The GenoDiabMar Registry: A Collaborative Research Platform of Type 2 Diabetes Patients.

The GenoDiabMar registry is a prospective study that aims to provide data on demographic, biochemical, and clinical changes in type 2 diabetic (T2D) patients attending real medical outpatient consultations. This registry is also used to find new biomarkers related to the micro- and macrovascular complications of T2D, with a particular focus on diabetic nephropathy. With this purpose, longitudinal serum and urine samples, DNA banking, and data on 227 metabolomics profiles, 77 immunoglobulin G glycomics traits, and other emerging biomarkers were recorded in this cohort.

Circulating metabolic biomarkers of renal function in diabetic and non-diabetic populations.

Using targeted NMR spectroscopy of 227 fasting serum metabolic traits, we searched for novel metabolic signatures of renal function in 926 type 2 diabetics (T2D) and 4838 non-diabetic individuals from four independent cohorts. We furthermore investigated longitudinal changes of metabolic measures and renal function and associations with other T2D microvascular complications. 142 traits correlated with glomerular filtration rate (eGFR) after adjusting for confounders and multiple testing: 59 in diabetics, 109 in non-diabetics with 26 overlapping.

The renin-angiotensin-aldosterone system blockade in patients with advanced diabetic kidney disease.

Background And Objectives: Diabetic kidney disease is the leading cause of end-stage chronic kidney disease. The renin-angiotensin-aldosterone system (RAAS) blockade has been shown to slow the progression of diabetic kidney disease. Our objectives were: to study the percentage of patients with diabetic kidney disease treated with RAAS blockade, to determine its renal function, safety profile and assess whether its administration is associated with increased progression of CKD after 3 years of follow-up.

Diabetic nephropathy is an independent factor associated to severe subclinical atheromatous disease.

Background: Atheromatous disease (AD) is a risk factor for death in renal patients. Traditional CV risk factors do not predict the presence of AD in this population. The aim of this study is to analyze whether the etiology of the primary renal disease influences in the risk of having silent AD.