Abstract:
An in vitro method for identifying subjects at risk of heart failure following a Myocardial Infarction comprising analyzing the concentration of Matrix Metalloproteinase-9 in a bodily sample from a subject who has suffered a Myocardial Infarction and comparing this concentration with a reference for concentrations of Matrix Metalloproteinase-9 in individuals who have not suffered a Myocardial Infarction; wherein a raised concentration of Matrix Metalloproteinase-9 in the bodily sample from a subject who has suffered a Myocardial Infarction suggests the subject is at risk of heart failure.

Description:
CROSS-REFERENCE TO RELATED APPLICATIONS 
     The present application is a continuation-in-part of international patent application PCT/EP04/08259 filed Jul. 23, 2004. The present application claims priority to, and benefit of, this application. 
    
    
     FIELD OF THE INVENTION 
     The present invention concerns a method for the detection of a predisposition to develop heart failure in patients with acute myocardial infarction, and also means for preventing the development of such heart failure. The method is qualitative and/or quantitative, and is adaptable to large-scale screening and clinical trials. 
     BACKGROUND 
     Over the last few decades, advances in the management of acute myocardial infarction (MI) have resulted in an impressive 40% reduction in mortality during the acute phase. However, despite these results, the development of late-onset heart failure following MI has not significantly decreased and remains associated with a more than 10-fold elevated risk of death. A better understanding of the factors involved in the development of late-onset heart failure will help to identify high-risk patients more likely to benefit from an intervention (Ref. 1-4). 
     Until recently, the initial laboratory evaluation of patients presenting myocardial infarction consisted entirely of creatine kinase (CK) and troponin measurements. Both are sensitive markers of myocardial injury and there is a reasonably good correlation between levels of CK and size of infarction in the absence of reperfusion. However, both markers are largely affected by a wash out phenomenon during reperfusion, which makes the interpretation of the markers difficult in the setting of thrombolysis and primary angioplasty/stenting, which are now the preferred mode of treatment of the majority of the patients with acute MI. Indeed, the relationship between levels of CK/troponin and the size of infarction or the risk for future cardiac events such as heart failure is inconsistent. 
     Several markers of inflammation such as high-sensitivity C-reactive protein (hs-CRP), soluble CD40 ligand and myeloperoxidase have been found to be independent predictors of death or nonfatal myocardial infarction at 6 months among patients presenting acute coronary syndromes. However, those markers have not been associated with the development of heart failure post MI. B-type natriuretic peptide (BNP) is a cardiac neurohormone that is elevated in response to left ventricular pressure overload. BNP is increasingly being recognized as an important prognostic marker in patients with heart failure and acute MI. The usefulness of BNP determination in the acute phase of MI is limited by rapid fluctuations in peptide levels during the first 24 hours of MI. BNP levels are also affected by numerous co-morbidities such as chronic obstructive lung disease and renal insufficiency. 
     The future management of patients with acute MI receiving reperfusion therapy with thrombolysis or primary angioplasty/stenting requires a strategy to more accurately risk-stratify patients and guide treatment. Accordingly it is an object of the present invention to provide a new technique for identifying subjects at risk of developing heart failure following a MI. 
     SUMMARY OF THE INVENTION 
     According to a first aspect of the present invention there is provided an in vitro method for identifying subjects at risk of heart failure following a Myocardial Infarction comprising analyzing the concentration of Matrix Metalloproteinase-9 in a bodily sample from a subject who has suffered a Myocardial Infarction and comparing this concentration with a reference for concentrations of Matrix Metalloproteinase-9 in individuals who have not suffered a Myocardial Infarction; wherein a raised concentration of Matrix Metalloproteinase-9 in the bodily sample from a subject who has suffered a Myocardial Infarction suggests that the patient is at risk of heart failure. 
     The method further provides an in vitro method for identifying Myocardial Infarction in patients suffering from chest pain or breathing trouble comprising analysing the concentration of Matrix Metalloproteinase-9 in a bodily sample from a subject. Hence, the method may therefore also be used to identify subjects suffering from Myocardial Infarction (MI), wherein a raised concentration of Matrix Metalloproteinase-9 (MMP-9) in the bodily sample suggests that the patient has or is suffering from MI. Conversely, a normal concentration of Matrix Metalloproteinase-9 excludes the presence of a Myocardial Infarction. 
     According to a second aspect of the invention, there is provided a kit for identifying a subject&#39;s risk of developing heart failure following a Myocardial Infarction, the kit comprising:
         (i) means for determining the concentration of Matrix Metalloproteinase-9 in a sample from a subject who has suffered a Myocardial Infarction; and   (ii) a reference corresponding to the concentration of Matrix Metalloproteinase-9 in a sample from an individual who has not suffered a Myocardial Infarction
 
wherein the kit is used to identify a raised concentration of Matrix Metalloproteinase-9 in the sample from the subject who has suffered a Myocardial Infarction compared to the reference concentration thereby suggesting that the subject who has suffered a Myocardial Infarction is at risk of developing heart failure.
       

     According to a third aspect of the invention, there is provided a method of treating an individual having a risk of developing heart failure following a Myocardial Infarction, said method comprising the steps of: (i) determining the concentration of Matrix Metalloproteinase-9 in a sample having been obtained from a subject who has suffered a Myocardial Infarction, wherein a raised concentration of Matrix Metalloproteinase-9 in the bodily sample from the subject who has suffered a Myocardial Infarction compared to the concentration of Matrix Metalloproteinase-9 in a sample from an individual who has not suffered a Myocardial Infarction, suggests the subject who has suffered a Myocardial Infarction is at risk of developing heart failure; and (ii) administering to the subject who has suffered a Myocardial Infarction a therapeutic agent that prevents, reduces or delays progression of heart failure. 
    
