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The Effect of Smoking on Diagnostic Value of Serum Matrix Metalloproteinase-8 in Acute Coronary Syndrome | OMICS International
ISSN-2155-9929
Journal of Molecular Biomarkers & Diagnosis

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The Effect of Smoking on Diagnostic Value of Serum Matrix Metalloproteinase-8 in Acute Coronary Syndrome

Laura Lahdentausta1*, Timo Sorsa1,2, Pirkko J Pussinen1,2 and Erkki Pesonen3,4

1Institute of Dentistry, University of Helsinki, Finland

2Department of Oral and Maxillofacial Diseases, Helsinki University Central Hospital, Helsinki, Finland

3Skåne University, Sweden

4Department of Paediatrics, Division of Paediatric Cardiology, Skåne University Hospital, Lund

*Corresponding Author:
Laura Lahdentausta
Institute of Dentistry
University of Helsinki, Finland
E-mail: [email protected]

Received date: February 14, 2013; Accepted date: March 20, 2013; Published date: March 23, 2013

Citation: Lahdentausta L, Sorsa T, Pussinen PJ, Pesonen E (2013) The Effect of Smoking on Diagnostic Value of Serum Matrix Metalloproteinase-8 in Acute Coronary Syndrome. J Mol Biomark Diagn S4:002. doi:10.4172/2155-9929.S4-002

Copyright: © 2013 Lahdentausta L, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

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Abstract

Abstract
Background: Smoking has been perceived to increase the levels of carcinogenic and inflammatory mediators
thereby promoting presumably malignant and proinflammatory tissue destruction via activating proteolytic enzymes
such as matrix metalloproteinases (MMPs) and their regulators. We studied the effect of smoking on the diagnostic
ability of serum MMP-8-IFMA and TIMP-1-ELISA analysis to recognize patients with acute coronary syndrome
(ACS).
Methods: The case-control population (n=605) comprised 291 patients with diagnosed acute myocardial
infarction (AMI) or unstable angina pectoris (UAP) and 314 healthy control individuals. The case and the control
group included 55 and 66 smoking subjects, respectively.
Results: Smoking increased the MMP-8, but not the TIMP-1, concentration in both the control and the AMI
group. MMP-8 concentration, and consequently MMP-8/TIMP-1, distinguished the cases from the controls accurately
in the ROC analysis, but smoking decreased the AUCs in every category. The MMP-8 concentration produced an
AUC (95% CI, p-value) for ACS of 0.771 (0.723-0.818, p<0.001) and 0.684 (0.581-0.787, p=0.001) for non-smokers
and smokers, respectively. Similarly, the multivariate logistic regression model indicated that smoking decreased the
association of MMP-8 with ACS. The OR (95% CI, p-value) of MMP-8 for ACS was 8.1 (per ng/ml log-transformed
unit increase, 5.0-13.1, p<0.001) and 2.8 (1.1-7.0, p=0.025) for non-smokers and smokers, respectively.
Conclusions: One of the most important risk factors for ACS, smoking, decreases the diagnostic ability of MMP-
8 concentration and MMP-8/TIMP-1 ratio. This must be taken account if these serum determinations are used as
biomarkers of the risk for cardiovascular diseases.

Keywords

MMP-8; TIMP-1; Acute coronary syndrome; Serum biomarker; Diagnostics; Smoking

Introduction

The atherosclerotic process is driven by a complex interplay of a multitude of risk factors through modulation of inflammatory, lipid, and immune mechanisms [1]. Smoking is perceived as a major cardiovascular risk factor along with diabetes, hypertension and hypercholesterolemia, being responsible for approximately 25% of cardiovascular deaths in USA and Europe [2]. Even environmental tobacco smoke exposure correlates with the magnitude of atherogenic changes in peripheral arteries [3]. Smoking has been regarded to diminish microcirculatory blood flow thereby reducing the oxygen availability in tissues leading to damage [4]. Furthermore, smoking has been considered to increase the amounts of inflammatory mediators such as reactive oxygen species, various cytokines and chemokines and proteolytic enzymes, such as matrix metallo proteinases (MMPs) and elastases in the affected tissues [5]. Thus by generating a circulus vitiosus of proinflammatory mediators, smoking can promote proinflammatory tissue destruction [6]. Smoking also intensifies the oxidative modification of low density lipoproteins (LDL), thereby increasing the atherogenic proinflammatory burden in the arterial wall [7].

