- Open Access
The associations between endothelial lipase 584C/T polymorphism and HDL-C level and coronary heart disease susceptibility: a meta-analysis
© Cai et al.; licensee BioMed Central Ltd. 2014
- Received: 15 March 2014
- Accepted: 4 May 2014
- Published: 22 May 2014
Studies had investigated the relationships between endothelial lipase (EL) 584C/T polymorphism and high density lipoprotein cholesterol (HDL-C) level and coronary heart disease (CHD), but the results were controversial. To investigate a more authentic associations between EL 584C/T polymorphism and HDL-C level, and the risk of CHD, we performed this meta-analysis.
We searched electric databases for all articles on the associations between EL 584C/T polymorphism and HDL-C level, and CHD risk. Odds ratios (ORs) with 95% confidence interval (CI) were used to evaluate the strength of the association between the EL 584C/T polymorphism and the CHD susceptibility. The pooled standardized mean difference (SMD) with 95% CI was used for the meta-analysis of EL 584C/T polymorphism and HDL-C level. Begg’s funnel plots and Egger’s test were used to examine the publication bias.
For CHD association, the pooled OR was 0.829 (95% CI: 0.701-0.980, P = 0.028) for the dominant model and 0.882 (95% CI: 0.779-0.999, P = 0.049) for the allelic model. By meta-regression analysis, we found that only total sample size could influence the initial heterogeneity. When the subgroup analysis was carried out, we found that the protective effect only existed in the subgroups of relatively small sample size. Sensitivity analyses indicated that Tang’s study influenced the overall results significantly. We calculated the pooled ORs again after excluding Tang’s study and found the association between EL 584C/T polymorphism and the risk of CHD was not significant for any genetic model. For HDL-C level association, the carriers of 584 T allele had a higher HDL-C level than the non-carriers. The pooled SMD was 0.399 (95% CI: 0.094-0.704, P = 0.010). When the studies were stratified by ethnicity and total sample size, the positive effects existed in the Caucasians and in subgroups of larger sample size. No significant publication bias was found in the present meta-analysis.
The results of the present meta-analysis suggest that the carriers of EL 584 T allele have a higher HDL-C level in Caucasian populations. Whereas, it might not be a protective factor for CHD.
- Endothelial lipase
- High density lipoprotein cholesterol
- Coronary heart disease
Coronary heart disease (CHD) and its serious complications are among the most common causes of death in developed countries. The pathogenesis of CHD is related to multiple risk factors, including environmental and hereditary factors. Recently, there has been an increasing interest in the role of the single-nucleotide polymorphisms (SNPs) in the pathogenesis of CHD. Some SNPs may be associated with the risk of CHD[2, 3], and others may be not[4, 5].
Endothelial lipase (EL), which was first discovered by two independent research groups in 1999, might increase the susceptibility to CHD[6, 7]. EL protein is secreted mainly by vascular endothelial cells. It is a new member of the triglyceride (TG) lipase family, which has both phospholipase activity and TG lipase activity. A mature EL consists of three conserved catalytic regions and binding sites. A mature EL is about 55KDa. EL can hydrolyze the high density lipoprotein cholesterol (HDL-C) and then generate free fatty acids, lysolecithin and low-lipid ApoAI. There is a growing body of evidence suggesting that EL plays a crucial role in the pathogenesis of CHD by reducing the HDL-C and inducing the macrophages to take up native low density lipoprotein cholesterol (LDL-C).
The coding gene for EL protein is located at 18q21.1. In 2002, the EL 584C/T gene variant (rs2000813) was first identified by deLemos et al., which leads to the amino acid substitution. The thymine is substituted for cytosine at nucleotide position 584, leading to a change from Thr to Ile at the position 111 of the EL protein. In previous studies, the genetic variant frequency was reported differently in White and Black (31.2% and 10.3%, respectively), and varied significantly in different populations[10, 11]. Several studies had investigated the relationships between EL 584C/T polymorphism and HDL-C level and/or the risk of and CHD[12–21]. But, the results were controversial. Some evidences indicated that this common variant might be associated with HDL-C level and also play an important role in the development of CHD[12, 13]. In contrast, some other studies had contradictory conclusions[14–17]. In 2009, Jensen et al. reported that no significant association was found between this variant and the risk of CHD among Caucasian population in three independent populations. In 2012, Cai et al. concluded that the EL 584C/T polymorphism was not associated with HDL-C level or the CHD risk in the Chinese population.
