Evidence map›Paper›PMID 28577337›Full record

ArticleScientific reports2017

Confounding factors of ultrafiltration and protein analysis in extracellular vesicle research.

Glenn Vergauwen, Bert Dhondt, Jan Van Deun, Eva De Smedt, Geert Berx, Evy Timmerman, Kris Gevaert, Ilkka Miinalainen, Véronique Cocquyt, Geert Braems and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 152 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
152citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

152 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Guideline
  5. Osmotic Remodeling of Extracellular Vesicles for Precision Nanomedicine.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Extracellular vesicles-associated AAVs for the treatment of Machado-Joseph disease.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
  18. Review
  19. Article
  20. Article

92 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

14 authors.

Glenn VergauwenLaboratory of Experimental Cancer Research, Department of Radiation Oncology and Experimental Cancer Research, Ghent University, Ghent, Belgium.
Bert DhondtLaboratory of Experimental Cancer Research, Department of Radiation Oncology and Experimental Cancer Research, Ghent University, Ghent, Belgium.
Jan Van DeunLaboratory of Experimental Cancer Research, Department of Radiation Oncology and Experimental Cancer Research, Ghent University, Ghent, Belgium.ORCID 0000-0003-1707-6266
Eva De SmedtMolecular and Cellular Oncology Lab, Department for Molecular Biomedical Research, Ghent, Belgium.
Geert BerxMolecular and Cellular Oncology Lab, Department for Molecular Biomedical Research, Ghent, Belgium.
Evy TimmermanVIB Medical Biotechnology Center, VIB, Ghent University, A. Baertsoenkaai 3, Ghent, Belgium.
Kris GevaertVIB Medical Biotechnology Center, VIB, Ghent University, A. Baertsoenkaai 3, Ghent, Belgium.
Ilkka MiinalainenBiocenter Oulu, Department of Pathology, Oulu University Hospital, University of Oulu, Oulu, Finland.
Véronique CocquytDepartment of Medical Oncology, Ghent University Hospital, Ghent, Belgium.
Geert BraemsDepartment of Gynaecology, Ghent University Hospital, Ghent, Belgium.
Rudy Van den BroeckeDepartment of Gynaecology, Ghent University Hospital, Ghent, Belgium.
Hannelore DenysDepartment of Medical Oncology, Ghent University Hospital, Ghent, Belgium.
Olivier De WeverLaboratory of Experimental Cancer Research, Department of Radiation Oncology and Experimental Cancer Research, Ghent University, Ghent, Belgium.
An HendrixLaboratory of Experimental Cancer Research, Department of Radiation Oncology and Experimental Cancer Research, Ghent University, Ghent, Belgium. an.hendrix@ugent.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification and validation of extracellular vesicle (EV)-associated biomarkers requires robust isolation and characterization protocols. We assessed the impact of some commonly implemented pre-analytical, analytical and post-analytical variables in EV research. Centrifugal filters with different membrane types and pore sizes are used to reduce large volume biofluids prior to EV isolation or to concentrate EVs. We compared five commonly reported filters for their efficiency when using plasma, urine and EV-spiked PBS. Regenerated cellulose membranes with pore size of 10 kDa recovered EVs the most efficient. Less than 40% recovery was achieved with other filters. Next, we analyzed the effect of the type of protein assays to measure EV protein in colorimetric and fluorometric kits. The fluorometric assay Qubit measured low concentration EV and BSA samples the most accurately with the lowest variation among technical and biological replicates. Lastly, we quantified Optiprep remnants in EV samples from density gradient ultracentrifugation and demonstrate that size-exclusion chromatography efficiently removes Optiprep from EVs. In conclusion, choice of centrifugal filters and protein assays confound EV analysis and should be carefully considered to increase efficiency towards biomarker discovery. SEC-based removal of Optiprep remnants from EVs can be considered for downstream applications.

Indexed as

UltrafiltrationBody FluidsChromatography, GelCulture Media, ConditionedExtracellular VesiclesHumansMCF-7 CellsNanoparticlesProteinsResearchCulture Media, ConditionedProteins

Identifiers

PMID28577337
PMCPMC5457435

What OpenQuestion holds

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LicenceCC BY
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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.