Skip to main content

The common G-866A polymorphism of the UCP2 gene and survival in diabetic patients following myocardial infarction



A variant in the promoter of the human uncoupling protein 2 (UCP2) gene, the G-866A polymorphism, has been associated with future risk of coronary heart disease events, in those devoid of traditional risk factors and in those suffering from diabetes. We thus examined the impact of the G-866A polymorphism on 5-year survival in a cohort of 901 post-myocardial infarction patients, and the impact of type-2 diabetes on this relationship. The association of UCP2 with baseline biochemical and hormonal measurements, including levels of the inflammatory marker myeloperoxidase, was also examined.


UCP2 G-866A genotypes were determined using a polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) protocol. Myeloperoxidase levels were measured in plasma samples taken from 419 cohort patients 24–96 hours after admission.


Genotypes were obtained for 901 patients with genotype frequencies AA 15.5%, GA 45.5%, and GG 39.0%. Genotype was not associated with survival in the overall cohort (mortality: AA 15.6%, GA 16.8%, GG 19.4%, p = 0.541). However, amongst diabetics, AA and GA genotype groups had significantly worse survival than GG diabetic patients (p < 0.05) with an attributable risk of 23.3% and 18.7% for those of AA and GA genotype respectively. Multivariate analysis using a Cox proportional hazards model confirmed that the interaction of diabetes with genotype was significantly predictive of survival (p = 0.031). In the cohort's diabetic subgroup AA/GA patients had higher myeloperoxidase levels than their GG counterparts (GA/AA, n = 51, 63.9 ± 5.23; GG, n = 34, 49.1 ± 3.72 ng/ml, p = 0.041). Further analysis showed that this phenomenon was confined to male patients (GA/AA, n = 36, 64.3 ± 6.23; GG, n = 29, 44.9 ± 3.72 ng/ml, p = 0.015).


Diabetic patients in this post-myocardial infarction cohort with UCP2 -866 AA/GA genotype have poorer survival and higher myeloperoxidase levels than their GG counterparts.


Uncoupling protein 2 (UCP2) is expressed ubiquitously and is believed to dissipate the proton motive force across the inner mitochondrial membrane [1, 2]. While UCP1 may play a role in thermogenesis [3], UCP2 may regulate inflammation and apoptosis, and inhibition of the mitochondrial production of reactive oxygen species (ROS) [4]. These functions have important implications for brain and heart disease. experimental inhibition of UCP2 expression increases ROS formation [5, 6], a risk factor for atherosclerosis [7]. UCP2 has recently been shown to mediate some of the actions of ghrelin [8], a circulating hormone elevated during fasting and with known actions on the heart [9].

Polymorphisms in the UCP2 gene have been associated with obesity [1012], hypertension [13], and diabetes [14]. A common variant in the promoter of the human UCP2 gene (G-866A, rs659366)[11] has been associated with differential UCP2 expression [12] and elevated levels of markers of oxidative stress amongst diabetics [15, 16]. The A allele has been associated with enhanced UCP2 expression in adipose tissue in vivo[11]. Indeed, in a prospective study of 2695 men, those with -866AA genotype exhibited a greater prevalence of obesity and hypertension, and a shorter time to first coronary heart disease (CHD) event. This risk was amplified fourfold in diabetic -866AA men [15].

The enzyme myeloperoxidase (MPO, EC is mainly released by activated neutrophils with pro-oxidative and pro-inflammatory properties. Given the role of inflammation in atherogenesis, MPO is a biomarker of coronary artery disease [17]. Meanwhile, infiltrating macrophages and neutrophils play a role in the destabilization of coronary artery plaques and thus in the pathogenesis of acute coronary syndromes including myocardial infarction (MI)[18].

We thus hypothesized that the UCP2 G-866A polymorphism might be associated with survival in a study sample at high risk of future cardiovascular events, and that this relationship might be stronger amongst diabetics. Given the proinflammatory role of UCP2 [4], we also sought association of UCP2 genotype with plasma MPO levels in this group.


