BACKGROUND: SCN5A variants are associated with a spectrum of cardiac electrical disorders with clear phenotypes. However, they may also be associated with complex phenotypic traits like overlap syndromes, or pleiotropy, which have not been systematically described. Additionally, the involvement of SCN5A in dilated cardiomyopathies (DCM) remains controversial.
OBJECTIVE: We aimed to (1) evaluate the different phenotypes associated with pathogenic (P)/likely pathogenic (LP) SCN5A variants and (2) determine the prevalence of pleiotropy in a large multicentric cohort of P/LP SCN5A variant carriers.
METHODS: The DNA of 13,510 consecutive probands (9960 with cardiomyopathies) was sequenced using a custom panel of genes. Individuals carrying a heterozygous single P/LP SCN5A variant were selected and phenotyped.
RESULTS: The study included 170 P/LP variants found in 495 patients. Among them, 119 (70%) were exclusively associated with a single well-established phenotype: 91 with Brugada syndrome, 15 with type 3 long QT syndrome, six with progressive cardiac conduction disease, four with multifocal ectopic Purkinje-related premature contraction, and three with sick sinus syndrome. Thirty-two variants (19%) were associated with overlap syndromes and/or pleiotropy. The 19 remaining variants (11%) were associated with atypical or unclear phenotypes. Among those, eight were carried by eight patients presenting with DCM with a debatable causative genotype/phenotype link.
CONCLUSIONS: Most P/LP SCN5A variants were found in patients with primary electrical disorders, mainly Brugada syndrome. Nearly 20% were associated with overlap syndromes or pleiotropy, underscoring the need for comprehensive phenotypic evaluation. The concept of SCN5A variants causing DCM is extremely rare (8/9960), if not questionable.

Myotonic Dystrophy Type 1 (DM1) is an autosomal dominant multisystemic disorder for which cardiac features, including conduction delays and arrhythmias, are the second leading cause of disease mortality. DM1 is caused by expanded CTG repeats in the 3\' untranslated region of the DMPK gene. Transcription of the expanded DMPK allele produces mRNAs containing long tracts of CUG repeats, which sequester the Muscleblind-Like family of RNA binding proteins, leading to their loss-of-function and the dysregulation of alternative splicing. A well-characterized mis-regulated splicing event in the DM1 heart is the increased inclusion of SCN5A exon 6A rather than the mutually exclusive exon 6B that normally predominates in adult heart. As previous work showed that forced inclusion of Scn5a exon 6A in mice recapitulates cardiac DM1 phenotypes, we tested whether rescue of Scn5a mis-splicing would improve the cardiac phenotypes in a DM1 heart mouse model. We generated mice lacking Scn5a exon 6A to force the expression of the adult SCN5A isoform including exon 6B and crossed these mice to our previously established CUG960 DM1 heart mouse model. We showed that correction Scn5a mis-splicing does not improve the DM1 heart conduction delays and structural changes induced by CUG repeat RNA expression. Interestingly, we found that in addition to Scn5a mis-splicing, Scn5a expression is reduced in heart tissues of CUG960 mice and DM1-affected individuals. These data indicate that Scn5a mis-splicing is not the sole driver of DM1 heart deficits and suggest a potential role for reduced Scn5a expression in DM1 cardiac disease.

UNASSIGNED: Genetic testing for cardiac channelopathies is the standard of care. However, many rare genetic variants remain classified as variants of uncertain significance (VUS) due to lack of epidemiological and functional data. Whether deep protein language models may aid in VUS resolution remains unknown. Here, we set out to compare how 2 deep protein language models perform at VUS resolution in the 3 most common long-QT syndrome-causative genes compared with the gold-standard patch clamp.
UNASSIGNED: A total of 72 rare nonsynonymous VUS (9 KCNQ1, 19 KCNH2, and 50 SCN5A) were engineered by site-directed mutagenesis and expressed in either HEK293 cells or TSA201 cells. Whole-cell patch-clamp technique was used to functionally characterize these variants. The protein language models, ESM1b and AlphaMissense, were used to predict the variant effect of missense variants and compared with patch clamp.
UNASSIGNED: Considering variants in all 3 genes, the ESM1b model had a receiver operator curve-area under the curve of 0.75 (P=0.0003). It had a sensitivity of 88% and a specificity of 50%. AlphaMissense performed well compared with patch-clamp with an receiver operator curve-area under the curve of 0.85 (P<0.0001), sensitivity of 80%, and specificity of 76%.
UNASSIGNED: Deep protein language models aid in VUS resolution with high sensitivity but lower specificity. Thus, these tools cannot fully replace functional characterization but can aid in reducing the number of variants that may require functional analysis.

