1
|
Díez-Delhoyo F, Sánchez De La Nava AM, Sanz-Ruiz R, Ávila P, González-Torrecilla E, Delgado-Montero A, López J, Bermejo J, Arenal Á, Atienza F, Fernández-Avilés F. Combined atrial fibrillation ablation and balloon mitral commissurotomy in patients with rheumatic mitral stenosis. J Cardiovasc Electrophysiol 2022; 33:2485-2495. [PMID: 36168873 DOI: 10.1111/jce.15686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 08/03/2022] [Accepted: 09/17/2022] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Ablation of atrial fibrillation (AF) is usually not considered in patients with rheumatic mitral stenosis (RMS). We analyzed the results of a combined procedure of AF ablation and percutaneous balloon mitral commissurotomy (PBMC). METHODS We prospectively included 22 patients with severe RMS to undergo a combined PBMC + AF ablation procedure. Noninvasive mapping of the atria was also performed. A historical sample of propensity-scored matched patients who underwent PBMC alone was used as controls. The primary endpoint was freedom from AF/AT at 1-year. Multivariate analysis evaluated sinus rhythm (SR) predictors. RESULTS Successful pulmonary vein isolation and electrocardiographic imaging-based drivers ablation was performed in 20 patients following PBMC. At 1-year, 75% of the patients in the combined group were in SR compared to 40% in the propensity-score matched group (p = 0.004). The composite of AF recurrence, need for mitral surgery and all-cause mortality was also more frequent in the control group (65% vs. 30%; p = 0.005). Catheter ablation (odds ratio [OR] 1.58; 95% confidence interval [CI] [1.17-17.37]; p = 0.04) and AF type (OR 1.46; 95% CI [1.05-82.64]; p < 0.001) were the only independent predictors of SR at 1-year. Noninvasive mapping in the combined group showed that the number of simultaneous rotors (OR 2.10; 95% CI [1.41-10.2]; p = 0.04) was the only independent predictor of AF. CONCLUSION A combined procedure of AF ablation and PBMC significantly increased the proportion of patients in sinus rhythm at 1-year. Noninvasive mapping may help to improve AF characterization and guide personalized AF treatment.
Collapse
Affiliation(s)
- Felipe Díez-Delhoyo
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain.,Facultad de Medicina, Universidad Complutense de, Madrid, Spain
| | - Ana María Sánchez De La Nava
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain.,Universitat Politècnica de València, València, Spain
| | - Ricardo Sanz-Ruiz
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain.,Facultad de Medicina, Universidad Complutense de, Madrid, Spain
| | - Pablo Ávila
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain.,Facultad de Medicina, Universidad Complutense de, Madrid, Spain
| | - Esteban González-Torrecilla
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain.,Facultad de Medicina, Universidad Complutense de, Madrid, Spain
| | - Antonia Delgado-Montero
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain.,Facultad de Medicina, Universidad Complutense de, Madrid, Spain
| | - Jairo López
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain.,Facultad de Medicina, Universidad Complutense de, Madrid, Spain
| | - Javier Bermejo
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain.,Facultad de Medicina, Universidad Complutense de, Madrid, Spain
| | - Ángel Arenal
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain.,Facultad de Medicina, Universidad Complutense de, Madrid, Spain
| | - Felipe Atienza
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain.,Facultad de Medicina, Universidad Complutense de, Madrid, Spain
| | - Francisco Fernández-Avilés
- Department of Cardiology, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.,CIBERCV, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain.,Facultad de Medicina, Universidad Complutense de, Madrid, Spain
| |
Collapse
|
2
|
Montero-Calle P, Flandes-Iparraguirre M, Mountris K, S de la Nava A, Laita N, Rosales RM, Iglesias-García O, De-Juan-Pardo EM, Atienza F, Fernández-Santos ME, Peña E, Doblaré M, Gavira JJ, Fernández-Avilés F, Prosper F, Pueyo E, Mazo Vega MM. Fabrication of human myocardium using multidimensional modelling of engineered tissues. Biofabrication 2022; 14. [PMID: 36007502 DOI: 10.1088/1758-5090/ac8cb3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 08/25/2022] [Indexed: 11/12/2022]
Abstract
Biofabrication of human tissues has seen a meteoric growth triggered by recent technical advancements such as human induced pluripotent stem cells (hiPSCs) and additive manufacturing. However, generation of cardiac tissue is still hampered by lack of addequate mechanical properties and crucially by the often unpredictable post-fabrication evolution of biological components. In this study we employ melt electrowriting (MEW) and hiPSC-derived cardiac cells to generate fibre-reinforced human cardiac minitissues. These are thoroughly characterized in order to build computational models and simulations able to predict their post-fabrication evolution. Our results show that MEW-based human minitissues display advanced maturation 28 post-generation, with a significant increase in the expression of cardiac genes such as MYL2, GJA5, SCN5A and the MYH7/MYH6 and MYL2/MYL7 ratios. Human iPSC-cardiomyocytes are significantly more aligned within the MEW-based 3D tissues, as compared to conventional 2D controls, and also display greater expression of CX43. These are also correlated with a more mature functionality in the form of faster conduction velocity. We used these data to develop simulations capable of accurately reproducing the experimental performance. In-depth gauging of the structural disposition (cellular alignment) and intercellular connectivity (CX43) allowed us to develop an improved computational model able to predict the relationship between cardiac cell alignment and functional performance. This study lays down the path for advancing in the development of in silico tools to predict cardiac biofabricated tissue evolution after generation, and maps the route towards more accurate and biomimetic tissue manufacture.