Study Population

Patients were admitted to Christchurch Hospital between November 1994 and June 2001 and recruited to the Christchurch Post-Myocardial Infarction (PMI) study using criteria described previously [19]. Briefly, MI was defined by typical ischemic symptoms, ischemic change (including ST-elevation or depression or dynamic T-wave changes, i.e. includes ST-elevation, non-ST-elevation, Q-wave, and non-Q-wave infarcts) in two or more electrocardiogram leads and peak elevation of plasma creatine kinase (CK) to at least twice the upper limit of normal. All patients were troponin-T positive. Inclusion criteria included age <80 years, absence of immediate heart failure or cardiogenic shock, and survival for at least 24 h after the onset of symptoms associated with MI. Patients were followed for 5 years and data on mortality/survival for the full 5 years of follow-up was available for all patients in the cohort. Blood samples and cardiac imaging were obtained 24–96 h after symptom onset. Clinical events were determined from recruitment questionnaires, planned follow-up clinic visits, patient notes, the New Zealand National Health Information Service and hospital Patient Management System databases. Ethnicity was self-declared and was grouped as those of European, Maori, Not Stated and Other (Asian, African and Pacific Islanders) ancestry. The investigation conforms to the principles outlined in the Declaration of Helsinki and was approved by the Canterbury Ethics Committee. All participating patients provided written, informed consent.

Dna Extraction and Genotyping

Genomic DNA was extracted from whole blood as previously described [20]. DNA (100 ng) was amplified for the UCP2 G-866A PCR-RFLP assay, in which 360 bp amplimers were digested for 16 h at 37°C using 2.5 U of Mlu I [11]. The digested, gel-electrophoresed fragments were visualized using a Bio-Rad Fluor-S™ imaging system.

Neurohormone, Analyte and Cardiac Imaging Measurements

Circulating levels of endothelin-1, ANP and B-type natriuretic peptide (BNP) and N-terminal pro-BNP (NTproBNP) were assayed as previously described [19]. creatinine clearance was calculated using the Cockcroft-Gault formula [21]. Levels of creatine kinase (CK) were measured using ELISA kits (Roche Diagnostics, Auckland, NZ). Left ventricular function was assessed by radionuclide ventriculography – within 24–96 hours of onset of MI (within 24 hours of blood sampling) [22]. Myeloperoxidase (EC was measured by sandwich ELISA on plasma diluted 1:10, with a monoclonal antibody (Abcam, Cambridge, United Kingdom) and a rabbit polyclonal antibody produced in-house [23], with a detection range of 0.3 to 25 ng/ml and coefficient of variance of 13.8%.

Statistical Analysis

Univariate analysis, relating UCP2 G-866A genotype status to other variables, was performed using χ2 and ANOVA tests. Skewed data (notably plasma hormones) were log-transformed. Survival was assessed using Kaplan-Meier survival curves and log-rank tests. Due to the small number of UCP2 -866 AA patients for which MPO levels were available data for AA and GA patients was grouped for this analysis. A Cox proportional hazard model was used to investigate independent risk factors for all-cause mortality. The model included established predictors of prognosis (age, gender, NTproBNP and CK levels, admission left ventricular ejection fraction (LVEF), β-blocker treatment, and creatinine clearance) [20, 22, 24, 25]. Statistical significance was deemed to be achieved at the p < 0.05 level. The statistical power of the study was estimated from the cohort's likely genotype split of ~15% (AA) and ~42.5% (GG or GA respectively)[11, 15] with a total n of ~900 and an event (mortality) rate of approximately 3% per annum and complete follow-up to 5 years. Thus there was 80% power to detect >10% difference in mortality between the two homozygote groups, using a two-tailed χ2 test, α = 0.05. All analyses were performed using SPSS version 16.


