OECD’s work on Adverse outcome pathways

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Presentation transcript:

OECD’s work on Adverse outcome pathways Bob Diderich, 20 November 2015 bob.diderich@oecd.org www.oecd.org/ehs

Growing concern over lack of toxicological data Chemicals on the market Chemicals Only 10 -20% has been fully assessed 1736 1900 2000

Countries are improving their legislation to assess more chemicals in a shorter time frame Chemical Substances Control Law

Standard toxicity testing is costly, time consuming and requires many animals Test duration 30 – 720 days Costs €2,000 - €2,000,000 5000 animals / chemical

Mutual Acceptance of Data OECD Principles of Good Laboratory Practise and Compliance Monitoring Procedures OECD Test Guidelines Mutual Acceptance of Data

SAVINGS FROM MAD BY AVOIDING DUPLICATIVE TESTING BY INDUSTRY AND NON-TARIFF TRADE BARRIERS: AT LEAST € 150 MILLION / YEAR

Promoting the use of non-animal methods OECD Test Guidelines based on non-animal methods - skin and eye corrosion / irritation - phototoxicity - skin absorption - genotoxicity For instance to test corrosivity and irritancy to skin, so-called in vitro methods are available based on reconstructed human skin models, which closely mimic the upper layers of human skin. Another way to introduce changes in testing and assessment strategies is through the development of models to predict the toxicity of chemicals. For example we use a grouping approach, where we look for chemicals which are structurally similar and likely to have similar effects.

Developing models to predict toxicity Target Chemical Allergy + - + - (Q)SAR Prediction (Quantitative) Structure Activity Relationships Read across

QSAR Toolbox (1) Free software application to predict the properties of chemicals (currently version 3.3) Estimate missing experimental values by read-across and trend analysis (grouping of similar chemicals, chemical categories) www.oecd.org/env/hazard/qsar

Need for mechanistic understanding Target Chemical Target Chemical Developmental & Reproductive toxicity

Identifying the mechanism at work Adverse Outcome (AO) Key Event (KE) Population Organism Organ Tissue Cellular Organelle Molecular Molecular Initiating Event (MIE) pathogenesis / time

Key events triggered by aromatase inhibition that lead to population reduction Testosterone Aromatase Inhibition Reduced E2 synthesis Estrogen Reduced E2 concentration Liver Low Vitellogenin in blood vessles Reduced VTG production Blood Vessel Reduced circulating VTG Reduced VTG uptake Ovary Decreased spawning Female Population reduction

Early key events can be measured with non-animal tests, which can be used to predict the adverse outcome Population Population decline Organism Decreased spawning (in vivo) Organ Reduction egg production (in vivo) Cellular Tissue Reduction VTG synthesis (in vitro) Reduction in estrogen synthesis (in vitro) Organelle Molecular Enzyme binding (QSAR) inhibition of aromatase (in vitro)

Read-across based on mechanistic understanding Endocrine Disruptor Endocrine Disruptor Organism Egg production  Organ (in vivo) VTG  VTG  Cellular (in vitro) Aromatase  Aromatase  Molecular (in vitro) Enzyme binding Enzyme binding Structure (QSAR) Target chemical Results from structurally related chemicals

A chemical can trigger different MIEs leading to different adverse effects KE KE KE AO1 Chemical MIE2 KE KE KE AO2 MIE3 KEX KE KE AO3 Chemical concentration

A chemical can trigger a network of AOPs MIE1 KE KE AO2 Chemical MIE2 KE KE AO3 MIE3 KE KE AO4

Use of AOP Networks to assess toxicity of mixtures Chemical 1 MIE KE KE KE AO4 Chemical 2 MIE Chemical 1 Chemical 2 concentration

AOP Wiki

Effectopedia provides visualisation for all pathway elements Capture all experimental information and models needed to make quantitative predictions Allow collaborative work between AOP developers

AOP Benefits of AOPs Opportu-nities for colla-boration Effective use of existing knowledge Prioriti-sation risk assessment AOP Reduce Animal use Develop predictive tools

AOPs under external review Initiating event Adverse Outcome Alkylation of DNA Heritable mutations Androgen receptor agonism Reproductive dysfunction Aromatase inhibition Protein Alkylation Liver Fibrosis PPARα activation Impaired fertility PPARγ activation Binding of Antagonists to NMDAR Learning and memory impairment Binding of Agonists to NMDAR

Thank you for your attention