Urinary Biomarkers in a Living Donor Kidney Transplantation Cohort—Predictive Value on Graft Function

Author:

Huisman G. J. Julia12ORCID,Spraakman Nora A.2ORCID,Koomen Jeroen V.2ORCID,Talsma A. Marrit2,Pol Robert A.1ORCID,Berger Stefan P.3ORCID,Leuvenink Henri G. D.1,Struys Michel M. R. F.24,Nieuwenhuijs-Moeke Gertrude J.2ORCID

Affiliation:

1. University Medical Center Groningen, Department of Surgery, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands

2. University Medical Center Groningen, Department of Anesthesiology, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands

3. University Medical Centre Groningen, Department of Internal Medicine, Division of Nephrology, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands

4. Department of Basic and Applied Medical Sciences, Ghent University, 9000 Gent, Belgium

Abstract

Early non-invasive detection and prediction of graft function after kidney transplantation is essential since interventions might prevent further deterioration. The aim of this study was to analyze the dynamics and predictive value of four urinary biomarkers: kidney injury molecule-1 (KIM-1), heart-type fatty acid binding protein (H-FABP), N-acetyl-β-D-glucosaminidase (NAG), and neutrophil gelatinase-associated lipocalin (NGAL) in a living donor kidney transplantation (LDKT) cohort. Biomarkers were measured up to 9 days after the transplantation of 57 recipients participating in the VAPOR-1 trial. Dynamics of KIM-1, NAG, NGAL, and H-FABP significantly changed over the course of 9 days after transplantation. KIM-1 at day 1 and NAG at day 2 after transplantation were significant predictors for the estimated glomerular filtration rate (eGFR) at various timepoints after transplantation with a positive estimate (p < 0.05), whereas NGAL and NAG at day 1 after transplantation were negative significant predictors (p < 0.05). Multivariable analysis models for eGFR outcome improved after the addition of these biomarker levels. Several donor, recipient and transplantation factors significantly affected the baseline of urinary biomarkers. In conclusion, urinary biomarkers are of added value for the prediction of graft outcome, but influencing factors such as the timing of measurement and transplantation factors need to be considered.

Funder

University Medical Center Groningen

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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