5.1. MicroRNAs and Coronary Artery Disease
Discontinuous and relatively discordant results have been reported in different reports involving cohorts of patients with ACS occurring in the two clinical conditions of stable angina (SA) and unstable angina (UA) pectoris. The data that emerged supports a relatively subtle meaning and the absence of a significant diagnostic value capable of explaining the real validity and efficacy of miRNAs in the diagnosis of the various forms of ACS. The diagnostic benefits associated with the investigation of miRNAs as biomarkers in the early diagnosis of unstable angina (UA) were established in a landmark paper from the German Center for Cardiovascular Research 10 years ago [
124]. The considerable albeit not conclusive results obtained from this study were because it was conducted in three phases with the enrollment of a large number of patients. In detail, 667 miRNAs were selected in the first screening phase by identifying three arms of patients. Acute coronary syndrome occurred as UA was disclosed in 10 subjects while non-cardiac chest pain (NCCP) in 10 others. The third cohort of patients encompassed 20 healthy subjects that were matched for sex and gender to those patients who exhibited UA. From the initial reference reservoir, screening identified 25 miRNAs interconnected to UA (p > 0.05), and to this, miR-1, miR-208a, and miR-208b were added. All these elements were evaluated in the second phase of replication for the final identification process. The second stage employed an independent patient cohort consisting of 49 UA and 48 NCCP patients. Eight miRNAs including miRNA-19a, miRNA-19b, miRNA-132, miRNA-140-3p, miRNA-142-5p, miRNA-150, miRNA-186, and miRNA-210, were considered critical to enter the final stage, due to their substantial commonality feature to be detected in patients presenting with UA in the first two stages. The third phase involved the validation and supported diagnostic capability of the miRNAs in UA subjects. Confirmation was achieved by examining forty-six UA and sixty-three NCCP patients from the first cohort. The baseline statistical asset was represented by their respective areas under the curve (AUC) which was calculated in patients with UA compared with patients with NCCP. It emerged that MiR-186 showed the best result (AUC=0.78). The second and third best-expressed miRNAs were miR-132 and miR-150, respectively reaching an AUC of 0.91 [
124].
More research was conducted within the same period. The aim was to evaluate, in CAD patients compared to healthy controls, both the circulating miRNA profiles and to find the expression of useful miRNAs, thus suggesting correct discrimination between SA and UA pectoris [
125]. The authors performed an initial screening of 367 miRNAs by recording key data of three miRNAs with higher expression levels in patients with coronary artery disease (CAD) than in those without the disease. An increase of miRNA-337-5p was reported only in SA, but not in UA. Instead, miRNA-433 and miRNA-485-3p were individually increased in both SA and UA compared to healthy controls. However, a substantial difference was not attributed to any of the three miRNAs regarding the clinical type of ACS hitherto supporting a specificity for SA or UA. The study was also directed at 14 previously investigated miRNAs that had advocated promising evidence. When comparing CAD patients and healthy controls, seven of these miRNAs were found to be dysregulated. The data emerged underlined for miRNA-1, miRNA-122, miRNA-126, miRNA-133a, miRNA-133b, and miRNA-199a substantially increased both in the presence of SA and UA, individually. Instead, miRNA-145 was significantly increased only in patients with UA. The statistical asset for AUC revealed predictive outcomes in the two groups analyzed. In the SA cohort of patients, three miRNAs had a predictive value > 0.85 compared to controls, with respective values of miRNA-1 = 0.918, miRNA-126 = 0.929, and miRNA-485-3p = 0.851. In the UA cohort, the respective AUC values for miRNA-1 = 0.92, miRNA-126 = 0.867 and miRNA-133a = 0.906 were found to be satisfactory (>0.85). The identifiable statistical asset in the AUC area was never considered effective when the two SA and UA arms were compared with the results not achieving diagnostic power. Although the combination of the three best miRNAs with an efficiency of 90.2% and 87.2% respectively could discriminate patients with SA and UA compared to non-pathological controls; however, between the two groups with CAD, the discriminatory capacity never exceeded 66% [
125]. The discrepancy in the results appears evident when comparing the former study with that of Fichtlscherer et al., [
126] in which the AUC area was assessed by correlating the two clinical conditions of CAD. It was observed that the levels of miR-17, miR-92a, miR-126, miR-145 and miR-155 were decreased in the CAD-SA group compared to healthy controls. Instead, miR-133a levels and miR-208a levels were increased, although the reported values did not suggest significance [
126]. In patients with CAD, the diagnostic potential of miRNAs with altered expression, thus constituting a cluster, was evaluated. In the first phase, 13 patients with UA and 13 controls with chest pain who did not demonstrate atherosclerosis during PCI were identified and screened using miRNA profiles. The presence of thirty-four significantly deregulated miRNAs was observed in the UA group. The innovative data of this study concerned the differentiation of miRNAs into clusters vs belonging to a specific family. If some of these miRNAs were derived from gene loci close to each other; they were defined as clusters, such as the miR-106b/25/93 cluster and the miR-17/19b/20a/92a cluster. Instead, miR-21/ family 590-5p was classified as belonging to the same family as it shared 5′ seed sequences with other miRNAs. Out of a total of 34 identified miRNAs, seven (miRNA-106b, miRNA-25, miRNA-92, miRNA-21, miRNA-590-5p, miRNA-126*, and miRNA-451) were selected based on criteria referable to the high levels of circulating abundance, previous findings and cluster definition or same family membership. From a separate cohort 3 groups of subjects 45 patients with UA, 31 patients with AS, and 37 controls were identified [
125].
