Literature DB >> 29351227

Differential Association of Cx37 and Cx40 Genetic Variants in Atrial Fibrillation with and without Underlying Structural Heart Disease.

Sebastian Carballo1, Anna Pfenniger2, David Carballo3, Nicolas Garin4, Richard W James5, François Mach6, Dipen Shah7, Brenda R Kwak8.   

Abstract

Atrial fibrillation (AF) appears in the presence or absence of structural heart disease. The majority of foci causing AF are located near the ostia of pulmonary veins (PVs), where cardiomyocytes and vascular smooth muscle cells interdigitate. Connexins (Cx) form gap junction channels and participate in action potential propagation. Genetic variants in genes encoding Cx40 and Cx37 affect their expression or function and may contribute to PV arrhythmogenicity. DNA was obtained from 196 patients with drug-resistant, symptomatic AF with and without structural heart disease, who were referred for percutaneous catheter ablation. Eighty-nine controls were matched for age, gender, hypertension, and BMI. Genotyping of the Cx40 -44G > A, Cx40 +71A > G, Cx40 -26A > G, and Cx37 1019C > T polymorphisms was performed. The promoter A Cx40 polymorphisms (-44G > A and +71A > G) showed no association with non-structural or structural AF. Distribution of the Cx40 promoter B polymorphism (-26A > G) was different in structural AF when compared to controls (p = 0.03). There was no significant difference with non-structural AF (p = 0.50). The distribution of the Cx37 1019C > T polymorphism was different in non-structural AF (p = 0.03) but not in structural AF (p = 0.08) when compared to controls. Our study describes for the first time an association of drug-resistant non-structural heart disease AF with the Cx37 1019C > T gene polymorphism. We also confirmed the association of the Cx40 - 26G > A polymorphism in patients with AF and structural disease.

Entities:  

Keywords:  atrial fibrillation; connexin; genetic variant; polymorphism

Mesh:

Substances:

Year:  2018        PMID: 29351227      PMCID: PMC5796240          DOI: 10.3390/ijms19010295

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


1. Introduction

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, its incidence increasing with age to reach up to 35 new cases per 1000 population in the elderly [1,2]. In the general population, its prevalence is estimated at 1.5–2%. AF is associated with increased risk of stroke, incidence of heart failure, and an overall higher mortality [3,4]. Diagnosis of AF is based on electrocardiographic characteristics such as rapid, irregular, fibrillatory waves, varying in size, shape, and timing [1]. Five clinical types of AF are recognized, mainly based on duration [2,3,4,5]: paroxysmal AF, persistent AF, long-standing persistent AF, and permanent AF. Whilst controversial, the term idiopathic or lone AF is used in reference to AF appearing in the absence of structural disease such as atrial left enlargement or valvular heart disease [6]. This historical concept and term should probably and progressively be avoided as understanding of the multiple complex etiologies of AF is improved [7]. When underlying structural heart disease is present, such as in patients with hypertensive heart disease, valvulopathy, or ischemic heart disease, this may trigger progressive remodeling of both the ventricles and atria [3,4]. Structural abnormalities will induce remodeling of the myocardium by affecting the extracellular matrix and cardiomyocytes through inflammatory processes and increased fibrosis [3,4]. Electrophysiological alterations and remodeling are instrumental in maintaining AF after its onset [8]. Initiation of AF is thought to depend on a combination of abnormal impulse formation, conduction and a propensity for reentry at the ostia of pulmonary veins (PVs), where sheets of cardiomyocytes and vascular smooth muscle cells (VSMCs) interdigitate [9,10]. However, the molecular mechanism underlying this regional specificity remains to be discovered. Variants in genes encoding for membrane channels have been associated with both familial and other forms of AF, including genes encoding potassium channels such as KCNQ1 and KCNA5 [11,12,13]. Interestingly, atrial vulnerability to AF has been associated with polymorphisms in the Connexin40 (Cx40) gene, GJA5 [14,15,16,17]. In addition, specific somatic mutations in the same gene have been discovered in idiopathic AF [18]. Other clinical AF presentations have been described with mosaicism in another connexin gene, GJA1 encoding for Cx43 [19]. Connexins are gap junction proteins playing an essential role in direct cell–cell communication in the vast majority of tissues in the body, including in electrical propagation in the heart [20]. There are 20 different connexins in humans, each forming channels with distinct properties and with specific expression patterns [21]. Cx40, encoded by GJA5, is expressed by endothelial cells (ECs), by coronary VSMCs, by atrial cardiomyocytes, and in the cardiac conduction system. Cx37, encoded by GJA4, is found in ECs, pulmonary vein VSMCs, monocyte/macrophages, and platelets. Cx43, encoded by GJA1, is expressed by ventricular and atrial cardiomyocytes, VSMCs, ECs, and monocyte/macrophages [22]. Several polymorphisms have been described in GJA4 and GJA5, which affect either their connexin expression level or gap junction channel function, some of which may contribute to the arrhythmogenicity of the PVs [15]. In animal studies, downregulation of either Cx40 or Cx43 expression increases susceptibility to AF [23,24]. Variants in the Cx37 (GJA4) gene have been associated with atherosclerosis and coronary heart disease, most likely through their influence on monocyte adhesion, thereby regulating the extent of local inflammation [25]. Both systemic and local inflammation appear to influence the development of AF in various situations, in patients having undergone cardiac surgery as well as non-post-operative patients [26]. Here, we investigated the relation between polymorphisms in GJA5 and GJA4 in defined AF populations. Within the AF population, a distinction was made between patients with no underlying structural cardiomyopathy, for the purpose of clarity referred to as non-structural AF, and those with clearly documented structural disease, referred to as structural AF. All AF patients that were included had undergone a trial of anti-arrhythmic drugs and were referred for catheter ablation because of poor response.

