OBJECTIVE—Lipid hydroperoxide, a marker of oxidative stress, is linked to the development of nephropathy and is reportedly higher in patients of African origin compared with Caucasians. This may be relevant to race-specific differences in susceptibility to nephropathy. We investigated whether alterations in antioxidant enzyme activity could account for this biochemical phenotype and examined the relationship with conventional markers of renal disease.

RESEARCH DESIGN AND METHODS—Two hundred seventeen individuals were studied. Patients with type 2 diabetes (n = 75) of African and Caucasian origin were matched by sex and racial origin with healthy control subjects (n = 142). Plasma total superoxide dismutase (SOD) and glutathione peroxidase (GPx) activity were spectrophotometrically measured, and total cholesterol and triglycerides were measured by enzymatic methods.

RESULTS—SOD activity was higher and GPx activity lower in patients with diabetes than in healthy control subjects (573 ± 515 vs. 267 ± 70 units/l, P < 0.001 and 150 ± 93 vs. 178 ± 90 units/l, P = 0.019, respectively). Patients of African origin with diabetes had lower GPx and higher SOD activity compared with Caucasian patients (126 ± 82 vs. 172 ± 97 units/l, P = 0.03 and 722 ± 590 vs. 445 ± 408 units/l, P = 0.002, respectively). Patients of African origin with normal urinary albumin excretion had significantly higher plasma creatinine concentrations (100.7 ± 14.2 vs. 88.1 ± 14.9 μmol/l, P = 0.007) and lower GPx activity (99.0 ± 72.4 vs. 173.7 ± 107.4 units/l, P = 0.02) compared with those of Caucasian origin. African origin was an independent predictor of elevated SOD (P = 0.007) and reduced GPx activity (P = 0.02) in regression analysis.

CONCLUSIONS—SOD and GPx enzyme activities vary according to race and could account for differences in lipid hydroperoxide. In patients of African origin, susceptibility to renal disease may be associated with lowered GPx activity.

People of African origin have an increased susceptibility to renal disease compared with Caucasians. In the U.K. and U.S., there is a four- to sixfold difference in the incidence of end-stage renal disease due to diabetic nephropathy (13). The higher prevalence of end-stage renal disease in patients of African origin exceeds that which is explained by the prevalences of hypertension and diabetes.

Plasma measures of oxidative stress are increased in patients with diabetes compared with control subjects (4). A nonspecific lipid peroxidation product, malonyldialdehyde, which is indicative of oxidant stress and advanced glycation end products, localizes in the nodular glomerular lesions characteristic of diabetic nephropathy (57). Free radicals are also implicated in endothelial and basement membrane damage and, as such, are pathophysiologically related to increased urinary albumin excretion, the most powerful marker of the onset and progression of diabetic nephropathy (810).

The major reactive oxygen species produced in the course of oxidative metabolism is superoxide. This free radical forms the stable product lipid hydroperoxide in its interaction with fatty acid side chains. We have previously reported higher plasma lipid hydroperoxide concentrations in patients with type 2 diabetes of African origin compared with Caucasians (11). We hypothesized that the generation of and/or capacity to dismutate superoxide by superoxide dismutase (SOD) and decompose hydrogen peroxide by glutathione peroxidase (GPx) may differ between these racial groups. Therefore, we measured the activities of these antioxidant enzymes and concentrations of α-tocopherol in patients with type 2 diabetes of African and Caucasian origin and in a matched nondiabetic population of similar racial composition.

Patients with type 2 diabetes attended the outpatient department of the Whittington Hospital, which serves a multiracial population of 155,000 in North London. In the assignment of racial origin, patients were considered to be of black African origin (Caribbean and African) if both parents were native to either African or Caribbean countries. Caucasian patients were confirmed as such if both parents originated from Western European countries. A diagnosis of type 2 diabetes was based on an absence of ketosis at, or need for insulin within, 1 year of diagnosis. Microalbuminuria was diagnosed if albumin-to-creatinine ratios were ≥3 mg/mmol in at least two sequential, sterile, early-morning urine samples and if the urinary albumin excretion rate was between 30 and 300 mg/day in a 24-h urine collection. A history of cardiovascular disease was determined using the Rose questionnaire (12).

Nondiabetic control plasma samples were obtained from subjects who took part in the Wandsworth Heart and Stroke Study, a cross-sectional study of cardiovascular risk factors in racial minority groups carried out in South London. In this study, individuals of African and Caucasian racial origin (assigned as above) were randomly sampled from a population of 190,000 in the Wandsworth Health Authority, as previously described (13). A 75-g oral glucose tolerance test was performed to exclude glucose intolerance in those not known to have diabetes or glycosuria (13,14). Clinical and biochemical data were collected from two sex-, age-band (within 5 years)-, and race-matched control subjects without glucose intolerance for each patient with type 2 diabetes. The study was approved by the ethics committees of the Whittington Hospital and the Wandsworth Health Authority.

