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T-world Virtual Human Cardiomyocyte. I. Development, Validation, And Cell Arrhythmogenesis.

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T-world Virtual Human Cardiomyocyte. I. Development, Validation, And Cell Arrhythmogenesis.

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T-World Virtual Human Cardiomyocyte. I. Development, Validation, and Cell Arrhythmogenesis.

Jakub Tomek^1,2, Maxx Holmes³, Thomas Bury⁴

¹Department of Anatomy, Physiology and Genetics (J.T., H.J.), University of Oxford, United Kingdom.

Circulation Research

|April 7, 2026

View abstract on PubMed

Summary

This summary is machine-generated.

A new virtual human cardiomyocyte model, T-World, accurately simulates cardiac behaviors and arrhythmias. This advanced tool overcomes limitations of previous models, offering improved predictions for cardiovascular research and drug development.

Keywords:

action potentials arrhythmias, cardiac cardiovascular diseases morbidity myocytes, cardiac

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Area of Science:

Computational Biology
Cardiovascular Research
Biophysics

Background:

Cardiovascular disease is a leading cause of death globally.
Existing virtual cardiomyocyte models lack generality and predictive power.
Improved computational models are needed for mechanistic understanding and therapeutic strategies.

Purpose of the Study:

Develop a novel, general, and predictive human ventricular cardiomyocyte model.
Overcome limitations in existing cellular models for arrhythmia research.
Enhance the translational utility of virtual cardiomyocytes.

Main Methods:

Developed T-World, a data-driven virtual human cardiomyocyte model.
Incorporated sex-specific excitation-contraction coupling and signaling pathways.

Innovated calcium handling mechanisms and ion transporter formulations.

Main Results:

T-World demonstrates strong agreement with experimental data on electrophysiology and contraction.
The model accurately predicts drug-induced action potential changes and sympathetic stimulation effects.
T-World recapitulates key mechanisms of life-threatening arrhythmias and reveals sex-specific differences.

Conclusions:

T-World is a highly general and predictive open-source model of human ventricular cardiomyocytes.
The model is suitable for multiscale research on arrhythmogenesis determinants.
T-World advances computational approaches in cardiovascular research.