Symmetric Dimethylarginine is Altered in Patients After Myocardial Infarction and Predicts Adverse Outcomes.

PURPOSE: Acute myocardial infarction (AMI) is the leading cause of morbidity and mortality worldwide. Damage to the endothelium is the earliest event in atherothrombosis, including AMI. Nitric oxide (NO), an endothelium-derived compound, protects the vasculature from damage. This study evaluated whether an association exists between plasma concentration of endogenous NO-related pathway metabolites linked to AMI and major adverse cardiovascular events (MACE) after AMI.
METHODS: We compared plasma concentrations of NO-related pathway metabolites in patients after AMI (n=60) and healthy controls (n=27) and investigated the prognostic value of these metabolites for post-AMI MACE development over a median of 3.5-years. In search of biomarkers, we compared plasma concentrations of dimethylarginines (ADMA, SDMA), citrulline, arginine and ornithine using ultra performance liquid chromatograph coupled with a mass spectrometer.
RESULTS: Patients after AMI had higher concentrations of dimethylarginines, compared to controls (p=0.0068, p<0.0001, respectively). Conversely, the concentration of citrulline was lower in the AMI group (p=0.0006). The concentration of SDMA was higher in patients who developed MACE than in those who did not (p=0.015). SDMA was the only independent predictor of MACE in multivariate analysis (p=0.023). There was an intermediate, negative correlation between plasma SDMA level and platelet reactivity (r=-0.33, p=0.02).
CONCLUSION: Plasma concentration of dimethylarginines differs between patients with AMI and healthy volunteers. The study's novel finding is that SDMA is an independent predictor of MACE during a 3.5 year follow-up period after AMI.

Introduction

Cardiovascular disease (CVD), including acute myocardial infarction (AMI), is the leading cause of morbidity and mortality worldwide.1 Despite the progress in AMI pharmacological and interventional treatment, there are no reliable biomarkers allowing prediction of cardiac dysfunction and recurrent major adverse cardiovascular events (MACE) after AMI.

Arterial endothelial cell damage is considered the earliest event in atherosclerosis and subsequent thrombotic complications, including AMI.2 Healthy endothelium exerts many vasoprotective effects, primarily mediated by nitric oxide (NO), the most potent endogenous vasodilator and inhibitor of platelet aggregation.3 A group of enzymes called nitric oxide synthases (NOS) convert arginine into citrulline, producing NO in the process.3 The three NOS isoforms produce NO very differently. It is not exactly known how many NO molecules are produced from a single molecule of arginine by the eNOS, nNOS, or iNOS isoenzymes.4 A reduced expression of the eNOS isoenzyme and subsequent decreased production of NO were shown to increase the risk of arterial hypertension,5 preeclampsia,6 diabetic nephropathy,7 retinopathy,8 migraine9 and erectile dysfunction.10

Elevated concentrations of dimethylarginines (asymmetric dimethylarginine, ADMA and symmetric dimethylarginine, SDMA), the endogenous competitive inhibitors of NOS, are potential contributors to endothelial dysfunction.11 Patients with hypertension and coronary artery disease (CAD) show increased plasma levels of dimethylarginines.11 Elevated plasma ADMA levels not only correlate with atherosclerotic plaque burden, particularly in the carotid artery, but also predict the risk of future lesion development, myocardial infarction and stroke.12 Like ADMA, SDMA was shown to predict all-cause mortality and MACE independent of renal function.13 Data suggests that endogenous ADMA may be involved in platelet hyper-aggregation in hypertension.14,15 Furthermore, elevated intraplatelet ADMA concentration may result in impaired platelet-derived NO synthesis and subsequent increase in platelet activity.16

Next to NOS inhibitors, altered concentrations of NO-related pathway metabolites may also play a role in endothelial dysfunction. Endothelial isoforms of NOS catalyse the conversion of L-Arg to NO. Deficiencies in L-arginine supply have been implicated in CVD, including hypertension, atherosclerosis, diabetic vascular disease, hyperhomocysteinemia, heart failure and ischemia-reperfusion injury.17–23 Because L-citrulline is the natural precursor for arginine, it could be an important substitute for L-arginine. Intestinal L-citrulline synthesis begins with glutamine conversion to glutamate, then to ornithine, and subsequently to citrulline. Altered ratios of circulating amino acid metabolites (ornithine, proline, citrulline) indicate increased arginase activity, which competes with NOS and impairs NO production.23 Levels of endogenous metabolites of NO-related-pathway seem to be associated with platelet reactivity. For example, arginine deficiency was associated with decreased intraplatelet-NO concentration, which might be involved in platelet activation and thrombocytopenia.24

