Oxidative Medicine and Cellular Longevity
Volume 2016 (2016), Article ID 5136937, 9 pages
http://dx.doi.org/10.1155/2016/5136937

Research Article

PON-1 Activity and Plasma 8-Isoprostane Concentration in Patients with Angiographically Proven Coronary Artery Disease

Agnieszka Kuchta,¹ Adrian Strzelecki,² Agnieszka Ćwiklińska,¹ Magdalena Totoń,¹ Marcin Gruchała,³ Zbigniew Zdrojewski,² Barbara Kortas-Stempak,¹ Anna Gliwińska,¹ Kamil Dąbkowski,¹ and Maciej Jankowski¹

¹Department of Clinical Chemistry, Medical University of Gdańsk, Marii Skłodowskiej-Curie 3a, 80-210 Gdansk, Poland
²Chair and Clinic of Internal Medicine, Connective Tissue Diseases and Geriatrics, Medical University of Gdańsk, Marii Skłodowskiej-Curie 3a, 80-210 Gdansk, Poland
³First Chair & Clinic of Cardiology, Medical University of Gdańsk, Marii Skłodowskiej-Curie 3a, 80-210 Gdansk, Poland

Received 2 July 2015; Revised 13 August 2015; Accepted 20 August 2015

Academic Editor: Komaraiah Palle

Copyright © 2016 Agnieszka Kuchta et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

The aim of the study was to estimate association of the extent of angiographically proven coronary artery disease (CAD) with plasma 8-isoprostane F2 (8-iso-PGF2α) levels as a reliable marker of lipid peroxidation and serum activity of paraoxonase-1, which demonstrates the ability to protect against lipid oxidation. The study included 105 patients with angiographically documented CAD (CAD+) and 45 patients with negative results of coronary angiography (CAD−). Compared to the control group CAD+ patients were characterized by increased 8-iso-PGF2α levels () and reduced activity of PON-1 towards paraoxon (PONase, ) and phenyl acetate (AREase, ). Univariate correlation analysis indicated that 8-iso-PGF2α concentrations were positively associated with the severity of CAD as evaluated by the Gensini score (, ) while PONase activity (, ) and AREase activity (, ) were inversely correlated with CAD severity. PONase activity and 8-iso-PGF2α concentration remained independent determinant of atherosclerosis severity in multiple linear regression after adjusting for age, gender, smoking habits, hypertension, type 2 diabetes, statin therapy, and HDL-C and TAG concentration ( coefficients −0.267; and 0.368; , resp.). The results suggest that PON-1 activity and 8-iso-PGF2α concentration are associated with the presence and extent of coronary stenosis and may be considered additional markers of coronary artery disease.

1. Introduction

The mechanisms of the onset and development of atherosclerosis are still not entirely resolved although oxidation of lipoproteins seems to be essential to this process [1, 2].

Various biomarkers of lipid peroxidation are recently of great interest not only for highlighting pathological mechanisms, but also for clinical applications as biomarkers. Among them isoprostanes, products of nonenzymatic lipid peroxidation, seem to be particularly valuable. Isoprostanes, specifically 8-iso-prostaglandin F2 (8-iso-PGF2α), are recently indicated as the most valid in vivo lipids peroxidation biomarkers [3, 4] which themselves exert proatherogenic function by means of their vasoconstrictive, platelet-activating, and mitogenic properties [5, 6].

The second biomarker with sustained interest of researchers is the high-density lipoprotein associated enzyme: paraoxonase-1 (PON-1). This enzyme hydrolyzes aromatic carboxylic acid esters, organophosphates, and oxidized phospholipids, simultaneously destroying biologically active lipids in mildly oxidized lipoproteins, thus protecting them against further oxidation [7, 8]. Several lines of evidence suggest that PON-1 has antioxidant and atheroprotective effects. Genetic deletion of PON-1 in animal models of atherosclerosis is associated with increased oxidation of low-density lipoproteins (LDLs), increased macrophage oxidative stress, and increased atherosclerotic lesion size [9–11]. Conversely, overexpression of human PON-1 in transgenic mice results in reduction of aortic lesion size and corresponding decreases in oxidized lipid-protein adduct levels [12, 13]. It has been shown that PON-1 activity is associated with accelerated atherosclerosis [14] but is also affected both by genetic polymorphism and by environmental factors including age, lifestyle, and pharmaceutical intervention [15, 16].

