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Modeling for Risk Assessment of Neurotoxic Effects

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  • David W. Gaylor
  • William Slikker

Abstract

The regulation of noncancer toxicants, including neurotoxicants, has usually been based upon a reference dose (allowable daily intake). A reference dose is obtained by dividing a no‐observed‐effect level by uncertainty (safety) factors to account for intraspecies and interspecies sensitivities to a chemical. It is assumed that the risk at the reference dose is negligible, but no attempt generally is made to estimate the risk at the reference dose. A procedure is outlined that provides estimates of risk as a function of dose. The first step is to establish a mathematical relationship between a biological effect and the dose of a chemical. Knowledge of biological mechanisms and/or pharmacokinetics can assist in the choice of plausible mathematical models. The mathematical model provides estimates of average responses as a function of dose. Secondly, estimates of risk require selection of a distribution of individual responses about the average response given by the mathematical model. In the case of a normal or lognormal distribution, only an estimate of the standard deviation is needed. The third step is to define an adverse level for a response so that the probability (risk) of exceeding that level can be estimated as a function of dose. Because a firm response level often cannot be established at which adverse biological effects occur, it may be necessary to at least establish an abnormal response level that only a small proportion of individuals would exceed in an unexposed group. That is, if a normal range of responses can be established, then the probability (risk) of abnormal responses can be estimated. In order to illustrate this process, measures of the neurotransmitter serotonin and its metabolite 5‐hydroxyindoleacetic acid in specific areas of the brain of rats and monkeys are analyzed after exposure to the neurotoxicant methylene‐dioxymethamphetamine. These risk estimates are compared with risk estimates from the quantal approach in which animals are classified as either abnormal or not depending upon abnormal serotonin levels.

Suggested Citation

  • David W. Gaylor & William Slikker, 1994. "Modeling for Risk Assessment of Neurotoxic Effects," Risk Analysis, John Wiley & Sons, vol. 14(3), pages 333-338, June.
    • Handle: RePEc:wly:riskan:v:14:y:1994:i:3:p:333-338
    DOI: 10.1111/j.1539-6924.1994.tb00249.x
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    References listed on IDEAS

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    1. Carole A. Kimmel & David W. Gaylor, 1988. "Issues in Qualitative and Quantitative Risk Analysis for Developmental Toxicology," Risk Analysis, John Wiley & Sons, vol. 8(1), pages 15-20, March.
    2. Ralph L. Kodell & Ronnie W. West, 1993. "Upper Confidence Limits on Excess Risk for Quantitative Responses," Risk Analysis, John Wiley & Sons, vol. 13(2), pages 177-182, April.
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    1. David W. Gaylor & William Slikker, 2004. "Role of the Standard Deviation in the Estimation of Benchmark Doses with Continuous Data," Risk Analysis, John Wiley & Sons, vol. 24(6), pages 1683-1687, December.

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