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Open Access

Peer-reviewed

Research Article

Correlations of MTHFR 677C>T Polymorphism with Cardiovascular Disease in Patients with End-Stage Renal Disease: A Meta-Analysis

  • Xian-Hui Gao ,

    gaoxianhui16@126.com

    Affiliation Laboratory of Preventive Medicine, School of Public Health, Liaoning Medical University, Jinzhou, China

    ⨯
  • Guo-Yi Zhang,

    Affiliation Laboratory of Preventive Medicine, School of Public Health, Liaoning Medical University, Jinzhou, China

    ⨯
  • Ying Wang,

    Affiliation Department of Toxicology, School of Public Health, Liaoning Medical University, Jinzhou, China

    ⨯
  • Hui-Ying Zhang

    Affiliation Sleep Monitoring Center, First Affiliated Hospital of Liaoning Medical University, Jinzhou, China

    ⨯

Correction

19 Dec 2014: The PLOS ONE Staff (2014) Correction: Correlations of MTHFR 677C>T Polymorphism with Cardiovascular Disease in Patients with End-Stage Renal Disease: A Meta-Analysis. PLOS ONE 9(12): e116443. https://doi.org/10.1371/journal.pone.0116443 View correction

Abstract

Objective

This meta-analysis was conducted to evaluate the correlations of a common polymorphism (677C>T) in the methylenetetrahydrofolate reductase (MTHFR) gene with risk of cardiovascular disease (CVD) in patients with end-stage renal disease (ESRD).

Method

The following electronic databases were searched without language restrictions: Web of Science (1945∼2013), the Cochrane Library Database (Issue 12, 2013), MEDLINE (1966∼2013), EMBASE (1980∼2013), CINAHL (1982∼2013) and the Chinese Biomedical Database (CBM) (1982∼2013). Meta-analysis was performed using STATA statistical software. Odds ratios (ORs) with their 95% confidence intervals (95%CIs) were calculated.

Results

Eight cohort studies met all inclusion criteria and were included in this meta-analysis. A total of 2,292 ESRD patients with CVD were involved in this meta-analysis. Our meta-analysis results revealed that the MTHFR 677C>T polymorphism might increase the risk of CVD in ESRD patients (TT vs. CC: OR = 2.75, 95%CI = 1.35∼5.59, P = 0.005; CT+TT vs. CC: OR = 1.39, 95%CI = 1.09∼1.78, P = 0.008; TT vs. CC+CT: OR = 2.52, 95%CI = 1.25∼5.09, P = 0.010; respectively). Further subgroup analysis by ethnicity suggested that the MTHFR 677C>T polymorphism was associated with an elevated risk for CVD in ESRD patients among Asians (TT vs. CC: OR = 3.38, 95%CI = 1.11∼10.28, P = 0.032; CT+TT vs. CC: OR = 1.44, 95%CI = 1.05∼1.97, P = 0.022; TT vs. CC+CT: OR = 3.15, 95%CI = 1.02∼9.72, P = 0.046; respectively), but not among Africans or Caucasians (all P>0.05).

Conclusion

Our findings indicate that the MTHFR 677C>T polymorphism may be associated with an elevated risk for CVD in ESRD patients, especially among Asians.

Citation: Gao X-H, Zhang G-Y, Wang Y, Zhang H-Y (2014) Correlations of MTHFR 677C>T Polymorphism with Cardiovascular Disease in Patients with End-Stage Renal Disease: A Meta-Analysis. PLoS ONE 9(7): e102323. https://doi.org/10.1371/journal.pone.0102323

