Related Experiment Video
Updated: Jan 18, 2026

Using a Chemical Biopsy for Graft Quality Assessment
Published on: June 17, 2020
Biomarker Prediction of Delayed Graft Function and Prognosis Post-Kidney Transplantation
Rosamonde E Banks1, Michelle Wilson1, Matthew Welberry Smith2
1Leeds Institute for Medical Research at St James's, University of Leeds, Leeds, UK.
Introduction:
Aminoacylase-1 (ACY1) and additional biomarkers were evaluated for prediction of delayed graft function (DGF) and prognosis following kidney transplantation.
Methods:
Serum biomarkers were measured (days 1-2 posttransplant for DGF prediction and 1-3 for prognosis) in 237 patients transplanted in Leeds (2003-2011) in the discovery phase, and 319 patients from 7 UK transplant centers (2012-2016) in the validation phase. Median follow-up was 13.28 years (interquartile range [IQR]: 12.4-13.8) and 9.03 years (IQR: 5.19-10.16), respectively.
Results:
DGF occurred in 29.5% of discovery cohort patients and 18.2% of validation cohort patients. A DGF linear predictor combining ACY1, soluble tumor necrosis factor receptor-1 (sTNFR1) and cystatin C (CysC) demonstrated an area under the receiver operating characteristic (AUROC) of 0.93, decreasing to 0.83 during validation. Comparable values for the individual components were ACY1 (0.79 vs. 0.65), sTNFR1 (0.88 vs. 0.89), CysC (0.89 vs. 0.82), and 0.75 vs. 0.81 for serum creatinine (Cr) as the gold standard. The linear predictor variables for death-censored graft survival (DCGS) were CysC, ACY1, midkine, and recipient age at transplant, but k-statistic values of 0.55 in all transplants and 0.52 in deceased donor kidney transplants (DDKT) precluded validation. Individually, sTNFR1, CysC, and Cr were significantly associated with DCGS in both the discovery and validation phases. Preliminary findings indicated a consistent association of ACY1 and CysC with DCGS in DDKTs affected by DGF. Impacts of clinical practice changes and biomarker performance across the 2 phases are described.
Conclusion:
Several biomarkers show potential as predictors of DGF or outcome and should be explored further.
Related Concept Videos
Kidney Transplant I: Introduction
Kidney Transplant II: Surgical Procedure
Kidney Transplant III: Nursing Management
Acute Kidney Injury III: Clinical Manifestations
Blood Studies for Cardiovascular System I: Cardiac Biomarkers
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
Acute Kidney Injury IV: Diagnostic Studies and Prevention