    
     
       BRIEF DESCRIPTION OF THE FIGURES 
         FIG. 1  illustrates levels of MMP-2 and MMP-9 determined by gelatin zymography in 109 patients with acute MI, 142 patients with atypical chest pain and normal coronary arteries (No CAD), 135 patients with stable coronary artery disease (stable CAD) and 53 patients with unstable angina (USA). 
         FIG. 2 , Panels A and B illustrates: (A) Time course of MMP-9 levels in acute MI patients after reperfusion; and (B) Distribution of MMP-9 levels in patients with acute MI; showing a biphasic pattern with a larger and a smaller peak. A kernel density procedure was used to evaluate the density at the specified points. 
         FIG. 3  illustrates the relationship between initial MMP levels (log transformed) and the risk, two years following MI, of: (A) developing heart failure NYHA class III-IV; and (B) having ejection fraction &lt;40%. 
     
    
    
     DEFINITIONS 
     Before describing the present invention in greater detail, it is to be understood that this invention is not limited to particular devices, kits, or biological systems, which can, of course, vary. It is also to be understood that the terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting. As used in this specification and the appended claims, the singular forms “a”, “an” and “the” include plural referents unless the content clearly dictates otherwise. 
     Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention pertains. Although any methods and materials similar or equivalent to those described herein can be used in the practice for testing of the present invention, the preferred materials and methods are described herein. In describing and claiming the present invention, the following terminology will be used in accordance with the definitions set out below. 
     Myocardial Infarction (MI) 
     Acute myocardial infarction (MI) is a clinical syndrome in which a significant amount of the heart muscle eventually dies (necrosis). The primary event is an occlusive clot (thrombus) in a diseased coronary artery. If the thrombus is rapidly broken down by drugs (thrombolysis) or percutaneous coronary intervention with balloon angioplasty and stenting, part of the threatened heart muscle can be salvaged. More than 500000 patients are admitted annually in the US alone because of myocardial infarction. A significant proportion (&gt;20%) will develop heart failure. 
     Heart Failure 
     Heart failure is the inability of the pumping heart muscle to meet the metabolic demands of the body. Its commonest cause is myocardial infarction where part of the heart muscle is replaced by scar. After symptoms are severe, 2-year mortality is 50% for patients with heart failure despite optimal medical therapy. 
     Metalloproteinase 
     Matrix metalloproteinases (MMPs) are a family of enzymes which participate in the degradation of extracellular matrix in the heart and other tissues. The extracellular matrix consists of a three-dimensional network of interstitial collagen to which other matrix components are attached. The main physiological function of this network is to retain tissue integrity and function. There are over 20 different MMPs. 
     DETAILED DESCRIPTION 
     The method according to the first aspect of the invention is useful for enabling a clinician to make decisions with regards the best course of treatment for a subject following an acute MI. In addition, the method of the first aspect is useful for monitoring the efficacy of a putative treatment for heart failure following myocardial infarction. Hence, the kit according to the second aspect is useful for providing a prognosis of the subject&#39;s condition, such that the clinician can carry out the treatment according to the third aspect. The kit can also be used to monitor the efficacy of a putative treatment for heart failure following myocardial infarction. The method and the kit are therefore very useful for guiding a treatment regime for the clinician, and to monitor the efficacy of such a treatment regime. 
     The inventor has realized that ventricular remodeling and recurrent MI are probably the most important mechanisms of late-onset heart failure following MI. The inventor has recognized that increased expression and activity of matrix metalloproteinases (MMPs—a family of Zinc dependent neutral metalloendopeptidases) occurs in human and animal hearts during the remodeling process after MI. In particular, peripheral levels of MMP-9 are elevated in patients with heart failure and acute coronary syndromes and targeted deletion of MMP-9 attenuates left ventricular dilation in the infarcted animal heart. The inventor therefore realized that MMP-9 is a useful physiological marker of left ventricular remodeling and heart failure in patients with acute myocardial infarction. 
     The inventor has determined that MMP-9 levels may be measured in patients with acute MI at the time of reperfusion and provide a useful estimate of the 2-year risk (following infarction) of developing left ventricular remodeling and heart failure. 
     Markers, which are currently measured in cardiac research include CPK, Troponin, hs-CRP, and pro-BNP. However, they cannot be used to predict heart failure post infarction because they are affected by the wash out phenomenon during reperfusion (CPK, Troponin). In addition, they are very unstable during the first 3 days post infarction due to transient changes in hemodynamics (pro-BNP). In addition, they are affected by other medical conditions such as infection (hs-CRP), COPD and renal disease (pro-BNP). In addition, most of these markers are analysed by determining their presence (or absence), and very rarely for their actual concentration. Accordingly, it is not possible to determine whether the concentration of these markers is raised or lowered compared to the ‘normal’ concentration in individuals who have not suffered an MI. Furthermore, most of theses markers only show whether there is any inflammatory response following the infarction, and not the ongoing repair process of the heart. 
     The inventor has established that circulating plasma levels of MMP-9 at the time of MI is suggestive of the two year risk of developing heart failure, which is often suffered after infarction, and often causes death. Accordingly, the method according to the first aspect of the invention, in which the concentration of MMP-9 is measured, provides a very reliable prognostic marker for monitoring the remodeling process of the heart, and also provides an indication as to the shape of the heart post infarction. 
     The subject may be any animal of veterinary interest and for whom post-MI management is relevant (for instance cats, dogs, horses etc). However, it is preferred that the subject is a human who has just suffered an MI. 
     Preferably, a sample is taken from the subject, and MMP-9 levels may measured within 1 week of an MI, preferably within 3 days of an MI and more preferably within 24 hours of an MI. 
     The sample may be any bodily sample into which MMP-9 is secreted (e.g. it may be lymph or interstitial fluid). The sample may be a urine sample. However, it is preferred that MMP-9 is measured or assayed in a blood sample. The blood sample may be venous or arterial. Blood samples may be assayed for MMP-9 levels immediately. Alternatively, the blood may be stored in a fridge or even frozen before the MMP-9 assay is conducted. Measurement of MMP-9 may be made in whole blood. However, in preferred embodiments of the invention, the blood may be further processed before an assay is performed. For instance, an anticoagulant, such as heparin, citrate, EDTA, and others may be added. Alternatively, the blood sample may be centrifuged to prepare a plasma or serum fraction for further analysis. 
     It will also be appreciated that “fresh” bodily samples may be analysed immediately after they have been taken from a subject. Alternatively the samples may be frozen (e.g. by dipping fresh samples in liquid nitrogen) and stored. The sample may then be defrosted and analysed at a later date. 
     MMP-9 may be assayed by a number of ways known to one skilled in the art. For example, immunoassays, such as the assays described in WO 00/20860, may be employed to measure MMP-9 levels. MMP-9 may also be determined with Western Blot analysis. Immunoassays and Western blot analyses assess the total protein level of MMP-9. However, neither immunoassays nor Western analysis is able to determine concentrations of the different forms (active or inactive) of MMP-9. 
     Accordingly, total MMP-9 enzyme concentration may be detected by enzyme-linked immunosorbent assay (ELISA), fluorometric assay, chemiluminescent assay, or radioimmunoassay. 
     However, a preferred method of measuring MMP-9 involves zymography analysis, and/or preferably, densitometry analysis (e.g. as described in the Example). With zymography, the concentration of the different forms (active &amp; inactive) of MMP-9 is measured. 
     Zymography may comprise an electrophoresis step, a gel treatment step, and a staining step, and is then preferably followed by densitometry, as described in the Example. Zymography is a quantitative assessment of the concentration of MMP-9 (size of bands), and densitometry is a qualitative assessment of MMP-9 (density of bands). Accordingly, zymography and densitometry generate useful information not possible if using immunoassays or Western blots. 
