ArticlebioRxiv : the preprint server for biology2026
Patient-Specific Heart Rate Modulates Developmental Electrophysiology in Transcriptomic-Guided In Silico Models of Pediatric Human Atrial Cardiomyocytes.
Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Cardiac electrophysiology adapts throughout pediatric development, driven by factors including age-associated ion channel expression changes and decreasing heart rate. Our prior transcriptomic-guided simulations of human atrial cardiomyocytes predicted developmental-associated changes in electrophysiology biomarkers at a fixed pacing rate, leaving the contribution of age- and patient-specific heart rate unresolved. In this study, we incorporated intrinsic heart rate into gene expression-guided computational models to predict the interaction between developmental maturation and pacing rate to shape atrial electrophysiology. Virtual patient-specific populations of atrial cardiomyocytes were generated from the right atrial cardiomyocyte gene expression data from 117 patients, spanning neonates to young adults. We simulated each population at pacing rates corresponding to each patient's intrinsic ECG-based heart rate and at fixed rates corresponding to the patient cohort minimum, median, and maximum. Action potential and calcium transient biomarkers were quantified, and partial least squares regression assessed key biomarker dependencies. For intrinsic-rate pacing conditions, action potential duration at 50% and 90% repolarization increased with age, whereas early repolarization shortened; maximum upstroke velocity increased, resting membrane potential became more negative, and alternans prevalence decreased. Developmental differences persisted during fixed-rate pacing conditions, indicating that differences were not explained solely by the faster heart rates of younger patients. Notably, intrinsic-rate simulations exhibited stronger age associations for upstroke velocity and alternans than fixed-rate simulations. Sensitivity analyses indicated that electrophysiological phenotypes arose from interactions among ionic conductances, calcium handling, age, and heart rate. Collectively, we find that pediatric atrial electrophysiology reflects both intrinsic developmental remodeling and rate-dependent modulation.
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