1. Nathan DM, McGee P, Steffes MW, Lachin JM. Relationship of glycated albumin to blood glucose and HbA1c values and to retinopathy, nephropathy and cardiovascular outcomes in the DCCT/EDIC study. Diabetes 2014; 63: 282–290.
2. Brownlee M. The pathobiology of diabetic complications – a unifying mechanism. Diabetes 2005; 54: 1615–1625.
3. El-Osta A, Brasacchio D, Yao DC et al. Transient high glucose causes persistent epigenetic changes and altered gene expression during subsequent normoglycemia. J Exp Med 2008; 205: 2409–2417.
4. Wang L, Wang J, Fang J et al. High glucose induces and activates Toll-like receptor 4 in endothelial cells of diabetic retinopathy. Diabetol Metab Syndr 2015; 7: 89.
5. De NigrisV, Pujadas G, La Sala L et al. Short-term high glucose exposure impairs insulin signaling in endothelial cells. Cardiovasc Diabetol 2015; 14: 114.
6. Monnier L, Mas E, Ginet C et al. Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes. JAMA 2006; 295: 1681–1687.
7. Zhang XG, Zhang YQ, Zhao DK et al. Relationship between blood glucose fluctuation and macrovascular endothelial dysfunction in type 2 diabetic patients with coronary heart disease. Eur Rev Med Pharmacol Sci 2014; 18: 3593–3600.
8. Ceriello A, Esposito K, Piconi L et al. Oscillating glucose is more deleterious to endothelial function and oxidative stress than mean glucose in normal and type 2 diabetic patients. Diabetes 2008; 57: 1349–1354.
9. Schisano B, Tripathi G, McGee K et al. Glucose oscillations, more than constant high glucose, induce p53 activation and a metabolic memory in human endothelial cells. Diabetologia 2011; 54: 1219–1226.
10. Pena AS, Couper JJ, Harrington J et al. Hypoglycemia, but not glucose variability, relates to vascular function in children with type 1 diabetes. Diabetes Technol Ther 2012; 14: 457–462.
11. Ceriello A, Novials A, Ortega E et al. Hyperglycemia following recovery from hypoglycemia worsens endothelial damage and thrombosis activation in type 1 diabetes and in healthy controls. Nutr Metab Cardiovasc Dis 2014; 24: 116–123.
12. Kumar B, Kowluru A, Kowluru RA. Lipotoxicity augments glucotoxicity-induced mitochondrial damage in the development of diabetic retinopathy. Invest Ophthalmol Vis Sci 2015; 56: 2985–2992.
13. Ceriello A, Kilpatrick ES. Glycemic variability: both sides of the story. Diabetes Care 2013; 36(Suppl. 2): S272–S275.
14. Yang HK, Kang B, Lee SH et al. Association between hemoglobin A1c variability and subclinical coronary atherosclerosis in subjects with type 2 diabetes. J Diabetes Complicat 2015; 29: 776–782.
15. Chang CH, Chuang LM. Glycated hemoglobin variability and retinopathy progression in type 1 diabetes: is month-to-month instability a better predictor? J Diabetes Investig 2014; 5: 149–151.
16. Cheng DS, Fei Y, Liu Y et al. HbA1c variability and the risk of renal status progression in diabetes mellitus: a meta-analysis. PLoS One 2014; 9: e115509.
17. Kohnert KD, Heinke P, Vogt L, Salzsieder E. Utility of different glycemic control metrics for optimizing management of diabetes. World J Diabetes 2015; 6: 17–29.
18. Service FJ. Glucose variability. Diabetes 2013; 62: 1398–1404.
19. Saisho Y, Tanaka C, Tanaka K et al. Relationships among different glycemic variability indices obtained by continuous glucose monitoring. Primary Care Diabetes 2015; 9: 290–296.
20. Jaiswal M, McKeon K, Comment N et al. Association between impaired cardiovascular autonomic function and hypoglycemia in patients with type 1 diabetes. Diabetes Care 2014; 37: 2616–2621.
21. Hirsch IB. Glycemic variability and diabetes complications: does it matter? Of course it does! Diabetes Care 2015; 38: 1610–1614.
22. Rodbard D. Evaluating quality of glycemic control: graphical displays of hypo- and hyper-glycemia, time in target range, and mean glucose. J Diabetes Sci Technol 2015; 9: 56–62.
23. Niskanen L, Virkamäki A, Hansen JB, Saukkonen T. Fasting plasma glucose variability as a marker of nocturnal hypoglycemia in diabetes: evidence from the PREDICTIVE study. Diabetes Res Clin Pract 2009; 86: e15–e18.
24. Cryer PE. Hypoglycemia: still the limiting factor in the glycemic management of diabetes. Endocr Pract 2008; 14: 750–756.
25. Smith-Palmer J, Brändle M, Trevisan R et al. Assessment of the association between glycemic variability and diabetes-related complications in type 1 and type 2 diabetes. Diabetes Res Clin Pract 2014; 105: 273–284.
26. Gorst C, Kwak CS, Aslam S et al. Long-term glycemic variability and risk of adverse outcomes: a systematic review and meta-analysis. Diabetes Care 2015; 38: 2354–2369.
27. Hirakawa Y, Arima H, Zoungas S et al. Impact of visit-to-visit glycemic variability on the risks of macrovascular and microvascular events and all-cause mortality in type 2 diabetes: the ADVANCE trial. Diabetes Care 2014; 37: 2359–2365.
28. Kilpatrick ES, Rigby AS, Atkin SL. A1C variability and the risk of microvascular complications in type 1 diabetes: data from the Diabetes Control and Complications Trial. Diabetes Care 2008; 31: 2198–2202.
