ArticleJournal of molecular and cellular cardiology plus2025
Sex-specific human electromechanical multiscale in-silico models for virtual therapy evaluation.
Article in Journal of molecular and cellular cardiology plus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Cardiac remodelling in type 2 diabetes: Pathophysiological mechanisms and opportunities for multiscale computational modelling and simulation.The Journal of physiology · 2026Review
- Beyond Molecular Structures: Investigating Demographic Factors in Drug-Induced Cardiotoxicity Prediction Models.Journal of chemical information and modeling · 2026Article
- Sex-specific virtual population for the prediction and assessment of arrhythmia risk.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026Article
- T-World Virtual Human Cardiomyocyte. II. Organ-Scale Simulations and Applications.Circulation research · 2026Article
- T-World Virtual Human Cardiomyocyte. I. Development, Validation, and Cell Arrhythmogenesis.Circulation research · 2026Article
- T-World: A highly general computational model of a human ventricular myocyte.bioRxiv : the preprint server for biology · 2025Article
- Quantitative assessment of the usability of electromechanical human-based modelling and simulation to replace Langendorff isolated rabbit heart experiments in the preclinical setting.Frontiers in pharmacology · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Women are under-represented in cardiovascular research, leading to poorer outcomes. Investigating sex-differences in electromechanical function is essential for improving therapy evaluation. This study presents sex-specific human cellular and biventricular electromechanical models for mechanistic investigation of sex-differences in therapeutic response. Methods: Protein genomic expression data from healthy human myocytes calibrated sex-specific electrophysiological models, integrated into biventricular models with male and female anatomies. Multi-scale validation utilised sex-specific clinical and experimental datasets, including responses to drug action. Ionic mechanisms underlying sex-differences in drug response were explored. Results: Simulations showed agreement with clinical ECGs, including QTc intervals (Male: 312 ms; Female: 339 ms), and T-wave amplitude (6-9 % difference). Mechanical biomarkers (LVEF, Female: 68 %; Male: 50 %) matched sex-stratified UK Biobank data ( Conclusion: Sex differences in repolarisation reserve, calcium handling, and anatomy are key factors underpinning ECG and LVEF responses to drugs. Specifically, under calcium block, females showed more preserved LVEF, while under hERG block, females showed more QTc prolongation.
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Registered trials
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