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J Am Coll Cardiol, 2006; 47:1005-1011, doi:10.1016/j.jacc.2005.09.063
(Published online 8 February 2006). © 2006 by the American College of Cardiology Foundation |







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* Division of Cardiology, University of Kansas School of Medicine, Wichita, Kansas
Division of Cardiology, Emory University School of Medicine, Atlanta, Georgia
Department of Biochemistry, Emory University School of Medicine, Atlanta, Georgia
Centers for Disease Control and Prevention, Atlanta, Georgia
Manuscript received March 31, 2005; revised manuscript received September 13, 2005, accepted September 26, 2005.
* Reprint requests and correspondence: Dr. Arshed A. Quyyumi, Emory University School of Medicine, 1364 Clifton Road NE, Suite F606, Atlanta, Georgia 30322. (Email: aquyyum{at}emory.edu).
| Abstract |
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BACKGROUND: Oxidative stress is an important etiologic factor in the pathogenesis of vascular disease. We hypothesized that oxidative stress would predict early atherosclerosis in a relatively healthy population.
METHODS: One hundred fourteen healthy non-smokers, without known clinical atherosclerosis, had carotid intima-media thickness (IMT) measured using ultrasound. Oxidative stress was estimated by measuring plasma levels of: 1) glutathione (GSH), an important intracellular antioxidant thiol, its oxidized disulfide form (GSSG), and their redox state (Eh GSH/GSSG), and 2) cysteine (Cys), an important extracellular antioxidant thiol, its oxidized disulfide form cystine (CySS), and their redox state (EhCys/CySS).
RESULTS: The univariate predictors of IMT were age, body mass index, low-density lipoprotein cholesterol, triglycerides, high-density lipoprotein cholesterol, high-sensitivity C-reactive protein (hs-CRP), and Framingham risk score. Intima-media thickness was also higher in males and hypertensive subjects. Among the oxidative stress markers, GSH (r = 0.39, p < 0.0001), CySS (r = 0.18, p = 0.049), and Eh GSH/GSSG (r = 0.34, p < 0.0002) correlated with IMT. After adjusting for traditional risk factors and hs-CRP, only Eh GSH/GSSG remained an independent predictor of IMT. Eh GSH/GSSG predicted IMT in a manner that was both independent of and additive to Framingham risk score.
CONCLUSIONS: Glutathione redox state (Eh GSH/GSSG), an in vivo measure of intracellular oxidative stress, is an independent predictor for the presence of early atherosclerosis in an otherwise healthy population. This finding supports a role for oxidative stress in the pathogenesis of premature atherosclerosis, and its measurement may help in the early identification of asymptomatic subjects at risk of atherosclerotic disease.
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Recent studies have demonstrated that quantification of the major intracellular and extracellular aminothiol compounds can be readily obtained from plasma, and provide a measure of in vivo oxidative stress (8,9). Intracellularly, glutathione (GSH) is a major antioxidant that helps eliminate peroxides and other oxidants (10). The oxidized disulfide form of GSH, GSSG, is formed during the reaction of glutathione peroxidase with hydrogen peroxide, or by a direct reaction of GSH with peroxynitrite and other oxidants. Glutathione released into plasma can be reliably measured, along with GSSG, as a marker of oxidative stress. Exposure to oxidative chemicals such as paraquat has been shown to be associated with decreased GSH levels and increased GSSG levels (11). The steady-state balance of GSH and GSSG can be expressed as the redox state (Eh) of the GSH/GSSG couple, calculated using the Nernst equation (12). Prior work suggests that the redox state of the plasma GSH/GSSG couple shows little variation, i.e., one SD of 9 mV (13), but there is evidence for progressive oxidation with aging after age 45 years (1416). Increased oxidation of about 20 mV is associated with type 2 diabetes (16), high-dose chemotherapy (17), and cigarette smoking (18,19).
