Non-Invasive electrophysiological monitoring of cardiac organoids using 3D-Net-assisted microelectrodes array platform

non-invasive-electrophysiological-monitoring-of-cardiac-organoids-using-3d-net-assisted-microelectrodes-array-platform
Non-Invasive electrophysiological monitoring of cardiac organoids using 3D-Net-assisted microelectrodes array platform

Scientific Reports , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

Abstract

The rapid advancement of organoids has increased interest in replacing conventional 2D alternatives to animal testing. In drug development, cardiotoxicity assessment is essential, and electrophysiological signals from cardiomyocytes serve as key biomarkers. Accordingly, planar 2D microelectrode array (MEA) chips are widely used. However, cardiomyocytes-based platform fails to reproduce complex in vivo physiological responses, leading to the combination of human cardiac organoids (hCdOs) with 3D sensors. Most of these approaches remain in the research stage and lack standardization. Therefore, there is still a need for methods that can stably evaluate organoids using commercially available 2D MEA chips. In this study, a silicon-based 3D-Net was introduced to enable stable monitoring of hCdOs electrophysiological signals on MEA chip. hCdOs fabricated using established protocols showed morphological and functional reproducibility suitable for drug testing. The 3D-Net prevented organoid flotation, ensured sufficient medium supply, and enabled measurements beyond acute assessment periods without functional impairment. Drug responsiveness varied significantly depending on the presence of 3D-Net and the volume of drug-containing medium. The 3D-Net platform overcomes the limitations of MEA, providing an effective and non-invasive method for functional evaluation and drug screening of hCdOs. Furthermore, this approach is expected to support preclinical evaluation of drug efficacy and safety.

Data availability

All data generated or analyzed during this study are included in this published article.

References

  1. Ferdinandy, P. et al. Definition of hidden drug cardiotoxicity: paradigm change in cardiac safety testing and its clinical implications. Eur. Heart J. 40, 1771–1777. https://doi.org/10.1093/eurheartj/ehy365 (2019).

    Google Scholar 

  2. Han, J. J. FDA modernization act 2.0 allows for alternatives to animal testing. Artif. Organs. 47, 449–450. https://doi.org/10.1111/aor.14503 (2023).

    Google Scholar 

  3. Sager, P. T., Gintant, G., Turner, J. R., Pettit, S. & Stockbridge, N. Rechanneling the cardiac proarrhythmia safety paradigm: a meeting report from the cardiac safety research consortium. Am. Heart J. 167, 292–300. https://doi.org/10.1016/j.ahj.2013.11.004 (2014).

    Google Scholar 

  4. Darpo, B., Nebout, T. & Sager, P. T. Clinical evaluation of QT/QTc prolongation and proarrhythmic potential for nonantiarrhythmic drugs: the international conference on harmonization of technical requirements for registration of pharmaceuticals for human use E14 guideline. J. Clin. Pharmacol. 46, 498–507. https://doi.org/10.1177/0091270006286436 (2006).

    Google Scholar 

  5. Blinova, K. et al. International multisite study of Human-Induced pluripotent stem Cell-Derived cardiomyocytes for drug proarrhythmic potential assessment. Cell. Rep. 24, 3582–3592. https://doi.org/10.1016/j.celrep.2018.08.079 (2018).

    Google Scholar 

  6. Millard, D. et al. Cross-Site reliability of human induced pluripotent stem cell-derived cardiomyocyte based safety assays using microelectrode arrays: results from a blinded CiPA pilot study. Toxicol. Sci. 164, 550–562. https://doi.org/10.1093/toxsci/kfy110 (2018).

    Google Scholar 

  7. Kim, H., Kamm, R. D., Vunjak-Novakovic, G. & Wu, J. C. Progress in multicellular human cardiac organoids for clinical applications. Cell. Stem cell. 29, 503–514. https://doi.org/10.1016/j.stem.2022.03.012 (2022).

    Google Scholar 

  8. Lee, S. G. et al. Generation of human iPSCs derived heart organoids structurally and functionally similar to heart. Biomaterials 290, 121860. https://doi.org/10.1016/j.biomaterials.2022.121860 (2022).

    Google Scholar 

  9. Hofbauer, P. et al. Cardioids reveal self-organizing principles of human cardiogenesis. Cell 184, 3299–3317e3222. https://doi.org/10.1016/j.cell.2021.04.034 (2021).

    Google Scholar 

  10. Lewis-Israeli, Y. R. et al. Self-assembling human heart organoids for the modeling of cardiac development and congenital heart disease. Nat. Commun. 12, 5142. https://doi.org/10.1038/s41467-021-25329-5 (2021).

