Evidence mapPaperPMID 33288809Full record

ArticleScientific reports2020

Enrichment of plasma extracellular vesicles for reliable quantification of their size and concentration for biomarker discovery.

Marija Holcar, Jana Ferdin, Simona Sitar, Magda Tušek-Žnidarič, Vita Dolžan, Ana Plemenitaš, Ema Žagar, Metka Lenassi

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
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

43 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Review
  6. Article
  7. Does extracellular vesicle specificity truly exist?Cell communication and signaling : CCS · 2026
    Review
  8. Extracellular RNAs as Messengers and Early Biomarkers in Neurodegeneration.International journal of molecular sciences · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Blood-derived APLP1Science advances · 2025
    Article
  19. Article
  20. Review
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

8 authors.

Marija HolcarInstitute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Jana FerdinInstitute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Simona SitarDepartment of Polymer Chemistry and Technology, National Institute of Chemistry, Ljubljana, Slovenia.
Magda Tušek-ŽnidaričDepartment of Biotechnology and System Biology, National Institute of Biology, Ljubljana, Slovenia.
Vita DolžanInstitute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Ana PlemenitašInstitute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Ema ŽagarDepartment of Polymer Chemistry and Technology, National Institute of Chemistry, Ljubljana, Slovenia.
Metka LenassiInstitute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia. metka.lenassi@mf.uni-lj.si.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human plasma is a complex fluid, increasingly used for extracellular vesicle (EV) biomarker studies. Our aim was to find a simple EV-enrichment method for reliable quantification of EVs in plasma to be used as biomarker of disease. Plasma of ten healthy subjects was processed using sedimentation rate- (sucrose cushion ultracentrifugation-sUC) and size- (size exclusion chromatography-SEC) based methods. According to nanoparticle tracking analysis (NTA), asymmetrical flow field-flow fractionation coupled to detectors (AF4-UV-MALS), miRNA quantification, transmission electron microscopy and enzyme-linked immunosorbent assay, enrichment of EVs from plasma with sUC method lead to high purity of EVs in the samples. High nanoparticle concentrations after SEC resulted from substantial contamination with lipoproteins and other aggregates of EV-like sizes that importantly affect downstream EV quantification. Additionally, sUC EV-enrichment method linked to quantification with NTA or AF4-UV-MALS is repeatable, as the relative standard deviation of EV size measured in independently processed samples from the same plasma source was 5.4% and 2.1% when analyzed by NTA or AF4-UV-MALS, respectively. In conclusion, the sUC EV-enrichment method is compatible with reliable measurement of concentration and size of EVs from plasma and should in the future be tested on larger cohorts in relation to different diseases. This is one of the first studies using AF4-UV-MALS to quantify EVs in blood plasma, which opens new possible clinical utility for the technique.

Indexed as

BiomarkersChromatography, GelExtracellular VesiclesFemaleFractionation, Field FlowHumansMaleMiddle AgedNanoparticlesPlasmaProteomicsBiomarkers

Identifiers

PMID33288809
PMCPMC7721811

What Socratic holds

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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 Socratic graph.