Evidence map›Paper›PMID 36073758›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2023

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

Jacopo Burrello, Silvia Monticone, Alessio Burrello, Sara Bolis, Carlotta Pia Cristalli, Giorgia Comai, Valeria Corradetti, Cristina Grange, Giuseppe Orlando, Massimiliano Bonafè and 3 more

Abstract read
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Discovery of Donor-Derived Exosomal DNA as an Exploratory Biomarker of Kidney Graft Rejection: A Cross-Sectional Study.Transplant international : official journal of the European Society for Organ Transplantation · 2026
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  17. Characteristic changes in blood routine and peripheral blood lymphocyte subpopulations in recipients of different types of rejection.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Jacopo BurrelloCardiovascular Theranostics, Istituto Cardiocentro Ticino, Laboratories for Translational Research, Ente Ospedaliero Cantonale, Bellinzona, Switzerland.
Silvia MonticoneDepartment of Medical Sciences, University of Torino, Italy.ORCID 0000-0002-7322-2005
Alessio BurrelloDepartment of Electrical, Electronic and Information Engineering (DEI), University of Bologna, Italy.ORCID 0000-0002-6215-8220
Sara BolisCardiovascular Theranostics, Istituto Cardiocentro Ticino, Laboratories for Translational Research, Ente Ospedaliero Cantonale, Bellinzona, Switzerland.
Carlotta Pia CristalliIRCCS - Azienda Ospedaliero-Universitaria di Bologna, Nephrology, Dialysis and Renal Transplant Unit, University of Bologna, Italy.
Giorgia ComaiIRCCS - Azienda Ospedaliero-Universitaria di Bologna, Nephrology, Dialysis and Renal Transplant Unit, University of Bologna, Italy.
Valeria CorradettiIRCCS - Azienda Ospedaliero-Universitaria di Bologna, Nephrology, Dialysis and Renal Transplant Unit, University of Bologna, Italy.
Cristina GrangeDepartment of Medical Sciences, University of Torino, Italy.
Giuseppe OrlandoDepartment of Surgery, Section of Transplantation, Wake Forest University School of Medicine, Winston Salem, NC, USA.
Massimiliano BonafèIRCCS - Azienda Ospedaliero-Universitaria di Bologna, Nephrology, Dialysis and Renal Transplant Unit, University of Bologna, Italy.
Gaetano La MannaIRCCS - Azienda Ospedaliero-Universitaria di Bologna, Nephrology, Dialysis and Renal Transplant Unit, University of Bologna, Italy.
Lucio BarileCardiovascular Theranostics, Istituto Cardiocentro Ticino, Laboratories for Translational Research, Ente Ospedaliero Cantonale, Bellinzona, Switzerland.ORCID 0000-0002-5827-0439
Benedetta BussolatiDepartment of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy.ORCID 0000-0002-3663-5134

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA 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.

methodsWe 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.

resultsEndothelial 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.

conclusionsAn 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.

Indexed as

Body FluidsExtracellular VesiclesKidney TransplantationBiomarkersEndothelial CellsGlomerular Filtration RateHumansKidneyBiomarkersbiomarkerchronic kidney diseaseextracellular vesiclekidney transplantmachine learning

Identifiers

PMID36073758
PMCPMC9976747

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.