Baseline Characteristics and UCP2 Genotyping

Of an available cohort of 982, genotypes were obtained for 901 patients with genotype frequencies AA 15.5%, GA 45.5%, and GG 39.0% which did not deviate from the Hardy-Weinberg equilibrium (p = 0.999). The minor allele (A) frequency was 0.38, similar to that reported elsewhere [11, 15]. Baseline characteristics stratified by UCP2 G-866A genotype group are shown in Table 1, and did not differ from those in whom genotyping was not possible. Only patient gender was significantly associated with genotype, with the proportion of males increasing with the number of G alleles. Ethnicity was not significantly associated with differences in genotype frequency (minor allele frequencies: European 0.375, Maori 0.438, Not Stated 0.442, Other 0.371, p = 0.481).

Table 1 Baseline characteristics, drug treatment and neurohormonal data stratified by UCP2 genotype group.

Survival and UCP2 Genotype

A total of 159 deaths were recorded in the study cohort during the 5-year follow-up. UCP2 G-866A genotype was not associated with survival in the overall cohort (mortality: AA 15.6%, GA 16.8%, GG 19.4%, p = 0.541). However when the cohort was stratified according to prior diagnosis of type-2 diabetes, genotype was significantly associated with survival amongst diabetic patients (Figure 1). Diabetic patients of AA or GA genotype had significantly worse survival than GG diabetic patients (p < 0.05), with an attributable risk of 23.3% and 18.7% respectively. Multivariate analysis using a Cox proportional hazards model confirmed that UCP2 G-866A genotype alone was not a significant predictor of survival in the cohort, although there were trends in that direction (Table 2). However the interaction of diabetes with genotype was significantly predictive of survival in a model including age, gender, NTproBNP and CK levels, left ventricular ejection fraction, creatinine clearance, ethnicity, β-blocker treatment, diabetes and genotype (Table 2). Inclusion of additional covariates to the multivariate model did not add significantly to it (e.g. baseline total cholesterol Hazard Ratio = 1.17 [0.96–1.43] p = 0.131; mean arterial pressure HR = 1.01 [0.99–1.04] p = 0.240) and exceeded the recommended number of predictors given the number of events in the analysis.

Figure 1
figure 1

A Kaplan-Meier survival curve indicating differences in survival after MI for UCP2 G-866A genotype groups in A) non-diabetic patients and B) diabetic patients.

Table 2 Cox's proportional hazards regression model for mortality in the PMI cohort.

UCP2 Genotype and Plasma Myeloperoxidase Levels

Plasma MPO levels were available from samples taken from 419 patients in the cohort 24–96 hours after admission. These patients were selected only by the availability of adequate stored plasma for the measurement of MPO and we believe this selection was essentially random. Whilst there was no overall association of UCP2 genotype, diabetic status or gender with MPO levels, there was a significant interaction of gender*diabetic status*UCP2 genotype in a univariate general linear model (p = 0.037). In the diabetic subgroup of the cohort, patients with at least one A allele had significantly higher MPO levels than their GG counterparts (GA/AA, n = 51, 63.9 ± 5.23 ng/ml; GG, n = 34, 49.1 ± 3.72 ng/ml, p = 0.041; Figure 2). This phenomenon was only apparent in male patients (GA/AA, n = 36, 64.3 ± 6.23 ng/ml; GG, n = 29, 44.9 ± 3.72 ng/ml, p = 0.015; Figure 2). There was no significant association between genotype and MPO levels in female diabetic patients (GA/AA, n = 15, 62.9 ± 9.99 ng/ml; GG, n = 5, 73.5 ± 6.17 ng/ml, p = 0.561) or amongst non-diabetic patients (data not shown). MPO levels did not differ significantly between diabetic and non-diabetic patients (diabetics, n = 85, 58.0 ± 3.27 ng/ml; non-diabetics, n = 334, 63.7 ± 2.21 ng/ml, p = 0.223).

Figure 2
figure 2

Plasma myeloperoxidase levels 24–96 hours after index patient admission stratified by UCP2 G-866A genotype and diabetic status a) Male and Female patients, b) Male patients. N = non-diabetic, Y = diabetic. Stars and circles indicate outlying data.


