Literature DB >> 21751411

Identification of β2-microglobulin as a urinary biomarker for chronic allograft nephropathy using proteomic methods.

Olwyn Johnston1, Hilary Cassidy, Séin O'Connell, Aisling O'Riordan, William Gallagher, Patricia B Maguire, Kieran Wynne, Gerard Cagney, Michael P Ryan, Peter J Conlon, Tara McMorrow.   

Abstract

PURPOSE: Chronic allograft nephropathy (CAN) remains the leading cause of renal graft loss after the first year following renal transplantation. This study aimed to identify novel urinary proteomic profiles, which could distinguish and predict CAN in susceptible individuals. EXPERIMENTAL
DESIGN: The study included 34 renal transplant patients with histologically proven CAN and 36 patients with normal renal transplant function. High-throughput proteomic profiles were generated from urine samples with three different ProteinChip arrays by surface-enhanced laser-desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS). Following SELDI, a biomarker pattern software analysis was performed which led to the identification of a novel biomarker pattern that could distinguish patients with CAN from those with normal renal function.
RESULTS: An 11.7 kDa protein identified as β2 microglobulin was the primary protein of this biomarker pattern, distinguishing CAN from control patients (receiver operator characteristic [ROC]=0.996). SELDI-TOF-MS comparison of purified β2 microglobulin protein and CAN urine demonstrated identical 11.7 kDa protein peaks. Significantly, higher concentrations of 2 microglobulin were found in the urine of patients with CAN compared with the urine of normal renal function transplant recipients (p<0.001). CONCLUSIONS AND CLINICAL RELEVANCE: Although further validation in a larger more diverse patient population is required to determine if this β2 microglobulin protein biomarker will provide a potential means of diagnosing CAN by noninvasive methods in a clinical setting, this study clearly shows a capability to stratify control and disease patients.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2011        PMID: 21751411     DOI: 10.1002/prca.201000160

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  10 in total

Review 1.  Advances in Detection of Kidney Transplant Injury.

Authors:  Sanjeeva Herath; Jonathan Erlich; Amy Y M Au; Zoltán H Endre
Journal:  Mol Diagn Ther       Date:  2019-06       Impact factor: 4.074

Review 2.  Proteomics for rejection diagnosis in renal transplant patients: Where are we now?

Authors:  Wilfried Gwinner; Jochen Metzger; Holger Husi; David Marx
Journal:  World J Transplant       Date:  2016-03-24

3.  HMGB1, TGF-β and NF-κB are associated with chronic allograft nephropathy.

Authors:  Shi-Qi Zhao; Zhen-Zhen Xue; Ling-Zhang Wang
Journal:  Exp Ther Med       Date:  2017-10-17       Impact factor: 2.447

Review 4.  Proteomics and metabolomics in renal transplantation-quo vadis?

Authors:  Rahul Bohra; Jacek Klepacki; Jelena Klawitter; Jost Klawitter; Joshua M Thurman; Uwe Christians
Journal:  Transpl Int       Date:  2012-11-21       Impact factor: 3.782

Review 5.  Biomarkers in Transplantation--Proteomics and Metabolomics.

Authors:  Uwe Christians; Jelena Klawitter; Jost Klawitter
Journal:  Ther Drug Monit       Date:  2016-04       Impact factor: 3.681

Review 6.  Rediscovering Beta-2 Microglobulin As a Biomarker across the Spectrum of Kidney Diseases.

Authors:  Christos P Argyropoulos; Shan Shan Chen; Yue-Harn Ng; Maria-Eleni Roumelioti; Kamran Shaffi; Pooja P Singh; Antonios H Tzamaloukas
Journal:  Front Med (Lausanne)       Date:  2017-06-15

Review 7.  Biomarkers in renal transplantation: An updated review.

Authors:  Maurizio Salvadori; Aris Tsalouchos
Journal:  World J Transplant       Date:  2017-06-24

Review 8.  High-Throughput Proteomic Approaches to the Elucidation of Potential Biomarkers of Chronic Allograft Injury (CAI).

Authors:  Hilary Cassidy; Jennifer Slyne; Helena Frain; Craig Slattery; Michael P Ryan; Tara McMorrow
Journal:  Proteomes       Date:  2013-09-23

9.  Identification of novel biomarkers for sepsis diagnosis via serum proteomic analysis using iTRAQ-2D-LC-MS/MS.

Authors:  Meng Li; Rongrong Ren; Molei Yan; Shangzhong Chen; Chen Chen; Jing Yan
Journal:  J Clin Lab Anal       Date:  2021-11-26       Impact factor: 2.352

Review 10.  Advances in MALDI mass spectrometry in clinical diagnostic applications.

Authors:  Eddy W Y Ng; Melody Y M Wong; Terence C W Poon
Journal:  Top Curr Chem       Date:  2014
  10 in total

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