P79
A chemical dataset for evaluation of alternative approaches to skin sensitization testing

Abstract

In recent years, the local lymph node assay (LLNA) has emerged as a practical option for assessing the skin sensitization potential of chemicals. In addition to accurate identification of skin sensitizers, the LLNA can also provide a reliable measure of relative sensitization potency; information that is pivotal in successful management of human health risks. However, even with the significant animal welfare benefits provided by the LLNA, there is interest still in the development of non‐animal test methods for skin sensitization. Here, we have collected a large dataset of chemicals that have been tested in the LLNA, and the activity of which correspond with what is known of their potential to cause skin sensitization in humans. It is anticipated that this will be of value to other investigators in the evaluation and calibration of novel approaches to skin sensitization testing, in particular for the development of in silico methods. Prerequisite for the development of in silico models is always the availability of a large high quality data set, suitable for modeling. This dataset encompasses both the chemical and biological diversity of known chemical allergens, and provides also examples of negative controls. The data are a collection of published and non‐proprietary industry data. All materials were tested in standard vehicules following the standard LLNA protocol. It is hoped that this dataset will accelerate the development, evaluation and eventual validation of new approaches to skin sensitization testing.