ArticleClinical transplantation
Urine free light chains as a novel biomarker of acute kidney allograft injury.
Article in Clinical transplantation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 14 citations in OpenAlex.
- Evaluation of NAG, NGAL, and KIM-1 as Prognostic Markers of the Initial Evolution of Kidney Transplantation.Diagnostics (Basel, Switzerland) · 2023Article
- Mechanisms Underlying Increased TIMP2 and IGFBP7 Urinary Excretion in Experimental AKI.Journal of the American Society of Nephrology : JASN · 2018Article
- Urinary free light chains may help to identify infection in patients with elevated systemic inflammation due to rheumatic disease.Rheumatology international · 2017Article
- The significance and predictive value of free light chains in the urine of patients with chronic inflammatory rheumatic disease.Clinical rheumatology · 2016Article
- Urinary Kininogen-1 and Retinol binding protein-4 respond to Acute Kidney Injury: predictors of patient prognosis?Scientific reports · 2016Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundWe evaluated urine free light chains (FLC) as a potential biomarker for acute kidney allograft injury (AKAI).
methodsUrine 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.
resultsCompared 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.
conclusionsUrine FLC appears sensitive for both AR and ATN, and it may be a novel AKAI biomarker.
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