Literature DB >> 24304377

Urine free light chains as a novel biomarker of acute kidney allograft injury.

Rubin Zhang1, Min Li, Kanwaljit K Chouhan, Eric E Simon, Lotuce Lee Hamm, Vecihil Batuman.   

Abstract

BACKGROUND: We evaluated urine free light chains (FLC) as a potential biomarker for acute kidney allograft injury (AKAI).
METHODS: Urine κ and λ FLC were compared with urine β-2 microglobulin (β2-M), retinol-binding protein (RBP), kidney injury molecule 1 (KIM-1), neutrophil gelatinase-associated lipocalin (NGAL), and microalbuminuria (MAB) in biopsy-confirmed acute rejection (AR) and acute tubular necrosis (ATN). Healthy volunteers (normal) and transplant recipients with normal allograft function (control) were used as references.
RESULTS: Compared with control or normal group (N = 15), urine FLC, MAB, and RBP were higher in ATN (N = 29) and AR (N = 41) groups (p < 0.05). There was no difference in KIM-1, NGAL, or β2-M between four groups. In the AR group, urine κFLC demonstrated the highest predictive value with sensitivity of 95.12% and specificity of 87.5% (p < 0.0001). Urine κFLC also performed best with a sensitivity of 96.55% and specificity of 93.33% (p < 0.0001) in the ATN group. The area under the receiver operating characteristic (ROC) curves (AUC) by ROC analysis is greatest in urine RBP (100%) and FLC (99%), and lowest in KIM-1 (53.5%), then NGAL (71.5%) in the AR group. The AUC is also greatest in urine FLC (100%) and RBP (99%), and lowest in urine KIM-1 (55.6%) and NGAL (69.9%) in the ATN group.
CONCLUSIONS: Urine FLC appears sensitive for both AR and ATN, and it may be a novel AKAI biomarker.
© 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  acute kidney injury; acute rejection; acute tubular necrosis; biomarker; kidney transplant; urine free light chains

Mesh:

Substances:

Year:  2013        PMID: 24304377      PMCID: PMC4765921          DOI: 10.1111/ctr.12271

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


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