Fichtlscherer et al. [
126] and et Ren al. [
127] first independently proposed the systematic determination of miRNA dosage, although they advocated substantial differences between acute coronary syndrome clinical settings. The most favorable target to demonstrate the emerging role of miRNAs was to find their up- or down-regulation. miRNA-17, miRNA-20a, miRNA-21, and miRNA-92a were downregulated in patients with CAD due to stable angina [
128], while upregulation was recorded in patients with CAD due to unstable angina [
127]. Thus, in unstable angina patients, all seven miRNAs were raised as compared to both stable angina and healthy controls even after adjustment for risk factors [
59]. In this clinical condition, it is possible to hypothesize that a signature of the miRNA-106b/25 cluster, the miRNA-17/92a cluster, the miRNA-21/590-5p family, miRNA-126*, and miRNA-451 could be used as a biomarker for AU [
127].
Recently a report by Su et al. [
129] assessed circulating microRNAs (miRNAs) as non-invasive, specific, and sensitive biomarkers for diagnosing coronary artery disease. 203 patients who experienced CAD and 144 age-matched controls (126 high-risk controls and 18 healthy volunteers) were enrolled by using the direct S-Poly(T)Plus method. The advantage of this process provided a sturdy quantification associated with the free RNA extraction procedure, which made plainer strategies, reduced variations, in particular raised accuracy. Direct S-Poly(T)Plus was able to identify novel miRNAs expression profiles of CAD subjects and assess their clinical diagnostic usefulness. Protocol mandated permission to identify twelve differentially expressed miRNAs amongst CAD patients. Likewise, high-risk controls were screened, and the performances of these miRNAs were assessed in validation set-1 with 96 plasma specimens. Ultimately from these 12 miRNAs six, which included miR-15b-5p, miR-29c-3p, miR-199a-3p, miR-320e, miR-361-5p, and miR-378b, were verified in validation set-2 with a sensitivity of 92.8% and a specificity of 89.5%, and the AUC reached 0.971 (95% confidence interval, 0.948-0.993, P < 0.001) in a large cohort for CAD subjects’ diagnosis. These results promote the efficacy of the direct S-Poly(T) Plus method which could be used for the diagnosis of CAD by targeting 12 unique miRNAs. Moreover, plasma fractionation suggested that only small amounts of miRNAs were collected into EVs [
129].
5.2. MicroRNAs and Acute Coronary Syndrome
This role was formally recognized in two seminal papers in which assorted separate cardiac and muscle-enriched miRNAs were evaluated and proposed as potential biomarkers of acute MI. [
125,
130] Subsequently following the emerging evidence, in a larger study dictated to establish the role of miRNAs in the diagnosis of MI, the levels of miRNA-208b and miRNA-499, as well as high sensitivity troponin (hs-Tn), were measured in 510 MI patients and 87 healthy controls [
131]. Davaux et al. [
131] suggested that both miRNAs were significantly increased in MI patients compared with controls. For miRNA-499 the statistical asset relative to the AUC area was equal to 0.97 when healthy subjects were compared with those who exhibited IM; however, greater diagnostic accuracy was not attributed to the emerged data, compared to the determination of the hs-Tn alone. If in patients in whom a diagnosis of myocardial infarction was erroneously established, and retrospective addition of miRNA-499 was subsequently performed to correct the evaluation, the diagnosis did not substantially improve [
131]. A relatively low sensitivity and specificity of miRNAs compared to cTn measurement has the effect of weakening the diagnostic potential of miRNAs. The expression of miRNA-1, miRNA-133a, miRNA-208b, miRNA-499, and cTnT were analyzed in 67 patients with acute MI while 32 constituted the control group of healthy volunteers [
132]. In patients with acute MI it was noted that of the four miRNAs analyzed, all were markedly increased within 12 hours of the onset of chest pain. Controls performed on day 14 after acute myocardial injury showed equivalent miRNA levels between groups. Evidence suggested that for all these miRNAs a useful role as biomarkers for AMI could be considered even if lower sensitivity and specificity distinguished the measurement of miRNAs from that of cTnT [
132].