     The inventor monitored the concentration of MMP-9 in more than 100 patients who had suffered an MI in a long term study (2 years), and compared them to the concentration of MMP-9 in more than 300 individuals who had not suffered from an MI. It will be appreciated that the concentration of MMP-9 in MI patients is highly dependent on how much time elapses between the time of the MI and the time when MMP-9 levels are assayed following MI. It will be appreciated that the concentration of MMP-9 in individuals who had not suffered from an MI does fluctuate to some degree, but that on average over a given period of time, the concentration tends to be substantially constant. 
     The inventor therefore noted that the average concentration of MMP-9 in individuals who had not suffered from an MI was &lt;200 pixels 2  (as calculated using the method described in the Example), which corresponds to about 30 ng/ml. It will be appreciated that this is an average value and that a value falling somewhere between 10% above and 10% below the indicated value may be equally conclusive in the context of the present invention. This is referred to herein as the ‘normal’ concentration of MMP-9 and corresponds to the reference values discussed above. It will be appreciated that reference values may be obtained by assaying control samples (i.e. samples from subjects who have not suffered an MI). Alternatively reference values may be recorded on a data card. Accordingly, the reference (ii) according to the kit of the second aspect of the invention may be a control sample (for assaying) or in the form of a reference data card. 
     In addition, the inventor noted that the concentration of MMP-9 in those individuals who had suffered from an MI was &gt;200 pixels 2  (as calculated using the method described in the Example). This is referred to herein as the ‘raised’ concentration of MMP-9. The inventor noticed that there is a direct relationship between MMP-9 levels and the risk of developing heart failure. The higher the MMP-9 concentration, the higher the risk. Using multivariate analysis, the inventor determined that the cut off value is log MMP-9=6.23. Above this MMP-9 level, patients have a 6.5-fold higher risk of developing heart failure. 
     A risk calculator may be put together in form of a chart and software for hand-held PCs. The risk calculator will estimate the 2-year risk of developing heart failure after myocardial infarction based upon the two strongest predictors in our study (i) MMP-9 level; and (ii) the history of a previous myocardial infarction. It is conceivable to include further clinical and biological risk markers in the risk calculator. 
     Accordingly, the inventor has realized that this difference in MMP-9 concentrations between the normal and raised levels, can be used as a physiological marker, suggestive of the two year risk of developing heart failure following an MI. It will be appreciated that if a subject has a raised concentration of MMP-9 which is considerably higher than the ‘normal’ MMP-9 concentration (for example, &gt;300 pixels 2 , &gt;400 pixels 2 , &gt;500 pixels 2 , &gt;600 pixels 2 ), then they would be at a higher risk of developing heart failure within the two years following MI, then if the concentration of MMP-9 was only marginally higher then the ‘normal’ MMP-9 concentration (for example, between 200-300 pixels 2 ). Accordingly, a clinician would be able to make a decision as to the course of treatment required, for example, the type and dosage of therapeutic agent to be administered. 
     The majority of existing cardiac studies measure the presence or absence of markers, and not the actual concentration of the marker. Such methods rely on common ELISA detection and measurement technique instead of zymography, which determines the concentration of active MMP-9. The use of zymography is uncommon in such studies since it is very time consuming. 
     Advantageously, the concentration of active MMP-9 may be measured in the plasma of the individual who has suffered the myocardial infarction. It is known that other proteins play a role in heart failure post infarction, for example, phospholamban, SERCA, βARK. However, these proteins cannot be detected in the plasma of patients. In addition, it is surprising that there is a correlation between the concentration of MMP-9, and the two-year risk of developing further heart failure. Other proteins are known to play a role in heart failure, such as TNF-α, IL-6, and are elevated in the plasma of MI patients. However, there is no relationship between the concentration of these proteins, and prognosis of heart disease. Hence, measurement of TNF-α, IL-6, is not in clinical use. 
     The kit according to the second aspect may comprise suitable means for determining the concentration of Matrix Metalloproteinase-9 in the sample once this has been obtained from the subject. The detection means may comprise the use of antibodies coupled to a colorimetric method. In this case, the test will either be positive (high risk) or negative (low risk). 
     The kit may comprise a risk calculator incorporating the level of MMP-9 in form of a chart or a software program for traditional and/or a handheld PC. The risk calculator may comprise information concerning other risk factors, for example history of myocardial infarction, diabetes and age. 
     The risk calculator may comprise information concerning the level of MMP-9 and the presence or absence of a previous myocardial infarction. 
     All of the features described herein (including any accompanying claims, abstract and drawings), and/or all of the steps of any method or process so disclosed, may be combined with any of the above aspects in any combination, except combinations where at least some of such features and/or steps are mutually exclusive. 
     For a better understanding of the invention, and to show how embodiments of the same may be carried into effect, reference will now be made, by way of example, to the non-limiting Example and drawings, in which: 
       FIG. 1  illustrates levels of MMP-2 and MMP-9 determined by gelatin zymography in 109 patients with acute MI, 142 patients with atypical chest pain and normal coronary arteries (No CAD), 135 patients with stable coronary artery disease (stable CAD) and 53 patients with unstable angina (USA); 
       FIG. 2  illustrates: (A) Time course of MMP-9 levels in acute MI patients after reperfusion; and (B) Distribution of MMP-9 levels in patients with acute MI; and showing a biphasic pattern with a larger and a smaller peak. A kernel density procedure was used to evaluate the density at the specified points; 
       FIG. 3  illustrates the relationship between initial MMP levels (log transformed) and the risk, two years following MI, of: (A) developing heart failure NYHA class III-IV; and (B) having ejection fraction &lt;40%; and 
     EXAMPLE 
     Experiments were conducted to illustrate that subjects with elevated levels of MMP-9 at the time of infarction are at high risk for the development of left ventricular remodeling and late onset heart failure during follow-up. 
     Methods 
     Study group. In the present study, 109 consecutive patients with acute MI (&lt;24 hours) referred for primary coronary intervention (PCI) to the Centre Hospitalier Luxembourg/Institut National de Chirurgie Cardiaque et de Cardiologie Interventionnelle, were prospectively evaluated. Acute MI was defined by the presence of typical chest pain, the presence of significant ST-segment elevation in two or more ECG leads, and peak elevation of plasma creatine kinase to at least twice normal (400 U/L). All patients underwent coronary angioplasty and stenting with use of abciximab unless contraindicated. Blood samples were taken at the time of the PCI. Patients were followed in 6-month intervals for any major cardiac event or the development of heart failure class NYHA III-IV. 
     To evaluate left ventricular volumes and ejection fraction, long term survivors underwent a radionuclide ventriculography 2 years (mean of 24 months, 11-37 months) after the MI. Left ventricular ejection fraction (EF), end-diastolic volume (EDV) and end-systolic volume (ESV) were determined semi-automatically. The investigator reading the nuclear studies was unaware of the clinical status of the patients or their biological parameters. All patients signed informed consent and the study was approved by the local Ethics Committee. 
     Measurements. All blood samples were frozen at −70° C. until analysis. The activities of MMP-2 and MMP-9 were determined using zymography and densitometry analysis. Briefly, equal amounts of plasma (1 μl) were loaded on 10% SDS-polyacrylamide gel electrophoresis co-polymerized with gelatinase A and B (0.5 mg/ml each) as the substrates. Levels of high sensitivity C-reactive protein (hs-CRP) and pro-brain natriuretic peptide (pro-BNP) were measured with sandwich enzyme immunoassay. Tumor necrosis factor-α (TNF-α) was determined with enzyme linked immunosorbent assay. 
     Zymography. The purpose was to set up a zymographic analysis of matrix metalloproteinase 2 and 9, through its ability to cleave gelatine A and B, respectively. The process included an electrophoresis, a gel treatment and a staining step, followed by densitometry. 
     1) Electrophoresis 
     1-1 Set Up 
     (i) Clean two glass plates with Ethanol 70%; 
     (ii) Clip them on the vertical holder; 
     (iii) Fill them up with distilled water to check that no leaking occurs. 
     1-2 Gel Casting 
     