BMI was calculated from weight in kilograms divided by height in meters squared. Mean systolic and diastolic blood pressure were calculated according to a standardized protocol after at least 10 min rest using a validated automated machine and appropriate cuff. In patients with diabetes, direct fundoscopy was performed after the pupils were dilated with tropicamide. Retinopathy status was recorded as either present (background, preproliferative, or proliferative) or absent.

Fasting venous blood was taken from an antecubital vein. HbA1c (A1C) was measured by a high-performance liquid chromatography system (Menarini 8140; Menarini Diagnostics, Wokingham, U.K.). Total and HDL cholesterol and total triglycerides were estimated using enzymatic methods (Boehringer-Mannheim, Mannheim, Germany). Urinary albumin and creatinine were measured by immunoturbidimetry (Cobas Fara; Roche) and the Jaffe rate reaction methods, respectively. The samples were coded in order to blind the laboratory staff to the patients’ sex, age, racial origin, diabetes, and comorbidity status. Renal function was determined from the Cockcroft and Gault formula and termed the estimated glomerular filtration rate corrected for a body surface area of 1.73 m−2.

Antioxidant enzyme activity

GPx activity was measured using a coupled assay system. The oxidation of reduced glutathione was coupled to NADPH oxidation in a reaction catalyzed by glutathione reductase. A total of 500 μl Tris-HCl (0.2 mmol/l, pH 8) was mixed with 100 μl NADPH (2 mmol/l) followed by 100 μl EDTA (5 mmol/l) and 100 μl glutathione (20 mmol/l). Plasma samples (100 μl) were then mixed with glutathione reductase (0.002 units) and incubated for 5 min at 37°C and for a further 5 min after the addition of 100 μl of tertiar-butyl hydroperoxide (0.7 mmol/l). Absorbances were read in a spectrophotometer (Shimadzu UV 240; Shimadzu, Kyoto, Japan) at 340 nm. A unit of GPx activity was defined as being equivalent to the oxidation of 1 μmol of NADPH per second at 37°C (15).

Plasma SOD activity was measured in 500-μl aliquots of plasma treated with 300 μl chloroform and 500 μl ethanol. The samples were then centrifuged at 18,000g for 30 min, and 50 μl of the supernatant were removed and mixed with 900 μl of an SOD reagent (0.1 mmol/l xanthine, 0.1 mmol/l EDTA, 50 mg BSA, 25 mmol/l NBT (nitro blue tetrazolium), and 40 mmol/l Na2CO3 (pH 10.2). Xanthine oxidase (10 μl of solution containing 25 units in 0.8 ml of 2 mol ammonium sulfate) was then added, and the samples were incubated for 20 min at 25°C. The reaction was stopped by the addition of 1 ml CuCl2 (0.8 mmol/l), and the absorbance of the samples was measured at 560 nm (16).

α-Tocopherol measurement

Plasma samples (100 μl) were placed in glass tubes with 100 ηg γ-tocopherol in 500 μl ethanol as internal standard and mixed with 500 μl water and 1 ml n-hexane. The upper (hexane) layer was aspirated after centrifugation, and lipid extraction was performed twice. The solvent was evaporated to dryness under a stream of nitrogen. The residue was dissolved into 100 μl acetonitrile, and 20 μl was then injected on to an high-performance liquid chromatography system (Gilson, Anachem, Luton, Scotland) composed of a model 305 pump, Mixer 805 Monometric module, and Fluorometer model 121. Tocopherols were separated by reverse-phase chromatography on an ODS column (10 cm × 5 mm; particle size 5 μm; Chrompack, Middelburg, the Netherlands) using acetonitrile/water (80/20 [vol/vol]) at a flow rate of 0.7 ml/min as mobile phase. α-Tocopherol was detected using excitation and emission wavelengths at 295 nm and 340 nm, respectively (4). α-Tocopherol levels were corrected for total cholesterol concentrations.

Statistics

Continuous data were analyzed with parametric or nonparametric tests according to their distribution and categorical data with the χ2 test, using SPSS version 10.1 for Windows (Chicago, IL). Skewed data were log transformed before analyses. Regression analyses were carried out with antioxidant enzyme activity as the dependent variable. All analyses were two tailed, and a P value <0.05 was accepted as being statistically significant. Data are presented as means ± SD, unless otherwise stated.

