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DOI 10.1093/ndt/gfac259

Медицинская библиотека · Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023

Identification of a serum and urine extracellular vesicle signature predicting renal outcome after kidney transplant.

Burrello Jacopo, Monticone Silvia, Burrello Alessio, Bolis Sara, Cristalli Carlotta Pia, Comai Giorgia, Corradetti Valeria, Grange Cristina, Orlando Giuseppe, Bonafè Massimiliano, La Manna Gaetano, Barile Lucio, Bussolati Benedetta

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

A long-standing effort is dedicated towards the identification of biomarkers allowing the prediction of graft outcome after kidney transplant. Extracellular vesicles (EVs) circulating in body fluids represent an attractive candidate, as their cargo mirrors the originating cell and its pathophysiological status. The aim of the study was to investigate EV surface antigens as potential predictors of renal outcome after kidney transplant.

METHODS

We characterized 37 surface antigens by flow cytometry, in serum and urine EVs from 58 patients who were evaluated before, and at 10-14 days, 3 months and 1 year after transplant, for a total of 426 analyzed samples. The outcome was defined according to estimated glomerular filtration rate (eGFR) at 1 year.

RESULTS

Endothelial cells and platelets markers (CD31, CD41b, CD42a and CD62P) in serum EVs were higher at baseline in patients with persistent kidney dysfunction at 1 year, and progressively decreased after kidney transplant. Conversely, mesenchymal progenitor cell marker (CD1c, CD105, CD133, SSEEA-4) in urine EVs progressively increased after transplant in patients displaying renal recovery at follow-up. These markers correlated with eGFR, creatinine and proteinuria, associated with patient outcome at univariate analysis and were able to predict patient outcome at receiver operating characteristics curves analysis. A specific EV molecular signature obtained by supervised learning correctly classified patients according to 1-year renal outcome.

CONCLUSIONS

An EV-based signature, reflecting the cardiovascular profile of the recipient, and the repairing/regenerative features of the graft, could be introduced as a non-invasive tool for a tailored management of follow-up of patients undergoing kidney transplant.

Для цитирования: Burrello Jacopo, Monticone Silvia, Burrello Alessio, Bolis Sara, Cristalli Carlotta Pia, Comai Giorgia, Corradetti Valeria, Grange Cristina, Orlando Giuseppe, Bonafè Massimiliano, La Manna Gaetano, Barile Lucio, Bussolati Benedetta. Identification of a serum and urine extracellular vesicle signature predicting renal outcome after kidney transplant.. Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association. 2023. DOI: 10.1093/ndt/gfac259.

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