Neurotox and Cardiac Safety Assessment: Case Studies Employing iPS - - PowerPoint PPT Presentation

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Neurotox and Cardiac Safety Assessment: Case Studies Employing iPS - - PowerPoint PPT Presentation

Neurotox and Cardiac Safety Assessment: Case Studies Employing iPS Cell lines and Next Generation MEA Technology Workshop Outline In vitro Assessments of Drug-induced Neuronal Modulation and MEA-based Seizure Prediction Blake Anson, PhD


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Neurotox and Cardiac Safety Assessment: Case Studies Employing iPS Cell lines and Next Generation MEA Technology

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Workshop Outline

In vitro Assessments of Drug-induced Neuronal Modulation and MEA-based Seizure Prediction

Blake Anson, PhD Cellular Dynamics International

Comprehensive In-vitro Proarrhythmia Assay (CiPA)

MEA and hiPSC-cardiomyocytes as reproducible and predictive tools for detecting proarrhythmia Hong Shi, PhD Bristol-Myers Squibb

Get Ready to LEAPTM

Mike Clements, PhD AXION Biosystems

Please use this link to access the seizure prediction slides Please use this link to access more information on iCell Cardiomyocytes and Cardiomyocytes2 Please use this link to learn more about the Maestro Edge

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In In vitr vitro Asses essments of

  • f Dru

Drug-induced Neu euronal l Mod

  • dula

lation and MEA-based Seiz eizure Pred ediction

Bl Blake Anso nson, , PhD PhD C Cellu lular Dyn Dynamics In Internatio ional

Please use use thi this link to

  • acc

access the the slides

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Comprehensive In In-vitro Proarrhyt ythmia Assay (C (CiPA)

MEA and hiP iPSC-cardiomyocy cytes as s re reproducible and pre redict ctive tools for detecting pro roarrhythmia

Hong Shi, MD BMS

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Talk Outline

Comprehensive In-vitro Proarrhythmia Assay (CiPA)

System stability and cross site reproducibility

  • CiPA Paradigm
  • MEA Tracings and Drug Effects
  • Baseline and Control Responses
  • Data from BMS
  • CiPA Compound Responses
  • Data from BMS
  • Multi-site Correlations
  • Summary

iCell Cardiomyocytes2 Maestro

Multiwell MEA Platform

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Short CiPA Overview

Comprehensive In-vitro Proarrhythmia Assay (CiPA)

Cross site correlations

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Human iPSC-derived cardiomyocytes and MEA recordings detect electrophysiological phenotypes related to key mechanistic effects.

MEA Tracings

Phenotypes of hiPSC-CM Electrophysiology

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  • Baseline histograms were compiled

across 14 separate 48-well plates for BP, AMP, FPDc (Fridericia), and BP Coefficient of Variability.

  • BP CoV and AMP passed the CiPA

Phase 2 Protocol inclusion criteria.

  • BP, BP CoV, and FPDc were highly

reliable across plates for the study.

Human iPSC-derived cardiomyocytes and MEA recordings provide a stable platform for detect electrophysiological phenotypes

Baseline Data

Safety assays require a consistent phenotype across wells and plates

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The label-free assay supports reliable and minimal responses to vehicle control responses, enabling sensitive detection of the positive control.

0.5nM Dofetilide

  • IC50 ~ 12nM1
  • Used a submaximal

concentrations for maximal system sensitivity

1Snyders and Chaudhary,

1996

Negative control

  • Inter-plate stability
  • Also used as experimental check

Vehicle and Positive Controls

Detection of positive control compounds defines assay sensitivity

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Compound selection was determined by experts and designed to cross multiple classifications with concentrations that bracket the therapeutic level

CiPA Phase 2 Compounds

Detection of positive control compounds defines assay sensitivity

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Low risk compounds generally had little effect on FPDc or elicited a shortening

  • f FPDc.

Intermediate risk compounds ranged from minimal to significant prolongation of FPDc. High risk compounds consistently induced significant prolongation. Human iPSC-derived cardiomyocytes and MEA recordings show appropriate compound classification for arrhythmogenic potential

Low Risk Intermediate Risk High Risk

0/9 compounds showed FPDc prolongation >50% by 30x Cmax Note: EADs included for FPDc calculation 5/11 compounds showed FPDc prolongation >50% by 30x Cmax 7/8 compounds showed FPDc prolongation >50% by 30x Cmax

Compound Responses

BMS Data

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SLIDE 12

Data from BMS matched well with that from multiple sites (Eisai, Genentech, Axion) Overall the test system shows good multi-site reproducibility Data divergence generally

  • ccurred at >30X Cmax, or

upon incidence of EADs

Low Risk Intermediate Risk High Risk

Human iPSC-derived cardiomyocytes and MEA recordings show reproducible classification results across multiple sites

Compound Responses

Multi-Site Data

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  • Each point in the scatter plot represents the

percent change in FPDc at two sites for a single compound and concentration.

  • The data show extremely high correlation for

conditions that do not elicit EADs, and good correlation even when EADs are present.

  • The CiPA Phase 2 data was highly

correlated across all sites using the CDI/Maestro cell-platform combination.

