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CASE STUDY PRESENTATION: A QUANTITATIVE AOP FOR SKIN SENSITISATION RISK ASSESSMENT GAVIN MAXWELL, CATHERINE CLAPP, RICHARD CUBBERLEY, SERAYA DHADRA, NIKKI GELLATLY, STEPHEN GLAVIN, SARAH HADFIELD, SANDRINE JACQUOILLEOT, AMELIA JARMAN, IAN JOWSEY, SUE LOVELL, JACK MAYNE, CRAIG MOORE, RUTH PENDLINGTON , JULIETTE PICKLES, JOE REYNOLDS. OUARDA SAIB, DAVID SHEFFIELD, RICHARD STARK, WENDY SIMPSON, VICKI SUMMERFIELD. DAWEI TANG, SAM WINDEBANK & CAMERON MACKAY SAFETY & ENVIRONMENTAL ASSURANCE CENTRE (SEAC), UNILEVER R&D

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Page 1: CASE STUDY PRESENTATION: A QUANTITATIVE …tt21c.org/wp-content/uploads/2014/Presentations/Maxwell...CASE STUDY PRESENTATION: A QUANTITATIVE AOP FOR SKIN SENSITISATION RISK ASSESSMENT

CASE STUDY PRESENTATION:

A QUANTITATIVE AOP FOR SKIN SENSITISATION RISK ASSESSMENT GAVIN MAXWELL, CATHERINE CLAPP, RICHARD CUBBERLEY, SERAYA DHADRA, NIKKI GELLATLY, STEPHEN GLAVIN, SARAH HADFIELD, SANDRINE JACQUOILLEOT, AMELIA JARMAN, IAN JOWSEY, SUE LOVELL, JACK MAYNE, CRAIG MOORE, RUTH PENDLINGTON , JULIETTE PICKLES, JOE REYNOLDS. OUARDA SAIB, DAVID SHEFFIELD, RICHARD STARK, WENDY SIMPSON, VICKI SUMMERFIELD. DAWEI TANG, SAM WINDEBANK & CAMERON MACKAY SAFETY & ENVIRONMENTAL ASSURANCE CENTRE (SEAC), UNILEVER R&D

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Define Human / HRIPT Threshold No Expected Skin Sensitisation

Induction Level (NESIL)

Apply Sensitisation Assessment Factors (SAFs) :

Inter-individual variability (x10) Vehicle/product matrix effects (x1 - x10)

Use considerations (x1 – x10)

Acceptable Exposure Level (AEL)

Compare AEL with Consumer Exposure Level (CEL)

Identify sensitisation potency LLNA (GPMT, Buehler)

Identify sensitisation potential QSAR/read-across/analytical chemistry

Other Clinical data

Benchmarking Consumer habits and

practices data

Decision on whether or not to market

TRADITIONAL SKIN SENSITISATION RISK ASSESSMENT

Consumer habits and practices data

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NEW SKIN SENSITISATION RISK ASSESSMENT PARADIGM?

Modified from ‘Adverse Outcome Pathway (AOP) for Skin Sensitisation’, OECD

Epidermis Epidermis

Lymph

Node

Induction Elicitation

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DEVELOP A MATHEMATICAL MODEL OF ALLERGIC CONTACT DERMATITIS TO ENABLE RISK ASSESSMENT DECISION-MAKING FOR NEW CHEMICALS

Viable Skin

Stratum Corneum

Receptor Fluid

Vehicle

Par

titi

on

ing

Dif

fusi

on

Mo

de

l In

pu

ts

Rea

ctiv

ity

K

inet

ics

Exp

osu

re

Skin

Bio

avai

lab

ity

ex vivo human skin

ex vivo human skin

Dendritic cell

Proliferating CD8+ T cell

Dendritic cell

? Naïve

CD8+ T cell

Lymph Node

Lymphatic Vessel

Dose of chemical applied to skin Hap

ten

-sp

ecif

ic T

cel

l act

ivat

ion

chemical X

chemical

Mo

de

l Ou

tpu

t

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Viable Skin

Stratum Corneum

Receptor Fluid

Vehicle

Par

titi

on

ing

Dif

fusi

on

Dendritic cell

Lymphatic Vessel Proliferating CD8+ T cell

Dendritic cell

? Naïve

CD8+ T cell

Lymph Node

Dose of chemical applied to skin Hap

ten

-sp

ecif

ic T

cel

l act

ivat

ion

chemical X

chemical

Mo

de

l Ou

tpu

t DNCB CASE STUDY – BENCHMARK MODEL PREDICTION USING DATA FROM FRIEDMANN ET AL. 1983

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MODELLING SKIN BIOAVAILABILITY OF EXPERIMENTAL SENSITISER 2,4-DI-NITRO CHLOROBENZENE (DNCB)

