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ORIGINAL RESEARCH article

Front. Physiol.
Sec. Cardiac Electrophysiology
Volume 15 - 2024 | doi: 10.3389/fphys.2024.1472126

CardioMEA: Comprehensive Data Analysis Platform for Studying Cardiac Diseases and Drug Responses

Provisionally accepted
  • 1 ETH Zürich, Zurich, Switzerland
  • 2 St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany
  • 3 Partner Site Heidelberg/Mannheim, German Centre for Cardiovascular Research (DZHK), Heidelberg, Baden-Württemberg, Germany
  • 4 Institute of Physiology, Ruhr-University Bochum, Bochum, Germany
  • 5 Department of Molecular and Experimental Cardiology, Ruhr-University Bochum, Bochum, Germany
  • 6 University Heart Center Zürich, Zurich, Zürich, Switzerland
  • 7 Center for Translational and Experimental Cardiology, University Hospital Zürich, Zürich, Zürich, Switzerland
  • 8 Partner site Göttingen, German Center for Cardiovascular Research, Göttingen, Lower Saxony, Germany
  • 9 University Medical Center Göttingen, Göttingen, Lower Saxony, Germany

The final, formatted version of the article will be published soon.

    In recent years, high-density microelectrode arrays (HD-MEAs) have emerged as a valuable tool in preclinical research for characterizing the electrophysiology of human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs). HD-MEAs enable the capturing of both extracellular and intracellular signals on a large scale, while minimizing potential damage to the cell. However, despite the technological advancements of HD-MEAs, there is a lack of effective data-analysis platforms that are capable of processing and analyzing the data, particularly in the context of cardiac arrhythmias and drug testing.To address this need, we introduce CardioMEA, a comprehensive data-analysis platform designed specifically for HD-MEA data that have been obtained from iPSC-CMs.CardioMEA features scalable data processing pipelines and an interactive web-based dashboard for advanced visualization and analysis. In addition to its core functionalities, CardioMEA incorporates modules designed to discern crucial electrophysiological features between diseased and healthy iPSC-CMs. Notably, CardioMEA has the unique capability to analyze both extracellular and intracellular signals, thereby facilitating customized analyses for specific research tasks. We demonstrate the practical application of CardioMEA by analyzing electrophysiological signals from iPSC-CM cultures exposed to seven antiarrhythmic drugs. CardioMEA holds great potential as an intuitive, user-friendly platform for studying cardiac diseases and assessing drug effects.

    Keywords: cardiac arrhythmia, microelectrode array, machine learning, antiarrhythmic drug, induced pluripotent stem cell

    Received: 28 Jul 2024; Accepted: 18 Oct 2024.

    Copyright: © 2024 Lee, Duperrex, El-Battrawy, Hohn, Saguner, Duru, Emmenegger, Cyganek, Hierlemann and Ulusan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Jihyun Lee, ETH Zürich, Zurich, Switzerland
    Alyssa Hohn, Partner Site Heidelberg/Mannheim, German Centre for Cardiovascular Research (DZHK), Heidelberg, Baden-Württemberg, Germany
    Andreas R. Hierlemann, ETH Zürich, Zurich, Switzerland
    Hasan Ulusan, ETH Zürich, Zurich, Switzerland

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.