       
         
               
               
               
             
               
               
               
               
               
             
               
               
               
               
             
               
               
               
               
               
             
               
               
               
               
             
               
               
               
               
             
               
               
               
               
               
             
           
               
                   
                   
               
               
                   
                 Lower (running) 8% 
                 Upper (stacking) 4% 
               
               
                   
                   
               
             
             
               
                   
               
             
          
           
               
                 DD H 2 O 
                 9.6 
                 ml** 
                 12.34 
                 ml 
               
             
          
           
               
                 Gelatin 
                 20 
                 mg* 
                 / 
               
             
          
           
               
                 Acrylamid/bis 
                 5.34 
                 ml 
                 2.66 
                 ml 
               
             
          
           
               
                 Lower Tris 
                 5 
                 ml 
                 / 
               
             
          
           
               
                 Upper Tris 
                 / 
                 5 
                 ml 
               
             
          
           
               
                 SDS 10% 
                 200 
                 μl 
                 200 
                 μl 
               
               
                 APS 10%*** 
                 100 
                 μl 
                 100 
                 μl 
               
               
                 Temed*** 
                 10 
                 μl 
                 20 
                 μl 
               
               
                 Volume final (4/gels) 
                 20 
                 ml 
                 20 
                 ml 
               
               
                   
               
               
                 *For the preparation of gelatin A and B, weigh out 30 mg, and then solubilize them in 2 ml at 37° C. Then add the appropriate volume for the gel preparation. 
               
