Evidence map›Paper›PMID 38938772›Full record

ArticleJournal of extracellular biology2022

Characterising extracellular vesicles from individual low volume cerebrospinal fluid samples, isolated by SmartSEC.

Yael Hirschberg, Kurt Boonen, Karin Schildermans, Annemieke van Dam, Isabel Pintelon, Charysse Vandendriessche, Milica Velimirovic, An Jacobs, Roosmarijn E Vandenbroucke, Inge Nelissen and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of extracellular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Improvement of small extracellular vesicle isolation from mouse model blood.Extracellular vesicles and circulating nucleic acids · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Yael HirschbergHealth Unit Flemish Institute for Technological Research (VITO) Mol Belgium.
Kurt BoonenHealth Unit Flemish Institute for Technological Research (VITO) Mol Belgium.
Karin SchildermansHealth Unit Flemish Institute for Technological Research (VITO) Mol Belgium.
Annemieke van DamBiomedical Engineering and Physics Amsterdam UMC Amsterdam The Netherlands.
Isabel PintelonDepartment of Veterinary Sciences University of Antwerp Antwerp Belgium.
Charysse VandendriesscheVIB Center for Inflammation Research VIB Ghent Belgium.
Milica VelimirovicDepartment of Chemistry Atomic & Mass Spectrometry Ghent University Ghent Belgium.
An JacobsHealth Unit Flemish Institute for Technological Research (VITO) Mol Belgium.
Roosmarijn E VandenbrouckeVIB Center for Inflammation Research VIB Ghent Belgium.
Inge NelissenHealth Unit Flemish Institute for Technological Research (VITO) Mol Belgium.
Yannick VermeirenFaculty of Medicine & Health Sciences Translational Neurosciences University of Antwerp Antwerp Belgium.
Inge MertensHealth Unit Flemish Institute for Technological Research (VITO) Mol Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are suggested to have a role in the progression of neurodegeneration, and are able to transmit pathological proteins from one cell to another. One of the biofluids from which EVs can be isolated is cerebrospinal fluid (CSF). However, so far, few studies have been performed on small volumes of CSF. Since pooling of patient samples possibly leads to the loss of essential individual patient information, and CSF samples are precious, it is important to have efficient techniques for the isolation of EVs from smaller volumes. In this study, the SmartSEC HT isolation kit from System Biosciences has been evaluated for this purpose. The SmartSEC HT isolation kit was used for isolation of EVs from 500 μL starting volumes of CSF, resulting in two possible EV fractions of 500 μL. Both fractions were characterised and compared to one another using a whole range of characterisation techniques. Results indicated the presence of EVs in both fractions, albeit fraction 1 showed more reproducible results over the different characterisation methods. For example, CMG (CellMask Green membrane stain) fluorescence nanotracking analysis (NTA), ExoView, and the particles/μg ratio demonstrated a clear difference between fraction 1 and 2, where fraction 1 came out as the one where most EVs were eluted with the least contamination. In the other methods, this difference was less noticeable. We successfully performed complementary characterisation tests using only 500 μL of CSF starting volume, and, conclude that fraction 1 consisted of sufficiently pure EVs for further biomarker studies. This means that future EV extractions may be based upon smaller CSF quantities, such as from individual patients. In that way, patient samples do not have to be pooled and individual patient information can be included in forthcoming studies, potentially linking EV content, size and distribution to individualised neurological diagnoses.

Indexed as

cerebrospinal fluidextracellular vesicleslow sample volumesize exclusion chromatography

Identifiers

PMID38938772
PMCPMC11080878

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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 OpenQuestion graph.