Evidence map›Paper›PMID 37489102›Full record

ArticleJournal of extracellular vesicles2023

Label-free discrimination of extracellular vesicles from large lipoproteins.

Anna D Kashkanova, Martin Blessing, Marie Reischke, Jan-Ole Baur, Andreas S Baur, Vahid Sandoghdar, Jan Van Deun

Abstract 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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  5. Observational
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  7. Review
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  9. Article
  10. Label-Free Anti-Brownian Trapping of Single Nanoparticles in Solution.The journal of physical chemistry. C, Nanomaterials and interfaces · 2024
    Article
  11. Article
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  16. 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

7 authors.

Anna D KashkanovaMax Planck Institute for the Science of Light, Erlangen, Germany.
Martin BlessingMax Planck Institute for the Science of Light, Erlangen, Germany.
Marie ReischkeMax Planck Institute for the Science of Light, Erlangen, Germany.
Jan-Ole BaurDepartment of Dermatology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Andreas S BaurDepartment of Dermatology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Vahid SandoghdarMax Planck Institute for the Science of Light, Erlangen, Germany.
Jan Van DeunDepartment of Dermatology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are increasingly gaining interest as biomarkers and therapeutics. Accurate sizing and quantification of EVs remain problematic, given their nanometre size range and small scattering cross-sections. This is compounded by the fact that common EV isolation methods result in co-isolation of particles with comparable features. Especially in blood plasma, similarly-sized lipoproteins outnumber EVs to a great extent. Recently, interferometric nanoparticle tracking analysis (iNTA) was introduced as a particle analysis method that enables determining the size and refractive index of nanoparticles with high sensitivity and precision. In this work, we apply iNTA to differentiate between EVs and lipoproteins, and compare its performance to conventional nanoparticle tracking analysis (NTA). We show that iNTA can accurately quantify EVs in artificial EV-lipoprotein mixtures and in plasma-derived EV samples of varying complexity. Conventional NTA could not report on EV numbers, as it was not able to distinguish EVs from lipoproteins. iNTA has the potential to become a new standard for label-free EV characterization in suspension.

Indexed as

Extracellular VesiclesNanoparticlesBiomarkersLipoproteinsPlasmaBiomarkersLipoproteinsconcentrationextracellular vesiclesinterferometric scatteringlipoproteinsplasmarefractive indexsize

Identifiers

PMID37489102
PMCPMC10366660

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.