MiR-126-3p and MiR-223-3p as Biomarkers for Prediction of Thrombotic Risk in Patients with Acute Myocardial Infarction and Primary Angioplasty
Status PubMed-not-MEDLINE Jazyk angličtina Země Švýcarsko Médium electronic
Typ dokumentu časopisecké články
Grantová podpora
CZ.01.1.02/0.0/0.0/16_084/0008832
Ministerstvo Průmyslu a Obchodu
P35 and Q38
Univerzita Karlova v Praze
PubMed
34199723
PubMed Central
PMC8230013
DOI
10.3390/jpm11060508
PII: jpm11060508
Knihovny.cz E-zdroje
- Klíčová slova
- acute myocardial infarction, antithrombotic therapy individualization, miR-126-3P, miR-223-3p, microRNA, risk stratification,
- Publikační typ
- časopisecké články MeSH
Aim. This study was designed to evaluate the relationship between microRNAs (miRNAs), miR-126-3p and miR-223-3p, as new biomarkers of platelet activation, and predicting recurrent thrombotic events after acute myocardial infarction (AMI). Methods and Results. The analysis included 598 patients randomized in the PRAGUE-18 study (ticagrelor vs. prasugrel in AMI). The measurements of miRNAs were performed by using a novel miRNA immunoassay method. The association of miRNAs with the occurrence of the ischemic endpoint (EP) (cardiovascular death, nonfatal MI, or stroke) and bleeding were analyzed. The miR-223-3p level was significantly related to an increased risk of occurrence of the ischemic EP within 30 days (odds ratio (OR) = 15.74, 95% confidence interval (CI): 2.07-119.93, p = 0.008) and one year (OR = 3.18, 95% CI: 1.40-7.19, p = 0.006), respectively. The miR-126-3p to miR-223-3p ratio was related to a decreased risk of occurrence of EP within 30 days (OR = 0.14, 95% CI: 0.03-0.61, p = 0.009) and one year (OR = 0.37, 95% CI: 0.17-0.82, p = 0.014), respectively. MiRNAs were identified as independent predictors of EP even after adjustment for confounding clinical predictors. Adding miR-223-3p and miR-126-3p to miR-223-3p ratios as predictors into the model calculating the ischemic risk significantly increased the predictive accuracy for combined ischemic EP within one year more than using only clinical ischemic risk parameters. No associations between miRNAs and bleeding complications were identified. Conclusion. The miR-223-3p and the miR-126-3p are promising independent predictors of thrombotic events and can be used for ischemic risk stratification after AMI.
BioVendor Laboratory Medicine 621 00 Brno Czech Republic
Cardiocentre Department of Cardiology Regional Hospital 370 01 Ceske Budejovice Czech Republic
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Pasquinelli A.E. MicroRNAs and their targets: Recognition, regulation and an emerging reciprocal relationship. Nat. Rev. Genet. 2012;13:271–282. doi: 10.1038/nrg3162. PubMed DOI
Small E.M., Olson E.N. Pervasive roles of microRNAs in cardiovascular biology. Nat. Cell Biol. 2011;469:336–342. doi: 10.1038/nature09783. PubMed DOI PMC
Eitel I., Adams V., Dieterich P., Fuernau G., de Waha S., Desch S., Schuler G., Thiele H. Relation of circulating MicroRNA-133a concentrations with myocardial damage and clinical prognosis in ST-elevation myocardial infarction. Am. Heart J. 2012;164:706–714. doi: 10.1016/j.ahj.2012.08.004. PubMed DOI
Wang G.-K., Zhu J.-Q., Zhang J.-T., Li Q., Li Y., He J., Qin Y.-W., Jing Q. Circulating microRNA: A novel potential biomarker for early diagnosis of acute myocardial infarction in humans. Eur. Heart J. 2010;31:659–666. doi: 10.1093/eurheartj/ehq013. PubMed DOI
Jakob P., Kacprowski T., Briand-Schumacher S., Heg D., Klingenberg R., Stähli B.E., Jaguszewski M., Rodondi N., Nanchen D., Räber L., et al. Profiling and validation of circulating microRNAs for cardiovascular events in patients presenting with ST-segment elevation myocardial infarction. Eur. Heart J. 2016;38:511–515. doi: 10.1093/eurheartj/ehw563. PubMed DOI
Zampetaki A., Willeit P., Tilling L., Drozdov I., Prokopi M., Renard J.-M., Mayr A., Weger S., Schett G., Shah A., et al. Prospective Study on Circulating MicroRNAs and Risk of Myocardial Infarction. J. Am. Coll. Cardiol. 2012;60:290–299. doi: 10.1016/j.jacc.2012.03.056. PubMed DOI
