Evidence map›Paper›PMID 32918330›Full record

ArticleJournal of cellular and molecular medicine2020

A circulating exosomal microRNA panel as a novel biomarker for monitoring post-transplant renal graft function.

Yimeng Chen, Xu Han, Yangyang Sun, Xiaozhou He, Dong Xue

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 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

5 authors at 1 institution in 1 country.

Yimeng ChenDepartment of Urology, The Third Affiliated Hospital of Soochow University, Changzhou, China.ORCID 0000-0002-0588-8307
Xu HanDepartment of Urology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Yangyang SunDepartment of Urology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Xiaozhou HeDepartment of Urology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Dong XueDepartment of Urology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate and effective biomarkers for continuous monitoring of graft function are needed after kidney transplantation. The aim of this study was to establish a circulating exosomal miRNA panel as non-invasive biomarker for kidney transplant recipients. Plasma exosomes of 58 kidney transplant recipients and 27 healthy controls were extracted by gel exclusion chromatography and characterized by transmission electron microscopy, nanoparticle tracking analysis and Western blotting. Post-transplant renal graft function was evaluated by estimated glomerular filtration rate (eGFR). Quantitative real-time polymerase chain reaction was used to determine the expression of exosomal microRNAs (miRNAs). Exosomal miR-21, miR-210 and miR-4639 showed negative correlations with eGFR in the training set and were selected for further analysis. In the validation set, miR-21, miR-210 and miR-4639 showed the capability to discriminate between subjects with chronic allograft dysfunction (eGFR < 60 mL/min/1.73 m

Indexed as

Kidney TransplantationAdultBiomarkersCirculating MicroRNAExosomesFemaleGene Expression RegulationGlomerular Filtration RateHumansMaleROC CurveBiomarkersCirculating MicroRNAbiomarkerestimated glomerular filtration rateexosomeskidney transplantMicroRNAs

Identifiers

PMID32918330
PMCPMC7579686
OpenAlexW3085271488

What OpenQuestion holds

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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.