Black Box Lush Prize 2015: Skin Sensitization Adverse Outcome Pathway G. Frank Gerberick The Procter & Gamble Company.

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Black Box Lush Prize 2015: Skin Sensitization Adverse Outcome Pathway G. Frank Gerberick The Procter & Gamble Company

Evaluation of Chemical Reactivity Methodologies for Screening Skin Sensitisation Potential 23 – 25 May 2007, Ispra, Italy

Skin Sensitization: Allergic Contact Dermatitis Why is it important?

What do we know about Skin Sensitization? Toxicological Sciences, 2011; 120(S1):S238-S268 A B

Learning from the past

Chemical-Protein Reactivity: Skin Sensitization Nucleophilic-electrophilic interaction: Hapten E :Nu The correlation of skin protein reactivity and skin sensitization is well established and has been known for many years. (Landsteiner and Jacobs, 1936; Dupuis and Benezra, 1982; Lepoittevin et al, 1998) Hapten Pro/Pre-Hapten Protein

Alternatives Strategy for Skin Sensitization NH 2 T DC NH 2 GP Tests, HRIPT LLNA Skin penetration Protein binding DC activation 1° T reaction

Adverse Outcome Pathway and Predictive Testing Chemical Structure & Properties Organism Response Organ Response Cellular Response Molecular Initiating Event 1. Skin Penetration 2. Electrophilic substance: directly or via auto-oxidation or metabolism 3-4. Haptenation: covalent modification of epidermal proteins 5-6. Activation of epidermal keratinocytes & Dendritic cells 7-8. Presentation of haptenated protein by Dendritic cell resulting in activation & proliferation of specific T cells Allergic Contact Dermatitis: Epidermal inflammation following re-exposure to substance due to T cell- mediated cell death Key Event 1Key Events 2 + 3Key Event 4Adverse Outcome In chemico models In silico models SAR/ QSAR In vitro cell-based models KeratinoSens TM [Givaudan] LuSens [BASF] Keratinocytes PBMDC [Beiersdorf] h-CLAT [KAO/Shiseido] MUSST [L’Oreal] Dendritic Cells Reactivity Assays Modified version of flow diagram from ‘The Adverse Outcome Pathway for Skin Sensitisation, OECD report

Screening method for evaluation skin sensitization potential (haptens, prehaptens) Direct Peptide Reactivity Assay (DPRA) The reactivity is quantified based on the percentage of peptide depletion (HPLC/PDA) Incubation for 24 h, 25°C (dark) Cysteine (Ac-RFAACAA-COOH) Lysine (Ac-RFAAKAA-COOH) 1:10 at pH 7.4 1:50 at pH 10.2 Synthetic model peptides in buffer Test chemical in solvent Direct Peptide Reactivity Assay (DPRA) Method Gerberick, et al. (2004) Tox. Sci. 81,

HPLC/PDA Calculation of peptide depletion in chemico DPRA Method

DPRA Prediction Model Cys 1:10 and Lys 1:50 Avg Score < 22% Total Sample Minimal Reactivity Avg Score <6% Low Reactivity Avg Score >6% Avg Score < 22.62%Avg Score > 22.62% Avg Score > 22% Moderate Reactivity Avg Score <42% High Reactivity Avg Score >42% Non-sensitizingSensitizing Gerberick et al. (2007). Tox. Sci., 97,

Current published dataset of DPRA includes 145 chemicals – 30 Extreme/Strong – 39 Moderate – 33 Weak – 43 Non-sensitizers Sensitivity = 82%; Specificity = 74%; and Accuracy = 80% Natsch, et al. (2013). Journal of Applied Toxicology 33: EURL/ECVAM Results for 157 Chemicals: Sensitivity = 80%; Specificity = 77%; and Accuracy = 80% in chemico DPRA: Accuracy Performance

ECVAM endorsement DPRA ECVAM Pre-validation started in 2009 (after successful inter-laboratory evaluation). Development of SOP and testing OECD GUIDELINE APPROVED!!! Test No. 442C: In Chemico Skin Sensitization - Direct Peptide Reactivity Assay (DPRA)Test No. 442C: In Chemico Skin Sensitization - Direct Peptide Reactivity Assay (DPRA): This Test Guideline provides an in chemico procedure (Direct Peptide Reactivity Assay – DPRA) used for supporting the discrimination between skin sensitizers and non- sensitizers in accordance with the UN GHS. Link: 442c-in-chemico-skin-sensitisation_ enhttp:// 442c-in-chemico-skin-sensitisation_ en

Next Generation: in chemico Peroxidase Peptide Reactivity Assay (PPRA) Screening method for evaluation skin sensitization potential (haptens; pre-, prohaptens) Incubating test chemical with H 2 O 2, HRP, desferroxamine, model peptide for 24h followed by the addition of DTT The reactivity is quantified based on the percentage of peptide depletion (LC/MS/MS) Test Chemical Reactive Metabolite (electrophilic hapten) Peptide (Cys) (nucleophile) Peptide Dimer Electrophilic-nucleophilic covalent binding Adduct Formation Peroxidase (O) Peroxidase (R) H2OH2O H2O2H2O2 Reversed by DTT Auto-oxidation Fe 2+ + H 2 O 2 Oxidant desferroxamine

Alternatives for Skin Sensitization: The Challenge – Data Integration Hazard ID and Potency (NESIL) and QRA Bioavailability SAR Peptide Reactivity T cell Activation Metabolism DC Activation Modeling Simulation Data Integration / ITS / WoE / IATA Bayesian Network (P&G) Artificial Neural Network (Shiseido) Weight of Evidence (BASF)

Bayesian Network Integrated Testing Strategy The BN developed by Jaworska et al, combines in silico, in chemico, and in vitro data related to skin penetration, peptide reactivity, and dendritic cell activation. The structure of the BN ITS represents the underlying mechanistic processes leading to an in vivo effect. The BN ITS framework formulates a probabilistic hypothesis about the target variable based on cumulative evidence from initial data and guides subsequent testing by Value of Information calculations. Jaworska et al. J. Appl. Tox. 2013, 33: 1353–1364; Dataset published Natsch et al. J. Appl. Tox. 2013, 33: Jaworska et al. Arch. Tox (accepted)

In chemico/In Vitro In Silico Risk Product Where are we at now with Skin Sensitization Assessments? ExposureHazard/Potency Assessment Safety Assessments

External Partners! Jean-Pierre Lepoittevin Elena Gimenez-Arnau Ian Kimber Rebecca Dearman Anne Marie Api Jon Lalko DABMEB Consultancy LtdDavid Basketter Brunhilde Blömeke Nora Kurtz Jenny Hennen

Carsten Goebel Cindy Ryan Jian Dai Roy Dobson Frank Gerberick Mike Quijano Petra Kern Leslie Foertsch John Troutman Joanna Jaworska Joel Chaney