Vitamin D deficiency is an independent risk factor for diabetic peripheral neuropathy, and further studies are required to confirm if Vitamin D supplementation could prevent or delay the onset.

Objective: We aimed to assess the efficacy of short-term oral vitamin D supplementation on peripheral neuropathy in patients with type 2 diabetes. Materials and Methods: This prospective, placebo-controlled trial included 112 type 2 diabetic patients with diabetic peripheral neuropathy (DPN) and vitamin D [25(OH)D] deficiency. Patients were sequentially assigned to a treatment group (n = 57) and a placebo group (n = 55). DPN was assessed using a neuropathy symptom score (NSS), a neuropathy disability score (NDS) and a nerve conduction study (NCS). Vitamin D status was determined by measuring the serum total 25(OH)D concentration. Patients received either oral vitamin D₃ capsules or starch capsules once weekly for 8 weeks. The primary outcome was changes in NSS and NDS from baseline. The secondary outcome was changes in the NCS result. Results: Serum 25(OH)D concentrations significantly improved after oral vitamin D supplementation in the treatment group when compared to the placebo group (32.8 ± 23.7 vs. 1.1 ± 3.6, p < 0.0001). Similarly, the improvement in NSS values was significantly greater in the treatment group than in the placebo group (-1.49 ± 1.37 vs. -0.20 ± 0.59, p < 0.001). No improvement was observed for NDS and NCS between the 2 groups after treatment. Conclusion: Short-term oral vitamin D₃ supplementation improved vitamin D status and the symptoms of neuropathy in patients with type 2 diabetes.

Smoking HB does not reduce the risk of tobacco exposure and it's potentially harmful metabolites on health.

Background: Obesity and the metabolic syndrome have emerged as clinical and public health crises in many populations, but not all obese patients have the syndrome. As adipocytes produce several adipokines that modulate insulin action as well as glucose and lipid metabolism, we postulate that estimation of adipokines may be useful addition to the criteria used to identify obese individuals with the metabolic syndrome. Objective: To evaluate the determinants and associations of plasma adiponectin in relation to the metabolic syndrome in patients with Type 2 diabetes. Design: Cross-sectional study. Setting: General Teaching Hospital. Patients: One hundred and thirty five (57 M, 78 F) patients with Type 2 diabetes mellitus. Measurements: Adiponectin, leptin, high-sensitivity C-reactive protein (hs-CRP), fasting plasma insulin, glucose, glycated hemoglobin and full lipid profile. Patients were classified on the basis of the degree of adiposity, insulin resistance (IR) (homeostasis model assessment of insulin resistance (HOMA-IR)) and the number of the American Heart Association and the National Heart, Lung and Blood Institute criteria of the metabolic syndrome. Results: Adiponectin levels were inversely correlated with age, indices of obesity, IR and hs-CRP. Overweight/obese and nonobese insulin-sensitive patients had significantly higher (Po0.05) adiponectin levels than those with IR despite similar body mass index and waist circumference. Therefore, within each category of obesity stratification, lower adiponectin levels were associated with IR. Adiponectin showed stepwise decrease with increasing number of the criteria for diagnosis of the metabolic syndrome. Using multiple logistic regression, the odds ratio of the metabolic syndrome as predicted by adiponectin was 0.73 (95% confidence interval 0.53-0.96; P ¼ 0.04). At cutoff point of 18 ng/ml, the diagnostic sensitivity and specificity of adiponectin for the metabolic syndrome were 83 and 65%, respectively, in male patients and 92 and 41%, respectively, in female patients. Receiver operating characteristic analysis showed that adiponectin had significantly higher area under the curve compared with leptin, leptin:adiponectin ratio and triglycerides for the detection of the metabolic syndrome. Conclusions: In patients with Type 2 diabetes, adiponectin concentrations are closely related to IR and the components of the metabolic syndrome. Adiponectin concentration may be a useful addition to the criteria used for identifying obese subjects with the metabolic syndrome.

The HOMA computational method is a significant determinant of the associations and classification of insulin resistance.