CLINICAL RESEARCH: STATINS AND HYPERCHOLESTEROLEMIA
The Influence of Pravastatin and Atorvastatin on Markers of Oxidative Stress in Hypercholesterolemic Humans
Bonnie Ky, MD*,
Anne Burke, MD*,
Sotirios Tsimikas, MD ,
Megan L. Wolfe, BS*,
Mahlet G. Tadesse, ScD*,
Philippe O. Szapary, MD*,
Joseph L. Witztum, MD ,
Garret A. FitzGerald, MD* and
Daniel J. Rader, MD*,*
* Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania
University of California San Diego, La Jolla, California.
Manuscript received September 28, 2007;
revised manuscript received January 24, 2008,
accepted January 29, 2008.
* Reprint requests and correspondence: Dr. Daniel J. Rader, University of Pennsylvania, 421 Curie Boulevard, Room 654 BRB, Philadelphia, Pennsylvania 19104-6160. (Email: rader{at}mail.med.upenn.edu).
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Abstract
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Objectives: The aim of this study was to determine the effects of pravastatin and atorvastatin on markers of oxidative stress in plasma.
Background: Hydroxymethylglutaryl coenzyme A reductase inhibitors reduce low-density lipoprotein cholesterol (LDL-C) and cardiovascular risk, but their effects on circulating biomarkers of oxidative stress are not well-defined.
Methods: Hypercholesterolemic subjects (n = 120, ages 21 to 80 years with LDL-C 130 to 220 mg/dl) were randomized in a double-blind, parallel design to pravastatin 40 mg/day (prava40), atorvastatin 10 mg/day (atorva10), atorvastatin 80 mg/day (atorva80), or placebo. At baseline and 16 weeks, urinary isoprostanes (8, 12-iso-iPF2 -VI isoform), plasma lipoprotein-associated phospholipase A2 (Lp-PLA2), Mercodia oxidized LDL (OxLDL) with antibody 4E6, oxidized phospholipids/apolipoprotein B-100 particle (OxPL/apoB) with antibody E06, immunoglobulin (Ig)G/IgM autoantibodies to malondialdehyde (MDA)-LDL, and apolipoprotein B (apoB)-immune complexes (IC) were measured.
Results: After 16 weeks, there were no significant changes in urinary 8, 12-iso-iPF2 -VI. The Lp-PLA2 and OxLDL were reduced in statin-treated groups, but after adjusting for apoB, only prava40 led to a reduction in Lp-PLA2 (–15%, p = 0.008) and atorva10 to a decrease in OxLDL (–12.9%, p = 0.01). The OxPL/apoB increased 25.8% (p < 0.01) with prava40 and 20.2% (p < 0.05) with atorva80. There were no changes in MDA-LDL autoantibodies, but significant decreases in IC were noted.
Conclusions: This study suggests that statin therapy results in variable effects on oxidative stress markers in hypercholesterolemic subjects. Future outcome studies should collectively assess various oxidative markers to define clinical utility.
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Abbreviations and Acronyms
| | atorva10 = atorvastatin 10 mg/day | | atorva80 = atorvastatin 80 mg/day | | CHD = coronary heart disease | | ELISA = enzyme-linked immunosorbent assay | | HDL-C = high-density lipoprotein cholesterol | | IC = immune complexes | | LDL-C = low-density lipoprotein cholesterol | | Lp(a) = lipoprotein(a) | | Lp-PLA2 = lipoprotein-associated phospholipase A2 | | MDA = malondialdehyde | | OxLDL = oxidized low-density lipoprotein | | OxPL = oxidized phospholipids | | OxPL/apoB = oxidized phospholipids onapolipoprotein B-100 particles | | prava40 = pravastatin 40 mg/day | | TC = total cholesterol |
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Hydroxymethylglutaryl coenzyme A reductase inhibitors (statins) are highly effective at reducing plasma levels of low-density lipoprotein cholesterol (LDL-C) and significantly decrease cardiovascular risk (1). The concept that statins have other cellular effects not directly related to low-density lipoprotein (LDL) lowering has been gaining increasing attention (2). One of the proposed pleiotropic effects of statins is a reduction of oxidative stress. In vitro tissue culture studies have demonstrated that statins reduce reactive oxygen species generation (3,4). Animal studies have suggested that statins decrease vascular reactive oxygen species production independent of cholesterol reduction (5–7).
