scholarly journals Association of urinary RBP4 with insulin resistance, inflammation, and microalbuminuria

2014 ◽  
Vol 171 (4) ◽  
pp. 443-449 ◽  
Author(s):  
Se Eun Park ◽  
Nam Seok Lee ◽  
Ji Woo Park ◽  
Eun-Jung Rhee ◽  
Won-Young Lee ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Arterial Stiffness ◽  
Glucose Tolerance ◽  
Cardiometabolic Risk ◽  
Urinary Albumin ◽  
Metabolic Parameters ◽  
The Relationship

ObjectiveSerum concentrations of retinol-binding protein 4 (RBP4) are elevated in type 2 diabetes and associated with the severity of insulin resistance; however, there are few data about the relationship between urinary RBP4 levels and metabolic parameters. We assessed urinary RBP4 as a new biomarker by establishing its relationship with clinical parameters associated with insulin resistance and urinary albumin excretion.Design and methodsWe measured RBP4 in the serum and urine of 689 subjects with diverse glucose tolerance status. We also evaluated the relationship between urinary RBP4 and cardiometabolic risk factors, including insulin resistance, high-sensitivity C-reactive protein (hsCRP), arterial stiffness, and microalbuminuria.ResultsUrinary RBP4 levels were higher in insulin-resistant subjects with prediabetes or type 2 diabetes than in subjects with normal glucose tolerance (NGT) (type 2 diabetes>prediabetes>NGT; allP<0.001). Urinary RBP4 correlated strongly with homeostasis model assessments of insulin resistance (HOMA-IR), fasting glucose, triglycerides, blood pressure, hsCRP, arterial stiffness, estimated glomerular filtration rate, and urinary albumin-to-creatinine ratio (allP<0.01). HOMA-IR and arterial stiffness were found to be independent determinants of urinary RBP4 concentration. Furthermore, urinary RBP4 was highly predictive of microalbuminuria (odds ratio 2.6, 95% CI 1.6–4.2), even after adjustment for other metabolic parameters. The area under the ROC curve for urinary RBP4 to detect the presence of microalbuminuria was 0.80±0.02 (95% CI 0.76–0.84) and the cut-off value was 157.01 μg/gCr.ConclusionsUrinary RBP4 concentrations were elevated in patients with dysregulation of glucose metabolism and were related to various cardiometabolic risk factors including insulin resistance, inflammation, and microalbuminuria.

Physical Activity is Strongly Inversely Related To Post-Challenge Plasma Glucose and Glycemic Spikes in a Risk Population for Type 2 Diabetes

Folia Medica ◽  
2013 ◽  
Vol 55 (2) ◽  
pp. 33-42 ◽  
Author(s):  
Theodora Temelkova-Kurktschiev ◽  
Tsvetan Stefanov ◽  
Carsta Koehler ◽  
Elena Henkel ◽  
Frank Schaper ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
At Risk ◽  
Glucose Tolerance ◽  
Plasma Glucose ◽  
Cardiometabolic Risk ◽  
Post Challenge ◽  
The Relationship

ABSTRACT AIM: To examine the relationship between physical activity (PA) and various cardiometabolic risk factors during an oral glucose tolerance test (OGTT), including glycemic spikes (PGS) in individuals at risk for type 2 diabetes. SUBJECTS AND METHODS: A total of 949 middle-aged subjects from the Risk factors in Impaired Glucose Tolerance for Atherosclerosis and Diabetes (RIAD) trial aged 40-70 years were included in the present cross-sectional analysis. Standard 75 g OGTT was performed and blood was collected every 30 min for 2 hours for measurements of plasma glucose (PG) and other cardiometabolic risk factors. PA was assessed using interviewer-administered questionnaire. RESULTS: Post-challenge PGS and maximal PG (PGmax) during OGTT were significantly lower in individuals with high PA vs. individuals with low PA even after body mass index (BMI) adjustment (p = 0.026 and p = 0.035, respectively). In univariate analysis post-challenge PG 30, 60, 90, and 120 minutes, PGS and PGmax during OGTT were significantly inversely correlated to PA. This correlation was attenuated but remained significant after adjustment for BMI. Fasting PG and glycosylated hemoglobin were not correlated to PA. Significantly higher fasting and post-challenge insulin levels were found among subjects with low vs. subjects with medium (p < 0.05) and high PA (p < 0.05). Post-challenge C-peptide and proinsulin levels were significantly lower in participants with high vs. participants with low PA (p < 0.05 for all). The relationship between 2-h PG and PA was observed also in lean subjects and in subjects with normal fasting glucose. In multivariate analysis PA was a significant independent determinant of 2-h PG. CONCLUSION: We found a strong inverse relationship between PA and various post-challenge cardiometabolic parameters during OGTT, including glycemic spikes, in a population at risk for diabetes. This relationship was only partially dependent on BMI.

scholarly journals Functional high-intensity exercise training ameliorates insulin resistance and cardiometabolic risk factors in type 2 diabetes

2018 ◽  
Vol 103 (7) ◽  
pp. 985-994 ◽  
Author(s):  
Ciarán E. Fealy ◽  
Stephan Nieuwoudt ◽  
Julie A. Foucher ◽  
Amanda R. Scelsi ◽  
Steven K. Malin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Exercise Training ◽  
High Intensity ◽  
Cardiometabolic Risk ◽  
High Intensity Exercise ◽  
Cardiometabolic Risk Factors

scholarly journals The Effects of Aerobic-Resistance Training and Broccoli Supplementation on Plasma Dectin-1 and Insulin Resistance in Males with Type 2 Diabetes

