Varying degrees of renal injury could lead to different changes in urinary protein
composition. We want to find urinary candidate peptide biomarkers in type 2 diabetic …

Objective To monitor of type 2 diabetes more simply, conveniently and noninvasively, we are
trying to identify the potential urinary peptides that associated with different stages of …

Aims To seek urinary peptides as biomarkers distinguishing type 2 diabetes mellitus (T2DM)
patients from healthy controls. Methods Random urine samples obtained from 28 patients …

Diabetic nephropathy (DN) is the most common cause of chronic kidney disease. Although
several parameters are used to evaluate renal damage, in many instances, there is no …

Introduction Human urine is a complex matrix of proteins, endogenous peptides, lipids, and
metabolites. The level of any or all of these components can reflect the pathophysiological …

The aim of this study was to establish a peptidomic profile based on LC-MS/MS and random
forest (RF) algorithm to distinguish the urinary peptidomic scenario of type 2 diabetes …

In order to effectively develop personalized medicine for kidney diseases we urgently need
to develop highly accurate biomarkers for use in the clinic, since current biomarkers of …

Aim: An advanced proteomics platform for protein biomarker discovery in diabetic chronic
kidney disease (DKD) was developed, validated and implemented. Materials & methods …

Chronic hyperglycemia is known to disrupt the proteolytic milieu, initiating compensatory
and maladaptive pathways in the diabetic kidney. Such changes in intrarenal proteolysis are …

One third of patients with type 1 diabetes and microalbuminuria experience an early,
progressive decline in renal function that leads to advanced stages of chronic kidney …