Chromosome 4q25 variants and recurrence after second-generation cryoballoon ablation in patients with paroxysmal atrial fibrillation

Embryological Classification of Arrhythmogenic Triggers Initiating Atrial Fibrillation

BACKGROUND

Atrial fibrillation (AF) is a prevalent multifactorial arrhythmia associated with specific single-nucleotide polymorphisms (SNPs). Pulmonary vein (PV) isolation is an established treatment for AF; however, recurrence risk remains caused by AF triggers beyond the PVs. Understanding the embryological origins of these triggers could improve treatment outcomes.

OBJECTIVES

This study aimed to investigate the association between embryologically categorized AF triggers, clinical and genetic backgrounds, and postablation prognosis.

METHODS

In cohort 1, comprising 3,067 patients with AF undergoing PV isolation, the clinical characteristics and outcomes were analyzed. Among them, 815 patients underwent genetic analysis using AF-associated SNPs (cohort 2). Patients were delineated based on the developmental origin of the AF triggers: common PV, sinus venosus (SV), and primitive atrium (PA).

RESULTS

SV-origin extra-PV AF triggers occurred in 20.3% (n = 622) of patients, whereas PA-origin triggers occurred in 11.9% (n = 365) of patients in cohort 1. Multivariate analysis of cohort 2 revealed that female sex, lower body mass index, absence of hypertension, rs2634073 near PITX2, and rs6584555 in NEURL1 were associated with SV-AF, whereas nonparoxysmal AF and rs2634073 near PITX2 were predictors of PA-AF. The PA group had a significantly higher arrhythmia recurrence rate after repeated procedures than the common PV (HR: 1.75; 95% CI: 1.34-2.29; P < 0.001) and SV-AF (HR: 1.31; 95% CI: 1.19-1.45; P < 0.001) groups with more de novo AF triggers. However, the incidence of adverse events did not differ significantly among the 3 groups.

CONCLUSIONS

SV-derived AF triggers may have hereditary factors with a favorable postablation prognosis, whereas PA-derived triggers are linked to AF persistence and poor ablation response. Variants near PITX2 may play a pivotal role in extra-PV triggers.

Genetic Susceptibility to Atrial Fibrillation Is Associated With Atrial Electrical Remodeling and Adverse Post-Ablation Outcome

OBJECTIVES

This study sought to assess the atrial electrophysiological properties and post-ablation outcomes in patients with atrial fibrillation (AF) with and without the rs2200733 single nucleotide variant.

BACKGROUND

The phenotype associated with chromosome 4q25 of the AF-susceptibility locus remains unknown.

METHODS

In this study, 102 consecutive patients (ages 61 ± 9 years, 64% male) with paroxysmal or persistent AF were prospectively recruited prior to ablation. Patients were genotyped for rs2200733 and high-density left atrial (LA) electroanatomic maps were created using a multipolar catheter during distal coronary sinus (CS) pacing at 600 ms. Voltage, conduction velocity (CV), CV heterogeneity, and fractionated signals of 6 LA segments were determined. Arrhythmia recurrence was assessed by continuous device (51%) and Holter monitoring.

RESULTS

Overall, 41 patients (40%) were single nucleotide variant carriers (38 heterozygous, 3 homozygous). A mean of 2,239 ± 852 points per patient were collected. Carriers had relatively increased CV heterogeneity (45.7 ± 7.5% vs. 35.9 ± 2.3%; p < 0.001), complex signals (9.4 ± 2.9% vs 6.0 ± 1.2%; p = 0.008), regional LA slowing, or conduction block (31.7 ± 8.2% vs. 17.9 ± 1.9%; p = 0.013) particularly in the posterior and lateral walls. There were no differences in CV, voltage, atrial refractoriness, or sinus node function. At follow-up (median: 27 months; range 19 to 31 months), carriers had lower arrhythmia-free survival (51% vs. 80%; p = 0.003). On multivariable analysis, carrier status was independently associated with CV heterogeneity (p = 0.001), complex signals (p = 0.002), and arrhythmia recurrence (p = 0.019).

CONCLUSIONS

These data provide the first evidence that the rs2200733-tagged haplotype alters LA electrical remodeling and is a determinant of long-term outcome following AF ablation. The molecular mechanisms underpinning these changes warrant further investigation.

How Will Genetics Inform the Clinical Care of Atrial Fibrillation?

