Evidence map›Paper›PMID 32751357›Full record

ReviewInternational journal of molecular sciences2020

Recent Advances on Biomarkers of Early and Late Kidney Graft Dysfunction.

Marco Quaglia, Guido Merlotti, Gabriele Guglielmetti, Giuseppe Castellano, Vincenzo Cantaluppi

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
6.9field-weighted citation impact, top 2% of its field
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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.

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  8. Noninvasive diagnosis and classification of kidney transplantation rejection byEuropean journal of nuclear medicine and molecular imaging · 2025
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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

5 authors at 2 institutions in 1 country.

Marco QuagliaNephrology and Kidney Transplantation Unit, Center for Translational Research on Autoimmune and Allergic Disease (CAAD), Department of Translational Medicine, University of Piemonte Orientale (UPO), AOU Maggiore della Carità, via Gen. P. Solaroli, 17-28100 Novara, Italy.
Guido MerlottiNephrology and Kidney Transplantation Unit, Center for Translational Research on Autoimmune and Allergic Disease (CAAD), Department of Translational Medicine, University of Piemonte Orientale (UPO), AOU Maggiore della Carità, via Gen. P. Solaroli, 17-28100 Novara, Italy.
Gabriele GuglielmettiNephrology and Kidney Transplantation Unit, Center for Translational Research on Autoimmune and Allergic Disease (CAAD), Department of Translational Medicine, University of Piemonte Orientale (UPO), AOU Maggiore della Carità, via Gen. P. Solaroli, 17-28100 Novara, Italy.ORCID 0000-0003-2531-499X
Giuseppe CastellanoNephrology, Dialysis and Transplant Unit, Department of Medical and Surgical Sciences, University of Foggia, 71121 Foggia, Italy.
Vincenzo CantaluppiNephrology and Kidney Transplantation Unit, Center for Translational Research on Autoimmune and Allergic Disease (CAAD), Department of Translational Medicine, University of Piemonte Orientale (UPO), AOU Maggiore della Carità, via Gen. P. Solaroli, 17-28100 Novara, Italy.
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” · ITUniversity of Foggia · IT

Funding

Italian Ministry of Education, University and Research (MIUR) program "Departments of Excellence 2018-2022", AGING Project - Department of Translational Medicine, University of Piemonte Orientale (UPO) and by local grants of the University of Piemonte Ori 0000
6 · The paper itself

Abstract

New biomarkers of early and late graft dysfunction are needed in renal transplant to improve management of complications and prolong graft survival. A wide range of potential diagnostic and prognostic biomarkers, measured in different biological fluids (serum, plasma, urine) and in renal tissues, have been proposed for post-transplant delayed graft function (DGF), acute rejection (AR), and chronic allograft dysfunction (CAD). This review investigates old and new potential biomarkers for each of these clinical domains, seeking to underline their limits and strengths. OMICs technology has allowed identifying many candidate biomarkers, providing diagnostic and prognostic information at very early stages of pathological processes, such as AR. Donor-derived cell-free DNA (ddcfDNA) and extracellular vesicles (EVs) are further promising tools. Although most of these biomarkers still need to be validated in multiple independent cohorts and standardized, they are paving the way for substantial advances, such as the possibility of accurately predicting risk of DGF before graft is implanted, of making a "molecular" diagnosis of subclinical rejection even before histological lesions develop, or of dissecting etiology of CAD. Identification of "immunoquiescent" or even tolerant patients to guide minimization of immunosuppressive therapy is another area of active research. The parallel progress in imaging techniques, bioinformatics, and artificial intelligence (AI) is helping to fully exploit the wealth of information provided by biomarkers, leading to improved disease nosology of old entities such as transplant glomerulopathy. Prospective studies are needed to assess whether introduction of these new sets of biomarkers into clinical practice could actually reduce the need for renal biopsy, integrate traditional tools, and ultimately improve graft survival compared to current management.

Indexed as

Artificial IntelligenceBiomarkersCell-Free Nucleic AcidsComputational BiologyDelayed Graft FunctionEarly DiagnosisExtracellular VesiclesGraft RejectionGraft SurvivalHumansKidneyKidney TransplantationPrecision MedicineRenal InsufficiencyTransplantation ToleranceBiomarkersCell-Free Nucleic Acidsacute rejectionbiomarkerscalcineurin-inhibitor nephrotoxicitychronic allograft dysfunctionchronic rejectionextracellular vesiclesimmunosuppressionPolyomavirus associated nephropathyrenal transplant

Identifiers

PMID32751357
PMCPMC7432796
OpenAlexW3046006271

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.