Circulating MIR-155, MIR-145 and let-7c as diagnostic biomarkers of the coronary artery disease

Scientific Reports

Volumn 7, Issue , 2017, Pages

  Faccini, Julien ^a,b   Ruidavets, Jean Bernard ^b,c,d   Cordelier, Pierre ^e   Martins, Frédéric ^f   Maoret, Jean José ^f   Bongard, Vanina ^b,c   Ferrières, Jean ^b,c,d   Roncalli, Jérôme ^c   Elbaz, Meyer ^a,b,c   Vindis, Cécile ^a,b  

^a University Hospital of Toulouse   (France)

^b UNIVERSITÉ PAUL SABATIER   (France)

^c TOULOUSE UNIVERSITY HOSPITAL   (France)

^d Faculté de Médecine Centre Hospitalo universitaire   (France)

^e CANCER RESEARCH CENTER OF TOULOUSE   (France)

^f PlateformeGeT ^*  (France)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; MICRORNA; MIRN145 MICRORNA, HUMAN; MIRN155 MICRORNA, HUMAN; MIRNLET7 MICRORNA, HUMAN;

AGED; AREA UNDER THE CURVE; BLOOD; CASE CONTROL STUDY; CORONARY ARTERY DISEASE; CROSS-SECTIONAL STUDY; GENETICS; HUMAN; MALE; METABOLISM; MIDDLE AGED; REAL TIME POLYMERASE CHAIN REACTION; RECEIVER OPERATING CHARACTERISTIC;

AGED; AREA UNDER CURVE; BIOMARKERS; CASE-CONTROL STUDIES; CORONARY ARTERY DISEASE; CROSS-SECTIONAL STUDIES; HUMANS; MALE; MICRORNAS; MIDDLE AGED; REAL-TIME POLYMERASE CHAIN REACTION; ROC CURVE;

EID: 85013001138     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep42916     Document Type: Article

References (35)

