Predicting human cardiac QT alterations and pro-arrhythmic effects of compounds with a 3D beating heart-on-chip platform

Author:

Visone Roberta12,Lozano-Juan Ferran12,Marzorati Simona3,Rivolta Massimo Walter4,Pesenti Enrico3,Redaelli Alberto1,Sassi Roberto4,Rasponi Marco1,Occhetta Paola12ORCID

Affiliation:

1. Department of Electronics, Information and Bioengineering, Politecnico di Milano , Milan, 20133, Italy

2. BiomimX Srl , Milan, 20158, Italy

3. Accelera Srl , Milan, 20014, Italy

4. Department of Computer Science, Università degli Studi di Milano , Milan, 20133, Italy

Abstract

Abstract Determining the potential cardiotoxicity and pro-arrhythmic effects of drug candidates remains one of the most relevant issues in the drug development pipeline (DDP). New methods enabling to perform more representative preclinical in vitro studies by exploiting induced pluripotent stem cell-derived cardiomyocytes (iPSC-CM) are under investigation to increase the translational power of the outcomes. Here we present a pharmacological campaign conducted to evaluate the drug-induced QT alterations and arrhythmic events on uHeart, a 3D miniaturized in vitro model of human myocardium encompassing iPSC-CM and dermal fibroblasts embedded in fibrin. uHeart was mechanically trained resulting in synchronously beating cardiac microtissues in 1 week, characterized by a clear field potential (FP) signal that was recorded by means of an integrated electrical system. A drug screening protocol compliant with the new International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) guidelines was established and uHeart was employed for testing the effect of 11 compounds acting on single or multiple cardiac ion channels and well-known to elicit QT prolongation or arrhythmic events in clinics. The alterations of uHeart’s electrophysiological parameters such as the beating period, the FP duration, the FP amplitude, and the detection of arrhythmic events prior and after drug administration at incremental doses were effectively analyzed through a custom-developed algorithm. Results demonstrated the ability of uHeart to successfully anticipate clinical outcome and to predict the QT prolongation with a sensitivity of 83.3%, a specificity of 100% and an accuracy of 91.6%. Cardiotoxic concentrations of drugs were notably detected in the range of the clinical highest blood drug concentration (Cmax), qualifying uHeart as a fit-to-purpose preclinical tool for cardiotoxicity studies.

Funder

European Union’s Horizon 2020

Marie Skłodowska-Curie

Publisher

Oxford University Press (OUP)

Subject

Toxicology

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