Clinical and biochemical data for the study population are shown in Table 1. Patients with type 2 diabetes were older, had a greater BMI, and had higher systolic blood pressure compared with the control population. Men and women without diabetes had significantly higher total cholesterol but lower triglycerides compared with patients with type 2 diabetes. Differences in antioxidant enzyme activity between the patients with and without type 2 diabetes are shown in Fig. 1.

The clinical and biochemical characteristics of the patients with type 2 diabetes according to racial origin are shown in Table 2. The patients were well matched for age and had equivalent BMI and glycemic control. Similar numbers of patients were receiving either diet alone/oral hypoglycemic agents or insulin-based regimens for treatment of their diabetes in the Caucasian and African groups (4/27/13/1 and 2/13/12/3, respectively, P = 0.30). The frequency of cardiovascular disease (stroke, ischemic heart disease) and treatment for hypertension was similar in the Caucasian and African groups (13 vs. 5, P = 0.23 and 25 vs. 19, P = 0.14). Peripheral vascular disease was reported in 15% (n = 6) of the Caucasian group and none of the African patients (P = 0.04).

Patients of African origin with type 2 diabetes had significantly higher diastolic blood pressure, HDL cholesterol, and plasma creatinine but lower fasting triglycerides compared with the Caucasian group. The concentration of α-tocopherol unadjusted and adjusted for total cholesterol was lower in the African patients (31.7 ± 9.7 vs. 37.8 ± 13.7 μmol/l, P = 0.05 and 6.2 ± 1.64 vs. 7.81 ± 2.78 (μmol/l)/(mmol/l) P = 0.01, respectively). SOD activity was higher and GPx activity lower in African compared with Caucasian patients (Fig. 2).

Patients of African origin with normal urinary albumin excretion had significantly higher plasma creatinine concentrations (100.7 ± 14.2 vs. 88.1 ± 14.9 μmol/l, P = 0.007) and lower GPx activity (99.0 ± 72.4 vs. 173.7 ± 107.4 units/l, P = 0.02) compared with those of Caucasian origin. Patients in these respective racial groups with microalbuminuria had similar concentrations of plasma creatinine and levels of GPx activity (123.9 ± 42.4 vs. 104.9 ± 27.3 μmol/l, P = 0.15 and 160.9 ± 82.5 vs. 152.8 ± 80.5 units/l, P = 0.81). Urinary albumin excretion correlated with GPx activity in patients of African origin (Fig. 3).

Regression analyses were performed for SOD and GPx activity separately as independent variables. For patients with diabetes, the dependent variables of each model entered were age, sex, systolic blood pressure, estimated glomerular filtration rate, A1C, and race. African race remained a significant and independent determinant of antioxidant enzyme activity in the patients with diabetes (Tables 3 and 4). In a model including the whole cohort of patients with and without type 2 diabetes, race remained an independent predictor of SOD activity (P = 0.015).

Superoxide is considered an important free radical contributing to oxidative stress (17). It is dismuted to hydrogen peroxide, a much less harmful product, by the family of SOD enzymes. The subsequent conversion of hydrogen peroxide to water is dependent on GPx activity. Recent experimental data have shown that increased superoxide production due to increased NADPH oxidase activity can be effectively suppressed by α-tocopherol supplementation (18). Relatively lower α-tocopherol concentrations and GPx activity could therefore explain the higher rates of lipid hydroperoxides in patients of African origin reported earlier (11).

Plasma GPx activity is largely derived from the renal tubular epithelium (19). Both plasma and erythrocyte GPx activity change in relation to the evolution of renal disease (2022). Activity progressively rises in the phase of incipient to established renal failure and then declines with the loss of functional renal mass to end-stage renal disease (23). Our data suggest that patients of African origin with reduced GPx activity already have a lower functional renal mass compared with Caucasian patients before the development of incipient nephropathy. Of note, GPx activity was higher in patients with microalbuminuria in this racial group, suggesting a preserved response to the development of incipient renal disease or microvascular damage. These data suggest that the differential regulation of reduction/oxidation (redox) pathways could play a role in renal disease susceptibility.

Greater deposition of the products of oxidative stress in the kidney is linked to faster rates of functional decline (2427). Oxidative stress also contributes to hemodynamic alterations that occur with and promote diabetic nephropathy (28,29). An elevation in circulating lipid hydroperoxide activates the p38 mitogen-activated kinase in platelets, promoting their activation and aggregation and thereby predisposing to microvascular ischemia (30). Superoxide neutralizes nitric oxide and increases formation of the toxic free radical peroxynitrite and impairs vascular dilatation (30). This could explain the blunted renal vasodilatory responses in healthy African Americans and patients of African origin with type 2 diabetes and microalbuminuria compared with matched Caucasian control subjects (31,32).