1. Bartel, D. P. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 116, 281-297 (2004).
2. Welten, S. M., Goossens, E. A., Quax, P. H. & Nossent, A. Y. The multifactorial nature of microRNAs in vascular remodelling. Cardiovascular research 110, 6-22, doi: 10. 1093/cvr/cvw039 (2016).
3. Thum, T. & Condorelli, G. Long noncoding RNAs and microRNAs in cardiovascular pathophysiology. Circ Res 116, 751-762, doi: 10. 1161/circresaha. 116. 303549 (2015).
4. Creemers, E. E., Tijsen, A. J. & Pinto, Y. M. Circulating microRNAs: novel biomarkers and extracellular communicators in cardiovascular disease Circ Res 110, 483-495, doi: 10. 1161/circresaha. 111. 247452 (2012).
5. Boon, R. A. & Vickers, K. C. Intercellular transport of microRNAs. Arterioscler Thromb Vasc Biol 33, 186-192, doi: 10. 1161/atvbaha. 112. 300139 (2013).
6. Gupta, S. K., Bang, C. & Thum, T. Circulating microRNAs as biomarkers and potential paracrine mediators of cardiovascular disease. Circulation. Cardiovascular genetics 3, 484-488, doi: 10. 1161/circgenetics. 110. 958363 (2010).
7. Fichtlscherer, S. et al. Circulating microRNAs in patients with coronary artery disease. Circ Res 107, 677-684, doi: 10. 1161/circresaha. 109. 215566 (2010).
8. Niculescu, L. S. et al. MiR-486 and miR-92a Identified in Circulating HDL Discriminate between Stable and Vulnerable Coronary Artery Disease Patients. PloS one 10, e0140958, doi: 10. 1371/journal. pone. 0140958 (2015).
9. Ren, J. et al. Signature of circulating microRNAs as potential biomarkers in vulnerable coronary artery disease. PloS one 8, e80738, doi: 10. 1371/journal. pone. 0080738 (2013).
10. Bao, M. H. et al. Let-7 in cardiovascular diseases, heart development and cardiovascular differentiation from stem cells. International journal of molecular sciences 14, 23086-23102, doi: 10. 3390/ijms141123086 (2013).
11. Hulsmans, M. & Holvoet, P. MicroRNA-containing microvesicles regulating inflammation in association with atherosclerotic disease. Cardiovascular research 100, 7-18, doi: 10. 1093/cvr/cvt161 (2013).
12. Weber, M. et al. MicroRNA Expression Profile in CAD Patients and the Impact of ACEI/ARB. Cardiology research and practice 2011, 532915, doi: 10. 4061/2011/532915 (2011).
13. Zhu, G. F. et al. microRNA-155 is inversely associated with severity of coronary stenotic lesions calculated by the Gensini score. Coronary artery disease 25, 304-310, doi: 10. 1097/mca. 0000000000000088 (2014).
14. Elia, L. et al. The knockout of miR-143 and-145 alters smooth muscle cell maintenance and vascular homeostasis in mice: correlates with human disease. Cell Death Differ 16, 1590-1598, doi: 10. 1038/cdd. 2009. 153 (2009).
15. Cordes, K. R. et al. miR-145 and miR-143 regulate smooth muscle cell fate and plasticity. Nature 460, 705-710, doi: 10. 1038/nature08195 (2009).
16. Cheng, Y. et al. MicroRNA-145, a novel smooth muscle cell phenotypic marker and modulator, controls vascular neointimal lesion formation. Circ Res 105, 158-166, doi: 10. 1161/circresaha. 109. 197517 (2009).
17. Lovren, F. et al. MicroRNA-145 targeted therapy reduces atherosclerosis. Circulation 126, S81-90, doi: 10. 1161/circulationaha. 111. 084186 (2012).
18. Wei, Y., Nazari-Jahantigh, M., Neth, P., Weber, C. & Schober, A. MicroRNA-126,-145, and-155: a therapeutic triad in atherosclerosis Arterioscler Thromb Vasc Biol 33, 449-454, doi: 10. 1161/atvbaha. 112. 300279 (2013).
19. Sala, F. et al. MiR-143/145 deficiency attenuates the progression of atherosclerosis in Ldlr /mice. Thrombosis and haemostasis 112, 796-802, doi: 10. 1160/th13-11-0905 (2014).
20. Gao, H. et al. Plasma Levels of microRNA-145 Are Associated with Severity of Coronary Artery Disease. PloS one 10, e0123477, doi: 10. 1371/journal. pone. 0123477 (2015).
21. Nazari-Jahantigh, M., Egea, V., Schober, A. & Weber, C. MicroRNA-specific regulatory mechanisms in atherosclerosis. Journal of molecular and cellular cardiology 89, 35-41, doi: 10. 1016/j. yjmcc. 2014. 10. 021 (2015).
22. Wei, Y. et al. Regulation of Csf1r and Bcl6 in macrophages mediates the stage-specific effects of microRNA-155 on atherosclerosis. Arterioscler Thromb Vasc Biol 35, 796-803, doi: 10. 1161/atvbaha. 114. 304723 (2015).
23. Pankratz, F. et al. MicroRNA-155 Exerts Cell-Specific Antiangiogenic but Proarteriogenic Effects During Adaptive Neovascularization. Circulation 131, 1575-1589, doi: 10. 1161/circulationaha. 114. 014579 (2015).
24. Kin, K. et al. Tissue-and plasma-specific MicroRNA signatures for atherosclerotic abdominal aortic aneurysm. Journal of the American Heart Association 1, e000745, doi: 10. 1161/jaha. 112. 000745 (2012).
25. Leistner, D. M. et al. Transcoronary gradients of vascular miRNAs and coronary atherosclerotic plaque characteristics. Eur Heart J 37, 1738-1749, doi: 10. 1093/eurheartj/ehw047 (2016).
26. Hergenreider, E. et al. Atheroprotective communication between endothelial cells and smooth muscle cells through miRNAs. Nature cell biology 14, 249-256, doi: 10. 1038/ncb2441 (2012).
27. Zernecke, A. et al. Delivery of microRNA-126 by apoptotic bodies induces CXCL12-dependent vascular protection. Science signaling 2, ra81, doi: 10. 1126/scisignal. 2000610 (2009).
28. Tolonen, A. M. et al. Inhibition of Let-7 microRNA attenuates myocardial remodeling and improves cardiac function postinfarction in mice. Pharmacology research & perspectives 2, e00056, doi: 10. 1002/prp2. 56 (2014).
29. Qin, B. et al. MicroRNA let-7c inhibits Bcl-xl expression and regulates ox-LDL-induced endothelial apoptosis. BMB reports 45, 464-469, doi: 10. 5483/BMBRep. 2012. 45. 8. 033 (2012).
30. Banerjee, S. et al. MicroRNA let-7c regulates macrophage polarization. Journal of immunology (Baltimore, Md. : 1950) 190, 6542-6549, doi: 10. 4049/jimmunol. 1202496 (2013).
31. Bouisset, F. et al. Prognostic usefulness of clinical and subclinical peripheral arterial disease in men with stable coronary heart disease. Am J Cardiol 110, 197-202, doi: S0002-9149(12)00937-X [pii] 10. 1016/j. amjcard. 2012. 03. 013 [doi] (2012).
32. Elbaz, M. et al. High-density lipoprotein subclass profile and mortality in patients with coronary artery disease: Results from the GENES study. Arch Cardiovasc Dis, doi: 10. 1016/j. acvd. 2016. 04. 007 (2016).
33. Hascoet, S. et al. Adiponectin and long-term mortality in coronary artery disease participants and controls. Arterioscler Thromb Vasc Biol 33, e19-29, doi: ATVBAHA. 112. 300079 [pii] 10. 1161/ATVBAHA. 112. 300079 [doi] (2013).
34. Buscail, L. et al. First-in-man phase 1 clinical trial of gene therapy for advanced pancreatic cancer: safety, biodistribution, and preliminary clinical findings. Molecular therapy: the journal of the American Society of Gene Therapy 23, 779-789, doi: 10. 1038/mt. 2015. 1 (2015).
35. Hellemans, J., Mortier, G., De Paepe, A., Speleman, F. & Vandesompele, J. qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data. Genome biology 8, R19, doi: 10. 1186/gb-2007-8-2-r19 (2007).