Well-controlled human studies addressing this hypothesis are less common. One study suggested that statin therapy reduced ex vivo platelet reactive oxygen species production (8). An uncontrolled study in hypercholesterolemic subjects treated with atorvastatin 10 mg/day for 12 weeks indicated that atorvastatin reduced plasma levels of nitrotyrosine and other myeloperoxidase-derived and nitric oxide-derived markers (9). Smaller studies have suggested that statin therapy might reduce the urinary excretion (10) or plasma levels of the isoprostane 8-iso-IPF2 -III (11).
Several important questions remain regarding the impact of statins on oxidative stress. First, many of the aforementioned studies were not well controlled and require confirmation with rigorous methodology. Second, the question of statin dose-response on oxidative stress has not been addressed. Indeed, the TNT (Treating to New Targets) trial demonstrated that coronary heart disease (CHD) patients randomized to atorvastatin 80 mg daily had fewer cardiovascular events than those treated with atorvastatin 10 mg (12), indicating a dose-response with regard to clinical outcome. A similar dose-response with regard to oxidative stress would help support this as a mechanism of benefit. Finally, equivalent doses of statins have never been compared with each other in a human study with regard to effects on oxidative stress. The clinical trials REVERSAL (Reversal of Atherosclerosis With Aggressive Lipid Lowering) (13) and PROVE-IT (Pravastatin or Atorvastatin Evaluation and Infection Therapy) (14) compared pravastatin 40 mg to atorvastatin 80 mg and suggested that the latter was more effective with regard to inhibition of coronary atheroma progression as well as reduction in clinical events. A comparison of these statins at the same doses and their effects on oxidative stress would be of substantial interest.
We performed a randomized, parallel-arm, double-blind, placebo-controlled trial of pravastatin 40 mg and 2 different doses of atorvastatin, 10 mg and 80 mg, with the aim of assessing oxidative stress with a diversified repertoire of biomarkers.
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Methods
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Subjects.
One hundred twenty healthy subjects, between the ages of 21 and 80 years, with a baseline LDL-C between 130 and 220 mg/dl on no lipid-lowering therapy were recruited. Approval from the Institutional Review Board was obtained. Participants were recruited through the University of Pennsylvania Health System and local advertising from January 2001 to June 2002. Exclusion criteria included exposure to cholesterol-modulating drugs and supplements within the previous 6 weeks, known CHD, diabetes or fasting glucose >126 mg/dl at the screening visit, significant renal or hepatic disease (alanine aminotransferase [ALT] or aspartate aminotransferase [AST] >1.5 x the upper limits of normal), triglycerides >500 mg/dl, familial hypercholesterolemia, and pregnant or lactating women.
Study design.
The screening visit consisted of a questionnaire, fasting blood work, and an electrocardiogram. Eligible subjects were asked to return 7 to 14 days after the initial visit for a pretreatment visit (Fig. 1). Seven to 10 days after this, patients returned for randomization in a 1:1:1:1 scheme to either receive pravastatin 40 mg/day (prava40), atorvastatin 10 mg/day (atorva10), atorvastatin 80 mg/day (atorva80), or placebo. Study assessments took place after 8 and 16 weeks of therapy. Data obtained at each subsequent visit included fasting blood work, 12-h urine collection, adverse event reporting, and study medication return to assess compliance. Laboratory analyses of blood work included complete chemistry and lipid analyses and assessment of biomarkers.
Laboratory measurements.