Because the sample size in each of the published studies was relatively small, we performed this meta-analysis to investigate whether there are real associations between EL 584C/T polymorphism and the HDL-C level, and the risk of CHD.
The meta-analysis followed the Perferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) criteria. We searched the PubMed, Foreign Medical Journal Service (FMJS), Google Scholar, Web of science, Embase, Wanfang Data (http://www.wanfangdata.com.cn), and China National Knowledge Infrastructure (CNKI) databases for all articles on the associations between the EL 584C/T polymorphism with HDL-C level, and the CHD risk (last search was updated 1 February 2014). The following terms were used in the search: ("endothelial lipase" or "EL"), ("polymorphism" or "mutation" or "variant"), ("blood lipid" or "HDL-C") ("coronary heart disease" or "coronary arterial disease" or "angina pectoris" or "myocardial infarction" or "acute coronary syndrome" or "CHD" or "CAD" or "AP" or "MI" or "ACS"). The inclusion criteria were as follows: (1) The study examined the associations between the EL 584C/T polymorphism and HDL-C level and/or CHD risk; (2) For CHD association, the study must be case–control or nested case–control study and must have the clear original data of genotypic and allelic frequencies; (3) For HDL-C level association, the study must have clear original data of the mean of HDL-C level and standard deviations (SD) by genotypes. At the same time, the number of each genotype must be clear; (4) There was no restriction on language. References cited in the relevant papers were also scanned.
Data from the eligible studies were collected independently by the two authors (Cai and Huang). Disagreement was solved with by a discussion between the two authors. The following data were collected from each study: first author’s name, year of publication, average age, country, ethnicity of the studied population, numbers of cases and controls, frequency of EL 584C/T gene polymorphism in cases and controls, the mean of HDL-C level and SD by genotypes. If a paper's data was unconvincing, we attempted to contact the correspondent author by e-mail. All the data were recorded in a standardized form.
The odds ratios (ORs) with 95% CI were used to evaluate the strength of the association between the EL 584C/T polymorphism and the CHD susceptibility. The pooled ORs were performed for four genetic models (allelic model: T vs. C; additive model: TT vs. CC; recessive model: TT vs. CT + CC; and dominant model: TT + CT vs. CC). A fixed effect model (a Mantel-Haenszel method) was used to evaluate the results if the between-study heterogeneity was not significant (I2 ≤ 50%, P > 0.05), which was investigated and measured using Cochrane Q statistic. Otherwise, the random-effect model (a Dersimonian-Laird method) was used. Sensitivity analysis was carried out by calculating the results again by omitting one single study each time. If there was significant heterogeneity among studies, we performed the meta-regression analysis to explore the sources of heterogeneity. The confounding factors included year of publication, ethnicity, RR (ratio of case size to control size), type of study and total sample size. Subgroup analysis was performed by ethnicity, total sample size and deviation from Hardy-Weinberg equilibrium (HWE). The pooled standardized mean difference (SMD) with 95% CI was used for the meta-analysis of EL 584C/T polymorphism and HDL-C level. The publication bias between the studies was examined by Begg’s funnel plots and Egger’s test (P < 0.05 was considered representative of statistically significant publication bias). HWE was assessed by Fisher’s exact test and a P value smaller than 0.05 was considered statistically significant. All statistical analyses were performed by using STATA version 12.0 (StataCorp LP, College Station, Texas 77845 USA).