Central to the origin and development of vascular complications in diabetes is impaired endothelial function and reduced insulin sensitivity. This syndrome, like aging, could be dependent upon a progressive reduction in antioxidant enzyme activity (33,34). In our study, patients with type 2 diabetes of African origin had higher SOD and lower GPx activity, which, together with reduced total triglycerides and raised HDL cholesterol, suggests relatively higher insulin sensitivity than in Caucasians. Of note, treatment that improves insulin sensitivity also increases SOD activity in patients with diabetes (35). Paradoxically, overexpression of GPx activity could promote the development of insulin resistance through impaired insulin receptor signaling due to faulty lipid hydroperoxide–dependent activation of serine/threonine kinase Akt (36). We have not determined whether the patients of African origin have a relatively higher insulin sensitivity. However, together these data suggest that differences in the magnitude of antioxidant defense (and possibly insulin resistance) could be relevant to the development, or not, of the vascular complications of diabetes.

It remains unclear if these differences in antioxidant enzyme activity are inherent or due to environmental factors. The racial differences in lipid hydroperoxide that we reported earlier could also be dependent on free fatty acid constitution. In a preliminary study, we found higher levels of the polyunsaturated fat eicosapentanoic acid in patients of African origin with type 2 diabetes than in Caucasians (data not shown). This could contribute to higher levels of lipid hydroperoxide, affect the consumption of vitamin E, and thereby modulate GPx activity. In addition, treatment of hypercholesterolemia with statins has variable effects on antioxidant enzyme activity (37,38). We have no evidence to suggest that differences in the usage of these or other drugs that can modify antioxidant enzymes or dietary factors account for our observations. Data showing that cultured endothelial cells derived from African patients release greater quantities of superoxide and peroxynitrite radicals compared with Caucasians are consistent with our findings and imply an inherent basis for the racial differences in redox metabolism (39). Further studies are needed to explore whether treatments that can potentially alter these antioxidant enzymes will modify the susceptibility to or occurrence of diabetes complications.

Figure 1—

Plasma SOD (□) and GPx (▪) activity in nondiabetic healthy control subjects and patients with type 2 diabetes.

Figure 1—

Plasma SOD (□) and GPx (▪) activity in nondiabetic healthy control subjects and patients with type 2 diabetes.

Close modal
Figure 2—

Activity of antioxidant enzymes SOD and GPx in patients with diabetes. Activity of SOD and GPx was higher and lower, respectively, in African (□) compared with Caucasian (□) patients. *P = 0.02; **P = 0.003.

Figure 2—

Activity of antioxidant enzymes SOD and GPx in patients with diabetes. Activity of SOD and GPx was higher and lower, respectively, in African (□) compared with Caucasian (□) patients. *P = 0.02; **P = 0.003.

Close modal
Figure 3—

Relationship between plasma GPx activity and log10 urinary albumin excretion rate in patients with type 2 diabetes of African origin.

Figure 3—

Relationship between plasma GPx activity and log10 urinary albumin excretion rate in patients with type 2 diabetes of African origin.

Close modal
Table 1—

Clinical and comparative lipid data by racial origin of men and women with and without type 2 diabetes

