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(Circulation. 2004;109:843-848.)
© 2004 American Heart Association, Inc.
Clinical Investigation and Reports |
as a Risk Marker in Patients With Coronary Heart Disease
From the Clinical Pharmacology Unit, Institute of Experimental and Clinical Pharmacology (E.S., R.M., R.H.B.), Institute of Clinical Chemistry (J. Brümmer), and Institute of Mathematics and Data Processing in Medicine (J. Berger), University Hospital Hamburg-Eppendorf, and the Institute of Clinical Pharmacology (A.B., H.L., D.T., F.-M.G., J.C.F.), Hannover Medical School, Germany.
Correspondence to Dr rer nat Edzard Schwedhelm, Institut für Experimentelle und Klinische Pharmakologie, Universitätsklinikum Hamburg-Eppendorf, Martinistraße 52, D-20246 Hamburg, Germany. E-mail schwedhelm{at}uke.uni-hamburg.de
Received September 24, 2003; revision received November 7, 2003; accepted November 18, 2003.
| Abstract |
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Methods and Results We conducted a case-control study with 93 CHD patients and 93 control subjects frequency-matched by age and sex. Urinary excretion of the F2-isoprostane 8-iso-prostaglandin (PG) F2
and its major urinary metabolite, 2,3-dinor-5,6-dihydro-8-iso-PGF2
, were measured by gas chromatographytandem mass spectrometry. Body mass index, systolic blood pressure, and C-reactive protein were elevated in CHD patients (P<0.01). Urinary 8-iso-PGF2
and 2,3-dinor-5,6-dihydro-8-iso-PGF2
also differed, from 77 (interquartile range, 61101) to 139 (93231) pmol/mmol creatinine and from 120 (91151) to 193 (140275) pmol/mmol in control subjects and case subjects, respectively (P<0.001). 8-iso-PGF2
and its metabolite were highly correlated (Spearmans
=0.664, P<0.001). HDL cholesterol was diminished in CHD patients (P<0.001). All of these characteristics predicted CHD in univariate analysis. In a multivariate model, the odds ratios were increased only for 8-iso-PGF2
(
131 pmol/mmol, P<0.001) and C-reactive protein (>3 mg/L, P<0.01), ie, by 30.8 (95% CI, 7.7124) and 7.2 (1.927.6), respectively. 8-iso-PGF2
was found to be a novel marker in addition to known risk factors of CHD, ie, diabetes mellitus, hypercholesterolemia, hypertension, and smoking. Urinary excretion of 8-iso-PGF2
correlated with the number of risk factors for all subjects (P<0.001 for trend).
Conclusions 8-iso-PGF2
is a sensitive and independent risk marker of CHD.
Key Words: prostaglandins coronary disease C-reactive protein isoprostanes risk factors
| Introduction |
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For many years, investigations in the field of oxidative stress were limited by a confusing number of surrogate markers with clinical relevance open to question. Reliable quantitative indices of free radicalinduced modification of DNA, proteins, and lipids in vivo have emerged only recently.3,4 In the cardiovascular system, lipids are in the first line of radical attack. Morrow et al5 have identified isoprostanes as end products of lipid peroxidation. Isoprostanes are chemically stable and can be measured noninvasively in human urine by mass spectrometry. A growing body of evidence has been provided by several groups underlining the validity of the isoprostanes as in vivo markers of oxidative stress.3,6,7 Studies have suggested isoprostanes as markers for patients at risk of atherosclerosis and coronary heart disease (CHD): elevated isoprostane formation was found in underlying diseases such as diabetes mellitus,8 hypertension and renovascular disease,9 hyperlipidemia,10 obesity,11 and cigarette smoking.12
The major risk factors for CHD are elevated blood pressure, elevated total cholesterol, LDL cholesterol, HDL cholesterol, diabetes mellitus, obesity, cigarette smoking, and advancing age.13 Studies evaluating the quantitative relationships between these risks have elucidated their additive nature in predicting CHD. The relative magnitude at which markers of oxidative stress such as isoprostanes contribute to these risk factors is as yet unknown. In addition, the extent to which oxidative stress contributes independently to hypertension, diabetes mellitus, hyperlipidemia, and obesity is open to question. Finally, increasing oxidative stress from different clinical conditions would be expected to contribute to CHD in a cumulative manner.
To evaluate the hypothesis that isoprostanes are independent and cumulative risk markers of CHD, we conducted a case-control study. Ninety-three patients with a confirmed diagnosis of CHD were included and frequency-matched by age and sex with control subjects (controls) from the general population. The isoprostanes 8-iso-prostaglandin (PG) F2
and 2,3-dinor-5,6-dihydro-8-iso-PGF2
were measured by gas chromatographytandem mass spectrometry (GC-tandem MS) along with C-reactive protein (CRP), oxidized LDL, and further biochemical parameters.
| Methods |
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All patients and controls were invited to the study center in the morning. The patients were asked for their previous medical history and the presence of cardiovascular risk factors by use of a standardized questionnaire. A fasting blood sample was drawn, and a urine sample was collected into a vial containing 5 mmol/L 4-hydroxy-2,2,6,6-tetramethylpiperidine 1-oxyl (4-hydroxy-TEMPO) and 5 mmol/L EDTA as antioxidants. Blood samples were centrifuged (2000g, 10 minutes, 4°C), and plasma was divided into aliquots and stored at -20°C until analysis. Urine samples were divided into aliquots and kept frozen at -80°C until analysis. Diurnal variation of creatinine-indexed isoprostane excretion was assessed in 3 subjects. No divergence was found between morning urine samples and 24-hour urine samples.14 Therefore, we decided to collect morning urine samples instead of 24-hour collection.
