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. Author manuscript; available in PMC: 2013 Sep 15.
Published in final edited form as: Atherosclerosis. 2009 Apr 5;206(2):575–580. doi: 10.1016/j.atherosclerosis.2009.03.032

Association of serum myeloperoxidase with the ankle—brachial index and peripheral arterial disease

Zeenat Ali 1, Paul Sarcia 2, Thomas H Mosley Jr 3, Venkateswarlu Kondragunta 4, Iftikhar J Kullo 5
PMCID: PMC3773523  NIHMSID: NIHMS504777  PMID: 19423112

Abstract

Myeloperoxidase (MPO) is an enzymatic mediator of several inflammatory cascades and higher serum levels have been associated with increased risk of adverse cardiovascular events. We investigated the association of serum MPO with the ankle–brachial index (ABI) and peripheral arterial disease (PAD) in a bi-ethnic cohort of African-Americans and non-Hispanic white individuals. Participants included 1324 African-Americans (mean age 64 years, 71% women) and 1237 non-Hispanic white individuals (mean age 59 years, 57% women) belonging to hypertensive sibships. Serum levels of MPO were measured by solid phase sandwich immunoassay. ABI was measured using a standard protocol and PAD was defined as an ABI < 0.90. Multivariable regression analysis using generalized estimating equations were performed to assess whether serum MPO levels were associated with ABI and the presence of PAD. After adjustment for age and sex, higher MPO levels were significantly associated with lower ABI and the presence of PAD in African-Americans (p = 0.004 and p = 0.005, respectively) and in non-Hispanic white individuals (p = 0.001 and p = 0.016, respectively). After additional adjustment for conventional risk factors (diabetes, smoking status, total and high-density lipoprotein cholesterol, waist circumference, hypertension), prior history of myocardial infarction or stroke, and medication use (statins, aspirin, estrogen), higher MPO levels remained significantly associated with lower ABI and the presence of PAD in both African-Americans (p = 0.008 and p = 0.010, respectively) and non-Hispanic white individuals (p = 0.001 and p = 0.018, respectively). We conclude that higher MPO levels are associated with lower ABI and the presence of PAD in African-Americans and non-Hispanic white individuals.

Keywords: ankle–brachial index, inflammation, myeloperoxidase, peripheral arterial disease

Introduction

Inflammation plays a key role in the development and evolution of atherosclerotic plaque.1 Myeloperoxidase (MPO), an enzyme secreted by activated neutrophils, participates in various inflammatory processes involved in atherosclerosis.2,3 MPO has been implicated in the initiation and progression of atherosclerotic lesions through mechanisms related to its role in low-density lipoprotein (LDL) oxidation,2 consumption of nitric oxide leading to endothelial dysfunction4,5 and generation of numerous oxidative reactants and diffusible free radical species.6 Using immunohistochemistry and mass spectrometry, atherosclerotic plaques have been shown to be abundant in oxidation products generated by MPO.3,7-9 MPO levels are associated with the risk of developing coronary artery disease in apparently healthy individuals,10 with the presence and severity of coronary artery disease,11,12 and are predictive of adverse outcomes in patients presenting with chest pain13 or an acute coronary syndrome.14

Peripheral arterial disease (PAD) is a manifestation of atherosclerosis and affects at least eight million people in the USA.15,16 Prior reports indicate that inflammation plays an important role in the development,17 progression18 and severity19 of PAD. Whether MPO is associated with systemic atherosclerotic burden is not known. We therefore investigated whether serum MPO is associated with the ankle–brachial index (ABI) and the presence of PAD, as defined by ABI < 0.90. Furthermore, we investigated whether any association is independent of plasma C-reactive protein (CRP), a marker of systemic inflammation.

Methods

The study was part of the Proteomic Markers of Arteriosclerosis Study which is investigating the association of markers in various etiologic pathways of vascular disease with several phenotypes of arteriosclerosis.20 Participants were from the Genetic Epidemiology Network of Arteriopathy (GENOA) study, a multicenter, community-based study that aims to identify genetic variants influencing blood pressure (BP) levels and the development of target-organ damage due to hypertension.21 Participants were enrolled if two or more members of a sibship had hypertension before the age of 60 years. If the eligible proband had at least one sibling with hypertension, all available full biologic siblings of the index hypertensive siblings were invited to participate in the study. The only exclusionary criterion at enrollment was the presence of a secondary cause of hypertension (such as documented renal artery stenosis or advanced renal insufficiency) in the index sibs.

