Evidence map›Paper›PMID 36785873›Full record

ArticleJournal of extracellular vesicles2023

An in vitro approach to understand contribution of kidney cells to human urinary extracellular vesicles.

Karina Barreiro, Abigail C Lay, German Leparc, Van Du T Tran, Marcel Rosler, Lusyan Dayalan, Frederic Burdet, Mark Ibberson, Richard J M Coward, Tobias B Huber and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of extracellular vesicles, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 32 citations in OpenAlex.

  1. Trial
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  6. miRNA in the Progression of Diabetic Kidney Disease: New Insight.International journal of molecular sciences · 2025
    Review
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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 6 institutions in 4 countries.

Karina BarreiroInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.ORCID 0000-0003-0969-7513
Abigail C LayBristol Renal, Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, UK.ORCID 0000-0001-5923-634X
German LeparcBoehringer Ingelheim Pharma GmbH & Co. KG Biberach, Biberach, Germany.
Van Du T TranVital-IT Group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Marcel RoslerBoehringer Ingelheim Pharma GmbH & Co. KG Biberach, Biberach, Germany.
Lusyan DayalanBristol Renal, Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, UK.
Frederic BurdetVital-IT Group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Mark IbbersonVital-IT Group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Richard J M CowardBristol Renal, Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, UK.
Tobias B HuberIII Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Bernhard K KrämerFifth Department of Medicine (Nephrology/Endocrinology/Rheumatology/Pneumology), University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany.
Denis DelicBoehringer Ingelheim Pharma GmbH & Co. KG Biberach, Biberach, Germany.
Harry HolthoferInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
At Bristol · GBBoehringer Ingelheim (Germany) · DESIB Swiss Institute of Bioinformatics · CHUniversity of Helsinki · FIHeidelberg University · DEUniversität Hamburg · DE

Funding

Medical Research Council G0501901Medical Research Council G0800200Medical Research Council MR/K010492/1Medical Research Council MR/T002263/1Medical Research Council MR/W019582/1
6 · The paper itself

Abstract

Extracellular vesicles (EV) are membranous particles secreted by all cells and found in body fluids. Established EV contents include a variety of RNA species, proteins, lipids and metabolites that are considered to reflect the physiological status of their parental cells. However, to date, little is known about cell-type enriched EV cargo in complex EV mixtures, especially in urine. To test whether EV secretion from distinct human kidney cells in culture differ and can recapitulate findings in normal urine, we comprehensively analysed EV components, (particularly miRNAs, long RNAs and protein) from conditionally immortalised human kidney cell lines (podocyte, glomerular endothelial, mesangial and proximal tubular cells) and compared to EV secreted in human urine. EV from cell culture media derived from immortalised kidney cells were isolated by hydrostatic filtration dialysis (HFD) and characterised by electron microscopy (EM), nanoparticle tracking analysis (NTA) and Western blotting (WB). RNA was isolated from EV and subjected to miRNA and RNA sequencing and proteins were profiled by tandem mass tag proteomics. Representative sets of EV miRNAs, RNAs and proteins were detected in each cell type and compared to human urinary EV isolates (uEV), EV cargo database, kidney biopsy bulk RNA sequencing and proteomics, and single-cell transcriptomics. This revealed that a high proportion of the in vitro EV signatures were also found in in vivo datasets. Thus, highlighting the robustness of our in vitro model and showing that this approach enables the dissection of cell type specific EV cargo in biofluids and the potential identification of cell-type specific EV biomarkers of kidney disease.

Indexed as

Extracellular VesiclesMicroRNAsEpithelial CellsHumansKidneyMicroscopy, ElectronMicroRNAsexosomesextracellular vesiclesglomerular endothelial cellskidneymesangial cellsmiRNApodocytesproteomicsproximal tubule cellsRNA

Identifiers

PMID36785873
PMCPMC9925963
OpenAlexW4320709390

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.