Literature DB >> 16283904

Predictive identification of human skin sensitization thresholds.

David A Basketter1, Catherine Clapp, Donna Jefferies, Bob Safford, Cindy A Ryan, Frank Gerberick, Rebecca J Dearman, Ian Kimber.   

Abstract

For years, methods have been available for the predictive identification of chemicals that possess the intrinsic potential to cause skin sensitization. However, many have proven less suitable for the determination of relative sensitizing potency. In this respect, the local lymph node assay (LLNA) has been shown to have a number of important advantages. Through interpolation of LLNA dose-response data, the concentration of a chemical required to produce a threshold positive response (a 3-fold increase in activity compared with concurrent vehicle controls, the EC3 value) can be measured. The robustness of this parameter has been demonstrated rigorously in terms of inter- and intralaboratory reproducibility. Additionally, the relationship between potency estimates from the LLNA and an appreciation of human potency based on clinical experience has been reported previously. In the present investigations, we have sought to consolidate further our understanding of the association between EC3 values and human skin-sensitization potency by undertaking a thorough and extensive analysis of existing human predictive assays, particularly where dose-response information is available, from historical human repeated insult patch tests (HRIPTs). From these human data, information on the approximate threshold for the induction of skin sensitization in the HRIPT was determined for 26 skin-sensitizing chemicals. These data were then compared with LLNA-derived EC3 values. The results from each assay, expressed as dose per unit area (microg/cm(2)), revealed a clear linear relationship between the 2 values, thereby substantiating further the utility of LLNA EC3 values for prediction of the relative human sensitizing potency of newly identified skin sensitizers.

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Year:  2005        PMID: 16283904     DOI: 10.1111/j.0105-1873.2005.00707.x

Source DB:  PubMed          Journal:  Contact Dermatitis        ISSN: 0105-1873            Impact factor:   6.600


  4 in total

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Authors:  J M Fitzpatrick; G Patlewicz
Journal:  SAR QSAR Environ Res       Date:  2017-04-20       Impact factor: 3.000

2.  Skin sensitization in silico protocol.

Authors:  Candice Johnson; Ernst Ahlberg; Lennart T Anger; Lisa Beilke; Romualdo Benigni; Joel Bercu; Sol Bobst; David Bower; Alessandro Brigo; Sarah Campbell; Mark T D Cronin; Ian Crooks; Kevin P Cross; Tatyana Doktorova; Thomas Exner; David Faulkner; Ian M Fearon; Markus Fehr; Shayne C Gad; Véronique Gervais; Amanda Giddings; Susanne Glowienke; Barry Hardy; Catrin Hasselgren; Jedd Hillegass; Robert Jolly; Eckart Krupp; Liat Lomnitski; Jason Magby; Jordi Mestres; Lawrence Milchak; Scott Miller; Wolfgang Muster; Louise Neilson; Rahul Parakhia; Alexis Parenty; Patricia Parris; Alexandre Paulino; Ana Theresa Paulino; David W Roberts; Harald Schlecker; Reinhard Stidl; Diana Suarez-Rodrigez; David T Szabo; Raymond R Tice; Daniel Urbisch; Anna Vuorinen; Brian Wall; Thibaud Weiler; Angela T White; Jessica Whritenour; Joerg Wichard; David Woolley; Craig Zwickl; Glenn J Myatt
Journal:  Regul Toxicol Pharmacol       Date:  2020-07-01       Impact factor: 3.271

3.  The LLNA: A Brief Review of Recent Advances and Limitations.

Authors:  Stacey E Anderson; Paul D Siegel; B J Meade
Journal:  J Allergy (Cairo)       Date:  2011-06-16

4.  Fragrances Categorized According to Relative Human Skin Sensitization Potency.

Authors:  Anne Marie Api; Rahul Parakhia; Devin OʼBrien; David A Basketter
Journal:  Dermatitis       Date:  2017 Sep/Oct       Impact factor: 4.845

  4 in total

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