Dilated cardiomyopathy (DCM) is a disorder of cardiac ventricular dilation and contractile dysfunction that often progresses to heart failure. Multiple genes have been associated with DCM, including SCN5A which has been linked to 2 % of all DCM cases. Peripheral mononuclear blood cells from DCM patients with SCN5A variants (c.2440C>T and c.665G>A) were utilized to generate two human induced pluripotent stem cell (iPSC) lines. Both lines exhibited typical iPSC morphology, expressed pluripotency markers, normal karyotypes, and trilineage differentiation capabilities. These lines offer valuable resources for investigating the mechanism of SCN5A-associated DCM, facilitating studies of ion channel protein involvement in the disease.

Cetaceans represent a natural experiment within the tree of life in which a lineage changed from terrestrial to aquatic habitats. This shift involved phenotypic modifications, representing an opportunity to explore the genetic bases of phenotypic diversity. Among the different molecular systems that maintain cellular homeostasis, ion channels are crucial for the proper physiological functioning of all living species. This study aims to explore the evolution of ion channels during the evolutionary history of cetaceans. To do so, we created a bioinformatic pipeline to annotate the repertoire of ion channels in the genome of the species included in our sampling. Our main results show that cetaceans have, on average, fewer protein-coding genes and a higher percentage of annotated ion channels than non-cetacean mammals. Signals of positive selection were detected in ion channels related to the heart, locomotion, visual and neurological phenotypes. Interestingly, we predict that the NaV1.5 ion channel of most toothed whales (odontocetes) is sensitive to tetrodotoxin, similar to NaV1.7, given the presence of tyrosine instead of cysteine, in a specific position of the ion channel. Finally, the gene turnover rate of the cetacean crown group is more than three times faster than that of non-cetacean mammals.

暂无摘要。

Arrhythmias account for over 300,000 annual deaths in the United States, and approximately half of all deaths are associated with heart disease. Mechanisms underlying arrhythmia risk are complex; however, work in humans and animal models over the past 25 years has identified a host of molecular pathways linked with both arrhythmia substrates and triggers. This chapter will focus on select arrhythmia pathways solved by linking human clinical and genetic data with animal models.

Ventricular septal defects (VSDs) are recognized as one of the commonest congenital heart diseases (CHD), accounting for up to 40% of all cardiac malformations, and occur as isolated CHDs as well as together with other cardiac and extracardiac congenital malformations in individual patients and families. The genetic etiology of VSD is complex and extraordinarily heterogeneous. Chromosomal abnormalities such as aneuploidy and structural variations as well as rare point mutations in various genes have been reported to be associated with this cardiac defect. This includes both well-defined syndromes with known genetic cause (e.g., DiGeorge syndrome and Holt-Oram syndrome) and so far undefined syndromic forms characterized by unspecific symptoms. Mutations in genes encoding cardiac transcription factors (e.g., NKX2-5 and GATA4) and signaling molecules (e.g., CFC1) have been most frequently found in VSD cases. Moreover, new high-resolution methods such as comparative genomic hybridization enabled the discovery of a high number of different copy number variations, leading to gain or loss of chromosomal regions often containing multiple genes, in patients with VSD. In this chapter, we will describe the broad genetic heterogeneity observed in VSD patients considering recent advances in this field.

Posttranscriptional regulation comprises those mechanisms occurring after the initial copy of the DNA sequence is transcribed into an intermediate RNA molecule (i.e., messenger RNA) until such a molecule is used as a template to generate a protein. A subset of these posttranscriptional regulatory mechanisms essentially are destined to process the immature mRNA toward its mature form, conferring the adequate mRNA stability, providing the means for pertinent introns excision, and controlling mRNA turnover rate and quality control check. An additional layer of complexity is added in certain cases, since discrete nucleotide modifications in the mature RNA molecule are added by RNA editing, a process that provides large mature mRNA diversity. Moreover, a number of posttranscriptional regulatory mechanisms occur in a cell- and tissue-specific manner, such as alternative splicing and noncoding RNA-mediated regulation. In this chapter, we will briefly summarize current state-of-the-art knowledge of general posttranscriptional mechanisms, while major emphases will be devoted to those tissue-specific posttranscriptional modifications that impact on cardiac development and congenital heart disease.

Cardiac development is a fine-tuned process governed by complex transcriptional networks, in which transcription factors (TFs) interact with other regulatory layers. In this chapter, we introduce the core cardiac TFs including Gata, Hand, Nkx2, Mef2, Srf, and Tbx. These factors regulate each other\'s expression and can also act in a combinatorial manner on their downstream targets. Their disruption leads to various cardiac phenotypes in mice, and mutations in humans have been associated with congenital heart defects. In the second part of the chapter, we discuss different levels of regulation including cis-regulatory elements, chromatin structure, and microRNAs, which can interact with transcription factors, modulate their function, or are downstream targets. Finally, examples of disturbances of the cardiac regulatory network leading to congenital heart diseases in human are provided.