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Multifactorial Analysis of a Group of Prediabetes Patients in Terms of Cardiovascular Risk

, 2006. Accessed at: http://www.idf.org/sites/default/files/attachments/article_495_en.pdf 7. Ryden L, Standl E, Bartnik M et al. Guidelines on diabetes, pre-diabetes, and cardiovascular diseases: executive summary. The Task Force on Diabetes and Cardiovascular Diseases of the European Society of Cardiology (ESC) and of the European Association for the Study of Diabetes (EASD). Eur Heart J 28: 88-136, 2007. 8. World Health Organisation “Definition, diagnosis and classification of diabetes mellitus and its complications: Report of a

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Oncostatin M, Interleukin-6, Glucometabolic Parameters and Lipid Profile in Hypertensive Patients with Prediabetes and Type 2 Diabetes Mellitus

. Diabetic dyslipidemia. In: Type 2 Diabetes, Pre-Diabetes, and the Metabolic Syndrome . Skolnik NS (ed). Humana Press, USA, pp 213 – 238, 2011. 5. Rega G, Kaun C, Weiss TW et al. Inflammatory cytokines interleukin-6 and oncostatin m induce plasminogen activator inhibitor-1 in human adipose tissue. Circulation 111: 1938-1945, 2005. 6. Miyaoka Y. Tanaka M, Naiki T, Miyajima A. Oncostatin M inhibits adipogenesis through the RAS/ERK and STAT5 signaling pathways. J Biol Chem 281: 37913–37920, 2006. 7. Al-Khalili L, Bouzakri K, Glund S, Lönnqvist F

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The Diagnosis of Prediabetes in Adolescents/Dijagnoza Predijabetesa Kod Adolescenata

References 1. Bacha F, Gungor N, Lee S, Arslanian SA. In vivo insulin sensitivity and secretion in obese youth: what are the differences between normal glucose tolerance, impaired glucose tolerance, and type 2 diabetes? Diabetes Care 2009; 32(1): 100-5. 2. Bloomgarden ZT. American College Of Endocrinology Pre-Diabetes Consensus Conference: part one. Diabetes Care 2008; 31(10): 2062-9. 3. Sinha R, Fisch G, Teague B, Tamborlane WV, Banyas B, Allen K, et al. Prevalence of impaired glucose tolerance among children

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Data Regarding the Prevalence and Incidence of Diabetes Mellitus and Prediabetes

-epidemiological study in Sweden. Diabet Med 32: 1319–1328, 2015. 18. Heidemann C, Du Y, Paprott R, Haftenberger M, Rathmann W, Scheidt-Nave C. Temporal changes in the prevalence of diagnosed diabetes, undiagnosed diabetes and prediabetes: findings from the German Health Interview and Examination Surveys in 1997-1999 and 2008-2011. Diabet Med 2015. doi: 10.1111/dme.13008. [Epub ahead of print] 19. Huber CA, Schwenkglenks M, Rapold R, Reich O. Epidemiology and costs of diabetes mellitus in Switzerland: an analysis of health care claims data, 2006 and 2011. BMC Endocr

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Risk factors for prediabetes in overweight and obese pre-teens and adolescents

Abstract

We looked for easy-to-use and predictable tools for identifying early risk of prediabetes (PD) and preventing the natural course to diabetes in overweight and obese pre-teens and adolescents. In 89 children (9-18 years) family history, body mass index (BMI), waist circumference (WC), acanthosis nigricans, blood pressure (BP), lipids, HbA1c, fasting glucose and oral glucose tolerance test were determined. We found 69 (77.5%) obese (BMI≥95th percentile) and 20 (22.5%) overweight children (BMI 85th-95th percentiles); thirty-six (41.4%) had PD; two had type 2 diabetes mellitus; two had metabolic syndrome. PD was associated with obesity (RR 5.1), HbA1c>5.5% (RR 2.5), acanthosis nigricans (RR=1.9), male gender (RR = 1.9), total cholesterol ≥170 mg/dL (RR=1.8), high BP (RR=1.7), urban area (RR = 1.6). BMI, WC, HbA1c and acanthosis nigricans are the major predictors for PD in this population. All blood values are both easy to measure and to accept by children, using finger prick method.

