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

被引:1
作者
Huisman, G. J. Julia [1 ,2 ]
Spraakman, Nora A. [2 ]
Koomen, Jeroen V. [2 ]
Talsma, A. Marrit [2 ]
Pol, Robert A. [1 ]
Berger, Stefan P. [3 ]
Leuvenink, Henri G. D. [1 ]
Struys, Michel M. R. F. [2 ,4 ]
Nieuwenhuijs-Moeke, Gertrude J. [2 ]
机构
[1] Univ Groningen, Univ Med Ctr Groningen, Dept Surg, Hanzeplein 1, NL-9713 GZ Groningen, Netherlands
[2] Univ Groningen, Univ Med Ctr Groningen, Dept Anesthesiol, Hanzeplein 1, NL-9713 GZ Groningen, Netherlands
[3] Univ Groningen, Univ Med Ctr Groningen, Dept Internal Med, Div Nephrol, Hanzeplein 1, NL-9713 GZ Groningen, Netherlands
[4] Univ Ghent, Dept Basic & Appl Med Sci, B-9000 Ghent, Belgium
关键词
kidney transplantation; urinary biomarkers; prediction models; GELATINASE-ASSOCIATED LIPOCALIN; INJURY MOLECULE-1 EXPRESSION; BETA-D-GLUCOSAMINIDASE; ALLOGRAFT; NGAL; EXCRETION; MARKER; NEPHROPATHY; ASSOCIATION; DYSFUNCTION;
D O I
10.3390/ijms24065649
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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-beta-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.
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页数:12
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