Classically, PON-1 activity in serum is named after the substrate used to monitor enzymatic function, namely, paraoxonase activity (using paraoxon as substrate) and arylesterase activity (using phenyl acetate as substrate). A previous report has shown that the phenotype distinguished on the basis of the paraoxonase-to-arylesterase ratio closely corresponds to a common PON-1 polymorphism: Q (Glutamine) or R (Arginine) at codon 192 [15, 17, 18].

The purpose of this study was to test whether PON-1 activity, assessed by its ability to hydrolyse paraoxon or phenyl acetate, as well as plasma 8-iso-PGF2α concentrations can be used as indicators for atherosclerotic processes in coronary arteries. For this purpose we analyzed the association of plasma 8-iso-PGF2α levels and paraoxonase (PONase) and arylesterase (AREase) activity with the extent and severity of angiographically proven coronary artery disease (CAD) assessed by Gensini score.

2. Methods

2.1. Patients

The study group consisted of 150 patients undergoing coronary angiography for suspected CAD at the Medical University of Gdańsk (Poland). All subjects were in stable condition. None of the subjects had sustained a myocardial infarction within 6 months prior to taking part in the study. Patients with acute coronary syndrome or hepatic or renal disorders were excluded. The study was approved by the Independent Ethics Committee of the Medical University of Gdańsk and all patients gave their informed consent.

2.2. Coronary Angiography

Coronary angiography was performed using the transradial or femoral approaches in all recruits. The severity and extent of coronary atherosclerosis were quantified for each patient using the Gensini score, an assessment with prognostic significance for predicting the incidence of death or other cardiovascular events [19]. The Gensini score was assigned according to a previously described protocol [20]. Patients were divided into two groups: those with CAD (Gensini score ≥1; CAD+) and those without (Gensini score = 0; CAD−) according to angiographic results.

2.3. Laboratory Measurements

Blood samples were obtained between 7 and 8 a.m. on the day of and prior to coronary angiography following an overnight fast. Samples (serum and plasma) were separated after collection by centrifugation at 1000 ×g for 15 min and stored at −80°C pending analysis.

Total cholesterol (TC) and triacylglycerols (TAG) were measured in serum using standard enzymatic colorimetric tests. High-density lipoprotein cholesterol (HDL-C) was determined following precipitation of apolipoprotein B containing lipoproteins; LDL cholesterol level (LDL-C) was calculated using the Friedewald formula.

8-Iso-PGF2α was analyzed in plasma using an enzyme immunoassay kit (Cayman Chemical Company, USA). Data are expressed in pg/mL. The intra- and interassay coefficients of variation were 7.6 and 8.8%, respectively.

Paraoxonase (PONase) and arylesterase (AREase) activity were measured in serum based on paraoxon and phenyl acetate hydrolysis, respectively, according to procedure described earlier [17, 21]. The intra- and interassay coefficients of variation were 4.5 and 6.7%, for the PONase activity assay, and 2.8 and 5.5% for the AREase activity assay, respectively.

2.4. Statistics

All statistical analyses were performed using STATISTICA software, version 10. The Shapiro-Wilk test was used to test the distribution of variables that followed a Gaussian pattern. Continuous variables were expressed as mean ± SD (standard deviation) or medians with 25th and 75th percentiles. Student’s unpaired -test or the Mann-Whitney test was used to assess the differences between two groups. Pearson’s chi-squared test was used to compare categorical variables. Univariate correlations were assessed using standardized Spearman coefficients. Skewed variables, like PONase and 8-iso-PGF2α, were log-transformed to normal distribution for multiple linear regression analysis. Multilinear regression was assessed using standardized β coefficients. values below 0.05 were considered statistically significant.

3. Results

The result of coronary angiography confirmed atherosclerosis in 105 patients; 45 patients received a negative result.