Glutathione is synthesized from cysteine (Cys), glycine, and glutamate, with Cys availability often being the rate-limiting factor (20). The predominant form of Cys in the plasma is the oxidized disulfide form, cystine (CySS), and the Cys/CySS redox state, Eh Cys/CySS, is calculated using the Nernst equation (13). Prior studies suggest that the Cys/CySS pool is an important antioxidant pool in human plasma (13), and can modulate cellular events including cell proliferation rate in culture medium (21,22) and resistance to apoptosis (23). The Eh Cys/CySS (about 80 mV) is considerably more oxidized than plasma Eh GSH/GSSG (about 140 mV) (13), and the latter is intermediate between tissue GSH/GSSG and plasma Cys/CySS redox. Recent experimental data suggest that intracellular proatherogenic events and cell adhesion are modulated in part by extracellular thiol/disulfide redox state (24).
We hypothesized that increased oxidative stress, estimated by measurement of the redox state of thiols, will predict early atherosclerosis, measured as carotid intima-media thickness (IMT) in healthy non-smoking subjects who are free from cardiovascular disease. The magnitude of common carotid IMT is a reliable surrogate measure of early sub-clinical atherosclerosis (25). It is also an important predictor of underlying carotid plaque, coronary atherosclerosis, and future cardiovascular events (26,27). Several studies have shown that even small changes in IMT during intervention are correlated with significant changes in the rates of future adverse cardiovascular events (28).
| Methods |
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After routine physical examination, blood samples were drawn after an overnight fast and stored at 80°C. Plasma levels of total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides, glucose, and hemoglobin A1c were measured. High-sensitivity C-reactive protein was measured by immunonephelometry (Dade Behring, Deerfield, Illinois). Institutional review board approval from Emory University and the Centers for Disease Control and Prevention was obtained before the study.
Measurement of thiol and disulfide forms of glutathione and cysteine and their redox state. The detailed procedures for the measurements of blood GSH and Cys have been previously described (13,14). Samples were collected directly into specially prepared tubes containing a preservative to reduce auto-oxidation, and centrifuged; the supernatant was frozen at 80°C. Samples were analyzed using high-performance liquid chromatography with fluorescence detection of damsel derivatives to quantitate GSH, GSSG, Cys, and CySS concentrations in plasma. On the basis of GSH and GSSG concentrations, Eh GSH/GSSG was calculated, and similarly, based on Cys and CySS concentrations, the Eh Cys/CySS was calculated using the Nernst equation. Eh GSH/GSSG and Eh Cys/CySS were expressed in mV, with higher (less negative) values being indicative of higher levels of oxidative stress.
Measurement of carotid IMT. Common carotid artery IMT was measured using ultrasonography and standard techniques (25,26). Longitudinal images of the distal 1.0 cm of both common carotid arteries, proximal to the carotid bulb were obtained using multiple scanning angles. The images were stored digitally, and measurements were made off-line using a semi-automated computerized analytical software (Carotid Tools, MIA Inc., Iowa City, Iowa), by two observers blinded to the test results. Average values of the IMT of each of the four segments of the distal 1.0 cm of both common carotid arteries (right near and far walls, and left near and far walls) were used as the IMT values for each subject. Inter-observer variability for carotid IMT was 0.03 ± 0.02 mm between measurements made in 20 subjects by 2 observers. Intra-observer variability was 0.02 ± 0.02 mm between 2 measurements made 1 week apart on 10 subjects.
Statistical considerations. Results are presented as mean ± SD for continuous variables and as proportions for categorical variables. Age, body mass index (BMI), hs-CRP, LDL, HDL, total cholesterol, and triglyceride levels were used as continuous variables. Hypertension, diabetes mellitus, smoking history, family history of coronary artery disease (CAD), and gender were taken as categorical variables. The presence of diabetes was defined as a fasting glucose level of >126 mg/dl or hemoglobin A1c of >7%. Hypertension was defined as elevated systolic (>140 mm Hg) or diastolic (>90 mm Hg) blood pressure on three separate measurements. On the basis of their IMT measurements, subjects were divided into four groups for analysis: those with IMT <0.5 mm, >0.5 to 0.6 mm, >0.6 to 0.7 mm, and >0.7 mm. Linear trends were then assessed across the groups. Unadjusted linear regression and multivariate adjusted linear regression analyses were performed to ascertain whether any subject characteristics, presence of conventional risk factors, or markers of oxidative stress were independent determinants of IMT (S-Plus version 6.0.3, Insightful Corporation, Seattle, Washington). Separate multivariable models were run for each of the oxidative stress markers. Oxidative stress markers were divided into tertiles, and trends across the mean IMT were compared. The difference between the mean IMT for the various groups was assessed using the two-tailed Student t test. Only p values <0.05 were considered significant.
| Results |
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IMT and traditional risk factors.
