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

G. Frank Gerberick, Cindy A. Ryan, Petra S. Kern, Rebecca J. Dearman, Ian Kimber, Grace Y. Patlewicz, David A. Basketter

    Research output: Contribution to journalArticlepeer-review


    Allergic contact dermatitis resulting from skin sensitization is a common occupational and environmental health problem. 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 provide a 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. The materials that comprise this dataset encompass both the chemical and biological diversity of known chemical allergens and provide also examples of negative controls. It is hoped that this dataset will accelerate the development, evaluation and eventual validation of new approaches to skin-sensitization testing. © Blackwell Munksgaard 2004.
    Original languageEnglish
    Pages (from-to)274-288
    Number of pages14
    JournalContact dermatitis
    Issue number5
    Publication statusPublished - May 2004


    • Allergen replacement
    • Allergens
    • Risk assessment
    • Skin sensitization


    Dive into the research topics of 'A chemical dataset for evaluation of alternative approaches to skin-sensitization testing'. Together they form a unique fingerprint.

    Cite this