The major finding of this study is that the interaction between type-2 diabetes and UCP2 G-866A genotype was significantly associated with survival in a cohort of post-MI patients. The UCP2-866A allele carriers had significantly worse survival during 5 years of follow-up post-MI than GG patients if they were diabetic. These data extend previous observations amongst otherwise healthy men in whom the UCP2 G-866A genotype was associated with future risk of CHD events, both in those individuals devoid of traditional risk factors for cardiovascular disease and amongst the small proportion of diabetic patients [15]. In contrast a study of 3122 type-2 diabetic patients reported association of the UCP2 -866 A allele with decreased risk of incident coronary artery disease, including sudden cardiac death [26]. The disease-free survival profile in this report closely resembles the survival curve for non-diabetic patients in our study (Figure 1A). This inconsistency may have several explanations: study endpoints differed (survival versus disease-free survival) and differing age and ethnic profiles.

Diabetes is associated with increased oxidative stress [27] and diabetic patients with the UCP2-866AA genotype and CHD have been shown to have lower total antioxidant status and higher levels of plasma F2-isoprostanes [15]. Elevated levels of plasma MPO, has previously been shown to be a predictor of mortality in the cohort studied in this report [28]. The difference observed in MPO levels between GA/AA and GG diabetic patients was of similar magnitude to that observed between heart healthy control subjects and PMI patients in the previous report [28]. We did not include MPO as a predictor in the multivariate model of survival as missing data would have severely restricted the number of patients in the analysis. While this data was not well powered to detect differences in MPO levels based on UCP2 genotypes groups, we did detect an association of MPO levels and genotype amongst diabetic patients in this study. This was particularly evident in male diabetic patients in the cohort, a finding consistent with previous reports of gender specific differences in oxidative stress [29, 30]. This finding of an association between UCP2 G-866A genotype and plasma MPO levels can be regarded as hypothesis generating and requires validation in other studies.

Although the current study has considerable statistical power, due to the size of the cohort, the length of follow-up, the number of clinical endpoints recorded and the minor allele frequency of the G-866A polymorphism, statistically significant differences may have occurred by chance and weak associations may have been missed. Missing data for some parameters has limited the power of this study to investigate their association with genotype. The study cohort was dominated by ethnic Europeans and the results should not be extrapolated to other populations.


Our data provide support for the idea that modulation of UCP2 expression might be an important novel target for reducing cardiovascular morbidity and mortality, particularly amongst diabetic patients [31]. A growing body of evidence supports the UCP2 G-866A polymorphism as a marker of cardiovascular risk [15, 16, 32]. This study extends this evidence to include UCP2 genotype as a potential marker of prognosis in type-2 diabetes patients following acute MI.



uncoupling protein 2 gene


reactive oxygen species




Post-Myocardial Infarction


B-type natriuretic peptide


N-terminal pro-BNP


creatine kinase


left ventricular ejection fraction


coronary heart disease.


  1. Fleury C, Neverova M, Collins S, Raimbault S, Champigny O, Levi-Meyrueis C, Bouillaud F, Seldin MF, Surwit RS, Ricquier D: Uncoupling protein-2: a novel gene linked to obesity and hyperinsulinemia. Nature genetics. 1997, 15 (3): 269-272. 10.1038/ng0397-269.

    Article  CAS  PubMed  Google Scholar 

  2. Garlid KD, Jaburek M, Jezek P: Mechanism of uncoupling protein action. Biochem Soc Trans. 2001, 29 (Pt 6): 803-806. 10.1042/BST0290803.

    Article  CAS  PubMed  Google Scholar 

  3. Brand MD, Esteves TC: Physiological functions of the mitochondrial uncoupling proteins UCP2 and UCP3. Cell Metab. 2005, 2 (2): 85-93. 10.1016/j.cmet.2005.06.002.

    Article  CAS  PubMed  Google Scholar 

  4. Mattiasson G, Sullivan PG: The emerging functions of UCP2 in health, disease, and therapeutics. Antioxid Redox Signal. 2006, 8 (1–2): 1-38. 10.1089/ars.2006.8.1.