Nutrients ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 3144
Author(s):  
Ayoub Saeidi ◽  
Mohammad Soltani ◽  
Ali Daraei ◽  
Hanieh Nohbaradar ◽  
Marjan Mosalman Haghighi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Resistance Training ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
And Control

Background: This study aimed to evaluate the effects of a combination of aerobic-resistance training (CARET) and broccoli supplementation on dectin-1 levels and insulin resistance in men with type 2 diabetes mellitus (T2D). Methods: Forty-four males with T2D were randomly allocated to four groups (n = 11 each group): CARET + broccoli supplement (TS), CARET + placebo (TP), control + broccoli supplement (S), and control + placebo (CP). CARET was performed three days per week for 12 weeks. TS and S groups received 10 g of broccoli supplement per day for 12 weeks. All variables were assessed at baseline and 12 weeks. Results: Plasma dectin-1 levels were decreased in TS and TP groups compared with the CP group (p < 0.05). Cardiometabolic risk factors showed significant reductions in TP and TS groups compared to S and CP groups (p < 0.05). Conclusion: The combination of CARET and broccoli supplementation produced the largest improvements in insulin resistance and dectin-1 and other complications of T2D.

Oral glucose tolerance response curve predicts disposition index but not other cardiometabolic risk factors in healthy adolescents

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Robert P. Hoffman ◽  
Melanie M. Copenhaver ◽  
Danlei Zhou ◽  
Chack-Yung Yu
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Insulin Secretion ◽  
Glucose Tolerance ◽  
Response Curve ◽  
Cardiometabolic Risk ◽  
Disposition Index ◽  
Oral Glucose ◽  
Oral Glucose Tolerance

Abstract Objectives In obese adults the shape of the glucose response curve during an oral glucose tolerance test (OGTT) predicts future type 2 diabetes. Patients with an incessant increase or monophasic curves have increased risk compared to those with biphasic curves. Since type 2 diabetes is associated with increased cardiometabolic risk, we studied whether differences in OGTT response curve are associated with differences in cardiometabolic risk factors in healthy adolescents across a wide body mass index (BMI) range. Methods Sixty-nine (33F/36M), white adolescents (age: 15.2 ± 1.7 years; BMI: 21.5 ± 4.7 kg/m2; mean ± SD) were studied. Risk factors measured included percent body fat, blood pressure, lipids, augmentation index, reactive hyperemia, endothelin 1, plasminogen activator 1, inflammatory markers (interleukin 6, c-reactive protein), insulin secretion, insulin sensitivity (Matusda index), and disposition index (DI). Results Thirty-two subjects had biphasic responses; 35 subjects had monophasic responses and two females had incessant increases. Sex did not affect the frequency of responses. Glucose area under the curve during OGTT was greater in those with a mono vs. biphasic curves (p=0.01). Disposition index was markedly lower in subjects with a monophasic curve than in those with a biphasic curve (3.6 [2.3–5.0] vs. 5.8 [3.8–7.6], median [25th, 75th%] p=0.003). Triglyceride to high-density lipoprotein cholesterol (HDL) ratio was higher in subjects with a monophasic curve (p=0.046). Conclusions The decreased disposition index indicates that in healthy adolescents a monophasic response to OGTT is due to decreased insulin secretion relative to the degree of insulin resistance present. This was not associated with differences in most other cardiometabolic risk markers. Trial registration Clinical Trials.gov, NCT02821104.

Abstract P130: Risk Factors for Progression to Type 2 Diabetes Mellitus From Prediabetes

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Margareta Hellgren ◽  
Ulf Lindblad ◽  
Bledar Daka
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Family History ◽  
Glucose Tolerance

Background and Aims: Individuals with prediabetes, impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT), have approximately 50% risk to develop type 2 diabetes mellitus (T2DM) within ten years. This paper examines risk factors for development of T2DM in individuals with prediabetes. Materials and Methods: A total of 2816 individuals were randomly selected and completed a careful physical examination and an oral glucose tolerance test. IFG and IGT was defined according to WHO. A representative sample of 1327 individuals were re-examined in a follow-up study after ten years. This study focuses on the participants who were diagnosed with prediabetes, IFG (n=67) and/or IGT (n=89) at baseline and who were re-examined at follow-up. Insulin resistance was estimated by HOMA-ir (Homeostatic Model Assessment for Insulin Resistance). Differences between the participants with prediabetes who developed T2DM and those who did not, were analyzed with general linear models and adjusted for age, sex and BMI. The risk to progress to T2DM in ten years was explored using binary logistic regression, adding the risk-factors one after another. Results: Of the 156 individuals with prediabetes 28% progressed to T2DM. Individuals who developed T2DM had higher BMI (α=3.2kg/m 2 , P<0.001), higher HbA1c (α=0.2 mmol/mol, P=0.047), higher C-reactive protein (α=3.3 mmol/L, P=0.040) and also significantly higher HOMAir (α=2.8, P<0.001) at base-line. The risk to develop T2DM increased in a step-wise manner in individuals with prediabetes when successively adding the risk-factors. Having a BMI ≥30kg/m 2 , a known family history for T2DM, HbA1c ≥37mmol/mol, HOMAir ≥2.8 and a low level of physical activity increased the risk to develop T2DM 5.6 times. Table 1. Conclusion: In individuals with prediabetes, those with additional risk-factors like obesity, HbA1c and HOMAir above mean values, family history for T2DM and a low level of physical activity require extra attention and intensive lifestyle interventions should be initiated.

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