A preliminary study of the association between the ABCA1 gene promoter DNA methylation and coronary artery disease risk.

Coronary artery disease (CAD) is a common health problem in Iranian population. ATP binding cassette transporter A1 (ABCA1) plays central role in the efflux of the cholesterol from peripheral tissues back to liver. Inactivation of ABCA1 by epigenetic change such as DNA methylation may contribute to the development of CAD. The present study investigated the association between promoter DNA methylation status of ABCA1 with the development and severity of CAD. Our study population consisted of 110 angiographically documented CAD patients and 110 controls. The severity of CAD was determined based on the number of stenotic vessels showing more than 50% stenosis. Promoter DNA methylation status of ABCA1 was determined by methylation specific PCR. Lipid profile was determined by routine colorimetric methods. Results showed that the frequency of ABCA1 DNA methylation was significantly higher in CAD group as compared with control group (16.36% vs 5.45%; P=0.015). Also, the methylation frequency of ABCA1 gene was significantly higher in older CAD patients as compared with younger CAD patients (P=0.038). No association was seen between plasma lipid concentration and the promoter DNA methylation status of ABCA1 (P>0.05). Also, the association between the severity of CAD and methylation of ABCA1 gene was not significant (P>0.05). In conclusion the current study indicated ABCA1 DNA methylation as a significant risk factor for development but not severity of CAD. Also, predisposition to the development of CAD by ABCA1 gene DNA methylation was independent of plasma lipid concentration.

INTRODUCTION

Coronary artery disease (CAD) is a common and preventable health problem in many developed and developing countries. During the past years, the prevalence of CAD has been increased in Iran [1]. Several mechanisms including defects in inflammatory response signaling pathways and abnormalities in the lipid metabolism pathways have been involved in the pathogenesis of coronary heart disease [2, 3]. Excessive accumulation of cholesterol loaded macrophages, known as foam cells, may play pivotal roles in the formation and development of atherosclerotic lesions.

The formation of foam cells in the arterial intima is the result of imbalance between influx and efflux of cholesterol and has been considered as a pathological hallmark of CAD [4]. Several key regulators are involved in the cholesterol traffic across the cell membranes including ATP binding cassette transporter A1 (ABCA1) and G1 (ABCG1) which are the members of ATB transporter superfamily [4]. The ABCA1 transporter participates in initial phase of reverse cholesterol transportation (RCT) by effluxing of the cholesterol from peripheral cells and foam cells to lipid-poor apolipoprotein AI and thereby creating nascent high-density lipoprotein particles (HDL) [5]. However, a study, demonstrated that Monocyte/macrophage ABCA1 contributed to HDL formation, but the contribution to the overall plasma HDL levels was minimal [6]. The defect in the ABCA1 function may impair the RCT activity and could result in the formation of lipid loaded macrophages and foam cells in arterial walls [5, 7].

The ABCA1 resides on chromosome 9q31.1 and several mutations have been identified in this gene [8, 9]. Mutations in the ABCA1 were shown to be involved in the pathogenesis of Tangier disease characterized by lack of HDL-C in plasma and an increased tendency to develop premature cardiovascular disease [10]. Pervious studies have indicated a link between mutations or single nucleotide polymorphisms in the ABCA1 and CAD risk [9, 11, 12]. In addition to genetic changes, epigenetic alteration such as DNA methylation associated with gene inactivation may contribute to the risk of coronary heart disease [13-15]. DNA methylation, the most common and stable epigenetic change, is characterized by the addition of methyl group to CpG dinucleotide in the promoter of gene, that generally cause suppression of gene expression [15, 16]. The association between epigenetic DNA methylation alteration and coronary heart disease or atherosclerosis has been investigated in several studies [17, 18]. The role of promoter DNA methylation status of ABCA1 in the pathogenesis of CAD has been addressed in a few studies [13, 14]. So, because of the critical function of ABCA1 transporter in the regulation of lipid metabolism and RCT function, the present study investigated the association between ABCA1 promoter DNA methylation status with the development and severity of CAD risk and also with the lipid profile in an Iranian sub-population.

MATERIALS AND METHODS

Study subjects: The investigated population consisted of 110 angiographically documented CAD patients (56 men and 54 female) admitted for angiography center of Moussavi Medical and Educational Center of Zanjan and 110 ethnically matched healthy subjects (55 men and 55 female) as control. All CAD patients were inspected with an expert cardiovascular specialist and were included in the study based on a minimum stenosis of 50% in at least one major coronary vessel on angiography. The severity of CAD was determined according to the number of stenotic vessels showing more than 50% stenosis and thereby patients were categorized into single-, double- and triple vessel stenosis. The CAD patients showing luminal stenosis of <50% or taking lipid-lowering drugs were not included in the study. Also, patients with infectious disease, inflammatory disease, auto immune disorders and major organ failure were excluded from the study. Control subjects with a family history of CAD or in the presence of a concomitant disease such as auto immune disease, febrile disease, malignant diseases or organ failure were excluded from the study. Information regarding the smoking habits, hypertension (as defined by systolic blood pressure>140 mmHg and/or diastolic blood pressure >90 mmHg) and diabetes (as defined by fasting blood glucose >126mg/dL), family history of heart disease, hyperlipidemia and the presence of any acute or chronic disease was obtained from all participants. The study was approved by the ethical committee of Zanjan University of Medical Sciences (Ethical code: ZUMS.REC.1394.268). Written informed consent was obtained from all of the study subjects.