Pathophysiological mechanisms of MACE after AMI remain unclear. We hypothesized that plasma concentration of endogenous metabolites of the NO-related pathway differs between patients with AMI and healthy volunteers and may predict MACE after AMI. Further, we hypothesized that the concentrations of plasma metabolites of NO-related metabolites correlate with platelet reactivity.

The goal of the present study was to (i) examine the differences between plasma concentrations of dimethylarginines and endogenous metabolites of NO-related pathway in patients with AMI and healthy volunteers, as well as in patients with AMI with and without MACE during the median follow-up of 3.5 years, (ii) evaluate their predictive value for MACE and (iii) assess the correlation between dimethylarginines and endogenous metabolites and platelet reactivity.

Methods

Study Design

This was a prospective, observational study including all patients participating in the AFFECT EV Metabolite Substudy. This prospective, investigator-initiated study was conducted at the 1st Chair and Department of Cardiology, Medical University of Warsaw, Poland.25 The protocol of study was consistent with the Declaration of Helsinki and obtained the Ethics Committee of the Medical University of Warsaw approval (approval number KB/112/2016). It was registered in the Clinical Trials database (NCT02931045) and published previously.25 Written informed consent was obtained from all participants.

Study Participants

Table 1 includes study inclusion and exclusion criteria. Patients’ eligibility for enrolment was determined by (a) admission to the hospital due to the first ST-segment elevation of AMI (STEMI) or non-STEMI (NSTEMI) with an onset of symptoms during the previous 24 hours, and (b) undergoing PCI with a stent implantation. STEMI was defined as persistent elevation of ST-segment at least 0.1 mV in at least two contiguous electrocardiography leads or a new left bundle-branch block.26 Patient diagnosed with NSTEMI presented with typical anginal chest pain along with an elevation of cardiac troponin concentration in the peripheral blood and ST-segment changes (ST depression, transient ST elevation, T-wave changes) on electrocardiogram.27

Table 1

Study Inclusion and Exclusion Criteria

Inclusion Criteria

Exclusion Criteria

● Written informed consent to participate in the study● Age ≥ 18 years● Admission to the hospital due to first ST-elevation myocardial infarction (STEMI) or non-STEMI● PCI with stent implantation

● Cardiogenic shock● Chronic kidney disease● (eGFR < 45 mL/min)● Autoimmune disease● Active neoplastic disease● Chronic inflammatory disease● Acute gastrointestinal disease within the last month● Chronic intestinal disease● Antibiotic therapy within the last two months● Dietary supplements within the last seven days● Pregnant and breast-feeding patients or intent to become pregnant during the study period

Abbreviations: AMI, acute myocardial infarction; eGFR, estimated glomerular filtration rate; PCI, percutaneous coronary intervention.

When the study was initiated, patients diagnosed with STEMI before hospital admission were pre-treated with clopidogrel. Because antiplatelet therapy with P2Y12 inhibitors affects platelet reactivity, only patients who received clopidogrel before PCI were enrolled in the study to obtain a homogenous study group.

Since NO/L-Arg-related pathway metabolites are excreted in the urinary tract, patients with chronic kidney disease (CKD) with estimated glomerular filtration rate <45 mL/min/1.73 m2, calculated using the Cockcroft-Gault equation, were excluded. Because the intestinal absorption of the NO-pathway substrates is affected by the state of the gastrointestinal tract and its microbiota, patients with acute or chronic gastrointestinal diseases, autoimmune disease, treated with antibiotics within the last two months or taking dietary supplements within the last seven days are excluded from the study. All patients provided written informed consent.

Healthy volunteers were recruited among the hospital staff. They included people age 18–99 years old without any medical history of chronic diseases, chronic pharmacotherapy, acute gastrointestinal disease within the last month, antibiotic therapy within the last two months and dietary supplements within the last seven days.

