Summary
Published in Toxicological Sciences (2025), this peer-reviewed study used 3D Petri Dish® micro-molds to form scaffold-free 3D microtissues. Full citation: Daley, Mark C, et al. Computationally informed point of departure evaluation for proarrhythmic cardiotoxicity assessment using 3D engineered cardiac microtissues from human iPSC-derived cardiomyocytes
Computationally informed point of departure evaluation for proarrhythmic cardiotoxicity assessment using 3D engineered cardiac microtissues from human iPSC-derived cardiomyocytes
Research Overview
Human iPSC-derived cardiomyocytes are promising for proarrhythmia testing, but batch variation and non-linear drug responses make it hard to pin down the concentration at which risk begins. This study paired a computational human action-potential model of hERG channel block with experimental data from 3D iPSC-cardiomyocyte engineered microtissues to sharpen point-of-departure estimates for action-potential-duration prolongation.
Simulations predicted that APD prolongation follows a logistic curve and that more than 81% hERG block triggers early afterdepolarizations, which markedly shift the response curve. Curve fitting was most accurate before that onset — practical guidance for deriving defensible cardiotoxicity thresholds from 3D microtissue data.
Key Discoveries
- Computational hERG-block model combined with 3D iPSC-cardiomyocyte microtissue data
- APD prolongation followed a logistic curve; >81% hERG block induced early afterdepolarizations
- Point-of-departure curve fitting was most accurate prior to afterdepolarization onset