Biochemical Analyses
Urinary concentrations of 8-iso-PGF2
and 2,3-dinor-5,6-dihydro-8-iso-PGF2
were determined by GC-tandem MS as described previously in detail.15 Briefly, urine samples were thawed, and labeled internal standards of 8-iso-PGF2
and 2,3-dinor-5,6-dihydro-8-iso-PGF2
were added at 1 ng/mL, solid-phase-extracted on ODS, and subjected to thin-layer chromatography on silica gel. Transitions from m/z 569 to m/z 299 and from m/z 543 to m/z 273 were monitored for 8-iso-PGF2
and 2,3-dinor-5,6-dihydro-8-iso-PGF2
, respectively, by GC-tandem MS. Validity of the method was proven as reported previously.16 Urinary concentrations of 8-iso-PGF2
and 2,3-dinor-5,6-dihydro-8-iso-PGF2
were corrected by urinary creatinine concentration to account for differences in renal excretory function. Plasma concentration of oxidized LDL cholesterol was determined with a commercially available immunoassay (Mercodia SA). Plasma concentration of CRP was measured by a high-sensitivity assay (N Latex Mono test) on a Behring BN II nephelometer with polystyrene microbeads coated with monoclonal mouse antibodies.17 The detection limit of the assay was 0.2 mg/L. Plasma total cholesterol, LDL and HDL cholesterol, and triglyceride levels as well as plasma and urinary creatinine concentrations were determined by standard laboratory methods using certified assays in the local clinical laboratory.
Calculations and Statistical Methods
All data were tested for normal distribution with the Kolmogorov-Smirnov test. The distribution of 8-iso-PGF2
, 2,3-dinor-5,6-dihydro-8-iso-PGF2
, and CRP was highly skewed, as reported previously.18,19 Continuous variables were expressed as arithmetic mean±SD if normally distributed or otherwise by median with 25% and 75% percentiles. Because explorative data analysis was performed, no correction of the type I error was made. Differences between groups are given as mean or median differences. The 95% CIs are given for mean or median differences. Comparisons between 2 subgroups were performed with the Mann-Whitney U test (2-sided). Bivariate correlations were analyzed by Spearmans
as indicated. Continuous variables were split into tertiles for univariate and multivariate analysis. Categorized biochemical characteristics (body mass index, systolic blood pressure, CRP, HDL cholesterol, and 8-iso-PGF2
) and risk factors of CHD (diabetes mellitus, hypercholesterolemia, hypertension, and cigarette smoking) were included into the unconditional logistic regression models. Biochemical characteristics were included stepwise in one multivariate model and risk factors of CHD, including 8-iso-PGF2
, in a second multivariate model. Estimates of risk (odds ratios) and 95% CI were calculated on the basis of coefficients from the logistic regression models. For statistical analyses, SPSS version 11.0 was used.
| Results |
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Urinary excretion of 8-iso-PGF2
was 139 (93231) pmol/mmol creatinine in patients and 77 (61101) pmol/mmol creatinine in controls (P<0.001, Figure 1). Excretion of 8-iso-PGF2
metabolite was 193 (140275) pmol/mmol creatinine in patients and 120 (91151) pmol/mmol creatinine in controls (P<0.001). Individual urinary excretion of the metabolite was highly dependent on 8-iso-PGF2
excretion (
=0.664, P<0.001). Neither 8-iso-PGF2
nor its metabolite correlated with blood pressure, total cholesterol, LDL cholesterol, or HDL cholesterol. Treatment with lipid-lowering agents, ß-blockers, ACE inhibitors, calcium antagonists, and nitrates was not associated with reduced urinary excretion of 8-iso-PGF2
or its metabolite in patients. There was no correlation between the 2 isoprostanes and oxidized LDL. However, a correlation was found between 8-iso-PGF2
, 2,3-dinor-5,6-dihydro-8-iso-PGF2
, and CRP (
=0.225, P<0.01, and
=0.321, P<0.001, respectively). Urinary excretion of 8-iso-PGF2
correlated with the number of cardiovascular risk factors in the 2 groups (P<0.001 for trend, Figure 2).
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On univariate analysis, tertiles of body mass index, systolic blood pressure, CRP, and 8-iso-PGF2
were concentration-dependent risk markers of CHD (Table 2). The odds ratio for HDL cholesterol was decreased for plasma levels >0.9 mmol/L. Diabetes mellitus, hypercholesterolemia, hypertension, cigarette smoking, and obesity (body mass index >30 kg/m2) predicted CHD in univariate analysis as well.
