Glycemic Variability Is Associated with Markers of Vascular Stress in Adolescents.
暂无分享,去创建一个
[1] H. Nathoe,et al. The Relation Between HbA1c and Cardiovascular Events in Patients With Type 2 Diabetes With and Without Vascular Disease , 2015, Diabetes Care.
[2] C. Aston,et al. Oxidized HDL and LDL in adolescents with type 2 diabetes compared to normal weight and obese peers. , 2015, Journal of diabetes and its complications.
[3] K. Nadeau,et al. Continuous glucose monitoring and its relationship to hemoglobin A1c and oral glucose tolerance testing in obese and prediabetic youth. , 2015, The Journal of clinical endocrinology and metabolism.
[4] J. Trepanowski,et al. Fetuin-A: a novel link between obesity and related complications , 2014, International Journal of Obesity.
[5] Amal Zaghloul,et al. Soluble endothelial protein C receptor and high sensitivity C reactive protein levels as markers of endothelial dysfunction in patients with type 1 and type 2 diabetes mellitus: their role in the prediction of vascular complications. , 2014, Diabetes research and clinical practice.
[6] Y. Saisho. Glycemic Variability and Oxidative Stress: A Link between Diabetes and Cardiovascular Disease? , 2014, International journal of molecular sciences.
[7] K. Prasad. Low Levels of Serum Soluble Receptors for Advanced Glycation End Products, Biomarkers for Disease State: Myth or Reality , 2014, International Journal of Angiology.
[8] Y. Hung,et al. Soluble Form of Receptor for Advanced Glycation End Products Is Associated with Obesity and Metabolic Syndrome in Adolescents , 2014, International journal of endocrinology.
[9] K. Dowling,et al. Vascular function and glucose variability improve transiently following initiation of continuous subcutaneous insulin infusion in children with type 1 diabetes , 2013, Pediatric diabetes.
[10] J. Levy,et al. Expansion of the Homeostasis Model Assessment of β-Cell Function and Insulin Resistance to Enable Clinical Trial Outcome Modeling Through the Interactive Adjustment of Physiology and Treatment Effects: iHOMA2 , 2013, Diabetes Care.
[11] C. Cobelli,et al. Postprandial improvement in insulin sensitivity after a single exercise session in adolescents with low aerobic fitness and physical activity , 2013, Pediatric diabetes.
[12] D. Nathan,et al. A clinical trial to maintain glycemic control in youth with type 2 diabetes. , 2012, The New England journal of medicine.
[13] H. Tian,et al. Glucose fluctuations in subjects with normal glucose tolerance, impaired glucose regulation and newly diagnosed type 2 diabetes mellitus , 2012, Clinical endocrinology.
[14] M. Tremblay,et al. Daily step target to measure adherence to physical activity guidelines in children. , 2012, Medicine and science in sports and exercise.
[15] D. Oberlin,et al. Glycaemic control is improved by 7 days of aerobic exercise training in patients with type 2 diabetes , 2012, Diabetologia.
[16] F. Booth,et al. Lowering physical activity impairs glycemic control in healthy volunteers. , 2012, Medicine and science in sports and exercise.
[17] Gregory J. Welk,et al. Aerobic fitness percentiles for U.S. adolescents. , 2011, American journal of preventive medicine.
[18] J. Steinberger,et al. Circulating Oxidized LDL and Inflammation in Extreme Pediatric Obesity , 2011, Obesity.
[19] Eckhard Salzsieder,et al. The use of a computer program to calculate the mean amplitude of glycemic excursions. , 2011, Diabetes technology & therapeutics.
[20] Peter A Baghurst,et al. Calculating the mean amplitude of glycemic excursion from continuous glucose monitoring data: an automated algorithm. , 2011, Diabetes technology & therapeutics.
[21] SoJung Lee,et al. From Pre-Diabetes to Type 2 Diabetes in Obese Youth , 2010, Diabetes Care.
[22] Howard Zisser,et al. Improved quality of glycemic control and reduced glycemic variability with use of continuous glucose monitoring. , 2009, Diabetes technology & therapeutics.