Editor: Yan Gong, University of Florida, United States of America

Received: February 10, 2014; Accepted: June 17, 2014; Published: July 22, 2014

Copyright: © 2014 Gao et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Funding: The authors have no support or funding to report.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Hemodialysis (HD) is a common form of dialysis therapy for kidney disease by achieving the extracorporeal removal of waste products such as creatinine, urea and free water from the blood [1]. HD is the most common procedure performed for patients with end-stage renal disease (ESRD), with an estimation of 1.5 million ESRD patients receiving HD worldwide [2]. Despite its important role in treating ESRD, HD also serves as a multiplier for other vascular risk factors, contributing to an increased incidence of cardiovascular disease, such as atrial fibrillation and myocardial ischemia [3], [4]. Moreover, it has been reported that mortality caused by cardiovascular disease (CVD) in ESRD patients is 25% higher than that in the general population [5], [6]. Therefore, the assessment and prevention of CVD are major considerations for dealing patients with HD [7]. Generally, CVD refers to any disease that affects the cardiovascular system, principally cardiac disease, vascular diseases of the brain and kidney, and peripheral arterial disease [8]. Clinically, traditional CVD risk factors include old age, male sex, diabetes mellitus, and systolic hypertension and so on [9]. Over past few decades, studies have demonstrated that the severity and extent of cardiovascular complications in ESRD patients is disproportionate to the number and severity of traditional risk factors [10], [11]. In recent years, nontraditional risk factors such as hemoglobin levels, inflammation, oxidative stress, and particularly epigenetic mechanisms of gene regulation have been emphasized as factors that may play an important role in the development of cardiovascular disease in patients with HD [12]. In addition, genetic polymorphisms have received considerable attention as a competitive candidate for the risk of CVD in ESRD patients [13].

Methylene tetrahydrofolate reductase (MTHFR), encoded by the MTHFR gene, is a key enzyme in folate metabolism which plays a critical role in the synthesis and methylation of DNA encoding for an enzyme responsible for re-methylation of homocysteine (Hcy) to methionine [14]–[16]. Actually, Hazra et al. confirmed that the functional polymorphism in MTHFR Ala222Val (also reported as MTHFR C677T), rs1801133, on chromosome 1 was associated with plasma homocysteine in a healthy population [17]. The human MTHFR gene is located on the short arm of chromosome 1 (1p36.3), is comprised of 11 exons and 10 introns, and is 19.3 kb in length [17]. Currently, multiple researchers have demonstrated that genetic variations in the MTHFR gene might alter its production and function, thereby affecting individual prevalence rates of some diseases and even cancers [18], [19]. More specifically, multiple polymorphic sites such as 677C>T (rs1801133) and 1298A>C (rs1801131) within the MTHFR promoter region have been reported in previous studies, of which 677C>T has been suggested to be implicated in the susceptibility to CVD in ESRD patients [20], [21]. It should be noted that plasma Hcy levels have been found to be an important risk factor for the development of CVD in ESRD patients [22]. However, polymorphism at nucleotide 677C>T may reduce the activation and thermo-stability of MTHFR, and subsequently inhibit the generation of 5-Methylenetetrahydrofolate and interfere with the normal metabolism and re-methylation of Hcy, thereby resulting in the accumulation of Hcy and an elevated plasma Hcy concentration in individuals; however, contradictory results have also been reported [23], [24]. Given the conflicting evidence on this issue, we conducted a meta-analysis of all available cohort studies to determine whether MTHFR genetic polymorphisms contribute to the pathogenesis of CVD in ESRD patients.

Methods

Publication search

The following electronic databases were searched without language restrictions: Web of Science (1945∼2013), the Cochrane Library Database (Issue 12, 2013), MEDLINE (1966∼2013), EMBASE (1980∼2013), CINAHL (1982∼2013) and the Chinese Biomedical Database (CBM) (1982∼2013). We used the following keywords and MeSH terms in conjunction with a highly sensitive search strategy: [“SNP” or “mutation” or “genetic polymorphism” or “variation” or “polymorphism” or “single nucleotide polymorphism” or “variant”] and [“cardiovascular disease” or “CVD” or “cardiovascular risk” or “Hemodialysis” or “HD”] and [“methylenetetrahydrofolate reductase” or “MTHFR” or “methylene tetrahydrofolate reductase” or “5,10-methylenetetrahydrofolate reductase”]. We also conducted a manual search to find other potential articles based on references identified in retrieved articles.

