1. Libby, P., Ridker, P. M., Hansson, G. K. Progress and challenges in translating the biology of atherosclerosis. Nature 2011; 473: 317–325. DOI: 10.1038/nature10146.
Google Scholar | Crossref | Medline | ISI2. Liu, S., Li, Y., Zeng, X., et al. Burden of cardiovascular diseases in China, 1990-2016: findings from the 2016 global burden of disease study. JAMA Cardiol 2019; 4: 342–352. DOI: 10.1001/jamacardio.2019.0295.
Google Scholar | Crossref | Medline3. Pott, J., Beutner, F., Horn, K., et al. Genome-wide analysis of carotid plaque burden suggests a role of IL5 in men. PLoS One 2020; 15: e0233728. DOI: 10.1371/journal.pone.0233728.
Google Scholar | Crossref | Medline4. Zhang, S, Song, G, Yuan, J, et al. Circular RNA circ_0003204 inhibits proliferation, migration and tube formation of endothelial cell in atherosclerosis via miR-370-3p/TGFβR2/phosph-SMAD3 axis. J Biomed Sci 2020; 27: 11. DOI: 10.1186/s12929-019-0595-9.
Google Scholar | Crossref | Medline5. Vishnoi, A., Rani, S. MiRNA biogenesis and regulation of diseases: an overview. Methods Mol Biol 2017; 1509: 1–10. DOI: 10.1007/978-1-4939-6524-3_1.
Google Scholar | Crossref | Medline6. Lu, Y., Thavarajah, T., Gu, W., et al. Impact of miRNA in Atherosclerosis. Arterioscler Thromb Vasc Biol 2018; 38: e159–e170. DOI: 10.1161/atvbaha.118.310227.
Google Scholar | Crossref | Medline7. Bruen, R, Fitzsimons, S, Belton, O. miR-155 in the resolution of atherosclerosis. Front Pharmacol 2019; 10: 463. DOI: 10.3389/fphar.2019.00463.
Google Scholar | Crossref | Medline8. Wang, Z., Zhang, J., Zhang, S., et al. MiR‐30e and miR‐92a are related to atherosclerosis by targeting ABCA1. Mol Med Rep 2019; 19: 3298–3304. DOI: 10.3892/mmr.2019.9983.
Google Scholar | Crossref | Medline9. Backes, C., Meese, E., Keller, A. Specific miRNA disease biomarkers in blood, serum and plasma: challenges and prospects. Mol Diagn Ther 2016; 20: 509–518. DOI: 10.1007/s40291-016-0221-4.
Google Scholar | Crossref | Medline10. Navickas, R., Gal, D., Laucevičius, A., et al. Identifying circulating microRNAs as biomarkers of cardiovascular disease: a systematic review. Cardiovasc Res 2016; 111: 322–337. DOI: 10.1093/cvr/cvw174.
Google Scholar | Crossref | Medline | ISI11. Feng, L, Yang, X, Liang, S, et al. Silica nanoparticles trigger the vascular endothelial dysfunction and prethrombotic state via miR-451 directly regulating the IL6R signaling pathway. Part Fibre Toxicol 2019; 16: 16. DOI: 10.1186/s12989-019-0300-x.
Google Scholar | Crossref | Medline12. Song, X.-w., Zou, L.-l., Cui, L., et al. Plasma miR-451 with echocardiography serves as a diagnostic reference for pulmonary hypertension. Acta Pharmacol Sinica 2018; 39: 1208–1216. DOI: 10.1038/aps.2018.39.
Google Scholar | Crossref | Medline13. Berkan, Ö., Arslan, S., Lalem, T., et al. Regulation of microRNAs in coronary atherosclerotic plaque. Epigenomics 2019; 11: 1387–1397. DOI: 10.2217/epi-2019-0036.
Google Scholar | Crossref | Medline14. Zhang, Y., Wang, H., Xia, Y. The expression of miR-211-5p in atherosclerosis and its influence on diagnosis and prognosis. BMC Cardiovas Disord 2021; 21: 371–2021. DOI: 10.1186/s12872-021-02187-z.
Google Scholar | Crossref | Medline15. Hicks, K. A., Tcheng, J. E., Bozkurt, B., et al. ACC/AHA key data elements and definitions for cardiovascular endpoint events in clinical trials: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Data Standards (Writing Committee to Develop Cardiovascular Endpoints Data Standards). Circulation 2015; 132: 302–361. DOI: 10.1161/cir.0000000000000156.
Google Scholar | Crossref | Medline16. Livak, K. J., Schmittgen, T. D. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods 2001; 25: 402–408. DOI: 10.1006/meth.2001.1262.
Google Scholar | Crossref | Medline | ISI17. Soeki, T., Sata, M. Inflammatory Biomarkers and Atherosclerosis. Int Heart J 2016; 57: 134–139. DOI: 10.1536/ihj.15-346.
