Bluestone JA, Herold K, Eisenbarth G. Genetics, pathogenesis and clinical interventions in type 1 diabetes. Nature. 2010;464:1293–300.
Article
CAS
PubMed
PubMed Central
Google Scholar
Kahn SE, Cooper ME, Del Prato S. Pathophysiology and treatment of type 2 diabetes: perspectives on the past, present, and future. Lancet. 2014;383:1068–83.
Article
CAS
PubMed
Google Scholar
Whiting DR, Guariguata L, Weil C, Shaw J. IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract. 2011;94:311–21.
Article
PubMed
Google Scholar
Boyle JP, Thompson TJ, Gregg EW, Barker LE, Williamson DF. Projection of the year 2050 burden of diabetes in the US adult population: dynamic modeling of incidence, mortality, and prediabetes prevalence. Popul Health Metr. 2010;8:29.
Article
PubMed
PubMed Central
Google Scholar
Klein R, Klein BEK, Moss SE, Davis MD, DeMets DL. The Wisconsin epidemiologic study of diabetic retinopathy. II. Prevalence and risk of diabetic retinopathy when age at diagnosis is less than 30 years. Arch Ophthalmol. 1984;102:520–6.
Article
CAS
PubMed
Google Scholar
Klein R, Klein BEK, Moss SE, Davis MD, DeMets DL. The Wisconsin epidemiologic study of diabetic retinopathy. II. Prevalence and risk of diabetic retinopathy when age at diagnosis is 30 or more years. Arch Ophthalmol. 1984;102:527–32.
Article
CAS
PubMed
Google Scholar
Frank NR. Diabetic retinopathy. N Engl J Med. 2004;350:48–58.
Article
CAS
PubMed
Google Scholar
Klein R, Klein BEK, Moss SE, Cruickshanks KJ. Association of ocular disease and mortality in a diabetic population. Arch Ophthalmol. 1999;117:1487–95.
Article
CAS
PubMed
Google Scholar
Klein R, Klein BEK, Moss SE. The epidemiology of proliferative diabetic retinopathy. Diabetes Care. 1992;15:1875–91.
Article
CAS
PubMed
Google Scholar
Tancredi M, Rosengren A, Svensson A-M, et al. Excess mortality among persons with type 2 diabetes. N Engl J Med. 2015;373:1720–32.
Article
CAS
Google Scholar
Blum A, Pastukh N, Socea D, Jabaly H. Levels of adhesion molecules in peripheral blood correlate with stages of diabetic retinopathy and may serve as bio markers for microvascular complications. Cytokine. 2017. https://doi.org/10.1016/j.cyto.2017.10.014 [Epub ahead of print].
Blum A, Socea D, Ben-Shushan RS, Keinan-Boker L, Naftali M, Segol G, Tamir S. A decrease in VEGF and inflammatory markers is associated with diabetic proliferative retinopathy. Eur Cytokine Netw. 2012;23(4):158–62.
CAS
PubMed
Google Scholar
Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004;116(2):281–97.
Article
CAS
Google Scholar
Fernandez-Valverde SL, Taft RJ, Mattick JS. MicroRNAs in β-cell biology, insulin resistance, diabetes and its complications. Diabetes. 2011;60(7):1825–31.
Article
CAS
PubMed
PubMed Central
Google Scholar
Guay C, Regazzi R. Circulating microRNAs as novel biomarkers for diabetes mellitus. Nat Rev Endocrinol. 2013;9(9):513–21.
Article
CAS
Google Scholar
Shantikumar S, Caporali A, Emanueli C. Role of microRNAs in diabetes and its cardiovascular complications. Cardiovasc Res. 2011;93(4):583–93.
Article
CAS
PubMed
PubMed Central
Google Scholar
Pandey AK, Agarwal P, Kaur K, Datta M. MicroRNAs in diabetes: tiny players in big disease. Cellular Physiol Biochem. 2009;23(4–6):221–32.
Article
CAS
Google Scholar
de Candia P, Spinetti G, Specchia C, et al. A unique plasma microRNA profile defines type 2 diabetes progression. PLoS ONE. 2017;12(12):e0188980. https://doi.org/10.1371/journal.pone.0188980.
Article
CAS
PubMed
PubMed Central
Google Scholar
Rawshani A, Rawshani A, Franzen S, et al. Mortality and cardiovasculuar disease in type 1 and type 2 diabetes. N Engl J Med. 2017;376(15):1407–18.