BMS AXN GNE ESI BMS

1 0.94 0.95 0.94

AXN

0.94 1 0.89 0.92

GNE

0.95 0.89 1 0.95

ESI

0.94 0.92 0.95 1 Blinova et al. submitted

Human iPSC-derived cardiomyocytes and MEA recordings show reproducible quantitative data across multiple sites

Multi-Site Correlations

Site-to-site consistency highlights a reliable assay

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Risk classification of Ando et al, 2016

  • TdP risk (y-axis) based on FPDc
  • Ratio (x-axis) based on concentration ratio
  • f in-vitro effect/ clinical level

Red = high risk Yellow = intermediate Green = low risk

Ando et al., 2016 J Pharm Tox Meth

AXION FPDc Sensitivity = 0.79 Specificity = 0.78 Accuracy = 0.79 Sensitivity = 0.84 Specificity = 0.67 Accuracy = 0.79 BMS FPDc

Human iPSC-derived cardiomyocytes and MEA datasets will enable the generation and refinement of in-vitro tools to predict proarrhythmia

  • Current data set is consistent with previous classification results

Smaller data set, unequal grouping

  • Additional assessment paradigms will continue to emerge

Data Interpretation

Current results can be mapped onto existing scheme(s)

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SLIDE 15
  • Positive Controls
  • Reproducible (see left)
  • Were used at sub-maximal concentrations

(0.5nM Dofetilide) to demonstrate detection of sensitive effects

  • Compound Responses
  • Highly correlated across sites (≥ 0.89)
  • Risk Classification was robust across sites
  • Translated well to available clinical data
  • Baseline data was reproducible
  • Across MEA plates
  • Experimental days
  • Experimental sites
  • Vehicle controls
  • Were highly reproducible (see above)
  • Acted as an internal system check

Human iPSC-derived cardiomyocytes and MEA recordings provide an efficient, robust, and translatable in-vitro paradigm for predicting proarrhythmia

Summary

Site-to-site consistency highlights a reliable assay

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03.12.18 Society of Toxicology

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Field Potential Signal for the CM-MEA Assay

Relationship to the Cardiomyocyte Signal Spectrum

Clinical ECG Action Potential Field Potential LEAP Field Potential

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Field Potential LEAP

Local Extracellular Action Potential (LEAP)

How does it work?

Adapted from Borkholder, 1998 LEAP Field Potential Sealing Resistance GΩ Recorded Amplitude (mV) Transmembrane Potential Patent Pending

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Maestro Pro & Edge

World’s most advanced MEA platforms

Maestro Pro & Edge BioCore v4

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Local Extracellular Action Potential (LEAP)

Signal Specifications

5-20 mV Peak-to-Peak SNR ~1000+ Stable for 10-20+ minutes after induction

10 mV

FP at Same Scale

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The LEAP Advantage #1

FP to AP “Translation”

500uV 5mV 5mV

The LEAP signal provides a direct mapping from field potential to action potential morphology

FP and LEAP Signals from the Same Wells, 10x Zoom on the FP Depolarization Repolarization EADs

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The LEAP Advantage #2

Arrhythmia/EAD Detection

The LEAP signal improves the accuracy of automated analysis, and allows automation of EAD detection

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The LEAP Advantage #2

Arrhythmia/EAD Detection

The updated CiPA Analysis Tool provides automated EAD detection for LEAP signals, as well as other LEAP endpoints.

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The LEAP Advantage #3

LEAP Morphology

The LEAP signal provides additional and complementary metrics to the standard CM-MEA field potential assay

LEAP Duration (LEAPD) 5mV

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The induction of LEAP does not affect the underlying electrophysiologic properties of the cardiomyocyte syncytium.

The LEAP Advantage #4

LEAP does not disrupt the underlying biology

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Implementing the LEAP Assay

2mV 100uV 800m s Baseline Dosed LEAP

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LEAP Case Study on Selective Blockers

L-Type Calcium Block (Nifedipine) hERG Potassium Block (E-4031) Multi-Ion Channel Block (Verapamil)

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LEAP Case Study on Selective Blockers

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LEAP Case Study on Tolterodine vs. Terodiline

Tolterodine Terodiline

Martin et al, 2006

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“Next Steps” Combining LEAP with Other Maestro Technology

CytoView MEA 24-well

Electrical Pacing

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Maestro Pro Enables Next Generation Applications

  • The Local Extracellular Action Potential (LEAP) signal adds a new dimension to the

standard CM-MEA assay

  • A simple, label-free induction phase produces the LEAP signal, which is characterized

by:

  • An action potential-like waveform with high amplitude
  • Stability on the time scale of 10-20+ minutes
  • LEAP enables:
  • Clear translation of field potential signals to action potential signals
  • Improvements in automated EAD detection
  • Analysis of LEAP morphology to provide additional end points
  • LEAP does not disrupt the underlying biology

Announcing the LEAP Assay for use in Spring 2018!

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Acknowledgments

Daniel Millard Heather Hayes Anthony Nicolini Colin Arrowood Jim Ross Visit www.axionbio.com For more information on the Maestro ProTM and EdgeTM

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Booth #1342

Tuesday March 13 | 1:30 - 3:30pm

Poster P691

Learn more about LEAP