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(Circulation. 2005;111:2981-2987.)
© 2005 American Heart Association, Inc.
Vascular Medicine |
From Molecular Cardiology, Department of Medicine III, J.W. Goethe University, Frankfurt, Germany.
Correspondence to Stefanie Dimmeler, PhD, or Andreas M. Zeiher, MD, Department of Internal Medicine III, Division of Cardiology, J.W. Goethe University, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany. E-mail dimmeler{at}em.uni-frankfurt.de or zeiher@em.uni-frankfurt.de
Received September 7, 2004; revision received December 20, 2004; accepted December 21, 2004.
| Abstract |
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Methods and Results In 120 individuals (43 control subjects, 44 patients with stable coronary artery disease, and 33 patients with acute coronary syndromes), circulating EPCs were defined by the surface markers CD34+KDR+ and analyzed by flow cytometry. Cardiovascular events (cardiovascular death, unstable angina, myocardial infarction, PTCA, CABG, or ischemic stroke) served as outcome variables over a median follow-up period of 10 months. Patients suffering from cardiovascular events had significantly lower numbers of EPCs (P<0.05). Reduced numbers of EPCs were associated with a significantly higher incidence of cardiovascular events by Kaplan-Meier analysis (P=0.0009). By multivariate analysis, reduced EPC levels were a significant, independent predictor of poor prognosis, even after adjustment for traditional cardiovascular risk factors and disease activity (hazard ratio, 3.9; P<0.05).
Conclusions Reduced levels of circulating EPCs independently predict atherosclerotic disease progression, thus supporting an important role for endogenous vascular repair to modulate the clinical course of coronary artery disease.
Key Words: atherosclerosis coronary disease stem cells, endothelial endothelium prognosis
| Introduction |
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Recent studies have identified a population of presumably bone marrowderived cells, called circulating endothelial progenitor cells (EPCs), that can be isolated from bone marrow or circulating, blood-derived, mononuclear cells35; express a variety of endothelial surface markers6; incorporate into sites of neovascularization79; and home to sites of endothelial denudation.1012 Initial clinical studies demonstrated that risk factors for atherosclerosis are associated with reduced levels of circulating EPCs13 and that the functional integrity of the endothelium correlates with the activities of EPCs.14 These observations prompted the hypothesis that circulating EPCs may provide an endogenous repair mechanism to counteract ongoing risk factorinduced endothelial cell injury and to replace dysfunctional endothelium.
Therefore, we investigated whether levels of circulating EPCs correlate with atherosclerotic disease progression to establish a clinically meaningful role of ongoing endogenous endothelial repair mediated by circulating EPCs.
| Methods |
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1.4 mmol/L), impaired left ventricular ejection fraction (<45%), autoimmune or malignant disease, thrombocytopenia (<100 000/L), anemia (hemoglobin <8.5 g/dL), inability to understand the consent form, participation in or consent to participate in another study, previous coronary bypass surgery, severe peripheral arterial occlusive disease, or atrial fibrillation. Forty-three healthy subjects without any evidence of CAD by history and physical examination served as a control group. All study participants gave written informed consent, and the study was approved by the ethics committee of J.W. Goethe University (Frankfurt, Germany).
Definition of Risk Factors for CAD
Hypertension was defined as a history of hypertension for >1 year requiring the initiation of antihypertensive therapy by the primary physician. Smoking was defined as a history of smoking >2 pack-years and/or smoking in the last year. Positive family history of CAD was defined as documented evidence of premature CAD in a close relative (men <55 and women <65 years of age).15 Diabetes mellitus was defined as the need for oral antidiabetic drug therapy or insulin use. We calculated a score giving the risk of an individual subject to develop cardiovascular disease by considering age >65 years, male sex, hypertension, diabetes, smoking, and positive family history of CAD as single cardiovascular risk factors.16
Flow Cytometry
Detection of EPCs was performed as previously described.13 In brief, 100 µL peripheral blood was immunostained with monoclonal antibodies against human CD34 (Becton Dickinson; PerCP conjugated) and against human KDR (Sigma), followed by an PE-conjugated secondary antibody. Isotype-identical antibodies served as controls (Becton Dickinson). After incubation, cells were lysed, washed with PBS, and fixed in 4% paraformaldehyde before analysis of 70 000 events after exclusion of debris and platelets.
To assess the reproducibility of EPC measurements, circulating EPCs were measured twice from the same subjects (n=22) from 2 separate blood samples, revealing a very close correlation (r=0.86, P<0.0001).
