Evidence map›Paper›PMID 30837502›Full record

ArticleScientific reports2019

A urinary microRNA panel that is an early predictive biomarker of delayed graft function following kidney transplantation.

Usman Khalid, Lucy J Newbury, Kate Simpson, Robert H Jenkins, Timothy Bowen, Lucy Bates, Neil S Sheerin, Rafael Chavez, Donald J Fraser

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 4 pooled it
2.5field-weighted citation impact, top 10% 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

29 citing papers in PubMed, 4 syntheses or guidelines pooled it, 49 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

9 authors at 3 institutions in 1 country.

Usman KhalidWales Kidney Research Unit, School of Medicine, College of Biomedical & Life Sciences, Cardiff University, Heath Park Campus, Cardiff, CF14 4XN, UK.
Lucy J NewburyWales Kidney Research Unit, School of Medicine, College of Biomedical & Life Sciences, Cardiff University, Heath Park Campus, Cardiff, CF14 4XN, UK.
Kate SimpsonWales Kidney Research Unit, School of Medicine, College of Biomedical & Life Sciences, Cardiff University, Heath Park Campus, Cardiff, CF14 4XN, UK.
Robert H JenkinsWales Kidney Research Unit, School of Medicine, College of Biomedical & Life Sciences, Cardiff University, Heath Park Campus, Cardiff, CF14 4XN, UK.
Timothy BowenWales Kidney Research Unit, School of Medicine, College of Biomedical & Life Sciences, Cardiff University, Heath Park Campus, Cardiff, CF14 4XN, UK.
Lucy BatesInstitute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK.
Neil S SheerinInstitute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK.
Rafael ChavezWales Kidney Research Unit, School of Medicine, College of Biomedical & Life Sciences, Cardiff University, Heath Park Campus, Cardiff, CF14 4XN, UK.
Donald J FraserWales Kidney Research Unit, School of Medicine, College of Biomedical & Life Sciences, Cardiff University, Heath Park Campus, Cardiff, CF14 4XN, UK. fraserdj@cardiff.ac.uk.
Cardiff University · GBNewcastle upon Tyne Hospitals NHS Foundation Trust · GBUniversity Hospital of Wales · GB

Funding

Department of Health II-LA-0712-20003Medical Research Council
6 · The paper itself

Abstract

Predicting immediate and subsequent graft function is important in clinical decision-making around kidney transplantation, but is difficult using available approaches. Here we have evaluated urinary microRNAs as biomarkers in this context. Profiling of 377 microRNAs in the first urine passed post-transplantation identified 6 microRNAs, confirmed to be upregulated by RT-qPCR in an expanded cohort (miR-9, -10a, -21, -29a, -221, and -429, n = 33, P < 0.05 for each). Receiver operating characteristic analysis showed Area Under the Curve 0.94 for this panel. To establish whether this early signal was sustained, miR-21 was measured daily for 5 days post-transplant, and was consistently elevated in those developing Delayed Graft Function (n = 165 samples from 33 patients, p < 0.05). The biomarker panel was then evaluated in an independent cohort, sampled at varying times in the first week post-transplantation in a separate transplant center. When considered individually, all miRs in the panel showed a trend to increase or a significant increase in those developing delayed Graft Function (miR-9: P = 0.068, mIR-10a: P = 0.397, miR-21: P = 0.003, miR-29a: P = 0.019, miR-221: P = 0.1, and miR-429: P = 0.013, n = 47) with Area Under the Curve 0.75 for the panel. In conclusion, combined measurement of six microRNAs had predictive value for delayed graft function following kidney transplantation.

Indexed as

AdolescentAdultAgedBiomarkersChildCohort StudiesDelayed Graft FunctionFemaleHumansKidney TransplantationMaleMicroRNAsMiddle AgedYoung AdultBiomarkersMicroRNAs

Identifiers

PMID30837502
PMCPMC6401030
OpenAlexW2905727295

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.