Abstract

The key aim of this paper is to suggest a more quantitative approach to designing a dose–response experiment, and more specifically, a concentration–response experiment. The work proposes a departure from the traditional experimental design to determine a dose–response relationship in a developmental toxicology study. It is proposed that a model-based approach to determine a dose–response relationship can provide the most accurate statistical inference for the underlying parameters of interest, which may be estimating one or more model parameters or pre-specified functions of the model parameters, such as lethal dose, at maximal efficiency. When the design criterion or criteria can be determined at the onset, there are demonstrated efficiency gains using a more carefully selected model-based optimal design as opposed to an ad-hoc empirical design. As an illustration, a model-based approach was theoretically used to construct efficient designs for inference in a developmental toxicity study of sea urchin embryos exposed to trimethoprim. This study compares and contrasts the results obtained using model-based optimal designs versus an ad-hoc empirical design.

Highlights

  • A fundamental concept in toxicology is the dose–response relationship

  • The columns in the table include the dose of trimethoprim, the total number of embryos/plutei examined (N), number of normal plutei, number of embryos with early embryonic developmental arrest/death (EDA/D), and aboral radialization (Radial: Ab)

  • In this sea urchin developmental toxicity study, concentration–response relationships were established for trimethoprim and two developmental outcomes, namely aboral radialization and embryonic developmental arrest/death

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Summary

Introduction

A fundamental concept in toxicology is the dose–response relationship. An initial step in understanding the biological effects of a chemical compound on any organism is the establishment of a dose–response relationship to provide doses of the compound that can be used in subsequent toxicological assessments. Toxicologists frequently use empirical approaches to determine the various dose parameters (e.g., dose levels, spacing, and number of observations per dose) used to experimentally determine a dose–response curve, there are more systematic mathematical approaches of determining the appropriate doses that can yield a reduction in the variance of the relationship. In this era of systems biology where there is an emphasis on providing comprehensive systematic analyses of biological parameters, perhaps, a more systematic approach for establishing dose–response relationships may be warranted.

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