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Associations of GSTM1*0 and GSTA1*Agenotypes with the risk of cardiovascular death among hemodialyses patients

BMC Nephrology volume 15, Article number: 12 (2014) Cite this article

Abstract

Background

The presence of glutathione transferase (GST) M1 null genotype (GSTM1-null) in end-stage renal disease (ESRD) patients is associated with lower overall survival rate in comparison to those with GSTM1-active variants. We examined association between GSTM1 and GSTT1 deletion polymorphisms as well as SNPs in GSTA1/rs3957357 and GSTP1/rs1695 genes with overall and cause-specific cardiovascular mortality in ESRD patients.

Methods

Total of 199 patients undergoing hemodialysis were included in the study. Median value of time elapsed from dialysis initiation until the death, or the end of follow-up was 8 ± 5 years. The effect of GSTM1, GSTT1, GSTP1 and GSTA1 gene polymorphisms on predicting overall and specific cardiovascular outcomes (myocardial infarction, MI or stroke) was analyzed using Cox regression model, and differences in survival were determined by Kaplan-Meier.

Results

GSTM1-null genotype in ESRD patients was found to be independent predictor of overall and cardiovascular mortality. However, after false discovery rate and Bonferroni corrections this effect was lost. The borderline effect modification by wild-type GSTA1*A/*A genotype on associations between GSTM1-null and analyzed outcomes was found only for death from stroke. Homozygous carriers of combined GSTM1*0/GSTA1*A genotype exhibited significantly shorter time to death of stroke or MI in comparison with carriers of either GSTM1-active or at least one GSTA1*B gene variant. The best survival rate regarding cardiovascular outcome was found for ESRD patients with combined GSTM1-active and mutant GSTA1*B/*B genotype.

Conclusions

Combined GSTM1*0/GSTA1*A genotypes might be considered as genetic markers for cardiovascular death risk in ESRD patients, which may permit targeting of preventive and early intervention.

Peer Review reports

Background

Oxidative stress in end stage renal disease (ESRD) patients is considered to be the cornerstone of atherosclerotic process. Carotid artery intima-media thickness in chronic hemodialysis patients correlates with lipid peroxidation byproducts [1], while serum malondialdehyde (MDA) is a strong predictor of prevalent cardiovascular disease in these patients [2]. Very recently it has been shown that susceptibility to oxidative stress in ESRD is influenced by the genetic polymorphism in antioxidant and detoxifying enzymes glutathione transferases (GST). The family of cytosolic GSTs comprises different classes including the Alpha (GSTA), Mu (GSTM), Pi (GSTP) and Theta (GSTT) class. Approximately half of the general population lacks GSTM1 enzyme activity, due to a homozygous deletion of the GSTM1 gene [3]. In the case of GSTT1, gene homozygous deletion, present in about 20% of Caucasians, leads to the lack of GSTT1 enzyme activity [4]. Single-nucleotide polymorphism (SNP), resulting in amino acid substitution from isoleucine (Ile) to valine (Val) [5], changes catalytic activity of the GSTP1 enzyme [6]. GSTA1 polymorphism is represented by three, apparently linked, SNPs which result in differential expression with lower transcriptional activation of the variant GSTA1*B (-567G, -69T, -52A) than common GSTA1*A allele (-567T, -69C,-52G) [7]. According to the presence of various GST gene variants in combination, ESRD patients may be stratified in level of oxidative, carbonyl and nitrosative stress.

Since oxidative stress parameters correlate with cardiovascular complications and mortality [8–11], interaction between the uremic state and particular GST genotype would represent a potential mechanism explaining the inter-individual differences in terms of cardiovascular outcome in these patients. In the non-ESRD population, individuals with GSTM1 and/or GSTT1-null genotypes seem to be at higher risk of CVD [12, 13]. The observed link between GST polymorphism and CVD was further strengthened in smokers lacking GSTM1 or GSTT1 genes [14, 15]. The GSTT1-null genotype and combined GSTT1*0/GSTM1*0 might be potential determinants of susceptibility to advanced atherosclerosis in patients with type 2 diabetes mellitus [16]. In ESRD patients, only polymorphic expression of GSTM1 was studied with respect to prognostic significance. Although the presence of GSTM1-null genotype in ESRD patients was associated with lower overall survival compared to those with GSTM1-active gene variants, specific association of this and other common GST polymorphisms, with cause-specific cardiovascular mortality still has to be addressed. This study examined the association between the deletion polymorphisms in GSTM1 and GSTT1 as well as SNPs in GSTA1 (rs3957357) and GSTP1 (rs1695) genes with overall and cardiovascular mortality as well as the death from myocardial infarction (MI) and stroke (CVI) in 199 dialysis patients.

Methods

Study subjects

A total of 199 patients (84 male and 115 female, mean age 60.0 ± 12.1 years) undergoing hemodialysis three times a week were included in the study. All patients were stable, aged over 21 and with HD vintage > 3 months before the study.

End stage renal failure was due to a hypertensive nephrosclerosis (93), glomerulonephritis (32), diabetic nephropathy (25), polycystic renal disease (19), pyelonephritis (19), Balkan endemic nephropathy (7) and obstructive nephropathy in 4 patients. Patients were treated with single-use dialyzers equipped with low flux and high flux polysulphone membranes (surface area of 1.3-2.1.m2). Study protocol was approved by the Belgrade University Faculty of Medicine Ethic Committee and the research was carried out in compliance with the Helsinki Declaration. All the participants provided written informed consent.