               
                 **Substract these volumes to the water volume. 
               
               
                 ***Temed and persulfate must be added right before pouring the gels, as they allow the polymerization. 
               
             
          
         
       
     
     The running buffer was first poured up to 1 cm below the comb. 1 ml iso-butanol was quickly added to saturated in water. The gel was left for about 30 min to polymerise. The isobutanol was sucked with absorbing paper, and then washed with distilled water. The stacking gel was poured, and the comb was set being sure to avoid any air bubbles. 
     When the polymerization was complete (30 min), the comb was slowly removed, and then the wells were rinsed with running buffer. 
     1-3 Electrophoresis Procedure 
     The samples were prepared, on ice, with the Tris-glycine SDS sample buffer 2×. The standards were diluted to load the same volume, and then allowed to sit for 10 minutes before loading. The gels were set on the holder, and the reservoir was filled with running buffer. The samples and the molecular weight standards were loaded, as well as the positive MMP2 and MMP9 controls. The samples were allowed to migrate for 2 hours, with the voltage set at 100 V. 
     2) Gel Treatment 
     (i) Renaturation—The gels were soaked under gentle shaking, three times for 20 minutes in 50 ml of renaturation buffer. 
     (ii) Development—The gels were rinsed with 10 ml development buffer. The gels were equilibrated with 50 ml of development buffer for 30 minutes at room temperature. The buffer was replaced with 50 ml new buffer, and incubated overnight at 37° C. 
     (iii) Staining—The gels were soaked for 15 minutes in staining solution. 
     (iv) Discolouration—The gels were soaked in discolouration buffer for 5 minutes. 
     (v) Contrast buffer—The gels were soaked in contrast buffer up to the moment they were dried. 
     3) Gel Analysis 
     
         
         Scanning procedure 
         Densitometry
 
4) Products
 
       
    
                                                   Gelatin A   From porcine skin   Sigma G-6144       Gelatin B   From bovine skin   Sigma G-6650            Acrylamid/bis   Bio-rad 161-0158       APS (Amonium persulfate)   Bio-rad 161-0700       SDS (lauryl sulphate)   Sigma L-3771       Temed   Bio-rad 161-0800       Running Buffer 10X (Tri-glycine-SDS)   Bio-rad 161-0732       Tris base   Bio-rad 161-0715       Glycerol   Merck 1.04093.1000       Glycine   Sigma G-8898       Triton X-100   Sigma T8532-500 ml       Brij 35 30% w/v   Sigma diagnostics 430AG6       NaCl   VWR 1723       CaCl 2     Merck 2381.100       Bromophenol blue   Sigma B-7021                    
5) Buffers
 
     
       
         
               
             
               
               
               
             
               
             
               
               
               
             
               
             
               
               
               
             
               
             
               
               
               
             
               
             
               
             
               
             
               
               
               
             
               
             
               
               
               
             
               
             
               
               
               
             
               
             
               
               
               
             
           
               
                   
               
             
             
               
                 Lower Tris (1.5M Tris-HCl, pH 8.8) 
               
             
          
           
               
                 Tris base 
                 18.15 
                 g 
               
               
                 Distilled water 
                 70 
                 ml 
               
               
                 Adjust to pH 8.8 with HCl 12 N 
               
               
                 Adjust to 100 ml with distilled water 
               
               
                 Store at 4° C. 
               
             
          
           
               
                 Upper Tris (0.5M Tris-HCl, pH 6.8) 
               
             
          
           
               
                 Tris base 
                 6 
                 g 
               
               
                 Distilled water 
                 70 
                 ml 
               
               
                 Adjust to pH 6.8 with HCl 12 N 
               
               
                 Adjust to 100 ml with distilled water 
               
               
                 Store at 4° C. 
               
             
          
           
               
                 Loading Buffer 2X: 
               
             
          
           
               
                 0.5M Tris-HCl, pH 6.8 
                 2.5 
                 ml 
               
               
                 Glycerol 
                 2 
                 ml 
               
               
                 SDS 10% 
                 4 
                 ml 
               
               
                 0.1% Bromophenol blue 
                 0.5 
                 ml 
               
               
                 Adjust with distilled water to 
                 10 
                 ml 
               
             
          
           
               
                 Running Buffer (10X): 
               
             
          
           
               
                 Tris Base 
                 29 
                 g 
               
               
                 Glycine 
                 144 
                 g 
               
               
                 SDS 
                 10 
                 g 
               
               
                 Adjust with distilled water to 
                 1000 
                 ml 
               
             
          
           
               
                 Renaturing Buffer (10X): 
               
             
          
           
               
                 2.5% Triton X-100 in distilled water 
               
             
          
           
               
                 Developing Buffer (10X): 
               
             
          
           
               
                 Tris 0.5M, Brij 35 0.2%, NaCl 2M, CaCl 2  50 mM, pH 7.6 
                   
                   
               
               
                 Tris 
                 30.2 
                 g 
               
               
                 Brij 30% w/v 
                 3.3 
                 ml 
               
               
                 NaCl 
                 58.4 
                 g 
               
               
                 CaCl 2   
                 3.6 
                 g 
               
               
                 Adjust to pH 7.6 with HCl 12N 
               
               
                 Adjust to 500 ml with distilled water. 
               
