Back to Search
Start Over
An analysis of the relationship between donor and recipient biomarkers and kidney graft function, dysfunction, and rejection.
- Source :
-
Transplant immunology [Transpl Immunol] 2023 Dec; Vol. 81, pp. 101934. Date of Electronic Publication: 2023 Sep 20. - Publication Year :
- 2023
-
Abstract
- Background: The study aimed to find predictive biomarkers to evaluate donor kidney function to predict graft dysfunction as well as to assess an early signs of acute graft rejection.<br />Method: Twenty-seven deceased donors and 54 recipients who underwent a successful kidney transplantation were enrolled in the study. An assessment was made in serum and urine from donors and recipients to measure the following biomarkers: neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), tissue inhibitor of metalloproteinase 2 (TIMP-2) and urinary N-acetyl-b-D-glucosaminidase (uNAG). These biomarkers were used to establish a model for predicting a reduced graft function (RGF) classified as either a delayed or slow graft function.<br />Result: Our analysis suggest that out of four tested biomarkers, the serum TIMP-2 and uNAG levels of the donors had a predictive value for RGF; the area under the receiver operating characteristic curves (AUROC) of serum TIMP-2 and uNAG were 0.714 and 0.779, respectively. The combined best fitting prediction model of serum TIMP-2, uNAG, and creatinine levels was better in predicting RGF than the serum creatinine level alone. In addition, the recipient serum TIMP-2 level on the third day post-transplantation (D3) was associated with the estimated glomerular filtration rate (eGFR) on the seventh day post-transplantation (D7; OR 1.119, 95% CI 1.016-1.233, p = 0.022). Furthermore, the ROC curve value revealed that the AUROC of TIMP-2 on D3 was 0.99 (95% CI 0.97-1, p < 0.001), and this was the best predictive value of the renal function on D7.<br />Conclusions: Donor serum TIMP-2 and uNAG levels are useful predictive biomarkers because they can provide the donor-based prediction for RGF.<br />Competing Interests: Declaration of Competing Interest The authors declare that there is no conflict of interest.<br /> (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1878-5492
- Volume :
- 81
- Database :
- MEDLINE
- Journal :
- Transplant immunology
- Publication Type :
- Academic Journal
- Accession number :
- 37739236
- Full Text :
- https://doi.org/10.1016/j.trim.2023.101934