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TRANSLATIONAL CHEMISTRY IN MECHANISTIC TOXICOLOGY
DR PAUL RUSSELL SEAC
(SAFETY & ENVIRONMENTAL ASSURANCE CENTRE)
IN MECHANISTIC TOXICOLOGY DR PAUL RUSSELL SEAC (SAFETY & - - PowerPoint PPT Presentation
TRANSLATIONAL CHEMISTRY IN MECHANISTIC TOXICOLOGY DR PAUL RUSSELL SEAC (SAFETY & ENVIRONMENTAL ASSURANCE CENTRE) Unilever Information: Internal Use Analytical Mechanistic Understanding Predictive SEAC 2 Unilever Information: Internal
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1920’s
Today
1920s Today Sensitivity Accessibility
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Rate of interaction is critical to understanding effect
Time Biological Response Adaption Adversity k’ k’’
Mechanistic understanding of molecular initiating events (MIEs) using NMR spectroscopy; Sanderson, P.N et al; Toxicology Research; 5 (2016); 34-44
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Adduct Formation Assay Products of reactions of test chemical and synthetic peptides studied by LC-MS
mathematical models (e.g skin allergy)
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Kinetics Assay Rate of reaction between test chemical and synthetic peptides studied by fluorescence spectrometry
vivo reactivity in mathematical models (e.g. skin allergy)
Example – reactivity of MIT
Structure Kinetic Rate 3.0-06 mM-1 s-1 2.3 -06 mM-1 s-1 1.8 -05 mM-1 s-1
Example – relative reactivity of gamma lactams
R&D - SEAC
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In vitro to in vivo extrapolation
*Additional interactions introduced by in-vitro assays compared to an in-vivo system.
Emphasis should be placed on understanding the free concentration available to reach the target and have an effect.
Gutsell, S., Russell, P.J.; Toxicology Research; 2 (2013); 229-307
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Rapid Equilibrium Dialysis
Sample chamber Buffer chamber 8K MWCO Membrane
Ultrafiltration Ultracentrifugation Solid Phase Microextraction (SPME)
Predictions of:
Torsion angle ≈ 0º Hydrogen Bonding
Atomic Charge
Binding of 4-Nonylphenol to the estrogen receptor β
Binding of β-Sitosterol to the glucocorticoid receptor
By linking an MIE to effects at any organisational level, we may not need to understand subsequent parts of the pathway Understanding the molecular interactions at the MIE allows reliable predictions which have less variability brought in by subsequent complex biological networks
Source Environmental Containment Exposure Molecular Initiating Event Organelle/ Molecular Assemblies Effects Cellular Effects Tissue Effects Organ Effects Organ Systems Effects Individual Effects Population Effects Community Effects Complex biology Molecule to molecule
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Prediction Measurement
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PBK modelling can help identify target
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Measurement Prediction
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Objective: mathematical model scope should be simplest representation of the chemistry and biology capable of reproducing the induction of contact allergy to enable prediction of a safe level of skin exposure (i.e. to inform risk assessment)
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‘The conversion of something from one form
biomolecule or biosystem that can be linked to an outcome via a pathway
Pathway (AOP)
with different affinities and effects
Source Environmental Containment Exposure Molecular Initiating Event Organelle/ Molecular Assemblies Effects Cellular Effects Tissue Effects Organ Effects Organ Systems Effects Individual Effects Population Effects Community Effects
Allen, T.E., Goodman, J.M., Gutsell, S., Russell, P.J.; Chemical Research in Toxicology; 27 (2014); 2100-2112
Individuals (variance, susceptibility) Systemic location Physchem properties 3D structure & Steric effects Metabolism
Exposure
Chemistry is fundamental to understand how molecules interact with biology
Translating the chemistry into meaningful information requires a collaborative, cross-disciple approach
Biologists Informaticians Toxicologists Mathematical Modellers Chemists
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