Lipid parameters were analyzed from ethylenediaminetetraacetic acid plasma collected after a 12-h fast in a Centers for Disease Control–standardized lipid laboratory. Plasma total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and triglyceride (TG) levels were measured enzymatically on a Cobas Fara II autoanalyzer (Roche Diagnostic Systems Inc., Branchburg, New Jersey) with Sigma reagents (Sigma Chemical Co., St. Louis, Missouri). The LDL-C and very-low-density lipoprotein cholesterol levels were determined after ultracentrifugation at a density of 1.006 g/ml. Apolipoprotein B (apoB) was measured with Wako reagents (Wako Pure Chemical Industries, Ltd., Osaka, Japan).
Concentrations of oxidized LDL (OxLDL) were assayed with the noncompetitive Mercodia immunoassay, which uses an antibody that was obtained after immunization of mice with copper-oxidized LDL (15), and primarily detects malondialdehyde LDL (MDA-LDL). The intra- and interassay coefficients of variation (CV) for this assay were 10% to 15%. The lipoprotein associated phospholipase A2 (Lp-PLA2) was measured with an enzyme-linked immunoassay from Diadexus (16) with intra- and interassay CV that were 10%. The assays for the oxidized phospholipids (OxPL) on apoB-100 (OxPL/apoB), immunoglobulin (Ig) G, and IgM immune complexes (IC/apoB) and MDA-LDL were performed at the University of California at San Diego. The content of OxPL/apoB was measured by chemiluminescent enzyme-linked immunosorbent assay (ELISA) with the murine monoclonal antibody E06, which binds to the phosphorylcholine headgroup of oxidized but not native phospholipids (17–19). Equal numbers of apoB-100 particles are captured from each plasma sample and the content of oxPL is normalized for apoB-100 in each subject. The "apoB" measure depicted in the denominator of the oxPL/apoB ratio is not the plasma apoB-100 level but represents the amount of apoB-100 captured on each microtiter well. Chemiluminescence ELISAs were used to measure IgG and IgM autoantibodies to MDA-LDL and IgG and IgM apoB-100-immune complexes (apoB-IC) (17–19). All oxPL values are expressed as relative light units (RLU) measuring the emission of light over 100 ms with the chemiluminescent ELISA. The CV for OxPL/apoB and autoantibody titer assays were 6% to 10% (19) and for apoB 2.4% (20). Lipoprotein(a) [Lp(a)] was measured with monoclonal antibody LPA4 as previously described; the intra- and interassay CV were 3.6% to 6.3% (20).
The data for OxPL/apoB were analyzed and presented as previously described (17–19). The OxPL/apoB and IC/apoB quantifies the content of OxPL and IC on each captured apoB-100 particle. Total apoB-IC reflects the IC content on all apoB-100–containing particles in the plasma. This value is obtained by multiplying the ELISA IC/apoB values (in relative light units) by the plasma apoB-100 levels.
8, 12-iso-iPF2 -VI, the most abundant isoprostane detected in human urine, was measured as previously described (21). Total lipids from urine were extracted with ice-cold Folch solution, chloroform/methanol (2:1, volume/volume). After removing aliquots for phospholipid measurement, the organic phase was dried under nitrogen. The samples were hydrolyzed by the addition of aqueous potassium hydroxide (KOH) (15%), and 8, 12-iso-iPF2 -VI was measured with an O18 labeled internal standard in a selected ion monitoring assay based on tandem mass spectrometry. The measurements were normalized to milligrams of urinary creatinine and expressed as ng/mg creatinine (Cr). The intra- and interassay CV ranged from 2.3% to 5.4% (22).
All safety labs were measured with standard methods at the Hospital of the University of Pennsylvania clinical laboratory.
Statistical analysis.
