species mapping (CSM) equations.
  • To provide a framework for evaluating CSM methods and guiding the design of future cross-species extrapolation experiments.
  • To enable the derivation of approximate confidence limits for CSM predictions.

Main Methods:

Related Experiment Videos

  • Fitting mathematical models to physiological or behavioral phenomena within individual species.
  • Deriving Cross-species mapping (CSM) equations from species-specific models.
  • Calculating approximate confidence limits for predictions generated by the CSM equations.

    • Main Results:

    • The proposed quantitative method facilitates the construction of CSM equations.
    • The methodology allows for the estimation of confidence intervals around CSM predictions.
    • The approach remains effective even when underlying physiological or behavioral models differ between species.

    Conclusions:

    • The developed quantitative method offers a valuable tool for Cross-species mapping (CSM) evaluation and experimental design.
    • This approach aids in understanding inter-species differences and improving the reliability of extrapolation.
    • Further research is needed to address remaining uncertainties and potential challenges associated with the proposed method.