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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.
Aminoacylase-1 (ACY1) and other biomarkers show promise for predicting kidney transplant outcomes. Further research is needed to validate these findings for clinical application.
Area of Science:
- Nephrology
- Transplant Immunology
- Biomarker Discovery
Background:
- Delayed graft function (DGF) and long-term prognosis are critical concerns in kidney transplantation.
- Identifying reliable biomarkers for DGF prediction and patient outcomes is essential for improving transplant success rates.
Purpose of the Study:
- To evaluate Aminoacylase-1 (ACY1) and other serum biomarkers for predicting delayed graft function (DGF) and death-censored graft survival (DCGS) after kidney transplantation.
- To assess the performance of these biomarkers in both discovery and validation cohorts.
Main Methods:
- Serum samples were collected from kidney transplant recipients in two phases: a discovery cohort (n=237) and a validation cohort (n=319).
- Biomarkers including ACY1, soluble tumor necrosis factor receptor-1 (sTNFR1), and cystatin C (CysC) were measured at specific time points post-transplant.
- Statistical analyses, including receiver operating characteristic (ROC) analysis, were used to assess predictive performance for DGF and DCGS.
Main Results:
- A combined biomarker panel (ACY1, sTNFR1, CysC) showed a high area under the ROC curve (AUROC) of 0.93 for DGF prediction in the discovery phase, decreasing to 0.83 in validation.
- Individual biomarkers sTNFR1, CysC, and serum creatinine (Cr) were significantly associated with DCGS in both phases.
- ACY1 and CysC showed a consistent association with DCGS in deceased donor kidney transplants (DDKTs) experiencing DGF.
Conclusions:
- Several biomarkers, including ACY1, sTNFR1, and CysC, demonstrate potential for predicting DGF and transplant outcomes.
- Further investigation and validation are warranted to integrate these biomarkers into clinical practice for improved kidney transplant management.
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