Options
Identification of β2-microglobulin as a urinary biomarker for chronic allograft nephropathy using proteomic methods
Alternative Title
β2 microglobulin and chronic allograft nephropathy
Date Issued
2011-08
Date Available
2011-07-12T15:35:43Z
Abstract
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 (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 β2 microglobulin were found in the urine of patients with CAN compared to the urine of normal renal function transplant recipients (p<0.001).
Conclusions and clinical relevance: Whilst 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 non-invasive methods in a clinical setting, this study clearly shows a capability to stratify control and disease patients.
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 (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 β2 microglobulin were found in the urine of patients with CAN compared to the urine of normal renal function transplant recipients (p<0.001).
Conclusions and clinical relevance: Whilst 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 non-invasive methods in a clinical setting, this study clearly shows a capability to stratify control and disease patients.
Sponsorship
Higher Education Authority
European Research Council
Health Research Board
Other funder
Other Sponsorship
Irish Nephrology Society
Beaumont Transplant Foundation
Type of Material
Journal Article
Publisher
Wiley
Journal
Proteomics - Clinical Applications
Volume
5
Issue
7-8
Start Page
422
End Page
431
Copyright (Published Version)
2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Subject – LCSH
Kidneys--Diseases
Blood proteins
Kidneys--Transplantation
Biochemical markers
Mass spectrometry
Web versions
Language
English
Status of Item
Peer reviewed
ISSN
1862-8354
This item is made available under a Creative Commons License
File(s)
Loading...
Name
Johnston et al PRCA2011.pdf
Size
281.03 KB
Format
Adobe PDF
Checksum (MD5)
287f5b64c1870b70e08987982b170add
Owning collection
Mapped collections