Applicability of ADRA (4 mM) for the prediction of skin sensitization by combining multiple alternative methods to evaluate key events

Author(s):  
Mika Imamura ◽  
Yusuke Yamamoto ◽  
Masaharu Fujita ◽  
Sayaka Wanibuchi ◽  
Natsumi Nakashima ◽  
...  
2019 ◽  
Vol 44 (9) ◽  
pp. 585-600 ◽  
Author(s):  
Yusuke Yamamoto ◽  
Masaharu Fujita ◽  
Sayaka Wanibuchi ◽  
Ayako Sato ◽  
Miyuki Akimoto ◽  
...  

2018 ◽  
Vol 295 ◽  
pp. S120
Author(s):  
E. Clouet ◽  
C. Raffalli ◽  
M.-H. Damiens ◽  
M. Pallardy ◽  
P.-J. Ferret ◽  
...  

2019 ◽  
Vol 93 (4) ◽  
pp. 941-951
Author(s):  
Elodie Clouet ◽  
Rami Bechara ◽  
Chloé Raffalli ◽  
Marie-Hélène Damiens ◽  
Hervé Groux ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Giang Huong Ta ◽  
Ching-Feng Weng ◽  
Max K. Leong

Skin direct contact with chemical or physical substances is predisposed to allergic contact dermatitis (ACD), producing various allergic reactions, namely rash, blister, or itchy, in the contacted skin area. ACD can be triggered by various extremely complicated adverse outcome pathways (AOPs) remains to be causal for biosafety warrant. As such, commercial products such as ointments or cosmetics can fulfill the topically safe requirements in animal and non-animal models including allergy. Europe, nevertheless, has banned animal tests for the safety evaluations of cosmetic ingredients since 2013, followed by other countries. A variety of non-animal in vitro tests addressing different key events of the AOP, the direct peptide reactivity assay (DPRA), KeratinoSens™, LuSens and human cell line activation test h-CLAT and U-SENS™ have been developed and were adopted in OECD test guideline to identify the skin sensitizers. Other methods, such as the SENS-IS are not yet fully validated and regulatorily accepted. A broad spectrum of in silico models, alternatively, to predict skin sensitization have emerged based on various animal and non-animal data using assorted modeling schemes. In this article, we extensively summarize a number of skin sensitization predictive models that can be used in the biopharmaceutics and cosmeceuticals industries as well as their future perspectives, and the underlined challenges are also discussed.


Dermatitis ◽  
2005 ◽  
Vol 16 (04) ◽  
pp. 157 ◽  
Author(s):  
G. Frank Gerberick ◽  
Cindy A. Ryan ◽  
Petra S. Kern ◽  
Harald Schlatter ◽  
Rebecca J. Dearman ◽  
...  

2019 ◽  
Vol 20 (3) ◽  
pp. 666 ◽  
Author(s):  
Gunilla Grundström ◽  
Carl Borrebaeck

There is an increasing demand for alternative in vitro methods to replace animal testing, and, to succeed, new methods are required to be at least as accurate as existing in vivo tests. However, skin sensitization is a complex process requiring coordinated and tightly regulated interactions between a variety of cells and molecules. Consequently, there is considerable difficulty in reproducing this level of biological complexity in vitro, and as a result the development of non-animal methods has posed a major challenge. However, with the use of a relevant biological system, the high information content of whole genome expression, and comprehensive bioinformatics, assays for most complex biological processes can be achieved. We propose that the Genomic Allergen Rapid Detection (GARD™) assay, developed to create a holistic data-driven in vitro model with high informational content, could be such an example. Based on the genomic expression of a mature human dendritic cell line and state-of-the-art machine learning techniques, GARD™ can today accurately predict skin sensitizers and correctly categorize skin sensitizing potency. Consequently, by utilizing advanced processing tools in combination with high information genomic or proteomic data, we can take the next step toward alternative methods with the same predictive accuracy as today’s in vivo methods—and beyond.


Dermatitis ◽  
2005 ◽  
Vol 16 (4) ◽  
pp. 157-202 ◽  
Author(s):  
Frank G. Gerberick ◽  
Cindy A. Ryan ◽  
Petra S. Kern ◽  
Harald Schlatter ◽  
Rebecca J. Dearman ◽  
...  

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