Evidence map›Paper›PMID 41422161›Full record

SynthesisPediatric research2025

Extracellular vesicle microRNAs in breastmilk of mothers with overweight and obesity: a systematic review.

Anastasia Ivashkova, Victoria Ivashkova, Luling Lin, Mark H Vickers, Mariana Muelbert, Benjamin B Albert, Farha Ramzan

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Pediatric research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Anastasia Ivashkova *Liggins Institute, The University of Auckland, Auckland, New Zealand.
Victoria Ivashkova *Liggins Institute, The University of Auckland, Auckland, New Zealand.
Luling LinLiggins Institute, The University of Auckland, Auckland, New Zealand.
Mark H VickersLiggins Institute, The University of Auckland, Auckland, New Zealand.
Mariana MuelbertLiggins Institute, The University of Auckland, Auckland, New Zealand.
Benjamin B AlbertLiggins Institute, The University of Auckland, Auckland, New Zealand.
Farha RamzanLiggins Institute, The University of Auckland, Auckland, New Zealand. f.ramzan@auckland.ac.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breastmilk (BM) is the optimal nutrition source that supports both short- and long-term health in the growing infant. Breastfeeding also has direct implications for maternal health, with breastfeeding mothers shown to have reduced risk of developing certain diseases including diabetes, some cancers and protection from postpartum depression. BM contains numerous biologically active substances, with milk-borne microRNAs (miRNAs) reported to be associated with a range of physiological processes and health outcomes. BM is an abundant source of miRNAs that present as either free molecules or packaged inside extracellular vesicles (EVs). EVs are lipid-bound vesicles that transport bioactive molecules to recipient cells. miRNAs enclosed in EVs (EV-miRNAs) can survive the digestive environment of an infant's gut and enter the bloodstream, whereby they travel to distant organs and regulate their function. This systematic review provides an overview of EV-miRNAs that have been characterised in the BM of mothers who are overweight or obese, and the associations between these miRNAs and maternal and infant health outcomes in this specific population group. IMPACT: This systematic review provides an overview of extracellular vesicle (EV)-miRNAs that have been characterised in the breastmilk of mothers with overweight and obesity and the associations between these microRNAs with maternal and infant health outcomes. Breastmilk EV research is emerging, with limited number of studies, particularly in mothers with overweight and obesity, making it difficult to fully understand how maternal metabolic status influences EV-miRNAs and its potential effects on infant health. The lack of standardised protocols to isolate and analyse EV-miRNAs and maternal and infant outcome measures reported in clinical studies makes data synthesis challenging, thus preventing conclusive results.

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.