Susceptibility to atrial fibrillation (AF) is determined by well-recognized risk factors such as diabetes mellitus or hypertension, emerging risk factors such as sleep apnea or inflammation, and increasingly well-defined genetic variants. As discussed in detail in a companion article in this series, studies in families and in large populations have identified multiple genetic loci, specific genes, and specific variants increasing susceptibility to AF. Since it is becoming increasingly inexpensive to obtain genotype data and indeed whole genome sequence data, the question then becomes to define whether using emerging new genetics knowledge can improve care for patients both before and after development of AF. Examples of improvements in care could include identifying patients at increased risk for AF (and thus deploying increased surveillance or even low-risk preventive therapies should these be available), identifying patient subsets in whom specific therapies are likely to be effective or ineffective or in whom the driving biology could motivate the development of new mechanism-based therapies or identifying an underlying susceptibility to comorbid cardiovascular disease. While current guidelines for the care of patients with AF do not recommend routine genetic testing, this rapidly increasing knowledge base suggests that testing may now or soon have a place in the management of select patients. The opportunity is to generate, validate, and deploy clinical predictors (including family history) of AF risk, to assess the utility of incorporating genomic variants into those predictors, and to identify and validate interventions such as wearable or implantable device-based monitoring ultimately to intervene in patients with AF before they present with catastrophic complications like heart failure or stroke.

Genetic variants associated with atrial fibrillationand long-term recurrence after catheter ablation for atrialfibrillation in Turkish patients

OBJECTIVE

Genome-wide association studies have revealed that single nucleotide polymorphisms (SNPs) are associated with atrial fibrillation (AF) and can predict AF recurrence after catheter ablation in different populations. However, there exists no such data for the Turkish population. We aimed to investigate whether 11 SNPs in the PITX2, ZFHX3, EPHX2, CAV1, TBX5, TGF-1, and SCN10A were related to AF and whether these SNPs can predict long-term atrial tachyarrhythmia (ATa) recurrence after pulmonary vein isolation (PVI) for AF in Turkish patients.

METHODS

A total of 245 consecutive patients with non-valvular AF (44.9% men, mean age: 60.2±13.2 years, 65.3% paroxysmal AF) and 50 age- and sex-matched controls were included in this analysis. The clinical features and genetic variants were compared between the 2 groups. Of the 245 patients, 128 who underwent PVI with second-generation cryoballoon were further examined for long-term recurrence after the procedure.

RESULTS

Four SNPs in PITX2 were significantly associated with AF (rs10033464_T: OR 3.29, 95%CI: 1.38-7.82, p=0.007; rs6838973_T: OR 3.06, 95% CI 1.36-6.87, p=0.007; rs3853445_C: OR 2.84, 95%CI: 1.27-6.36, p=0.011; rs17570669_T: OR 4.03, 95% CI: 1.71-9.51, p=0.001). Among these patients who underwent PVI, one locus in CAV1 (rs3807989_G: OR 4.50, 95% CI 1.04-19.31, p=0.043) and early recurrence (OR: 8.06, 95% CI: 2.12-30.55, p=0.002) predicted long-term AF recurrence after catheter ablation.

CONCLUSION

Significant associations exists between 4 SNPs in PITX2 and AF (rs10033464, rs6838973, rs3853445, and rs17570669) in Turkish patients. In addition, 1 genetic variant in CAV1 (rs3807989) and early recurrence can predict long-term ATa recurrence after catheter ablation.

Association between gene variants and the recurrence of atrial fibrillation: An updated meta-analysis

BACKGROUND

Studies showed the controversial results about the effect of common genetic polymorphisms on the atrial fibrillation (AF) recurrence. We performed the systematic review and meta-analysis to qualify the association between common genetic polymorphisms and AF recurrence.

METHODS

Articles were systematically retrieved PubMed, Web of Science, EMBASE, Wanfang, and CNKI database and 9 studies including 3204 patients were enrolled in our meta-analysis.

RESULTS

Results showed that the associations were significant under rs2200733 3 genetic models (TT vs CC: odds ratio [OR] [confidence interval [CI]] = 1.336 [1.061-1.683], P = .014; CT vs CC: OR [CI] = 0.759 [0.614-0.937], P = .01; TT vs CT + CC: OR [CI] = 2.308 [1.440-3.700], P = .001). The association was significant under rs10033464 genetic model (TT vs GG: OR [CI] = 1.517 [1.165-1.976], P = .002).

CONCLUSIONS

Rs13376333 on chromosome 1q21 (in KCNN3), rs7193343 and rs2106261 on chromosome 16q22 (in ZFHX3) were not associated with AF recurrence in our meta-analysis. In total, our meta-analysis found that rs2200733 and rs10033464 on chromosome 4q25 (near PITX2) were associated with the risk of AF recurrence.