Inclusion and exclusion criteria

The following criteria were used to determine the eligibility of included studies: (1) the study design must be a clinical cohort study; (2) the study must relate to the relationships of MTHFR 677C>T polymorphisms with the risk of CVD in ESRD patients; (3) all patients met the diagnostic criteria for HD; (4) the study must provide sufficient information about the frequencies of the MTHFR 677C>T polymorphism. If a study could not meet the inclusion criteria, it was excluded. The most recent or the largest sample size publication was included when the authors published several studies using the same subjects. The supporting PRISMA checklist is available as Checklist S1.

Data extraction

Data were systematically extracted by two authors from each included study using a standardized form. The form used for data extraction documented the most relevant items including publication year, language of publication, the first author's surname, geographical location, sample size, design of study, the source of the subjects, source of samples, allele frequencies, genotyping method of SNP, evidence of HWE in healthy controls, etc.

Methodological assessment

Methodological quality was independently assessed by two observers according to the Newcastle-Ottawa Scale (NOS) criteria [25]. The NOS criteria includes three aspects: (1) subject selection: 0∼4 points; (2) comparability of subject: 0∼2 points; (3) clinical outcome: 0∼3 points. NOS scores range from 0 to 9 with a score ≥7 indicating good quality. The supporting NOS score criteria are available in Supplement S1.

Statistical analysis

Meta-analysis was performed with the use of the STATA statistical software (Version 12.0, Stata Corporation, College Station, TX, USA). Odds ratios (ORs) with their 95% confidence intervals (95%CIs) were calculated as estimates of relative risk for CVD in ESRD patients. The Z test was used to estimate the statistical significance of pooled ORs. Heterogeneity among studies was estimated by the Cochran's Q-statistic and I2 tests [26]. If a Q-test shows a P<0.05 or I2>50%, indicating significant heterogeneity, the random-effects model was conducted; otherwise the fixed-effects model was used. We also explored reasons for heterogeneity using meta-regression and subgroup analyses. In order to evaluate the influence of single studies on the overall estimate, a sensitivity analysis was performed. Funnel plots and Egger's linear regression test were applied to investigate publication bias [27].

Results

Eligible studies

Initially, the highly sensitive search strategy identified 156 articles. After screening the titles and abstracts of all retrieved articles, 78 articles were excluded. Then full texts were reviewed and 65 articles were further excluded. Another 5 studies were also excluded due to lack of data integrity (Figure 1). Finally, 8 cohort studies were included in this meta-analysis [21], [23], [24], [28]–[32]. Publication years of the eligible studies ranged from 2000 to 2011. Figure 2 shows the distribution of the number of topic-related literatures in electronic databases over the last decade. A total of 2,292 ESRD patients with CVD were involved in this meta-analysis. Four studies were conducted among Asians, three studies among Caucasians, and one study among Africans. The polymerase chain reaction-amplified genes with restriction endonucleases (PCR-RFLP) was performed in 5 studies, while 3 studies used the direct DNA sequencing method. The genotype frequencies of controls were all in HWE (all P>0.05). The NOS scores of all included studies were ≥6. The main characteristics of all eligible studies are listed in Table 1.

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Figure 1. Flow chart shows study selection procedure.

Eight cohort studies were included in this meta-analysis.

https://doi.org/10.1371/journal.pone.0102323.g001

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Figure 2. The distribution of the number of topic-related literatures in the electronic database over the last decade.

https://doi.org/10.1371/journal.pone.0102323.g002

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Table 1. Baseline characteristics and methodological qualities of all included studies.

https://doi.org/10.1371/journal.pone.0102323.t001

Quantitative data synthesis

Meta-analysis findings on the relationship between the MTHFR 677C>T polymorphism and susceptibility to CVD in ESRD patients is shown in Table 2. The random-effects model was conducted due to significant heterogeneity between studies. Our meta-analysis results revealed that the MTHFR 677C>T polymorphism might increase the risk of CVD in ESRD patients (TT vs. CC: OR = 2.75, 95%CI = 1.35∼5.59, P = 0.005; CT+TT vs. CC: OR = 1.39, 95%CI = 1.09∼1.78, P = 0.008; TT vs. CC+CT: OR = 2.52, 95%CI = 1.25∼5.09, P = 0.010; respectively) (Figure 3).