Men
Women
With type 2 diabetesWithout type 2 diabetesPWith type 2 diabetesWithout type 2 diabetesP
n 45 86 — 30 56 — 
Age (years) 64.5 ± 8.9 52.9 ± 4.4 0.000 64.5 ± 8.2 53.0 ± 4.1 0.000 
Systolic blood pressure (mmHg) 147.8 ± 17.0 130.5 ± 20.5 0.000 143.7 ± 28.0 125.8 ± 18.4 0.001 
Diastolic blood pressure (mmHg) 81.9 ± 10.5 84.3 ± 10.9 0.216 82.2 ± 10.7 79.1 ± 10.0 0.171 
BMI (kg/m228.8 ± 3.3 26.0 ± 3.5 0.000 30.1 ± 5.3 27.5 ± 4.5 0.019 
Total cholesterol (mmol/l) 4.80 ± 0.93 6.04 ± 1.25 0.000 5.10 ± 0.71 6.20 ± 1.19 0.000 
    African origin 4.95 ± 1.10 5.74 ± 1.23  4.92 ± 0.68 5.89 ± 1.03  
    Caucasian origin 4.71 ± 0.84 6.19 ± 1.25  5.31 ± 0.71 6.54 ± 1.27  
    African versus Caucasian origin P = 0.81 P = 0.12  P = 0.41 P = 0.03  
HDL cholesterol (mmol/l) 1.33 ± 0.32 1.31 ± 0.35 0.751 1.52 ± 0.27 1.70 ± 0.45 0.071 
    African origin 1.52 ± 0.38 1.38 ± 0.36  1.56 ± 0.29 1.73 ± 0.41  
    Caucasian origin 1.22 ± 0.22 1.27 ± 0.34  1.47 ± 0.26 1.64 ± 0.50  
    African versus Caucasian origin P = 0.001 P = 0.16  P = 0.001 P = 0.43  
Total triglycerides (mmol/l) 1.67 ± 0.83 1.26 ± 0.88 0.011 1.60 ± 0.86 0.94 ± 0.41 0.000 
    African origin 1.31 ± 0.63 1.05 ± 0.55  1.36 ± 0.71 0.79 ± 0.25  
    Caucasian origin 1.90 ± 0.87 1.36 ± 1.00  2.00 ± 0.98 1.10 ± 0.48  
    African versus Caucasian origin P = 0.002 P = 0.07  P = 0.02 P = 0.005  
Men
Women
With type 2 diabetesWithout type 2 diabetesPWith type 2 diabetesWithout type 2 diabetesP
n 45 86 — 30 56 — 
Age (years) 64.5 ± 8.9 52.9 ± 4.4 0.000 64.5 ± 8.2 53.0 ± 4.1 0.000 
Systolic blood pressure (mmHg) 147.8 ± 17.0 130.5 ± 20.5 0.000 143.7 ± 28.0 125.8 ± 18.4 0.001 
Diastolic blood pressure (mmHg) 81.9 ± 10.5 84.3 ± 10.9 0.216 82.2 ± 10.7 79.1 ± 10.0 0.171 
BMI (kg/m228.8 ± 3.3 26.0 ± 3.5 0.000 30.1 ± 5.3 27.5 ± 4.5 0.019 
Total cholesterol (mmol/l) 4.80 ± 0.93 6.04 ± 1.25 0.000 5.10 ± 0.71 6.20 ± 1.19 0.000 
    African origin 4.95 ± 1.10 5.74 ± 1.23  4.92 ± 0.68 5.89 ± 1.03  
    Caucasian origin 4.71 ± 0.84 6.19 ± 1.25  5.31 ± 0.71 6.54 ± 1.27  
    African versus Caucasian origin P = 0.81 P = 0.12  P = 0.41 P = 0.03  
HDL cholesterol (mmol/l) 1.33 ± 0.32 1.31 ± 0.35 0.751 1.52 ± 0.27 1.70 ± 0.45 0.071 
    African origin 1.52 ± 0.38 1.38 ± 0.36  1.56 ± 0.29 1.73 ± 0.41  
    Caucasian origin 1.22 ± 0.22 1.27 ± 0.34  1.47 ± 0.26 1.64 ± 0.50  
    African versus Caucasian origin P = 0.001 P = 0.16  P = 0.001 P = 0.43  
Total triglycerides (mmol/l) 1.67 ± 0.83 1.26 ± 0.88 0.011 1.60 ± 0.86 0.94 ± 0.41 0.000 
    African origin 1.31 ± 0.63 1.05 ± 0.55  1.36 ± 0.71 0.79 ± 0.25  
    Caucasian origin 1.90 ± 0.87 1.36 ± 1.00  2.00 ± 0.98 1.10 ± 0.48  
    African versus Caucasian origin P = 0.002 P = 0.07  P = 0.02 P = 0.005  

Data are means ± SD.

Table 2—

Clinical and biochemical data of patients with type 2 diabetes according to racial origin

