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October 11, 2025Frontiers in Bioengineering and Biotechnology8 citationsOpen Access

Electrical stimulation: a missing key to promote maturation of human pluripotent stem cell-derived cardiomyocytes in three-dimensional cardiac tissues

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SSSem SterckelUniversity of TwenteRPRobert PassierHeart Failure & TransplantJRJosé M. Rivera‐ArbeláezMax Planck University of Twente Center for Complex Fluid Dynamics

Key Points

  • Electrical stimulation significantly enhances maturation of human pluripotent stem cell-derived cardiomyocytes, driving better contractile function.
  • Review findings indicate improved calcium handling and sarcomere organization in cardiomyocytes subjected to electrical pacing in three-dimensional environments.
  • Research discusses technological parameters like electric field voltage and pulse duration, which are crucial for effective maturation of heart cells.
  • Optimizing electrical stimulation configurations is essential for integrating with other maturation strategies to improve in vitro cardiac models.

Abstract

The maturation of human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) remains a major challenge in developing functional in vitro cardiac models. While three-dimensional (3D) culture systems improve structural and metabolic properties, they do not fully recapitulate adult cardiomyocyte physiology. Exogenous electrical stimulation has emerged as complementary strategy to further drive maturation. This review highlights both the maturation effects of electrical pacing in 3D cardiac tissues, including enhanced sarcomere organization, conduction velocity, calcium handling, and contractile function. It also discusses the technological parameters used to achieve these outcomes, such as electric field voltage (EFV), pulse duration (PD), stimulation waveform, electrode materials, and pacing protocols, and how these factors influence hPSC-CM development. Despite progress, further research is needed to optimize stimulation setups and to integrate electrical pacing with other maturation cues. Advancing high-throughput, miniaturized platforms will be essential for translating these models into biomedical applications like drug discovery and disease modeling.

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Cite This Study

Sterckel et al. (2025) studied this question.

synapsesocial.com/papers/68e9b1c1ba7d64b6fc13221chttps://doi.org/10.3389/fbioe.2025.1686342
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