Trial Schedule and Blinding

The trial schedule is presented in Figure 1. An independent operator (CE) collected blood from patients. CE was not involved in analysing the samples. Aggregometry was done by an independent operator (AG). A unique number was used to identify participants during the study, and all samples were identified by a sample number. An independent, blinded to clinical data operator (MU) was responsible for NO/L-Arginine (Arg)-related pathway metabolites concentration analysis. An independent operator (PS) performed statistical analysis.

Figure 1

Study design (A) and inclusion and exclusion chart (B).

Treatment

All patients were treated according to the European Society Guidelines.26,27 Treatment included dual antiplatelet therapy, aldosterone receptor antagonist and protein pump inhibitor, angiotensin-converting enzyme inhibitor or angiotensin receptor blocker, β-blocker.26,27

Clinical Data Collection

Baseline data included body mass index and demographics (gender and age), initial diagnosis and cardiovascular risk factors, such as diabetes, hyperlipidaemia, arterial hypertension, and smoking. In addition to baseline data routine laboratory parameters were recorded. Pharmacotherapy was recorded at discharge. Data regarding MACE (recurrent AMI, stroke, cardiovascular death, all-cause death) were collected during the phone-call at the median of 3.5-years follow-up call.

Handling and Collection of Blood

Collection of samples of peripheral venous blood took place at one time (no more than 24 hours after AMI) from fasting patients. The fasting state was defined based on the time after the last meal consumption (considered as ≥8 hours). Briefly, blood was sampled into ethylenediaminetetraacetic acid (EDTA) tubes for metabolite analysis and hirudin (S-Monovette, Sarstedt) tubes for platelet reactivity analysis. No more than 15 minutes after blood collection, EDTA samples were centrifuged for 15 minutes at 2500 g. Plasma was frozen at −80°C until analysed.

Evaluation of Dimethylarginines and Endogenous Metabolites of Nitric-Oxide Pathway Concentration

Plasma concentrations of dimethylarginines, arginine and citrulline were determined by the UPLC/MS/MS method. A Waters Acquity ultra performance liquid chromatograph coupled with a Waters TQ-S triple-quadrupole mass spectrometer was used for analyses. Analytes were separated using a Waters HILIC column (1.7µm, 2.1mm x 50mm). Mobile phase A was NH4OH in water (1mL of 25% ammonium hydroxide in 1L water) and mobile phase B was formic acid in acetonitrile (1mL of formic acid in 1L acetonitrile). The mass spectrometer was operated in multiple-reaction monitoring (MRM)-positive electrospray ionization (ESI+). Samples were prepared by adding 100μL of acetone containing internal standards to 10μL of the sample (calibrators, plasma). After vortexing and centrifuging the mixture, 7μL was injected. The quantification limits (LOQ) were 4.05 ng/mL, 3.64 ng/mL, 702.89 ng/mL and 637.69 ng/mL for ADMA, SDMA, arginine and citrulline, respectively.

Platelet Reactivity

Platelet reactivity was measured by multiple electrode platelet aggregometry (MEA) with the use of adenosine diphosphate test (ADP, 6.5 µmol/L). A positive control was thrombin receptor-activating peptide-6 (SFLLRN) test (TRAP, 32 µmol/L), as previously described.28 A negative one was whole blood that was not stimulated (resting platelets).

Endpoints

The study’s primary endpoint was the differences in plasma concentrations of dimethylarginines and endogenous metabolites of the NO-pathway between patients with AMI and healthy volunteers. The secondary endpoint was the prognostic value of dimethylarginines and endogenous metabolites of the NO-pathway for the occurrence of MACE during the median 3.5-year follow-up time. The exploratory endpoint was the correlation between dimethylarginines/ endogenous metabolites and platelet reactivity.