The study was approved by the Institutional Review Boards of the University of Mississippi Medical Center; Jackson, MS and the Mayo Clinic, Rochester, MN. Written informed consent was obtained from each participant. The present study included 1324 African-Americans and 1237 non-Hispanic white individuals.

Height measured by stadiometer and weight measured by electronic balance were used to calculate body mass index (BMI; kg/m2). The diagnosis of hypertension was based on participants reporting a prior diagnosis of hypertension and current use of prescription antihypertensive medications, or systolic blood pressure (SBP) of 140 mmHg or higher or diastolic blood pressure (DBP) of 90 mmHg or higher measured at the study visit. Diabetes was considered present if the participant was being treated with insulin or oral hypoglycemic agents or had a fasting glucose level ≥ 126 mg/dl. Ever-smoking was defined as having smoked > 100 cigarettes. Information about the use of medications was obtained from the participants at the time of the study visit.

Blood was drawn by venipuncture after an overnight fast. Serum total cholesterol and high-density lipoprotein (HDL) cholesterol were measured by standard enzymatic methods.

Serum MPO and plasma CRP assays

Serum MPO levels were measured by a solid phase sandwich ELISA (ALPCO Diagnostics, Salem, NH). Intra-assay coefficients of variation (CVs) were 7.4% and 7.4% at 4.1 and 165.6 ng/ml, respectively, and inter-assay CVs were 10.7% and 12.4% at 2.8 and 52.2 ng/ml, respectively. Plasma CRP levels were measured by a highly sensitive immunoturbidimetric assay. Inter-assay CVs were: 14%, 3.2%, 3.4%, and 3.6% at 0.33, 1.05, 9.07, and 23.8 mg/dl, respectively.

Ankle–brachial index (ABI)

At each center, examiners who underwent training in Mayo Clinic’s non-invasive vascular laboratory in Rochester, MN measured the ABI. This identical, standardized protocol was used at both centers. ABI was measured as follows: After a 5-minute rest, participants were evaluated in the supine position. Appropriately sized BP cuffs were placed on each arm and ankle, and a Doppler ultrasonic instrument (Medisonics; Minneapolis, MN, USA) was used to detect arterial signals. The cuff was inflated to 10 mmHg above SBP and deflated at 2 mmHg/s. The first reappearance of the arterial signal was taken as the SBP. To calculate the ABI, the SBP at each ankle site (posterior tibial and dorsalis pedis arteries) was divided by the higher of the two brachial pressures. The lower of the average ABIs from the two legs was used in the analyses. ABI < 0.90 or > 1.4 was used to indicate the presence of PAD. Participants with an ABI > 1.4 (n = 28) may have non-compressible arteries due to medial arterial calcification,22 and were excluded in the linear regression models but included in the logistic regression models as having PAD.

Statistical methods

Continuous data were summarized as either mean ± SD or median and quartiles and categorical data were expressed as percentages (%). Owing to significant differences in age and the proportion of women in the two ethnic groups, differences in characteristics between the two ethnic groups were assessed after adjustment for age and sex. Serum MPO and plasma CRP were log transformed to reduce skewness. Spearman correlations between serum MPO and plasma CRP were calculated in each ethnic group.

Analyses to assess whether serum MPO is independently associated with ABI and PAD were performed separately in each ethnic group. In each ethnic group, multiple regression models were constructed to include age, sex, waist circumference (as a measure of adiposity), history of smoking, diabetes, hypertension, total cholesterol, HDL cholesterol, medication (statin, aspirin, estrogen) use, and previous history of myocardial infarction or stroke. Backward elimination was performed to identify variables independently associated with ABI. Age and sex were forced into all multivariable regression models. Because of the presence of sibships in the sample, regression analyses were performed using generalized estimating equations (GEE).23 We also assessed whether MPO contributed to the prediction of presence of PAD. Models before and after the addition of MPO were compared by calculating the c-statistic from receiver operating characteristic (ROC) curve analyses.