MMPs form an enzyme superfamily of at least 23 genetically distinct but structurally related proteases [8]. The delicate balance between MMPs and tissue inhibitors of matrix metalloproteinases (TIMPs) regulates the degradation of extracellular matrix and basement membrane components [9]. Additionally MMPs process non-matrix bioactive substrates such as cytokines, chemokines, cell surface receptors and growth factors exerting potential to regulate immune and inflammatory responses [10]. Thus MMPs can act both surrogate by promoting protective tissue destruction or defensively providing anti-inflammatory shield [11].

Serum and plasma MMP-8 levels together with its major inhibitor TIMP-1 have been demonstrated to reflect disease severity and plaque instability in cardiovascular diseases (CVD) [12]. Our earlier study shows that MMP-8 and MMP-8/TIMP-1 concentrations are increased during ACS [13] and prevalent CVD as well as subclinical atherosclerosis [14]. High MMP-8 predicts all incident CVD events [14,15], but associates especially with CVD death in men with subclinical atherosclerosis in a 10-year follow-up [14]. TIMP-1 concentration is an independent predictor of cardiovascular death in patients with prevalent CVD including coronary artery disease, chronic heart failure, or ACS [13,16,17].

Finding new biomarkers for fatal CVD events is highly important. MMP-8 may be regarded as such, and therefore exploring factors affecting its diagnostic ability is valuable. With this background we studied in case-control setting the effect of smoking on serum MMP-8 and TIMP-1 concentration in ACS.

Methods

Subjects and diagnosis

The inclusion criteria for the whole population (n=605) were age under 80 years and no signs of cognitive intellectual disability. The participants completed a questionnaire on general background characteristics and demographic data. The study complies with the Declaration of Helsinki, and the ethical committee of the Lund University approved it. A written informed consent was obtained from the subjects.

Cases consisted of 291 patients, who were admitted for ACS to the heart intensive care unit in Lund University Hospital between March 1999 and April 2002 as described earlier in detail [13,18]. Acute myocardial infarction (AMI) was diagnosed in 197 individuals and unstable angina pectoris (UAP) in 94. AMI was diagnosed if two of the following criteria were fulfilled: i) typical chest pain lasting over 20 min, ii) ST-elevations followed by T-wave inversion or new Q-waves in the ECG, or iii) an increase in CK-MB to more than twice the upper limit of the normal value. UAP was diagnosed in patients with i) continuous ischemic chest pain, ii) transient or persistent ST-segment depression in the ECG (< 1 mm), and/or iii) elevation of CK-MB (5<CK-MB<10 μg/l) or troponin T (0.05< TNT< 0.10 μg/l).

Control individuals (n=314) were chosen from the same area with the inclusion criteria: i) no history of definite or suspected coronary heart disease or stroke, ii) no operations or chemotherapy within the previous 4 weeks, iii) no medication for diabetes, hypertension, or dyslipidemia, iv) no history of angina i.e. chest pain in any location related to exercise and relieved by rest.

Laboratory determinations

Sera without clot activators were collected from the patients within 24 hours after the diagnosis. From the controls the samples were collected during the home visit made by the research nurse. The laboratory determinations were done on frozen (-20°C) samples. Serum MMP-8 concentrations were determined by a time-resolved immunofluorometric assay (IFMA) [14]. The inter-assay coefficient of variation (CV) was 7.3% (n=28) and detection limit for the assay 0.08 ng/ml. TIMP-1-ELISA (R&D Systems, Minneapolis MN, USA) was performed according to manufacturer’s instructions. The interassay CV% was 8.2% (n=28) and the detection limit 0.08 ng/ml. For calculations of MMP-8 ⁄ TIMP-1 molecular ratios, the concentrations were converted into moles using molecular weights of 65,000 and 28,000 g/mol for MMP-8 and TIMP-1.

Statistics

In characteristics consisting of age, total cholesterol, LDL cholesterol, C-reactive protein (CRP), and blood pressure values were normally distributed and are presented as means with standard deviations (SD). MMP-8 and MMP-8/TIMP-1, which displayed skewed distributions, are presented as medians and inter quartile ranges (IQR). Statistical significance of the differences in these parameters according to smoking status was tested by using nonparametric Mann-Whitney test in each diagnose category. Statistical significance in categorical variables was tested by Chi-square test. Before determining the diagnostic sensitivity and specificity by receiving operating characteristics (ROC), MMP-8 concentrations and MMP-8/ TIMP-1 ratios were log-transformed. C-statistics was produced from the predicted probabilities after adjusting for age and sex. Multivariate logistic regression models adjusted for age and sex were used when determining association of MMP-8 and MMP-8/TIMP-1 levels with ACS separately in smokers and non-smokers. The analyses were done using PASW Statistics version 18.0.

