In heart failure and atrial fibrillation, a persistent Na current (I) exerts detrimental effects on cellular electrophysiology and can induce arrhythmias. We have recently shown that Na1.8 contributes to arrhythmogenesis by inducing a I. Genome-wide association studies indicate that mutations in the gene (Na1.8) are associated with increased risk for arrhythmias, Brugada syndrome, and sudden cardiac death. However, the mediation of these Na1.8-related effects, whether through cardiac ganglia or cardiomyocytes, is still a subject of controversial discussion. We used CRISPR/Cas9 technology to generate homozygous atrial -KO-iPSC-CMs. Ruptured-patch whole-cell patch-clamp was used to measure the I and action potential duration. Ca measurements (Fluo 4-AM) were performed to analyze proarrhythmogenic diastolic SR Ca leak. The I was significantly reduced in atrial KO CMs as well as after specific pharmacological inhibition of Na1.8. No effects on atrial APD were detected in any groups. Both KO and specific blockers of Na1.8 led to decreased Ca spark frequency and a significant reduction of arrhythmogenic Ca waves. Our experiments demonstrate that Na1.8 contributes to I formation in human atrial CMs and that Na1.8 inhibition modulates proarrhythmogenic triggers in human atrial CMs and therefore Na1.8 could be a new target for antiarrhythmic strategies.
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http://dx.doi.org/10.3390/ijms241210189 | DOI Listing |
J Clin Med
December 2024
Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité (DHZC), Campus Virchow-Klinikum, Augustenburger Platz 1, 13353 Berlin, Germany.
The wearable cardioverter defibrillator (WCD) has emerged as a valuable tool used for temporary protection from sudden cardiac death. However, since the WCD uses surface electrodes to detect arrhythmias, it is susceptible to inappropriate detection. Although shock conversion rates for the WCD are reported to be high for detected events, its efficacy in clinical practice tends to be degraded by patient noncompliance.
View Article and Find Full Text PDFCommun Med (Lond)
January 2025
Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA.
Background: The ability to non-invasively measure left atrial pressure would facilitate the identification of patients at risk of pulmonary congestion and guide proactive heart failure care. Wearable cardiac monitors, which record single-lead electrocardiogram data, provide information that can be leveraged to infer left atrial pressures.
Methods: We developed a deep neural network using single-lead electrocardiogram data to determine when the left atrial pressure is elevated.
Int J Mol Sci
November 2024
Department of Neuroscience, Innovative Treatment, Drug Research and Child Health, University of Firenze, 50139 Firenze, Italy.
Inflammatory cytokines, including interleukin 6 (IL6), are associated with ion channel remodeling and enhance the propensity to alterations in cardiac rhythm generation and propagation, in which the hyperpolarization-activated cyclic nucleotide-gated (HCN) channels play a crucial role. Hence, we investigated the consequences of exposure to IL6 on HCN channels in cell models and human atrial biopsies. In murine atrial HL1 cells and in cardiomyocytes derived from human induced pluripotent stem cells (hiPS-CMs), IL6 elicited STAT3 phosphorylation, a receptor-mediated downstream signaling.
View Article and Find Full Text PDFFront Cardiovasc Med
November 2024
Department of Cardiology, Medical University Hospital, Heidelberg, Germany.
Nat Commun
November 2024
Cardiovascular Disease Initiative & Precision Cardiology Laboratory, The Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Atrial fibrillation (AF) is the most common sustained arrhythmia in humans, yet the molecular basis of AF remains incompletely understood. To determine the cell type-specific transcriptional changes underlying AF, we perform single-nucleus RNA-seq (snRNA-seq) on left atrial (LA) samples from patients with AF and controls. From more than 175,000 nuclei we find that only cardiomyocytes (CMs) and macrophages (MΦs) have a significant number of differentially expressed genes in patients with AF.
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