During 36 months cardiovascular mortality and all-cause mortality were prospectively registered. Beginning of the study is defined as time when patient started chronic hemodialysis therapy. Information regarding death and causes of death were obtained from hospital records and other relevant documents. Causes of death were classified as cardiovascular death if myocardial infarction and/or stroke occurred. Myocardial infarction was diagnosed by cardiologist on the basis of clinical presentation, ECG parameters and dynamic of enzyme activities. Stroke was diagnosed by neurologist according to clinical presentation and CT scan.

GST Genotyping

Genomic DNA was isolated from whole blood using the QIAGEN QIAmp kit (Qiagen, Inc., Chatsworth, CA).

GSTA1 C-69T polymorphism was determined by polymerase chain reaction–restriction fragment length polymorphism (PCR-RFLP) [17]. Used primers were GSTA1 C-69T forward: 5′-TGTTGATTGTTTGCCTGAAATT-3′ and GSTA1 C-69T reverse, 5′-GTTAAACGCTGTCACCCGTCCT-3′. Presence of restriction site resulting in two fragments (481bp and 385bp) indicated mutant allele (GSTA1*B/B) and if GSTA1*A/B polymorphism incurred it resulted in one more fragment of 96bp.

GSTM1 genotyping was performed by multiplex PCR [17]. Used primers were GSTM1 forward: 5′-GAACTCCCTGAAAAGCTAAAGC-3′ and GSTM1 reverse: 5′-GTTGGGCTCAAATATACGGTGG-3′. Exon 7 of CYP1A1 gene was co-amplified and used as an internal control using following primers: CYP1A1 forward: 5′-GAACTGCCACTTCAGCTGTCT-3′ and CYP1A1 reverse: 5′-CAGCTGCATTTGGAAGTGCTC-3′. The presence of GSTM1-active genotype was detected by the band at 215bp, since the assay does not distinguish heterozygous or homozygous wild type genotypes.

GSTP1 Ile105Val polymorphism was analyzed using PCR-RFLP method [17]. Used primers were: GSTP1 Ile105Val forward: 5′-ACCCCAGGGCTCTATGGGAA-3′ and GSTP1 Ile105Val reverse: 5′-TGAGGGCACAAGAAGCCCCT-3′. Presence of restriction site resulting in two fragments (91bp and 85bp) indicated mutant allele (Val/Val) while if Ile/Val polymorphism incurred it resulted in one more fragment of 176bp.

GSTT1 genotyping was performed by multiplex PCR [17]. Used primers were GSTT1-forward: 5′-TTCCTTACTGGTCCTCACATCTC-3′ and GSTT1-reverse: 5′-TCACGGGATCATGGCCAGCA-3′. The assay does not distinguish between heterozygous or homozygous wild type genotypes, therefore the presence of 480bp bands was indicative for GSTT1-active genotype.

Statistical analysis

Survival analysis was performed separately in the total cohort and according to the cardiovascular cause of death. The Kaplan-Meier method was used to estimate the cumulative survival probability. We defined the initiation of dialysis as a zero time and the death as the end-point. The long-rank test was performed for the assessment of differences in survival according to the different categories of variables.

The predictive value of different GST genotypes in overall and cardiovascular mortality was assessed by Cox proportional hazards regression models, adjusted by confounding factors in three models. The numbers of patients included in regression models were the same for the all tested GST polymorphisms. For overall mortality, the number of patients included in Model 1, 2 and 3 were 186, 183 and 169, respectively; for cardiovascular mortality 180, 177 and 166 patients, respectively; for myocardial infarction 189, 186 and 169 patients and for cardiovascular insult 190, 187 and 169 patients, respectively. In Model 1 we adjusted for age and gender. Model 2 included the covariates in Model 1 plus an additional adjustment for the current smoking status. Model 3 included all covariates from Models 1 and 2, plus an additional adjustment for diabetes and cholesterol status. The associations are presented as hazard ratios (HR) with their corresponding 95% confidence intervals (95% CI). To control for multiple comparisons we used multtest package in R. We reported corrected p values obtained by methods that control family-wise error rate [18] and false discovery rate [19, 20].

Results

Table 1 describes the baseline characteristics of the 199 dialysis patients in this study. Time elapsed from dialysis initiation until the death, or the end of follow up, ranged from one to 27 years, with a median value of 8 ± 5 years. There were 55 deaths during the follow-up. The causes of death among our study cohort included cardiovascular diseases (n = 36), infection and sepsis (n = 10), neoplasm (n = 4), gastrointestinal bleeding (n = 2), chronic obstructive lung disease (n = 1), and cachexia (n = 2). Both myocardial infarction and stroke were causes of death in 6 patients. The cause of death was unknown in 2 patients. Although the genotype distribution has been already presented in our previous report [17], herein we place the genotype distribution among ESRD patients in order to better describe of our cohort.