Statistical Analysis

Statistical analysis was performed with IBM SPSS Statistics (version 24.0). Categorical variables were showed as numbers and percentages and Fisher's exact test was used to compare them. The normal distribution of continuous variables was determined using a Shapiro–Wilk test. Continuous variables were demonstrated as mean with standard deviation or median with interquartile range and they were compared using an unpaired t-test or Mann–Whitney U-test. The diagnostic ability of dimethylarginines and NO-related pathway metabolites to discriminate between patients with and without MACE and the cut-offs were calculated using a receiver operating characteristic (ROC) curve. A logistic regression model incorporating dimethylarginines and NO-related pathway metabolites with significant sensitivity and specificity (area under the ROC curve, AUC) and clinical characteristics were used to determine the best model for predicting MACE. Adverse events including mortality were provided in a descriptive form. P-value below 0.05 was significant.

Role of Funding Source

Designing the study, collecting data, analyzing data, interpretating, or writing of the report was independent of any funders.

Results

60 patients were enrolled between January 2017 and July 2018 and 57 patients were incorporated in the final analysis (3 patients withdrew consent and did not attend the follow-up). Moreover, 27 age- and gender-matched subjects were examined as healthy controls. During the median 3.5-years follow-up, 5 out of 57 patients developed MACE (8.8%): one recurrent AMI and four deaths (two from unknown reasons, two from cardiovascular reasons).

Nitric Oxide/L-Arginine-Related Pathway Metabolites are Altered in Patients After AMI

In search of biomarkers for cardiovascular morbidity, we compared plasma concentrations of dimethylarginines and NO-related metabolites at baseline in patients after AMI (n=60) and healthy controls (n=27). The baseline characteristics and concentrations of the evaluated markers are showed in Table 2. The concentrations of dimethylarginines were higher in patients after AMI than healthy controls (p=0.007 for ADMA, p<0.001 for SDMA; Figure 2A and B). In contrast, the citrulline concentration was lower in the AMI group compared to controls (p=0.035; Figure 2C). The arginine and ornithine concentration did not differ between patients with AMI and healthy controls ().

Table 2

Baseline Characteristics and Concentrations of Dimethylarginines and Nitric Oxide-Related Pathway Metabolites in Patients with AMI and Healthy Controls

	AMI (n=60)		Healthy Controls (n=27)		p
Age, years–mean (SD)	64.2	(9.6)	60.6	(4.5)	0.691
Male gender–n (%)	44	(73)	17	(63)	0.448
ADMA, ng/mL–mean (SD)	115.3	(16.11)	109.7	(14.64)	0.007
SDMA, ng/mL–mean (SD)	130.9	(42.29)	124.2	(74.53)	<0.001
Citrulline, ng/mL–mean (SD)	19.45	(6.17)	25.79	(10.30)	0.035
Arginine, ng/mL–mean (SD)	43.82	(15.70)	44.84	(9.54)	0.352
Ornithine, ng/mL–mean (SD)	46.41	(13.39)	54.08	(17.70)	0.099

Figure 2

Plasma concentration of endogenous metabolites from the arginine-related pathway from patients with acute myocardial infarction (AMI) compared to healthy controls. (A) Asymmetric dimethylarginine (ADMA), (B) Symmetric dimethylarginine (SDMA), (C) Citrulline (CIT).

SDMA Predicts Adverse Outcomes After AMI

Based on the different concentrations of dimethylarginines and citrulline in patients after AMI vs healthy controls, we investigated these metabolites’ prognostic value for post-AMI MACE development. Comparison of baseline characteristics between patients who experienced MACE and those who did not are shown in Table 3. Patients who experienced MACE were older (p=0.031), had higher creatinine clearance (p=0.007), and a higher level of peak troponin I (p=0.048) at baseline compared to patients without MACE. Other cardiovascular risk factors and laboratory results at baseline were comparable between the groups. Pharmacotherapy at hospital discharge was comparable between the groups with and without MACE. Every patient received a dual antiplatelet therapy and atorvastatin (except for one). More than 90% of patients received an angiotensin-converting enzyme inhibitor, a β-blocker and a proton pump inhibitor.