    Google Scholar 

  11. Heinzelmann, E. et al. iPSC-derived and Patient-Derived organoids: applications and challenges in scalability and reproducibility as pre-clinical models. Curr. Res. Toxicol. 7, 100197. https://doi.org/10.1016/j.crtox.2024.100197 (2024).

    Google Scholar 

  12. Zhang, Y. S. et al. From cardiac tissue engineering to heart-on-a-chip: beating challenges. Biomedical Mater. (Bristol England). 10, 034006. https://doi.org/10.1088/1748-6041/10/3/034006 (2015).

    Google Scholar 

  13. Giacomelli, E. et al. Human-iPSC-Derived cardiac stromal cells enhance maturation in 3D cardiac microtissues and reveal Non-cardiomyocyte contributions to heart disease. Cell. Stem cell. 26, 862–879e811. https://doi.org/10.1016/j.stem.2020.05.004 (2020).

    Google Scholar 

  14. Yang, J. et al. Phenotypic variability in iPSC-Induced cardiomyocytes and cardiac fibroblasts carrying diverse LMNA mutations. Front. Physiol. 12 https://doi.org/10.3389/fphys.2021.778982 (2021).

  15. Piraino, F. et al. Organoid models: the future companions of personalized drug development. Biofabrication 16 https://doi.org/10.1088/1758-5090/ad3e30 (2024).

  16. Chung, W. et al. Recent advances in electrophysiological recording platforms for brain and heart organoids. Adv. NanoBiomed Res. 2 https://doi.org/10.1002/anbr.202200081 (2022).

  17. Passaro, A. P. & Stice, S. L. Electrophysiological analysis of brain organoids: current approaches and advancements. Front. NeuroSci. 14 https://doi.org/10.3389/fnins.2020.622137 (2020).

  18. Huang, Q. et al. Shell microelectrode arrays (MEAs) for brain organoids. Sci. Adv. 8, eabq5031. https://doi.org/10.1126/sciadv.abq5031 (2022).

    Google Scholar 

  19. Lee, S. J. et al. Evaluation of the cardiotoxicity of Echinochrome A using human induced pluripotent stem cell-derived cardiac organoids. Ecotoxicol. Environ. Saf. 289, 117489. https://doi.org/10.1016/j.ecoenv.2024.117489 (2025).

    Google Scholar 

  20. Lee, S. G. et al. Development of heart organoid cryopreservation method through Fe(3) O(4) nanoparticles based nanowarming system. Biotechnol. J. 19, e2300311. https://doi.org/10.1002/biot.202300311 (2024).

    Google Scholar 

  21. Quijada, P., Trembley, M. A. & Small, E. M. The role of the epicardium during heart development and repair. Circul. Res. 126, 377–394. https://doi.org/10.1161/circresaha.119.315857 (2020).

    Google Scholar 

  22. Xiao, Y. et al. Hippo signaling plays an essential role in cell state transitions during cardiac fibroblast development. Dev. Cell. 45, 153–169e156. https://doi.org/10.1016/j.devcel.2018.03.019 (2018).

    Google Scholar 

  23. Altrocchi, C. et al. Evaluation of chronic drug-induced electrophysiological and cytotoxic effects using human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). Front. Pharmacol. 14, 1229960. https://doi.org/10.3389/fphar.2023.1229960 (2023).

    Google Scholar 

  24. Denis, A. et al. Diagnostic value of isoproterenol testing in arrhythmogenic right ventricular cardiomyopathy. Circ. Arrhythm. Electrophys. 7, 590–597. https://doi.org/10.1161/circep.113.001224 (2014).

    Google Scholar 

  25. Lee, J. G. et al. PIBF1 regulates trophoblast syncytialization and promotes cardiovascular development. Nat. Commun. 15, 1487. https://doi.org/10.1038/s41467-024-45647-8 (2024).

    Google Scholar 

  26. Fair, S. R. et al. Electrophysiological maturation of cerebral organoids correlates with dynamic morphological and cellular development. Stem cell. Rep. 15, 855–868. https://doi.org/10.1016/j.stemcr.2020.08.017 (2020).

    Google Scholar 

  27. Lee, S. G. et al. Development and validation of dual-cardiotoxicity evaluation method based on analysis of field potential and contractile force of human iPSC-derived cardiomyocytes / multielectrode assay platform. Biochem. Biophys. Res. Commun. 555, 67–73. https://doi.org/10.1016/j.bbrc.2021.03.039 (2021).

    Google Scholar 

  28. Lee, H. A. et al. Guidelines for manufacturing and application of organoids: heart. Int. J. Stem Cells. 17, 130–140. https://doi.org/10.15283/ijsc24046 (2024).

    Google Scholar 

  29. Castiglione, H. et al. Towards a quality control framework for cerebral cortical organoids. Sci. Rep. 15, 29431. https://doi.org/10.1038/s41598-025-14425-x (2025).

