Evidence map›Paper›PMID 27872161›Full record

ArticleRNA (New York, N.Y.)2017

Identification of urinary exosomal noncoding RNAs as novel biomarkers in chronic kidney disease.

Rimpi Khurana, Glory Ranches, Simon Schafferer, Melanie Lukasser, Michael Rudnicki, Gert Mayer, Alexander Hüttenhofer

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

Article in RNA (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 3 pooled it
6.6field-weighted citation impact, top 3% 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

97 citing papers in PubMed, 3 syntheses or guidelines pooled it, 146 citations in OpenAlex.

  1. Pooled it
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  13. The role of extracellular vesicles in kidney disease progression.Kidney research and clinical practice · 2026
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37 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Rimpi KhuranaDivision of Genomics and RNomics, Biocenter, Medical University Innsbruck, 6020 Innsbruck, Austria.
Glory RanchesDivision of Genomics and RNomics, Biocenter, Medical University Innsbruck, 6020 Innsbruck, Austria.
Simon SchaffererDivision of Genomics and RNomics, Biocenter, Medical University Innsbruck, 6020 Innsbruck, Austria.
Melanie LukasserDivision of Genomics and RNomics, Biocenter, Medical University Innsbruck, 6020 Innsbruck, Austria.
Michael RudnickiDepartment of Internal Medicine IV, Nephrology and Hypertension, Medical University Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0002-7896-2600
Gert MayerDepartment of Internal Medicine IV, Nephrology and Hypertension, Medical University Innsbruck, 6020 Innsbruck, Austria.
Alexander HüttenhoferDivision of Genomics and RNomics, Biocenter, Medical University Innsbruck, 6020 Innsbruck, Austria.
Innsbruck Medical University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In chronic kidney disease (CKD), the decline in the glomerular filtration rate is associated with increased morbidity and mortality and thus poses a major challenge for healthcare systems. While the contribution of tissue-derived miRNAs and mRNAs to CKD progression has been extensively studied, little is known about the role of urinary exosomes and their association with CKD. Exosomes are small, membrane-derived endocytic vesicles that contribute to cell-to-cell communication and are present in various body fluids, such as blood or urine. Next-generation sequencing approaches have revealed that exosomes are enriched in noncoding RNAs and thus exhibit great potential for sensitive nucleic acid biomarkers in various human diseases. Therefore, in this study we aimed to identify urinary exosomal ncRNAs as novel biomarkers for diagnosis of CKD. Since up to now most approaches have focused on the class of miRNAs, we extended our analysis to several other noncoding RNA classes, such as tRNAs, tRNA fragments (tRFs), mitochondrial tRNAs, or lincRNAs. For their computational identification from RNA-seq data, we developed a novel computational pipeline, designated as ncRNASeqScan. By these analyses, in CKD patients we identified 30 differentially expressed ncRNAs, derived from urinary exosomes, as suitable biomarkers for early diagnosis. Thereby, miRNA-181a appeared as the most robust and stable potential biomarker, being significantly decreased by about 200-fold in exosomes of CKD patients compared to healthy controls. Using a cell culture system for CKD indicated that urinary exosomes might indeed originate from renal proximal tubular epithelial cells.

Indexed as

AdultAgedAged, 80 and overBiomarkersCase-Control StudiesEarly DiagnosisEpithelial CellsExosomesFemaleGlomerular Filtration RateHigh-Throughput Nucleotide SequencingHumansKidney Tubules, ProximalMaleMicroRNAsMiddle AgedBiomarkersMicroRNAsMIrn181 microRNA, humanRNARNA, Long NoncodingRNA, MitochondrialRNA, Transferchronic kidney diseaselincRNAsmiRNAsncRNAssequencingtRFstRNAsurinary exosomes

Identifiers

PMID27872161
PMCPMC5238789
OpenAlexW2555220648

What Socratic 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 Socratic graph.