Evidence map›Paper›PMID 40189777›Full record

ArticleElectrophoresis2025

Enhanced Separation of Extracellular Vesicles Using Capillary Isotachophoresis With Spacer Compounds.

Milan Pieter Paul de Putter, Andrea Capuano, Meia Numan, Thomas Hankemeier, Yuliya Shakalisava

Abstract read
In one paragraph

Article in Electrophoresis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Milan Pieter Paul de PutterMetabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands.
Andrea CapuanoEXIT071 B.V., Leiden, the Netherlands.ORCID 0000-0003-2266-7968
Meia NumanEXIT071 B.V., Leiden, the Netherlands.
Thomas HankemeierMetabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands.ORCID 0000-0001-7871-2073
Yuliya ShakalisavaEXIT071 B.V., Leiden, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are pivotal in numerous physiological and pathological processes, such as immune responses, viral pathogenesis, pregnancy, cardiovascular diseases, and cancer progression. Their capacity to influence complex intracellular pathways highlights their therapeutic potential in addressing various conditions, including neurodegenerative diseases and cancer. A novel capillary isotachophoresis (cITP) method was developed for the electrokinetic characterization of pre-isolated EVs. Distinct peaks could be resolved at near-baseline resolution using a novel mixture of spacer ions and laser-induced fluorescence (LIF) detection. The vesicles were effectively separated from the unbound carboxyfluorescein diacetate succinimidyl ester (CFDA-SE) amine-reactive fluorescent stain used to detect them and from residual contaminants. The identity of the peaks shown in the electropherograms was validated via various methods, including incubation with specific antibodies or spiking of putative contaminants, such as proteins and lipoproteins. This report thus provides a detailed proof-of-concept for using cITP-LIF for extracellular vesicle isolation, subtype fractionation, and profiling.

Indexed as

Extracellular VesiclesIsotachophoresisElectrophoresis, CapillaryFluoresceinsFluorescent DyesHumansSuccinimides5-(6)-carboxyfluorescein diacetate succinimidyl esterFluoresceinsFluorescent DyesSuccinimidescapillary isotachophoresiselectrokineticextracellular vesiclesprofilingseparation

Identifiers

PMID40189777
PMCPMC12273895

What OpenQuestion 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 OpenQuestion graph.