A two-sided p-value of <0.05 was deemed statistically significant. Statistical analyses were carried out using the SAS v 8.2 (SAS Institute, Cary, NC, USA) software package.

Results

Table 1 shows baseline characteristics of the two ethnic groups. African-Americans were significantly older and had higher risk factor burden compared to non-Hispanic white individuals. The proportion of women was higher in both ethnic groups and the majority of participants were hypertensive. Use of statins, estrogen and aspirin was less frequent in African-Americans than their non-Hispanic white counterparts. ABI was lower in African-Americans as compared to non-Hispanic white individuals (p < 0.001). Serum MPO levels were higher in African-Americans than in non-Hispanic white individuals (p < 0.0001). MPO levels were significantly correlated with CRP levels in African-Americans (ρ = 0.260, p < 0.0001) and a weaker correlation was noted in non-Hispanic white individuals (ρ = 0.128, p < 0.0001).

Table 1.

Participant characteristics (n = 2561)

African-Americans (n = 1324)
Non-Hispanic white individuals (n = 1237)
ABI < 0.9
(n = 151)
ABI ≥ 0.9
(n = 1143)
p ABI < 0.9
(n = 55)
ABI ≥ 0.9
(n = 1122)
p
Age, years 69.4 ± 8.5 62.7 ± 9.1 <0.0001 67.7 ± 8.1 58.0 ± 9.9 <0.0001
Men, n (%) 55 (36.4) 320 (28.0) 0.032 24 (43.6) 486 (43.3) 0.963
BMI, kg/m2 30.5 ± 6.9 31.5 ± 6.4 0.059 29.4 ± 6.9 30.9 ± 6.3 0.092
Waist circumference, cm 104.2 ± 13.7 103.2 ± 14.3 0.395 100.2 ± 14.8 100.8 ± 15.9 0.789
Total cholesterol, mg/dl 214.5 ± 45.1 200.4 ± 40.5 0.0001 188.9 ± 36.0 197.1 ± 34.3 0.086
HDL cholesterol, mg/dl 55.2 ± 16.7 58.0 ± 18.5 0.078 49.7 ± 16.3 51.8 ± 15.0 0.306
Systolic BP, mmHg 145.1 ± 25.9 137.7 ± 20.1 <0.0001 138.0 ± 19.8 130.4 ± 16.5 0.001
Diastolic BP, mmHg 76.2 ± 12.2 79.5 ± 10.5 0.0004 70.6 ± 10.1 74.1 ± 9.0 0.005
Previous history of MI or
 stroke
25 (16.6) 95 (8.3) 0.001 12 (21.8) 73 (6.5) <0.0001
Smoking, n (%) 86 (57.0) 436 (38.1) <0.0001 38 (69.1) 545 (48.6) 0.003
Diabetes, n (%) 63 (41.7) 316 (27.6) 0.0004 17 (30.9) 153 (13.6) 0.0004
Hypertension, n (%) 143 (94.7) 888 (77.7) <0.0001 52 (94.5) 798 (71.1) 0.0002
Statin use, n (%) 36 (23.8) 202 (17.7) 0.066 25 (45.5) 321 (28.6) 0.007
Aspirin, n (%) 63 (41.7) 362 (31.7) 0.014 34 (61.8) 452 (40.3) 0.002
Estrogen, n (%) 24 (15.9) 195 (17.1) 0.719 4 (7.3) 263 (23.4) 0.005
MPOa, ng/ml 45.4 ± 29.4 42.8 ± 29.4 0.325 53.7 ± 44.1 34.2 ± 28.9 <0.0001
ABIa,b 0.7 ± 0.2 1.0 ± 0.1 <0.0001 0.8 ± 0.1 1.2 ± 0.1 <0.0001
C-reactive protein, mg/dl 8.1 ± 8.0 5.5 ± 6.1 <0.0001 4.8 ± 6.5 4.2 ± 5.0 0.372

Data are presented as mean ± SD or percentage of study participants.