Collapse
Affiliation(s)
| | | | - Konstantinos Mountris
- Aragón Institute for Engineering Research, Mariano Esquillor Gómez, Zaragoza, 50018 , SPAIN
| | - Ana S de la Nava
- Hospital General Universitario Gregorio Marañón, 46, Dr. Esquerdo, Madrid, Madrid, 28007, SPAIN
| | - Nicolás Laita
- Aragón Institute for Engineering Research, Mariano Esquillor Gómez, Zaragoza, 50018, SPAIN
| | - Ricardo M Rosales
- Aragón Institute for Engineering Research, Mariano Esquillor Gómez, Zaragoza, 50018, SPAIN
| | | | - Elena M De-Juan-Pardo
- Mechanical Engineering, University of Western Australia Faculty of Engineering Computing and Mathematics, M050, B.Block, 1.36, 35 Stirling Highway, Perth, Perth, Western Australia, 6009, AUSTRALIA
| | - Felipe Atienza
- Hospital General Universitario Gregorio Marañón, 46, Dr. Esquerdo st, Madrid, Madrid, 28007, SPAIN
| | | | - Estefanía Peña
- Aragón Institute for Engineering Research, Mariano Esquillor Gómez, Zaragoza, 50018, SPAIN
| | - Manuel Doblaré
- Instituto de Investigación en Ingeniería de Aragón, Mariano Esquillor Gómez, Zaragoza, 50018, SPAIN
| | - Juan J Gavira
- Department of Cardiology, Clínica Universidad de Navarra, Pio XII av, Pamplona, 31008, SPAIN
| | | | - Felipe Prosper
- Hematology, Universidad de Navarra, Pio XII, 36, Pamplona, Navarra, 31008, SPAIN
| | - Esther Pueyo
- Instituto de Investigación en Ingeniería de Aragón, Calle Mariano Esquillor s/n, Zaragoza, 50018, SPAIN
| | | |
Collapse
|
3
|
Electrophysiological Effects of Extracellular Vesicles Secreted by Cardiosphere-Derived Cells: Unraveling the Antiarrhythmic Properties of Cell Therapies. Processes (Basel) 2020. [DOI: 10.3390/pr8080924] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Although cell-based therapies show potential antiarrhythmic effects that could be mediated by their paracrine action, the mechanisms and the extent of these effects were not deeply explored. We investigated the antiarrhythmic mechanisms of extracellular vesicles secreted by cardiosphere-derived cell extracellular vesicles (CDC-EVs) on the electrophysiological properties and gene expression profile of HL1 cardiomyocytes. HL-1 cultures were primed with CDC-EVs or serum-free medium alone for 48 h, followed by optical mapping and gene expression analysis. In optical mapping recordings, CDC-EVs reduced the activation complexity of the cardiomyocytes by 40%, increased rotor meandering, and reduced rotor curvature, as well as induced an 80% increase in conduction velocity. HL-1 cells primed with CDC-EVs presented higher expression of SCN5A, CACNA1C, and GJA1, coding for proteins involved in INa, ICaL, and Cx43, respectively. Our results suggest that CDC-EVs reduce activation complexity by increasing conduction velocity and modifying rotor dynamics, which could be driven by an increase in expression of SCN5A and CACNA1C genes, respectively. Our results provide new insights into the antiarrhythmic mechanisms of cell therapies, which should be further validated using other models.
Collapse
|