Una variante rara en HCN4 produce un fenotipo de hipertrabeculación/no compactación ventricular, dilatación auricular izquierda y bradicardia sinusal

Coexistent HCN4 and GATA5 Rare Variants and Atrial Fibrillation in a Large Spanish Family

BACKGROUND

Familial association of atrial fibrillation (AF) can involve single gene variants related to known arrhythmogenic mechanisms; however, genome-wide association studies often disclose complex genetic variants in familial and nonfamilial AF, making it difficult to relate to known pathogenetic mechanisms.

METHODS

The finding of 4 siblings with AF led to studying 47 members of a family. Long-term Holter monitoring (average 298 hours) ruled out silent AF. Whole-exome sequencing was performed, and variants shared by the index cases were filtered and prioritised according to current recommendations. HCN4 currents (IHCN4) were recorded in Chinese hamster ovary cells expressing human p.P1163H or native HCN4 channels with the use of the patch-clamp technique, and topologically associating domain analyses of GATA5 variant were performed.

RESULTS

The clinical study diagnosed 2 more AF cases. Five family members carried the heterozygous p.P1163H HCN4 variant, 14 carried the intronic 20,61040536,G,A GATA5 rare variant, and 9 carried both variants (HCN4+GATA5). Five of the 6 AF cases (onset age ranging from 33 to 70 years) carried both variants and 1 carried the GATA5 variant alone. Multivariate analysis showed that the presence of HCN4+GATA5 variants significantly increased AF risk (odds ratio 32.7, 95% confidence interval 1.8-591.4) independently from age, hypertension, and overweight. Functional testing showed that IHCN4 generated by heterozygous p.P1163H were normal. Topologically associating domain analysis suggested that GATA5 could affect the expression of many genes, including those encoding microRNA-1.

CONCLUSION

The coincidence of 2 rare gene variants was independently associated with AF, but functional studies do not allow the postulation of the arrhythmogenic mechanisms involved.

Left ventricular noncompaction: a disease or a phenotypic trait?

Left ventricular noncompaction is a poorly defined and controversial entity, with wide phenotypic expression: from a simple anatomical trait to a disease with overt cardiac affection. Current diagnostic criteria rely exclusively on morphologic features of hypertrabeculation, which have low specificity for identifying true cardiomyopathy cases. The management of left ventricular noncompaction is also heterogeneous, and there are no dedicated clinical practice guidelines. The most common cardiovascular complications are heart failure, ventricular arrhythmias, and systemic embolisms. In this review, we discuss the diagnostic limitations of the available criteria, and propose a comprehensive alternative approach (including functional imaging variables, tissue characterization, genetics, and family screening) that may help in the differential diagnosis of hypertrabeculation cases. We also describe the genetic background of the disease and discuss the overlap with other cardiomyopathies. Finally, we focus on controversial issues in clinical management and suggest the use of the previously-mentioned variables for risk stratification and for individualization of patient follow-up.

Inherited and Acquired Rhythm Disturbances in Sick Sinus Syndrome, Brugada Syndrome, and Atrial Fibrillation: Lessons from Preclinical Modeling

Rhythm disturbances are life-threatening cardiovascular diseases, accounting for many deaths annually worldwide. Abnormal electrical activity might arise in a structurally normal heart in response to specific triggers or as a consequence of cardiac tissue alterations, in both cases with catastrophic consequences on heart global functioning. Preclinical modeling by recapitulating human pathophysiology of rhythm disturbances is fundamental to increase the comprehension of these diseases and propose effective strategies for their prevention, diagnosis, and clinical management. In silico, in vivo, and in vitro models found variable application to dissect many congenital and acquired rhythm disturbances. In the copious list of rhythm disturbances, diseases of the conduction system, as sick sinus syndrome, Brugada syndrome, and atrial fibrillation, have found extensive preclinical modeling. In addition, the electrical remodeling as a result of other cardiovascular diseases has also been investigated in models of hypertrophic cardiomyopathy, cardiac fibrosis, as well as arrhythmias induced by other non-cardiac pathologies, stress, and drug cardiotoxicity. This review aims to offer a critical overview on the effective ability of in silico bioinformatic tools, in vivo animal studies, in vitro models to provide insights on human heart rhythm pathophysiology in case of sick sinus syndrome, Brugada syndrome, and atrial fibrillation and advance their safe and successful translation into the cardiology arena.