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Further evaluation of quantitative structure–activity relationship models for the prediction of the skin sensitization potency of selected fragrance allergens
Author(s) -
Patlewicz Grace Y.,
Basketter David A.,
Smith Pease Camilla K.,
Wilson Karen,
Wright Zoe M.,
Roberts David W.,
Bernard Guillaume,
Arnau Elena Giménez,
Lepoittevin JeanPierre
Publication year - 2004
Publication title -
contact dermatitis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.524
H-Index - 96
eISSN - 1600-0536
pISSN - 0105-1873
DOI - 10.1111/j.0105-1873.2004.00322.x
Subject(s) - local lymph node assay , quantitative structure–activity relationship , skin sensitization , sensitization , potency , allergic contact dermatitis , chemistry , allergy , medicine , stereochemistry , immunology , biochemistry , in vitro
Fragrance substances represent a very diverse group of chemicals; a proportion of them are associated with the ability to cause allergic reactions in the skin. Efforts to find substitute materials are hindered by the need to undertake animal testing for determining both skin sensitization hazard and potency. One strategy to avoid such testing is through an understanding of the relationships between chemical structure and skin sensitization, so‐called structure–activity relationships. In recent work, we evaluated 2 groups of fragrance chemicals – saturated aldehydes and α,β‐unsaturated aldehydes. Simple quantitative structure–activity relationship (QSAR) models relating the EC3 values [derived from the local lymph node assay (LLNA)] to physicochemical properties were developed for both sets of aldehydes. In the current study, we evaluated an additional group of carbonyl‐containing compounds to test the predictive power of the developed QSARs and to extend their scope. The QSAR models were used to predict EC3 values of 10 newly selected compounds. Local lymph node assay data generated for these compounds demonstrated that the original QSARs were fairly accurate, but still required improvement. Development of these QSAR models has provided us with a better understanding of the potential mechanisms of action for aldehydes, and hence how to avoid or limit allergy. Knowledge generated from this work is being incorporated into new/improved rules for sensitization in the expert toxicity prediction system, deductive estimation of risk from existing knowledge (DEREK).