Long-Term Follow-Up
Clinical long-term follow-up was performed through a questionnaire sent to patients and telephone contact. All information about potential cardiovascular events was validated by source data, including analysis of coronary angiograms, discharge letters, or charts of hospital stays. Cardiovascular death was defined as death from myocardial infarction or documented sudden death. Unstable angina pectoris was defined as hospitalization for unstable angina pectoris of Braunwald IIB or IIIB. Myocardial infarction was defined as an elevation of creatine kinase serum levels >2 times the upper limit of normal or new ST elevation (>0.1 mV) in
2 leads. Progression of coronary atherosclerosis was defined as the need for coronary revascularization of de novo lesions (percutaneous coronary intervention or bypass surgery) because of documented ischemia.
Statistical Analysis
Data are expressed as mean±SD. Continuous variables were tested for normal distribution with the Kolmogorov-Smirnov test. Not normally distributed continuous variables (age, risk factor score, EPC numbers, extent of disease and high-sensitivity C-reactive protein [hs-CRP]) were compared by the Mann-Whitney U test. Comparisons between groups were analyzed by t test (2 sided) or ANOVA for normally distributed variables with >2 subgroups and by the Kruskal-Wallis test for nonnormally distributed variables. Post hoc range tests and pairwise multiple comparisons were performed with the t test (2 sided) with least-significant-difference adjustment. Comparison of categorical variables was generated by the Pearson
2 test. Multivariate linear regression analysis and nonparametric bivariate correlation (Spearmans rank correlation coefficient) were used to correlate circulating EPC counts with cardiovascular risk factors. To identify independent determinants of EPC numbers, a multivariate linear regression analysis for various cardiovascular risk factors was performed. Cumulative event-free survival was univariately evaluated by Kaplan-Meier analysis (log-rank test). Cox proportional-hazard ratio was used to estimate the relative risk for major adverse cardiac events and the association with identified variables. Hazard ratios (HR) and 95% CIs are given. We considered sensitivity and specificity for the identification of high-risk patients of equal importance. Therefore, in receiver-operating characteristic (ROC) curve analyses, the best prognosticator for event-free survival was considered to be the parameter that gave the highest product of sensitivity and specificity for predicting major adverse cardiac events. Statistical significance was assumed if a null hypothesis could be rejected at P
0.05. All statistical analysis was performed with SPSS, version 11.5 (SPSS Inc).
| Results |
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Determinants of Circulating EPC Levels
Figure 1A shows that control subjects had significantly higher levels of EPCs compared with patients with documented CAD. By univariate analysis for the entire cohort, the classic risk factors of age, hypertension, smoking, and family history of CAD, as well as disease activity and extent of coronary atherosclerotic involvement, were inversely correlated with the number of circulating EPCs (Table 2). Figure 1B and 1C illustrates the inverse relation between age and EPC levels and the reduced EPC levels in subjects with a positive family history of premature CAD, respectively. By multivariate analysis, age and a positive family history of CAD remained the only significant independent predictors of a reduced number of EPCs (Table 3).
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Although we did not detect a significant augmentation of EPCs in patients with ACS, which likely reflects the early blood sampling, we repeated both the univariate and multivariate analyses in the subcohort restricted to control subjects and stable CAD patients (n=87). As illustrated in Table I of the Data Supplement, when patients with ACS were excluded, identical results were obtained with age and family history as the only independent significant predictors for reduced EPC levels. Finally, even with the analysis restricted to the subgroup of healthy control subjects only (n=43), age and a positive family history of premature CAD independently predicted reduced EPC levels (Table II in the Data Supplement), confirming the strong influence of these risk factors on EPC levels.
Circulating EPC levels and Atherosclerotic Disease Progression
The median duration of follow-up was 10.0±12.1 months (range, 1 to 48 months). During follow-up, a total of 11 patients experienced a cardiovascular event (Table 4).
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Patients suffering from a cardiovascular event during follow-up had significantly lower EPC levels at inclusion in the study, with 0.0067±0.0097 per 100 peripheral mononuclear cells (PMNCs) compared with 0.02±0.02 per 100 PMNCs (P<0.05) in patients without a cardiovascular event.
When patients were categorized into quintiles according to EPC levels, those patients in the lowest quintile had a significantly (P<0.05) higher incidence of cardiovascular events during follow-up. To maximize the predictive power of EPC levels, we used ROC curve analysis over the entire dynamic range of EPC numbers to identify the threshold level for EPCs providing the highest predictive value for the occurrence of cardiovascular events during follow-up (Figure 2). Kaplan-Meier analysis revealed a significantly increased incidence of cardiovascular events in those patients with levels of circulating EPCs below the threshold (CD34+KDR+-EPC
0.0038) identified by ROC curve analysis for maximized predictive value (Figure 3). Table 5 illustrates that the crude HR, measured by the Cox proportional-hazard regression model, for suffering a cardiovascular event during follow-up was 6.3 (P=0.003). As expected, the presence of ACS had an impact on prognosis (univariate HR, 2.03; 95% CI, 1.2 to 3.5; P=0.006). However, even when adjusted for disease activity and overall risk factor load for CAD, low numbers of circulating EPCs were associated with a significantly,
4-fold, increased risk of suffering a cardiovascular event during follow-up (Table 5). Thus, the number of circulating EPCs independently predicts atherosclerotic disease progression.