2. Results

A total of 285 individuals were included in this study; 92 patients in the non-structural AF group, 104 patients with structural AF, and 89 controls. Characteristics of the study population are summarized in Table 1.
Table 1

Characteristics and cardiovascular risk factors in the three cohorts.

CharacteristicsControls n = 89Non-Structural AF n = 92Structural AF n = 104
Age, years (SD)61.79 (7.81)64.09 (8.87)60.04 (9.96)
Males (%)74.284.876.9
Smokers (%)66.356.532.7 *
Diabetes (%)10.13.313.4
Dyslipidemia (%)17.026.142.3 *
Hypertension (%)42.530.442.3
BMI (Kg/m2) (SD)27.54 (4.48)27.15 (5.70)27.65 (5.77)

Controls were matched against the atrial fibrillation groups for age, gender, hypertension, and BMI. SD: standard deviation; BMI: body mass index. Qualitative values compared with Fisher’s exact test. Quantitative values compared with the Student’s t-test. * p < 0.05.

The type of cardiomyopathy present in the structural AF group is detailed in Table 2. Valvular disease and dilated atria were the main structural abnormalities.
Table 2

Characteristics of heart disease in the structural AF group. (More than one type of cardiomyopathy was possible in each patient).

CharacteristicsNumbers
Type of Heart DiseaseTotal n (%) (n = 104)
Valvular heart disease
   - Mitral regurgitation71 (68.3)
   - Mitral stenosis2 (1.9)
   - Aortic regurgitation29 (27.9)
   - Aortic stenosis4 (3.8)
Ischemic heart disease9 (8.6)
Other (HCM, interatrial communication, etc.)34 (32.7)
Dilated left atrium (>20 cm2)61 (58.7)
Echocardiography values
Average LVEF (%)56
Average left atrial surface, cm2 (SD)23 (6.9)
Average left ventricular ejection fraction, % (SD)56.2 (10.1)

HCM: hypertrophic cardiomyopathy, LVEF: Left Ventricular Ejection Fraction, SD: standard deviation.