A meta-analysis pooled data from these two previously reported studies [
132,
133] to compare the potential of microRNAs as biomarkers in patients experiencing MI versus values expressed in healthy subjects. In detail, 192 full-text articles were screened from which 19 articles were included in the final analysis. In 15 of these, the 4 miRNAs most frequently reported in the articles were extrapolated and then a detailed evaluation of the studied miRNAs was performed. miRNA-499 was evaluated in 8 studies, miRNA-1 in 7 studies, miRNA-208b in 6 studies, and miRNA-133a in 4 studies, respectively and providing a statistical asset with interesting results. miRNA-208b had a total sensitivity of 0.78 (95% CI: 0.76-0.81), a specificity of 0.88 (95% CI: 0.84-0.91), a diagnostic OR of 48.63 (95% CI: 14.60-162.01) and an AUC value of 0.8965, with P values > 0.01. As for miRNA-1 values, authors disclosed an overall sensitivity of 0.63 (95% CI: 0.59–0.66), a specificity of 0.76 (95% CI: 0.71–0.80), a diagnostic OR of 11.13 (95% CI: 4.09–30.26). The area AUC value was 0.8519 with P values > 0.01. miRNA-133a had a total sensitivity of 0.89 (95%CI: 0.83–0.94; P = 0.0047), specificity of 0.87 (95%CI: 0.79–0.92; P = 0.0262), a diagnostic OR of 54.40 (95%CI: 12.29–240.83, P = 0.0650). The AUC area revealed a value of 0.9434. MiRNA-499 revealed a total sensitivity of 0.88 (95% CI: 0.86-0.90), a specificity of 0.87 (95% CI: 0.84-0.90) with a diagnostic OR of 79.55 (95% CI: 20.20-313.24); Furthermore, the value of the AUC area was 0.9584. The reported values suggested that all miRNAs were consistent as accepted biomarkers of MI. Again, miRNA-133a and miRNA-499 may retain a prominent role as biomarkers for MI, however, the function of miRNA-208b requires further investigation [
133].
For a long time, the function of circulating miRNAs has been studied in the cellular components of whole blood and no findings have been provided in the subcomponents. Ward et al. [
134] initially used a quantitative real-time polymerase-chain reaction system (qRT-PCR) to investigate the miRNA profiles of whole blood subcomponents in patients with ACS and focused research on plasma, leukocytes, and platelets. Patient cohorts included thirteen AMI patients admitted to the emergency department or undergoing PCI with electrocardiographic signs of ST-segment elevation (STEMI) or non-ST-segment elevation (NSTEMI). Whole blood was recovered from arterial blood samples during PCI. The cell-specific miRNA profiling required by the protocol specifically included the expression of 343 miRNAs that were quantified from whole blood, plasma, peripheral blood mononuclear cells, and platelets. Specifically, there were three different conditions encountered that provided substance to the discussion. Patients who exhibited STEMI revealed higher levels of miRNAs which noted increased expression of miR-25-3p, miR-221-3p, and miR-374b-5p as compared to the NSTEMI cohort. The expression of miRNA 30d-5p non-coding RNA sequences was linked to plasma, platelets, and leukocytes either in STEMI or NSTEMI cohorts. On the contrary miRNAs 221-3p and 483-5p were associated with plasma and platelets only in NSTEMI patients. The authors first advocated that cell-specific miRNAs were substantially different in the cohorts of patients with STEMI and NSTEMI. Likewise, from this study, it emerged that the distribution of miRNA was unique among plasma, platelets, and leukocytes in patients with ischemic heart disease or ACS. Furthermore, given the reported results it was suggested that unique miRNA profiles among the circulating subcomponents characterized patients with myocardial ischemia [
134].