Baseline clinical characteristics of the subjects, divided into four groups on the basis of their IMT (IMT
0.5 mm, 0.51 to 0.60 mm, 0.61 to 0.70 mm, and >0.7 mm), are shown in Table 1. Significant univariate correlations were evident between IMT and increasing age (r = 0.57, p < 0.0001), BMI (r = 0.35, p = 0.0002), LDL cholesterol (r = 0.19, p = 0.04), triglycerides (r = 0.28, p = 0.002), and lower HDL cholesterol (r = 0.23, p = 0.01). Intima-media thickness was also significantly higher in males (IMT 0.64 vs. 0.59 mm, p = 0.02), and hypertensives (IMT 0.70 vs. 0.60 mm, p = 0.02). There was also a trend towards higher IMT in subjects with a prior smoking history (IMT 0.66 vs. 0.60 mm, p = 0.07) or elevated total cholesterol (r = 0.18, p = 0.06). There was no difference in IMT in subjects with and without a family history of premature atherosclerosis. Interestingly, when the definition of family history was modified to include family members with coronary heart disease irrespective of age at onset, then a family history was associated with a higher IMT (IMT 0.63 vs. 0.60 mm, p = 0.05). The traditional risk factors accounted for 45% of the observed variability in carotid IMT (r2 = 0.45, p < 0.001). The relationship between IMT and Framingham risk score was also assessed. There was a significant correlation between Framingham risk score and IMT (r = 0.43, p < 0.0001). After multivariate analysis that included all risk factors and hs-CRP in the analysis, age (p < 0.0001), gender (p = 0.01), and BMI (p = 0.03) remained independent predictors of IMT.
IMT and markers of oxidative stress.
The relationships between markers of oxidative stress and IMT are shown in Figures 1 and 2
and in Table 2. Linear regression analyses demonstrated significant correlations between carotid IMT and GSH, EhGSH/GSSG, and CySS, indicating that a higher level of oxidative stress was associated with increasing IMT (Fig. 1, Table 2). Similarly, increasing IMT also correlated with higher hs-CRP level (Fig. 1, Table 2). Figure 2 demonstrates the unadjusted relationship between carotid IMT and Eh GSH/GSSG with subjects divided into equally sized tertiles.
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0 or >0), those with low oxidative stress and low Framingham risk score had the lowest IMT, whereas subjects with both high levels of oxidative stress and high Framingham risk score had the highest IMT. Subjects with either high oxidative stress or high IMT had intermediate IMT (p = 0.01 for trend and p < 0.0001 for high-risk vs. low-risk group) (Fig. 3).
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| Discussion |
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We reasoned that no matter which risk factors were causative, they would lead to atherosclerosis by promoting increased oxidative stress in the vasculature. This was confirmed by the observation that the Framingham risk score correlated with the GSH redox. Moreover, when several thiol markers of oxidative stress were evaluated, carotid IMT was independently predicted by the GSH redox that predominantly measures intracellular oxidative stress, but not by the cysteine redox that predominantly measures extracellular oxidative stress. Eh GSH/GSSG remained predictive of early atherosclerosis even after adjusting for the presence of traditional risk factors and inflammation measured as hs-CRP level. In addition, Eh GSH/GSSG appeared to predict IMT in a manner that was both independent of and additive to the predictive value of the Framingham risk score. Thus, for any given Framingham risk score, IMT was greater in those with increased oxidative stress and vice versa. When we specifically excluded subjects with modifiable risk factors, Eh GSH/GSSG remained a significant predictor of IMT. Importantly, these observations illustrate the potential etiologic role of oxidative stress in the pathogenesis of atherosclerosis in patients without traditional modifiable risk factors.