2.1. Cx40 − 44G > A/+71A > G Polymorphisms

Analysis of the two promoter A Cx40 polymorphisms (−44G > A and +71A > G) showed an almost complete linkage disequilibrium of the −44G/+71A and −44A/+71G alleles. The overall genotype distribution in the control group was −44GG/+71AA = 67.4%, −44AG/+71AG = 28.1% and −44AA/+71GG = 4.5%. This genotype distribution was not significantly different in either of the AF groups (non-structural AF: p = 0.846; structural AF: p = 0.132) (Table 3). There was also no significant difference in between the two AF groups (p = 0.275).
Table 3

Allele distributions of the Cx40 (GJA5) and Cx37 (GJA4) polymorphisms in the control, non-structural AF, and structural AF groups. Proportions were compared with Fisher’s exact test.

GenotypeGenep Value vs. Control Group
Cx40 −44G > AGG (n, %)AG (n, %)AA (n, %)Total
Control60 (67.4)25 (28.1)4 (4.5)89
Non-Structural AF59 (64.1)27 (29.3)6 (6.5)92p = 0.846
Structural AF55 (52.9)41 (39.5)8 (7.7)104p = 0.132
Cx40 +71A > GAA (n, %)AG (n, %)GG (n, %)Total
Control60 (67.4)25 (28.1)4 (4.5)89
Non-Structural AF61 (66.3)26 (28.3)5 (5.4)92p = 1.000
Structural AF55 (52.9)41 (39.4)8 (7.7)104p = 0.133
Cx4026G > AGG (n, %)AG (n, %)AA (n, %)Total
Control23 (25.8)42 (47.2)24 (27.0)89
Non-Structural AF26 (28.3)48 (52.2)18 (19.6)92p = 0.511
Structural AF27 (26.0)64 (61.5)13 (12.5)104p = 0.029
Cx37 1019C > TCC (n, %)CT (n, %)TT (n, %)Total
Control38 (42.7)31 (34.8)20 (22.5)89
Non-Structural AF43 (46.7)41 (44.6)8 (8.7)92p = 0.034
Structural AF50 (48.1)43 (41.3)11 (10.6)104p = 0.080

In bold the genes and genotypes.

2.2. Cx40 − 26G > A Polymorphism

The specific genotype distribution of the Cx4026G > A polymorphism in the control group was −26GG = 25.8%, −26AG = 47.2%, and −26AA = 27.0%. This distribution was significantly different in the structural AF group: −26GG = 26.0%, −26AG = 61.5%, and −26AA = 12.5% (p = 0.029). There was no significant difference between the control and the non-structural AF group (p = 0.511) (Table 3) or between the two AF groups (p = 0.3).

2.3. Cx37 1019C > T Polymorphism

The specific genotype distribution of the Cx37 1019C > T polymorphism in the control group was 1019CC = 42.7%, 1019CT = 34.8%, and 1019TT = 22.5%. This distribution was significantly different in the non-structural AF group: 1019CC = 46.7%, 1019CT = 44.6%, and 1019TT = 8.7% (p = 0.034). There was no significant difference between the control and the structural AF group (p = 0.080) (Table 3) or between the two AF groups (p = 0.85).