Potential bias for broad validation of the diagnostic power of miRNAs in different clinical settings of ACS, including SA, UA, and AMI in patients admitted in ED or undergoing PCI, is represented by a low number of subjects studied. This condition could not considerably assess the interconnection of microRNAs with clinical features and their potential prognostic value. Widera et al. [
135] counteracted this concern by assessing the diagnostic and prognostic utility of cardiomyocyte-enriched microRNAs in the circumstances of different clinical settings. Nevertheless, their findings reinvigorated previous speculations about the potential utility of cardiomyocyte-enriched microRNAs as diagnostic or prognostic markers in ACS. In the report, sensitive myonecrosis biomarkers in a larger ACS cohort with 444 subjects were evaluated. Concentration levels of MiR-1, miR-133a, miR-133b, miR-208a, miR-208b, and miR-499 were determined by quantitative reverse transcription PCR in plasma samples obtained after patients’ admission in ED or who received a PCI. Multiple linear regression analysis including clinical variables and hsTnT, miR-1, miR-133a, miR-133b, and miR-208b advocated an independent association with hsTnT levels (all P<0.001). Importantly in patients who exhibited myocardial infarction, higher levels of miR-1, miR-133a, and miR-208b occurred compared to those who had unstable angina. However, all six investigated microRNAs noted a wide range across subjects with unstable angina or myocardial infarction. Levels of non-coding RNA sequences such as miR-133a and miR-208b were crucially related to the risk of death in univariate and age- and gender-adjusted analyses. However, in further statistical discrimination performed after further adjustment for hsTnT, both microRNAs lost their independent association for mortality outcome [
135].
Oerlemans et al. [
136] prospectively studied the role of circulating microRNAs in ACS using a large cohort of patients, so that the performed analysis could statistically reinforce the results emerging from previous studies that were based on a smaller number of patients. Furthermore, previously performed studies were not designed to involve comparisons with stability markers of cardiac damage and were flawed by the presence of appropriate controls. Briefly, 332 patients with suspected ACS admitted to the ED were enrolled for a single-center evaluation on the potential diagnostic value of circulating microRNAs as novel biomarkers which included cardiac miRNAs (miR-1, -208a, and -499), miR -21 and miR-146a. Subjects with STEMI were not considered for the enrollment which included both UA and NSTEMI patients. The levels of all analyzed miRNAs were markedly increased in 106 patients diagnosed with ACS. These values were also confirmed in patients with initially negative high-sensitivity (hs) troponin or symptom onset <3 hours. In particular, three specific miRNAs, MiR-1, miR-499, and miR-21 had a markedly diagnostic value in all patients hospitalized for suspected ACS in combination with increased hs-troponin levels. The AUC value was statistically significant (from AUC = 0.85 to AUC = 0.90; p > 0.001). Two points emerged promoting these three circulating microRNAs as strong predictors of ACS. The former was their independence from clinical co-variables including patient history and cardiovascular risk factors. The second demonstrated, under the highly reliable statistical profile, that the combination of these three miRNAs generated a higher AUC area with a value of 0.94 compared to hs-troponin T (0.89). Findings suggested that patients with NSTEMI had higher levels of miRNA-208a and miRNA-146a than patients with UA. Conversely, increased levels of miRNA-1 and miRNA-499 tended towards a clinical picture of UA and the levels measured in these patients exceeded those recorded in patients with NSTEMI. miRNA-21 was comparable between NSTEMI and UA subjects. Circulating microRNAs detected in patients with non-ST elevation ACS (NSTE-ACS) and with UA provide great potential as new early biomarkers for the management of patients who are suspected of having ACS [
136].
