1
|
Kussauer S, Dilk P, Elleisy M, Michaelis C, Lichtwark S, Rimmbach C, David R, Jung J. Heart rhythm in vitro: measuring stem cell-derived pacemaker cells on microelectrode arrays. Front Cardiovasc Med 2024; 11:1200786. [PMID: 38450366 PMCID: PMC10915086 DOI: 10.3389/fcvm.2024.1200786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 02/05/2024] [Indexed: 03/08/2024] Open
Abstract
Background Cardiac arrhythmias have markedly increased in recent decades, highlighting the urgent need for appropriate test systems to evaluate the efficacy and safety of new pharmaceuticals and the potential side effects of established drugs. Methods The Microelectrode Array (MEA) system may be a suitable option, as it provides both real-time and non-invasive monitoring of cellular networks of spontaneously active cells. However, there is currently no commercially available cell source to apply this technology in the context of the cardiac conduction system (CCS). In response to this problem, our group has previously developed a protocol for the generation of pure functional cardiac pacemaker cells from mouse embryonic stem cells (ESCs). In addition, we compared the hanging drop method, which was previously utilized, with spherical plate-derived embryoid bodies (EBs) and the pacemaker cells that are differentiated from these. Results We described the application of these pacemaker cells on the MEA platform, which required a number of crucial optimization steps in terms of coating, dissociation, and cell density. As a result, we were able to generate a monolayer of pure pacemaker cells on an MEA surface that is viable and electromechanically active for weeks. Furthermore, we introduced spherical plates as a convenient and scalable method to be applied for the production of induced sinoatrial bodies. Conclusion We provide a tool to transfer modeling and analysis of cardiac rhythm diseases to the cell culture dish. Our system allows answering CCS-related queries within a cellular network, both under baseline conditions and post-drug exposure in a reliable and affordable manner. Ultimately, our approach may provide valuable guidance not only for cardiac pacemaker cells but also for the generation of an MEA test platform using other sensitive non-proliferating cell types.
Collapse
Affiliation(s)
- Sophie Kussauer
- Department of Cardiac Surgery, Rostock University Medical Centre, Rostock, Germany
- Department of Life, Light, & Matter, University of Rostock, Rostock, Germany
| | - Patrick Dilk
- Department of Cardiac Surgery, Rostock University Medical Centre, Rostock, Germany
- Department of Life, Light, & Matter, University of Rostock, Rostock, Germany
| | - Moustafa Elleisy
- Department of Cardiac Surgery, Rostock University Medical Centre, Rostock, Germany
- Department of Life, Light, & Matter, University of Rostock, Rostock, Germany
| | - Claudia Michaelis
- Department of Cardiac Surgery, Rostock University Medical Centre, Rostock, Germany
- Department of Life, Light, & Matter, University of Rostock, Rostock, Germany
| | - Sarina Lichtwark
- Department of Cardiac Surgery, Rostock University Medical Centre, Rostock, Germany
- Department of Life, Light, & Matter, University of Rostock, Rostock, Germany
| | - Christian Rimmbach
- Department of Cardiac Surgery, Rostock University Medical Centre, Rostock, Germany
- Department of Life, Light, & Matter, University of Rostock, Rostock, Germany
| | - Robert David
- Department of Cardiac Surgery, Rostock University Medical Centre, Rostock, Germany
- Department of Life, Light, & Matter, University of Rostock, Rostock, Germany
| | - Julia Jung
- Department of Cardiac Surgery, Rostock University Medical Centre, Rostock, Germany
- Department of Life, Light, & Matter, University of Rostock, Rostock, Germany
| |
Collapse
|
2
|
Nie Y, Song C, Tang H. Editorial: Transcriptional regulation in cardiovascular diseases. Front Cardiovasc Med 2024; 11:1360765. [PMID: 38298758 PMCID: PMC10827854 DOI: 10.3389/fcvm.2024.1360765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Accepted: 01/03/2024] [Indexed: 02/02/2024] Open
Affiliation(s)
- Yali Nie
- Hunan Provincial Key Laboratory of Multi-Omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan, China
- Department of Cardiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
- Department of Cardiology, The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan, China
- Clinical Research Center for Myocardial Injury in Hunan Province, Hengyang, Hunan, China
| | - Chao Song
- Hunan Provincial Key Laboratory of Multi-Omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan, China
- Department of Cardiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
- Department of Cardiology, The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan, China
- Clinical Research Center for Myocardial Injury in Hunan Province, Hengyang, Hunan, China
- Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Huifang Tang
- Hunan Provincial Key Laboratory of Multi-Omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan, China
- Department of Cardiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
- Department of Cardiology, The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan, China
- Clinical Research Center for Myocardial Injury in Hunan Province, Hengyang, Hunan, China
- Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| |
Collapse
|