Student paired t tests were used for within group comparisons, and 1-way analysis of variance (ANOVA) was used for between group comparisons for normally distributed variables, such as TC and LDL-C. Comparisons between groups were performed with ANOVA with the Bonferroni correction to adjust for multiple comparisons. Non-normally distributed variables, such as urinary 8, 12-iso-iPF2 -VI, were analyzed with Wilcoxon signed-rank tests for within group comparisons and Kruskal-Wallis tests for between group comparisons. Baseline and 16 week values were also log transformed, and ANOVA was used for between group comparisons. Medians were calculated, and interquartile ranges (IQRs) were also analyzed. Multivariable linear regression models were developed to assess the relative changes in isoprostane levels across treatment groups, with relative change defined as the difference in 8, 12-iso-iPF2 -VI at week 16 and baseline divided by the baseline value, to account for baseline differences. Adjustments were made for gender, smoking, and exercise.
Linear regression models were fit to assess the effects of treatments on the percent change in various lipid markers. The effects of the 3 treatment arms were assessed relative to the percent changes in the placebo group. The placebo group was used as the reference, and 3 indicator variables were introduced for each of the treatment arms. Because the percent changes in many of these lipid markers are related to percent changes in LDL-C and apoB, adjusted models that corrected for these factors were fit.
This study was designed to detect a 20% difference in 8, 12-iso-iPF2 -VI between the prava40 and placebo group. Analyses were performed in STATA 8.0 (Stata Corp., College Station, Texas).
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Results
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Baseline characteristics and study completion.
After the 4-week dietary run in, 120 patients were randomized to 1 of 4 treatment groups as shown in Figure 1. The baseline characteristics of participants are shown in Table 1. There were no significant differences across the 4 arms. Over the course of the study, there were 3 drop-outs from the placebo group, 6 from the prava40, 1 from the atorva10, and 4 from the atorva80 group (p = 0.22). The reasons for withdrawal were primarily for personal (6 of 14) or technical reasons (4 of 14), although 4 were for side effects.
Lipid parameters.
There were no significant differences in baseline lipid values among the groups. The placebo group had no significant changes in plasma lipids. As expected, all statin-treated groups experienced significant reductions in TC, LDL-C, apoB, and non–HDL-C (Table 2). Specifically, atorva80 reduced LDL-C by 42% compared with 31% in the atorva10 and 26% in the prava40 groups. There were no statistically significant differences between the prava40 and atorva10 groups in any of the lipoprotein parameters measured.
All 3 statin doses resulted in a significant increase in Lp(a) levels, ranging from 12% to 26%, as has been noted previously (17,23). There was also a small increase in the placebo group, perhaps due to a diet effect, as was also noted previously (Table 2) (24).
Urinary 8, 12-iso-iPF2 -VI.
At baseline and 16 weeks, there was no significant difference in the log transformed excretion of the F2 isoprostane across the 4 treatment groups (p = 0.08 and 0.47, respectively) (Table 3).
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Table 3 Median Urinary 8, 12-iso-IPF2 -VI Isoprostane Levels at Baseline and After 16 Weeks of Statin Therapy and Summary of Relative Changes
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When multivariable linear regression models were used to assess the effects of treatment group on the relative change in urinary 8, 12-iso-iPF2 -VI, there was no significant effect by treatment (r2 = 0.03, p = 0.36). When the model was refitted with individual adjustments for gender (r2 = 0.04, p = 0.47), smoking (r2 = 0.05, p = 0.30), and exercise (r2 = 0.03, p = 0.53), there was again no effect by treatment group. When the analysis was stratified by subjects with baseline levels above the median (>3.39 ng/mg Cr) as well as those in the highest quartile (>4.86 ng/mg Cr), potentially reflecting those subjects with a higher degree of oxidant stress, there remained no significant effect.
Oxidized LDL (Mercodia assay).
There were no significant differences in baseline OxLDL, with the median OxLDL ranging from 84 to 93 mg/dl (p = 0.84) (Fig. 2A). After 16 weeks, all statin-treated groups experienced a reduction in OxLDL (p < 0.001 for overall differences). The corresponding percent changes in OxLDL were: 3.7% for placebo, –22.5% for pravastatin, –32.4% for atorva10, and –36.3% for atorva80 (p < 0.001 for all variables except placebo, p = 0.30). In multivariable linear regression analysis, this change was still significant in the atorvastatin-treated groups after accounting for the percent change in LDL-C (–16.9% and –15.2% difference for atorva10 [p = 0.003] and atorva80 [p = 0.02], respectively). However, only the percent change in atorva10 (–12.9%) remained statistically significant after apoB changes were considered (p = 0.01).

