Urinary biomarkers of chronic allograft nephropathy. Issue 5 (June 2015)

• Record Type: Journal Article
• Authors: Cassidy, Hilary; Slyne, Jennifer; O'Kelly, Patrick; Traynor, Carol; Conlon, Peter J.; Johnston, Olwyn; Slattery, Craig; Ryan, Michael P.; McMorrow, Tara; Capelo Martínez, José Luis; Lodeiro, Carlos; Santos, Hugo M.
• Is Part Of: Proteomics. Volume 9:Issue 5/6(2015)
• Page Start: 574
• Page End: 585
• Publication Date: 2015-06
• Subjects: Proteomics -- Periodicals; 572.605
• DOI: 10.1002/prca.201400200
• Languages: English
• ISSNs: 1862-8346

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="prca1678-sec-0010" sec-type="section"> <title>Purpose</title> <p>Chronic allograft nephropathy (CAN) is widely accepted as the leading cause of renal allograft loss after the first year post transplantation. This study aimed to identify urinary biomarkers that could predict CAN in transplant patients.</p> </sec> <sec id="prca1678-sec-0020" sec-type="section"> <title>Experimental design</title> <p>The study included 34 renal transplant patients with histologically proven CAN and 36 renal transplant patients with normal renal function. OrbiTrap MS was utilized to analysis a urinary fraction in order to identify other members of a previously identified biomarker tree <xref ref-type="link" rid="prca1678-bib-0001">1</xref>. This novel biomarker pattern offers the potential to distinguish between transplant recipients with CAN and those with normal renal function.</p> </sec> <sec id="prca1678-sec-0030" sec-type="section"> <title>Results</title> <p>The primary node of the biomarker pattern was reconfirmed as β2 microglobulin. Three other members of this biomarker pattern were identified: neutrophil gelatinase‐associated lipocalin, clusterin, and kidney injury biomarker 1. Significantly higher urinary concentrations of these proteins were found in patients with CAN compared to those with normal kidney function.</p> </sec> <sec id="prca1678-sec-0040" sec-type="section"> <title>Conclusions and clinical relevance</title> <p>While further validation in a larger more‐diverse patient population is required to determine if this biomarker pattern provides a potential means of diagnosing CAN by noninvasive methods in a clinical setting, this study clearly demonstrates the biomarkers' ability to stratify patients based on transplant function.</p> </sec> </abstract>