On multivariate analysis, the categorized characteristics of patients, including body mass index (>30 kg/m2), systolic blood pressure, CRP, HDL cholesterol, and 8-iso-PGF2
, were tested as independent markers of CHD (Table 3). Only urinary excretion of 8-iso-PGF2
remained a strong risk marker in the 2 higher tertiles. The odds ratios were increased by 4.61 for 8-iso-PGF2
levels >80 pmol/mmol creatinine and by 30.8 for 8-iso-PGF2
levels >130 pmol/mmol creatinine. For CRP, an increased risk was found only for the highest tertile, ie, by 7.20 for CRP >3.0 mg/L.
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In a second model of multivariate analysis, tertiles of 8-iso-PGF2
were included together with risk factors of CHD (Table 4). Included risk factors were diabetes mellitus, hypercholesterolemia, hypertension, and cigarette smoking. With the exception of cigarette smoking, all other risk factors remained strong and independent predictors of CHD. 8-iso-PGF2
was found to be a strong concentration-dependent risk marker in this logistic regression model also.
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| Discussion |
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divided into tertiles was found to be a strong predictor of CHD in this model as well. The odds ratio was significantly elevated for levels of 8-iso-PGF2
>80 pmol/mmol creatinine. The close relationship previously observed between cigarette smoking and increased lipid peroxidation may explain why cigarette smoking was not found to be an independent risk marker in multivariate analysis.12 However, our results confirm previous studies showing increased isoprostane formation in diabetes mellitus, renal hypertension, hypercholesterolemia, and cigarette smoking.810,12 Furthermore, they are in line with recent findings from the Framingham study showing an association between urinary excretion of 8-iso-PGF2
and history of cardiovascular disease, smoking, and body mass index.18 Moreover, our data show for the first time that systemic oxidative stress is an additive risk marker of CHD in addition to traditional risk factors (Table 4). In line with this result, urinary excretion of 8-iso-PGF2
continuously increased with the number of traditional CHD risk factors (Figure 2).
To confirm the validity of our data, we correlated 8-iso-PGF2
with its major urinary metabolite, 2,3-dinor-5,6-dihydro-8-iso-PGF2
. We found a very good correlation (Spearmans
=0.66) analyzing both parameters with GC-tandem MS. Both were highly different between case subjects (cases) and controls (P<0.001). Further evidence for the suitability of 8-iso-PGF2
as a novel risk marker comes from analysis of possible confounders. Not surprisingly, in our cohort of cases, we found decreased levels of total cholesterol, LDL cholesterol, and triglycerides, reflecting the widespread use of lipid-lowering therapy in CHD patients (64%). Urinary excretion of 8-iso-PGF2
and its metabolite were not confounded by either lipid-lowering therapy or by total cholesterol, LDL cholesterol, or triglyceride levels. This finding is of particular interest, because it has been demonstrated that intervention with statins in mildly hypercholesterolemic patients reduced oxidant burden, ie, 8-iso-PGF2
and 3-nitrotyrosine formation.20,21 However, our trial was designed as a case-control study and therefore was not intended to detect such effects. Recently, a difference in urinary 8-iso-PGF2
in CHD patients with 1-vessel and multivessel disease was found.22 Unfortunately, we were not able to confirm this observation in our study (data not shown).
Interestingly, a correlation between 8-iso-PGF2
, its metabolite, and CRP existed (
=0.23 and
=0.32, respectively; P<0.01). This observation may result in part from the involvement of inflammatory and oxidative processes in atherosclerosis.1,23,24 Moderately elevated CRP is associated with a high risk of coronary events, possibly because of inflammation of the vascular bed.25 Although inflammation works hand in hand with oxidative modifications, oxidative stress may occur independently of inflammation. In support of this, we found 8-iso-PGF2
and high-sensitive CRP to be independent predictors of CHD (Table 3). Thus, the evaluation of both 8-iso-PGF2
and CRP should be superior to the measurement of either parameter alone. Another parameter of lipid peroxidation, oxidized LDL, failed to show a difference in our case-control design. There is substantial evidence that oxidized LDL is present in vivo within atherosclerotic blood vessels.26,27 Probably, circulating oxidized LDL derives, at least in part, from rupture of atherosclerotic plaques. Thus, elevated levels of oxidized LDL showed a positive correlation with the severity of acute coronary events.28 Because acute coronary syndrome and related conditions were excluded in our study, this could explain the similar levels of oxidized LDL in both groups. Interestingly, Cipollone et al29 previously reported highly elevated urinary 8-iso-PGF2
measured in patients with unstable angina, supporting the important role of oxidative stress in a worse scenario than investigated in our study.
In conclusion, our findings introduce 8-iso-PGF2
as a new risk marker in the field of cardiovascular disease. 8-iso-PGF2
was identified as an independent and cumulative risk marker of CHD together with diabetes mellitus, arterial hypertension, hypercholesterolemia, and elevated CRP. The case-control design used in our study does not allow us to show the value of 8-iso-PGF2
for predicting future coronary events. Therefore, we initiated a cohort study to evaluate 8-iso-PGF2
as a risk factor for coronary events.
| Acknowledgments |
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| Footnotes |
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