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The aim of the present study was to assess the extent and severity of periodontal disease among type 1 diabetic patients (T1DM) and to investigate the possible association with systemic markers of glucose control and variability.Patients were consecutively enrolled in a Diabetic Unit. A full-mouth periodontal evaluation was performed, and data on systemic markers of diabetes were collected. Descriptive statistics and logistic and linear models were performed.A total of 136 T1DM patients (mean age: 45.5 ± 14.6 years) were examined. Periodontitis was detected in 62% of cases (mean CAL: 3.0 ± 0.9 mm): stage III periodontitis was diagnosed in 32% of patients while stage IV in 8%. Mean level of glycated hemoglobin (HbA1c) was 7.5% ± 1.4. Among the investigated factors, mean CAL (p=0.040) was associated with HbA1c ≥ 7%; 93% of patients with mean CAL6 mm showed HbA1c ≥ 7%. Mean CAL (p=0.004), mean PPD (p=0.005), mean FMPS (p=0.030), and stage III/IV periodontitis (p=0.018) predict glucose coefficient of variation (CV).Periodontitis showed a relevant prevalence in the present, well-controlled T1DM population and predicts poor glycemic control (HbA1c ≥7%) and higher glucose variability. The present findings suggest that periodontal infection may have systemic effects also in T1DM patients.The extent and severity of periodontitis and its possible systemic effects in T1DM patients could be underestimated.

AimsPeriodontal disease (PD) is a chronic inflammation of periodontal tissue associated with infection from specific anaerobic pathogens contained in dental plaque. Both type 1 and type 2 diabetes are associated with an increased prevalence of PDs. A two-way relationship between diabetes and periodontitis has been proposed, with diabetes increasing the risk for periodontitis, and periodontal inflammation negatively affecting glycaemic control. To date, the relationship between PD and glucose variability in type 1 diabetes has not been evaluated. To investigate the prevalence of PD in patients with type 1 diabetes and its association with glycemic control and glucose variability.MethodsIn this cross-sectional study, all enrolled patients were scheduled to attend both a diabetologic and a periodontal visit. HbA1c, glucose coefficient of variation (CV), loss of clinical attachment (CAL), and periodontal probing depth (PPD) were collected.Results136 patients were included in the analysis. The prevalence of PD was 63%. A significant correlation was found between mean CAL and glucose CV (r = 0.31,p = 0.002), but not with HbA1c. Mean PPD was also associated with glucose CV (r = 0.27 and 0.044), but not with HbA1c. In a multiple linear regression model, with mean CAL as dependent variable, age, glucose CV, and smoking habit resulted significantly associated (r = 0.23,p = 0.013;r = 0.33,p = 0.001;r = 0.34,p ConclusionsPD is associated with glucose variability in patients with type 1 diabetes also after adjusting for the main confounders.

Self-monitoring of blood glucose (SMBG) represented a major breakthrough in the treatment of type 1 diabetes. The aim of the present meta-analysis is to assess the effect of continues glucose monitoring (CGM) and flash glucose monitoring (FGM), on glycemic control in type 1 diabetes. The present analysis includes randomized clinical trials comparing CGM or FGM with SMBG, with a duration of at least 12 weeks, identified in Medline or clinicaltrials.gov. The principal endpoint was HbA1c at the end of the trial. A secondary endpoint was severe hypoglycemia. Mean and 95% confidence intervals for HbA1c and Mantel–Haenzel odds ratio [MH-OR] for severe hypoglycemia were calculated, using random effect models. A sensitivity analysis was performed using fixed effect models. In addition, the following secondary endpoints were explored, using the same methods: time in range, health-related quality of life, and treatment satisfaction. Separate analyses were performed for trials comparing CGM with SMBG, and those comparing CGM + CSII and SMBG + MDI and CGM-regulated insulin infusion system (CRIS) and CSII + SMBG. CGM was associated with a significantly lower HbA1c at endpoint in comparison with SMBG (− 0.24 [− 0.34, − 0.13]%); CGM was associated with a significantly lower risk of severe hypoglycemia than SMBG. Treatment satisfaction and quality of life were not measured, or not reported, in the majority of studies. FGM showed a significant reduction in the incidence of mild hypoglycemia and an increased treatment satisfaction, but no significant results are shown in HbA1c. CGM + CSII in comparison with SMBG + MDI was associated with a significant reduction in HbA1c. Only two trials with a duration of at least 12 weeks compared a CRIS with SMBG + CSII; HbA1c between the two treatment arms was not statistically significant (difference in means: − 0.23 [− 0.91; 0.46]%; p = 0.52). GCM compared to SMBG has showed a reduction in HbA1c and severe hypoglycemia in patient with type 1 diabetes. The comparison between CGM + CSII and SMBG + MDI showed a large reduction in HbA1c; it is conceivable that the effects of CSII + CGM on glycemic control additives. The only comparison available between FGM and SMBG was conducted in patients in good control.

