Home Matrix Metalloproteinase-9 (MMP-9) and Myeloperoxidase (MPO) Levels in Patients with Nonobstructive Coronary Artery Disease Detected by Coronary Computed Tomographic Angiography
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Matrix Metalloproteinase-9 (MMP-9) and Myeloperoxidase (MPO) Levels in Patients with Nonobstructive Coronary Artery Disease Detected by Coronary Computed Tomographic Angiography

Rationale and Objectives

The aim of this study was to evaluate whether matrix metalloproteinase–9 (MMP-9) and myeloperoxidase (MPO) are elevated in patients with nonobstructive coronary artery disease.

Materials and Methods

Eighty-four patients with nonobstructive coronary artery disease (group A) and 90 patients with no coronary plaques (group B) were enrolled. MMP-9 and MPO levels were compared between the two groups. The relationships between these biomarkers and Framingham risk score were analyzed. Receiver-operating characteristic curves were used to evaluate the ability of these biomarkers to predict the presence of coronary artery plaques.

Results

The MMP-9 and MPO values in group A were significantly higher than in group B ( P < .001). The levels of MMP-9 and MPO showed significant correlations with Framingham risk score ( r = 0.796, P < .001, and r = 0.409, P < .001, respectively). The areas under the receiver-operating characteristic curves for MMP-9 and MPO were 0.80 (95% confidence interval, 0.74–0.87) and 0.74 (95% confidence interval, 0.66–0.81), respectively.

Conclusions

Levels of MMP-9 and MPO are positively correlated with Framingham risk score. Additionally, in patients with nonobstructive coronary artery disease, elevated levels of MMP-9 and MPO may identify patients at risk for future myocardial infarction or sudden cardiac death.

Early reports have revealed that obstructive coronary artery disease (CAD), as identified by coronary computed tomographic angiography (cCTA) and defined by coronary plaques causing ≥50% reductions in luminal diameter, is valuable for the prognosis of individuals at risk for major adverse cardiovascular events . Nevertheless, individuals undergoing cCTA commonly exhibit nonobstructive plaques. Prior invasive ultrasound and autopsy studies have implicated nonobstructive plaques as central to the pathophysiologic processes of sudden cardiac death and myocardial infarction . But percutaneous or surgical revascularization is performed only in patients with >50% luminal stenosis. Nonobstructive plaques cannot be detected by traditional coronary angiography and may be considered normal.

Matrix metalloproteinases (MMPs), a family of structurally and functionally related zinc endopeptidases, degrade extracellular matrix proteins and have been implicated in connective tissue destruction and remodeling . MMP-9, a significant member of the MMP family, has been found to degrade a wide range of extracellular matrix proteins, including gelatin, type IV collagen, and other basement membrane proteins . Increased levels of MMP-9 have been found in human atherosclerotic plaques involved in plaque rupture . Myeloperoxidase (MPO) is the most abundant component of primary azurophilic granules in neutrophils and is promptly discharged after activation by different agonists . First identified within human atherosclerotic plaques nearly a decade ago, MPO has emerged as an important factor in the development and progression of atherosclerotic disease . In clinical studies conducted in patients with acute coronary syndromes, an elevated level of MPO was associated with an adverse prognosis and the occurrence of major cardiovascular events .

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Materials and methods

Patient Recruitment

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Data Acquisition

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Image Analysis

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CAD Risk Assessment

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Biochemical Analysis

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Statistical Analysis

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Results

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Table 1

Baseline Characteristics of the Two Groups

Characteristic Group A Group B_P_ Men 64.3% (54) 63.3% (57) .90 Age (y) 52.68 ± 8.69 53.43 ± 11.29 .44 Body mass index (kg/m 2 ) 25.11 ± 3.68 25.18 ± 3.14 .84 Systolic blood pressure (mm Hg) 144 ± 19 140 ± 17 <.001 Diastolic blood pressure (mm Hg) 86 ± 12 84 ± 10 <.001 Total cholesterol (mmol/L) 6.7 ± 1.2 6.3 ± 1.0 <.001 Low-density lipoprotein cholesterol (mmol/L) 4.3 ± 1.0 3.9 ± 1.0 <.001 High-density lipoprotein cholesterol (mmol/L) 1.5 ± 0.3 1.5 ± 0.4 .93 Diabetes mellitus 13.1% (11) 3.3% (3) <.001 Smoking 44.1% (37) 51.1% (46) .351 Framingham risk score Low risk 14.3% (12) 20.0% (18) .319 Intermediate risk 34.5% (29) 43.3% (39) .234 High risk 51.2% (43) 36.7% (33) .038