Clinical characteristics of patients with angiographically proven coronary artery disease (CAD+) and patients with negative results from coronary angiography (CAD−) are shown in Table 1. The groups were matched for sex, age, BMI, smoking habit, preexisting hypertension, diabetes, and metabolic syndrome. Statins were being taken by 90% of patients with confirmed atherosclerosis and by 55% in the group with negative results of angiography. Compared to the CAD− group, CAD+ patients had significantly lower mean concentrations of total cholesterol by 14%, LDL cholesterol (LDL-C) by 19%, HDL cholesterol (HDL-C) by 15%, and Apo AI by 12%. Concentrations of triacylglycerols and Apo B were similar in both groups (Table 1).

Table 1: Characteristics of patients with coronary artery disease (CAD+) and patients with negative result of coronary angiography (CAD−).

CAD−

CAD+

value

Gender, M/F
20/25
41/64
0.537

Age (years)
63 ± 10
65 ± 10
0.252

BMI (kg/m²)
27 ± 4
28 ± 5
0.664

TAG (mg/dL)
102 (76–141)
107 (80–136)
0.882

TC (mg/dL)
196 ± 40
168 ± 41
<0.001

HDL-C (mg/dL)
52 ± 13
44 ± 11
<0.001

LDL-C (mg/dL)
125 ± 33
101 ± 37
<0.001

Apo AI (g/L)
1.7 ± 0.3
1.5 ± 0.3
<0.001

Apo B (g/L)
0.84 ± 0.17
0.79 ± 0.24
0.283

Apo B/Apo AI
0.52 ± 0.13
0.54 ± 0.18
0.512

Current smokers (%)
48%
66%
0.053

Diabetes (%)
22%
26%
0.566

Hypertension (%)
68%
79%
0.181

Metabolic syndrome (%)
42%
64%
0.143

Statin therapy (%)
55%
90%
<0.001

Values are presented as mean ± SD or as median (25th and 75th percentiles). Student’s -test; Mann-Whitney test; Pearson’s chi-squared test.

Patients with angiographically proven coronary artery disease, compared to patients with negative results, were characterized by significantly lower PONase activity (median with 25th and 75th percentiles: 123 (93–193) versus 201 (11–272)) and AREase activity (median with 25th and 75th percentiles: 103 (80–123) versus 109 (96–136)) (Figure 1).

(a)

(b)

Figure 1: PONase activity (a) and AREase activity (b) in patients with coronary artery disease (CAD+) and patients with negative result of coronary angiography (CAD−). Values are presented as medians (25–75th percentiles, 5–95th percentiles) and assessed using the Mann-Whitney test.

Figure 2 shows the distribution of paraoxonase (PONase) versus arylesterase (AREase) activity in all study populations. This relationship enabled the extraction of 3 groups (PON-1 phenotypes) of patients with different relative enzyme activity in the two different substrates (PONase versus AREase ratio less than 1.5, between 1.5 and 4.0, and greater than 4.0) as shown in Table 2. The percentages of phenotypes in CAD+ and CAD− participants were similar. In both groups, the PONase versus AREase ratio of most patients was less than 1.5; the smallest number of patients had a PONase/AREase value above 4 (Table 2).

Table 2: PON-1 phenotypes frequencies.

PONase/AREase
<1.5
1.5–4
>4

79
63
8

PONase/AREase
0.8 ± 0.2
2.5 ± 0.5
5.1 ± 0.7

Paraoxonase (PONase) [U/L]
98 ± 33
222 ± 62
465 ± 51

Arylesterase (AREase) [kU/L]
117 ± 22
92 ± 22
92 ± 12

CAD− (%)
42
47
11

CAD+ (%)
57
40
3

CAD+ patients with coronary artery disease and CAD− patients with negative result of coronary angiography; PONase and AREase activity are presented as mean ± SD.

Figure 2: PONase activity towards AREase activity: squares: PONase/AREase < 1.5; triangles: PONase/AREase = 1.5–4.0; and dots: PONase/AREase > 4.0.