Bai et al. [
137] have broadened the field of action by recovering a more assorted typology of subjects with ACS. The authors with the use of gene chip technology evaluated miRNA expression in patients with SA, NSTE-ACS, and ST-segment elevation myocardial infarction (STEMI). 5 patients from each group and 5 controls without CAD were enrolled. All subjects had three or more risk factors. Microarray analysis was used to highlight differential miRNA expression which was confirmed by qRT-PCR. Patients in the control group and those included in the SA or NSTE-ACS groups revealed differentially expressed microRNAs that were involved in inflammation, protein phosphorylation, and cell adhesion, compared with miRNAs from STEMI patients. In addition, differentially expressed miRNAs were observed to be related to mitogen-activated protein kinase signaling, calcium ion pathways, and cell adhesion pathways [
137]. It is important to dwell on some points which reinforce the novelty of this study. First, significant upregulation of miR-941, miR-363-3p, and miR-182-5p levels were recorded (fold-change: 2.0 or more, P < 0.05) in control, AS or NSTE- ACS, respectively when compared to data for expression levels in patients with STEMI. Second, data from qRT-PCR analysis noted the plasma miR-941 level was elevated in the NSTE-ACS or STEMI cohorts compared with that in patients without CAD (fold-change: 1.65 and 2.28, respectively; P < 0.05). Third, miR-941 expression was cross-matched between groups. This expression was raised considerably in the STEMI group compared to SA (P < 0.01) and NSTE-ACS (P < 0.05) groups. Likewise, miR-941 expression was higher in ACS patients with NSTE-ACS or STEMI, as compared to patients with AS or without ACS or CAD (P < 0,01). Significant differences in miR-182-5p and miR-363-3p expression were not observed. The areas under the receiver operating characteristic curves were 0.896, 0.808, and 0.781 for patients in the control, AS, and ACS-NSTE groups, respectively, compared with those for STEMI patients. In contrast, that for the ACS group compared with the non-ACS group was 0.734. Evidence suggested that miR-941 expression was relatively higher in patients with ACS and STEMI which may be speculative for the role of miR-941 as a potential biomarker of ACS or STEMI [
137].
Two studies by Wang et al. [
138,
139] deserve comprehensive discussion in the context of atherosclerosis-related circulating miRNAs and advocate the role of novel and sensitive predictors for acute myocardial infarction. Although the authors reported altered expressions of circulating miRNA-21-5p, miRNA-361-5p, and circulating miRNA-519e-5p in patients with coronary atherosclerosis through the use of miRNA microarrays. However, there was no solid evidence for a global role of the expression levels of these circulating miRNAs in the early phase of AMI.
In the former study [
138] the expressions of circulating miR-21-5p, miR-361-5p, and miR-519e-5p were studied in AMI patients, and at the same time, their clinical applications for AMI diagnosis and monitoring were evaluated. Study cohorts included the first cohort composed of 17 AMI patients and 28 healthy volunteers while the second cohort consisted of 9 AMI patients, 9 ischemic stroke patients, 8 pulmonary embolism patients, and 12 healthy volunteers. Quantitative real-time PCR and ELISA assays to identify plasma miRNA and cardiac troponin I (cTnI) concentrations, respectively, were performed. The evidence proved that in patients with AMI, the plasma levels of miR-21-5p and miR-361-5p were considerably increased while the concentration of circulating miR-519e-5p was decreased. The significant data was represented by the correlated increase of the levels of these circulating miRNAs with the concentrations of plasma cTnI. At an evaluation of the receiver operating characteristics (ROC), it was observed that these three circulating miRNAs retained a remarkable diagnostic precision for AMI highlighting high values of area under the ROC curve (AUC). Therefore, it clearly emerged that the combination of the three miRNAs crucially raised the diagnostic accuracy. Furthermore, cell experiments provided a reasonable explanation about the origin of these plasma miRNAs that may originate from damaged cardiomyocytes promoted by hypoxia. Again, an important finding concerned the raised levels of all three circulating miRNAs in ischemic stroke (IS) and pulmonary embolism (PE) which contrasted the finding of reduced level of plasma miR-519e-5p reported only in patients who exhibited AMI. Crosswise ROC analysis advocated that circulating miR-519e-5p may be a useful biomarker to discriminate AMI from other ischemic diseases. In this report, Wang et al. fixed that circulating miRNAs may be considered novel and powerful biomarkers for AMI and could represent a potential diagnostic tool for AMI [
138].