[23] David Rodbard,et al. Interpretation of continuous glucose monitoring data: glycemic variability and quality of glycemic control. , 2009, Diabetes technology & therapeutics.
[24] Ju-ming Lu,et al. [Characteristics of glycemic excursion in different subtypes of impaired glucose intolerance]. , 2009, Zhonghua yi xue za zhi.
[25] Claudio Cobelli,et al. Effects of Type 2 Diabetes on Insulin Secretion, Insulin Action, Glucose Effectiveness, and Postprandial Glucose Metabolism , 2009, Diabetes Care.
[26] A. McCall,et al. The Median is Not the Only Message: A Clinician's Perspective on Mathematical Analysis of Glycemic Variability and Modeling in Diabetes Mellitus , 2009, Journal of diabetes science and technology.
[27] David R. Owens,et al. Glycemic Variability: The Third Component of the Dysglycemia in Diabetes. Is it Important? How to Measure it? , 2008, Journal of diabetes science and technology.
[28] SoJung Lee,et al. In Vivo Insulin Sensitivity and Secretion in Obese Youth , 2008, Diabetes Care.
[29] R. Testa,et al. Oscillating Glucose Is More Deleterious to Endothelial Function and Oxidative Stress Than Mean Glucose in Normal and Type 2 Diabetic Patients , 2008, Diabetes.
[30] A. Ceriello,et al. Constant and intermittent high glucose enhances endothelial cell apoptosis through mitochondrial superoxide overproduction , 2006, Diabetes/metabolism research and reviews.
[31] Jean-Paul Cristol,et al. Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes. , 2006, JAMA.
[32] A. Ceriello,et al. Intermittent high glucose enhances ICAM-1, VCAM-1 and E-selectin expression in human umbilical vein endothelial cells in culture: the distinct role of protein kinase C and mitochondrial superoxide production. , 2005, Atherosclerosis.
[33] Sonia Caprio,et al. The metabolic consequences of childhood obesity. , 2005, Best practice & research. Clinical endocrinology & metabolism.
[34] Kenton R Kaufman,et al. Precision and accuracy of an ankle-worn accelerometer-based pedometer in step counting and energy expenditure. , 2005, Preventive medicine.
[35] D. Stern,et al. Understanding RAGE, the receptor for advanced glycation end products , 2005, Journal of Molecular Medicine.
[36] D. Klonoff. Continuous glucose monitoring: roadmap for 21st century diabetes therapy. , 2005, Diabetes care.
[37] G. Damante,et al. Intermittent high glucose enhances apoptosis in human umbilical vein endothelial cells in culture. , 2001, American journal of physiology. Endocrinology and metabolism.
[38] R. Holman,et al. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study , 2000, BMJ : British Medical Journal.
[39] M. Matsuda,et al. Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. , 1999, Diabetes care.
[40] R. Holman,et al. Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34) , 1998, The Lancet.
[41] Ferrannini,et al. Relationship between impaired glucose tolerance, non‐insulin‐dependent diabetes mellitus and obesity , 1998, European journal of clinical investigation.
[42] S. Dinneen,et al. The Postprandial State: Mechanisms of Glucose Intolerance , 1997, Diabetic medicine : a journal of the British Diabetic Association.
[43] The Relationship of Glycemic Exposure (HbA1c) to the Risk of Development and Progression of Retinopathy in the Diabetes Control and Complications Trial , 1995, Diabetes.
[44] W. F. Taylor,et al. Mean Amplitude of Glycemic Excursions, a Measure of Diabetic Instability , 1970, Diabetes.
[45] S. Mumford,et al. Failure to consider the menstrual cycle phase may cause misinterpretation of clinical and research findings of cardiometabolic biomarkers in premenopausal women. , 2014, Epidemiologic reviews.
[46] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[47] W. N. Venables,et al. An introduction to R : a programming environment for data analysis and graphics , 2009 .
[48] W. N. Venables,et al. An introduction to R : notes on R: a programming environment for data analysis and graphics, version 1.9.1 , 2002 .