Patients with angiographically proven coronary artery disease had significantly higher concentrations of 8-iso-PGF2α compared to patients with negative results (median with 25th and 75th percentiles: 125 (89–173) versus 99 (71–133)) (Figure 3). There was no significant correlation between the activity of PON-1 and plasma 8-iso-PGF2α concentration in both the CAD+ patients and CAD− patients as also in the whole group of studied population. However evaluation of 8-iso-PGF2α concentration according to serum AREase and PONase activity quartiles had shown that the patients with lowest PONase activity have higher 8-iso-PGF2α level compared to the patients with the highest PONase activity (Table 3).

Table 3: 8-Iso-PGF2α concentration according to serum arylesterase and paraoxonase activity quartiles.

Paraoxonase (PONase) [U/L]
Arylesterase (AREase) [kU/L]

Quartile 1
Quartile 2
Quartile 3
Quartile 4
Quartile 1
Quartile 2
Quartile 3
Quartile 4

All subjects

    Range
<98
98–135
135–224
≥225
<87
87–107
107–122
≥123

    8-Iso-PGF2α
    [pg/mL]
134 (130–196)
114 (89–157)
103 (74–146)
104 (69–154)
140 (100–200)
103 (70–162)
117 (74–148)
118 (83–168)

CAD+

    Range
<98
98–123
123–192
≥193
<83
83–103
103–123
≥123

    8-Iso-PGF2α
     [pg/mL]
145 (88–158)
113 (78–161)
112 (88–158)
123 (84–169)
142 (103–205)
122 (89–184)
121 (75–157)
114 (76–168)

CAD−

    Range
<112
112–201
201–271
≥272
<98
98–108
108–130
≥130

    8-Iso-PGF2α
     [pg/mL]
124 (70–170)
92 (49–125)
92 (74–130)
110 (71–137)
133 (80–153)
95 (69–133)
103 (74–119)
92 (72–149)

8-Iso-PGF2α concentrations are presented as median (25th and 75th percentiles); compared with Quartile 1; CAD+ patients with coronary artery disease and CAD− patients with negative result of coronary angiography.

Figure 3: Plasma 8-iso-PGF2α concentrations in patients with coronary artery disease (CAD+) and patients with negative result of coronary angiography (CAD−). Values are presented as medians (25–75th percentiles, 5–95th percentiles) and assessed using the Mann-Whitney test.

Analyzing the impact of traditional risk factor on the PON-1 activity and isoprostane levels we noticed the significant higher 8-iso-PGF2α level in CAD+ patients with hypertension compared to these without hypertension; similarly 8-iso-PGF2α levels were higher in smoking patients relative to nonsmoking patients. We did not observe the impact of diabetes on isoprostane concentrations. However diabetic patients had clearly reduced PONase activity compared to nondiabetic subjects (Table 4).

Table 4: Concentration of 8-iso-PGF2α and PONase and AREase activity in patients with and without traditional risk factors.

8-Iso-PGF2α [pg/mL]
value
Paraoxonase (PONase) [U/L]
value
Arylesterase (AREase) [kU/L]
value

Hypertension/nonhypertension

    All subjects
122 (80–170)/101 (79–137)
0.124
125 (93–202)/186 (104–234)
0.065
105 ± 26/112 ± 24
0.159

    CAD+
134 (94–195)/101 (78–141)
0.045
121 (89–177)/152 (100–233)
0.501
102 ± 20/110 ± 26
0.218

    CAD−
95 (69–138)/112 (80–133)
0.295
183 (99–272)/210 (201–311)
0.484
113 ± 23/114 ± 23
0.841

Diabetes/nondiabetes

    All subjects
120 (74–162)/116 (80–163)
0.894
104 (65–163)/153 (102–240)
<0.001
105 ± 25/108 ± 26
0.827

    CAD+
126 (100–164)/120 (89–178)
0.694
104 (69–176)/125 (99–202)
0.049
102 ± 26/104 ± 23
0.761

    CAD−
110 (71–119)/95 (72–135)
0.293
116 (64–140)/227 (127–306)
0.004
115 ± 25/115 ± 23
0.704

Smoking/nonsmoking

    All subjects
126 (89–178)/113 (70–137)
0.006
123 (93–201)/182 (109–264)
0.012
102 ± 26/112 ± 24
0.044

    CAD+
140 (89–198)/116 (73–141)
0.042
131 (90–225)/119 (88–191)
0.074
99 ± 26/108 ± 24
0.153

    CAD−
117 (90–138)/89 (66–133)
0.223
163 (96–238)/228 (140–300)
0.073
114 ± 20/117 ± 24
0.680

Values are presented as mean ± SD or as median (25th and 75th percentiles). Student’s -test; Mann-Whitney test.