Table 3

Comparison of Baseline Characteristics Between Patients Who Experienced MACE and Those Who Did Not During the Median Follow-Up of 3.5 Years

	MACE (n=5)		No MACE (n=52)		p
Characteristic
Age, years–mean (SD)	75.0	(9.9)	63.4	(9.5)	0.031
Male gender–n (%)	5	(100)	37	(71)	0.162
BMI–mean (SD)	22.6	(3.3)	29.7	(4.3)	0.311
STEMI at admission–n (%)	2	(40)	42	(81)	0.072
CV risk factors–n (%)
Arterial hypertension	4	(80)	32	(62)	0.642
Diabetes mellitus	1	(20)	15	(29)	1.000
Dyslipidaemia	2	(60)	35	(67)	0.332
Smoking	1	(20)	24	(46)	0.372
Clinical data
eGFR, mL/min–median (IQR)	57	(43.50–73	90	(68.50–113)	0.007
Hb, g/dl–mean (SD)	12.9	(1.3)	13.9	(1.3)	0.335
LDL-C–median (IQR)	136	(52–188)	123	(91–151)	0.922
NT-proBNP–median (IQR)	3307	(1034–3579)	764	(305–1893)	0.109
Plt count, 103/μL–mean (SD)	212	(28)	226	(69)	0.129
TnI max, ng/mL–median (IQR)	52.5	(23.2–104.8)	12.1	(3.1–36.4)	0.048
LVEF, %–mean (SD)	40.0	(7.1)	49.8	(8.9)	0.446
Pharmacotherapy at discharge
Aspirin–n (%)	5	(100)	52	(100)	1.000
P2Y12 inhibitor–n (%)	5	(100)	52	(100)	1.000
Statin–n (%)	5	(100)	51	(98)	0.754
β-blocker–n (%)	5	(100)	47	(90)	0.468
ACE-inhibitor or ARB–n (%)	5	(100)	50	(96)	0.655
Diuretics–n (%)	2	(40)	13	(25)	0.467
Aldosterone antagonists–n (%)	3	(60)	10	(19)	0.072
Protein pump inhibitor–n (%)	5	(100)	49	(94)	0.581
Cardiac rehabilitation–n (%)	4	(80)	40	(77)	0.437

Note: The statistically significant differences are marked bold.

Abbreviations: SD, standard deviation; BMI, body mass index; STEMI, ST-segment elevation myocardial infarction; eGFR, estimated glomerular filtration rate, calculated with the Cockcroft-Gault equation; IQR, interquartile range; Hb, haemoglobin; LDL-C, low-density lipoprotein-cholesterol; NT-proBNP, N-terminal pro-b-type natriuretic peptide; Plt, platelets; LVEF, left ventricular ejection fraction; ACE, angiotensin-converting enzyme; ARB, angiotensin-receptor blockers.

Figure 3 shows plasma concentrations of SDMA at admission in patients with AMI who developed MACE during the median of 3.5 years follow-up compared to those who did not. The concentration of SDMA was higher in patients who developed MACE compared to those who did not (p=0.015) and discriminated between these two groups of patients (area under the ROC curve [AUC]=0.83, p=0.014) in univariate analysis.

Figure 3

(A) Concentrations of endogenous arginine-related pathway metabolites in patients after acute myocardial infarction (AMI) who developed major adverse cardiovascular events (MACE), compared to those who did not during the median follow-up of 3.5 years. (B) ROC curve showing the predictive value of symmetric dimethylarginine (SDMA) for the MACE curve.

Table 4 shows the statistical estimate for the prediction of MACE by SDMA, including the cut-off value determined based on the ROC curve. The concentration of SDMA above the cut-off value predicted MACE with 80% sensitivity and 85% specificity (p=0.014). The plasma levels of other metabolites, ie, ADMA, arginine, ornithine, and citrulline did not differ between patients with and without MACE and did not predict MACE after AMI ().

Table 4

Statistical Estimate for Prediction of Major Adverse Cardiovascular Events by Symmetric Dimethylarginine (SDMA)

Metabolite	AUC (95% CI)	p-value	Cut-Off (ng/mL)	Sensitivity	Specificity	PPV	NPV
SDMA	0.83 (0.63–1.00)	0.014	160	80%	85%	33%	98%

Abbreviations: AUC, area under the curve; PPV, positive predictive value; NPV, negative predictive value; CI, confidence interval.

