Neurotox and Cardiac Safety Assessment: Case Studies Employing iPS - - PowerPoint PPT Presentation
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
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
In In vitr vitro Asses essments of
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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
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
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
Short CiPA Overview
Comprehensive In-vitro Proarrhythmia Assay (CiPA)
Cross site correlations
Human iPSC-derived cardiomyocytes and MEA recordings detect electrophysiological phenotypes related to key mechanistic effects.
MEA Tracings
Phenotypes of hiPSC-CM Electrophysiology
- 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
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
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
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
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
- 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
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)
- 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
03.12.18 Society of Toxicology
Field Potential Signal for the CM-MEA Assay
Relationship to the Cardiomyocyte Signal Spectrum
Clinical ECG Action Potential Field Potential LEAP Field Potential
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
Maestro Pro & Edge
World’s most advanced MEA platforms
Maestro Pro & Edge BioCore v4
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
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
The LEAP Advantage #2
Arrhythmia/EAD Detection
The LEAP signal improves the accuracy of automated analysis, and allows automation of EAD detection
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.
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
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
Implementing the LEAP Assay
2mV 100uV 800m s Baseline Dosed LEAP
LEAP Case Study on Selective Blockers
L-Type Calcium Block (Nifedipine) hERG Potassium Block (E-4031) Multi-Ion Channel Block (Verapamil)
LEAP Case Study on Selective Blockers
LEAP Case Study on Tolterodine vs. Terodiline
Tolterodine Terodiline
Martin et al, 2006
“Next Steps” Combining LEAP with Other Maestro Technology
CytoView MEA 24-well
Electrical Pacing
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