To evaluate coronary artery stenosis and determine the severity of CAD, we used angiography results drawn up on the basis of the Gensini score.

Univariate correlation analysis indicated that 8-iso-PGF2α concentrations were positively associated with Gensini scores (Figure 4(a)), whereas PONase and AREase activity were inversely correlated with the severity of CAD (Figures 4(b) and 4(c), resp.). 8-Iso-PGF2α concentrations and PONase activity remained an independent determinant of atherosclerosis severity in multiple linear regression after adjusting for age, gender, smoking habits, preexisting hypertension, diabetes, statin therapy, and HDL-C and TAG concentration (Table 5).

Table 5: Multiple linear regression analysis for Gensini score.

SE
value

8-Iso-PGF2α
0.368
0.09
<0.001

PONase
−0.267
0.10
0.01

AREase
−0.227
0.79
0.097

: standardized beta coefficients; SE: standard error; adjusted for age, gender, smoking habits, hypertension, type 2 diabetes, statin therapy, and HDL-C and TAG concentration; log-transformed values.

(a)

(b)

(c)

Figure 4: Correlations between Gensini score and (a) 8-iso-PGF2α concentrations, (b) PONase activity, and (c) AREase activity.

4. Discussion

The major finding of our study is the demonstration of decreased activity of PON-1 and increased concentration of 8-iso-prostaglandin F2 in patients with coronary artery disease (CAD) proved by angiography and establishment of the correlation between these factors and the severity of CAD.

Studies on PON-1 activity are based on quantifying its wide range of enzymatic activities in breaking down in vitro substrates such as paraoxon-paraoxonase (PONase) and phenyl acetate-arylesterase (AREase) activity. We have shown a significant reduction of PONase and AREase activity in a group of patients with angiographically proven coronary artery disease (CAD+) compared to patients with negative results of coronary angiography (CAD−) (Figure 1). The reduced activity of PON-1 is consistent with previous reports and confirms suggestions concerning the antiatherosclerotic properties of the enzyme [22, 23]. Moreover, our results show that the correlation between these two types of PON-1 activities is not simple [17]. The presentation of PON-1 activity results as a ratio of paraoxonase to arylesterase activities enables the extraction of three PON-1 phenotypes (Figure 2). The unique relationship between the two PON-1 activity measurements is probably the result of the stronger impact of genetic polymorphism on paraoxonase activity. A previous report has shown that the phenotype distinguished on the basis of the paraoxonase-to-arylesterase ratio closely corresponds to a common PON-1 polymorphism: Q (Glutamine) or R (Arginine) at codon 192 [15, 17, 18]. Several studies have examined the relationship between the PON 192 genotype and cardiovascular disease. Results are not consistent: whereas some have reported a correlation between the PON 192 allele and disease [24, 25], other studies have failed to find a connection, showing at the same time the decreased paraoxonase activity regardless of the PON-1 genotype [20, 26]. In our study, the percentage of phenotypes in the CAD+ and CAD− groups was similar (Table 2), which may support the hypothesis that the polymorphisms influence paraoxonase activity although this is clearly not crucial to the antiatherosclerotic properties of PON-1.

