Evidence map›Paper›PMID 41078593›Full record

ArticleJournal of extracellular biology2025

Characterization of Extracellular Vesicles From Fresh vs. Frozen Human Milk Including the Vesicular microRNA Cargo.

Emelie Ahlberg, Ahmed Al-Kaabawi, Maria Eldh, Susanne Gabrielsson, Maria C Jenmalm, Lina Tingö

Abstract read
In one paragraph

Article in Journal of extracellular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
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  5. Review
  6. 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

6 authors.

Emelie AhlbergDepartment of Biomedical and Clinical Sciences, Division of Inflammation and Infection Linköping University Linköping Sweden.ORCID https://orcid.org/0000-0002-7119-6114
Ahmed Al-KaabawiDepartment of Biomedical and Clinical Sciences, Division of Inflammation and Infection Linköping University Linköping Sweden.ORCID https://orcid.org/0009-0003-9892-6548
Maria EldhDepartment of Medicine Solna, Division of Immunology and Respiratory Medicine Karolinska Institute Stockholm Sweden.ORCID https://orcid.org/0000-0003-2173-1796
Susanne GabrielssonDepartment of Medicine Solna, Division of Immunology and Respiratory Medicine Karolinska Institute Stockholm Sweden.ORCID https://orcid.org/0000-0003-1771-1346
Maria C JenmalmDepartment of Biomedical and Clinical Sciences, Division of Inflammation and Infection Linköping University Linköping Sweden.ORCID https://orcid.org/0000-0002-2117-5366
Lina TingöDepartment of Biomedical and Clinical Sciences, Division of Inflammation and Infection Linköping University Linköping Sweden.ORCID https://orcid.org/0000-0002-2482-9281

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human milk is rich in extracellular vesicles (EV) that may contribute to shaping neonatal immunity. Here, we evaluated whether freezing, and the addition of sodium citrate (SC), affect the characteristics of human milk EVs and their miRNAs. Freezing may compromise the milk EV population and their miRNA profile by creating artificial vesicles due to cell lysis. Furthermore, SC can be added to clear the EV fraction of micelles, that is, protein aggregates that co-isolate with milk EVs, and may affect certain downstream analyses. To investigate potential differences between milk EV and their miRNA cargo when isolated from fresh and frozen samples, mature milk samples were collected from 10 women and subjected to four different treatments: fresh and frozen; fresh

Indexed as

characterizationexosomesextracellular vesiclesfreezinghuman milkmicroRNAsodium citratestorage condition

Identifiers

PMID41078593
PMCPMC12508264

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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.