Kervadec, A., Kezos, J., Ni, H., Yu, M., Marchant, J., Spiering, S., Kannan, S., Kwon, C., Andersen, P., Bodmer, R., Grandi, E., Ocorr, K., Colas, A.R. (2023). Multiplatform modeling of atrial fibrillation identifies phospholamban as a central regulator of cardiac rhythm.  Dis. Model Mech. 16(7): dmm049962.

FBrf0257020

Research paper

Atrial fibrillation (AF) is a common and genetically inheritable form of cardiac arrhythmia; however, it is currently not known how these genetic predispositions contribute to the initiation and/or maintenance of AF-associated phenotypes. One major barrier to progress is the lack of experimental systems to investigate the effects of gene function on rhythm parameters in models with human atrial and whole-organ relevance. Here, we assembled a multi-model platform enabling high-throughput characterization of the effects of gene function on action potential duration and rhythm parameters using human induced pluripotent stem cell-derived atrial-like cardiomyocytes and a Drosophila heart model, and validation of the findings using computational models of human adult atrial myocytes and tissue. As proof of concept, we screened 20 AF-associated genes and identified phospholamban loss of function as a top conserved hit that shortens action potential duration and increases the incidence of arrhythmia phenotypes upon stress. Mechanistically, our study reveals that phospholamban regulates rhythm homeostasis by functionally interacting with L-type Ca2+ channels and NCX. In summary, our study illustrates how a multi-model system approach paves the way for the discovery and molecular delineation of gene regulatory networks controlling atrial rhythm with application to AF.

PMC10387351 (PMC) (EuropePMC)