               
                 Store at 4° C. 
               
             
          
           
               
                 Staining: 
               
             
          
           
               
                 40% v/v Methanol, 10% v/v acetic acid, 0.1% w/v 
                   
                   
               
               
                 Coomassie blue 
               
               
                 Methanol 
                 200 
                 ml 
               
               
                 Acetic acid 
                 50 
                 ml 
               
               
                 Coomassie blue 
                 0.5 
                 g 
               
               
                 Adjust to 500 ml with distilled water. 
               
             
          
           
               
                 Discolouration: 
               
             
          
           
               
                 30% v/v Methanol, 10% v/v acetic acid 
                   
                   
               
               
                 Methanol 
                 150 
                 ml 
               
               
                 Acetic acid 
                 50 
                 ml 
               
               
                 Adjust to 500 ml with distilled water 
               
             
          
           
               
                 Contrast buffer: 
               
             
          
           
               
                 5% v/v Glycerol, 10% v/v acetic acid 
                   
                   
               
               
                 Glycerol 
                 25 
                 ml 
               
               
                 Acetic acid 
                 50 
                 ml 
               
               
                 Adjust to 500 ml with distilled water 
               
               
                   
               
             
          
         
       
     
     Characterization of MMPs. In order to better define peripheral levels of MMPs, the inventor performed additional studies. First, the inventor measured levels of MMP-2 and MMP-9 on day 0, day 1 and day 3 in patients with acute MI (n=20) to assess the time course of MMP release post MI. Second, the inventor measured MMP-2, MMP-9, hs-CRP and TNF-α in consecutive patients without MI undergoing coronary angiography who presented with unstable angina (n=53), stable angina (n=135) or atypical chest pain with normal coronary arteries (n=142). Third, the inventor measured levels of MMP-9 at 3-months intervals in patients with stable CHF (n=15). 
     Statistical Analysis 
     Descriptive statistics were produced as means, standard deviations and percentages as appropriate to describe the studied population. One-way anova was used to compare mean values between observed groups of patients defined by a qualifying event (i.e. Groups defined by a follow-up NYHA score of III-IV or ejection fraction of &lt;40%). In case of a significant Shapiro-Wilk test for normal data, a non-parametric Mann-Withney test was used. Linear regression and correlation were performed to study the relationship between biological predictors. A logistic regression model was used to investigate the association of the NYHA score at 2-year with patients characteristics and biological predictors. Then a logistic regression model was used to model ejection fraction (≦40%, &gt;40%) at 2-year with patient characteristics and biological predictors. 
     Model building proceeded with stepwise backward elimination, requiring p&lt;0.05 for significance, starting with a model that contained all variables. After final selection, variable interactions were tested following the same method. Wald chi-squared test and Likelyhood ratio test were used to assess the significance of variables in the model. A p-value of &lt;0.05 was considered statistically significant. All tests were two-tailed. Statistical analyses were carried out with the statistical package Intercooled Stata version 7.0 (Stata Corporation, College Station, Tex., USA). 
     Results 
     The baseline clinical characteristics of patients with and without CHF development during follow-up are summarized in Table 1. Of the 109 patients with acute MI, 11 patients died and 15 patients developed heart failure NYHA class III-IV during 2 year follow-up. Seven patients were lost during follow-up. 
                                                         TABLE 1                   CLINICAL CHARACTERISTICS OF PATIENTS WITH AND       WITHOUT THE DEVELOPMENT OF HEART FAILURE IN       SURVIVORS OF MI                No CHF   CHF               (N = 76)   (N = 15)   p-value                        Demographics                   Age (Years)     57 ± 12     62 ± 15   0.15*       Male   60 (66%)   9 (10%)   0.12 ¥         BMI (kg/m 2 )   27.8 ± 4.3   28.9 ± 4.5   0.36*       Risk factors       Diabetes   13 (14.3%)   4 (4.4%)   0.38 #         Hypertension   25 (27.5%)   9 (9.9%)   0.05 ¥         Hypercholesterolemia   38 (41.7%)   6 (6.6%)   0.48 ¥         Current smoker   41 (45.1%)   6 (6.6%)   0.32 ¥         Cardiovascular history       Previous MI   19 (20.9%)   6 (6.6%)   0.23 ¥         Previous PCI   11 (12.1%)   2 (2.2%)   1.00 #         Previous CABG    0 (0%)   0 (0%)       Medications at presentation       ACE inhibitors   15 (16.8%)   6 (6.6%)   0.09 ¥         Beta-blockers   30 (32.9%)   5 (5.5%)   0.65 ¥         Aspirin   49 (53.85%)   5 (5.5%)   0.02 ¥         Nitrates   19 (20.9%)   4 (4.4%)   1.00 #         Diuretics    3 (3.3%)   0 (0%)   1.00 #         Calcium-channel blocker    5 (5.5%)   0 (0%)   0.59 #         Clopidogrel   16 (17.6%)   0 (0%)   0.06 #         Statins   20 (21.9%)   1 (1.1%)   0.18 #                 In Table 1:       One way analysis of variance,         ‡ Non-parametric Mann-Withney test,         ¥ Chi2 test,         # Fisher Exact Chi2 test.       MI, myocardial infarction;       PCI, percutaneous coronary intervention;       CABG, coronary artery bypass grafting;       ACE, angiotensin-converting enzyme            
Parameters at the Time of Reperfusion
 