This is the first demonstration of a direct relationship between this measure of oxidative stress and atherosclerosis. A prior study has shown a relationship between GSH levels in adolescent males and parental atherosclerosis (32), and a correlation between vascular endothelial function and the markers GSH, GSSG, and GSH/GSSG ratio was reported in patients with chronic renal failure (33). Another recent study measured red cell levels of glutathione peroxidase 1 (GPx-1), a ubiquitous intracellular enzyme that uses GSH to reduce hydrogen peroxide, lipid peroxides, and peroxynitrite. A lower level of red-cell GPx-1 activity was associated with increased cardiovascular events (34). Similarly, the functional variants of the GPx-1 gene were associated with increased IMT and risk of macrovascular disease in a group of Japanese type 2 diabetic patients (35). These studies together with our observations provide additional evidence supporting the biologic importance of GSH-based antioxidant systems in development of both early vascular disease and late cardiovascular complications. Other markers of oxidative stress have also been evaluated previously, but their predictive value for detection of early atherosclerosis has been variable. Tsimikas et al. (36) recently demonstrated a relationship between oxidized LDL and CAD, and a recent study demonstrated that patients with CAD had higher oxidized LDL compared with age-matched control subjects (7). However, the Atherosclerosis Risk In Community study (37) showed no relationship between IMT and either LDL susceptibility to oxidation, or auto antibodies against oxidized LDL. Although some studies have found urinary isoprostanes to be associated with risk factors for atherosclerosis and predictors of coronary disease (6,38), others have failed to confirm any relationship between isoprostanes and IMT (39), indicating that isoprostanes may not be good predictors of early atherosclerosis. Finally, Drueke et al. (40) reported a relationship between advanced protein oxidation products and IMT in patients with end-stage renal disease, and others have demonstrated an inverse relationship between IMT and the antioxidant lycopene (41) and antioxidant vitamin levels (37,42).
Unlike most of the other studies mentioned above, our study evaluated a relatively healthy low-risk population with a mean Framingham risk score of 0, in which 90% of the subjects were between 30 and 55 years of age and were current non-smokers, and the vast majority was free of traditional risk factors. Our data confirm the heterogeneity of the oxidative process in the bloodstream and tissues that can affect vascular health and function. It is likely that a panel of markers that includes these and others will be required for disease prediction. As these oxidant mechanisms affect a diverse number of intracellular and extracellular compartments, it has become clear in this study that specific pools of markers of oxidative stress are needed to capture the full picture. The process is further complicated because some potential markers of oxidative stress that can be measured in the blood may not reflect vascular oxidative stress, but rather represent oxidant injury in other organ systems (4348).
The prediction of IMT by inflammatory biomarkers such as hs-CRP has been tested previously. Although the results vary by the population studied, it appears that after adjustment for traditional risk factors, there is often a weak or insignificant correlation between hs-CRP and carotid IMT (4952). In our study, CRP was a univariate predictor of IMT but was not independently predictive of IMT after adjustment was made for all the traditional risk factors. Moreover, the addition of hs-CRP to the analysis did not affect the predictive value of novel oxidative stress marker Eh GSH/GSSG.
Study limitations. The study, by nature of its cross-sectional design, demonstrates a correlation between a marker of early atherosclerosis and oxidative stress, but does not establish causality. The observed correlation between the marker of oxidative stress and atherosclerosis may imply either that oxidative stress is a precipitating factor for development of atherosclerosis, or that atherosclerosis causes elevation of these markers. Moreover, we were unable to study the relationship between these markers of oxidative stress and temporal progression of atherosclerosis or occurrence of future cardiovascular events. These issues need to be further addressed in other populations, including those with more advanced disease. The study also cannot conclusively prove that oxidant stress measured by these markers reflects changes in the arterial wall exclusively.
Conclusions. Plasma glutathione redox (Eh GSH/GSSG), a marker of oxidative stress, may be helpful in identifying healthy individuals at risk for early atherosclerosis, independent of traditional risk factor assessment and presence of inflammation. Identifying at-risk individuals with elevated oxidative stress from a relatively healthy low-risk population may allow earlier targeting of specific therapy, with the ultimate aim of reducing future adverse outcomes. This study adds to the growing body of evidence supporting the relationship between oxidative stress and atherosclerosis in humans.
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