Table 1 Baseline characteristics of patients with ESRD
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Table 2 summarizes the associations between GSTM1 polymorphism and overall, cardiovascular mortality as well as the death of myocardial infarction and stroke. Multivariable Cox regression analysis was used to determine the independent effect of GST gene polymorphisms on predicting these outcomes and included five other variables (age, gender, current smoking status, presence of diabetes, and cholesterol level) in three models (Table 2). The presence of the GSTM1-null genotype was an independent predictor of a higher risk for overall and cardiovascular mortality among MHD patients. This genotype had a significant multivariable adjusted (Model 3) HR of 2.08 (CI:1.10-3.92; p = 0.024) and 2.19 (CI:1.00-4.79; p = 0.050) for both overall and cardiovascular mortality, respectively. Moreover, GSTM1-null genotype was a strong independent predictor of CVI death with multivariable adjusted (Model 3) HR of 3.80 (CI:1.03-14.02; p = 0.045). However, after multiple testing (Additional file 1: Table S3) none of models remained significant. A Kaplan-Meier survival analysis demonstrated shorter overall (Log Rank: p = 0.059) and cardiovascular survival (Log Rank: p = 0.043) as well as shorter time to death of MI (Log Rank: p = 0.235) or stroke (Log Rank: p = 0.038) after the initiation of dialysis in patients who were homozygous for GSTM1-null alleles in comparison with carriers of at least one active GSTM1 allele (Figure 1).

Table 2 GSTM1 polymorphism as a predictor for overall and cardiovascular mortality as well as death of myocardial infarction and cerebral vascular insult among 199 ESRD patients after a median follow-up time of 8 yrs by Cox proportional hazards regression models
Full size table
Figure 1
figure 1

Kaplan Meier Survival Curves for overall and cardiovascular mortality as well as death of myocardial infarction (MI) and stroke according to GSTM1 polymorphism.

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Table 3 summarizes the association between GSTA1 polymorphism with overall and cardiovascular mortality as well as the death of myocardial infarction and stroke. Multivariable adjusted (age, gender, current smoking status, presence of diabetes, and cholesterol level, Model 3) Cox regression analysis has shown the lack of association between GSTA1 polymorphism and overall mortality (HR = 1.15; 95% CI:0.64-2.07; p = 0.650). However, patients homozygous for GSTA1*A allele demonstrated a non-statistically significant HRs of 1.73, 1.87 and 2.52 for cardiovascular mortality, MI and stroke, respectively. A Kaplan-Meier survival analysis demonstrated shorter, but non-significant overall (Log Rank: p = 0.429) and cardiovascular survival (Log Rank: p = 0.303) as well as shorter time to death of MI (Log Rank: p = 0.209) or stroke (Log Rank: p = 0.291) after the initiation of dialysis in patients who were homozygous for GSTA1*A alleles compared to carriers of at least one GSTA1*B allele (Figure 2).

Table 3 GSTA1 polymorphism (rs3957357) as a predictor for overall and cardiovascular mortality as well as death of myocardial infarction and cerebral vascular insult among 199 ESRD patients after a median follow-up time of 8 yrs by Cox proportional hazards regression models
Full size table
Figure 2
figure 2

Kaplan Meier Survival Curves for overall and cardiovascular mortality as well as death of myocardial infarction (MI) and stroke according to GSTA1 polymorphism.

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There were no robust statistical associations between GSTP1 and GSTT1 gene variants with overall, cardiovascular mortality as well as the death of myocardial infarction and stroke in dialysis patients according to Cox regression analysis (Additional file 2: Table S1 and Additional file 3: Table S2).

Interactive effects between GSTM1*0/0 and the GSTA1*A/A genotypes on the risk of various outcomes in ESRD patients are presented in Table 4. Regarding the risk for overall or cardiovascular mortality Cox regression analysis did not show interactive effects between GSTM1 and GSTA1 polymorphisms. However, patients with combined GSTM1-null and GSTA1*A/*A genotype exhibited a higher, although, non-significant multivariable adjusted (Model 3) HR of 2.27 (95% CI:0.81-6.38, P = 0.121) for MI, compared to individual polymorphisms (Table 4). Moreover, statistically significant interactive effect existed between GSTM1-null and the GSTA1*A/*A genotype for death of stroke. Specifically, dialysis patients who were homozygous for both GSTM1*0 and GSTA1*A alleles exhibited a HR of 4.38 (95%CI:1.50-12.75, P = 0.007) for stroke in comparison with carriers of at least one GSTM1-active and/or GSTA1*B allele. However after multiple testing (Additional file 1: Tables S3A and S3B and Additional file 4: Table S4) none of models remained significant. Additionally, in controlling for multiple testing, we excluded tests for GSTM1 and GSTA1 genes as they are marginal to GSTM1/GSTA1 interaction. A Kaplan-Meier survival analysis showed a significant association of combined GSTM1 and GSTA1 polymorphisms on ESRD patients survival (Figure 3). Namely, this analysis demonstrated a significantly shorter overall (Log Rank: p = 0.018) and cardiovascular survival (Log Rank: p = 0.052) as well as shorter time to death of MI (Log Rank: p = 0.159) or stroke (Log Rank: p = 0.027) after the initiation of dialysis in patients with combinedGSTM1*0/0 and GSTA1*A/A genotype in comparison with carriers of at least one GSTM1-active or GSTA1*B allele (Figure 3). Patients with combined GSTM1-active and GSTA1*B/B genotype had the best survival rate (Figure 3).

