Abstract

A mechanism can be defined as an explanation of an observed phenomenon that explains the processes underlying the phenomenon in terms of events at lower levels of organization. A prerequisite for new, more mechanistic, approaches, which would use in vitro systems rather than conventional animal analogy models, is a strengthening of the underlying scientific basis of toxicity testing. This will require greater recognition of the differences between fidelity and discrimination models and between analogy and correlation models. The development of high-fidelity, high-discrimination tests with a sound mechanistic basis will also require greater appreciation of the interdependence of all the components of test systems and the development of new alternative (i.e., nonanimal) testing strategies that can provide the specific knowledge needed for making relevant and reliable predictions about the potential effects of chemicals and products in human beings. The optimal use of this new knowledge will require fundamental changes to current practices in risk assessment.

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