Apart from reduced PON-1 activity, CAD patients also were characterized by increased isoprostane levels (Figure 3). Isoprostanes are a class of biologically active products of arachidonic acid peroxidation that provides a reliable index of lipid peroxidation. Theoretically, a large number of isoprostanes types can be generated, but most interest has focused on F2 isoprostanes and in particular on 8-iso-prostaglandin F2 (8-iso-PGF2α). A previous study suggested increased concentrations of circulating 8-iso-PGF2α in coronary atherosclerosis development [27–30]. Clejan et al. suggested that accelerated isoprostane formation is intensified in CAD and predisposes patients to acute coronary syndrome [31]. Vassalle et al. showed that 8-iso-PGF2α concentrations are higher in CAD patients with multivessel disease compared to patients with single-vessel disease [32, 33]. Gross et al. showed an association between increased concentrations of circulating 8-iso-PGF2α and coronary calcification [30].

Our findings of elevated 8-iso-PGF2α levels in CAD+ patients are in agreement with earlier studies and support the hypothesis that an important role is played by the oxidative process in atherosclerosis.

Angiography, as the gold diagnosis standard for the coronary artery, is used not only to confirm the disease but also to assess the severity of atherosclerotic lesions using, among others, the Gensini score. One of the major discoveries of our study, after assessment of the severity of atherosclerosis using the Gensini score, was that 8-iso-PGF2α levels were positively, and PON-1 activity was negatively, correlated with the severity of coronary artery disease (Figure 4). Although, according to earlier reports [29, 34, 35], we have shown the impact of traditional risk factors for 8-iso-PGF2α concentration and activity of PON-1 (Table 4), PONase activity and 8-iso-PGF2α concentration remained independent determinants of atherosclerosis severity in multiple linear regression after adjusting age, gender, smoking habits, hypertension diabetes, statin therapy, and HDL-C and TAG concentration (Table 3). This confirms the hypothesis that the oxidative processes not only initiate the process of atherosclerosis but are also involved in the progression of the disease [23]. We failed to find simple correlation between paraoxonase activity and 8-iso-PGF2α concentration; however the patients with lowest paraoxonase activity have higher 8-iso-PGF2α level compared to the patients with the highest paraoxonase activity (Table 4), which may confirm, as previously suggested [36], possibility that these two opposing processes responsible for maintaining oxidant-antioxidant balance exert a reciprocal influence on one another.

Elevated levels of triglycerides and decreased levels of HDL are well-documented epidemiological risk factors for cardiovascular disease [37], which confirms the results of our work. However, many studies show that evaluation of HDL quality may have an impact on the prediction of CAD progression similar to the evaluation of numbers of HDL particles by measuring HDL cholesterol [38, 39]. In the development of atherosclerosis, HDL particles can lose their protective properties through changes in the oxidative processes or the loss of parts of molecules. The level of 8-iso-PGF2α, which assesses the severity of oxidant processes and the activity of PON-1, as an enzyme closely linked with HDL particles, can be valuable parameters for estimating the antiatherogenic properties of HDL.

Approximately 90% of the CAD+ study population had undergone statin therapy, which may explain the lower levels of LDL cholesterol and total cholesterol in patients with atherosclerosis compared to the CAD− group, in which 55% of patients had received statin drug therapy.

We did not observe a correlation between Gensini scores on one hand and LDL and total cholesterol level on the other hand. The impact of lipid-lowering therapy on the activity of PON-1 and 8-iso-PGF2α levels remains in question. Although some clinical studies showed that PON-1 activity increased and lipid peroxidation decreased in patients undergoing lipid-lowering therapy, no consensus has been reached [35, 40]. In our study, the small number of patients without statin therapy did not enable us to draw conclusions; however, patients with angiographically proven coronary artery disease, compared to patients with negative results of coronary angiography, were characterized by lower PON-1 activity and higher 8-iso-PGF2α concentration despite a higher percentage of statin users.

In summary, we have shown that oxidative stress plays an important role in the pathogenesis and development of CAD. The present finding suggests that impaired PONase activity and elevated 8-iso-PGF2α can be additional important biomarkers of coronary atherosclerosis development and in the future may be considered a potential pharmacological strategy for reducing CAD and preventing the progression of cardiovascular atherosclerosis.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

This project was supported by the National Science Centre Poland (Grant no. NN 402 523 440) and by the Ministry of Science and Higher Education of Poland, from the quality-promoting subsidy, under the Leading National Research Centre (KNOW) programme for the years 2012–2017.

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