De Rosa R., De Rosa S., Leistner D., Boeckel J.N., Keller T., Fichtlscherer S., Dimmeler S., Zeiher A.M. Transcoronary Concentration Gradient of microRNA-133a and Outcome in Patients With Coronary Artery Disease. Am. J. Cardiol. 2017;120:15–24. doi: 10.1016/j.amjcard.2017.03.264. PubMed DOI
Kaudewitz D., Skroblin P., Bender L.H., Barwari T., Willeit P., Pechlaner R., Sunderland N.P., Willeit K., Morton A.C., Armstrong P.C., et al. Association of MicroRNAs and YRNAs With Platelet Function. Circ. Res. 2016;118:420–432. doi: 10.1161/CIRCRESAHA.114.305663. PubMed DOI PMC
Willeit P., Zampetaki A., Dudek K., Kaudewitz D., King A., Kirkby N.S., Crosby-Nwaobi R., Prokopi M., Drozdov I., Langley S.R., et al. Circulating MicroRNAs as Novel Biomarkers for Platelet Activation. Circ. Res. 2013;112:595–600. doi: 10.1161/CIRCRESAHA.111.300539. PubMed DOI
Shi R., Ge L., Zhou X., Ji W.-J., Lu R.-Y., Zhang Y.-Y., Zeng S., Liu X., Zhao J.-H., Zhang W.-C., et al. Decreased platelet miR-223 expression is associated with high on-clopidogrel platelet reactivity. Thromb. Res. 2013;131:508–513. doi: 10.1016/j.thromres.2013.02.015. PubMed DOI
Motovska Z., Hlinomaz O., Miklik R., Hromadka M., Varvarovsky I., Dusek J., Knot J., Jarkovsky J., Kala P., Rokyta R., et al. Prasugrel versus ticagrelor in patients with acute myocardial infarction treated with primary percutaneous coronary intervention: Multicentre randomized PRAGUE-18 study. Circulation. 2016;134:1603–1612. doi: 10.1161/CIRCULATIONAHA.116.024823. PubMed DOI
Motovska Z., Hlinomaz O., Kala P., Hromadka M., Knot J., Varvarovsky I., Dušek J., Jarkovsky J., Miklik R., Rokyta R., et al. 1-Year Outcomes of Patients Undergoing Primary Angioplasty for Myocardial Infarction Treated with Prasugrel Versus Ticagrelor. J. Am. Coll. Cardiol. 2018;71:371–381. doi: 10.1016/j.jacc.2017.11.008. PubMed DOI
Krepelkova I., Mrackova T., Izakova J., Dvorakova B., Chalupova L., Mikulik R., Slaby O., Bartos M., Ruzicka V. Evaluation of miRNA detection methods for the analytical characteristic necessary for clinical utilization. Biotechniques. 2019;66:277–284. doi: 10.2144/btn-2019-0021. PubMed DOI
Jansen F., Yang X., Proebsting S., Hoelscher M., Przybilla D., Baumann K., Schmitz T., Dolf A., Endl E., Franklin B.S., et al. MicroRNA Expression in Circulating Microvesicles Predicts Cardiovascular Events in Patients with Coronary Artery Disease. J. Am. Heart Assoc. 2014;3:e001249. doi: 10.1161/JAHA.114.001249. PubMed DOI PMC
Schulte C., Molz S., Appelbaum S., Karakas M., Ojeda F., Lau D.M., Hartmann T., Lackner K.J., Westermann D., Schnabel R.B., et al. miRNA-197 and miRNA-223 Predict Cardiovascular Death in a Cohort of Patients with Symptomatic Coronary Artery Disease. PLoS ONE. 2015;10:e0145930. doi: 10.1371/journal.pone.0145930. PubMed DOI PMC
Knuuti J., Wijns W., Saraste A., Capodanno D., Barbato E., Funck-Brentano C., Prescott E., Storey R.F., Deaton C., Cuisset T., et al. 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. Eur. Heart J. 2020;41:407–477. doi: 10.1093/eurheartj/ehz425. PubMed DOI
Matsumoto S., Sakata Y., Suna S., Nakatani D., Usami M., Hara M., Kitamura T., Hamasaki T., Nanto S., Kawahara Y., et al. Circulating p53-Responsive MicroRNAs Are Predictive Indicators of Heart Failure After Acute Myocardial Infarction. Circ. Res. 2013;113:322–326. doi: 10.1161/CIRCRESAHA.113.301209. PubMed DOI
Landry P., Plante I., Ouellet D.L., Perron M.P., Rousseau G., Provost P. Existence of a microRNA pathway in anucleate platelets. Nat. Struct. Mol. Biol. 2009;16:961–966. doi: 10.1038/nsmb.1651. PubMed DOI PMC
Cavarretta E., Chiariello G.A., Condorelli G. Platelets, endothelium, and circulating microRNA-126 as a prognostic biomarker in cardiovascular diseases: Per aspirin ad astra. Eur. Heart J. 2013;34:3400–3402. doi: 10.1093/eurheartj/eht032. PubMed DOI
Lee S.-Y., Hong M.-K., Palmerini T., Kim H.-S., Valgimigli M., Feres F., Colombo A., Gilard M., Shin D.-H., Kim J.-S., et al. Short-term versus long-term dual antiplatelet therapy after drug-eluting stent implantation in elderly patients: A meta-analysis of individual participant data from six randomized trials. J. Am. Coll. Cardiol. 2018;71:A1323. doi: 10.1016/S0735-1097(18)31864-3. PubMed DOI
