# Biomarker Prediction of Delayed Graft Function and Prognosis Post–Kidney Transplantation

**Authors:** Rosamonde E. Banks, Michelle Wilson, Matthew Welberry Smith, Andrew J.P. Lewington, Mary Jo Kurth, Helen Sewell, Rebecca Bartle, Joanne M. Watt, Mark W. Ruddock, Damien McAleer, Hanagh Winter, Peter Fitzgerald, Paul Gibbs, Neil S. Sheerin, Colin Jones, John Stoves, Dan Ridgway, William S. McKane, Anusha Edwards, Sunil Bhandari, Matthew Edey, Douglas Thompson, Carys M. Lippiatt, Peter J. Selby

PMC · DOI: 10.1016/j.ekir.2025.10.021 · Kidney International Reports · 2025-11-05

## TL;DR

The study identifies biomarkers like ACY1 and CysC that may predict kidney transplant outcomes and delayed graft function.

## Contribution

The study introduces a novel linear predictor combining ACY1, sTNFR1, and CysC for predicting delayed graft function with high accuracy.

## Key findings

- A DGF linear predictor combining ACY1, sTNFR1, and CysC achieved an AUROC of 0.93 in discovery and 0.83 in validation.
- ACY1 and CysC showed consistent associations with death-censored graft survival in deceased donor transplants affected by DGF.

## Abstract

Aminoacylase-1 (ACY1) and additional biomarkers were evaluated for prediction of delayed graft function (DGF) and prognosis following kidney transplantation.

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.

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.

Several biomarkers show potential as predictors of DGF or outcome and should be explored further.

## Linked entities

- **Genes:** ACY1 (aminoacylase 1) [NCBI Gene 95]
- **Proteins:** ACY1 (aminoacylase 1), cysC (adenylyl-sulfate kinase), mdk.S (midkine S homeolog)

## Full-text entities

- **Genes:** ACY1 (aminoacylase 1) [NCBI Gene 95] {aka ACY-1, ACY1D, HEL-S-5}, CST3 (cystatin C) [NCBI Gene 1471] {aka ADLDWA, ARMD11, HEL-S-2}
- **Chemicals:** Cr (MESH:D003404)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12799578/full.md

## References

80 references — full list in the complete paper: https://tomesphere.com/paper/PMC12799578/full.md

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Source: https://tomesphere.com/paper/PMC12799578