AfricanCaucasianP
n 30 45 — 
Men (%) 14 ± 46 31 ± 69 0.05 
Age (years) 65.9 ± 9.0 62.8 ± 8.5 0.13 
Diabetes duration (years) 15.1 ± 9.3 12.1 ± 7.8 0.14 
Retinopathy (n16 18 0.23 
Smoking (no/yes/ex-smoker) (%) 22/1/7 19/3/23 0.03 
BMI (kg/m227.8 ± 1.9 30.7 ± 3.7 0.13 
Systolic blood pressure (mmHg) 145.4 ± 21.2 150.7 ± 19.7 0.13 
Diastolic blood pressure (mmHg) 84.6 ± 11.1 77.9 ± 11.7 0.04 
A1C (%) 8.1 ± 1.4 7.7 ± 1.6 0.17 
Cholesterol (mmol/l) 5.0 ± 0.9 4.7 ± 0.7 0.41 
HDL cholesterol (mmol/l) 1.6 ± 0.3 1.3 ± 0.2 0.00 
Triglycerides (mmol/l) 1.2 ± 0.6 1.9 ± 0.8 0.00 
Creatinine (μmol/l) 111.6 ± 31.7 94.9 ± 21.2 0.01 
Estimated glomerular filtration rate (ml · min−1 · 1.73 m−266.3 ± 20.4 85.9 ± 27.6 0.001 
Urinary albumin excretion (mg/day) 12.8 (7.1–36.1) 15.8 (8.8–36.0) 0.45 
AfricanCaucasianP
n 30 45 — 
Men (%) 14 ± 46 31 ± 69 0.05 
Age (years) 65.9 ± 9.0 62.8 ± 8.5 0.13 
Diabetes duration (years) 15.1 ± 9.3 12.1 ± 7.8 0.14 
Retinopathy (n16 18 0.23 
Smoking (no/yes/ex-smoker) (%) 22/1/7 19/3/23 0.03 
BMI (kg/m227.8 ± 1.9 30.7 ± 3.7 0.13 
Systolic blood pressure (mmHg) 145.4 ± 21.2 150.7 ± 19.7 0.13 
Diastolic blood pressure (mmHg) 84.6 ± 11.1 77.9 ± 11.7 0.04 
A1C (%) 8.1 ± 1.4 7.7 ± 1.6 0.17 
Cholesterol (mmol/l) 5.0 ± 0.9 4.7 ± 0.7 0.41 
HDL cholesterol (mmol/l) 1.6 ± 0.3 1.3 ± 0.2 0.00 
Triglycerides (mmol/l) 1.2 ± 0.6 1.9 ± 0.8 0.00 
Creatinine (μmol/l) 111.6 ± 31.7 94.9 ± 21.2 0.01 
Estimated glomerular filtration rate (ml · min−1 · 1.73 m−266.3 ± 20.4 85.9 ± 27.6 0.001 
Urinary albumin excretion (mg/day) 12.8 (7.1–36.1) 15.8 (8.8–36.0) 0.45 

Data are means ± SD or median (interquartile range), unless otherwise indicated.

Table 3—

Regression analysis with the dependent variable SOD in patients with type 2 diabetes

VariableStandardized coefficientSEtP
Race 0.41 151.8 2.81 0.007 
Age −0.04 10.78 0.25 0.82 
Systolic blood pressure −0.06 3.42 −0.47 0.64 
Estimated glomerular filtration rate 0.10 3.61 0.56 0.58 
Sex −0.19 133.76 −1.51 0.14 
A1C −0.26 50.64 −1.97 0.05 
VariableStandardized coefficientSEtP
Race 0.41 151.8 2.81 0.007 
Age −0.04 10.78 0.25 0.82 
Systolic blood pressure −0.06 3.42 −0.47 0.64 
Estimated glomerular filtration rate 0.10 3.61 0.56 0.58 
Sex −0.19 133.76 −1.51 0.14 
A1C −0.26 50.64 −1.97 0.05 
Table 4—

Regression analysis with the dependent variable GPx in patients with type 2 diabetes

VariableStandardized coefficientSEtP
Race −0.37 28.75 −2.39 0.02 
Age −0.18 2.06 −0.9 0.37 
Systolic blood pressure 0.22 0.64 1.51 0.14 
Estimated glomerular filtration rate −0.21 0.68 1.01 0.32 
Sex 0.07 25.6 0.51 0.61 
A1C 0.15 9.73 1.00 0.32 
VariableStandardized coefficientSEtP
Race −0.37 28.75 −2.39 0.02 
Age −0.18 2.06 −0.9 0.37 
Systolic blood pressure 0.22 0.64 1.51 0.14 
Estimated glomerular filtration rate −0.21 0.68 1.01 0.32 
Sex 0.07 25.6 0.51 0.61 
A1C 0.15 9.73 1.00 0.32 

This work was supported by grants awarded to K.A.E. by the St. George’s Charitable Trust and The Sir Jules Thorn Foundation. A list of the Wandsworth Heart and Stroke Study group is given elsewhere (12). The Wandsworth Heart and Stroke Study has received support from the former Wandsworth and South Thames Regional Health Authorities, the National Health Service Research and Development Directorate, the British Heart Foundation, the former British Diabetic Association, and the Stroke Association. F.P.C. and K.A.E. are members of the St. George’s Cardiovascular Research group. J.N.-Z. is supported by the British Heart Foundation.