Article
Google Scholar
Blum A, Pastukh N, Socea D, Hanin J. Colony forming unites-endothelial progenitor cells (CFU-EPCs): a surrogate marker for diabetic retinopathy and high cardiovascular mortality rate. Int J Pharma Res Rev. 2016;5(5):57–62.
Google Scholar
Stegemann C, Pechlaner T, Willeit P, et al. Lipidpmics profiling and risk of cardiovascular disease in the prospective population-based bruneck study. Circulation. 2014;129:1821–31.
Article
CAS
PubMed
Google Scholar
Willeit P, Kiechl S, Kronenberg F, et al. Discrimination and net reclassification of cardiovascular risk with lipoprotein (a): prospective 15-year outcomes in the Bruneck Study. J Am Coll Cardiol. 2014;64:851–60.
Article
PubMed
Google Scholar
Zampetaki A, Willeit P, Tilling L, et al. Prospective study on circulating MicroRNAs and risk of myocardial infarction. J Am Coll Cardiol. 2012;60:290–9.
Article
CAS
Google Scholar
Kiechl S, Wittmann J, Giacceari A, et al. Blockade of receptor activator of nuclear factor-k B (RNAKL) signaling improves hepatic insulin resistance and prevents development of diabetes mellitus. Nat Med. 2013;19:358–63.
Article
CAS
PubMed
Google Scholar
Willeit P, Willeit J, Brandstatter A, et al. Cellular aging reflected by leukocyte telomere length predicts advanced atherosclerosis and cardiovascular disease risk. Arterioscler Thromb Vasc Biol. 2010;30:1649–56.
Article
CAS
Google Scholar
Sever PS, Dahlof B, Poulter NR, et al. Prevention of coronary and stroke events with atorvastatin in hypertensive patients who have average or lower than average cholesterol concentrations, in the Anglo-Scandinavian Cardiac Outcomes Trial-Lipid Lowering Arm (ACOT-LLA): a multicenter randomized controlled trial. Lancet. 2003;361:1149–58.
Article
CAS
PubMed
Google Scholar
Poulter NR, Wedel H, Dahlof B, et al. Role of blood pressure and other variables in the differential cardiovascular event rates noted in the Anglo-Scandinavian Cardiac Outcomes Trial-Blood Pressure Lowering Arm (ASCOT-BPLA). Lancet. 2005;366:907–13.
Article
CAS
PubMed
Google Scholar
Stanton A, Fitzgerald D, Hughes A, et al. An intensive phenotyping study to enable the future examination of genetic influences on hypertension-associated cardiovascular disease. J Hum Hypertens. 2001;15(Suppl 1):S13–8.
Article
PubMed
Google Scholar
Willwit P, Skroblin P, Moschen AR, et al. Circulating microRNA-122 is associated with the risk of new onset metabolic syndrome and type 2 diabetes. Diabetes. 2017;66(2):347–57.
Article
CAS
Google Scholar
Cortez-Dias N, Costa MC, Carrilho-Ferreira P, et al. Circulating miR-122-5p/miR-133b ratio is a specific early prognostic biomarker in acute myocardial infarction. Circ J. 2016;80:2183–91.
Article
CAS
PubMed
Google Scholar
Gao W, He HW, Wang ZM, et al. Plasma levels of lipometabolism-related miR-122 and miR-370 are increased in patients with hyperlipidemia and associated with coronary artery disease. Lipids Health Dis. 2012;11:55–63.
Article
CAS
PubMed
PubMed Central
Google Scholar
Blum A, Yehuda H, Geron N, Meerson A. Elevated levels of miR-122 in serum may contribute to improved endothelial function and lower oncologic risk following bariatric surgery. IMAJ. 2017;19(10):620–4.
PubMed
Google Scholar
Burchard J, Zhang C, Liu AM, et al. microRNA-122 as a regulator of mitochindrial metabolic gene network in hepatocellular carcinoma. Mol Syst Biol. 2010;6:402. https://doi.org/10.1038/msb.2010.58.
Article
CAS
PubMed
PubMed Central
Google Scholar
Zhang Z, Li H, Chen S, et al. Knockdown of MicroRNA-122 protects H9c2 cardiomyocytes from hypoxia induced apoptosis and promotes autophagy. Med Sci Monit. 2017;23:4284–90.
Article
PubMed
PubMed Central
Google Scholar
Dhahri W, Dussault S, Haddad P, et al. Reduced expression of let-7f activates TGF-β/ALK5 pathway and leads to impaired ischaemia-induced neovascularization after cigarette smoke exposure. J Cell Mol Med. 2017;21(9):2211–22.
Article
CAS
PubMed
PubMed Central
Google Scholar