Results

The characteristics of the subjects are presented according to the smoking status in each diagnose class in table 1. The non-smokers were older compared to the smokers; the differences were statistically significant in the ACS groups. The CRP concentrations were higher in the smokers than in the non-smokers both in the control and the ACS groups.

Medians (IQR) of serum MMP-8 concentration and MMP-8/ TIMP-1 molar ratio in each diagnose category are presented in table 2. The smoking control subjects and the AMI patients had higher MMP-8 and MMP-8/TIMP-1 levels compared to the non-smoking subjects. The diagnostic ability of these determinations to distinguish the cases from the controls was analysed by the ROC separately for the smokers and non-smokers (Table 3). The AUCs were clearly higher in all comparisons for the non-smokers compared to the smokers. The diagnostic ability was further tested by C-statistics adjusted for age and sex and comparable results were obtained (Figures 1A and 1B).

Group MMP-8 (ng/ml) MMP-8/TIMP-1 
Median (IQR)
Acutecoronarysyndrome
Non-smokers 117.1 (154.7) 0.34 (0.42)
Smokers 109.5 (213.6) 0.39 (0.84)
Unstableangina 
Non-smokers 91.0 (137.4) 0.32 (0.45)
Smokers 52.1 (44.5) * 0.16 (0.20) *
Myocardialinfarction
Non-smokers 121.3 (147.1) 0.34 (0.42)
Smokers 143.6 (284.4) 0.43 (0.97) ‡
Controls 
Non-smokers 41.3 (61.2) 0.14 (0.21)
Smokers 71.7 (92.0) ‡ 0.25 (0.33) ‡

Table 2: Median serum MMP-8 concentrations and MMP-8/TIMP-1 ratios according to the smoking status.

Group MMP-8 (ng/ml) MMP-8/TIMP-1
Area under the curve (95% CI), p
Acutecoronarysyndrome
All 0.729 (0.692-0.767), <0.001 0.707 (0.668-0.746), <0.001
Non-smokers 0.750 (0.707-0.793), <0.001 0.732 (0.688-0.777), <0.001
Smokers 0.620 (0.518-0.721), 0.024 0.621 (0.520-0.722),0.022
Unstableangina
All 0.668 (0.610-0.726), <0.001 0.660 (0.602-0.719), <0.001
Non-smokers 0.714 (0.652-0.776), <0.001 0.707 (0.643-0.771), <0.001
Smokers 0.330 (0.170-0.490), 0.085 0.341 (0.179-0.503), 0.107
Myocardialinfarction
All 0.757 (0.718-0.797), <0.001 0.729 (0.686-0.770), <0.001
Non-smokers 0.771 (0.723-0.818), <0.001 0.746 (0.696-0.795), <0.001
Smokers 0.684 (0.581-0.787), 0.001 0.684 (0.582-0.786),0.001

Table 3: ROC data of serum MMP-8 concentrations and MMP-8/TIMP-1 ratio for ACS according to the smoking status.

molecular-biomarkers-diagnosis-log-transformed

Figure 1: A and 1B: C-statistics of MMP-8 level and MMP-8/TIMP-1 ratio for ACS separately for smoking and non-smoking subjects. Serum MMP- 8 and TIMP-1 concentrations were determined in a case-control sample (n=605). The molar ratio of MMP-8 and TIMP-1 was calculated and the MMP-8 concentrations were log-transformed. ROC analyses for ACS were performed using predicted probabilities produced by logistic regression models adjusted for age and sex. AUC, 95% CI, and p-values are presented in the figures shown for A) MMP-8 levels and B) MMP-8/TIMP-1 ratio.

Finally, the associations of MMP-8 concentration and MMP- 8/TIMP-1 ratio with ACS were calculated by multivariate logistic regression models separately for the smokers and the non-smokers (Table 4). The associations of both of these determinations were stronger in the non-smoking than in the smoking population.