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Figure 2 Changes in OxLDL, Lp-PLA2, and ApoB-100 After Statin Therapy
(A) Changes in oxidized low-density lipoprotein cholesterol (OxLDL) after statin therapy as measured by the Mercodia assay. Mean Mercodia OxLDL (antibody 4E6) levels (mg/dl) at baseline and 16 weeks in placebo-, pravastatin 40 mg/day (prava40)-, atorvastatin 10 mg/day (atorva10)-, and atorvastatin 80 mg/day (atorva80)-treated groups. (B) Changes in lipoprotein-associated phospholipase A2 (Lp-PLA2) mass after statin therapy. Mean Lp-PLA2 mass (ng/ml) at baseline and 16 weeks in placebo-, prava40-, atorva10-, and atorva80-treated groups. (C) Changes in apolipoprotein B-100 particle (apoB-100) after statin therapy. Mean apoB-100 levels (mg/dl) at baseline and 16 weeks in placebo-, prava40-, atorva10-, and atorva80-treated groups.
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Lp-PLA2.
Both pravastatin and atorvastatin led to significant decreases in Lp-PLA2 mass (Fig. 2B). All 3 therapies led to an approximate 20% decrease in this parameter after 16 weeks of therapy. In the placebo group, there was a nonsignificant 4% increase. However, Lp-PLA2 mass correlated strongly with LDL-C and apoB levels, and when changes in LDL-C were accounted for, only atorva10 and prava40 remained significant, with an approximate 14% decrease (p = 0.02 for both). When changes in apoB were accounted for, only the decrease in Lp-PLA2 mass for subjects treated with prava40 remained statistically significant with a 15% reduction (p = 0.008). Figure 2C demonstrates the corresponding changes in apoB levels, which show similar trends to changes in OxLDL and Lp-PLA2.
OxPL/apoB assay.
There were no statistically significant differences in OxPL/apoB at baseline. However, after 16 weeks of statin therapy, significant increases were noted across the 3 groups (p = 0.005 by ANOVA), with prava40 demonstrating a 25.8% mean percent increase from baseline (p < 0.01) and atorva80 demonstrating a 20.2% increase in OxPL/apoB (p < 0.05), which were statistically significant. No significant changes were noted in atorva10 (+8.0%, p > 0.05) or placebo (–2.1%, p > 0.05) (Fig. 3A). In the statin-treated groups, Lp(a) increased significantly in parallel with OxPL/apoB: prava40 (26%, p < 0.001), atorva10 (12%, p < 0.001), atorva80 (26%, p = 0.005) (Fig. 3B).

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Figure 3 Changes in OxPL/apoB and Lp(a) After Statin Therapy
(A) Changes in oxidized phospholipids/apolipoprotein B-100 particle (OxPL/apoB) after statin therapy. Mean percent change in OxPL/apoB levels (antibody E06) after 16 weeks in placebo-, prava40-, atorva10-, and atorva80-treated groups. (B) Changes in lipoprotein(a) [Lp(a)] after statin therapy. Mean percent change in Lp(a) after 16 weeks in placebo-, prava40-, atorva10-, and atorva80-treated groups. Abbreviations as in Figure 2.
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Autoantibodies to MDA-LDL and apoB immune complexes.
There were no statistically significant differences in MDA-LDL autoantibodies or IC formation at baseline. After 16 weeks of statin therapy there were no significant changes in IgG or IgM autoantibodies to MDA-LDL or IgG or IgM IC/apoB (Fig. 4). However, all 3 statin-treated arms led to a trend in reduction in total apoB-IC content (Fig. 5). Total apoB-IC IgG decreased by 12% with 10 mg of atorvastatin therapy (p = 0.02) and 22% with atorva80 (p < 0.001) as compared with baseline. Atorva80 also led to a statistically significant reduction in the total apoB-IC IgM (30%), as did prava40 (18%) (p < 0.001 for both). This was driven by changes in apoB levels in the statin-treated groups.

