Genomics | Protein Chemistry & Proteomics | Medical Genetics | Renal Immunology & Pathology (incl. Glomerular Diseases) | Methods for Diagnostic & Therapeutic Studies
Urine proteome profile: An attempt to biomarker discovery for the non-invasive diagnosis of IgA nephropathy
Maria Teresa Rocchetti*, Massimo Papale1, Salvatore di Paolo, Grazia Vocino, Ida Valentina Suriano, Giuseppe Grandaliano, Loreto Gesualdo
*Corresponding author: Maria Teresa Rocchetti
Department of Biomedical Sciences-Section of Nephrology, Department of Bioagromed, University of Foggia, Foggia, Italy
F1000Posters 2011, 2: 1177 (poster) [ENGLISH]
Poster [2.85 MB]
48th Congress of the European Renal Association and European Dialysis and Transplant Association 2011, 23 - 26 Jun 2011, F-265
In the present study we generated urine proteomic profiles from IgA nephropathy (IgAN) patients by Surface-Enhanced Laser Desorption/Ionization-Time Of Flight/Mass Spectrometry (SELDI-TOF/MS) with the aim to recognize a set of biomarkers possibly allowing the non-invasive diagnosis of the disease.
Urine proteins from 49 biopsy-proven IgAN patients, 42 patients with non-IgA biopsy-proven chronic nephropathies and 36 healthy individuals were analyzed on SELDI-TOF/MS. The dataset was managed by both univariate and supervised statistical analysis.
Univariate analysis identified 11 mass peaks which discriminate IgAN from non-IgAN patients. Among them, 8 of 11 mass peaks also discriminated IgAN patients from healthy individuals (CTRL). Classification and Regression Tree (CART) analysis allowed us to build up a classification tree based on three main predictors that we were able to correctly classify, in the blinded testing set, IgAN and non-IgAN with 88% sensitivity and 72% specificity. A second classification tree based on two main predictors was also able to correctly classify IgAN and CTRL with 90% sensitivity and specificity. Mass peaks were isolated by two-dimensional gel electrophoresis and identified by MALDI-TOF-MS/MS analysis.
Urine proteome analysis can help to identify non-invasive biomarkers to distinguish IgAN from non-IgAN nephropathies.
No relevant conflicts of interest declared.
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