Data are expressed as percentage (number) or as mean ± standard deviation.

Table 2

Nonobstructive Plaques in Group A Patients

Location Subjects Percentage Left main coronary artery 0 0 Left anterior descending coronary artery 52 40.6% Proximal 36 28.1% Mid 16 12.5% Distal 0 0 Diagonal branch 0 0 Left circumflex coronary artery 33 25.8% Proximal 20 15.6% Mid 9 7.0% Distal 0 0 Obtuse marginal branch 4 3.2% Right coronary artery 43 33.6% Proximal 30 23.4% Mid 13 10.2% Distal 0 0 Posterior left ventricular branch 0 0 Posterior descending 0 0

Figure 1, Maximum intensity projection (a) and volume-rendering (b) images of a 56-year-old male patient with chest pain. A nonobstructive plaque was found in the proximal left anterior descending coronary artery ( arrow ). In a 54-year-old man, curved planar reformation image shows an obstructive plaque in the right coronary artery (c) . Traditional coronary angiography (d) confirmed the coronary computed tomographic angiographic finding ( arrow ).

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Table 3

Serum Levels of Biomarkers in the Two Groups

Biomarker Minimum 25th Percentile Median 75th Percentile Maximum_P_ Matrix metalloproteinase–9 (ng/mL) Group A 206.10 486.30 592.10 802.20 1178.90 <.001 Group B 142.70 270.20 394.30 490.10 655.30 Myeloperoxidase (ng/mL) Group A 511.30 715.50 953.00 1220.70 1750.70 <.001 Group B 181.95 409.60 554.70 811.40 975.80

Table 4

Serum Levels of Biomarkers in the Two Groups after Adjustment for FRS

Biomarker FRS Group A Group B_P_ Matrix metalloproteinase–9 (ng/mL) Low risk 385.20 ± 104.30 152.50 ± 60.40 <.001 Intermediate risk 575.30 ± 198.90 301.20 ± 113.70 <.001 High risk 969.40 ± 287.30 562.10 ± 201.30 <.001 Myeloperoxidase (ng/mL) Low risk 651.10 ± 274.50 288.20 ± 94.30 <.001 Intermediate risk 1102.30 ± 334.30 683.60 ± 234.80 <.001 High risk 1484.40 ± 446.70 884.20 ± 301.60 <.001

FRS, Framingham risk score.

Figure 2, Comparison of matrix metalloproteinase–9 (MMP-9) (a) and myeloperoxidase (MPO) (b) levels between the two groups. The serum levels of MMP-9 and MPO in group A were significantly higher than in group B.

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Figure 3, Matrix metalloproteinase–9 (MMP-9) (a) and myeloperoxidase (MPO) (b) levels. The serum levels of MMP-9 and MPO showed significant correlations with Framingham risk score (FRS) ( r = 0.796, P < .001, and r = 0.409, P < .001, respectively).

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Figure 4, The areas under the receiver-operating characteristic curves for matrix metalloproteinase–9 (MMP-9), myeloperoxidase (MPO), and the Framingham risk score (FRS) were 0.80 (95% confidence interval [CI], 0.74–0.87), 0.74 (95% CI, 0.66–0.81), and 0.66 (95% CI, 0.58–0.75), respectively. The performance of MMP-9 to predict plaques was significantly better than that of FRS ( z = 2.60, P < .01). No significant difference was found in the performance of MPO and FRS to predict plaque ( z = 1.32, P > .05).

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Discussion

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Conclusions

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Acknowledgments

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