Table 4 Combined effect of GSTM1/GSTA1 polymorphisms as predictors for overall and cardiovascular mortality as well as death of myocardial infarction and cerebral vascular insult among 199 ESRD patients after a median follow-up time of 8 yrs by Cox proportional hazards regression models
Full size table
Figure 3
figure 3

Kaplan Meier Survival Curves for overall and cardiovascular mortality as well as death of myocardial infarction (MI) and stroke according to combined effect of GSTM1/GSTA1 polymorphisms.

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Discussion

The data obtained in this study have shown that GSTM1-null genotype in ESRD patients is a significant independent predictor of overall and cardiovascular mortality. Besides, homozygous carriers of wild type GSTA1*A allele exhibited an increased risk of cardiovascular death, specifically MI and stroke, although the observed HR did not reach statistical significance in various models tested. The significant effect modification by GSTA1*A/A genotype on associations between GSTM1-null and analyzed outcomes was found only for the death from stroke. Homozygous carriers of combined GSTM1*0/GSTA1*A genotype exhibited significantly shorter time to MI or stroke in comparison to ESRD patients carriers of either GSTM1-active or GSTA1*B gene variant. The best survival rate in terms of cardiovascular outcome was found for ESRD patients with combined GSTM1-active and mutant GSTA1*B/B genotype.

Several lines of evidence indicate an association between the GSTM1*0/0 genotype and faster progression of kidney disease as well as worse outcome of dialysis patients. Very recently Chang et al. [21] have shown that GSTM1-null allele influences the course of kidney disease progression in participants of the African American Study of Kidney Disease (AASK) trial. Patient groups with and without the common GSTM1-null allele, differed significantly in the time to a glomerular filtration rate event or dialysis, or death. Similarly, Lin et al. [8] showed that dialysis patients with the GSTM1*0/0 genotype exhibit higher mortality rate when compared to those with the active enzyme. Our results confirmed these findings regarding the deleterious effect of GSTM1*0/0 genotype on overall mortality in ESRD patients. Furthermore, by the cause-specific analysis of the association between GSTM1 and cardiovascular causes of death, such as MI and stroke, we provided a direct proof of the role of GSTM1 protein in prevention of oxidative stress related cardiovascular complications. Namely, patients lacking GSTM1 protein (GSTM1*0/0 genotype) demonstrated a significantly higher risk of cardiovascular death. When ESRD patients were further stratified according to the specific cause of death (MI or stroke), Kaplan Meier analysis demonstrated a significantly shorter time to death from both cardiovascular causes in patients with GSTM1*0/0 genotype in comparison to those with the active enzyme. The independent significant association between GSTM1*0/0 genotype remained only for the death from stroke as shown by Cox regression analysis. To our knowledge this is the first report showing a significant association between GSTM1-null genotype and the death from stroke in ESRD patients. These results are biologically plausible given the role of GSTM1 in antioxidant protection and the progression of carotid atherosclerosis in pro-oxidant environment. Oxidized lipids are GST substrates while GSTM1 directly regulates intracellular levels of lipid peroxidation by product 4-hydroxynonenal (4-HNE) in vascular smooth muscle cells [18]. A prospective study in Netherlands confirmed an increased progression of atherosclerosis among smokers lacking the enzyme GSTM1 [22]. Specifically, de Waart et al. demonstrated that the male smokers with the GSTM1 genotype had a higher mean 2-yr progression of the common carotid artery intima-media thickness compared to those with GSTM1[22]. Although in this study we did not address the progression of carotid atherosclerosis in relation to GSTM1 genotype, it may be speculated that the deleterious effect of GSTM1-null genotype might be even more pronounced in ESRD patients than in smokers, because of their higher exposure to dialysis-related oxidant stress. Having in mind that in chronic kidney disease the GSTM1 is normally up-regulated in a protective response to increased oxidative stress, as well as that the GSTM1 could be a surrogate for unmeasured oxidative stress markers [17, 23], it seems reasonable to assume that this genetic variant may be deleterious in terms of carotid atherosclerosis and consequent stroke in ESRD patients.

The question arises about the association between GSTM1-null genotype and death from myocardial infarction being weaker than that observed for stroke. A recent meta-analysis suggested that the GSTM1*0/0 genotype associated with an increased risk of ischemic heart disease (OR, 1.38; 95% CI, 1.01 to 1.87) [24, 25]. Although the presence of double deletion genotypes of the GSTM1 gene is associated with hypertriglyceridemia and low HDL-cholesterol levels in healthy humans [26], it has not been shown directly that the null alleles actually change cardiac or coronary vascular GST activity. Assuming a change in activity, we cannot exclude a compensatory increase in expression of other GSTs in myocardium of M1-null genotypes in condition of dialysis related oxidative stress. Unlike humans, mice and rats do not possess the GST-null genotypes. However, genetic variation in expression of Gstm1 in mice has been associated with differences in vascular smooth muscle cell proliferation, reactive oxygen species production, and cell migration in one study [27]. Updated meta-analyses of risk of IHD as a function of GSTM1*0/0 and GSTT1*0/0 genotypes in all studies combined, did not show an association of GST*0/0 genotype with the risk of ischemic heart disease, with the exception of GSTM1[28]. These results are in line with the lack of association of double deletion in GSTT1 genotype and cardiovascular death risk in our cohort of ESRD patients.

