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The Use of Adverse Outcome Pathways (AOPs) to Support Chemical Safety Decisions within the Context of Integrated Approaches to Testing and Assessment (IATA) Catherine Willett, Humane Society of the United States, Humane Society International

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Page 1: The Use of Adverse Outcome Pathways (AOPs) to Support … · 2019. 1. 22. · AOPs are not chemical specific 2. AOPs are modular (consisting of KEs and KERs) that can be shared between

The Use of Adverse Outcome Pathways (AOPs) to Support Chemical Safety Decisions within the Context of Integrated Approaches to Testing and Assessment (IATA)

Catherine Willett, Humane Society of the United States, Humane Society International

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Outline:

Why

o Need for faster, predictive approach to toxicology

What

o Purpose, definition

How

o AOP Wiki

o Guidance

o Evaluation

When

o Integrated Approaches to Testing and Assessment

o Use in decision making

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Need for faster, predictive toxicology

”Transform toxicity testing from a system based on whole animal testing to one founded primarily on in vitro methods that evaluate changes in biologic processes using cell, cell lines, or cellular components, preferably of human origin.”

Including “tests that assess critical mechanistic endpoints involved in the induction of overt toxic effects rather than the effects themselves.”

National Academy of Sciences, 2007

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Linking molecular information to adverse outcomes: Adverse Outcome Pathways

?

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“Conceptually, an AOP can be viewed as a sequence of events commencing with initial interactions of a stressor with a biomolecule in a target cell or tissue (i.e., molecular initiating event), progressing through a dependent series of intermediate events and culminating with an adverse outcome.”

“AOPs are typically represented sequentially, moving from one key event to another, as compensatory mechanisms and feedback loops are overcome.”

Protein binding DNA binding

Receptor/ligand binding

Gene activation Protein production

Altered signaling

Altered physiology Altered tissue

development or function

Impaired development

Impaired reproduction

lethality

Impaired reproduction/

survival, Population crash

Chemical properties

OECD AOP User’s Handbook: https://aopkb.org/common/AOP_Handbook.pdf

Linking molecular information to adverse outcomes: Adverse Outcome Pathways

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AOP Provides Organization for Understanding and Relating Data

Mechanistic Toxicology Data

Bioindicators (e.g. Molecular Epi)

Epidemiology

Eco Field Studies

Toxicity Pathways Regulatory Endpoints

High Throughput Tox Guideline Studies

Toxicants Macro -

Molecular Interactions

Cellular Responses

Organ Responses

Organism Responses

Population Responses

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Essential Elements of an AOP

Molecular Initiating Event (MIE): Initial point of chemical interaction

Adverse Outcome (AO): Adverse outcome of regulatory significance

Key Events (KEs) - nodes Change in biological state

Measurable and essential for progression

Key Event Relationships (KERs) - edges Connections between two key events

Critical for assembling evidence in support of the AOP

Villeneuve, et al. Tox Sci., 2014, 142:312-320

MIE KE 1 KE 2 KE 3 AO

Protein binding DNA binding

Receptor/ligand binding

Gene activation Protein production

Altered signaling

Altered physiology Altered tissue

development or function

Impaired development

Impaired reproduction

lethality

Impaired reproduction/

survival, Population crash

Chemical properties

KER 1 KER 2 KER 3 KER 4

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AOP Knowledgebase: information storage, evaluation, and linkage

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Five Principles of AOP Development

1. AOPs are not chemical specific

2. AOPs are modular (consisting of KEs and KERs) that can be shared between two or more pathways

3. An individual AOP is a pragmatic unit of development and evaluation

4. For most real-world applications, AOP networks are the functional unit of prediction

5. AOPs are living documents Villeneuve, et al. Tox Sci., 2014, 142:312-320

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AOP WIKI: information storage and evaluation

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AOP WIKI: KER and AOP confidence evaluation

OECD (2014) User’s Handbook Supplement to the Guidance Document for Developing and Assessing AOPs. https://aopkb.org/common/AOP_Handbook.pdf.

Biological Plausibility: between KE upstream and KE downstream?

High (strong): Extensive understanding of KER

Moderate: KER is plausible

Low (weak): some empirical support

Essentiality: are downstream KEs prevented if upstream KE’s blocked?