29. Hermann JM, Hammes HP, Rami-Mehar B et al. HbA1c variability as an independent risk factor for diabetic retinopathy in type 1 diabetes: a German/Austrian multicenter analysis on 35,891 patients. PLoS One 2014; 9: e91137.
30. Hietala K, Waden J, Forsblom C et al. HbA1c variability is associated with an increased risk of retinopathy requiring laser treatment in type 1 diabetes. Diabetologia 2013; 56: 737–745.
31. Nazim J, Fendler W, Starzyk J. Metabolic control and its variability are major risk factors for microalbuminuria in children with type 1 diabetes. Endokrynol Pol 2014; 65: 83–89.
32. Hsu CC, Chang HY, Huang MC et al. HbA1c variability is associated with microalbuminuria development in type 2 diabetes: a 7-year prospective cohort study. Diabetologia 2012; 55: 3163–3172.
33. Penno G, Solini A, Bonora E et al. HbA1c variability as an independent correlate of nephropathy, but not retinopathy, in patients with type 2 diabetes. The Renal Insufficiency And Cardiovascular Events (RIACE) Italian multicenter study. Diabetes Care 2013; 36: 2301–2310.
34. Jun JE, Jin SM, Baek J et al. The association between glycemic variability and diabetic cardiovascular autonomic neuropathy in patients with type 2 diabetes. Cardiovasc Diabetol 2015; 14: 70–78.
35. Šoupal J, Škrha Jr J, Fajmon M et al. Glycemic variability is higher in type 1 diabetes patients with microvascular complications irrespective of glycemic control. Diabetes Technol Ther 2014; 16: 198–203.
36. Lachin JM, Genuth S, Nathan DM et al. Effect of glycemic exposure on the risk of microvascular complications in the diabetes control and complications trial revisited. Diabetes 2008; 57: 995–1001.
37. Kilpatrick ES, Rigby AS, Atkin SL. The effect of glucose variability on the risk of microvascular complications in type 1 diabetes. Diabetes Care 2006; 29: 1486–1490.
38. Gimeno-Orna JA, Castro-Alonso FJ, Boned-Juliani B, Lou-Arnal LM. Fasting plasma glucose variability as a risk factor of retinopathy in type 2 diabetic patients. J Diabetes Complicat 2003; 17: 78–81.
39. Zoppini G, Verlato G, Targher G et al. Is fasting glucose variability a risk factor for retinopathy in people with type 2 diabetes? Nutr Metab Cardiovasc Dis 2009; 19: 334–339.
40. Takao T, Ide T, Yanagisawa H et al. The effect of fasting plasma glucose variability on the risk of retinopathy in type 2 diabetic patients: retrospective long-term follow-up. Diabetes Res Clin Pract 2010; 89: 296–302.
41. Takao T, Ide T, Yanagisawa H et al. The effects of fasting plasma glucose variability and time dependent glycemic control on the long-term risk of retinopathy in type 2 diabetic patients. Diabetes Res Clin Pract 2011; 91: e40–e42.
42. Hsu CR, Chen YT, Sheu WHH. Glycemic variability and diabetes retinopathy: a missing link. J Diabetes Complicat 2015; 29: 302–306.
43. Jin SM, Kim TH, Baek SOJ et al. Association between the extent of urinary albumin excretion and glycaemic variability indices measured by continuous glucose monitoring. Diabet Med 2015; 32: 274–279.
44. Hou X, Wang C, Wang S et al. Fluctuation between fasting and 2-H postload glucose state is associated with glomerular hyperfiltration in newly diagnosed diabetes patients with HbA1c < 7%. PLoS One 2014; 9: e111173.
45. Bragd J, Adamson U, Bäcklund LB et al. Can glycaemic variability, as calculated from blood glucose selfmonitoring, predict the development of complications in type 1 diabetes over a decade? Diabetes Metab 2008; 34: 612–616.
46. Sharma D, Morrison G, Joseph F et al. The role of continuous subcutaneous insulin infusion therapy in patients with diabetic gastroparesis. Diabetologia 2011; 54: 2768–2770.
47. Samsom M, Akkermans LM, Jebbink RJ et al. Gastrointestinal motor mechanisms in hyperglycaemia induced delayed gastric emptying in type I diabetes mellitus. Gut 1997; 40: 641–646.
48. Bellastella G, Maiorino MI, Olita L et al. Premature ejaculation is associated with glycemic control in type 1 diabetes. J Sex Med 2015; 12(1): 93–99.
49. Martín-Cora FJ, Fornal CA, Metzler CW, Jacobs BL. Insulin induced hypoglycemia decreases single-unit activity of serotonergic medullary raphe neurons in freely moving cats: relationship to sympathetic and motor output. Eur J Neurosci 2002; 16: 722–734.
50. Iwasaki S, Kozawa J, Fukui K et al. Coefficient of variation of R-R interval closely correlates with glycemic variability assessed by continuous glucose monitoring in insulin-depleted patients with type 1 diabetes. Diab Res Clin Pract 2015; 109: 397–403.
51. Xu F, Zhao L, Su J et al. The relationship between glycemic variability and diabetic peripheral neuropathy in type 2 diabetes with well-controlled HbA1c. Diabet Metab Syndr 2014; 6: 139–145.
52. Probstfield JL, Hirsch I, O'Brien K et al.; The FLAT-SUGAR Trial investigators. Design of FLAT-SUGAR: randomized trial of prandial insulin versus prandial GLP-1 receptor agonist together with basal insulin and metformin for high-risk type 2 diabetes. Diabetes Care 2015; 38: 1558–1566.
53. Kuricová K, Pácal L, Šoupal J et al. Effect of glucose variability on pathways associated with glucotoxicity in diabetes: evaluation of a novel in vitro experimental approach. Diabetes Res Clin Pract 2016; 114: 1–8.