Evidence map›Paper›PMID 42841058›Full record

ArticleFood chemistry. Molecular sciences2026

A fraction of diet-derived microRNAs present in plant extracellular vesicles remain detectable after gastrointestinal digestion and shows epithelial uptake in a CaCo-2 cell model.

Miguel Cifuentes-Acebal, Adria Vilalta, Ximena Terra, Yvan Devaux, Torsten Bohn

Abstract read
In one paragraph

Article in Food chemistry. Molecular sciences, 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

5 authors.

Miguel Cifuentes-AcebalNutrition and Health Research Group, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Adria VilaltaUniversitat Rovira I Virgili, Dept. Bioquímica I Biotecnologia, MobioFood Research Group, Tarragona, Spain.
Ximena TerraUniversitat Rovira I Virgili, Dept. Bioquímica I Biotecnologia, MobioFood Research Group, Tarragona, Spain.
Yvan DevauxCardiovascular Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Torsten BohnNutrition and Health Research Group, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diet constitutes a source of exogenous miRNAs that are detectable in humans. Source, stability to digestion, and cellular uptake of diet-derived miRNAs are debated topics. Here, we studied the stability of cauliflower miRNAs to cooking (100 °C, 20 min) and gastrointestinal digestion (static INFOGEST 2.0), their possible cellular uptake/secretion by CaCo-2 cells, and the role of plant extracellular vesicles (PEVs). miRNAs were assessed by qPCR. The role of PEVs was evaluated via dynamic light scattering, electron microscopy, and immunoblotting. Most RNA was degraded after digestion (99.1%). However, a fraction of miRNAs in PEVs (bol-miR172a, bol-miR156a, bol-miR164b, bol-miR1030i) remained detectable (0.05-0.24%). PEVs were also detected after digestion, which caused aggregation and decreased particle numbers. Finally, nano-encapsulation, concentration and exposure time appeared associated with miRNA uptake (40-fold compared with control). Data for secretion was inconclusive. Overall, we showed that a small fraction of miRNAs associated with PEVs remained detectable following digestion.

Indexed as

BioaccesibilityBioavailabilityExosomesFood-bioactivesGutPELNXenomiR

Identifiers

PMID42841058
PMCPMC13641049

What OpenQuestion 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 OpenQuestion graph.