Blood sample collection and Biochemical assays: After 12 hours fasting, 5 ml blood was collected in EDTA containing tubes and immediately was centrifuged. The plasma fraction was used for biochemical measurements and the cellular fraction was used for DNA extraction. The plasma levels of biochemical markers including glucose, triglyceride (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C) were assayed using calorimetric methods in a Mindray auto-analyzer (BS-200) according to standard protocols provided by commercial enzyme assay kits (Pars Azmoon Co, Tehran, Iran).

Methylation analysis: Genomic DNA was isolated from blood leukocytes using a commercially available DNA extraction kit (Viogene, Poland) according to the manufacturer’s protocol. By using a commercially available EpiTect Bisulfite Kit (Qiagen, Germany), approximately 2 µg of extracted DNA was treated by bisulphite sodium and subsequently was eluted by 50 µl elution buffer and stored at -20 ºC until analysis.

The promoter DNA methylation status of ABCA1 was determined by methylation specific PCR (MSP). Two set of primers specific for methylated and un-methylated status of DNA promoter region were designed using the MethPrimer/ tools and Databases/The Li Lab (http://www.urogene.org/methprimer/). The sequence of primers used for MSP of ABCA1 gene were as follows: (methylated F: AAT TTT ATT GGT GTT TTT GGT TGT C, methylated R: ATA TCT TAA AAT CCG CGA TCT ACG and (un-methylated F: AAT TTT ATT GGT GTT TTT GGT TGT T, un-methylated R: TAT CTT AAA ATC CAC AAT CTA CAT C). Hot Start Master Mix (Ampliqon, Denmark) was used for amplification of target gene in a standard PCR protocol using 10 µm of each primer with an annealing temperature of 58ºC for methylated and 60ºC for un-methylated state. Appropriate positive controls (EpiTect PCR Control DNA Set, Qiagen, Germany) were used in each PCR reaction. Following completion of PCR reaction, the amplified products were electrophoresed on a 3% agarose gel. The size of PCR products with methylated and un-methylated - primers were 139bp and 138bp, respectively.

Statistical methods: The numerical data presented as mean ± SD and were compared using Student t-test. The categorical variables presented as absolute and percentage and were compared using Chi square test or Fisher's exact tests. Also, binary Logistic regression analysis was used to detect the independent association of each risk factor with CAD. The statistical analyses were done using the SPSS 16 statistical software (SPSS Inc., Chicago, Ill) and a P-value less than 0.05 was considered statistically significant.

RESULTS

The investigation of demographic, clinical and laboratory features of study population revealed no significant differences regarding the mean age and sex distribution between the two groups (P>0.05). However, significant differences was seen regarding the plasma triglyceride, total cholesterol, HDL-C, LDL-C, diabetes, hypertension and smoking habits between the two studied group.

Next, we evaluated the frequency of ABCA1 DNA methylation in study population. Statistical analysis using Fisher's exact test indicated that the presence of ABCA1 DNA methylation was significantly more common in CAD group than control group [18 out of 110 CAD patients (16.36%) vs 06 out of 110 controls (5.45%), OR=3.39; 95% CI=1.29-8.90; P=0.015]. Moreover, investigating the prevalence of ABCA1 DNA methylation between the older (age>65 years, mean age: 74.7±8.2; n=38) and younger (age<65 years, mean age: 53.9±9.9; n=72) CAD patients indicated that 11 out of 38 older CAD patients had methylated ABCA1 gene, while 7 out of 72 younger CAD patients revealed methylated ABCA1 gene. Statistical analysis using Fisher's exact test indicated that the frequency of DNA methylation was significantly more common in CAD patients with old age relative to CAD patients with younger age (OR=2.97; 95% CI: 1.06-8.30, P=0.038). However, when the frequency of DNA methylation were compared separately between the two groups of CAD patients and the control group, significant differences was only seen between the older CAD patients and the control group (P=0.001).

In order to investigate the independent association of each variable with the risk of CAD, multiple binary logistic regression analysis was done. Considering the study group (CAD group vs. control group) as the dependent variable and age, sex, TG, TC, HDL-C, LDL-C, smoking, diabetes, hypertension and ABCA1 methylation status as covariates, the methylated state of ABCA1 was identified as a significant and independent risk factor for CAD development (OR=2.68, 95% CI: 1.12-7.13; P=0.028). Moreover, other variables such as smoking (P=0.008), hypertension (P=0.027), TG (P=0.006), TC (P<0.001), HDL-C (P<0.001) and LDL-C (P=0.028) displayed a significant and independent effect on CAD risk. However, some other variable including age (P=0.406), sex (P=0.951) and diabetes (P=0.072) were not identified as significant covariate in the regression analysis. Next, we investigated the correlation between ABCA1 DNA methylation and lipid profile. As, presented in Table 1, no significant differences was seen regarding the plasma lipid levels between the methylated and un-methylated status of ABCA1 in both CAD group (P>0.05) and control group (P>0.05).