In later work, Wang et al. [
139] narrowed down the field of investigation on the relationship between circulating miRNAs and high-risk features in patients with NSTE-ACS using a GRACE (Global Registry of Acute Coronary Events) analysis. RNA was extracted from the whole blood of 199 patients with NSTE-ACS and whole genome miRNA sequencing was performed. To test the validity of the study, 13 high-risk clinical traits were associated with the use of generalized linear models. In this respect, the GRACE risk score is widely validated for mortality in patients with ACS-NSTE. 205 nominally significant (p < 0.05) miRNA risk factor associations were reported. Of note, significant combinations were observed most frequently with chronic heart failure (HF) which stressed 43 miR. Again, the GRACE risk score underscored 30 miR and renal function 32 miR, respectively. Concerns related to the hierarchical cluster analysis highlighted that chronic HF risk score and GRACE were distinguished by a tendency to cluster more closely together, splitting 14 miRNAs with matching fold-change direction. After eliminating a 5% false discovery rate, chronic heart failure had a significant association with lower circulating levels of miR-3135b (p < 0.0006), miR-126-5p (p < 0.0001), miR -142-5p (p = 0.0004) and miR-144-5p (p = 0.0007). Conversely, the raise in GRACE risk score was inversely tailed with miR-3135b levels (p < 0.0001) and positively tailed with miR-28-3p levels (p = 0.0002. Despite the need to validate with more substantial evidence, the results of two miRs emerged in the study, accentuating the evidence that circulating miRs cluster around two potent traits for mortality risk in NSTE-ACS. For MiR-3135b, under expression has been reported in chronic heart failure associated with an increase in GRACE risk score whereas in the miR-28-3p cluster, no known association with cardiovascular disease has been reported [
139].
Kaur et al. [
140] evaluated dysregulated miRNA biomarkers in CAD after screening 140 original articles that advocated appropriate evidence for data mining. The systematic review pooled data from these reported studies to compare miRNAs identified in patients suffering from ACS matched with stable CAD patients and control populations. The most usually indicated miRNAs in any CAD were miR-1, miR-133a, miR-208a/b, and miR-499 which were also noted in abundance within the heart. These miRNAs performed a decisive function in cardiac physiology. For an in-depth analysis of the studies that compared subjects with symptoms referable to ACS with patients who manifested stable CAD, miR-21, miR-208a/b, miR-133a/b, miR-30 family, miR-19 and miR -20 were reported more routinely as dysregulated in the ACS group. Authors observed that several miRNAs were consistently available across studies alongside their utterances in either the ACS group or stable CAD group, compared to controls. However, some miRNAs have been identified as biomarkers specifically in ACS patients who expressed plasma levels of miR-499, miR-1, miR-133a/b, and miR -208a/b and in stable CAD patients with plasma levels of miR-215, miR-487a and miR-502. Thus, higher plasma levels of miR-21, miR-133, and miR-499 appear to advocate greater potential as biomarkers to distinguish the diagnosis of ACS from stable CAD. Particular attention should be paid to miR-499 which disclosed a connection between the level of its concentration slope and myocardial damage. It is important to underline that although these miRNAs may provide direct guidance toward potential diagnostic biomarkers, the reported results suggest caution in their interpretation. Concerns are related to the conduct of most studies based on candidate-driven predefined assessments of a limited number of miRNAs [
140].
Recently, Zhelankin et al. [
141] studied circulating microRNAs as non-invasive biomarkers of cardiovascular disease in CAD and ACS. The authors emphasized the concerns about controversy and inconsistency of data reported for some miRNA, which probably was due to pre-analytical and methodological discrepancies that emerged in diverse studies. Quantitative PCR to measure the relative plasma levels of eight circulating miRNAs was used and potentially correlated to the atherosclerosis process. The cohort included 136 adult subjects with clinical onset of CAD or ACS that included NSTEMI and STEMI admitted patients. Controls included outpatient healthy patients or subjects with hypertension without CAD. The plasma levels of miR-21-5p and miR-146a-5p were significantly increased in patients who disclosed ACS while the level of miR-17-5p was reduced in subjects presenting with ACS and stable CAD as compared to control patients which included healthy or hypertensive without CAD, respectively. Within the ACS patient group, no differences were found in the plasma levels of these miRNAs between patients with positive and negative troponins, nor were any differences found between STEMI and NSTEMI. Our results indicate that increased plasma levels of miR-146a-5p and miR-21-5p can be considered general ACS circulating biomarkers and that lowered miR-17-5p can be considered a general biomarker of CAD. Concerning patients included in the ACS group, no differences were revealed in the plasma levels of these miRNAs whilst the group of patients exhibited positive and negative troponin levels, nor were any differences within the subjects’ group who had STEMI and NSTEMI. This evidence suggested that raised plasma levels of miR-146a-5p and miR-21-5p may be classified as general ACS circulating biomarkers and that lowered levels of miR-17-5p may be a general biomarker of CAD [
141].