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FOR NRF2 AND OXIDATIVE STRESS IN THE CONTEXT OF THE AOP FRAMEWORK - - PowerPoint PPT Presentation

DEVELOPMENT OF A MECHANISTIC MODEL FOR NRF2 AND OXIDATIVE STRESS IN THE CONTEXT OF THE AOP FRAMEWORK ANDREW WHITE SAFETY & ENVIRONMENTAL ASSURANCE CENTRE For all Unilever presentations see: www.TT21C.org OUTLINE OF TALK Background of


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DEVELOPMENT OF A MECHANISTIC MODEL FOR NRF2 AND OXIDATIVE STRESS IN THE CONTEXT OF THE AOP FRAMEWORK

ANDREW WHITE

SAFETY & ENVIRONMENTAL ASSURANCE CENTRE

For all Unilever presentations see: www.TT21C.org

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OUTLINE OF TALK

  • Background of project and objective for

the development of the oxidative stress AOP

  • Scope of the systems model
  • Approaches for translation of model for

decision making

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MAIN AIMS OF USING THE OXIDATIVE STRESS SYSTEM AS A CASE STUDY

  • Build capability in understanding how to apply this

approach to a general stress mechanism

  • Understand the behaviour of an integrated system

centred on homeostasis control to enable chemical risk assessment

  • Define molecular events that lead to adverse effects and

select appropriate biomarkers and pathways based on relevant biology

» so that adverse effects measured in in vitro systems could be correctly interpreted in the context of risk for human health

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OXIDATIVE STRESS -OVERVIEW

Cellular Balance between ROS production and ROS removal by scavenging mechanisms

Downstream consequences Altered cell signalling, Protein oxidation, Lipid Peroxidation, DNA damage, Mitochondria damage Cellular /Environmental Sources, Cytosolic/Mitochondrita Altered Cellular processes Apoptosis, Necrosis, Proliferation, Differentiation, Inflammation, Catalase, Thierodoxin, GPx Non – enzymatic eg. Glutathionine, Ascorbate Transcription al Adaption

  • eg. Nrf2

Repair Removal

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OXIDATIVE STRESS AS A CLASSICAL CASE STUDY FOR ADAPTIVE RESPONSES

Biological Inputs

Normal Biological Function

Adverse Health Outcomes

Cell Dysfunction

Adaptive Stress Responses and Homeostasis

Altered Cellular Responses

Exposure Tissue Dose Biological Interaction Perturbation

An existing biochemical circuit in the cell that, when sufficiently perturbed, is expected to result in an adverse health effect. Adapted from Toxicity Testing in the 21st Century: A Vision and a Strategy, the U.S. National Academy of Sciences

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OXIDATIVE STRESS AOP UNDERSTANDING COMPLEX INTERACTIONS

Modified network of oxidative stress as depicted by sbv improver. https://sbvimprover.com/

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SCOPE OF LIVER OXIDATIVE STRESS SYSTEMS MODEL

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SCOPE OF LIVER OXIDATIVE STRESS SYSTEMS MODEL – NRF2 SUBMODULE

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IN VITRO MEASUREMENTS - REDOX IMPACT

Key Parameters – Inputs; Modulators Outputs; Signal transducer

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Current data does not show a robust protein carbonylation response in HaCat cells at exposure concentrations that have been shown to induce other markers of oxidative stress

IN VITRO MEASUREMENTS – CELLULAR OUTPUTS

Protein Carbonylation Protein Nitrosylation

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IMPACT OF NRF2 ON KEY PARAMETERS

GCLC

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IN SILICO SIMULATION NRF2 AND KEAP1 KNOCKOUT STUDIES COMPARISON

Kai Connie Wu et al, Beneficial Role of Nrf2 in Regulating NADPH Generation and Consumption, TOXICOLOGICAL SCIENCES 123(2), 590–600 (2011)

Results from literature [Wu] Simulation results

0.5 1 1.5 2 2.5 3 3.5 Nrf2 KO wild type Keap1 KD Keap1 KO

Nuclear Nrf2

0.2 0.4 0.6 0.8 1 1.2 1.4 Nrf2 KO wild type Keap1 KD Keap1 KO

GSH fold …

NQO1 gGCS Nrf2 KO  wild type   Keap1 KD   Keap1 KO  

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IN SILICO SIMULATION PROTEIN THIOL BUFFERING

Type of thiol description Experiment results Simulation Results PSH % of total Protein thiols 56 +/-10 55% PSSG % of total Protein thiols 19 +/-4 20% PSSP % of total Protein thiols 25 +/-11 25% GSH % of total GSH equivalents 37 +/-14 31% Cytosolic PSSG Cytosolic PSSP Cytosolic PSH

Rosa E. Hansen, et al, Quantifying the global cellular thiol– disulfide status, PNAS January 13, 2009 vol. 106 no. 2, 422-427

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STRESS CONDITIONING SIMULATION –REPEAT DOSE

Stage of expt Parameter Fold change in reference [JZC] Fold change in our simulations After first pulse MDA Approximately 2 1.95 4-HNE Approximately 2 1.945 GST protein at 2 hrs 2.7 2.82 SH-HNE elimination rate at 2 hrs 2.9 3.8 GSH at 2 hrs Not shown 0.85 After challenge dose 4-HNE any point of time <1.5 1.31

Ji-Zhong Cheng et al, Accelerated Metabolism and Exclusion of 4-Hydroxynonenal through Induction of RLIP76 and hGST5.8 Is an Early Adaptive Response of Cells to Heat and Oxidative Stress J. Biol. Chem. 2001, 276:41213-41223

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STRESS CONDITIONING SIMULATION –REPEAT DOSE

Cytosolic MDA Cytosolic GSH Cytosolic 4-HNE Elimination of 4-HNE

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DETERMINATION OF REDOX SENSITIVE COMPONENTS OF THE MODEL – GLUTATHIONE REDOX POTENTIAL

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Adverse response

TRANSLATION – CONTEXT VIA CORRELATE LEVELS OF CELL DAMAGE AND RECOVERING TO PHYSIOLOGICAL PROCESS

Concentration

Background Adverse region Adaptive region Non perturbed

0.2 0.4 0.6 0.8 1 1.2 control day control night LPO 0.5 1 1.5 2 2.5 3 3.5 LPO PC GSSG GSH control day

From S. Mrakic-Sposta etal. OxiMed2012-973927

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TRANSLATION – NEW TOOLS FOR IMPROVED QUANTITATIVE TIME RESOLVED RESOLUTION

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SUMMARY/NEXT STEPS

  • Have used the AOP approach as a framework to describe

the relationship between key events across scales for oxidative stress.

  • Developed a model to quantify the relationships between

the events and understand the homeostatic control of the

  • system. Reiterative approach to assess and refine model.
  • Have tools in place to determine some of the key

parameters however there are still further required.

  • Looking at how we can use the outputs to understand the

adaptive/adverse continuum to enable decision making.

  • Further additional work is necessary to finalise the model,
  • eg. biokinetics to aid translation to risk assessment.
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ACKNOWLEDGEMENTS

Unilever Strand Life Sciences

Mahesh Batakurki Kas Subramanian Paul Carmichael Narasimha M.K Kristina Castle Nalina R Sarah Cooper Carol Courage Penny Jones Gaurav Jain Stephen Glavin Jaya Vethamanickam Tk, Sivaram

Hamner Institute

Rebecca Clewell Jingbo Pi () Bin Sun Bo-Wen Huang Mel Anderson

Leiden University

Bob van de Water Stephen Wink