Evaluate the prevalence of depression in type 2 diabetics with microvascular complications.

INTRODUCTION: Diabetes is one of the most common diseases in the world that is accompanied with many microvascular complications. Any chronic disease such as diabetes can cause types of mood disorders such as depression in patients. The aim of this study was to evaluate the prevalence of depression in type 2 diabetics with microvascular complications. EXECUTION METHOD: In this cross-sectional study, type 2 diabetics with microvascular complications that referred to Hazrat Rasoul Akram Hospital during 2016-2017 were studied. After verification of retinopathy and nephropathy in patients, 100 patients were enrolled in the study and correlated between variables such as age, sex, body mass index, medication, education, retinopathy, nephropathy, marital status, hemoglobin A1c (HbA1c), triglyceride, low-density lipoprotein (LDL) and high-density lipoprotein (HDL), blood pressure, and fasting blood sugar was investigated in patients given the possibility of depression. RESULTS: The results of this study showed that 72% of patients were with depression and by evaluating the mentioned variables with depression disorder it was found that there was a significant relationship between fasting blood sugar, HbA1C, retinopathy, medication, and LDL with depression. CONCLUSION: Given the high prevalence of depression (72%) in diabetics in this study, it seems that psychiatric consultation is needed to diagnose depression in diabetics.

Inverse Association of Peripheral Orexin-A with Insulin Resistance in Type 2 Diabetes Mellitus: A Randomized Clinical Trial.

AIMS: To investigate the association between serum orexin concentrations and insulin resistance/sensitivity in a sample of patients with type 2 diabetes mellitus, and to study the effects of anti-hyperglycemic treatment on orexin concentrations over three months. METHODS: This study was designed as a randomized, open-label, clinical trial. Before allocation, sixty medication-naïve, newly-diagnosed, type 2 diabetes patients underwent a 75 g oral glucose tolerance test (OGTT). Afterwards, using a randomized trial design (IRCT201102275917N1) patients were allocated to either the metformin (1000 mg daily) or pioglitazone (30 mg daily) arm, and were reexamined after three months. Serum insulin, plasma glucose, and orexin concentrations were measured at baseline, during OGTT, and after three months. RESULTS: Orexin concentrations significantly decreased after OGTT (0 vs. 120 min: 0.63 ± 0.07 vs. 0.31 ± 0.03 ng/ml, p < 0.001). Insulin resistance determined by homeostasis model assessment of insulin resistance (HOMA-IR) was significantly and negatively correlated with orexin (r = -0.301, p = 0.024). Furthermore, orexin concentrations were significantly and positively correlated with the insulin sensitivity index derived from OGTT (r = 0.326, p = 0.014). Three-month treatment with metformin and pioglitazone significantly improved insulin sensitivity and increased orexin concentrations by 26% (p = 0.025) and 14% (p = 0.076), respectively. Between-group analysis showed that changes in orexin concentrations with metformin and pioglitazone were not significantly different (p = 0.742). CONCLUSIONS: There was a negative association between peripheral orexin concentrations and insulin resistance in type 2 diabetes patients. Three-month anti-hyperglycemic treatment with proportionate doses of metformin or pioglitazone increased orexin concentrations via amelioration of insulin resistance and improvement of glycemic control.

All-Cause and Cardiovascular Mortality following Treatment with Metformin or Glyburide in Patients with Type 2 Diabetes Mellitus.

BACKGROUND: Both metformin and sulfonylurea (SU) drugs are among the most widely-used anti-hyperglycemic medications in patients with type 2 diabetes mellitus (T2DM). Previous studies have shown that treatment with SUs might be associated with decreased survival compared with metformin. This study aimed to evaluate all-cause and cardiovascular mortality rates between glyburide and metformin in patients diagnosed with T2DM. METHODS: This was a cohort study on 717 patients with T2DM (271 undergoing monotherapy with glyburide and 446 with metformin). Data were gathered from 2001 to 2014. All-cause and cardiovascular mortality were end-points. RESULTS: During the follow-up, 24 deaths were identified, of which 13 were cardiovascular in nature. The group with glyburide monotherapy had greater all-cause mortality (17 (6.3%) in glyburide vs. 7 (1.6%) in metformin, P = 0.001) and cardiovascular mortality (11 (4.1%) in glyburide vs. 2 (0.4%) in metformin; P = 0.001). Metformin was more protective than glyburide for both all-cause (HR: 0.27 [0.10 - 0.73] P-value = 0.01) and cardiovascular mortality (HR: 0.12 [0.20 - 0.66], P-value = 0.01) after multiple adjustments for cardiovascular risk factors. Among adverse cardiovascular events, non-fatal MI was higher in glyburide compared to metformin monotherapy group (3.2% vs. 0.8%; P-value = 0.03), but not coronary artery bypass grafting (P-value = 0.85), stenting (P-value = 0.69), need for angiography (P-value = 0.24), CCU admission (P-value = 0.34) or cerebrovascular accident (P-value = 0.10). CONCLUSION: Treatment with glyburide is associated with increased all-cause and cardiovascular mortality in patients with T2DM.

The lost correlation between heat shock protein 70 (HSPA1A) and plasminogen activator inhibitor-1 in patients with type 2 diabetes and albuminuria.

We aimed to study the relation between plasma levels of stress-induced heat shock protein 70 (HSPA1A) with plasminogen activator inhibitor-1 (PAI-1) and high-density lipoprotein cholesterol (HDL-C), apolipoprotein A1 (Apo-A1), and HDL-C/Apo-A1 ratio. In a matched case-control study on patients with diabetes (40 patients with albuminuria and 40 without albuminuria matched for age, sex, and body mass index), we observed that plasma levels of HSPA1A and PAI-1 are increased in patients with albuminuria (0.55 ± 0.02 vs. 0.77 ± 0.04 ng/ml, p value <0.001 for HSPA1A; 25.9 ± 2 vs. 31.8 ± 2.4 ng/ml, p value <0.05 for PAI-1). There was a significant correlation between HSPA1A and PAI-1 in diabetic patients without albuminuria (r = 0.28; p value = 0.04), but not in those with albuminuria (r = 0.07; p value = 0.63). No association was found between HSPA1A and HDL-C, between HSPA1A and Apo-A1, or between HSPA1A and HDL-C/Apo-A1 ratio. We concluded that there is a direct correlation between plasma HSPA1A and PAI-1 levels in patients with diabetes, which is lost when they develop albuminuria.