Oral acute toxic class method: a successful alternative to the oral LD50 test.

The oral acute toxic class method (ATC method) was developed as an alternative to replace the oral LD50 test. The ATC method is a sequential testing procedure using only three animals of one sex per step at any of the defined dose levels. Depending on the mortality rate three but never more than six animals are used per dose level. This approach results in the reduction of numbers of animals used in comparison to the LD50 test by 40-70%. The principle of the oral ATC method is based on the Probit model and it was first evaluated on a biometric basis before a national and subsequently an international ring study were conducted. The results demonstrated an excellent agreement between the toxicity and the animal numbers predicted biometrically and observed in the validation studies. The oral ATC method was adopted as an official test guideline by OECD in 1996 and was slightly amended in 2001. The ATC method has been successfully used in Germany and in 2003 >85% of all tests on acute oral toxicity testing was conducted as oral ATC tests. In member states of the European Union the ATC method is used in the range of 50% of all tests conducted. Meanwhile the oral LD50 test has been deleted by OECD, by the European Union and by the USA, making the use of alternatives to the oral LD50 test mandatory.

Development and prevalidation of a list of structure-activity relationship rules to be used in expert systems for prediction of the skin-sensitising properties of chemicals.

The new European Union (EU) chemicals policy, as described in the White Paper entitled Strategy for a Future Chemicals Policy, has identified a need for computer-based tools suitable for predicting the hazardous properties of chemicals. Two sets of structural alerts (fragments of chemical structure) for the prediction of skin sensitisation hazard classification ("R43, may cause sensitisation by skin contact") have been drawn up, based on sensitising chemicals from a regulatory database (containing data for the EU notification of new chemicals). These alerts comprise 15 rules for chemical structures deemed to be sensitising by direct action of the chemicals with cells or proteins within the skin, and three rules for substructures that act indirectly, i.e. requiring chemical or biochemical transformation. The predictivity rates of the rules were found to be good (positive predictivity, 88%; false-positive rate, 1%; specificity, 99%; negative predictivity, 74%; false-negative rate, 80%; sensitivity, 20%). Because of the confidential nature of the regulatory database, the rules are supported by examples of sensitising chemicals taken from the "Allergenliste" now held by the Federal Institute for Risk Assessment (BfR) and the DEREK for Windows expert system. The rules were prevalidated against data not used for their development. As a result of the prevalidation study, it is proposed that the two sets of structural alerts should be taken forward for formal validation, with a view to incorporating them into regulatory guidelines.

Evaluation of a rule base for identifying contact allergens by using a regulatory database: Comparison of data on chemicals notified in the European Union with "structural alerts" used in the DEREK expert system.

To assess the suitability of the use of structural alerts to identify the skin-sensitising properties of chemicals, the 40 originally published structural alerts for the prediction of skin-sensitisation properties used by the DEREK system (which now contains 59 structural alerts), have been evaluated against a database developed in the German Federal Institute for Health Protection of Consumers and Veterinary Medicine (BgVV), which contains data submitted under the procedure for notifying new chemicals within the European Union. The evaluation of the 40 structural alerts used in DEREK revealed that eight of the 40 structural alerts for the prediction of skin-sensitising potential could be used without any further refinement. Ten structural alerts may need further specifications or refinements in order avoid false-positive predictions - proposals for refinement are discussed. Not enough substances were found within the BgVV database (containing data for more than 1000 substances) to evaluate ten of the DEREK substructures; hence, for these structural alerts, a judgement on their suitability for prediction of skin-sensitisation properties in expert systems is not possible. For 12 structural alerts, no comparative result could be obtained, because these rules did not "fire" for any of the examined chemicals. As a general result of the evaluation process, the approach of using structural alerts for the prediction of skin-sensitising properties of chemicals proved to be reliable. Proposals are given for a refinement of the structural alerts for prediction of contact allergy used in the DEREK system. In addition, advice and several preconditions are given, that apply when trying to teach a computer system to use structural alerts to predict toxicological properties.

Introduction of in vitro data into local irritation/corrosion testing strategies by means of SAR considerations: assessment of chemicals.

The European legislation on control and evaluation of chemicals requires hazard and risk assessment of chemicals for human health and the environment. Technical guidance on carrying out this assessment includes the use of information based on results of testing with animals and on results of alternatives to animal testing. Within regulatory risk assessment the use of in vitro data for hazard and risk classification purposes is in the very beginning, because in vitro results do not mirror the total of effects observed in standardised animal tests, and hence cannot be easily related to current regulatory classification criteria. In vitro tests aim at the detection of only a few aspects considered crucial for the formation of a very complex health hazard observed in vivo. Therefore, they need a clear definition of the toxicological questions they can answer and of the limits of their evidence with respect to meeting regulatory classification criteria. In order to enhance the use of in vitro results within the regulatory classification procedure, the Organisation for Economic Co-operation and Development (OECD) developed tiered testing and assessment strategies that combine in vitro results and structure-activity relationship (SAR) considerations.