3. Discussion

Our study describes for the first time an association of the Cx37 1019C > T gene polymorphism with drug-resistant non-structural AF, but not with structural AF. The potential differences in gene susceptibility between non-structural and structural AF were further underlined by the fact that we found an association of the Cx4026G > A polymorphism with structural AF and not with non-structural AF. These results suggest that there are potential differences in the genetic susceptibility to AF in given populations. Patients who develop AF in whom there is no underlying structural cardiac disease appear to have an increased frequency of Cx37 1019C alleles than patients who do not develop AF. This genetic polymorphism has previously been described in populations with coronary heart disease and myocardial infarction [27,28]. The GJA4 genotype may predict survival after an acute coronary syndrome [29]. Cx37 is principally expressed in endothelial cells, VSMCs, monocyte/macrophages, and platelets. The 1019C > T polymorphism in GJA4 causes a Proline-to-Serine substitution at amino acid 319 (P319S) in the cytoplasmic tail of Cx37, which in turn alters channel conductance and permeability [25,30]. The Cx37 polymorphism has been shown to affect monocyte adhesion as well as platelet aggregation [25,31]. Both mechanisms are thought to underlie the development of CAD [25]. Inflammation and its associated immune response are increasingly recognized to be involved in the initiation and maintenance of atrial fibrillation [32]. Thus, the Cx37 1019C > T polymorphism might affect the susceptibility to non-structural AF by virtue of its effect on monocyte adhesion. Alternatively, initiation of non-structural AF is thought to depend on a combination of abnormal impulse formation and conduction [9]. As Cx37 is also expressed in VSMCs at the ostia of pulmonary veins (PVs), where sheets of cardiomyocytes and VSMCs interdigitate, the differences in gap junction channel electrophysiological properties associated with the Cx37 1019C > T polymorphism may accentuate the latter mechanism [33]. Our results also show an association of the Cx4026G > A polymorphism in patients with AF with underlying cardiomyopathy, with the −26G allele being more frequent than in control patients. This single nucleotide polymorphism (SNP) in the promoter B region of GJA5, the Cx40 gene, which alters the TATA box sequence and modulates mRNA expression levels of Cx40, has previously been associated with AF [34]. Of note, our study did not show any association of AF (either structural or non-structural) with the promoter A polymorphisms, Cx40 − 44/+71; these polymorphisms were also shown to reduce GJA5 expression in vitro by about 50%; however, Wirka et al. showed no effect on GJA5 expression in atrial tissue, suggesting that promoter A is not necessary to Cx40 expression in atrial myocytes [34]. In patients with structural AF, atrial remodeling is often present at a structural, electrophysiological, and molecular level with changes in the refractory period and cardiomyocyte contractility [8,10]. Some of these atrial cardiomyocyte characteristics can be explained by changes in potassium channel properties and important changes to calcium handling [8]. Inconsistent observations have been made with respect to Cx40 expression levels in patients with AF, with both higher and lower levels being reported [35,36,37]. However, only few patients were included in these studies—10 and 12, respectively—and almost exclusively with mitral valve disease. Complete deletion of Cx40 in murine models leads to decreased atrial conduction velocity and increased atrial stability [8,38]. Somatic mutations in GJA5 have been shown to predispose patients to idiopathic AF by either impairing the assembly of Cx40 into gap junctions or by affecting the electrical coupling itself [14,18]. Importantly, a recent study revealed that one of the reported Cx40 mutations (A96S) caused decreased atrial conduction velocities and sustained episodes of induced atrial fibrillation in mice and rat [39,40]. The strength of our study is the distinction between patients with or without underlying cardiomyopathy. This enables a more precise association study and a dissection of possible different pathophysiological mechanism leading to AF. We chose to include patients in whom anti-arrhythmic treatment was not successful in order to have long-standing or permanent AF. It may be interesting in the future to include all AF. The main limitation of our study is nevertheless the relatively small sample size, which increases the risk of falsely positive results. Furthermore, we acknowledge that non-structural AF is a misnomer and an exhaustive search of underlying etiology reduces the number of instances when there is truly no explanation for AF [7]. We also acknowledge that the link between the severity of valvular disease, in particular mitral valve disease, and AF may be complex. This may be an important aspect to further investigate. Associations between smoking or serum lipid levels and Cx40 have never been reported; it is, however, quite unlikely that one of these confounding factors would induce a significant association of the Cx4026G > A polymorphism with structural AF.