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Figure 3. Forest plots for the relationships between the MTHFR 677C>T polymorphism and the risk of cardiovascular disease in chronic hemodialysis patients.

https://doi.org/10.1371/journal.pone.0102323.g003

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Table 2. Meta-analysis of the relationships between the MTHFR 677 C>T polymorphism and the risk of cardiovascular disease in patients with end-stage renal disease.

https://doi.org/10.1371/journal.pone.0102323.t002

Subgroup and meta-regression analysis were conducted based on ethnicity to investigate potential sources of heterogeneity. Our results suggested that the MTHFR 677C>T polymorphism was associated with the incidence of CVD in ESRD patients among Asians (TT vs. CC: OR = 3.38, 95%CI = 1.11∼10.28, P = 0.032; CT+TT vs. CC: OR = 1.44, 95%CI = 1.05∼1.97, P = 0.022; TT vs. CC+CT: OR = 3.15, 95%CI = 1.02∼9.72, P = 0.046; respectively), but not among Africans or Caucasians (all P>0.05). Further subgroup analyses based on genotyping method suggested that the MTHFR 677C>T polymorphism was closely linked to an increased risk of CVD in the majority of subgroups (as shown in Table 2).

Meta-regression analysis confirmed that none of the considered factors was the main source of heterogeneity (as shown in Table 3). Sensitivity analysis suggested that no single study could influence the overall pooled estimates (Figure 4). We found no evidence of obvious asymmetry in the funnel plots (Figure 5). Egger's test also did not display strong statistical evidence for publication bias (all P>0.05).

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Figure 4. Sensitivity analysis of the summary odds ratio coefficients on the relationships between the MTHFR 677C>T polymorphism and the risk of cardiovascular disease in chronic hemodialysis patients.

https://doi.org/10.1371/journal.pone.0102323.g004

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Figure 5. Funnel plot of publication biases on the relationships between the MTHFR 677C>T polymorphism and the risk of cardiovascular disease in chronic hemodialysis patients.

https://doi.org/10.1371/journal.pone.0102323.g005

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Table 3. Univariate and multivariate meta-regression analyses of potential source of heterogeneity.

https://doi.org/10.1371/journal.pone.0102323.t003

Discussion

MTHFR can catalyze a rate-limiting reaction in the transformation of methionine into Hcy and back exclusively through the transfer of the methyl group to and from methyl-tetrahydrofolate, separately [33]–[35]. It is well documented that an elevated level of the sulphur amino-acid Hcy in plasma is an independent risk factor for atherosclerosis, coronary heart disease, stroke and other CVDs [36], [37]. Meanwhile, the increased fasting level of total Hcy was found to establish an independent contribution to the excess incidence of fatal and non-fatal cardiovascular outcomes [38]. Indeed, the formation of hyperhomocysteinemia (HHcy) was closely associated with folic acid, Vitamin B6 and B12 supplementation [39], but also correlated with sulfur amino acid metabolism [40]. As for MTHFR, since the methyl groups for Hcy mediated DNA-methylation to methionine are related to the provision of 5-methylenetetrahydrofolate, which can be irreversibly transferred from 5 to 10-methylenetetrahydrofolate through MTHFR catalysis, the MTHFR gene probably plays a crucial role in the re-methylation of Hcy [41]. On the other hand, it has been estimated by statistical data in clinical studies that HD patients suffering from mild to moderate HHcy account for a great proportion of the high-risk population for CVD [42]. Therefore, it was hypothesized that common polymorphisms in the MTHFR gene could be functional and associated with the development and progression of CVD in ESRD patients. Recently, the usage of human MTHFR gene mutations in predicting the increased Hcy levels and susceptibility to CVD has been widely adopted [13], [34]. In particular, a relatively common functional polymorphism in MTHFR rs1801133 (677C>T) in exon 4 may influence the plasma Hcy in ESRD patients. Abundant evidence has supported the view that a half reduction in enzymatic capability might lead to a mild Hcy, as well as total elevation of plasma Hcy concentrations in individuals, both of which might contribute to the genetic predisposition to CVD [30], [43].