Interestingly, in this study we found effect modification for the association between GSTM1*0/0 genotype and cardiovascular mortality by GSTA1*A/A genotype, which is associated with higher transcriptional activity and consequent higher levels of GSTA1 enzyme. This result was unexpected since in several non-malignant diseases GSTA1*B allele with lower transcriptional activity was associated with increased risk. Thus in Japanese, GSTA1*B allele is a potential risk factor for smoking-related type 2 diabetes and hypertension [29]. The interpretation of our results on effect modification by GSTA1*A/A genotype in GSTM1*0/0 individuals regarding the death from MI and stroke should be in the light of the fact that ESRD patients exhibit powerful oxidant stress, and therefore a strong Nrf mediated induction of GST expression [30]. GSTA1 protein belongs to the most promiscuous GSTs that acts upon a broad range of substrates which bind to its active site [31–33]. However, conjugation with GSH by means of GST enzymes sometimes results in the formation of more reactive compounds [34–36]. It may be speculated that some of the accumulated uremic toxins is converted into more reactive intermediates by GSTA1 protein. Although such an assumption still has to be documented, ESRD is not the only a disease in which GSTA1*A allele confers an increased risk. Namely, homozygous wild-type GSTA1 genotype is associated with an increased risk of gastric cancer in Vietnamese patients [37].

Taken together, our data suggest that GSTM1*0/0 genotype and GSTM1*0/GSTA1*A genotype are the risk factors for cardiovascular death in ESRD patients, although after multiple testing our models missed statistical significance. These genetic markers may permit the targeting of preventive and early intervention on high-risk patients to reduce their cardiovascular risk. Specifically, studies are needed to reliably assess the effects of antioxidant therapy in people with GSTM1*0/0 genotype. In accordance with our previous findings these data suggest that the patients with GSTM1*0/0 genotype represent potential candidates for antioxidant therapy with the aim of stroke prevention. Although the antioxidant therapy does not reduce the risk of cardiovascular and all-cause death or major cardiovascular events in people with chronic kidney disease, according to the latest systematic review and metaanalysis [38, 39] it is possible that some patients with particular genetic milieu may have a benefit from such therapy.

Certain limitations could be considered in our study. Relatively small numbers of both study participants and GST polymorphisms studied might be sources of potential biases which may influence the study findings. Formal power calculation revealed a 1-beta = 0.68. However, we tested effects of four GST polymorphisms on different treatment outcomes in 199 ESRD patients and therefore significantly decreased a chance for publication bias. Namely, positive results of genetic studies analyzing a small number of polymorphisms (n = 1-3) should be evaluated cautiously and considered at a lower level of evidence [40]. Another important point in our study is the low number of events (55 deaths, 36 of which due to cardiovascular causes) which may influence definitive conclusions about relationships between the polymorphisms and some relevant clinical outcomes. Additionally, after multiple testing none of models remained significant. Besides that, survival bias could be present due to the fact that an increased hazard for cardiovascular events in the chronic kidney disease patients may contribute to the death of these persons prior to reaching dialysis and consequently to the under-representation of the polymorphism effects in our cohort. Therefore the results of our study require validation in other dialysis cohorts.

Conclusion

In conclusion, combined GSTM1*0/GSTA1*A genotypes might be considered as genetic markers for cardiovascular death risk in ESRD patients, which may permit targeting of preventive and early intervention. Based on our results, it can be assumed that patients with particular genetic milieu might have a benefit from antioxidant therapy.

References

  1. Dursun B, Dursun E, Suleymanlar G, Ozben B, Capraz I, Apaydin A, Ozben T: Carotid artery intima-media thickness correlates with oxidative stress in chronic haemodialysis patients with accelerated atherosclerosis. Nephrol Dial Transplant. 2008, 23: 1697-1703. 10.1093/ndt/gfm906.

    Article  PubMed  Google Scholar 

  2. Boaz M, Matas Z, Biro A, Katzir Z, Green M, Fainaru M, Smetana S: Serum malondialdehyde and prevalent cardiovascular disease in hemodialysis. Kidney Int. 1999, 56: 1078-1083. 10.1046/j.1523-1755.1999.00613.x.

    Article  CAS  PubMed  Google Scholar 

  3. Board P, Coggan M, Johnston P, Ross V, Suzuki T, Webb G: Genetic heterogeneity of the human glutathione transferases: A complex of gene families. Pharmacol Ther. 1990, 48: 357-369. 10.1016/0163-7258(90)90054-6.

    Article  CAS  PubMed  Google Scholar 

  4. Wiencke JK, Pemble S, Ketterer B, Kelsey KT: Gene deletion of glutathione s-transferase theta: correlation with induced genetic damage and potential role in endogenous mutagenesis. Cancer Epidemiol Biomarkers Prev. 1995, 4: 253-259.

    CAS  PubMed  Google Scholar 

  5. Kellen E, Hemelt M, Broberg K, Golka K, Kristensen VN, Hung RJ, Matullo G, Mittal RD, Porru S, Povey A, Schulz WA, Shen J, Buntinx F, Zeegers MP, Taioli E: Pooled analysis and metaanalysis of the glutathione S-transferase P1 ile105val polymorphism and bladder cancer: a HuGe-GSEC review. Am J Epidemiol. 2007, 165: 1221-1230. 10.1093/aje/kwm003.