To check whether SDMA is an independent predictor of MACE, we incorporated this metabolite in a logistic regression model along with gender (male) and other clinical variables, which differed between patients with and without MACE. For age, creatinine clearance and peak troponin, we set the cut-off values based on the ROC curve, as following: age > 65 years, creatinine clearance < 50 mL/min, peak troponin > 35 ng/mL. Table 5 shows that SDMA was the only independent predictor of MACE after AMI in multivariate analysis (OR 18.992, CI 1.503–239.995, p=0.023).

Table 5

Multivariate Logistic Regression Model for Prediction of Major Adverse Cardiovascular Events by Symmetric Dimethylarginine Along with Clinical Variables

Variable	OR	95% CI		p-value
		Lower	Upper
Model 1 (unadjusted)
SDMA (>160 ng/mL)	22.000	2.168	223.234	0.009
Model 2 (adjusted for age and sex)
SDMA (>160 ng/mL)	16.883	1.585	179.783	0.019
Age (>65 years)	3.590	0.313	41.234	0.305
Gender (male)	0.606	0.048	7.723	0.700
Model 3 (adjusted for age, sex, TnI max and GFR)
SDMA (>160 ng/mL)	18.992	1.503	239.995	0.023
Age (>65 years)	1.606	0.095	27.232	0.743
Gender (male)	0.528	0.032	8.811	0.656
TnI max (>35 ng/mL)	3.813	0.331	43.882	0.283
GFR (<50 mL/min)	2.348	0.175	31.516	0.519

Abbreviations: OR, odds ratio; CI, confidence interval; TnI, troponin; GFR, glomerular filtration rate.

Figure 4 shows the Kaplan-Meier analysis of event-free survival for MACE in patients after AMI stratified according to SDMA plasma concentrations (low SDMA defined as SDMA concentration below the established cut-off, high SDMA defined as SDMA concentration above the established cut-off, based on the ROC curve). Patients with high baseline SDMA concentrations had a lower chance of event-free survival during the median follow-up of 3.5 years compared to patients with low SDMA concentrations (p=0.006 for the Log rank test).

Figure 4

Kaplan–Meier analysis of event-free survival for MACE in patients after AMI stratified according to the plasma SDMA concentrations during the median 3.5-year follow-up.

Correlation Between Platelet Reactivity and SDMA

Platelet reactivity in response to ADP and TRAP did not differ between patients with and without MACE (p=0.99, p=0.46, respectively; data not showed). However, there was an intermediate negative correlation between plasma SDMA level and platelet reactivity in response to ADP, but not TRAP (Figure 5). Other metabolites (ADMA, arginine, citrulline, and ornithine) did not correlate with platelet reactivity (data not showed).

Figure 5

Correlation between plasma symmetric dimethylarginine (SDMA) concentrations and platelet reactivity assessed using adenosine diphosphate test (ADP) and thrombin receptor-activating peptide-6 test (TRAP).

Discussion

Our study’s new finding is that plasma concentration of SDMA may serve as an independent predictor of MACE during the median 3.5-year follow-up after AMI. Furthermore, the presented study provides evidence of the contribution of the NO/L-Arg pathway metabolites (ADMA, SDMA, and citrulline) to cardiovascular pathology.

In this study, plasma concentrations of ADMA and SDMA were higher in AMI patients than in the healthy controls. The concentration of citrulline was lower in the AMI group than in control. These results indicate a potential role of the NO-related metabolites in the development of CAD and its complications, including AMI. The observed change in ADMA, SDMA and citrulline concentrations are compatible with the NO/L-Arg-related pathway physiology. Both ADMA and SDMA inhibit NOS. Whereas DMA is a direct NOS inhibitor, the mechanism of NOS inhibition by SDMA seems to be indirect.11 The increased concentration of these metabolites is associated with the decreased NO synthesis from the substrate arginine. This process is accompanied by lower levels of citrulline produced as a second product in the reaction. Whether disturbances in metabolites’ concentration from the NO/L-Arg-related pathway contribute to AMI development or simply reflect the pre-existing endothelial dysfunction remains to be established. In previous studies, the concentrations of ADMA and SDMA were elevated in patients with AMI, and patients with stable CAD and unstable angina pectoris compared to healthy controls.29,30 Patients with cardiometabolic diseases had increased ADMA and SDMA levels and decreased citrulline concentrations compared to healthy controls.31 Both SDMA and ADMA have been associated with several diseases related to endothelial dysfunction, such as hypertension, peripheral arterial occlusive disease, hypercholesterolemia, preeclampsia, stroke, or diabetes mellitus.32–37