During heart transplantation, storage in cold preservation solution is thought to protect the organ by slowing metabolism; by providing osmotic support; and by minimising ischaemia-reperfusion (IR) injury upon transplantation into the recipient1,2. Despite its widespread use our understanding of the metabolic changes prevented by cold storage and how warm ischaemia leads to damage is surprisingly poor. Here, we compare the metabolic changes during warm ischaemia (WI) and cold ischaemia (CI) in hearts from mouse, pig, and human. We identify common metabolic alterations during WI and those affected by CI, thereby elucidating mechanisms underlying the benefits of CI, and how WI causes damage. Succinate accumulation is a major feature within ischaemic hearts across species, and CI slows succinate generation, thereby reducing tissue damage upon reperfusion caused by the production of mitochondrial reactive oxygen species (ROS)3,4. Importantly, the inevitable periods of WI during organ procurement lead to the accumulation of damaging levels of succinate during transplantation, despite cooling organs as rapidly as possible. This damage is ameliorated by metabolic inhibitors that prevent succinate accumulation and oxidation. Our findings suggest how WI and CI contribute to transplant outcome and indicate new therapies for improving the quality of transplanted organs.

Background Invasive lobular carcinomas (ILCs) account for 10–15% of all breast cancers. They are characterized by an elevated endocrine responsiveness and by a long lasting risk of relapse over time. Here we report for the first time an analysis of clinical and pathological features associated with the risk of late distant recurrence in ILCs. Patients and methods We retrospectively analyzed all consecutive patients with hormone receptor–positive ILC operated at the European Institute of Oncology (EIO) between June 1994 and December 2010 and scheduled to receive at least 5 years of endocrine treatment. The aim was to identify clinical and pathological variables that provide prognostic information in the period beginning 5 years after definitive surgery. The cumulative incidence of distant metastases (CI-DM) from 5 years after surgery was the prospectively defined primary endpoint. Results One thousand eight hundred seventy-two patients fulfilled the inclusion criteria. The median follow-up was 8.7 years. Increased tumor size and positive nodal status were significantly associated with higher risk of late distant recurrence, but nodal status had a significant lower prognostic value in late follow-up period (DM-HR, 3.21; 95% CI, 2.06–5.01) as compared with the first 5 years of follow-up (DM-HR, 9.55; 95% CI, 5.64–16.2; heterogeneity p value 0.002). Elevated Ki-67 labeling index (LI) retained a significant and independent prognostic value even after the first 5 years from surgery (DM-HR, 1.81; 95% CI 1.19–2.75), and it also stratified the prognosis of ILC patients subgrouped according to lymph node status. A combined score, obtained integrating the previously validated Clinical Treatment Score post 5 years (CTS5) and Ki-67 LI, had a strong association with the risk of late distant recurrence of ILCs. Conclusion We identified factors associated with the risk of late distant recurrence in ER-positive ILCs and developed a simple prognostic score, based on data that are readily available, which warrants further validation.

Degludec is a long-acting insulin with a longer duration of action and a greater day-to-day reproducibility of absorption in comparison with previous long-acting insulin formulations. The aim is the definition of the change in insulin needs in patients switching from detemir/glargine to degludec in real-life conditions. In this retrospective cohort observational study, all outpatients with either type 1 or type 2 diabetes, starting therapy with degludec insulin—after a prior treatment with either detemir or glargine insulin for at least 6 months—were included. The analysis was performed on 266 patients, 172 and 96 with type 1 and type 2 diabetes, respectively. The equations describing the relationship between baseline and follow-up doses of basal insulin (6 months) were Y = 3.39 + 0.78X and Y = 0.44 + 0.69X, in patients receiving detemir/glargine either once or twice daily, respectively (Y = degludec dose at 6 months and X = basal insulin dose at switch). The corresponding equations for prandial insulin doses were y = 1.83 + 0.83*x and y = 2.85 + 0.80*x for those on pre-switch once or twice-daily basal insulin, respectively. In type 2 diabetes, the switch was associated with a reduction of basal insulin doses only in those with a prior twice-daily treatment with basal insulin. The reduction of prandial insulin reached statistical significance only in patients previously treated with basal insulin once daily. The present results provide a suggestion for a simple method for the adjustment of basal and prandial insulin doses in type 1 diabetic patients, switching from glargine or detemir to degludec.