Oddsratio (95% CI)
Group  logMMP-8 p value logMMP-8/TIMP-1 p value
Acutecoronarysyndrome
All 6.74 (4.51-10.1) <0.001 4.97 (3.42-7.23) <0.001
Non-smokers 8.06 (4.95-13.1) <0.001 6.08 (3.87-9.56) <0.001
Smokers 2.83 (1.14-7.00) 0.025 2.35 (0.98-5.64) 0.056
Unstableangina
All 3.73 (2.24-6.21) <0.001 3.22 (1.98-5.25) <0.001
Non-smokers 5.35 (2.93-9.77) <0.001 4.72 (2.65-8.40) <0.001
Smokers No determined   No determined  
Myocardialinfarction
All 9.00 (5.64-14.4) <0.001 6.18 (4.02-9.49) <0.001
Non-smokers 9.63 (5.45-17.0) <0.001 6.94 (4.10-11.7) <0.001
Smokers 6.77 (2.24-20.5) 0.001 5.46 (1.91-15.6) 0.002

Table 4: Associations of serum MMP-8 concentrations and MMP-8/TIMP-1 ratios with ACS according to the smoking status.

Discussion

In the present study we found that smoking significantly increases the serum MMP-8 concentration in generally healthy subjects and in patients with AMI, thereby jeopardizing its use as a diagnostic tool in ACS. Both the AUCs in C-statistics and the ORs in multivariate logistic regression models for ACS were lower in the smoking subjects compared to the non-smoking population. In contrary, smoking did not have an effect on the TIMP-1 concentration. In our earlier study with the same population, we showed that serum MMP-8 concentration, and consequently its molar ratio with TIMP-1, increased significantly in ACS; the increment was 2.5- and 2.1-fold compared to the healthy controls [13]. Furthermore, high TIMP-1 concentration, which was not associated with prevalent ACS, predicted ACS recurrence and CVD death in the follow-up [13]. Therefore, these determinations could be regarded as useful markers for ACS, and the factors affecting their diagnostic ability need to be explored.

Also known as collagenase-2 or neutrophil collagenase, MMP- 8 belongs to collagenase subgroup of MMPs [19]. MMP-8 can be expressed by a wide variety of cells including neutrophils, macrophages, plasma cells, T-cells, endothelial cells and fibroblasts. Regarding CVD, especially macrophage-associated MMP-8 is increased at rupture sites of abdominal aorta [20,21] which probably is reflected in the serum concentrations of the patients with arterial diseases [22]. Also in myocardial infarction the levels of MMP-8 are significantly elevated at the sites of affected tissue such as atheromas and carotid artery plaques. [12,23] Pathophysiologically, AMI and UAP have similar basic mechanisms; an ischemic attack of the heart muscle. However, a plaque rupture plays an essential role in the mechanism of AMI whereas its role is smaller or non-existent in some cases of UAP. High serum MMP-8 may be considered as a special marker of ACS with plaque rupture in contrast to e.g. CRP, which non-specifically reflects the amount of myocardial cell destruction. Undoubtedly, the well-known inflammatory state caused by smoking [24] was seen in the present study: Especially high mean CRP concentrations were observed in smoking AMI patient category compared to their non-smoking counterparts (46.9 vs. 25.8 mg/l), but a significant difference was also detected between the smoking and non-smoking controls. The CRP concentrations correlate strongly with the MMP-8 concentrations [25].

The smoking ACS patients had higher median MMP-8/TIMP-1 molar ratio compared to the non-smokers. Strangely, smoking UAP patients had significantly lower MMP-8 and MMP-8/TIMP-1 medians compared to non-smoking UAP patients. The low number of smoking UAP patients (n=10) is the probable explanation for these findings; odds ratios were not possible to determine for smoking UAP patients because of the low number of the patient. Associations of serum MMP-8 concentrations and MMP-8/TIMP-1 ratios with ACS were substantially higher in the non-smoking population compared those smoking, and the same trend was seen in the AMI category.

In addition to smoking, several other factors have been implicated to influence serum MMP-8 concentrations. Persons with metabolic syndrome have higher MMP-8 levels even in absence of diabetes or CVD [26]. Furthermore, patients suffering from type 2 diabetes combined with CVD have higher MMP-8 levels compared to nondiabetic patients with CVD [27]. Statins reduce MMP-8 levels [28], thus interfering with the use of MMP-8 in the diagnostics of CVD. When the present patient population was collected, statins were not as widely used as nowadays.

Smoking can eventually disturb considerably the diagnostic value of serum MMP-8 analysis in CVD through several complicated and partly unknown mechanism. Eventually, it is also possible that smoking is such a strong risk factor that it diminishes other parameters in association studies. In conclusion, smoking can significantly disturb the usefulness of serum MMP-8 and MMP-8/TIMP-1 analysis as adjunctive diagnostic tool in CVD.

Acknowledgements

The study was financially supported by grants from the Sigrid Juselius Foundation, the Paulo Foundation and the Helsinki University Central Hospital Research Foundation (EVO).

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