    Article  PubMed  Google Scholar 

  6. Dusinská M, Ficek A, Horská A, Raslová K, Petrovská H, Vallová B, Drlicková M, Wood SG, Stupáková A, Gasparovic J, Bobek P, Nagyová A, Kováciková Z, Blazícek P, Liegebel U, Collins AR: Glutathione S-transferase polymorphisms influence the level of oxidative DNA damage and antioxidant protection in humans. Mutat Res. 2001, 482: 47-55. 10.1016/S0027-5107(01)00209-3.

    Article  PubMed  Google Scholar 

  7. Coles FB, Kadlubar FF: Human alpha class glutathione S-transferases: genetic polymorphism, expression, and susceptibility to disease. Methods Enzymol. 2005, 401: 9-42.

    Article  CAS  PubMed  Google Scholar 

  8. Lin YS, Hung SC, Wei YH, Tarng DC: GST M1 polymorphism associates with DNA oxidative damage and mortality among hemodialysis patients. J Am Soc Nephrol. 2009, 20: 405-415. 10.1681/ASN.2008020227.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Descamps-Latscha B, Witko-Sarsat V, Nguyen-Khoa T, Nguyen AT, Gausson V, Mothu N, London GM, Jungers P: Advanced oxidation protein products as risk factors for atherosclerotic cardiovascular events in nondiabeticpredialysis patients. Am J Kidney Dis. 2005, 45: 39-47. 10.1053/j.ajkd.2004.09.011.

    Article  CAS  PubMed  Google Scholar 

  10. Kalantar-Zadeh K, Brennan ML, Hazen SL: Serum myeloperoxidase and mortality in maintenance hemodialysis patients. Am J Kidney Dis. 2006, 48: 59-68. 10.1053/j.ajkd.2006.03.047.

    Article  CAS  PubMed  Google Scholar 

  11. Cruz DN, De Cal M, Garzotto F, Brendolan A, Nalesso D, Corradi V, Ronco C: Effect of vitamin E-coated dialysis membranes on anemia in patients with chronic kidney disease: an Italian multicenter study. Int J Artif Organs. 2008, 31: 545-552.

    CAS  PubMed  Google Scholar 

  12. Nomani H, Mozafari H, Ghobadloo SM, Rahimi Z, Raygani AV, Rahimi MA, Haghi AF, Keshavarz AA: The association between GSTT1, M1, and P1 polymorphisms with coronary artery disease in Western Iran. Mol Cell Biochem. 2011, 354: 181-187. 10.1007/s11010-011-0817-2.

    Article  CAS  PubMed  Google Scholar 

  13. Ramprasath T, SenthilMurugan P, Prabakaran AD, Gomathi P, Rathinavel A, Selvam GS: Potential risk modifications of GSTT1, GSTM1 and GSTP1 (glutathione-S-transferases) variants and their association to CAD in patients with type-2 diabetes. Biochem Biophys Res Commun. 2011, 407: 49-53. 10.1016/j.bbrc.2011.02.097.

    Article  CAS  PubMed  Google Scholar 

  14. Wang LS, Tang JJ, Tang NP, Wang MW, Yan JJ, Wang QM, Yang ZJ, Wang B: Association of GSTM1 and GSTT1 gene polymorphisms with coronary artery disease in relation to tobacco smoking. ClinChem Lab Med. 2008, 46: 1720-1725.

    CAS  Google Scholar 

  15. Masetti S, Botto N, Manfredi S, Colombo MG, Riza A, Vassalle C: Interactive effect of the glutathione-S-transferase genes and cigarette smoking on occurrence and severity of coronary artery risk. J Mol Med. 2003, 81: 488-494. 10.1007/s00109-003-0448-5.

    Article  CAS  PubMed  Google Scholar 

  16. Taspinar M, Aydos S, Sakiragaoglu O, Duzen IV, Yalcinkaya A, Oztuna D, Bardakci H, Tutar E, Sunguroglu A: Impact of genetic variations of the CYP1A1, GSTT1, and GSTM1 genes on the risk of coronary artery disease. DNA Cell Biol. 2012, 31: 211-218. 10.1089/dna.2011.1252.

    Article  CAS  PubMed  Google Scholar 

  17. Suvakov S, Damjanovic T, Stefanovic A, Pekmezovic T, Savic-Radojevic A, Pljesa-Ercegovac M, Matic M, Djukic T, Coric V, Jakovljevic J, Ivanisevic J, Pljesa S, Jelic-Ivanovic Z, Mimic-Oka J, Dimkovic N, Simic T: Glutathione S-transferase A1, M1, P1 and T1 null or low-activity genotypes are associated with enhanced oxidative damage among haemodialysis patients. Nephrol Dial Transplant. 2013, 28: 202-212. 10.1093/ndt/gfs369.

    Article  CAS  PubMed  Google Scholar 

  18. Hochberg Y: A sharper bonferroni procedure for multiple tests of significance. Biometrika. 1988, 75: 800-802. 10.1093/biomet/75.4.800.

    Article  Google Scholar 

  19. Benjamini Y, Hochberg Y: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Statist. Soc. B. 1995, 57: 289-300.

    Google Scholar 

  20. Benjamini Y, Krieger AM, Yekutieli D: Adaptive linear step-up procedures that control the false discovery rate. Biometrika. 2006, 93: 491-507. 10.1093/biomet/93.3.491.