Google Scholar | Crossref | Medline18. Chambless, L. E., Heiss, G., Folsom, A. R., et al. Association of coronary heart disease incidence with carotid arterial wall thickness and major risk factors: the Atherosclerosis Risk in Communities (ARIC) Study, 1987-1993. Am J Epidemiol 1997; 146: 483–494. DOI: 10.1093/oxfordjournals.aje.a009302.
Google Scholar | Crossref | Medline | ISI19. Obuchowski, NA, Bullen, JA. Receiver operating characteristic (ROC) curves: review of methods with applications in diagnostic medicine. Phys Med Biol 2018; 63: 07TR01. DOI: 10.1088/1361-6560/aab4b1.
Google Scholar | Crossref | Medline20. Xu, S., Pelisek, J., Jin, Z. G. Atherosclerosis is an epigenetic disease. Trends Endocrinol Metab 2018; 29: 739–742. DOI: 10.1016/j.tem.2018.04.007.
Google Scholar | Crossref | Medline21. Libby, P, Buring, JE, Badimon, L, et al. Atherosclerosis. Nature Rev Dis Primers 2019; 5: 56. DOI: 10.1038/s41572-019-0106-z.
Google Scholar | Crossref | Medline22. Cires-Drouet, R. S., Mozafarian, M., Ali, A., et al. Imaging of high-risk carotid plaques: ultrasound. Semin Vasc Surg 2017; 30: 44–53. DOI: 10.1053/j.semvascsurg.2017.04.010.
Google Scholar | Crossref | Medline23. Takx, R. A. P., Partovi, S., Ghoshhajra, B. B. Imaging of atherosclerosis. Int J Cardiovasc Imag 2016; 32: 5–12. DOI: 10.1007/s10554-015-0730-y.
Google Scholar | Crossref | Medline24. Wang, C., Niimi, M., Watanabe, T., et al. Treatment of atherosclerosis by traditional Chinese medicine: questions and quandaries. Atherosclerosis 2018; 277: 136–144. DOI: 10.1016/j.atherosclerosis.2018.08.039.
Google Scholar | Crossref | Medline25. Gerhard-Herman, MD, Gornik, HL, Barrett, C, et al. AHA/ACC guideline on the management of patients with lower extremity peripheral artery disease: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2017; 69: e71–e126. DOI: 10.1016/j.jacc.2016.11.007.
Google Scholar | Crossref | Medline | ISI26. Li, K, Chen, ZT, Qin, YW. [Expression profiles of microRNA related to atherosclerosis in patients with OSA]. Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2019; 33: 304–309. DOI: 10.13201/j.issn.1001-1781.2019.04.005.
Google Scholar | Crossref | Medline27. Kim, S. H., Kim, G. J., Umemura, T., et al. Aberrant expression of plasma microRNA-33a in an atherosclerosis-risk group. Mol Biol Rep 2017; 44: 79–88. DOI: 10.1007/s11033-016-4082-z.
Google Scholar | Crossref | Medline28. Gao, J., Yang, S., Wang, K., et al. Plasma miR-126 and miR-143 as Potential Novel Biomarkers for Cerebral Atherosclerosis. J Stroke Cerebrovasc Dis 2019; 28: 38–43. DOI: 10.1016/j.jstrokecerebrovasdis.2018.09.008.
Google Scholar | Crossref | Medline29. Huang, Y.-q., Li, J., Chen, J.-y., et al. The association of circulating MiR-29b and Interleukin-6 with subclinical atherosclerosis. Cell Physiol Biochem 2017; 44: 1537–1544. DOI: 10.1159/000485649.
Google Scholar | Crossref | Medline30. Li, S., Lee, C., Song, J., et al. Circulating microRNAs as potential biomarkers for coronary plaque rupture. Oncotarget 2017; 8: 48145–48156. DOI: 10.18632/oncotarget.18308.
Google Scholar | Crossref | Medline31. Churov, A., Summerhill, V., Grechko, A., et al. MicroRNAs as Potential Biomarkers in Atherosclerosis. Int J Mol Sci 2019; 20: 5547. DOI: 10.3390/ijms20225547.
Google Scholar | Crossref32. Liu, K, Xuekelati, S, Zhang, Y, et al. Expression levels of atherosclerosis-associated miR-143 and miR-145 in the plasma of patients with hyperhomocysteinaemia. BMC Cardiovasc Disord 2017; 17: 163. DOI: 10.1186/s12872-017-0596-0.
Google Scholar | Crossref | Medline33. Chen, X., Wang, Y.-W., Zhu, W.-J., et al. A 4-microRNA signature predicts lymph node metastasis and prognosis in breast cancer. Hum Pathol 2018; 76: 122–132. DOI: 10.1016/j.humpath.2018.03.010.
Google Scholar | Crossref | Medline34. Dostalova Merkerova, M, Hrustincova, A., Krejcik, Z., et al. Microarray profiling defines circulating microRNAs associated with myelodysplastic syndromes. Neoplasma 2017; 64: 571–578. DOI: 10.4149/neo_2017_411.
Google Scholar | Crossref | Medline