In silico Prediction of Skin Sensitization: Quo vadis?
Autor: | Max K Leong, Giang Huong Ta, Ching-Feng Weng |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0301 basic medicine
in chemico test methods medicine.medical_specialty Allergy In silico media_common.quotation_subject Human cell line RM1-950 Review 010501 environmental sciences 01 natural sciences Cosmetics Broad spectrum 03 medical and health sciences Biosafety animal test methods in silico models non-animal test methods Adverse Outcome Pathway medicine Pharmacology (medical) skin sensitization Allergic contact dermatitis 0105 earth and related environmental sciences media_common Pharmacology human test methods Activation test business.industry Biopharmaceutics Skin sensitization medicine.disease Cosmeceuticals Dermatology Rash In vitro 030104 developmental biology Immunology Therapeutics. Pharmacology medicine.symptom business |
Zdroj: | Frontiers in Pharmacology Frontiers in Pharmacology, Vol 12 (2021) |
ISSN: | 1663-9812 |
Popis: | 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. |
Databáze: | OpenAIRE |
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