Research perspectives for pre-screening alternatives to animal experimentation: on the relevance of cytotoxicity measurements, barrier passage determinations and high throughput screening in vitro to select potentially hazardous compounds in large sets of chemicals.

The MEIC study revealed a high predictivity of in vitro cytotoxicity data for human acute systemic toxicity. The idea, put forward by several authors, that compounds that show high cytotoxicity should not need further testing for confirmation but could be assumed toxic also in vivo provides a convenient concept for the selection of the most relevant compounds for further studies in large sets of chemicals, as in the REACH program. The automated techniques applied in high throughput screening (HTS) by the pharmaceutical and biotech industries to select hits in extensive compound collections represent an opportunity to significantly increase the capacity of cytotoxicity testing. Furthermore, it has been suggested that a combination of cytotoxicity data and some basic biokinetic information would greatly improve the accuracy in the extrapolation from in vitro to in vivo and thus make it possible to identify additional toxic compounds that might have escaped in the initial screen. Such information, which can be obtained in a medium throughput screening mode (MTS), includes biotransformation, absorption and some aspects of distribution. The measurement of the net flux of a compound over a cellular barrier, as the one formed in culture by human Caco-2 cells, gives useful, but limited, information on both gut absorption and blood-brain barrier penetration. The test procedures discussed here, as well as other supplementary in vitro tests, cannot always easily be described in terms of animal-based test replacements. In those instances, the necessary test validation cannot be carried out using animal reference data, and prediction models may have to be adapted to new ideas. Consequently, concepts of prospective validation to supplement the now well-established retrospective validation have to be developed.