Assessment of an automated in vitro basal cytotoxicity test system based on metabolically-competent cells.

When in vitro test systems are evaluated for assessment of the toxicity of chemical compounds, particular efforts are made to mimic the in vivo reality as close as possible. Cellular models with appropriate metabolic competence, i.e. with the potency to biotransform chemical compounds, are considered crucial since some metabolites have a different toxicity than their parent compounds. In this study a cell based in vitro test system is proposed to investigate the basal cytotoxicity of several reference chemicals. Both metabolic competent HepaRG cells and cells with no or low hepatic enzyme activity (undifferentiated HepaRG and proliferating HepG2) were used. The classic Neutral Red Uptake (NRU) assay proved to be robust and reliable to be applied as viability assay. The test was performed on a robotic platform, which enabled fully automated and simultaneous screening of the compounds. The outcome of these tests grouped the tested compounds in three categories following their detoxification effect (benzo(a)pyrene, valproic acid), their bio-activation effect (aflatoxin B1) and their specific effect on inhibition of cell proliferation (cycloheximide, sodium lauryl sulphate, atropine sulphate monohydrate, acetylsalicylic acid).

Automation of an in vitro cytotoxicity assay used to estimate starting doses in acute oral systemic toxicity tests.

Application of High Throughput Screening (HTS) to the regulatory safety assessment of chemicals is still in its infancy but shows great promise in terms of facilitating better understanding of toxicological modes-of-action, reducing the reliance on animal testing, and allowing more data-poor chemicals to be assessed at a reasonable cost. To promote the uptake and acceptance of HTS approaches, we describe in a stepwise manner how a well known cytotoxicity assay can be automated to increase throughput while maintaining reliability. Results generated with selected reference chemicals compared very favourably with data obtained from a previous international validation study concerning the prediction of acute systemic toxicity in rodents. The automated assay was then included in a formal ECVAM validation study to determine if the assay could be used for binary classification of chemicals with respect to their acute oral toxicity, using a threshold equivalent to a dose of 2000 mg/kg b.w. in a rodent bioassay (LD50). This involved the blind-testing of 56 reference chemicals on the HTS platform to produce concentration-response and IC50 data. Finally, the assay was adapted to a format more suited to higher throughput testing without compromising the quality of the data obtained.