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Figure 4 Changes in IC/apoB and MDA-LDL Autoantibodies After Statin Therapy
Mean percent change in immune complex (IC)/apoB formation and immunoglobulin (Ig)G and IgM malondialdehyde (MDA)-LDL autoantibodies after 16 weeks in placebo-, prava40-, atorva10-, and atorva80-treated groups. Abbreviations as in Figure 2.
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Correlation between markers of oxidative stress at baseline.
Mercodia OxLDL correlated strongly with apoB (r2 = 0.56, p < 0.001) and LDL-C (r2 = 0.46, p < 0.001) at baseline (Table 4). There was a slight inverse correlation between total apoB-IC IgG and IgM with LDL and apoB as well as between IgM and OxLDL, which were all on the order of r2 = –0.20 (p = 0.03 for LDL and total apoB-IC IgG, apoB and total apoB-IC IgM; p = 0.04 for remainder).
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Table 4 Correlation (r2) Between Baseline Levels of Lipoproteins and Associated Parameters and Markers of Oxidative Stress
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Correlation between changes in markers of oxidative stress after statin therapy.
Changes in Mercodia OxLDL strongly correlated with changes in apoB (r2 = 0.76, p < 0.001), LDL-C (r2 = 0.68, p < 0.001), and Lp-PLA2 (r2 = 0.48, p < 0.001). Changes in Lp-PLA2 correlated strongly with changes in apoB (r2 = 0.44, p < 0.001) and LDL-C (r2 = 0.47, p < 0.001). Changes in OxPL/apoB did not correlate with changes in LDL-C (r2 = –0.14, p = 0.16) and had slight inverse correlations with changes in Mercodia OxLDL (r2 = –0.23, p = 0.02), Lp-PLA2 (r2 = –0.24, p = 0.017), and apoB (r2 = –0.22, p = 0.03) (Table 5). A strong correlation was also noted between changes in OxPL/apoB and Lp(a) (r2 = 0.62, p < 0.0001).
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Table 5 Correlation (r2) Between Changes in Levels of Lipoproteins and Associated Parameters and Markers of Oxidative Stress After Statin Therapy
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Discussion
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In this study of hypercholesterolemic subjects, we found that statins reduced LDL-C and non–HDL-C as expected but had variable effects on levels of several distinct biomarkers of oxidative stress. In this relatively small study, these markers did not provide a consistent reflection of an antioxidant effect of statins.
Isoprostanes, when measured by sensitive and specific methodology based on mass spectrometry, are believed to be very sensitive and reliable measures of lipid peroxidation in vivo (22,25,26). They are generated in situ by the nonenzymatic oxidation of an unsaturated fatty acid at the sn2 position of phospholipids. Once formed through the action of phospholipase, free isoprostanes are transported in the plasma and excreted in the urine. Importantly, although indirect indexes of lipid peroxidation, they are chemically stable anylates (26). They are elevated in states of increased oxidative stress, including tobacco use, hypercholesterolemia, and CHD (27–30). In both animal models and in humans, antioxidant treatment has been shown to decrease elevated isoprostane levels (31,32). Levels of F2 isoprostanes (iPF2 -IV) are increased in the urine and aortic tissue of atherosclerotic animals, including apoE and LDL receptor-knockout mice (32). In the BOSS (Biomarkers of Oxidative Stress Study) trial, carbon tetrachloride was administered to rodents and the time- and dose-dependent effects on biomarkers of oxidative stress were measured. Plasma and urinary isoprostanes proved to be both valid and sensitive measures of oxidative stress in this study (33). In humans, isoprostanes as identified by immunohistochemistry were significantly elevated compared with controls in the atherosclerotic plaques of carotid and coronary arteries (26,34,35). The most abundant F2 isoprostane reported in human urine is 8, 12-iso-IPF2 -VI. Simvastatin has been shown to decrease excretion of a less abundant isoprostane, IPF2 -III, also known as 8-iso-PFG2 , in a small study of vascular disease patients; this decrease correlated highly with LDL reduction (10). Another study also reported that serum IPF2 -III was depressed by simvastatin (36). However, these studies used less-specific immunoreactive approaches directed at a less-abundant compound that, unlike 8, 12-iso-IPF2 -VI, can be formed as a product of cyclooxygenase enzymes as well as an isoprostane (26). Thus, given the choice of anylate, methodology, and sample size, these results are not conclusive of an impact of simvastatin on lipid peroxidation.