    Article  CAS  PubMed  Google Scholar 

  5. Duval C, Negre-Salvayre A, Dogilo A, Salvayre R, Penicaud L, Casteilla L: Increased reactive oxygen species production with antisense oligonucleotides directed against uncoupling protein 2 in murine endothelial cells. Biochem Cell Biol. 2002, 80 (6): 757-764. 10.1139/o02-158.

    Article  CAS  PubMed  Google Scholar 

  6. Arsenijevic D, Onuma H, Pecqueur C, Raimbault S, Manning BS, Miroux B, Couplan E, Alves-Guerra MC, Goubern M, Surwit R: Disruption of the uncoupling protein-2 gene in mice reveals a role in immunity and reactive oxygen species production. Nature genetics. 2000, 26 (4): 435-439. 10.1038/82565.

    Article  CAS  PubMed  Google Scholar 

  7. Blanc J, Alves-Guerra MC, Esposito B, Rousset S, Gourdy P, Ricquier D, Tedgui A, Miroux B, Mallat Z: Protective role of uncoupling protein 2 in atherosclerosis. Circulation. 2003, 107 (3): 388-390. 10.1161/01.CIR.0000051722.66074.60.

    Article  CAS  PubMed  Google Scholar 

  8. Andrews ZB, Liu Z-W, Walllingford N, Erion DM, Borok E, Friedman JM, Tschop MH, Shanabrough M, Cline G, Shulman GI: UCP2 mediates ghrelin/'s action on NPY/AgRP neurons by lowering free radicals. Nature. 2008, 454 (7206): 846-851. 10.1038/nature07181.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  9. Pemberton CJ, Tokola H, Bagi Z, Koller A, Pontinen J, Ola A, Vuolteenaho O, Szokodi I, Ruskoaho H: Ghrelin induces vasoconstriction in the rat coronary vasculature without altering cardiac peptide secretion. American journal of physiology. 2004, 287 (4): H1522-1529.

    CAS  PubMed  Google Scholar 

  10. Ochoa MC, Santos JL, Azcona C, Moreno-Aliaga MJ, Martinez-Gonzalez MA, Martinez JA, Marti A: Association between obesity and insulin resistance with UCP2-UCP3 gene variants in Spanish children and adolescents. Mol Genet Metab. 2007, 92 (4): 351-8. 10.1016/j.ymgme.2007.07.011.

    Article  CAS  PubMed  Google Scholar 

  11. Esterbauer H, Schneitler C, Oberkofler H, Ebenbichler C, Paulweber B, Sandhofer F, Ladurner G, Hell E, Strosberg AD, Patsch JR: A common polymorphism in the promoter of UCP2 is associated with decreased risk of obesity in middle-aged humans. Nature genetics. 2001, 28 (2): 178-183. 10.1038/88911.

    Article  CAS  PubMed  Google Scholar 

  12. Krempler F, Esterbauer H, Weitgasser R, Ebenbichler C, Patsch JR, Miller K, Xie M, Linnemayr V, Oberkofler H, Patsch W: A functional polymorphism in the promoter of UCP2 enhances obesity risk but reduces type 2 diabetes risk in obese middle-aged humans. Diabetes. 2002, 51 (11): 3331-3335. 10.2337/diabetes.51.11.3331.

    Article  CAS  PubMed  Google Scholar 

  13. Ji Q, Ikegami H, Fujisawa T, Kawabata Y, Ono M, Nishino M, Ohishi M, Katsuya T, Rakugi H, Ogihara T: A common polymorphism of uncoupling protein 2 gene is associated with hypertension. J Hypertens. 2004, 22 (1): 97-102. 10.1097/00004872-200401000-00018.

    Article  CAS  PubMed  Google Scholar 

  14. Sesti G, Cardellini M, Marini MA, Frontoni S, D'Adamo M, Del Guerra S, Lauro D, De Nicolais P, Sbraccia P, Del Prato S: A common polymorphism in the promoter of UCP2 contributes to the variation in insulin secretion in glucose-tolerant subjects. Diabetes. 2003, 52 (5): 1280-1283. 10.2337/diabetes.52.5.1280.