High (strong): direct evidence from experimental studies

Moderate: indirect evidence

Low (weak) No or contradictory evidence

Empirical Evidence: amount, quality, consistent, inconsistent?

High (strong): extensive evidence for temporal, dose-response

Moderate: multiple reports of consistent evidence, some inconsistent

Low (weak): limited or no studies and/or significant inconsitencies

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Carole Yauk – https://aopwiki.org/wiki/index.php/Aop:15

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AOP in context of hazard and risk assessment

Adverse Outcome Pathway, Ankley 2010, Villeneuve 2014

“Borrowed” from Steve Edwards

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AOPs in action

Adverse

outcome KE 2 KE n

KERn KER3

KE 1 MIE

KER2 KER1

Data organization Hypothesis generation Weight-of-evidence interpretation Prediction

Assay 3 Assay 2 Assay 1 Assay n

Integrated testing strategy

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Integrated Approach to Testing and Assessment (IATA): OECD working definition

“a structured approach that strategically integrates and weights all relevant data to inform regulatory decisions regarding potential hazard and/or risk and/or the need for further targeted testing and therefore optimising and potentially reducing the number of tests that need to be conducted.”

Report of the Workshop on a Framework for the Development and Use of Integrated Approaches to Testing and Assessment. 2015. OECD Series on Testing and Assessment No. 215

Problem formulation Gather existing information

MORE INFORMATION NEEDED?

Design non-testing strategy Design testing strategy

Repeat until question is answered to necessary certainty

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Using an AOP within the context of an IATA

AOP provides biological rationale o For weight-of-evidence interpretation o For design of integrated, iterative testing strategy

Transparent communication of certainty Quantitative information allows prediction

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Regulatory acceptance of IATA: specific case Defined Approaches (DA)

(J. Baroso, European Commission. 2014)

Several different possibilities for combining information

How do regulators deal with different IATA to satisfy same information request?

Proper guidance is crucial

DA possibly covered by MAD?

• (Mutual Acceptance of Data)

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Regulatory acceptance of IATA: specific case Defined Approaches

Goal of EC-led OECD project:

Provide guidance on development, evaluation and application of IATA

Develop harmonized template for describing IATA

Provide consistent description of individual information

sources to allow easy comparison between methodologies

Evaluate different IATA for specific uses

Include list of case examples (Defined Approaches)

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AOP-supported IATA example: Skin Sensitization

Skin sensitization IATA:

Exposure? ADME? Existing

ifnormation

Molecular Initiating

Event

Cellular Effects

Organ Effects

Individual Effects

In vitro skin absorption (OECD 428)

QSARs; Direct Peptide Reactivity Assay (DPRA;

OECD 442C)

human Cell Line Activation Test (h-CLAT;

OECD 442E)

KeratinoSens (OECD 442D)

MUSST (U-SENS) LuSens

Local Lymph Node Assay (LLNA, OECD

429)-mouse

Question to be answered: Screening? Hazard ID? GHS C&L?

Sub-classification?

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Skin Sensitization IATA: looking for the optimal testing strategy for hazard ID

Compared to human Accuracy

Standard animal test LLNA 89%

Individual tests

DPRA 87%

LuSens 82%

mMUSST 85%

h-CLAT 78%

Combinations (1 out of 2 is positive)

DPRA + LuSENS 85%

DPRA + mMUSST 81%

DPRA + h-CLAT 83%

LuSens + mMusst 80%

LuSens + h-CLAT 82%

2 out of 3 DPRA + LuSens + mMUSST

94%

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Regulatory acceptance of IATA: specific case Defined Approaches

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Regulatory acceptance of IATA: specific case Defined Approaches

Examples of different IATA for skin sensitization:

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In Summary

AOPs can support decision making at every level, and in several ways:

o support WoE arguments

o support ITS design

o transparent communication of uncertainty

o predicting outcome

AOP Wiki is crowd-sourced, open to everyone o The more participation, the better it will become!

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In Summary

Designed to answer a specific question

Hypothesis driven

Can be AOP supported

More than one IATA possible for a given question

Regulatory acceptance as “Defined Approaches”

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Thank you!

Catherine Willett, PhD Director, Regulatory Testing Risk Assessment and Alternatives Humane Society of the United States Humane Society International Coordinator, Human Toxicology Project Consortium [email protected]