There are several possible explanations for the lack of change in isoprostane excretion in our study. The most likely is that statin therapy did not suppress lipid peroxidation in this population. We have previously reported that antioxidant vitamins suppress isoprostanes and other markers of lipid peroxidation in vivo only when endogenous antioxidant defenses are depleted, as reflected by elevated levels of these biomarkers (37). It is possible that an impact of statins might have been evident in a population with more advanced atherosclerotic disease.
In spite of the study randomization, the distribution of smokers varied across the 4 treatment arms, with a greater proportion in the placebo arm (p = 0.43). As is well known, controlled studies have demonstrated that isoprostane generation is elevated in a dose-dependent fashion in cigarette smokers (29,30). However, when multivariable linear regression models were adjusted for disparities in smoking in the current study, there remained no significant difference in the relative change of isoprostanes across groups. Our modest sample size might also have limited our ability to detect statistically significant differences in isoprostane generation in response to statins.
The Mercodia OxLDL assay based on the antibody 4E6 seems to detect MDA-modified apoB (15). Oxidized LDL has been identified by immunohistochemistry to be increased in plaques of coronary arteries of hypercholesterolemic swine (38). There are 2 versions of this assay, a standard and competition assay. Several studies have demonstrated a strong correlation between Mercodia OxLDL assay and LDL-C but with a concern for cross reactivity (39,40). In a recent study, this assay lost its predictive value for cardiovascular events when statistical adjustment for apoB levels was performed (41). Tsouli et al. (42) reported an increase in OxLDL levels when plasma samples were enriched with nonoxidized LDL, suggesting that this assay also detects apoB. In our study, the observed reduction in OxLDL correlated highly with reductions in apoB, with only a modest reduction (–12.9%) in the atorva10 group remaining statistically significant after adjusting for apoB. These data are consistent with prior studies that have shown a direct correlation with reduction in Mercodia OxLDL and changes in apoB levels at baseline and in response to statins (39,43,44). Other studies with MDA-LDL assays using different platforms suggest that statins might reduce MDA-modified LDL levels, but these were of small scale and did not adjust for LDL or apoB (45,46).
The E06 antibody is a murine monoclonal antibody that specifically binds to the phosphorylcholine head group of oxidized phospholipids. The E06 assay does not measure OxLDL per se but the content of OxPL/apoB. A strong correlation exists between OxPL/apoB and Lp(a), primarily owing to the fact that Lp(a) is the main carrier of OxPL in humans (47,48). Thus, OxPL/apoB is also a novel biological measure of Lp(a). The assay is set up to capture all apoB particles from plasma equally with antibody MB47 and then measure OxPL on apoB. It is highly sensitive to the number of OxPL epitopes present on individual particles. The OxPL/apoB levels have been demonstrated to be elevated in acute coronary syndromes, immediately after percutaneous coronary interventions, and in patients with hypertension (18,19,49). Levels have also been shown to be predictive of the presence of coronary disease and peripheral vascular disease (50,51). The Bruneck study, a population-based study of adult men and women, demonstrated that increasing tertiles of OxPL/apoB were significantly associated with increasing hazard ratios of incident cardiovascular events, such as myocardial infarction, stroke, and transient ischemic events (20). Thus, OxPL/apoB seems to serve as a valid measure of cardiovascular disease and risk. Future studies will address whether increases in OxPL/apoB will predict clinical outcomes in therapeutic trials.
