Evidence map›Paper›PMID 42003811›Full record

ArticleElectrophoresis2026

Production and Purification of Mesenchymal Stem Cell-Derived Extracellular Vesicles Using Preferential Exclusion Chromatography.

Katja Vrabec, Andrej Raspor, Darja Božič, Nastja Bizjak Ternik, Ana Železnik, Valentina Novak, Ivana Petrović Koshmak, Maja Leskovec, Aleš Štrancar

Abstract read
In one paragraph

Article in Electrophoresis, 2026. 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

9 authors.

Katja VrabecSartorius BIA Separations, Ajdovščina, Slovenia.
Andrej RasporSartorius BIA Separations, Ajdovščina, Slovenia.
Darja BožičSartorius BIA Separations, Ajdovščina, Slovenia.
Nastja Bizjak TernikSartorius BIA Separations, Ajdovščina, Slovenia.
Ana ŽeleznikSartorius BIA Separations, Ajdovščina, Slovenia.
Valentina NovakSartorius BIA Separations, Ajdovščina, Slovenia.
Ivana Petrović KoshmakSartorius BIA Separations, Ajdovščina, Slovenia.
Maja LeskovecSartorius BIA Separations, Ajdovščina, Slovenia.
Aleš ŠtrancarSartorius BIA Separations, Ajdovščina, Slovenia.

Funding

Sartorius BIA Separations
6 · The paper itself

Abstract

Mesenchymal stem cell-derived extracellular vesicles (MSC-EVs) therapeutics hold the potential to harness the regenerative power of their parental cells, promoting proliferation and reducing inflammation. There is a need for the production and isolation process that can be easily scaled and deliver the desired quality and quantity of EVs. We present a chromatographic method development based on preferential exclusion principle that can be used for EV isolation from adherent and microcarrier-based upstream. The method employs monolithic hydroxyl columns to purify and concentrate MSC-EVs. The heterogeneity in EV size and composition poses challenges in upstream and downstream processes; therefore, process development was guided by PATfix biochromatography analytics, tracking EV-specific surface antigens. The developed purification method enables direct concentration of MSC-EVs from conditioned media while removing 97% of protein impurities and 95% of double-stranded deoxyribonucleic acid (dsDNA)-related impurities in the process.

Indexed as

Chromatography, AffinityChromatography, GelExtracellular VesiclesMesenchymal Stem CellsHumansextracellular vesiclesmicrocarrier‐based upstreammonolith chromatographyPATfix biochromatography systempreferential exclusion chromatography

Identifiers

PMID42003811
PMCPMC13273340

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.