BMI, body mass index; HDL, high-density lipoprotein; MPO, myeloperoxidase; ABI, ankle–brachial index.

a

In African-Americans, n for MPO and ABI is 1164 and 1294, respectively; in Non-Hispanic white individuals, n for MPO and ABI is 1215 and 1177, respectively.

b

ABI was missing in 30 African-Americans and 60 non-Hispanic white individuals.

In African-Americans, after adjustment for age and sex in linear regression models, higher MPO levels were significantly associated with a lower ABI (p = 0.004). The association remained significant after further adjustment for conventional risk factors (p = 0.008). However, after additional adjustment for plasma CRP, the association of higher MPO levels with lower ABI was of borderline significance (p = 0.094) (Table 2). The results of multivariable logistic regression models were consistent with those of linear regression models. After adjustment for age and sex, higher MPO levels were significantly associated with presence of PAD (p = 0.005). After additional adjustment for conventional risk factors, higher MPO levels remained significantly associated with the presence of PAD (p = 0.01). However, the association was not statistically significant after additional adjustment for plasma CRP (p = 0.193) (Table 3). In ROC curve analysis, the c-statistic for predicting PAD was 0.784 using age, sex and conventional risk factors. After addition of MPO, the c-statistic was essentially unchanged (0.785).

Table 2.

Association of serum myeloperoxidase (MPO) with ankle–brachial index (ABI): linear regression models

African-Americans
Non-Hispanic white individuals
β ± SE p β ± SE p
Model 1 −0.014 ± 0.006 0.019 −0.021 ± 0.006 0.0001
Model 2 −0.017 ± 0.006 0.004 −0.017 ± 0.005 0.001
Model 3 −0.015 ± 0.006 0.008 −0.018 ± 0.005 0.001
Model 4 −0.010 ± 0.006 0.094 −0.017 ± 0.005 0.001

Model 1: Unadjusted.

Model 2: Adjusted for age and sex.

Model 3: Adjusted for age, sex, history of myocardial infarction or stroke, smoking, diabetes, hypertension, estrogen use, waist circumference, total and HDL cholesterol, and statin use.

Model 4: Adjusted for Model 3 variables and C-reactive protein.

Table 3.

Association of serum myeloperoxidase (MPO) with peripheral arterial disease (PAD): logistic regression models

African-Americans
Non-Hispanic white individuals
Odds ratio 95% CI p Odds ratio 95% CI p
Model 1 1.15 0.99–1.34 0.066 1.64 1.19–2.25 0.002
Model 2 1.26 1.07–1.48 0.005 1.48 1.08–2.05 0.016
Model 3 1.24 1.05–1.47 0.010 1.54 1.08–2.19 0.018
Model 4 1.12 0.94–1.34 0.193 1.52 1.06–2.18 0.022

Odds ratios are shown for 1 standard deviation increase in log MPO.

PAD was defined as ABI < 0.9 or >1.4.

Model 1: Unadjusted.

Model 2: Adjusted for age and sex.

Model 3: Adjusted for age, sex, smoking, diabetes, hypertension, estrogen use, waist circumference, total and HDL cholesterol, and statin use.

Model 4: Adjusted for Model 3 variables and C-reactive protein.

In non-Hispanic white individuals, after adjustment for age and sex in linear regression models, higher MPO levels were significantly associated with lower ABI (p = 0.001). The association was robust to additional adjustment for conventional risk factors (p = 0.001) and plasma CRP (p = 0.001) (Table 2). The results of multivariable logistic regression models were consistent with those of linear regression models. After adjustment for age and sex, higher MPO levels were significantly associated with the presence of PAD (p = 0.016). The association remained significant after further adjustment for conventional risk factors (p = 0.018) and plasma CRP (p = 0.022) (Table 3). In ROC curve analysis, the c-statistic for predicting PAD was 0.856 using age, sex and conventional risk factors. After addition of MPO, the c-statistic increased modestly to 0.866.

Discussion

The results of this study demonstrate that higher serum MPO levels are associated with lower ABI and presence of PAD, independent of age, sex, and conventional risk factors. Additional adjustment for plasma CRP, a marker of systemic inflammation, attenuated these associations in African-Americans but not in non-Hispanic whites. The addition of MPO to a model including age, sex, and conventional risk factors, led to a modest increase in the c-statistic for the presence of PAD in non-Hispanic white individuals but not in African-Americans.