Genetics of Atrial Fibrilation: In Search of Novel Therapeutic Targets

Atrial fibrillation (AF) is the most frequent arrhythmogenic disease in humans, ranging from 2% in the general population and rising up to 10-12% in 80+ years. Genetic analyses of AF familiar cases have identified a series of point mutations in distinct ion channels, supporting a causative link. However, these genetic defects only explain a minority of AF patients. Genomewide association studies identified single nucleotide polymorphisms (SNPs), close to PITX2 on 4q25 chromosome, that are highly associated to AF. Subsequent GWAS studies have identified several new loci, involving additional transcription and growth factors. Furthermore, these risk 4q25 SNPs serve as surrogate biomarkers to identify AF recurrence in distinct surgical and pharmacological interventions. Experimental studies have demonstrated an intricate signalling pathway supporting a key role of the homeobox transcription factor PITX2 as a transcriptional regulator. Furthermore, cardiovascular risk factors such as hyperthyroidism, hypertension and redox homeostasis have been identified to modulate PITX2 driven gene regulatory networks. We provide herein a state-of-the-art review of the genetic bases of atrial fibrillation, our current understanding of the genetic regulatory networks involved in AF and its plausible usage for searching novel therapeutic targets.

A Chromosome 4q25 Variant is Associated with Atrial Fibrillation Recurrence After Catheter Ablation: A Systematic Review and Meta-Analysis

Background

Recent studies suggested that variants on chromosome loci 4q25, 1q21, and 16q22 were associated with atrial fibrillation recurrence after catheter ablation. In this study, we performed a systematic review and meta-analysis to explore the association between variants on chromosome loci 4q25, 1q21, and 16q22 and atrial fibrillation recurrence after catheter ablation.

Methods

We comprehensively searched the databases of MEDLINE and EMBASE from inception to January 2017. Included studies were published prospective or retrospective cohort and case control studies that compared the risk of atrial fibrillation recurrence after catheter ablation in AF patients with chromosome 4q25, 1q21, and 16q22 variants versus no variants. Single-nucleotide polymorphism rs1906617, rs2106261, rs7193343, rs2200733, rs10033464, rs13376333, and rs6843082 were included in this analysis. Data from each study were combined using the random-effects, generic inverse variance method of DerSimonian and Laird to calculate the risk ratios and 95% confidence intervals.

Results

Seven studies from January 2010 to June 2017 involving 3,322 atrial fibrillation patients were included in this meta-analysis. According to the pooled analysis, there was a strong independent association between chromosome 4q25 variant (rs2200733) and the risk of atrial fibrillation recurrence after catheter ablation (risk ratio 1.45 [95% confidence interval 1.15-1.83], P = 0.002). No association was found in other variants.

Conclusion

Our meta-analysis demonstrates a statistically significant increased risk of atrial fibrillation recurrence after catheter ablation in 4q25 variant (only in rs2200733) but not in 1q21 or 16q22 variants.

PR Interval Associated Genes, Atrial Remodeling and Rhythm Outcome of Catheter Ablation of Atrial Fibrillation-A Gene-Based Analysis of GWAS Data

Background: PR interval prolongation has recently been shown to associate with advanced left atrial remodeling and atrial fibrillation (AF) recurrence after catheter ablation. While different genome-wide association studies (GWAS) have implicated 13 loci to associate with the PR interval as an AF endophenotype their subsequent associations with AF remodeling and response to catheter ablation are unknown. Here, we perform a gene-based analysis of GWAS data to test the hypothesis that PR interval candidate genes also associate with left atrial remodeling and arrhythmia recurrence following AF catheter ablation.

Methods and Results: Samples from 660 patients with paroxysmal (n = 370) or persistent AF (n = 290) undergoing AF catheter ablation were genotyped for ~1,000,000 SNPs. Gene-based association was investigated using VEGAS (versatile gene-based association study). Among the 13 candidate genes, SLC8A1, MEIS1, ITGA9, SCN5A, and SOX5 associated with the PR interval. Of those, ITGA9 and SOX5 were significantly associated with left atrial low voltage areas and left atrial diameter and subsequently with AF recurrence after radiofrequency catheter ablation.

Conclusion: This study suggests contributions of ITGA9 and SOX5 to AF remodeling expressed as PR interval prolongation, low voltage areas and left atrial dilatation and subsequently to response to catheter ablation. Future and larger studies are necessary to replicate and apply these findings with the aim of designing AF pathophysiology-based multi-locus risk scores.