    Article  Google Scholar 

  21. Chang J, Ma JZ, Zeng Q, Cechova S, Gantz A, Nievergelt C, O’Connor DT, Lipkowitz MS, Le TH: Loss of GSTM1, a NRF2 Target, Is Associated with Accelerated Progression of Hypertensive Kidney Disease in the African American Study of Kidney Disease (AASK). Am J Physiol Renal Physiol. 2012, Epub ahead of print

    Google Scholar 

  22. de Waart FG, Kok FJ, Smilde TJ, Hijmans A, Wollersheim H, Stalenhoef AF: Effect ofglutathione S-transferase M1 genotype on progression of atherosclerosis in lifelong male smokers. Atherosclerosis. 2001, 158: 227-231. 10.1016/S0021-9150(01)00420-8.

    Article  CAS  PubMed  Google Scholar 

  23. Danielski M, Ikizler TA, McMonagle E, Kane JC, Pupim L, Morrow J, Himmelfarb J: Linkage of hypoalbuminemia, inflammation, and oxidative stress in patients receiving maintenance hemodialysis therapy. Am J Kidney Dis. 2003, 42: 286-294. 10.1016/S0272-6386(03)00653-X.

    Article  CAS  PubMed  Google Scholar 

  24. Wang J, Zou L, Huang S, Lu F, Lang X, Han L, Song Z, Xu Z: Genetic polymorphisms of glutathione S-transferase genes GSTM1, GSTT1 and risk of coronary heart disease. Mutagenesis. 2010, 25: 365-369. 10.1093/mutage/geq014.

    Article  CAS  PubMed  Google Scholar 

  25. Wang J, Zou L, Huang S, Lu F, Lang X, Han L, Song Z, Xu Z: Genetic polymorphisms of glutathione S-transferase genes GSTM1, GSTT1 and risk of coronary heart disease [erratum]. Mutagenesis. 2011, 26: 357-

    Article  CAS  Google Scholar 

  26. Maciel SS, Pereira Ada C, Silva GJ, Rodrigues MV, Mill JG, Krieger JE: Association between glutathione S-transferase polymorphisms and triglycerides and HDL-cholesterol. Atherosclerosis. 2009, 206: 204-208. 10.1016/j.atherosclerosis.2009.02.011.

    Article  CAS  PubMed  Google Scholar 

  27. Yang Y, Parsons KK, Chi L, Malakauskas SM, Le TH: Glutathione S-transferase-micro1 regulates vascular smooth muscle cell proliferation, migration, and oxidative stress. Hypertension. 2009, 54: 1360-1368. 10.1161/HYPERTENSIONAHA.109.139428.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Nørskov MS, Frikke-Schmidt R, Loft S, Sillesen H, Grande P, Nordestgaard BG, Tybjaerg-Hansen A: Copy number variation in glutathione S-transferases M1 and T1 and ischemic vascular disease: four studies and meta-analyses. Circ Cardiovasc Genet. 2011, 4: 418-428. 10.1161/CIRCGENETICS.111.959809.

    Article  PubMed  Google Scholar 

  29. Oniki K, Umemoto Y, Nagata R, Hori M, Mihara S, Marubayashi T, Nakagawa K: Glutathione S-transferase A1 polymorphism as a risk factor for smoking-related type 2 diabetes among Japanese. Toxicol Lett. 2008, 178: 143-145. 10.1016/j.toxlet.2008.03.004.

    Article  CAS  PubMed  Google Scholar 

  30. Noce A, Ferrannini M, Fabrini R, Bocedi A, Dessì M, Galli F, Federici G, Palumbo R, Di Daniele N, Ricci G: Erythrocyte glutathione transferase: a new biomarker for hemodialysis adequacy, overcoming the Kt/V(urea) dogma?. Cell Death Dis. 2012, 3: e377-10.1038/cddis.2012.112.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Gupta MN, Kapoor M, Majumder A, Singh V: Isozymes, moonlighting proteins and promiscuous enzymes. Current Science. 2011, 100: 1152-1162.

    CAS  Google Scholar 

  32. Axarli ΙA, Rigden DJ, Labrou NE: Characterization of the ligandin site of maize glutathione S-transferase I. Biochem J. 2004, 382: 885-893. 10.1042/BJ20040298.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Honaker MT, Acchione M, Sumida JP, Atkins WM: Ensemble perspective for catalytic promiscuity: calorimetric analysis of the active site conformational landscape of a detoxification enzyme. J BiolChem. 2011, 286: 42770-42776.

    CAS  Google Scholar 

  34. Landi S: Mammalian class theta GST and differential susceptibility to carcinogens: a review. Mutat Res. 2000, 463: 247-283. 10.1016/S1383-5742(00)00050-8.

    Article  CAS  PubMed  Google Scholar 

  35. Brüning T, Lammert M, Kempkes M, Thier R, Golka K, Bolt HM: Influence of polymorphisms of GSTM1 and GSTT1 for risk of renal cell cancer in workers with long-term occupational exposure to trichloethene. Arch Toxicol. 1997, 71: 569-599.

    Google Scholar 

  36. Golka K, Seidel T, Dietrich H, Roth G, Rötzel C, Thier R, Geller F, Reckwitz T, Schulze H: Occupational and non-occupational risk factors in bladder cancer patients in an industrialized area located in former East-Germany. Aktuelle Urol. 2005, 36: 417-22. 10.1055/s-2004-830260.

