Evidence map›Paper›PMID 34131583›Full record

ArticleTransplantation direct2021

A Combined microRNA and Chemokine Profile in Urine to Identify Rejection After Kidney Transplantation.

Els M Gielis, Jacqueline D H Anholts, Els van Beelen, Geert W Haasnoot, Hans W De Fijter, Ingeborg Bajema, Sebastiaan Heidt, Mathijs van de Vrie, Luuk B Hilbrands, Marko J K Mallat and 3 more

Open access · goldAbstract read
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Article in Transplantation direct, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Els M GielisDepartment of Immunology, Leiden University Medical Center, Leiden, The Netherlands.
Jacqueline D H AnholtsDepartment of Immunology, Leiden University Medical Center, Leiden, The Netherlands.
Els van BeelenDepartment of Immunology, Leiden University Medical Center, Leiden, The Netherlands.
Geert W HaasnootDepartment of Immunology, Leiden University Medical Center, Leiden, The Netherlands.
Hans W De FijterDepartment of Nephrology, Leiden University Medical Center, Leiden, The Netherlands.
Ingeborg BajemaDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
Sebastiaan HeidtDepartment of Immunology, Leiden University Medical Center, Leiden, The Netherlands.
Mathijs van de VrieDepartment of Nephology, Radboud University Medical Center, Nijmegen, The Netherlands.
Luuk B HilbrandsDepartment of Nephology, Radboud University Medical Center, Nijmegen, The Netherlands.
Marko J K MallatDepartment of Nephrology, Leiden University Medical Center, Leiden, The Netherlands.
Kristien J LedeganckLaboratory of Experimental Medicine and Pediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium.
Frans H J ClaasDepartment of Immunology, Leiden University Medical Center, Leiden, The Netherlands.
Michael EikmansDepartment of Immunology, Leiden University Medical Center, Leiden, The Netherlands.
Leiden University Medical Center · NLUniversity of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an unmet need for noninvasive tools for diagnosis of rejection after kidney transplantation. The aim of this study was to determine the discriminative value of a combined cellular and molecular biomarker platform in urine for the detection of rejection.

methodsFirst, microRNA (miR) molecules were screened in transplant biopsies and urine sediments of patients with acute rejection and patients without rejection and stable graft function. Second, the expression of 15 selected miRs was quantified in an independent set of 115 urine sediments of patients with rejection and 55 urine sediments of patients without histological signs of rejection on protocol biopsy. Additionally, CXCL-9 and CXCL-10 protein levels were quantified in the urine supernatant.

resultsLevels of miR-155-5p (5.7-fold), miR-126-3p (4.2-fold), miR-21-5p (3.7-fold), miR-25-3p (2.5-fold), and miR-615-3p (0.4-fold) were significantly different between rejection and no-rejection urine sediments. CXCL-9 and CXCL-10 levels were significantly elevated in urine from recipients with rejection. In a multivariable model (sensitivity: 89.1%, specificity: 75.6%, area under the curve: 0.94,

conclusionsA combined urinary microRNA and chemokine profile discriminates kidney transplant rejection from stable graft conditions.

Identifiers

PMID34131583
PMCPMC8196093
OpenAlexW3172891529

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LicenceCC BY-NC-ND
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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.