scholarly journals Insulin Resistance, the Metabolic Syndrome, and Complication Risk in Type 1 Diabetes: "Double diabetes" in the Diabetes Control and Complications Trial

Diabetes Care ◽  
2007 ◽  
Vol 30 (3) ◽  
pp. 707-712 ◽  
Author(s):  
E. S. Kilpatrick ◽  
A. S. Rigby ◽  
S. L. Atkin
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Type 1 Diabetes ◽  
Diabetes Control ◽  
The Metabolic Syndrome ◽  
Complication Risk ◽  
Double Diabetes

1631-P: Age at Menarche and Its Association with the Metabolic Syndrome in Type 1 Diabetes

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1631-P
Author(s):  
JINGHUI JU ◽  
DEBRA RUBINSTEIN ◽  
SAMAR R. EL KHOUDARY ◽  
TREVOR J. ORCHARD ◽  
TINA COSTACOU
Keyword(s):  
Metabolic Syndrome ◽  
Type 1 Diabetes ◽  
Age At Menarche ◽  
The Metabolic Syndrome

Hexose-6-phosphate dehydrogenase in the endoplasmic reticulum

2010 ◽  
Vol 391 (1) ◽  
Author(s):  
Silvia Senesi ◽  
Miklos Csala ◽  
Paola Marcolongo ◽  
Rosella Fulceri ◽  
Jozsef Mandl ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Endoplasmic Reticulum ◽  
Pentose Phosphate Pathway ◽  
Hydroxysteroid Dehydrogenase ◽  
Pyridine Nucleotide ◽  
Pentose Phosphate ◽  
The Metabolic Syndrome ◽  
Glucose 6 Phosphate Dehydrogenase

Abstract Hexose-6-phosphate dehydrogenase (H6PD) is a luminal enzyme of the endoplasmic reticulum that is distinguished from cytosolic glucose-6-phosphate dehydrogenase by several features. H6PD converts glucose-6-phosphate and NADP+ to 6-phosphogluconate and NADPH, thereby catalyzing the first two reactions of the pentose-phosphate pathway. Because the endoplasmic reticulum has a separate pyridine nucleotide pool, H6PD provides NADPH for luminal reductases. One of these enzymes, 11β-hydroxysteroid dehydrogenase type 1 responsible for prereceptorial activation of glucocorticoids, has been the focus of much attention as a probable factor in the pathomechanism of several human diseases including insulin resistance and the metabolic syndrome. This review summarizes recent advances related to the functions of H6PD.

scholarly journals The association between macronutrient intake and the metabolic syndrome and its components in type 1 diabetes

2017 ◽  
Vol 117 (3) ◽  
pp. 450-456 ◽  
Author(s):  
Aila J. Ahola ◽  
Valma Harjutsalo ◽  
Lena M. Thorn ◽  
Riitta Freese ◽  
Carol Forsblom ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Type 1 Diabetes ◽  
Cholesterol Concentration ◽  
Relative Distribution ◽  
Macronutrient Intake ◽  
Lower Odds ◽  
The Metabolic Syndrome ◽  
Nutrient Density

AbstractDiet is a major modifiable lifestyle factor that may affect the components of the metabolic syndrome. We aimed to investigate the association between relative proportions of macronutrients and the components of the metabolic syndrome in a population of individuals with type 1 diabetes. In all, 791 individuals without nephropathy, with plausible energy intake and known metabolic syndrome status, taking part in the Finnish Diabetic Nephropathy Study were included in the analyses. Dietary data were collected with a diet record. The association between the relative macronutrient intake and the outcome variables were analysed using multivariable nutrient density substitution models. The relative proportions of dietary macronutrients or fatty acids were not associated with the presence of the metabolic syndrome. In men, however, favouring carbohydrates over fats was associated with lower odds of the waist component, whereas favouring either carbohydrates or fats over proteins was associated with lower odds of the blood pressure component of the metabolic syndrome. In women, substituting carbohydrates for fats was associated with lower HDL-cholesterol concentration. Substituting carbohydrates or fats for alcohol or protein was, in men, associated with lower systolic blood pressure. To conclude, the relative distribution of macronutrients may have some relevance for the metabolic syndrome.

scholarly journals Insulin resistance in type 1 diabetes: what is ‘double diabetes’ and what are the risks?

Diabetologia ◽  
2013 ◽  
Vol 56 (7) ◽  
pp. 1462-1470 ◽  
Author(s):  
S. J. Cleland ◽  
B. M. Fisher ◽  
H. M. Colhoun ◽  
N. Sattar ◽  
J. R. Petrie
Keyword(s):  
Insulin Resistance ◽  
Type 1 Diabetes ◽  
Double Diabetes

Depression is associated with the metabolic syndrome among patients with type 1 diabetes

2010 ◽  
Vol 42 (7) ◽  
pp. 495-501 ◽  
Author(s):  
Aila J. Ahola ◽  
Lena M. Thorn ◽  
Markku Saraheimo ◽  
Carol Forsblom ◽  
Per-Henrik Groop ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Type 1 Diabetes ◽  
The Metabolic Syndrome

scholarly journals Body composition, metabolic syndrome and insulin resistance in type 1 diabetes mellitus

2011 ◽  
Vol 55 (3) ◽  
pp. 189-193 ◽  
Author(s):  
Denise Prado Momesso ◽  
Isabela Bussade ◽  
Giovanna A. Balarini Lima ◽  
Leniane Pereira Coelho Fonseca ◽  
Luis Augusto Tavares Russo ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Type 1 Diabetes ◽  
Body Composition ◽  
Body Fat ◽  
World Health ◽  
Composition Analysis ◽  
Fat Composition ◽  
Central Fat

OBJECTIVE: Our aim was to determine the relationship between body fat composition, metabolic syndrome (MS), and insulin resistance in type 1 diabetes (DM1). SUBJECTS AND METHODS: Forty-five DM1 women (36 ± 9 years; body mass index 24.6 ± 4.4 kg/m²) had body composition and insulin resistance determined by dual-energy X-ray absorptiometry and estimated glucose disposal ratio (eGDR), respectively. Twenty patients (45%) had MS according to World Health Organization (WHO) criteria. RESULTS: Women with DM1 and MS had increased central fat and lower eGDR than women without MS (41.9 ± 2.0 vs. 33.7 ± 1.8%; p = 0.004 and 4.99 ± 0.40 vs. 8.37 ± 0.39; p < 0.0001, respectively). Total body fat and peripheric fat were similar between the groups. Central fat negatively correlated with eGDR (r = -0.33; p = 0.03). CONCLUSION: Central fat deposition in young non-obese DM1 women was related to MS and insulin resistance. Thus, body fat composition analysis might be important to identify DM1 patients with increased metabolic risk.

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