In all studies performed to date, including this one, a statistically significant increase in OxPL/apoB has been observed in response to diet or treatment with atorvastatin or pravastatin without a concomitant increase in plasma apoB levels (17,23,24). Although this might seem like a paradoxical finding, because elevated levels of OxPL/apoB are associated with the presence of atherosclerosis, this might represent early regression of disease. For example, during dietary regression induced by switching animals from a high- to low-cholesterol diet, the plasma OxPL/apoB ratio increased significantly, even in animals deficient in Lp(a), whereas the content of OxPL in atherosclerotic plaques essentially disappeared (52). This suggests that during early atherosclerosis regression, the increase in OxPL/apoB levels in plasma might reflect a beneficial effect of diet and perhaps statins on the vessel wall.
In animal models, autoantibodies to OxLDL reflect the underlying atherosclerotic process. A strong correlation has been demonstrated between MDA LDL autoantibody levels and urinary 8, 12-iso-IPF2 -VI and atherosclerotic lesion area (53) and with progression and regression of atherosclerosis (54). However, in humans, the data are inconsistent. One showed a decrease in autoantibody levels in coronary disease, whereas other studies in hypercholesterolemic children treated with pravastatin or adult hypertension patients treated with fluvastatin showed no effect or mixed results in patients treated with rosuvastatin (23,55–57). Overall, it does not seem that autoantibodies to OxLDL reflect a consistent effect of statins.
Lipoprotein-associated phospholipase A2 catalyzes the hydrolysis of platelet activating factor (PAF) as well as the cleavage of oxidized phospholipids containing an sn-2 polyunsaturated fatty acyl residue, which are formed during the oxidative modification of LDL (58). Secreted by inflammatory cells, Lp-PLA2 circulates in the plasma bound primarily to LDL (80%), with a small portion also bound to HDL (20%). Lipoprotein-associated phospholipase A2 is believed to be proatherogenic and proinflammatory; levels of Lp-PLA2 have also been shown to have a strong association with cardiovascular risk, as demonstrated in the West of Scotland Coronary Prevention and Atherosclerosis Risk in Communities Studies (59,60). In these studies as well as others (61,62), the reduction in Lp-PLA2 was highly associated with changes in LDL-C. This is not unexpected, because in patients without high Lp(a) levels LDL-C carries most of the Lp-PLA2 mass and activity. However, on an equimolar basis, Lp(a) carries more Lp-PLA2 mass and activity than LDL-C (63). It was recently demonstrated, in support of this relationship, that Lp-PLA2 activity potentiated the increased risk of death and cardiac events that was associated with elevated OxPL/apoB or Lp(a) (20).
Study limitations.
Although this is a prospective study and the first to measure all these oxidative biomarkers in the same subset, it is of modest size. These findings will need to be validated in larger studies.
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Conclusions
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In summary, neither pravastatin 40 mg nor atorvastatin 10 mg or 80 mg reduced the urinary excretion of the major isoprostane 8, 12-iso-IPF2 -VI and had variable effects on additional markers of oxidative stress. The results of this study suggest that these distinct biomarkers provide divergent information. Future outcome studies should assess all of the well-accepted oxidative markers in the same dataset, because measuring one particular biomarker might not provide a complete picture of risk or therapeutic effect.
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Footnotes
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This work was supported by grants from Bristol-Myers Squibb, the National Institutes of Health (HL62250 and HL61364), the Clinical and Translational Research Center of the University of Pennsylvania (M01-RR00040), the Fondation Leducq and the General Clinical Research Center, University of California, San Diego, with funding provided by the National Center for Research Resources, M01RR00827, U.S. Public Health Service. Dr. FitzGerald is the McNeill Professor of Translational Medicine and Therapeutics. Dr. Rader is a recipient of a Doris Duke Distinguished Clinical Investigator Award. Steven E. Nissen, MD, MACC, served as Guest Editor for this article.
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References
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