    Article  CAS  PubMed  Google Scholar 

  15. Dhamrait SS, Stephens JW, Cooper JA, Acharya J, Mani AR, Moore K, Miller GJ, Humphries SE, Hurel SJ, Montgomery HE: Cardiovascular risk in healthy men and markers of oxidative stress in diabetic men are associated with common variation in the gene for uncoupling protein 2. Eur Heart J. 2004, 25 (6): 468-475. 10.1016/j.ehj.2004.01.007.

    Article  CAS  PubMed  Google Scholar 

  16. Stephens JW, Dhamrait SS, Mani AR, Acharya J, Moore K, Hurel SJ, Humphries SE: Interaction between the uncoupling protein 2 -866G>A gene variant and cigarette smoking to increase oxidative stress in subjects with diabetes. Nutr Metab Cardiovasc Dis. 2007, 18 (1): 7-14. 10.1016/j.numecd.2007.01.010.

    Article  PubMed  Google Scholar 

  17. Loria V, Dato I, Graziani F, Biasucci LM: Myeloperoxidase: a new biomarker of inflammation in ischemic heart disease and acute coronary syndromes. Mediators of inflammation. 2008, 2008: 135625-10.1155/2008/135625.

    Article  PubMed Central  PubMed  Google Scholar 

  18. Naruko T, Ueda M, Haze K, Wal van der AC, Loos van der CM, Itoh A, Komatsu R, Ikura Y, Ogami M, Shimada Y: Neutrophil infiltration of culprit lesions in acute coronary syndromes. Circulation. 2002, 106 (23): 2894-2900. 10.1161/01.CIR.0000042674.89762.20.

    Article  PubMed  Google Scholar 

  19. Richards A, Nicholls M, Yandle T, Ikram H, Espiner E, Turner J, Buttimore R, Lainchbury J, Elliott J, Frampton C: Neuroendocrine prediction of left ventricular function and heart failure after acute myocardial infarction. Heart. 1999, 81 (2): 114-120.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  20. Palmer B, Pilbrow A, Frampton C, Yandle T, Nicholls M, Richards A, Cameron V: ACE gene polymorphism interacts with LVEF and BNP levels to predict mortality following myocardial infarction. Journal of the American College of Cardiology. 2003, 41 (5): 729-736. 10.1016/S0735-1097(02)02927-3.

    Article  CAS  PubMed  Google Scholar 

  21. Cockcroft DW, Gault MH: Prediction of creatinine clearance from serum creatinine. Nephron. 1976, 16 (1): 31-41. 10.1159/000180580.

    Article  CAS  PubMed  Google Scholar 

  22. Richards AM, Nicholls MG, Espiner EA, Lainchbury JG, Troughton RW, Elliott J, Frampton C, Turner J, Crozier IG, Yandle TG: B-type natriuretic peptides and ejection fraction for prognosis after myocardial infarction. Circulation. 2003, 107 (22): 2786-2792. 10.1161/01.CIR.0000070953.76250.B9.

    Article  CAS  PubMed  Google Scholar 

  23. Cameron VA, Mocatta TJ, Pilbrow AP, Frampton CM, Troughton RW, Richards AM, Winterbourn CC: Angiotensin type-1 receptor A1166C gene polymorphism correlates with oxidative stress levels in human heart failure. Hypertension. 2006, 47 (6): 1155-1161. 10.1161/

    Article  CAS  PubMed  Google Scholar 

  24. Baird TE, Palmer BR, Frampton CM, Yandle TG, Skelton L, Richards AM, Cameron VA: Association of the aldosterone synthase gene C-344T polymorphism with risk factors and survival in a post-myocardial infarction cohort. J Hum Hypertens. 2007, 21 (3): 256-258.

    CAS  PubMed  Google Scholar 

  25. Collins RP, Palmer BR, Pilbrow AP, Frampton CM, Troughton RW, Yandle TG, Skelton L, Richards AM, Cameron VA: Evaluation of AMPD1 C34T genotype as a predictor of mortality in heart failure and post-myocardial infarction patients. Am Heart J. 2006, 152 (2): 312-320. 10.1016/j.ahj.2005.12.015.

