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. Author manuscript; available in PMC: 2020 Jul 31.
Published in final edited form as: Crit Rev Toxicol. 2018 Feb 23;48(5):359–374. doi: 10.1080/10408444.2018.1429386

Table 1.

Twelve defined and/or integrated approaches to testing and assessment for assessing skin sensitization potential.

OECD Case Study Title
(Submitter)
Purpose Data Inputs Reference Quantitative
Evaluation?
An AOP-based ‘2 out of 3’ Integrated Testing Strategy Approach to Skin Hazard Identification (BASF) Hazard ID DPRA, hCLAT, KeratinoSens™,
U-SENS™
Urbisch et al., 2015 Yes
Sequential Testing Strategy (STS) for Hazard Identification of Skin Sensitisers (RIVM) Hazard ID DPRA, hCLAT, KeratinoSens™, HaCaT gene signature, MultiCASE, CAESAR, DEREK, OECD QSAR toolbox van der Veen et al., 2014 No
A Non-testing Pipeline Approach for Skin Sensitisation (DuPont/G. Patlewicz) Hazard ID Existing data, protein binding profile, physicochemical properties, TIMES-SS, expert judgment Patlewicz et al., 2014 No
Stacking Meta-model for Skin Sensitisation Hazard Identification (L’Oréal) Hazard ID DPRA, KeratinoSens™, U-SENS™, TIMES-SS, ToxTree, volatility, pH Del Bufalo et al., in press No
Integrated Decision Strategy for Skin Sensitisation Hazard (ICCVAM) Hazard ID DPRA, hCLAT, KeratinoSens™, OECD QSAR Toolbox, physicochemical properties Strickland et al., 2016 Yes
Consensus of Classification Trees for Skin Sensitisation Hazard Prediction (EC- JRC) Hazard ID TIMES-SS, DRAGON descriptors Asturiol et al., 2016 No
Sensitizer Potency Prediction Based on Key Event 1 + 2: Combination of Kinetic Peptide Reactivity Data and KeratinoSens® Data (Givaudan) Potency (continuous) Cor1C420 (kinetic peptide reactivity), KeratinoSens™, TIMES-SS Natsch et al., 2015 No
The Artificial Neural Network Model for Predicting LLNA EC3 (Shiseido) Potency class/EC3 DPRA, hCLAT, ARE (or KeratinoSens™) Hirota et al., 2015 Yes
Bayesian Network DIP (BN-ITS-3) for Hazard and Potency Identification of Skin Sensitizers (P&G) Potency class DPRA, hCLAT, KeratinoSens™, TIMES-SS, bioavailability (solubility at pH7, log D at pH7, plasma protein binding, fraction ionized) Jaworska et al., 2015 Yes
Sequential Testing Strategy (STS) for Sensitising Potency Classification Based on in Chemico and In Vitro Data (Kao) Potency class DPRA, hCLAT Takenouchi et al., 2015 Yes
ITS for Sensitising Potency Classification Based on In Silico, In Chemico, and In Vitro Data (Kao) Potency class DPRA, hCLAT, DEREK Takenouchi et al., 2015 Yes
Data Interpretation Procedure for Skin Allergy Risk Assessment (SARA) (Unilever) Sensitization probability Bioavailability, skin protein kinetics, ordinary differential equation model MacKay et al., 2013 No