کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5561150 | 1562115 | 2017 | 41 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Binary test battery with KeratinoSens⢠and h-CLAT as part of a bottom-up approach for skin sensitization hazard prediction
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم محیط زیست
بهداشت، سم شناسی و جهش زایی
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چکیده انگلیسی
Skin sensitization is one of the key safety endpoints for chemicals applied directly to the skin. Several integrated testing strategies (ITS) using multiple non-animal test methods have been developed to accurately evaluate the sensitizing potential of chemicals, but there is no regulatory-accepted ITS to classify a chemical as a non-sensitizer. In this study, the predictive performance of a binary test battery with KeratinoSens⢠and h-CLAT compared to the local lymph node assay (LLNA) and human data was examined using comprehensive dataset of 203 chemicals. When two negative results indicate a non-sensitizer, the binary test battery provided sensitivity of 93.4% or 94.4% compared with the LLNA or human data. Taking into account the predictive limitations (i.e. high log Kow, pre-/pro-haptens and acyl transfer agents (or amine-reactive)), the binary test battery had extremely high sensitivity comparable to that of the 3 out of 3 ITS where three negative results of the DPRA, KeratinoSens⢠and h-CLAT indicate a non-sensitizer. Therefore, the data from KeratinoSens⢠or h-CLAT may provide partly redundant information on the molecular initiating event derived from DPRA. Taken together, the binary test battery of KeratinoSens⢠and h-CLAT could be used as part of a bottom-up approach for skin sensitization hazard prediction.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Regulatory Toxicology and Pharmacology - Volume 88, August 2017, Pages 118-124
Journal: Regulatory Toxicology and Pharmacology - Volume 88, August 2017, Pages 118-124
نویسندگان
Yuki Otsubo, Taku Nishijo, Masaaki Miyazawa, Kazutoshi Saito, Hideyuki Mizumachi, Hitoshi Sakaguchi,