    Article  CAS  PubMed  Google Scholar 

  37. Nguyen TV, Janssen MJ, van Oijen MG, Bergevoet SM, te Morsche RH, van Asten H, Laheij RJ, Peters WH, Jansent JB: Genetic polymorphisms in GSTA1, GSTP1, GSTT1, and GSTM1 and gastric cancer risk in a Vietnamese population. Oncol Res. 2010, 18: 349-355.

    Article  PubMed  Google Scholar 

  38. Jun M, Venkataraman V, Razavian M, Cooper B, Zoungas S, Ninomiya T, Webster AC, Perkovic V: Antioxidants for chronic kidney disease. Cochrane Database Syst Rev. 2012, 10: CD008176-

    PubMed  Google Scholar 

  39. Coombes JS, Fassett RG: Antioxidant therapy in hemodialysis patients: a systematic review. Kidney Int. 2012, 81: 233-246. 10.1038/ki.2011.341.

    Article  CAS  PubMed  Google Scholar 

  40. Valachis A, Mauri D, Neophytou C, Polyzos NP, Tsali L, Garras A, Papanikolau EG: Translational medicine and reliability of single-nucleotide polymorphism studies: can we believe in SNP reports or not?. Int J Med Sci. 2011, 8: 492-500.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

This work was supported by a Grant 175052 from the Serbian Ministry of Education, Science and Technological Development.

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Authors and Affiliations

  1. Institute of Medical and Clinical Biochemistry, Faculty of Medicine, University of Belgrade, Pasterova 2, 11000, Belgrade, Serbia

    Sonja Suvakov, Ana Savic-Radojevic, Marija Pljesa-Ercegovac, Jasmina Mimic-Oka & Tatjana Simic

  2. Clinical Department for Renal Diseases, Zvezdara University Medical Center, Belgrade, Serbia

    Tatjana Damjanovic & Nada Dimkovic

  3. Institute of Epidemiology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia

    Tatjana Pekmezovic

  4. Institute of Medical Physiology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia

    Jovana Jakovljevic

  5. Department of Cardiology, Medical Center “Bezanijska Kosa”, Belgrade, Serbia

    Slavica Radovanovic

  6. Clinic for Cardiovascular Diseases, Clinical Centre of Serbia, Belgrade, Serbia

    Dragan V Simic

  7. Department of Nephrology and Hemodialysis, University Teaching Hospital Zemun, Belgrade, Serbia

    Steva Pljesa

  8. Clinic of Endocrinology, Clinical Center of Serbia, Belgrade, Serbia

    Milos Zarkovic

  9. Faculty of Medicine, University of Belgrade, Belgrade, Serbia

    Sonja Suvakov, Tatjana Pekmezovic, Jovana Jakovljevic, Ana Savic-Radojevic, Marija Pljesa-Ercegovac, Dragan V Simic, Steva Pljesa, Milos Zarkovic, Jasmina Mimic-Oka, Nada Dimkovic & Tatjana Simic

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  1. Sonja Suvakov
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Correspondence to Tatjana Simic.

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Competing interests

The author(s) declare that they have no competing interests, including specific financial interests and relationships and affiliations relevant to the subject of this manuscript.

Authors’ contributions

SS was responsible for patients’ recruitment, conducting laboratory experimental procedures and their interpretation and writing of the manuscript. TS was responsible for the design of the study and manuscript writing. TP and JJ were responsible for statistical analysis and revision of the manuscript. TD, SP and ND were responsible for patients recruitment, clinical diagnosis and participated in scientific discussions and revision of the manuscript. ASR, MPE, JMO, SR and DS have made substantial contributions to analysis and interpretation of data and revision of the manuscript. MZ was responsible for multiple testing analysis. All authors read and approved the final manuscript.

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12882_2013_904_MOESM1_ESM.docx

Additional file 1: Table S3: A. Multiplicity correction and false discovery rate estimation for GSTA1, GSTM1, GSTP1 and GSTT1 polymorphisms as a predictors of different outcomes among 199 ESRD patients. B. Multiplicity correction and false discovery rate estimation for combined GSTA1/GSTM1, GSTP1 and GSTT1 polymorphisms as a predictors of different outcomes among 199 ESRD patients. (DOCX 26 KB)

12882_2013_904_MOESM2_ESM.doc

Additional file 2: Table S1: GSTT1 polymorphism as a predictor for overall and cardiovascular mortality as well as death of myocardial infarction and cerebral vascular insult among 199 ESRD patients after a median follow-up time of 8 yrs by Cox proportional hazards regression models. (DOC 34 KB)

12882_2013_904_MOESM3_ESM.doc

Additional file 3: Table S2: GSTP1 polymorphism as a predictor for overall and cardiovascular mortality as well as death of myocardial infarction and cerebral vascular insult among 199 ESRD patients after a median follow-up time of 8 yrs by Cox proportional hazards regression models. (DOC 34 KB)

12882_2013_904_MOESM4_ESM.docx

Additional file 4: Table S4: Urea and creatinine in ERSD patients according to different GSTA1, GSTM1, GSTP1 and GSTT1 genotypes. (DOCX 14 KB)

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Suvakov, S., Damjanovic, T., Pekmezovic, T. et al. Associations of GSTM1*0 and GSTA1*Agenotypes with the risk of cardiovascular death among hemodialyses patients. BMC Nephrol 15, 12 (2014). https://doi.org/10.1186/1471-2369-15-12

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Keywords

BMC Nephrology

ISSN: 1471-2369

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