    Article  CAS  PubMed  Google Scholar 

  26. Cheurfa N, Dubois-Laforgue D, Ferrarezi DA, Reis AF, Brenner GM, Bouche C, Le Feuvre C, Fumeron F, Timsit J, Marre M: The common -866G>A variant in the promoter of UCP2 is associated with decreased risk of coronary artery disease in type 2 diabetic men. Diabetes. 2008, 57 (4): 1063-1068. 10.2337/db07-1292.

    Article  CAS  PubMed  Google Scholar 

  27. Brownlee M: Biochemistry and molecular cell biology of diabetic complications. Nature. 2001, 414 (6865): 813-820. 10.1038/414813a.

    Article  CAS  PubMed  Google Scholar 

  28. Mocatta TJ, Pilbrow AP, Cameron VA, Senthilmohan R, Frampton CM, Richards AM, Winterbourn CC: Plasma concentrations of myeloperoxidase predict mortality after myocardial infarction. J Am Coll Cardiol. 2007, 49 (20): 1993-2000. 10.1016/j.jacc.2007.02.040.

    Article  CAS  PubMed  Google Scholar 

  29. Sureda A, Ferrer MD, Tauler P, Tur JA, Pons A: Lymphocyte antioxidant response and H2O2 production after a swimming session: gender differences. Free radical research. 2008, 42 (4): 312-319. 10.1080/10715760801989926.

    Article  CAS  PubMed  Google Scholar 

  30. Vassalle C, Maffei S, Boni C, Zucchelli GC: Gender-related differences in oxidative stress levels among elderly patients with coronary artery disease. Fertility and sterility. 2008, 89 (3): 608-613. 10.1016/j.fertnstert.2007.03.052.

    Article  CAS  PubMed  Google Scholar 

  31. De Souza CT, Araujo EP, Stoppiglia LF, Pauli JR, Ropelle E, Rocco SA, Marin RM, Franchini KG, Carvalheira JB, Saad MJ: Inhibition of UCP2 expression reverses diet-induced diabetes mellitus by effects on both insulin secretion and action. Faseb J. 2007, 21 (4): 1153-1163. 10.1096/fj.06-7148com.

    Article  CAS  PubMed  Google Scholar 

  32. Humphries SE, Cooper JA, Talmud PJ, Miller GJ: Candidate gene genotypes, along with conventional risk factor assessment, improve estimation of coronary heart disease risk in healthy UK men. Clinical chemistry. 2007, 53 (1): 8-16. 10.1373/clinchem.2006.074591.

    Article  CAS  PubMed  Google Scholar 

Download references


We thank the participants in the PMI study, Endolab and Christchurch Cardiology Outpatient staff. The Health Research Council and the National Heart Foundation (NHF) of New Zealand supported this work. CLD participated in the Butler-IFSA study abroad program at the University of Canterbury, Christchurch. APP held a Foundation of Research, Science and Technology Postdoctoral Fellowship and AMR held the NHF Chair of Cardiovascular Studies.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Barry R Palmer.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

BRP, SSD and HEM conceived the study and the experimental design and BRP, CLD and TJM performed the data acquisition and interpreted the results. TGY was responsible for hormone assay data acquisition and interpretation. BRP, CMF and HEM drafted the manuscript. APP, VAC, AMR, CCW, LS, SSD and HEM interpreted the results and critically reviewed the manuscript adding important intellectual content. All authors read and approved the final version of the manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Authors’ original file for figure 2

Rights and permissions

This article is published under license to BioMed Central Ltd. 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 work is properly cited.

Reprints and Permissions

About this article

Cite this article

Palmer, B.R., Devereaux, C.L., Dhamrait, S.S. et al. The common G-866A polymorphism of the UCP2 gene and survival in diabetic patients following myocardial infarction. Cardiovasc Diabetol 8, 31 (2009).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • UCP2 Expression
  • UCP2 Gene
  • Increase Reactive Oxygen Species Formation
  • Myeloperoxidase Level
  • UCP2 Genotype