1.
United States Renal Data System:
USRDS 1998 Annual Data Report
. Bethesda, MD, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases,
1998
2.
Cowie CC, Port FK, Wolfe RA, Savage PJ, Moll PP, Hawthorne VM: Disparities in incidence of diabetic end-stage renal disease according to race and type of diabetes.
N Engl J Med
321
:
1074
–1079,
1989
3.
Roderick PJ, Jones I, Raleigh VS, McGeown M, Mallick N: Population need for renal replacement therapy in Thames regions: racial dimension.
BMJ
309
:
1111
–1114,
1994
4.
Nourooz-Zadeh J, Rahimi A, Tajaddini-Sarmadi J, Tritschler H, Rosen P, Halliwell B, Betteridge DJ: Relationships between plasma measures of oxidative stress and metabolic control in NIDDM.
Diabetologia
40
:
647
–653,
1997
5.
Scmidt AM: Regulation of human mononuclear phagocyte migration by cell surface binding proteins for AGEs.
J Clin Invest
91
:
2155
–2168,
1993
6.
Suzuki D, Miyata T, Saotome N, Horie K, Inagi R, Yasuda Y, Uchida K, Izuhara Y, Yagame M, Sakai H, Kurokawa K: Immunohistochemical evidence for an increased oxidative stress and carbonyl modification of proteins in diabetic glomerular lesions.
J Am Soc Nephrol
10
:
822
–832,
1999
7.
Ha H, Kim KH: Role of oxidative stress in the development of diabetic nephropathy.
Kidney Int Suppl
51
:
S18
–S21,
1995
8.
Langenstroer P, Pieper GM: Regulation of spontaneous EDRF release in diabetic rat aorta by oxygen free radicals.
Am J Physiol
263
:
H257
–H265,
1992
9.
Corbett JA, Tilton RG, Chang K, Hasan KS, Ido Y, Wang JL, Sweetland MA, Lancaster JR Jr, Williamson JR, McDaniel ML: Aminoguanidine a novel inhibitor of nitric oxide formation prevents vascular dysfunction.
Diabetes
41
:
552
–556,
1992
10.
Asayama K, Hayashibe H, Dobashi K, Niitsu T, Miyao A, Kato K: Antioxidant enzyme status and lipid peroxidation in various tissues of diabetic and starved rats.
Diabetes Res
12
:
85
–91,
1989
11.
Mehrotra S, Ling LKE, Bekele Y, Gerbino E, Earle KA: Lipid hydroperoxide and markers of renal disease susceptibility in African and Caucasian subjects with type 2 diabetes.
Diabet Med
18
:
109
–115,
2001
12.
Rose GA: The diagnosis of ischaemic heart pain and intermittent claudication in field surveys.
Bull World Health Organ
27
:
645
,
1962
13.
Cappuccio FP, Cook DG, Atkinson RW, Wicks PD: The Wandsworth Heart and Stroke Study: a population-based survey of cardiovascular risk factors in different race groups: methods and baseline findings.
Nutr Metab Cardiovasc Dis
8
:
371
–385,
1998
14.
World Health Organization:
Diabetes Mellitus: Report of a WHO Study Group
. Geneva, World Health Org.,
1985
(Tech. Rep. Ser., no. 727)
15.
Avissar N, Slemmon JR, Palmer IS, Cohen HJ: Partial sequence of human plasma GPx and immunologic identification of milk glutathione peroxidase as the plasma enzyme.
J Nutr
121
:
1243
–1249,
1991
16.
Sun Y, Oberley LW, Li Y: A simple method for clinical assay of superoxide dismutase.
Clin Biochem
34
:
497
–500,
1988
17.
Droge W: Free radicals in the physiological control of cell function.
Physiol Rev
82
:
47
–95,
2002
18.
Ûlker S, McKewon PP, Bayraktutan U: Vitamins reverse endothelial dysfunction through regulation of eNOS and NAD(P)H oxidase activities.
Hypertension
41
:
534
–539,
2003
19.
Avissar N, Ornt DB, Yagil Y, Horowitz S, Watkins RH, Kerl EA, Takahashi K, Palmer IS, Cohen HJ: Human kidney proximal tubules are the main source of plasma glutathione peroxidase.
Am J Physiol
266
:
C367
–C375,
1994
20.
Ozden M, Maral H, Akaydin D, Cetinalp P, Kalender B: Erythrocyte glutathione peroxidase activity, plasma malondialdehyde and erythrocyte glutathione levels in hemodialysis and CAPD patients.
Clin Biochem
35
:
269
–273,
2002
21.
Mimic-Oka J, Simic T, Djukanovic L, Reljic Z, Davicevic Z: Alteration in plasma antioxidant capacity in various degrees chronic renal failure.