Based on the results of the first part of our study, demonstrating that the concentration of ADMA, SDMA and citrulline differs in patients after AMI and controls, we further investigated the prognostic value of these metabolites for post-AMI MACE development. In the study, the plasma concentration of SDMA was the only independent predictor of MACE during the median 3.5-years after AMI. In other studies, SDMA predicted both the all-cause mortality and MACE in the general population and cardiovascular mortality in patients after stroke.38,39 Further, SDMA was associated with long-term mortality after AMI during the 1- to 2-year observation period.29,40,41 To the best of our knowledge, this study presents the longest follow-up period confirming previous findings.

Other authors found that ADMA was also an independent predictor of MACE after AMI.40–43 In our study, ADMA did not reach statistical significance to predict MACE. This may be due to the differences in patient baseline characteristics and follow-up times (1 year vs 3.5 years). Alternatively, it may also be related to the differences between SDMA and ADMA role in cardiovascular pathophysiology. Based on the previous studies, SDMA, but not ADMA, had a pro-inflammatory effect by stimulating reactive oxygen species production by monocytes.44 Moreover, although ADMA is considered the primary NOS inhibitor, a growing body of evidence demonstrates that SDMA interferes with NO bioavailability in at least two mechanisms: (i) by blocking NOS, although to a weaker extent than ADMA and (ii) by limiting L-Arg supply to NOS.45 The three NOS isoforms (eNOS, nNOS, and iNOS) produce NO very differently. There is evidence that a reduced expression of the eNOS isoenzyme and subsequent decreased production of NO are associated with AMI. For example, the heat shock protein, HSPA12B, was shown to attenuate cardiac dysfunction and reduces cardiac remodeling following MI via an eNOS-dependent mechanism.46 In addition, eNOS gene transfer blocks TGF-β1 signaling and thus facilitates ventricular remodeling following AMI by stimulating angiogenesis and inhibiting apoptosis.47 Hence, SDMA may modulate different isoforms than ADMA and to a different extent, which could be translated to a different predictive value in patients after AMI. Nevertheless, because our study is limited by a small sample size and number of events, the lack of association between SDMA and MACE could be due to the lack of statistical power and should be interpreted with great caution.

In a previous study, SDMA positively correlated with platelet activation as measured by β-thromboglobulin levels.39 In contrast, we showed an intermediate, negative correlation between SDMA plasma concentration and ADP-induced-platelet reactivity. These differences could be attributed to the various methods of platelet function analysis. Out of numerous platelet function methods, aggregometry-based tests such as impedance aggregometry used in this study dominate clinical practice.48 However, aggregometry provides information on platelet functionality in response to exogenous agonists, which do not fully mimic the process of platelet activation in vivo.49 β-thromboglobulin, in turn, is a platelet-specific chemokine secreted in vitro following blood collection at room temperature unless a particular anticoagulant is used, which may also lead to analytical bias.49 Thus, further studies are needed to elucidate the relationship between NO/L-Arg metabolites and platelet function.

Altogether, our findings provide evidence for a significant role of ADMA and SDMA, the endogenous inhibitors of the NO/L-arginine pathway, in cardiovascular pathology. Furthermore, we found that SDMA is a predictor of MACE after AMI in this patient cohort followed for 3.5 years. However, our results should be interpreted with caution due to the relatively small sample size and wide confidence interval of SDMA predictive value in multivariate analysis. Further research is required to elucidate the role of endogenous NO/L-Arg-related pathway metabolites in the pathophysiology of MACE and their long-term predictive value in cardiovascular disease.

Conclusions

Plasma concentrations of SDMA and ADMA significantly differ in patients with AMI and healthy volunteers. SDMA is a promising marker of increased risk of MACE after AMI during the long-term follow-up. Nevertheless, because our study is limited by a small sample size and number of events, the results should be interpreted with caution and validated in an independent cohort.