Evidence map›Paper›PMID 33437407›Full record

ArticleJournal of extracellular vesicles2020

Comparison of urinary extracellular vesicle isolation methods for transcriptomic biomarker research in diabetic kidney disease.

Karina Barreiro, Om Prakash Dwivedi, German Leparc, Marcel Rolser, Denis Delic, Carol Forsblom, Per-Henrik Groop, Leif Groop, Tobias B Huber, Maija Puhka and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of extracellular vesicles, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

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  20. Uromodulin and the study of urinary extracellular vesicles.Journal of extracellular biology · 2024
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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

11 authors at 6 institutions in 3 countries.

Karina BarreiroInstitute for Molecular Medicine Finland FIMM University of Helsinki Helsinki Finland.
Om Prakash DwivediInstitute for Molecular Medicine Finland FIMM University of Helsinki Helsinki Finland.
German LeparcBoehringer Ingelheim Pharma GmbH & Co. KG Biberach Germany.
Marcel RolserBoehringer Ingelheim Pharma GmbH & Co. KG Biberach Germany.
Denis DelicBoehringer Ingelheim Pharma GmbH & Co. KG Biberach Germany.
Carol ForsblomFolkhälsan Institute of Genetics Folkhälsan Research Center Helsinki Finland.
Per-Henrik GroopFolkhälsan Institute of Genetics Folkhälsan Research Center Helsinki Finland.
Leif GroopInstitute for Molecular Medicine Finland FIMM University of Helsinki Helsinki Finland.
Tobias B HuberIII Department of Medicine University Medical Center Hamburg-Eppendorf Hamburg Germany.
Maija PuhkaInstitute for Molecular Medicine Finland FIMM University of Helsinki Helsinki Finland.
Harry HolthoferInstitute for Molecular Medicine Finland FIMM University of Helsinki Helsinki Finland.
University of Helsinki · FIBoehringer Ingelheim (Germany) · DEHelsinki University Hospital · FIUniversität Hamburg · DEHeidelberg University · DEInstitute for Molecular Medicine Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary Extracellular Vesicles (uEV) have emerged as a source for biomarkers of kidney damage, holding potential to replace the conventional invasive techniques including kidney biopsy. However, comprehensive studies characterizing uEV isolation methods with patient samples are rare. Here we compared performance of three established uEV isolation workflows for their subsequent use in transcriptomics analysis for biomarker discovery in diabetic kidney disease. We collected urine samples from individuals with type 1 diabetes with macroalbuminuria and healthy controls. We isolated uEV by Hydrostatic Filtration Dialysis (HFD), ultracentrifugation (UC), and a commercial kit- based isolation method (NG), each with different established urine clearing steps. Purified EVs were analysed by electron microscopy, nanoparticle tracking analysis, and Western blotting. Isolated RNAs were subjected to miRNA and RNA sequencing. HFD and UC samples showed close similarities based on mRNA sequencing data. NG samples had a lower number of reads and different mRNA content compared to HFD or UC. For miRNA sequencing data, satisfactory miRNA counts were obtained by all methods, but miRNA contents differed slightly. This suggests that the isolation workflows enrich specific subpopulations of miRNA-rich uEV preparation components. Our data shows that HFD,UC and the kit-based method are suitable methods to isolate uEV for miRNA-seq. However, only HFD and UC were suitable for mRNA-seq in our settings.

Indexed as

Gene Expression RegulationTranscriptomeAdultAgedBiomarkersCase-Control StudiesDiabetes Mellitus, Type 1Diabetic NephropathiesExtracellular VesiclesFemaleFollow-Up StudiesHumansMaleMicroRNAsMiddle AgedPrognosisBiomarkersMicroRNAsdiabetic kidney diseaseexosomesextracellular vesiclesisolationmiRNA sequencingmRNA sequencingurinary extracellular vesicles

Identifiers

PMID33437407
PMCPMC7789228
OpenAlexW3120007791

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.