Clin Nephrol
51
:
233
–241,
1999
22.
Ceballos-Picot I, Witko-Sarsat V, Merad-Boudia M, Nguyen AT, Thevenin M, Jaudon MC, Zingraff J, Verger C, Jungers P, Descamps-Latscha B: Glutathione antioxidant system as a marker of oxidative stress in renal failure.
Free Rad Biol Med
21
:
845
–853,
1996
23.
Sommerburg O, Grune T, Ehrich JH, Siems WG: Adaptation of glutathione-peroxidase activity to oxidative stress occurs in children but not in adult patients with end-stage renal failure undergoing hemodialysis.
Clin Nephrol
58
:
S31
–S36,
2002
24.
Taniguchi N, Kaneto H, Asahi M, Takahashi M, Wenyi C, Higashiyama S, Fujii J, Suzuki K, Kayanoki Y, Kaneto H: Involvement of glycation and oxidative stress in diabetic macroangiopathy.
Diabetes
45(Suppl. 3)
:
S81
–S83,
1996
25.
Schmidt AM, Hori O, Chen J, Brett J, Stern D: AGE interaction with their endothelial receptor induces expression of VCAM-1: a potential mechanism for accelerated vasculopathy in diabetes.
J Clin Invest
96
:
1375
–1403,
1995
26.
Bucala R, Tracey KJ, Cerami A: Advanced glycation products quench nitric oxide and mediate defective endothelium dependent vasodilatation in experimental diabetes.
J Clin Invest
87
:
432
–438,
1991
27.
Ueda Y, Miyata T, Hashimoto T, Yamada H, Izuhara Y, Sakai H, Kurokawa K: Implication of altered redox regulation by antioxidant enzymes in the increased plasma pentosidine, an advanced glycation end product, in uraemia.
Biochem Biophys Res Comm
245
:
785
,
1998
28.
Cooper ME: Interaction of metabolic and haemodynamic factors in media experimental diabetic nephropathy.
Diabetologia
44
:
1957
–1972,
2001
29.
Futrakul N, Tosukhowong P, Valyapongpichit Y, Tipprukmas N, Futrakul P, Patumraj S: Oxidative stress and hemodynamic maladjustment in chronic renal disease: a therapeutic implication.
Ren Fail
24
:
433
–445,
2002
30.
Berry CE, Hare JM: Xanthine oxoreductase and cardiovascular disease: molecular mechanisms and pathophysiological implications.
J Physiol
555
:
589
–606,
2004
31.
Price DA, Fisher NDL, Osei SY, Lansang MC, Hollenberg NK: Renal perfusion and function in healthy African Americans.
Kidney Int
59
:
1037
–1043,
2001
32.
Earle KA, Mehrotra S, Dalton RN, Denver E, Swaminathan R: Defective nitric oxide production and functional renal reserve in patients with type 2 diabetes who have microalbuminuria of African and Asian compared with white origin.
J Am Soc Nephrol
12
:
2125
–2130,
2001
33.
Palanduz S, Ademoglu E, Gokkusu C, Tamer S: Plasma antioxidants and type 2 diabetes mellitus.
Res Commun Mol Pathol Pharmacol
109
:
309
–318,
2001
34.
Brandes RP, Fleming I, Busse R: Endothelial aging.
Cardiovasc Res
66
:
286
–294,
2005
35.
Adachi T, Inoue M, Hara H, Maehata E, Suzuki S: Relationship of plasma extracellular-superoxide dismutase level with insulin resistance in type 2 diabetic patients
J Endocrinol
181
:
413
–417,
2004
36.
McClung JP, Roneker CA, Mu W, Lisk DJ, Langlais P, Liu F, Lei XG: Development of insulin resistance and obesity in mice overexpressing cellular glutathione peroxidase.
Proc Natl Acad Sci U S A
101
:
8852
–8857,
2004
37.
Parker RA, Huang Q, Tesfamariam B: Influence of 3-hydoxy-3-methylglutaryl-CoA (HMG-CoA) reductase inhibitors on endothelial nitric oxide synthase and the formation of oxidants in the vasculature.
Atherosclerosis
169
:
19
–29,
2003
38.
Wassmann S, Laufs U, Muller K, Konkol C, Ahlbory K, Baumer AT, Linz W, Bohm M, Nickenig G: Cellular antioxidant effects of atorvastatin in vitro and in vivo.
Arterioscler Thromb Vasc Biol
22
:
300
–305,2002
39.
Kalinowski L, Dobrucki IT, Malinski T: Race-specific differences in endothelial function: predisposition of African Americans to vascular diseases.
Circulation
109
:
2511
–2517,
2004

A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.