4.5 Article

A discovery-phase urine proteomics investigation in type 1 diabetes

Journal

ACTA DIABETOLOGICA
Volume 49, Issue 6, Pages 453-464

Publisher

SPRINGER-VERLAG ITALIA SRL
DOI: 10.1007/s00592-012-0407-0

Keywords

Type 1 diabetes; Urine proteomics; HbA(1c); Microalbuminuria; Biomarkers; Diabetic nephropathy

Funding

  1. [ICT SIAI 101 SARDEGEN]

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Diabetes is a chronic metabolic disease which can lead to serious health problems particularly in and to the development of cardiovascular and renal complications. The aim of this study is to possibly identify distinctive molecular features in urine samples which might correlate to the progression and complications of type 1 diabetes. Diabetic patients with normo- and micro-albuminuria have been analyzed and compared to a group of control subjects. Urine proteins of control and type 1 diabetes subjects were investigated in their proteome profiles, using high-resolution two-dimensional gel electrophoresis separation and protein identifications by MALDI-TOF-MS and LC-MS/MS analysis. Proteomics analysis highlighted differential expression of several proteins between control and type 1 diabetes subjects. In particular, five proteins were found to be down-regulated and four proteins up-regulated. Lower protein representations in diabetic subjects were associated with Tamm-Horsfall urinary glycoprotein, apolipoprotein A-I, apolipoprotein E, alpha 2-thiol proteinase inhibitor, and human complement regulatory protein CD59, while higher protein representations were found for alpha-1-microglobulin, zinc-alpha 2 glycoprotein, alpha-1B glycoprotein, and retinol-binding protein 4. These differences were maintained comparing control subjects with type 1 diabetes normo-albuminuric and micro-albuminuric subjects. Furthermore, these proteins are correlated to glycosylated hemoglobin and microalbuminuria, confirming their role in diabetic pathology. This study gives new insights on potential molecular mechanisms associated with the complications of type 1 diabetic disease providing evidences of urine proteins potentially exploitable as putative prognostic biomarkers.

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