    Google Scholar 

  30. Nakano, K., Nanri, N., Tsukamoto, Y. & Akashi, M. Mechanical activities of self-beating cardiomyocyte aggregates under mechanical compression. Sci. Rep. 11, 15159. https://doi.org/10.1038/s41598-021-93657-z (2021).

    Google Scholar 

  31. Samsa, G. & Samsa, L. A. Guide to reproducibility in preclinical research. Acad. Medicine: J. Association Am. Med. Colleges. 94, 47–52. https://doi.org/10.1097/acm.0000000000002351 (2019).

    Google Scholar 

  32. Fosse, V. et al. Recommendations for robust and reproducible preclinical research in personalised medicine. BMC Med. 21, 14. https://doi.org/10.1186/s12916-022-02719-0 (2023).

    Google Scholar 

  33. Freedman, L. P., Cockburn, I. M. & Simcoe, T. S. The economics of reproducibility in preclinical research. PLoS Biol. 13, e1002165. https://doi.org/10.1371/journal.pbio.1002165 (2015).

    Google Scholar 

  34. Trujillo, C. A. et al. Complex oscillatory waves emerging from cortical organoids model early human brain network development. Cell. Stem cell. 25, 558–569e557. https://doi.org/10.1016/j.stem.2019.08.002 (2019).

    Google Scholar 

  35. Kim, K. et al. Highly stretchable 3D microelectrode array for noninvasive functional evaluation of cardiac spheroids and midbrain organoids. Adv. Mater. (Deerfield Beach Fla). 37, e2412953. https://doi.org/10.1002/adma.202412953 (2025).

    Google Scholar 

  36. Lee, J. & Liu, J. Flexible and stretchable bioelectronics for organoids. Med-X 3, 5. https://doi.org/10.1007/s44258-024-00046-y (2025).

    Google Scholar 

  37. Bang, J. S. et al. Optimization of episomal reprogramming for generation of human induced pluripotent stem cells from fibroblasts. Anim. Cells Syst. 22, 132–139. https://doi.org/10.1080/19768354.2018.1451367 (2018).

    Google Scholar 

  38. Lee, S. G. et al. Dual-cardiotoxicity evaluation of Torsadogenic risk drugs using human iPSC-derived cardiomyocytes. Biochem. Biophys. Res. Commun. 786 https://doi.org/10.1016/j.bbrc.2025.152756 (2025).

  39. Clements, M. & Thomas, N. High-throughput multi-parameter profiling of electrophysiological drug effects in human embryonic stem cell derived cardiomyocytes using multi-electrode arrays. Toxicol. Sci. 140, 445–461. https://doi.org/10.1093/toxsci/kfu084 (2014).

    Google Scholar 

Download references

Acknowledgements

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (RS-2025–00559450), and by the Industrial Strategic Technology Development Program (RS-2024-00448561) funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea) in 2025. This paper was supported by the KU Research Professor Program of Konkuk University.

Funding

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (RS-2025–00559450), and by the Industrial Strategic Technology Development Program (RS-2024-00448561) funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea) in 2025.

Author information

Authors and Affiliations

  1. College of Veterinary Medicine, Konkuk University, Seoul, 05029, Republic of Korea

    Shinhye Park, C-Yoon Kim & Seul-Gi Lee

  2. Cellames Inc, 405, 19 Wiryegwangjang‑ro, Sujeong‑gu, Seongnam‑si, Gyeonggi‑do, Republic of Korea

    Sang-Jun Cho

  3. Department of Stem Cell Biology, School of Medicine, Konkuk University, 120 Neungdong- Ro, Gwangjin-Gu, Seoul, 05029, Republic of Korea

    Hyung Min Chung

Authors

  1. Shinhye Park
  2. Sang-Jun Cho
  3. C-Yoon Kim
  4. Hyung Min Chung
  5. Seul-Gi Lee

Contributions

S.P.: conception and design, collection and/or assembly of data, data analysis and interpretation, and manuscript writing. S.J.C., C.Y.K., and H.M.C.: Conception and design. S.G.L.: Supervision of the study, conception and design, collection and/or assembly of data, data analysis and interpretation, and manuscript writing.

Corresponding author

Correspondence to Seul-Gi Lee.

Ethics declarations

Competing interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Park, S., Cho, SJ., Kim, CY. et al. Non-Invasive electrophysiological monitoring of cardiac organoids using 3D-Net-assisted microelectrodes array platform. Sci Rep (2026). https://doi.org/10.1038/s41598-025-34504-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1038/s41598-025-34504-3

Keywords

Supplementary Material 2Supplementary Material 3Supplementary Material 4

Associated content