1) Abstract The study was to define plasma insulin level with the association of renin‑angiotensin‑aldosterone system activity in patients with type 2 diabetes. One hundred fi fty type 2 diabetic patients and 24 non‑diabetic subjects were studied. There was no statistical diff erence between the two groups in age gender the prevalence of hypertension and serum potassium concentration. Plasma aldosterone concentration (PAC) was signifi cantly higher in type 2 diabetics than that in non‑diabetic subjects (10.4±4.9 vs. 7.4±3.7 ng/dl;p=0.004) ; however plasma renin activity (PRA) did not diff er signifi cantly between the two groups. In diabetic patients PAC correlated signifi cantly with body mass index (BMI) fasting plasma insulin (F‑IRI) homeostasis model assessment insulin resistance (HOMA‑R) urinary C‑peptide excretion (U‑CPR) triglyceride (TG) and high‑density lipoprotein cholesterol (HDL‑C) . PRA correlated signifi cantly with F‑IRI and HOMA‑R but did not correlate with BMI U‑CPR TG and HDL‑C. The additional contribution of U‑CPR in predicting PAC was signifi cant after adjustment for age BMI F‑IRI TG HDL‑C and PRA (β=0.204 p=0.016) . These fi ndings indicate that hyperinsulinemia may aff ect the increase in PAC unrelated with obesity dyslipidemia insulin resistance that are components of metabolic syndrome in patients with type 2 diabetes.
The authors performed neuropsychological testing in 21 patients with myotonic dystrophy type 1 (DM1) and 21 with type 2 (DM2) and healthy controls. They detected no general cognitive deficit in either DM1 or DM2, but compared to controls, both groups of patients were inferior in tests of prefrontal functioning. Patient groups did not differ in any measure. Mood status was not related to neuropsychological performance. This is consistent with findings of executive dysfunction in both DM1 and DM2.
To examine the three-dimensional morphology and vascular endothelial growth factor (VEGF) expression of skin microvasculature in patients with type 2 diabetes in relation to neuropathy, retinopathy and nephropathy.The present study enrolled 17 individuals with type 2 diabetes and 16 without. Skin sections were double-immunostained for type IV collagen and VEGF-A or protein gene product 9.5. Projected images from confocal microscopy served to quantify the occupancy rate of subepidermal type IV collagen-immunoreactive microvascular basement membrane area (OR-T4MBM), subepidermal VEGF-A-immunoreactive area and the VEGF/T4MBM ratio, as well as the protein gene product 9.5-immunoreactive intraepidermal nerve fiber density. Reduced intraepidermal nerve fiber density was applied for the diagnosis of neuropathy, fundic ophthalmoscopy and fluorescein angiography for retinopathy, and microalbuminuria or persistent proteinuria for nephropathy.A total of 12 patients with diabetes had neuropathy, 10 had retinopathy and eight had nephropathy. Regardless of the presence or absence of neuropathy, retinopathy or nephropathy, OR-T4MBM was significantly increased in patients with diabetes compared with individuals without diabetes. In contrast, VEGF/T4MBM ratio was significantly decreased in those with neuropathy and retinopathy, as well as in those with and without nephropathy, whereas a trend toward a decreased VEGF/T4MBM ratio was seen in patients without retinopathy, as compared with individuals without diabetes.The present study is the first report to show that cutaneous microangiopathy, as indicated by subepidermal microvascular proliferation and impaired VEGF expression, appears to occur before the development of overt clinical neuropathy, retinopathy or nephropathy in patients with type 2 diabetes.
Objective Glycemic control varies based on lifestyle factors and stress coping mechanisms, which are influenced by personality. The psychological factors associated with glycemic control have not yet been established in patients with type 2 diabetes mellitus (T2DM). The relationship between a 5-factor model of personality and glycemic control was evaluated in individuals with T2DM. Methods The subjects were 503 Japanese outpatients with T2DM. Glycated hemoglobin A1c (HbA1c) levels, depressive status, insomnia and personality traits were assessed. Lifestyle factors of the patients, such as habitual alcohol consumption and smoking, were also included in the analyses. Results Because the influence of insulin therapy on HbA1c is so strong, we stratified the patients according to insulin use. Simple regression analysis showed a significant correlation between HbA1c and neuroticism in patients who did not use insulin. After adjustment for confounders, multiple regression analyses revealed that none of the personality factors, including neuroticism, were found to be associated with HbA1c. Conclusion These findings suggest that personality traits do not have a large impact on glycemic control. Further studies are required to confirm the relationships between psychological factors and glycemic control using a longitudinal study design. Keywords: HbA1c, Glycemic control, Insulin, Japanese, Personality
Recent attempts to classify adult-onset diabetes using only six diabetes-related variables (GAD antibody, age at diagnosis, BMI, HbA1c, and homeostatic model assessment 2 estimates of b-cell function and insulin resistance (HOMA2-B and HOMA2-IR)) showed that diabetes can be classified into five clusters, of which four correspond to type 2 diabetes (T2DM). Here, we classified nondiabetic individuals to identify risk clusters for incident T2DM to facilitate the refinement of prevention strategies. Of the 1167 participants in the population-based Iwaki Health Promotion Project in 2014 (baseline), 868 nondiabetic individuals who attended at least once during 2015-2019 were included in a prospective study. A hierarchical cluster analysis was performed using four variables (BMI, HbA1c, and HOMA2 indices). Of the four clusters identified, cluster 1 (n = 103), labeled as "obese insulin resistant with sufficient compensatory insulin secretion", and cluster 2 (n = 136), labeled as "low insulin secretion", were found to be at risk of diabetes during the 5-year follow-up period: the multiple factor-adjusted HRs for clusters 1 and 2 were 14.7 and 53.1, respectively. Further, individuals in clusters 1and 2 could be accurately identified: the area under the ROC curves for clusters 1and 2 were 0.997 and 0.983, respectively. The risk of diabetes could be better assessed on the basis of the cluster that an individual belongs to.
To examine if there is a correlation between high blood glucose and serum ceruloplasmin (Cp) levels.Serum Cp levels were measured in 637 patients with type 2 diabetes (all type 2 diabetes group). For the follow-up type 2 diabetes group, 161 patients who had not had any changes in their situation during the last year that are known to influence serum Cp levels were reexamined 1 year later. The control group was composed of 158 healthy individuals. Serum Cp and blood HbA1c levels were measured by radial immunodiffusion and high-performance liquid chromatography assays, respectively.Serum Cp levels in the all type 2 diabetes group were significantly higher than those in the control group (P < 0.0001), although the serum Cp levels did not correlate with the blood HbA1c levels in the all type 2 diabetes group (r = 0.055, P = 0.351). Then we evaluated those factors (delta-log Cp and delta-HbA1c) in the follow-up type 2 diabetes group to minimize changes from the genetic differences and to exclude any known factors influencing serum Cp levels. This indicated that the delta-HbA1c had a positive correlation to the delta-log Cp (r = 0.304, P < 0.0001).A persistent high blood glucose (namely HbA1c) is associated with an increase in serum Cp levels over 1 year.
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