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Forouzandehmehr M, Paci M, Hyttinen J, Koivumäki JT. In silico study of the mechanisms of hypoxia and contractile dysfunction during ischemia and reperfusion of hiPSC cardiomyocytes. Dis Model Mech 2024; 17:dmm050365. [PMID: 38516812 PMCID: PMC11073514 DOI: 10.1242/dmm.050365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 03/15/2024] [Indexed: 03/23/2024] Open
Abstract
Interconnected mechanisms of ischemia and reperfusion (IR) has increased the interest in IR in vitro experiments using human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). We developed a whole-cell computational model of hiPSC-CMs including the electromechanics, a metabolite-sensitive sarcoplasmic reticulum Ca2+-ATPase (SERCA) and an oxygen dynamics formulation to investigate IR mechanisms. Moreover, we simulated the effect and action mechanism of levosimendan, which recently showed promising anti-arrhythmic effects in hiPSC-CMs in hypoxia. The model was validated using hiPSC-CM and in vitro animal data. The role of SERCA in causing relaxation dysfunction in IR was anticipated to be comparable to its function in sepsis-induced heart failure. Drug simulations showed that levosimendan counteracts the relaxation dysfunction by utilizing a particular Ca2+-sensitizing mechanism involving Ca2+-bound troponin C and Ca2+ flux to the myofilament, rather than inhibiting SERCA phosphorylation. The model demonstrates extensive characterization and promise for drug development, making it suitable for evaluating IR therapy strategies based on the changing levels of cardiac metabolites, oxygen and molecular pathways.
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Affiliation(s)
| | - Michelangelo Paci
- Department of Electrical, Electronic, and Information Engineering ‘Guglielmo Marconi’, University of Bologna, 47522 Cesena, Italy
| | - Jari Hyttinen
- Faculty of Medicine and Health Technology, Tampere University, 33520 Tampere, Finland
| | - Jussi T. Koivumäki
- Faculty of Medicine and Health Technology, Tampere University, 33520 Tampere, Finland
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Adeniran I, Wadee H, Degens H. An In Silico Cardiomyocyte Reveals the Impact of Changes in CaMKII Signalling on Cardiomyocyte Contraction Kinetics in Hypertrophic Cardiomyopathy. BIOMED RESEARCH INTERNATIONAL 2024; 2024:6160554. [PMID: 38567164 PMCID: PMC10985279 DOI: 10.1155/2024/6160554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 02/27/2024] [Accepted: 03/09/2024] [Indexed: 04/04/2024]
Abstract
Hypertrophic cardiomyopathy (HCM) is characterised by asymmetric left ventricular hypertrophy, ventricular arrhythmias, and cardiomyocyte dysfunction that may cause sudden death. HCM is associated with mutations in sarcomeric proteins and is usually transmitted as an autosomal-dominant trait. The aim of this in silico study was to assess the mechanisms that underlie the altered electrophysiological activity, contractility, regulation of energy metabolism, and crossbridge cycling in HCM at the single-cell level. To investigate this, we developed a human ventricular cardiomyocyte model that incorporates electrophysiology, metabolism, and force generation. The model was validated by its ability to reproduce the experimentally observed kinetic properties of human HCM induced by (a) remodelling of several ion channels and Ca2+-handling proteins arising from altered Ca2+/calmodulin kinase II signalling pathways and (b) increased Ca2+ sensitivity of the myofilament proteins. Our simulation showed a decreased phosphocreatine-to-ATP ratio (-9%) suggesting a negative mismatch between energy expenditure and supply. Using a spatial myofilament half-sarcomere model, we also compared the fraction of detached, weakly bound, and strongly bound crossbridges in the control and HCM conditions. Our simulations showed that HCM has more crossbridges in force-producing states than in the control condition. In conclusion, our model reveals that impaired crossbridge kinetics is accompanied by a negative mismatch between the ATP supply and demand ratio. This suggests that improving this ratio may reduce the incidence of sudden death in HCM.
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Affiliation(s)
- Ismail Adeniran
- Centre for Advanced Computational Science, Manchester Metropolitan University, Manchester M15 6BH, UK
| | - Hafsa Wadee
- Centre for Advanced Computational Science, Manchester Metropolitan University, Manchester M15 6BH, UK
| | - Hans Degens
- Department of Life Sciences, Manchester Metropolitan University, Manchester M15 6BH, UK
- Lithuanian Sports University, Sporto 6, LT-44221 Kaunas, Lithuania
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Vuorenpää H, Björninen M, Välimäki H, Ahola A, Kroon M, Honkamäki L, Koivumäki JT, Pekkanen-Mattila M. Building blocks of microphysiological system to model physiology and pathophysiology of human heart. Front Physiol 2023; 14:1213959. [PMID: 37485060 PMCID: PMC10358860 DOI: 10.3389/fphys.2023.1213959] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 06/26/2023] [Indexed: 07/25/2023] Open
Abstract
Microphysiological systems (MPS) are drawing increasing interest from academia and from biomedical industry due to their improved capability to capture human physiology. MPS offer an advanced in vitro platform that can be used to study human organ and tissue level functions in health and in diseased states more accurately than traditional single cell cultures or even animal models. Key features in MPS include microenvironmental control and monitoring as well as high biological complexity of the target tissue. To reach these qualities, cross-disciplinary collaboration from multiple fields of science is required to build MPS. Here, we review different areas of expertise and describe essential building blocks of heart MPS including relevant cardiac cell types, supporting matrix, mechanical stimulation, functional measurements, and computational modelling. The review presents current methods in cardiac MPS and provides insights for future MPS development with improved recapitulation of human physiology.
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Affiliation(s)
- Hanna Vuorenpää
- Centre of Excellence in Body-on-Chip Research (CoEBoC), BioMediTech, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Adult Stem Cell Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Research, Development and Innovation Centre, Tampere University Hospital, Tampere, Finland
| | - Miina Björninen
- Centre of Excellence in Body-on-Chip Research (CoEBoC), BioMediTech, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Adult Stem Cell Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Research, Development and Innovation Centre, Tampere University Hospital, Tampere, Finland
| | - Hannu Välimäki
- Centre of Excellence in Body-on-Chip Research (CoEBoC), BioMediTech, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Micro- and Nanosystems Research Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Antti Ahola
- Centre of Excellence in Body-on-Chip Research (CoEBoC), BioMediTech, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Computational Biophysics and Imaging Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mart Kroon
- Centre of Excellence in Body-on-Chip Research (CoEBoC), BioMediTech, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Biomaterials and Tissue Engineering Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Laura Honkamäki
- Centre of Excellence in Body-on-Chip Research (CoEBoC), BioMediTech, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Neuro Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jussi T. Koivumäki
- Centre of Excellence in Body-on-Chip Research (CoEBoC), BioMediTech, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Computational Biophysics and Imaging Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mari Pekkanen-Mattila
- Centre of Excellence in Body-on-Chip Research (CoEBoC), BioMediTech, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Heart Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
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