Evidence map›Paper›PMID 38898416›Full record

ArticleBiological procedures online2024

Comparing the Proteomic Profiles of Extracellular Vesicles Isolated using Different Methods from Long-term Stored Plasma Samples.

Ana Torres, Lorena Bernardo, Carmen Sánchez, Esperanza Morato, Jose Carlos Solana, Eugenia Carrillo

Abstract read
In one paragraph

Article in Biological procedures online, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Extracellular vesicles: Navigating new frontiers in glioblastoma therapy.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Protein dysregulation duringFrontiers in immunology · 2025
    Article
  8. Article
  9. Review
  10. Review
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

6 authors.

Ana TorresWHO Collaborating Centre for Leishmaniasis, Spanish National Centre for Microbiology, Instituto de Salud Carlos III, Majadahonda, Spain.
Lorena BernardoWHO Collaborating Centre for Leishmaniasis, Spanish National Centre for Microbiology, Instituto de Salud Carlos III, Majadahonda, Spain.
Carmen SánchezWHO Collaborating Centre for Leishmaniasis, Spanish National Centre for Microbiology, Instituto de Salud Carlos III, Majadahonda, Spain.
Esperanza MoratoProteomics Facility, Centro de Biología Molecular Severo Ochoa, Consejo Superior de Investigaciones Científicas, Universidad Autónoma de Madrid, Madrid, Spain.
Jose Carlos SolanaWHO Collaborating Centre for Leishmaniasis, Spanish National Centre for Microbiology, Instituto de Salud Carlos III, Majadahonda, Spain. jc.solana@externos.isciii.es.
Eugenia CarrilloWHO Collaborating Centre for Leishmaniasis, Spanish National Centre for Microbiology, Instituto de Salud Carlos III, Majadahonda, Spain.

Funding

Centro de Investigación Biomédica en Red de Enfermedades Infecciosas CB21/13/00018Instituto de Salud Carlos III ISCIII-AES project (PI18CIII/00029)
6 · The paper itself

Abstract

backgroundThe lack of standardized protocols for isolating extracellular vesicles (EVs), especially from biobank-stored blood plasma, translates to limitations for the study of new biomarkers. This study examines whether a combination of current isolation methods could enhance the specificity and purity of isolated EVs for diagnosis and personalized medicine purposes.

resultsEVs were isolated from healthy human plasma stored for one year by ultracentrifugation (UC), size exclusion chromatography (SEC), or SEC and UC combined (SEC + UC). The EV isolates were then characterized by transmission electron microscopy imaging, nanoparticle tracking analysis (NTA) and western blotting. Proteomic procedures were used to analyze protein contents. The presence of EV markers in all isolates was confirmed by western blotting yet this analysis revealed higher albumin expression in EVs-UC, suggesting plasma protein contamination. Proteomic analysis identified 542 proteins, SEC + UC yielding the most complex proteome at 364 proteins. Through gene ontology enrichment, we observed differences in the cellular components of EVs and plasma in that SEC + UC isolates featured higher proportions of EV proteins than those derived from the other two methods. Analysis of proteins unique to each isolation method served to identify 181 unique proteins for the combined approach, including those normally appearing in low concentrations in plasma. This indicates that with this combined method, it is possible to detect less abundant plasma proteins by proteomics in the resultant isolates.

conclusionsOur findings reveal that the SEC + UC approach yields highly pure and diverse EVs suitable for comprehensive proteomic analysis with applications for the detection of new biomarkers in biobank-stored plasma samples.

Indexed as

Extracellular VesiclesPlasmaProteomicsSize Exclusion ChromatographyUltracentrifugation

Identifiers

PMID38898416
PMCPMC11188224

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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.