Table 1

The association between lipid concentrations with ABCA1 DNA methylation status

Methylation status	TG	TC	HDL-C	LDL-C
CAD group
Un-methylated	194.39±81.42	206.23±62.14	39.35±8.42	103.93±34.19
Methylated	190.06±90.38	195.87±52.6	35.98±8.36	88.90±42.02
P	0.840	0.509	0.124	0.104
Control group
Un-methylated	162.15±67.29	168.75±47.23	46.48±12.99	91.98±33.02
Methylated	190.06±90.38	181.51±103.07	43.76±8.53	82.03±29.17
P	0.508	0.576	0.614	0.472

The interaction between CAD and some acquired risk factors such as diabetes, hypertension and smoking on the DNA methylation of ABCA1 was evaluated. Results indicated only significant impact of smoking on the DNA methylation of ABCA1 in CAD cases (Table 2). However, because of low number of DNA methylation in control group, the effect of these risk factors on DNA methylation was ignored in controls.

Table 2

: Interaction between coronary artery disease and some acquired risk factors on the ABCA1 DNA methylation status.

	Methylated (n=18)	Un-methylated (n=92)	OR (95% CI) *	P -value *
Diabetes	09	19	2.42 (0.94-6.20)	0.106
Hypertension	06	20	1.53 (0.54-4.35)	0.403
Smoking	12	22	2.78 (1.17-6.62)	0.028

Calculated by Fisher's exact test.

The association between the severity of CAD, as determined by the number of stenotic vessels showing more than 50% stenosis and the methylation status of ABCA1 gene was also investigated. Results indicated no significant differences regarding the frequency of ABCA1 methylation between CAD patients with single, double and triple stenotic vessels (P>0.05) (Table 3).

Table 3

The frequency of ABCA1 DNA methylation in CAD patients with the single, double and triple stenotic coronary vessels

Methylation state	1 SV n=39	2 SV n=46	3 SV n=25	2SV vs 1SV	3SV vs 1SV
				P *	P *
Un-methylated	34 (87.12)	40 (86.96)	18 (72.0)	Ref	Ref
Methylated	05 (12.82)	06 (13.04)	07 (28.0)	0.993	0.189

Calculated using Fisher's exact test.

DISCUSSION

The present study investigated the role of ABCA1 DNA methylation in the development and severity of CAD in an Iranian subpopulation. ABCA1 is a key regulator of revers cholesterol transport from peripheral tissues back to liver [19]. Previous studies have shown that genetic variations in the ABCA1 gene may contribute to the development of CAD [9,11,20]. The present study indicated promoter DNA methylation of ABCA1 as a significant risk factor for development but not for severity of CAD. Similarly, in a recently published study by Guay et al. the ABCA1 DNA methylation was reported as a significant and independent risk factor for CAD [21]. Also, in another study in the patients with familial hypercholesterolemia it was indicated that ABCA1 gene promoter methylation was associated with CAD occurrence [14]. Peng et al. in a study of 85 coronary heart diseases (CHD) has reported that ABCG1 gene DNA methylation was more common among CHD patients relative to CHD free subjects [22]. Our preliminary results indicated ABCA1 gene promoter methylation as a significant risk factor for CAD occurrence in older CAD patients but not in younger age ones. Similarly, other studies have also reported significant association between ABCA1 gene promoter methylation and aging [21]. The higher ABCA1 DNA methylation levels observed in CAD patients with old age could also be related to a longer disease history that can lead to accumulation of epigenetic changes in these patients [23].

The current study found no significant association between ABCA1 promoter methylation and plasma lipid concentrations. This result is inconsistent with some previous studies [13, 14]. However, in a mice model that was selectively deficient in leukocyte ABCA1 locus, significant increase in the CAD occurrence was seen without considerable change in the plasma HDL-C levels [24]. It should be noted that alteration in the ABCA1 could affect RCT activity and the net flux of cholesterol from the vessel wall toward the liver, and thereby may influence the development and or severity of CAD without necessarily modifying plasma lipid levels [7, 11, 25]. Our study was also in agreement with the study of Peng et al. that found no significant association between ABCG1 methylation and the lipid profile in a recently published study [22]. In the present study, a significant effect of smoking on DNA methylation was seen in CAD patients. So, ABCA1 DNA methylation may be contributed to the interaction of CAD and smoking. This finding may provide an epigenetic mechanism by which tobacco smoking increases the risk of CAD. Similarly, some previous studies have demonstrated the effect of tobacco smoking on DNA methylation of CAD-related genes [26, 27]. Some limitations exist in the present study including (i) the gene expression levels of ABCA1 gene was not investigated (ii) the assay of the cellular cholesterol efflux activity which is a better indicator of ABCA1 activity was not evaluated.

Conflict of Interest:

There is no conflict of interests to be declared regarding the publication of this paper.