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Undiagnosed Hyperglycaemia and Hypertension as Indicators of the Various Risk Factors of Future Cardiovascular Disease Among Population of Serbian Students

for the prevention or delay of type 2 diabetes mellitus in prediabetes: a systematic review of randomised controlled trials. Australian and New Zealand Journal of Public Health 2010; 34(2): 172-8. 7. World Health Organization. The WHO STEPwise approach to Surveillance of noncommunicable diseases (STEPS). Ge neva: World Health Organization, 2003. 8. World Health Organization. The WHO STEPwise approach to chronic disease risk factor surveillance. Geneva: World Health Organization, 2005. 9. Ministarstvo zdravlja Republike

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TLR4 polymorphisms seem not to be associated with prediabetes and type 2 diabetes but predispose to diabetic retinopathy; TLR4 polymorphisms in glucose continuum

Abstract

Objectives. Compared to type 1 diabetes, the role of the immune and autoimmune pathogenetic mechanisms is much less studied in the type 2 diabetes. Toll-like receptors 4 (TLR4) have a leading role in inflammation, insulin resistance, and vascular damage. This study aimed to analyze the relationship between the polymorphisms in TLR4 gene and different stages in the glucose continuum from prediabetes to the type 2 diabetes and chronic microvascular complications.

Materials and Methods. The study included 113 patients with the type 2 diabetes, 29 participants with prediabetes, and 28 controls. Polymerase chain reaction (PCR) was used for genotyping Asp299Gly and Thr399Ile polymorphism, followed by restriction analysis.

Results. The difference in the genotype frequency for both polymorphisms in patients with the type 2 diabetes or prediabetes compared to that in controls was not significant. Patients with heterozygous genotype of Asp299Gly polymorphism had a higher prevalence of diabetic retinopathy (42.9%) than participants with homozygous genotype (9.0%) (OR [95%CI]=7.61 [1.41–41.08]; p=0.018). No association was established for diabetic polyneuropathy and nephropathy. Prevalence of chronic diabetes complications was not related to Thr399Ile polymorphism.

Conclusion. Our study demonstrates that Asp299Gly and Thr399Ile polymorphisms seem not to be associated with the type 2 diabetes and prediabetes but Asp299Gly may contribute to diabetic retinopathy predisposition.

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Potential of Selected Trace Elements in Patients with Diabetes Mellitus
Review

in Diabetes Mellitus: a Meta-Analysis and Systematic Review of Plasma and Serum Studies. Biol Trace Elem Res 2017; 177: 53-63. 20. Skalnaya MG, Skalny AV, Tinkov AA. Serum copper, zinc, and iron levels, and markers of carbohydrate metabolism in postmenopausal women with prediabetes and type 2 diabetes mellitus. J Tra ce Elem Med Biol 2017; 43: 46-51. 21. Jamilian M, Samimi M, Ebrahimi FA, Aghadavod E, Mohammadbeigi R, Rahimi M, Asemi Z. Effects of Selenium Supplementation on Gene Expression Levels of Inflammatory Cytokines and Vascular Endothelial

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The Effect of a Long-Term, Community-Based Exercise Program on Bone Mineral Density in Postmenopausal Women with Pre-Diabetes and Type 2 Diabetes

Abstract

The aim of this study was to evaluate the impact of a community-based exercise program on bone mineral density and body composition in postmenopausal women with pre-diabetes and type 2 diabetes. Twenty postmenopausal women (aged 61.3 ± 6.0 years) with pre-diabetes and type 2 diabetes were randomly assigned to a community-based exercise program group (n=10) or a control group (n=10). The community-based exercise program was multicomponent, three days per week for 32 weeks, and included walking, resistance and aquatic exercises. Body composition and bone mineral density were measured pre and post-training by dual X-ray absorptiometry. In the exercise group significant increases were found in the ward’s triangle bone mineral density (+7.8%, p=0.043), and in fat-free mass (+2.4%, p=0.018). The findings suggest that regular multicomponent training is effective in preventing osteoporosis and sarcopenia among postmenopausal women with pre-diabetes and type 2 diabetes.

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Are There Any Substantial Differences in the Anthropometric and Metabolic Profile Between Patients with Impaired Fasting Glycemia and Impaired Glucose Tolerance ?

) subclasses are increased with decreased activity of HDL-associated phospholipase A2 in subjects with prediabetes. Lipids 48: 547-555, 2013. 13. Lin KC, Tsai ST, Lin HY, Chou P. Different progressions of hyperglycemia and diabetes among hyperuricemic men and women in the kinmen study. J Rheumatol 31: 1159-1165, 2004. 14. Ishizaka N, Ishizaka Y, Toda E, Nagai R, Yamakado M. Association between serum uric acid, metabolic syndrome, and carotid atherosclerosis in Japanese individuals. Arterioscler Thromb Vasc Biol 25: 1038-1044, 2005

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