Evidence map›Paper›PMID 36135891›Full record

ArticleMembranes2022

Targeting the Structural Integrity of Extracellular Vesicles via Nano Electrospray Gas-Phase Electrophoretic Mobility Molecular Analysis (nES GEMMA).

Stephanie Steinberger, Sobha Karuthedom George, Lucia Lauková, René Weiss, Carla Tripisciano, Martina Marchetti-Deschmann, Viktoria Weber, Günter Allmaier, Victor U Weiss

Abstract read
In one paragraph

Article in Membranes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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

9 authors.

Stephanie SteinbergerInstitute of Chemical Technologies and Analytics, TU Wien, 1060 Vienna, Austria.ORCID 0000-0003-0375-5217
Sobha Karuthedom GeorgeCenter for Biomedical Technology, Department for Biomedical Research, University for Continuing Education Krems, 3500 Krems, Austria.
Lucia LaukováCenter for Biomedical Technology, Department for Biomedical Research, University for Continuing Education Krems, 3500 Krems, Austria.
René WeissCenter for Biomedical Technology, Department for Biomedical Research, University for Continuing Education Krems, 3500 Krems, Austria.
Carla TripiscianoCenter for Biomedical Technology, Department for Biomedical Research, University for Continuing Education Krems, 3500 Krems, Austria.
Martina Marchetti-DeschmannInstitute of Chemical Technologies and Analytics, TU Wien, 1060 Vienna, Austria.ORCID 0000-0002-8060-7851
Viktoria WeberCenter for Biomedical Technology, Department for Biomedical Research, University for Continuing Education Krems, 3500 Krems, Austria.ORCID 0000-0002-3963-9077
Günter AllmaierInstitute of Chemical Technologies and Analytics, TU Wien, 1060 Vienna, Austria.
Victor U WeissInstitute of Chemical Technologies and Analytics, TU Wien, 1060 Vienna, Austria.ORCID 0000-0002-0056-6819

Funding

Niederösterreich Forschungs und Bildungsges.m.b.H (NFB) LSC16-018TU Wien Bibliothek Open Access Funding programme
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are in the scientific spotlight due to their potential application in the medical field, ranging from medical diagnosis to therapy. These applications rely on EV stability during isolation and purification-ideally, these steps should not impact vesicle integrity. In this context, we investigated EV stability and particle numbers via nano electrospray gas-phase electrophoretic mobility molecular analysis (nES GEMMA) and nanoparticle tracking analysis (NTA). In nES GEMMA, native, surface-dry analytes are separated in the gas-phase according to the particle size. Besides information on size and particle heterogeneity, particle number concentrations are obtained in accordance with recommendations of the European Commission for nanoparticle characterization (2011/696/EU, 18 October 2011). Likewise, and in contrast to NTA, nES GEMMA enables detection of co-purified proteins. On the other hand, NTA, yielding data on hydrodynamic size distributions, is able to relate particle concentrations, omitting electrolyte exchange (and resulting EV loss), which is prerequisite for nES GEMMA. Focusing on EVs of different origin, we compared vesicles concentrations and stability, especially after electrolyte exchange and size exclusion chromatography (SEC). Co-isolated proteins were detected in most samples, and the vesicle amount varied in dependence on the EV source. We found that depletion of co-purified proteins was achievable via SEC, but was associated with a loss of EVs and-most importantly-with decreased vesicle stability, as detected via a reduced nES GEMMA measurement repeatability. Ultimately, we propose the repeatability of nES GEMMA to yield information on EV stability, and, as a result, we propose that nES GEMMA can yield additional valuable information in EV research.

Indexed as

exosomesextracellular vesiclesgas-phase electrophoresisnES DMAnES GEMMANTA

Identifiers

PMID36135891
PMCPMC9501092

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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 OpenQuestion graph.