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| Discussion |
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Endothelial cell injury is regarded as the classic stimulus for the development of atherosclerotic lesions.17 Indeed, not only do classic risk factors for atherosclerosis induce endothelial injury, but impaired endothelial function predicts the risk of subsequent cardiovascular events.1821 Ultimately, endothelial damage represents a balance between the magnitude of injury and the capacity for repair. Recent experimental studies suggest that EPCs may contribute to ongoing endothelial repair by providing a circulating pool of cells that can home to denuded parts of the artery after balloon injury10,11 or could replace dysfunctional endothelial cells.14
An impairment of this repair capacity may affect atherosclerotic disease progression. We have previously shown that classic risk factors for atherosclerosis are associated with reduced number and function of circulating EPCs.13 More recently, levels of circulating EPCs were shown to correlate with endothelial vasodilator function,14 cerebral infarction,22 and coronary collateral support in patients with CAD,23 suggesting an important role of circulating EPCs in vascular homeostasis. The present study now documents that the level of circulating EPCs is an independent predictor of future cardiovascular events. Thus, taken together, these findings suggest that circulating EPCs are important for maintaining the functional integrity of the endothelial monolayer and exert important functions of vascular repair of continuous risk factorinduced endothelial injury.
The reduction in circulating EPC number may be secondary to a variety of mechanisms: exhaustion of the pool of progenitor cells in the bone marrow, reduced mobilization, or reduced survival and/or differentiation. The significant inverse correlation between patient age and levels of circulating EPCs reported previously13,14,24 and in the present study may indicate that continuous endothelial damage will lead to an eventual depletion or exhaustion of a presumed finite supply of EPCs.25 In analogy to the lympho-hematopoietic stem cell system in which basal hematopoiesis is maintained in aging but the capacity to react to stress-induced mobilization gradually declines with increased age,26 atherosclerosis-prone apolipoprotein E/ mice exhibit significantly reduced vascular progenitor cells in the bone marrow with increased age.27 Moreover, risk factors for atherosclerosis most likely directly influence the mobilization and survival of EPCs via impairing nitric oxide bioavailability. Indeed, mice deficient in endothelial nitric oxide synthase demonstrate a profound impairment in ischemia- or exercise-induced mobilization of EPCs.28,29 In addition, EPCs derived from high-risk patients become senescent more rapidly,14 a process in part reversible by stimulating the Aktnitric oxide synthase pathway.30,31 Finally, risk factors may modulate the mechanisms that facilitate homing and differentiation of circulating EPCs.32 Thus, it is most likely that risk factors for atherosclerosis synergistically act on a variety of mechanisms that culminate in reduced levels of circulating EPCs. However, the lack of correlation between CRP and circulating EPC levels may indeed indicate that levels of circulating EPCs not only are a marker of an unspecific inflammation but also reflect endogenous vascular repair capacity in the presence of ongoing risk factorinduced endothelial injury. Clearly, the nature of our clinical study does not permit us to dissect the individual components leading to the impaired vascular repair capacity associated with reduced levels of EPCs. In addition, impaired functional activity of the EPCs may further amplify the reduced repair capacity. Indeed, in a subset of our patients, the number of CD34+KDR+-EPCs detected by fluorescence-activated cell sorter analysis correlated closely with the migratory capacity to vascular endothelial growth factor (r=0.47, P<0.01; n=31) and with an EPC culture assay (r=0.46, P<0.02; n=26). Thus, further studies should investigate whether functional properties of EPCs such as migratory capacity or colony forming capacity may provide additional prognostic information in addition to simply measuring the number of circulating EPCs. Likewise, assessing the number of the more immature circulating EPCs, as defined by the surface marker CD133,6 may provide additional mechanistic insights.
In summary, reduced levels of circulating EPCs independently predict future cardiovascular events, thus supporting an important role for endogenous vascular repair to modulate the clinical course of CAD. Importantly, statin33 therapy and physical exercise,29 both of which are known to exert beneficial effects in primary and secondary prevention of atherosclerosis, were recently shown to augment the number and function of EPCs. Thus, monitoring the levels of circulating EPCs as a surrogate biological marker might be specifically useful for identifying novel therapeutic approaches targeted to enhance endogenous vascular repair capacity and thereby modify the progression of cardiovascular disease.
| Acknowledgments |
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| Footnotes |
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The online-only Data Supplement can be found with this article at http://circ.ahajournals.org/cgi/content/full/CIRCULATIONAHA.104.504340/DC1.
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