Dipeptidyl peptidase 4 (DPP-4) is an enzyme that is produced by endothelial cells in different districts and circulates in plasma. Patients with type 2 diabetes show a reduction in active Glucagon-Like Peptide-1 (GLP-1) that could be due to impairment of secretion or its degradation or both. GLP-1 is rapidly inactivated in vivo, mainly by the DPP-4. Some authors suggest that Metformin has no direct inhibitory effect on DPP-4 activity and that Metformin and the other biguanides enhance GLP-1 secretion; others suggest a possible role of Metformin in the inhibition of the DPP-4 activity. In order to better elucidate the role of insulin sensitizers on the modulation of GLP-1 circulating levels, DPP-4 activity and mRNA expression were measured in cultured human aortic endothelial cells (HAEC) and human microvascular dermal endothelial cells (HMVEC) exposed to high glucose, Metformin and Rosiglitazone. Present data show that hyperglycemia is capable of increasing in a significant manner the DPP-4 activity only in microvascular endothelial cells. Rosiglitazone is able to modulate in a negative manner the expression of DPP-4 but not its activity in macrovascular endothelial cells, while at 24 h of exposure it is able to increase significantly DPP-4 activity but not its expression in microvascular endothelial cells. Metformin at 48 h only in microvascular endothelial cells is able to reduce in a significant manner (p = 0.01) the activity of DPP-4 but not its expression. The modulation of DPP-4 is site specific.

Diabetic cardiomyopathy has been defined as "a distinct entity characterized by the presence of abnormal myocardial performance or structure in the absence of epicardial coronary artery disease, hypertension, and significant valvular disease". The diagnosis stems from the detection of myocardial abnormalities and the exclusion of other contributory causes of cardiomyopathy. It rests on non-invasive imaging techniques which can demonstrate myocardial dysfunction across the spectra of clinical presentation. The presence of diabetes is associated with an increased risk of developing heart failure, and the 75% of patients with unexplained idiopathic dilated cardiomyopathy were found to be diabetic. Diabetic patients with microvascular complications show the strongest association between diabetes and cardiomyopathy, an association that parallels the duration and severity of hyperglycemia. Metabolic abnormalities (that is hyperglycemia, hyperinsulinemia, and hyperlipemia) can lead to the cellular alterations characterizing diabetic cardiomyopathy (that is myocardial fibrosis and/or myocardial hypertrophy) directly or indirectly (that is by means of renin-angiotensin system activation, cardiac autonomic neuropathy, alterations in calcium homeostasis). Moreover, metabolic abnormalities represent, on a clinical ground, the main therapeutic target in the patients with diabetes since the diagnosis of diabetes is made. Since diabetic cardiomyopathy is highly prevalent in the asymptomatic type 2 diabetic patients, screening for its presence at the earliest stage of development can lead to prevent the progression to chronic heart failure. The most sensitive test is standard echocardiogram, while a less expensive pre-screening method is the detection of microalbuminuria.

Chronic hyperglycaemia increases dipeptidyl peptidase IV (DPP-IV) activity in endothelial cells in vitro. The present study was designed to assess the effect of high glucose on circulating DPP-IV activity in patients with type 1 and type 2 diabetes.Plasma DPP-IV activity was measured in 29 patients with type 1 diabetes and 29 age-, sex- and BMI-matched control subjects. We also assessed DPP-IV activity in 31 type 2 diabetic patients with HbA1c8.5% and in plasma from matched groups of 31 newly diagnosed diabetic subjects with HbA1c7.5%, 31 subjects with IGT and 62 subjects with NGT. In a further sample of 66 type 2 diabetic patients, a longitudinal study was also performed to evaluate variations in DPP-IV activity and HbA1c over 3 months.DPP-IV activity in type 1 diabetic patients was not significantly different from that in control subjects; however, a significant correlation between DPP-IV and HbA1c was observed in diabetic subjects (r = 0.47; p0.01). Type 2 diabetic patients with HbA1c8.5% showed significantly (p0.05) higher DPP-IV activity (mean+/-SD 27.7+/-7.1 U/l) than newly diagnosed diabetic patients and subjects with IGT (22.1+/-6.0 and 18.8+/-8.8 U/l, respectively). Variations in DPP-IV activity over 3 months in type 2 diabetic patients showed a significant positive correlation with variations in HbA1c (r = 0.26; p0.05).Chronic hyperglycaemia induces a significant increase in DPP-IV activity in type 1 and type 2 diabetes. This phenomenon could contribute to the reduction in circulating active glucagon-like peptide-1 and to the consequent postprandial hyperglycaemia in type 2 diabetic patients with poor metabolic control.

The aim of this study was to assess the feasibility and efficacy of an Interactive Educational and Support Group programme (IESG) for patients with type 1 diabetes. A sample of 96 type 1 diabetic outpatients was studied measuring the effects of participation in IEGS on metabolic control and diabetes-related quality of life (QoL). Those refusing to participate (n = 48) and a sample of 37 patients who were not invited to IESG (control) where studied for comparison. After one year, participants showed a significant (p0.05) improvement of HbA(1c) from 7.7+/-1.6 to 7.2+/-1.5%, whereas no variation of HbA(1c) was observed in non-participants and controls. No significant variation of QoL was observed in any of the three groups. At two-years follow-up, HbA(1c) of the patients attending IESG was not significantly different from that at one-year follow-up, and it was significantly lower than that observed at enrolment. QoL showed a significant improvement at 2 years with respect to baseline and one-year follow-up. In conclusion, this programme appears to be effective in the improvement of medium term metabolic control and QoL.