Loss from skin

Loss from formulation

Partitioning Diffusion

Exposure Scenario in vitro skin pen

Dose 38.25 μg/cm2

Vehicle Volume 20 μL

Surface area 0.64 cm2 Skin

Bio

avai

lab

ity

ex vivo human skin

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MODELLING OF SKIN PROTEIN HAPTENATION SKIN DENDRITIC CELL ANTIGEN PROCESSING, PRESENTATION & MIGRATION TO DRAINING LYMPH NODE

Viable Skin

Stratum Corneum

Receptor Fluid

Vehicle

Par

titi

on

ing

Dif

fusi

on

Dendritic cell

Lymphatic Vessel Proliferating CD8+ T cell

Dendritic cell

? Naïve

CD8+ T cell

Lymph Node

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PREDICTING THRESHOLD OF T CELL ACTIVATION VIA MODELLING OF DC: T CELL IMMUNE SYNAPSE

Proliferating CD8+ T cell

Dendritic cell

? Naïve

CD8+ T cell

Lymph Node

Dose of chemical applied to skin Hap

ten

-sp

ecif

ic T

cel

l act

ivat

ion

chemical X

chemical

Mo

de

l Ou

tpu

t

Explore effect of pMHC surface density and kon/koff on probability of T-cell triggering with the available models (Zarnitsyna & Zhu, 2012). Simulations generated using ‘confinement time’ model of Dushek, et al, 2009.

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DNCB CASE STUDY – MODEL OUTPUT & CLINICAL DATA

Predicted synapse formation rate

Percentages indicate the observed sensitisation rate at the corresponding dose (Friedmann et al 1983)

Prediction of maximum immune synapse

rate in the 4 weeks following application

Sensitisation assessed by challenge with DNCB 4 weeks after application

Friedmann et al 1983

• Single exposure to DNCB

• 7.1cm2 volar forearm

• 100μL acetone vehicle

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DNCB CASE STUDY – MODEL OUTPUT & CLINICAL DATA

Predicted synapse formation rate

Percentages indicate the observed sensitisation rate at the corresponding dose (Friedmann et al 2007)

Sensitisation assessed by challenge with DNCB 4 weeks after application

Friedmann 2007

• Single exposure to DNCB

• Various exposure areas, sites, vehicles & volumes

Prediction of maximum immune synapse

rate in the 4 weeks following application

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• We have developed a mechanistic, mathematical model of DNCB-induced CD8+ T cell activation in humans with the purpose of informing skin sensitisation risk assessment

• The model predicts various measures of sensitiser-induced CD8+ T cell activation for different DNCB exposure scenarios using a combination of chemical- & exposure-specific non-animal data on skin bioavailability and reactivity

1. Progress human CD8+ T cell response model development to allow mechanistic prediction of allergic contact dermatitis

2. Determine the uncertainty in our model predictions through characterising parameter & model uncertainty

OVERALL SUMMARY

NEXT STEPS

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Unilever Catherine Clapp, Richard Cubberley, Seraya Dhadra, Nikki

Gellatly, Stephen Glavin, Sarah Hadfield, Sandrine Jacquoilleot,

Amelia Jarman, Ian Jowsey, Sue Lovell, Cameron MacKay, Jack

Mayne, Craig Moore, Ruth Pendlington, Juliette Pickles, Joe

Reynolds, Ouarda Saib, David Sheffield, Richard Stark, Wendy

Simpson, Vicki Summerfield , Dawei Tang & Sam Windebank

University of Leeds Sheeja Krishnan, Grant Lythe & Carmen Molina-París

John-Paul Gosling – sponsored by:

University of Manchester Rebecca Dearman, Chris Griffiths, Matt Harries, Amy Popple &

Ian Kimber

Salford Royal NHS Foundation Trust Jason Williams

University College London Benny Chain & Theres Oakes

ACKNOWLEDGEMENTS