4. Materials and Methods

4.1. Patients

Three patient cohorts were studied, namely patients with AF and no underlying structural cardiac disease (non-structural AF), patients with AF and documented structural cardiac disease (structural AF), and a control population with no AF or underlying cardiac disease. This study protocol conforms to the ethical guidelines of the 1975 Declaration of Helsinki, as reflected in prior approval by the institution’s human research committee, namely the Internal Medicine Departmental Ethics Committee, Geneva University Hospital (Protocol 03-167, 3 April 2010). Informed consent was obtained from all patients. The non-structural AF group consisted of patients undergoing catheter ablation of AF by radiofrequency ablation through pulmonary vein isolation (RFAPVI). Inclusion criteria were an age > 18 years, documented paroxysmal or persistent AF (for <2 years) with or without typical flutter (ECG or Holter) after failure of at least one anti-arrhythmic treatment of Class I or III, with planned and clinically indicated RFAPVI. Exclusion criteria were reversible AF, clinical heart failure, increased left atrial size (>20 cm2 four chamber view), decreased left ventricular ejection fraction, any valvulopathy, or a history of prior AF or flutter ablation. The structural AF group consisted of patients undergoing RFAPVI but in whom there was underlying cardiomyopathy, be it structural or valvular disease, or documented ischemic heart disease (history of acute or chronic coronary disease, angiographically proven disease). Inclusion criteria were an age > 18 years, documented paroxysmal or persistent AF (for <2 years) with or without typical flutter (ECG or Holter) and with planned and clinically indicated RFAPVI. Inclusion and exclusion criteria for these groups are detailed in Table 4. Demographics and characteristics of each group are detailed in Table 1. The type of cardiomyopathy present in the structural AF group is detailed in Table 1. The control group was considered as a whole and variables were matched to the AF groups with priority given to age, gender, hypertension, and BMI, these being major risk factors associated with AF development. These individuals were from the same population basin as AF patients, seen in the same clinic, and were undergoing elective coronary angiography at the Geneva University Hospital due to symptoms of suspected CAD or unrelated conditions requiring angiographic evaluation [41]. Participants gave written informed consent for a blood draw at the time of angiography for use in confidential studies approved by the hospital’s institutional review board. Exclusion criteria for this control group were AF or a history of AF, or arrhythmia on 12 lead ECG, a history of coronary heart disease, any significant angiographic lesions on coronary angiography, or any known heart disease including valvulopathy.
Table 4

Inclusion and exclusion criteria for the non-structural and structural atrial fibrillation and control groups.

CriteriaNon-Structural AFStructural AFControl Group
Inclusion criteriaAge > 18 yearsParoxysmal or persistent AFFailure of at least 1 anti-arrhythmic drug of class I or IIIAge > 18 yearsAny valvulopathyLeft ventricular or atrial dilatationDocumented ischemic heart diseaseHypertrophic cardiomyopathyAny structural diseaseAge > 18 years
Exclusion criteriaReversible AFClinical heart failureDecrease left ejection fractionAny valvulopathyHistory or documented AFAny heart disease including coronary heart disease or significant coronary lesion on angiographyAny valvulopathy

AF: atrial fibrillation; NYHA: New York Heart Association heart failure classification.

4.2. Echocardiography

Echocardiography was performed on a HP/Philips 5500, Philips Electronics North American Corporation, Andover, MA, USA, with digitalization of images and analyzed according to a standardized protocol in a core lab.

4.3. DNA Extraction and Genotyping

DNA was extracted from the peripheral blood and genotyping of the Cx40 − 44G > A, Cx40 + 71A > G, Cx40 − 26A > G, and Cx37 1019C > T polymorphisms was performed by polymerase chain reaction (PCR) and restriction fragment length polymorphism (RFLP) assays using previously established methods [34,42,43].

4.4. Statistical Analysis

Clinical, biological, and echocardiographic characteristics are presented using descriptive statistics and a number of cases with a percentage in parentheses for categorical variables. In view of skewed allele distribution and small numbers of certain genotypes, we used non-parametric tests. Proportions/categorical data were compared with the Fisher’s exact test.

