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The use of AOPs for
in vitro prediction of liver toxicity
Mathieu VINKEN
Application of non-animal approaches for decision-making in chemical safety assessment
10-11 December 2018
London-United Kingdom
Key events (KE)
Key event relationships (KER)
Vinken et al. (2017) Arch. Toxicol. 91: 3697-3707.
STRUCTURE
A conceptual construct that portrays existing knowledge concerning the linkage
between a direct molecular initiating event and an adverse outcome at a biological
level relevant to risk assessment
Definition
Building blocks
Villeneuve et al. (2014) Toxicol. Sci. 142: 312-320.
AOPs are not chemical-specificAny chemical or stressor can trigger the molecular initiating event (MIE)
Chemical interaction at the MIE is specific
AOPs are modularAOPs are flexible, clear, transparent and easy to use
KEs and KERs are not unique to a single AOP
An individual AOP is a pragmatic unit of development/evaluationEach AOP has a single MIE and adverse outcome (AO)
AOPs are linear
AOP networks are the functional units of predictionFor real-world applications
Interactions between AOPs triggered by single toxicants or chemical mixtures
AOPs are living documentsIterative nature
Fit-for-purpose
PRINCIPLES
ASSESSMENT
Tailored Bradford-Hill criteria
Biological plausibility of KERs
► KE level
► Mechanistic relationship between an upstream KE and a downstream KE?
Essentiality of KEs
► AOP level
► Prevention of downstream KEs or the AO by blocking an upstream KE?
Empirical support of KERs
► KER level
► Dose-response relationships?
► Temporality?
► Concordance?
Becker et al. (2015) Regul. Toxicol. Pharmacol. 72: 514-537.
Weight-of-evidenceHigh/strong confidence
Moderate confidence
Low/weak confidence
AOP KNOWLEDGE BASE
5 modules
http://aopkb.org
e.AOP. Portal
AOP Xplorer
Effectopedia
Intermediate Effects Database
AOP Wiki
Gijbels and Vinken (2017) Appl. In Vitro Toxicol. 3: 283-285.
Cholestatic liver injury induced by inhibition of the bile salt export pump
Inhibition of inducible nitric oxide synthase, hepatotoxicity and
regenerative proliferation leading to liver tumors
Peroxisome proliferator-activated receptor alpha-dependent liver
cancer
Peroxisomal fatty acid beta-oxidation inhibition leading to steatosis
Liver X receptor activation leading to hepatic steatosis
Sustained aryl hydrocarbon receptor activation leading to rodent
liver tumors
Constitutive androstane receptor suppression leading to hepatic
steatosis
Protein alkylation leading to liver fibrosis
Aryl hydrocarbon receptor activation leading to hepatic steatosis
Liver toxicity AOPs
Hepatocyte nuclear factor alpha suppression leading to hepatic steatosis
Deoxyribonucleic acid adducts leading to liver hemangiosarcoma
Pregnane X receptor activation leading to hepatic steatosis
Chronic cytochrome P450 2E1 activation leading to liver cancer
Nuclear erythroid 2-related factor repression to steatosis
Farnesoid X receptor activation leading to hepatic steatosis
Serine/threonine protein kinase 2 activation leading to hepatic
steatosis
Molecular events lead to nonalcoholic hepatic steatosis
Lysosomal damage leading to liver inflammation
Gijbels and Vinken (2017) Appl. In Vitro Toxicol. 3: 283-285.
Horvat et al. (2017) Arch. Toxicol. 91: 1523-1543.
Examples of liver toxicity AOPsDrug-induced liver fibrosis
Mellor et al. (2016) Crit. Rev. Toxicol. 46: 138-152.
Drug-induced liver steatosis
Drug-induced cholestasis
Vinken et al. (2013) Toxicol. Sci. 136: 97-106.
VALIDATION
Safety Evaluation Ultimately Replacing Animal Testing (SEURAT)
Raised in response to European Regulation (EC) No. 1223/2009
► Cosmetic products and their ingredients
► Testing and marketing ban
Public - private research initiative
► European Commission/FP7
► Cosmetics Europe
Organization
► 1 January 2011-31 December 2015
► More than 70 research institutions
► 6 projects and 1 coordinating action
www.seurat-1.eu
SCR&Tox: stem cell differentiation for human organ-specific target cells
HeMiBio: development of a hepatic microfluidic bioreactor
DETECTIVE: identification and investigation of human biomarkers
COSMOS: delivery of in silico tools to predict adverse effects of chemicals
NOTOX: development of systems biology tools for organotypic cell cultures
ToxBank: supporting integrated data analysis and servicing
COACH: coordinating action
www.seurat-1.eu
► 253 safety evaluation reports covering 220 cosmetic substances
► Focus on repeated dose toxicity testing
► SCCS safety evaluations of candidate cosmetic compounds to be included in the
annexes of European Regulation (EC) No. 1223/2009
► SCCS publishes the safety evaluation reports on open website
AOP selection
Outcome
Screening of cosmetic ingredient safety evaluation reports published by the Scientific
Committee for Consumer Safety (SCCS) between 2000 and 2009
► Steatosis and cholestasis are the most prominent forms of liver toxicity induced by
cosmetic ingredients
► Liver, kidney and spleen are the most frequently targeted organs by cosmetic
ingredients
Vinken et al. (2012) Arch. Toxicol. 86: 405-412.
In vitro experimentation
► Human hepatoma HepaRG cells
► Bosentan
AOP validation
► 3 concentrations (IC10, IC10/4, IC10/10)
► 3 exposure regimes (1 hour, 24 hours, 24 hours + 72 hours wash-out)
► Proteomics
► Metabonomics
Analyses
► Transcriptomics
Rodrigues et al. (2018) Arch. Toxicol. 6: 1939-1952.
BSEP expression and functionality
► Expression
► Functionality
Rodrigues et al. (2018) Arch. Toxicol. 6: 1939-1952.
Transcriptomics analysis
► Global gene changes
Rodrigues et al. (2018) Arch. Toxicol. 6: 1939-1952.
► Gene clustering
► Detection of established and new biomarkers
Rodrigues et al. (2018) Arch. Toxicol. 6: 1939-1952.
Rodrigues et al. (2018) Arch. Toxicol. 6: 1939-1952.
Upregulated
Downregulated
15
77
24h
Wash-out
Proteomics analysis
Rodrigues et al. (2018) Arch. Toxicol. 6: 1939-1952.
Metabonomics analysis
Rodrigues et al. (2018) Arch. Toxicol. 6: 1939-1952.
Functional and in silico testing
Nuclear receptor activation
Structural alerts and descriptors
Robustness and applicability testing
Primary human hepatocytes
Drugs and cosmetic ingredients
Quantitative optimisation: KERs
Quantitative structure-activity relationships
Concentration-response relationships
Risk assessment optimisation
Kinetic data
Exposure data
OPTIMISATION
Chemical grouping
APPLICATIONS
Test development
Vinken et al. (2017) Arch. Toxicol. 91: 3697-3707.
Integrated approaches to testing and assessment
Prioritisation/de-risking of chemicals
Classification and labelling of chemicals
Angrish et al. (2017) Toxicol. Sci. 159: 159-169.