T-World Virtual Human Cardiomyocyte. I. Development, Validation, and Cell Arrhythmogenesis
BACKGROUND: Cardiovascular disease is the leading global cause of morbidity and mortality. New technologies are needed to improve mechanistic understanding and inform therapeutic strategies. Human-centric cardiac simulations show great promise; however, existing cellular models can reproduce only a few arrhythmia-driving behaviors and show important discrepancies with experimental data. We aimed to develop a new model overcoming this lack of generality, which markedly limits the predictivity and translational utility of virtual cardiomyocytes. METHODS: We developed T-World, a novel virtual human cardiomyocyte, using data-driven differential equations to describe sex-specific excitation-contraction coupling, mechanical contraction, β-adrenergic signaling, and its effects on cellular targets. The model contains several key innovations, including a new approach to coupling L-type calcium channels and ryanodine receptors, with updated calcium-dependent-inactivation of the former and novel calcium-induced refractoriness and complete reparameterization of the latter. We also redeveloped the sodium-potassium pump and made major improvements to the sodium-calcium exchanger formulation. RESULTS: ATPase) inhibition, and AP prolongation. Combined with the model's ability to simulate physiological sex-specific differences in electrophysiology, this revealed increased proclivity of female cardiomyocytes to early afterdepolarizations and steep restitution of AP duration. CONCLUSIONS: T-World is a highly general and predictive open-source computer model of a human ventricular cardiomyocyte, suitable for multiscale research studies investigating determinants of arrhythmogenesis.
Authors
- Thomas M. Bury (ORCID: https://orcid.org/0000-0003-1595-9444)
- Jakub Tomek (ORCID: https://orcid.org/0000-0002-0157-4386)
- Ambre Bertrand (ORCID: https://orcid.org/0000-0001-5116-6463)
- Norbert Nagy (ORCID: https://orcid.org/0000-0002-4557-8442)
- Michael A. Colman (ORCID: https://orcid.org/0000-0003-2817-8508)
- Markéta Tomková (ORCID: https://orcid.org/0000-0001-9094-2365)
- Maxx Holmes (ORCID: https://orcid.org/0000-0002-2299-9455)
- Alfonso Bueno-Orovio
- Donald M. Bers
- Blanca Rodriguez
- Heeseung Jo
- Jordi Heijman
Institutions
- University of Leeds (GB)
- Medical University of Graz (AT)
- University of Szeged (HU)
- Maastricht University (NL)
- University of Oxford (GB)
- Ludwig Cancer Research (GB)
- MTA-SZTE Research Group on Artificial Intelligence (HU)
- Becton Dickinson (United Kingdom) (GB)
- McGill University (CA)
- University of California, Davis (US)
Publication Details
- Journal
- Circulation Research
- Published
- 2026-04-07
- DOI
- https://doi.org/10.1161/circresaha.125.328073
- Citations
- 1
- Primary Topic
- Cardiac electrophysiology and arrhythmias
- Type
- article
- Field-Weighted Citation Impact
- 17.34