Main characteristics of studies involved in this meta-analysis of EL 584C/T polymorphism and CHD risk
Type of study
Mean age (years) (case/control)
Sample size (case/control)
Total sample size
Characteristics of individual studies included in the meta-analysis of EL 584C/T polymorphism and HDL-C level
Type of study
CT + TT
Meta-analysis results of association between EL 584C/T polymorphism and CHD risk
Number of studies
TT vs CC + CT
CT + TT vs CC
T vs C
TT vs CC
I 2 (%)
I 2 (%)
I 2 (%)
I 2 (%)
Total sample size
Evaluation of heterogeneity
For CHD association, there was a significant heterogeneity for the dominant model (I2 = 61.3%, Pheterogeneity = 0.008) and for the allelic model (I2 = 59.5%, Pheterogeneity = 0.011). To explore the sources of heterogeneity between the studies, we performed the meta-regression analysis by ethnicity (Asian or Caucasian), year of publication (before 2006 or after 2006), type of study (case–control study or nested case–control study), R/R (more than 1.0 or less than 1.0) and total sample size (more than 600 or less than 600). We found that only the total sample size could influence the initial heterogeneity (Pmeta-regression = 0.008, for allelic model).
For the HDL-C level association, the heterogeneity among studies was also significant (I2 = 97.2%, Pheterogeneity = 0.000). To explore the sources of heterogeneity, we performed subgroup analyses by ethnicity (Asian or Caucasian) and total sample size (less than 600 or more than 600), but the heterogeneity remained significant. The subgroup analyses suggested that the association between EL 584C/T polymorphism and HDL-C level only existed in Caucasian populations and in subgroups of large sample size (Additional file1).
For the HDL-C level association, the influence of each single study on the overall meta-analysis was also carried out by calculating pooled SMD again by omitting a single study each time. The results did not show any significant difference when omitting each study, which indicated that a single study didn’t influence the stability of the entire study (Figure 6B).
In the present study, we performed a systematic review of the associations between EL 584C/T polymorphism with HDL-C level, and the risk of CHD. Our meta-analysis concluded that there was no significant association between the EL 584C/T polymorphism and the risk of CHD. Nevertheless, the carriers of EL 584 T allele had a higher HDL-C level than non-carriers in Caucasian populations.
A growing body of evidence indicates that the EL might play a crucial role in the HDL-C metabolism[31–33] and in the pathogenesis of cardiovascular disease (CVD)[34, 35]. EL has a catalytic phospholipase activity and noncatalytic legend-bridging functions, which can hydrolyze the HDL-C and increase the clearance of HDL-C. As we know, the level of HDL-C correlated with the risk of CHD negatively. So the pro-atherosclerotic action of EL was probably partly caused by decreasing the level of HDL-C. The level of EL was regulated by several factors. Badellino et al. found the level of EL positively correlated with the level of high-sensitivity C-reactive protein, interleukin-6, soluble intercellular adhesion molecule-1, etc. but negatively correlated with the adiponectin level.
EL 584C/T gene variant is a missense polymorphism in exon 3, and was identified in 2002. To date, some studies have failed to validate the associations between EL 584C/T polymorphism and HDL-C level[13, 15], and the risk of CHD[14–17], whereas other studies found this variant was associated with HDL-C level[12, 17] and could also reduce the CHD susceptibility[12, 13]. By the prospective case–control study in EPIC-Norfolk, Vergeer et al. suggested that the minor allele of EL 584C/T was not associated with CHD. In our previous study, we didn’t find a statistically significant associations between the variant and HDL-C level, and the risk of CHD (OR = 0.92, 95% CI = 0.70-1.20, P = 0.528) either.
In 2008, Tang et al. carried out a study including 530 age- and sex-matched Chinese subjects to investigate the relationship between the common variant and the CHD risk. They concluded that the T allele could significantly reduce the CHD susceptibility. At the same time, they found the serum HDL-C level was significantly higher in the T allele carriers (CT + TT genotypes) than the wide-type CC carriers. In a case–control study of 214 Japanese individuals, Shimizu et al. also found the T allele was an independent protective factor to AMI (OR = 0.52, 95% CI: 0.28-0.98, P = 0.04).