Chew D.P., Lincoff A.M., Gurm H., Wolski K., Cohen D.J., Henry T., Feit F., Topol E.J. Bivalirudin versus heparin and glycoprotein IIb/IIIa inhibition among patients with renal impairment undergoing percutaneous coronary intervention (a subanalysis of the Replace-2 trial) Am. J. Cardiol. 2005;95:581–585. doi: 10.1016/j.amjcard.2004.11.003. PubMed DOI
Kereiakes D.J., Yeh R.W., Massaro J.M., Cutlip D.E., Steg P.G., Wiviott S.D., Mauri L. DAPT Score Utility for Risk Prediction in Patients With or Without Previous Myocardial Infarction. J. Am. Coll. Cardiol. 2016;67:2492–2502. doi: 10.1016/j.jacc.2016.03.485. PubMed DOI
Costa F., van Klaveren D., James S., Heg D., Räber L., Feres F., Pilgrim T., Hong M.-K., Kim H.-S., Colombo A., et al. Derivation and validation of the predicting bleeding complications in patients undergoing stent implantation and subsequent dual antiplatelet therapy (Precise-DAPT) score: A pooled analysis of individual-patient datasets from clinical trials. Lancet. 2017;389:1025–1034. doi: 10.1016/S0140-6736(17)30397-5. PubMed DOI
Mehran R., Baber U., Sharma S.K., Cohen D.J., Angiolillo D.J., Briguori C., Cha J.Y., Collier T., Dangas G., Dudek D., et al. Ticagrelor with or without Aspirin in High-Risk Patients after PCI. N. Engl. J. Med. 2019;381:2032–2042. doi: 10.1056/NEJMoa1908419. PubMed DOI
Cesaro A., Moscarella E., Gragnano F., Perrotta R., Diana V., Pariggiano I., Concilio C., Alfieri A., Cesaro F., Mercone G., et al. Transradial access versus transfemoral access: A comparison of outcomes and efficacy in reducing hemorrhagic events. Expert Rev. Cardiovasc. Ther. 2019;17:435–447. doi: 10.1080/14779072.2019.1627873. PubMed DOI
Schulte C., Joshi A., Mayr M. Response by Schulte et al to Letter Regarding Article, “Comparative Analysis of Circulating Noncoding RNAs Versus Protein Biomarkers in the Detection of Myocardial Injury”. Circ. Res. 2019;125:e22–e23. doi: 10.1161/CIRCRESAHA.119.315545. PubMed DOI
Price M.J., Berger P.B., Teirstein P.S., Tanguay J.F., Angiolillo D.J., Spriggs D., Puri S., Robbins M., Garratt K.N., Bertrand O.F., et al. Gravitas Investigator. Standard- vs high-dose clopidogrel based on platelet function testing after percutaneous coronary intervention: The GRAVITAS randomized trial. JAMA. 2011;305:1097–1105. doi: 10.1001/jama.2011.290. PubMed DOI
Collet J.-P., Cuisset T., Rangé G., Cayla G., Elhadad S., Pouillot C., Henry P., Motreff P., Carrie D., Boueri Z., et al. Bedside Monitoring to Adjust Antiplatelet Therapy for Coronary Stenting. N. Engl. J. Med. 2012;367:2100–2109. doi: 10.1056/NEJMoa1209979. PubMed DOI
Mega J.L., Braunwald E., Wiviott S.D., Bassand J.-P., Bhatt D.L., Bode C., Burton P., Cohen M., Cook-Bruns N., Fox K.A., et al. Rivaroxaban in Patients with a Recent Acute Coronary Syndrome. N. Engl. J. Med. 2012;366:9–19. doi: 10.1056/NEJMoa1112277. PubMed DOI
Connolly S.J., Eikelboom J.W., Bosch J., Dagenais G., Dyal L., Lanas F., Metsarinne K., O’Donnell M., Dans A.L., Ha J.-W., et al. Rivaroxaban with or without aspirin in patients with stable coronary artery disease: An international, randomised, double-blind, placebo-controlled trial. Lancet. 2018;391:205–218. doi: 10.1016/S0140-6736(17)32458-3. PubMed DOI
Bonaca M.P., Bhatt D.L., Steg P.G., Storey R., Cohen M., Im K., Ophuis T.O., Budaj A., Goto S., López-Sendón J., et al. Ischaemic risk and efficacy of ticagrelor in relation to time from P2Y12inhibitor withdrawal in patients with prior myocardial infarction: Insights from PEGASUS-TIMI 54. Eur. Heart J. 2016;37:1133–1142. doi: 10.1093/eurheartj/ehv531. PubMed DOI
Cesaro A., Taglialatela V., Gragnano F., Moscarella E., Fimiani F., Conte M., Barletta V., Monda E., Limongelli G., Severino S., et al. Low-Dose Ticagrelor in Patients With High Ischemic Risk and Previous Myocardial Infarction: A Multicenter Prospective Real-World Observational Study. J. Cardiovasc. Pharmacol. 2020;76:173–180. doi: 10.1097/FJC.0000000000000856. PubMed DOI