E. Grandi

Caveolar Compartmentalization is Required for Stable Rhythmicity of Sinus Nodal Cells and is Disrupted in Heart Failure

This study shows caveolae compartmentalize key proteins in SAN pacemaking, and their disruption leads to heart failure-related arrhythmias.

Enhanced Ca2+-Driven Arrhythmias in Female Patients with Atrial Fibrillation: Insights from Computational Modeling

This study uses computational models to show female atrial cardiomyocytes in AF have higher Ca2+-driven arrhythmia risk than males, with specific interventions identified to address these differences.

Dual effects of the small-conductance Ca2+-activated K+ current on human atrial electrophysiology and Ca2+-driven arrhythmogenesis: an in silico study

This study uses in silico models to show that modulating the SK current in human atrial myocytes can both promote and prevent arrhythmias depending on the underlying mechanism.

Multiplatform Modeling of Atrial Fibrillation Identifies Phospholamban as Central Regulator of Cardiac Rhythm

This paper develops a multi-model platform to study atrial fibrillation-associated genes, identifying phospholamban as a key regulator of cardiac rhythm through interactions with calcium handling proteins.

Mechanisms of spontaneous Ca2+ release-mediated arrhythmia in a novel 3D human atrial myocyte model: II. Ca2+-handling protein variation

This paper uses a 3D human atrial myocyte model to study how changes in Ca2+-handling proteins and TATS density affect arrhythmia mechanisms in disease.

Mechanisms of spontaneous Ca2+ release-mediated arrhythmia in a novel 3D human atrial myocyte model: I. Transverse-axial tubule variation

This study develops a 3D human atrial myocyte model to investigate how variations in transverse-axial tubule systems (TATS) affect Ca2+ handling and promote arrhythmia through spontaneous Ca2+ release.

The funny current If is essential for the fight-or-flight response in cardiac pacemaker cells

This study identifies the role of the funny current If in mediating the fight-or-flight response in cardiac pacemaker cells using machine learning and dynamic clamp experiments.

Integrative human atrial modeling unravels interactive PKA and CaMKII signaling as key determinant of atrial arrhythmogenesis

This paper develops a computational framework to simulate human atrial electrophysiology and Ca2+-handling, revealing synergistic PKA and CaMKII signaling as key drivers of atrial arrhythmogenesis.

Sex-specific classification of drug-induced Torsade de Pointes susceptibility using cardiac simulations and machine learning

This paper develops sex-specific TdP risk classifiers using cardiac simulations and machine learning, finding that male-based models underestimate female TdP risk.

Bi-directional flow of the funny current (If) during the pacemaking cycle in murine sinoatrial node myocytes

This study quantifies the funny current (If) in murine sinoatrial node myocytes, showing its persistent activity and dual role in driving membrane potential oscillations during pacemaking.