     Levels of MMP-2 were not increased in patients with acute MI, as illustrated in  FIG. 1 . However, as can be seen in  FIG. 1 , in contrast to MMP-2, levels of MMP-9 were significantly increased at the time of reperfusion (p&lt;0.001). Patients with stable or unstable coronary artery disease did not show any elevation of MMP-9. Levels of hs-CRP were 4.6-fold increased in patients with acute MI when compared to patients without coronary artery disease (p&lt;0.001). Interestingly, there was no correlation between MMP-9 and hs-CRP (p=0.23). Similarly, pro-BNP was found to be augmented in patients with acute MI without any correlation with MMP-9 levels (p=0.92). However, levels of MMP-9 correlated with levels of CPK (p&lt;0.0001) and TNF-α (p=0.005). This was a first indication that MMP-9 may be related to the size of the infarction. 
     The inventor recorded maximal levels of MMP-9 at the time of initial presentation which, in our study, corresponded to the first 24 hours after onset of symptoms, as illustrated in  FIG. 2A . Thereafter, MMP-9 slowly declined. The inventor observed a biphasic distribution of MMP-9 values among the acute MI patients with a first major peak and a second smaller peak, as illustrated in  FIG. 2B . The group of patients with stable CHF without MI and with EF&lt;40% had elevated levels of MMP-9 which did not vary significantly of the course of 3 months (data not shown). 
     Multivariate Predictors of Late Onset CHF 
     As shown in Table 2, patients with high levels of MMP-9 at the time of infarction were more likely to develop heart failure during their post MI course. Indeed, NYHA functional class at 2-year follow-up was higher in patients with elevated initial MMP-9 (p&lt;0.02). This was independent of treatment with beta-blockers or angiotensin converting enzyme inhibitors. Using a multi-variate analysis, we established that patients with high initial MMP-9 levels (above the cut off value of Log MMP-9=6.23), had an OR of 6.5 (95% CI 1.7-25.3, p&lt;0.006) of developing late onset heart failure class III-IV. The impact of MMP-9 on the development of heart failure after MI is shown in  FIG. 3 . 
     
       
         
               
             
               
               
               
               
             
               
             
               
               
               
               
             
               
             
               
               
               
               
             
           
               
                 TABLE 2 
               
             
             
               
                   
               
               
                 Biological predictors of late onset heart failure post MI 
               
             
          
           
               
                   
                   
                 CHF class III-IV 
                   
               
               
                   
                 No CHF at 2 years 
                 at 2 years 
               
               
                   
                 (n = 76) 
                 (n = 15) 
                 p 
               
               
                   
                   
               
             
          
           
               
                 CARDIAC FUNCTION AT 2 YEARS 
               
             
          
           
               
                 EF (%) 
                 52.5 ± 11.4 
                 43.1 ± 9.4  
                 0.03* 
               
               
                 EDV (ml) 
                 80.3 ± 25.2 
                 93.5 ± 20.2 
                 0.03** 
               
               
                 ESV (ml) 
                 40.9 ± 25.0 
                 54.9 ± 19.8 
                 0.04* 
               
             
          
           
               
                 Circulating factors at time of MI 
               
             
          
           
               
                 TNF (pg/ml) 
                 1.7 ± 1.6 
                 2.1 ± 1.9 
                 0.44 
               
               
                 Pro-BNP (pg/ml) 
                  982 ± 2290 
                 2138 ± 4637 
                 0.39 
               
               
                 CRP (mg/dl) 
                 2.0 ± 3.2 
                 2.6 ± 4.2 
                 0.82 
               
               
                 CPK max 
                 1561 ± 1477 
                 2534 ± 1676 
                 0.08 
               
               
                 MMP-2 (pixels 2 ) 
                 463 ± 176 
                 600 ± 261 
                 0.06 
               
               
                 MMP-9 (pixels 2 ) 
                 493 ± 810 
                 983 ± 640 
                 0.02** 
               
               
                   
               
               
                 In Table 2: 
               
               
                 Patients with acute MI (n = 109) were followed for the development of CHF and cardiac function was assessed with radionuclide ventriculography at 2 years. 
               
               
                 Circulating factors were measured at the time of MI and compared between patients with and without development of CHF. 
               
               
                 *One way analysis of variance. 
               
               
                 **Non-parametric Mann-Withney test. 
               
               
                 CHF, congestive heart failure, 
               
               
                 EF, ejection fraction, 
               
               
                 EDV, enddiastolic volume, 
               
               
                 ESV, endsystolic volume, 
               
               
                 TNF, tumor necrosis factor-α, 
               
               
                 BNP, brain natriuretic peptide, 
               
               
                 CRP, C-reactive protein, 
               
               
                 CPK, creatine kinase, 
               
               
                 MMP, matrix metalloproteinase. 
               