We undertook the present meta-analysis to elucidate the association of genetic mutations in the MTHFR gene with the incidence of CVD in ESRD patients. Our meta-analysis results showed that the MTHFR 677C>T polymorphism was associated with an increased risk of CVD in ESRD patients, indicating that variants in the MTHFR gene may play a pivotal role in the pathology of CVD in ESRD patients. Although the mechanism by which MTHFR genetic polymorphisms lead to the development of CVD in ESRD patients still remains partially understood, a possible explanation is that the MTHFR 677C>T polymorphism may lead to a mild decrease in MTHFR activity which plays a crucial role in the remethylation of Hcy to methionine, resulting in elevated total plasma Hcy levels which may contribute independently to the excess incidence of fatal and nonfatal CVD. Haviv YS et al. have suggested a major role for plasma Hcy level as a determinant of CVD in ESRD patients, whereby the MTHFR variants and low serum folate are important determinants of plasma Hcy level and therefore may also have an indirect impact on the cardiovascular status [29]. Since heterogeneity obviously existed in our meta-analysis, we performed stratified analyses based on ethnicity and genotyping method. Subgroup analysis by ethnicity indicated that there were marked associations between the MTHFR 677C>T polymorphism and an increased risk of CVD in ESRD patients among Asians. In short, our findings were in accordance with previous studies that found that the MTHFR 677C>T polymorphism may alter the risk of developing CVD in ESRD patients, suggesting that these polymorphisms may be useful as biomarkers for the early diagnosis of CVD in ESRD patients.

As the first meta-analysis focused on the relationships between the MTHFR 677C>T polymorphism and the risk of CVD in ESRD patients, our study has some limitations. First, our results lacked sufficient statistical power to assess correlations between the MTHFR 677C>T polymorphism and susceptibility to CVD in ESRD patients due to a relatively small sample size. Second, as a retrospective study, our meta-analysis may have been influenced by subject selection bias, thereby affecting the reliability of our results. Third, our meta-analysis failed to obtain original data from the included studies, which may have limited further evaluation of the potential roles of the MTHFR 677C>T polymorphism in the development and progression of CVD in ESRD patients. Importantly, the inclusion criteria of cases and controls were not well defined in all included studies, which might also have influenced our results.

In conclusion, our findings indicate that the MTHFR 677C>T polymorphism may contribute to increased CVD risk in ESRD patients. Thus, the MTHFR 677C>T polymorphism may be a useful and promising biomarker for the early detection and prognosis of CVD in ESRD patients. However, due to the limitations mentioned above, more research studies with larger sample sizes are still needed to provide a more representative statistical analysis.

Supporting Information

Checklist S1.

The PRISMA 2009 checklist.

https://doi.org/10.1371/journal.pone.0102323.s001

(DOC)

Supplement S1.

The Newcastle-Ottawa Scale for assessing methodological quality.

https://doi.org/10.1371/journal.pone.0102323.s002

(DOC)

Acknowledgments

We would like to acknowledge the helpful comments on this paper received from our reviewers.

Author Contributions

Conceived and designed the experiments: XHG. Performed the experiments: XHG HYZ. Analyzed the data: XHG YW. Contributed reagents/materials/analysis tools: GYZ YW. Wrote the paper: XHG.

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