The results of several recent studies indicate that MPO plays a key role in the evolution of atherosclerosis, through various mechanisms leading to initiation, propagation and subsequent complications of atherosclerotic plaque formation. MPO-generated reactive species promote oxidation,24,25 lipid peroxidation26 and crosslinking of LDL,27 facilitating uptake by macrophages.2,28 MPO also plays a role in the generation of dysfunctional HDL29-31 and interferes with its capacity to promote cholesterol efflux.32 MPO leads to endothelial dysfunction by serving as an enzymatic sink for nitric oxide, limiting its bioavailability and function.33-35 MPO-derived reactive species contribute to plaque destabilization and rupture by activating various protease cascades that affect the stability and thrombogenicity of plaques.36-38

Several studies have shown an association between circulating levels of MPO and coronary heart disease. In a prospective, nested, case—control study conducted among apparently healthy men and women (n = 1138 for cases and n = 2237 for controls), baseline MPO levels were significantly higher in individuals who developed coronary heart disease during 8 years of follow-up than among those who did not.10 Higher serum MPO levels have been associated with the presence11 and severity12 of coronary artery disease on angiography and are predictive of adverse outcomes in patients presenting to an emergency department with chest pain.13 In the CAPTURE study (a randomized placebo-controlled trial of abciximab before and during coronary intervention in refractory unstable angina, n = 1090), serum MPO was an independent predictor of adverse cardiac outcomes over 6 months of follow-up.14 Brevetti et al.39 demonstrated that in patients with PAD (n = 156), higher serum MPO levels were associated with increased risk of developing myocardial infarction/ stroke.

To the best of our knowledge, the present study is the first to show a cross-sectional association between serum levels of MPO and presence of PAD. Adjustment for conventional risk factors did not attenuate the association, indicating that serum MPO is not strongly associated with such risk factors. Indeed, we confirmed that serum MPO was poorly correlated with age, sex, presence of hypertension/diabetes, plasma lipids and smoking status (analyses not shown). Thus, MPO appears to be an ‘orthogonal’ marker that may have clinical utility in assessing the risk for developing PAD. In ROC curve analyses, there was no increase in the c-statistic for predicting PAD after the addition of MPO to a model that included age, sex, and conventional risk factors in African-Americans and only a small increase in c-statistic in non-Hispanic white individuals. Single markers may not yield a significant increase in the c-statistic and multiple markers may be needed to obtain predictive information that is incremental to conventional risk factors.40,41 Further investigation is needed to assess the utility of MPO in multimarker panels for predicting the risk of PAD.42

A strength of the present study is the inclusion of a large bi-ethnic cohort of individuals from the community. We used uniform protocols in the two ethnic groups including questionnaires, anthropometric measurements, assessment of conventional risk factors, and the MPO assay. Limitations include the cross-sectional nature of the study, making it difficult to make inferences about causality. Confounding by unknown potential causal factors cannot be ruled out. The majority of the study participants were hypertensive and, therefore, the findings may not be generalizable to the entire population and further studies need to be done in normotensives and younger adults.

In conclusion, our study demonstrates an association between serum MPO levels and PAD, a surrogate for systemic atherosclerosis, independent of conventional risk factors. However, the association, although statistically significant, was modest and not independent of plasma CRP in African-Americans. Further investigation is needed to assess whether MPO could serve as a biomarker for future risk of PAD and to identify PAD patients at risk for adverse outcomes.

Acknowledgement

The authors would like to acknowledge Guanghui Liu for help with statistical analyses. This work was funded by grants HL81331 and HL75794 from the National Institutes of Health.

Footnotes

Disclosures

There are no conflicts of interest to disclose.

Contributor Information

Zeenat Ali, Division of Cardiovascular Diseases, Mayo Clinic.

Paul Sarcia, Department of Internal Medicine, Mayo Clinic.

Thomas H Mosley, Jr, Department of Medicine (Geriatrics), University of Mississippi Medical Center.

Venkateswarlu Kondragunta, Division of Cardiovascular Diseases, Mayo Clinic.

Iftikhar J Kullo, Division of Cardiovascular Diseases, Mayo Clinic.

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