5. Conclusions

Our study suggests that there may be a different genetic predisposition to non-structural AF as compared to AF appearing in the context of underlying heart disease. We report here for the first time that the Cx37 1019C > T variant is associated with non-structural AF. Mechanistically, this might involve effects of altered Cx37 channel function on the inflammatory response (monocyte adhesion) or on abnormal impulse conduction (communication between VSMCs and atrial cardiomyocytes). In addition, we confirmed that the Cx4026G > A polymorphism affecting the expression level of this protein in atrial cardiomyocytes is associated with structural AF.
  43 in total

1.  Lack of association between connexin40 polymorphisms and coronary artery disease.

Authors:  Anna Pfenniger; Sander W van der Laan; Bernard Foglia; Sylvie Dunoyer-Geindre; Jacques-Antoine Haefliger; Stephan Winnik; François Mach; Gerard Pasterkamp; Richard W James; Brenda R Kwak
Journal:  Atherosclerosis       Date:  2012-02-08       Impact factor: 5.162

Review 2.  Functional consequences of abnormal Cx43 expression in the heart.

Authors:  Magda S C Fontes; Toon A B van Veen; Jacques M T de Bakker; Harold V M van Rijen
Journal:  Biochim Biophys Acta       Date:  2011-08-03

Review 3.  Cardiac connexins and impulse propagation.

Authors:  John A Jansen; Toon A B van Veen; Jacques M T de Bakker; Harold V M van Rijen
Journal:  J Mol Cell Cardiol       Date:  2009-08-31       Impact factor: 5.000

Review 4.  2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society.

Authors:  Craig T January; L Samuel Wann; Joseph S Alpert; Hugh Calkins; Joaquin E Cigarroa; Joseph C Cleveland; Jamie B Conti; Patrick T Ellinor; Michael D Ezekowitz; Michael E Field; Katherine T Murray; Ralph L Sacco; William G Stevenson; Patrick J Tchou; Cynthia M Tracy; Clyde W Yancy
Journal:  J Am Coll Cardiol       Date:  2014-03-28       Impact factor: 24.094

Review 5.  Connexins in atherosclerosis.

Authors:  Anna Pfenniger; Marc Chanson; Brenda R Kwak
Journal:  Biochim Biophys Acta       Date:  2012-05-15

6.  Conduction disturbances and increased atrial vulnerability in Connexin40-deficient mice analyzed by transesophageal stimulation.

Authors:  A Hagendorff; B Schumacher; S Kirchhoff; B Lüderitz; K Willecke
Journal:  Circulation       Date:  1999-03-23       Impact factor: 29.690

7.  Association between C1019T polymorphism of connexin37 and acute myocardial infarction: a study in patients from Sicily.

Authors:  Florinda Listì; Giuseppina Candore; Domenico Lio; Mariangela Russo; Giuseppina Colonna-Romano; Marco Caruso; Enrico Hoffmann; Calogero Caruso
Journal:  Int J Cardiol       Date:  2005-07-10       Impact factor: 4.164

Review 8.  Association of Connexin37 C1019T with myocardial infarction and coronary artery disease: a meta-analysis.

Authors:  Dan Wen; Xin Du; Shao-Ping Nie; Jian-Zeng Dong; Chang-Sheng Ma
Journal:  Exp Gerontol       Date:  2014-06-14       Impact factor: 4.032

9.  Association of human connexin40 gene polymorphisms with atrial vulnerability as a risk factor for idiopathic atrial fibrillation.

Authors:  Mehran Firouzi; Hemanth Ramanna; Bart Kok; Habo J Jongsma; Bobby P C Koeleman; Pieter A Doevendans; W Antoinette Groenewegen; Richard N W Hauer
Journal:  Circ Res       Date:  2004-08-05       Impact factor: 17.367

10.  Comparison of expression of connexin in right atrial myocardium in patients with chronic atrial fibrillation versus those in sinus rhythm.

Authors:  Tomoko Nao; Tomoko Ohkusa; Yuji Hisamatsu; Noriko Inoue; Tomo Matsumoto; Jutaro Yamada; Akihiko Shimizu; Yasuhiro Yoshiga; Toshihiko Yamagata; Shigeki Kobayashi; Masafumi Yano; Kimikazu Hamano; Masunori Matsuzaki
Journal:  Am J Cardiol       Date:  2003-03-15       Impact factor: 2.778

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