             
          
         
       
     
     These results were corroborated by the measurements of cardiac volumes and function at 2 year follow up, as illustrated in Table 2 and in  FIG. 3 . Indeed, patients with high initial MMP-9 levels were more likely to develop left ventricular dysfunction (EF % 43±9 vs. 52±11, p&lt;0.03) and remodeling. The impact of initial MMP-9 levels on EF is depicted in  FIG. 3 . All other biological parameters determined in the present study (TNF-α, pro-BNP, hs-CRP, creatine kinase and MMP-2) were also slightly higher in patients that would later develop heart failure (Table 2). However, the difference was not statistically significant and multivariate analysis did only identify MMP-9 as a predictor of late onset heart failure post MI. 
     It is noteworthy that patients with a history of MI had an OR of 5.6 (95% CI 1.3-24.3, p=0.02) of developing late onset heart failure following MI. Multivariate analysis also identified a history of aspirin intake at presentation as a protective factor against the development of heart failure (OR of 0.15, 95% CI 0.04-0.6, p=0.007). 
     Discussion 
     These data illustrate that patients with elevated levels of MMP-9 at the time of infarction have a high risk for heart failure following an MI (most likely as a result of left ventricular remodeling). Measurement of MMP-9 levels represents a better risk indicator of patients at risk of heart failure, following MI, than pro-BNP, TNF-α, hs-CRP or creatine kinase. Indeed, a single determination of MMP-9 at the time of reperfusion therapy was able to determine patients at high risk (OR of 6.5) for the development of late onset heart failure NYHA class III-IV and EF&lt;40%. 
     The successes of modem reperfusion therapies have resulted in an increasing proportion of infarct survivors (Ref. 1-4). However, the risk of developing CHF post MI has not decreased, and will likely increase as the proportion of survivors will further be augmented by the implantation of automatic defibrillators (Ref 11). Therefore, CHF following MI remains a major problem. Patients who develop CHF days after MI have a high in-hospital mortality rate. Little is known, however, about the predictors of late onset CHF (years) after MI. Analysis of the CARE study has revealed that the most important clinical predictors of late onset CHF post MI are age, EF, diabetes, hypertension and previous MI. A history of MI was also an important predictor of late onset CHF in our study. Some of these factors are similar to predictors of acute CHF after MI such as age and diabetes. 
     Among the circulating factors reflecting left ventricular function, pro-BNP is increasingly being recognized as an important prognostic marker in patients with heart failure and acute MI (Ref. 12-15). The results of elevated levels of pro-BNP in patients with acute MI confirm those reports. Of note, previous studies evaluating pro-BNP in acute MI have included very few patients with primary angioplasty and stenting. Furthermore, the usefulness of BNP determination in the acute phase of MI is limited by rapid fluctuations in peptide levels during the first 24 hours of MI. BNP levels are also affected by numerous co-morbidities such as chronic obstructive lung disease and renal insufficiency. 
     The results are consistent with the reported finding that peripheral levels of MMP-9 increase two- to three-fold following myocardial infarction (Ref. 5-10). The inventor observed a correlation between creatine kinase and MMP-9 levels. This fact may be due to a smaller, heterogeneous patient population with only 9 patients receiving reperfusion therapy, compared to our acute MI group, where all patients underwent coronary angioplasty and stenting, in the majority with the use of abciximab. 
     This is the first report demonstrating that MMP-9 is a powerful independent predictor of left ventricular remodeling and CHF following MI. Early postmyocardial plasma MMP-9 levels had a significant inverse relation with left ventricular size and function at 2 years. This was not the case for creatine kinase or pro-BNP. This is potentially explained by the fact that MMP-9 may be less affected by the wash out phenomenon and transient hemodynamic changes at the time of reperfusion, which complicate the interpretation of creatine kinase and pro-BNP levels. In studies by Omland et al. and Richards et al., only about half of the patients received reperfusion therapy with thrombolysis and BNP levels were determined on day 2 to 4 after the MI when peptide levels are in a steady state. 
     So far, clinical studies investigating MMP-9 levels concluded that elevated levels were due to the process of coronary artery plaque rupture. However, in view of recent animal studies, it appears more likely that neutrophils infiltrating the infarcted myocardium are the major source of MMP-9 in the setting of acute MI (Ref. 16-17). MMP-9 probably acts directly on the myocardium as a protease and facilitates neutrophil infiltration and degranulation, exacerbating the ischemic insult. This may explain why MMP-9 appears to be an accurate marker for the extent of the injury. Several investigators have sought to understand the potential therapeutic benefits of MMP inhibition. For instance, observations in the TNF-α transgenic mouse model indicate that MMP inhibition has a narrow window of opportunity in the early phase of remodeling. Indeed, MMP inhibition had no beneficial effect on ventricular size and function in old mice with established CHF. 
     Many cytokines, including TNF-α and transforming growth factors, induce MMP expression. In the present study, peripheral levels of TNF-α were only mildly elevated at the time of myocardial infarction. Nevertheless, there was a positive correlation between levels of MMP-9 and TNF-α which is in accordance with the notion that the cytokine cascade is initiated by TNF-α during myocardial injury. 
     In contrast to previous reports, the inventor did not observe an elevation of MMP-2 levels at the time of MI. The difference between this study and the prior art may possibly be related to a different analytical technique. Using zymography, the inventor measured enzymatic activity of MMPs, which reflects the biological state whereas immunoassays used in the previous study do not distinguish between the active and inactive proenzyme form of MMPs. 
     In conclusion, MMP-9 is a robust and very early marker of left ventricular remodeling in patients with acute MI and particularly those treated with primary angioplasty and stenting. Therefore MMP-9 is useful as a prognostic marker according to the present invention and may be used to guide treatment and to prove the presence of myocardial infarction. 
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     While the foregoing invention has been described in some detail for purposes of clarity and understanding, it will be clear to one skilled in the art from a reading of this disclosure that various changes in form and detail can be made without departing from the true scope of the invention. For example, all the techniques and apparatus described above can be used in various combinations. All publications, patents, patent applications, and/or other documents cited in this application are incorporated by reference in their entirety for all purposes to the same extent as if each individual publication, patent, patent application, and/or other document were individually indicated to be incorporated by reference for all purposes.