Literature DB >> 30626776

Sensitivity of KeratinoSensTM and h-CLAT for detecting minute amounts of sensitizers to evaluate botanical extract.

Taku Nishijo1, Masaaki Miyazawa1, Kazutoshi Saito1, Yuki Otsubo1, Hideyuki Mizumachi1, Hitoshi Sakaguchi1.   

Abstract

Cosmetic ingredients are often complex mixtures from natural sources such as botanical extracts that might contain minute amounts of constituents with sensitizing potential. The sensitivity of in vitro skin sensitization test methods such as KeratinoSensTM and h-CLAT for the detection of minute amounts of sensitizer in mixtures remains unclear. In this study, we assessed the detection sensitivity of the binary test battery comprising KeratinoSensTM and h-CLAT for minute amounts of sensitizers by comparing the LLNA EC3 (estimated concentration of a substance expected to produce a stimulation index of 3) values to the minimum detection concentrations (MDCs) exceeding the positive criteria for each of the two in vitro test methods. 146 sensitizers with both sets of in vitro data and LLNA data were used. MDC values for KeratinoSensTM and h-CLAT were calculated from exposure concentrations exceeding positive criteria for each in vitro test method (EC1.5 and minimum induction thresholds, respectively). The dilution rate used to expose culture medium was also considered. For 86% of analyzed sensitizers, the in vitro test methods showed MDC values lower than LLNA EC3 values, suggesting that the binary test battery with KeratinoSensTM and h-CLAT have greater sensitivity for detection of minute amounts of sensitizer than LLNA. These results suggest the high applicability of KeratinoSensTM and h-CLAT for detecting skin sensitizing constituents present in botanical extract.

Entities:  

Keywords:  Botanical extract; Detection limit; KeratinoSensTM; LLNA; Skin sensitization; h-CLAT

Mesh:

Substances:

Year:  2019        PMID: 30626776     DOI: 10.2131/jts.44.13

Source DB:  PubMed          Journal:  J Toxicol Sci        ISSN: 0388-1350            Impact factor:   2.196


  2 in total

1.  Evaluating Confidence in Toxicity Assessments Based on Experimental Data and In Silico Predictions.

Authors:  Candice Johnson; Lennart T Anger; Romualdo Benigni; David Bower; Frank Bringezu; Kevin M Crofton; Mark T D Cronin; Kevin P Cross; Magdalena Dettwiler; Markus Frericks; Fjodor Melnikov; Scott Miller; David W Roberts; Diana Suarez-Rodriguez; Alessandra Roncaglioni; Elena Lo Piparo; Raymond R Tice; Craig Zwickl; Glenn J Myatt
Journal:  Comput Toxicol       Date:  2021-11-08

2.  Evaluation of the Skin-Sensitizing Potential of Brazilian Green Propolis.

Authors:  Erina Shiraishi; Keishi Ishida; Daisuke Matsumaru; Akiko Ido; Youhei Hiromori; Hisamitsu Nagase; Tsuyoshi Nakanishi
Journal:  Int J Mol Sci       Date:  2021-12-17       Impact factor: 5.923

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.