In 2009, Jensen et al. performed a study to evaluate the relationship between the EL 584C/T polymorphism and the risk of CHD in three independent populations. Their study did not support an association between this variant and the risk of CHD in Caucasian populations. But only three independent Caucasian populations with 4140 individuals were included in their study and all studies were nested case–control studies. The statistical effect was limited because of the relatively small sample size. So we performed this meta-analysis including 13 independent populations. The results of the present meta-analysis were more convincing, as the statistical power increases. In this study, we found the EL 584C/T polymorphism was not significantly associated with the risk of CHD. Although the pooled effects indicated that the EL 584C/T polymorphism might be significantly associated with CHD in overall population (for the dominant model, OR = 0.829, 95% CI: 0.701-0.980, P = 0.028; for the allelic model, OR = 0.882, 95% CI: 0.779-0.999, P = 0.049). The sensitivity analysis found that the pooled effects changed after Tang’s study was excluded, which indicated that this study influenced the stability of the whole study. When Tang’s study was excluded, the conclusion changed completely (for the dominant model, OR = 0.908, 95% CI: 0.818-1.006, P = 0.066; for the allelic model, OR = 0.952, 95% CI: 0.883-1.027, P = 0.203). In our study, we found the significant heterogeneity among studies (I2 = 61.3%, Pheterogeneity = 0.008, for dominant model; I2 = 59.5%, Pheterogeneity = 0.011, for allelic model). So, we performed the meta-regression analysis to explore the sources of heterogeneity. The confounding factors, involving ethnicity, year of publication, RR and total sample size, were involved in meta-regression analysis. Total sample size (more than 600 or less than 600), but not other factors, could influence the initial heterogeneity (Pmeta-regression = 0.008, for allelic model; Pmeta-regression = 0.027, for dominant model), which could explain most heterogeneity. When we performed the subgroup analysis by total sample size, we found the association only existed in relatively small sample size subgroups, rather than larger sample size subgroups. In addition, when the stratified analysis was carried out by ethnicity, we found the protective effect only existed in the Asian subgroups. But, the sample size of each Asian study ranged from 214 to 623, which was relatively small. Especially, the Tang’s study involved both Asian subgroup and small sample size subgroup. We analyzed their study and found the frequency of T allele was significantly higher in their study than in others and the controls were not all confirmed by coronary angiography. These might partly influence the heterogeneity and the results. We calculated the pooled ORs again after excluding their study. The pooled ORs suggested that the EL 584C/T polymorphism was not associated with CHD risk. So, we should interpret the results cautiously.
In addition, our study concluded that the carriers of T allele had the higher HDL-C level than the non-carriers. The subgroup analysis suggested the positive result only existed in Caucasian populations. Because of the significant heterogeneity among studies, the subgroup analyses were carried out by ethnicity and the total of sample size. It was regrettable that the stratified analyses did not reduce the heterogeneity significantly. Individuals included in this study had different genetic background and environmental factors. At the same time, the sample size of each study varied and the age difference among the studies was also relatively large. All of these might contribute to the heterogeneity. The subgroup analyses suggested that the association between EL 584C/T polymorphism and HDL-C level existed in Caucasian populations and in subgroup of large sample size.
There were several inherent limitations in this meta-analysis. Firstly, the sample sizes of some studies were relatively small and they might not have an adequate power to detect the possible risk for the EL 584C/T polymorphism. Secondly, this meta-analysis only involved the published studies. As we all know, the papers having negative result were probably more difficult to be accepted for publication. So the inevitable publication bias may exist in the results, although the Egger’s tests indicated no remarkable publication bias in our meta-analysis. Thirdly, the populations only come from Asians and Caucasians. Other ethnic populations should be involved in the future studies, such as Africans.
Despite these limitations, the results of the present meta-analysis suggest that the carriers of T allele have the higher HDL-C level in Caucasians but not in Asians. Whereas, there is no significant association between the EL 584C/T polymorphism and the reduced risk of CHD. Due to the limitations of the current meta-analysis, studies in Asian and other populations with larger sample size should be carried out to confirm the results in the future.
The authors are grateful to the staff of the department of Cardiology, Wujin Hospital.
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