Evidence map›Paper›PMID 37468505›Full record

ArticleScientific data2023

Comparison of goat and cow milk-derived extracellular vesicle miRNomes.

Zuzana Krupova, Christine Leroux, Christine Péchoux, Claudia Bevilacqua, Patrice Martin

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

15 citing papers in PubMed, 17 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Zuzana KrupovaUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, F-78350, Jouy-en-Josas, France.
Christine LerouxUniversité Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122, Saint-Genès-Champanelle, France. cleroux@ucdavis.edu.ORCID 0000-0001-6835-3978
Christine PéchouxUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, F-78350, Jouy-en-Josas, France.
Claudia BevilacquaUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, F-78350, Jouy-en-Josas, France.ORCID 0000-0003-0423-4624
Patrice MartinUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, F-78350, Jouy-en-Josas, France.ORCID 0000-0002-8296-7404
AgroParisTech · FRUniversité Clermont Auvergne · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

miRNAs present in milk are mainly found in extracellular vesicles (EVs), which are nanosized membrane vesicles released by most of the cell types to ensure intercellular communication. The majority of the studies performed so far on these vesicles have been conducted on human and cow's milk and focused on their miRNA content. The objectives of this study were to profile the miRNA content of purified EVs from five healthy goats and to compare their miRNome to those obtained from five healthy cows, at an early stage of lactation. EV populations were morphologically characterized using Transmission Electron Microscopy and Nanoparticle Tracking Analysis. The presence of EV protein markers checked by Western blotting and the absence of contamination of preparations by milk proteins. The size distribution and concentration of bovine and goat milk-derived EVs were similar. RNA-sequencing were performed, and all sequences were mapped to the cow genome identifying a total of 295 miRNAs. This study reports for the first-time a goat miRNome from milk EVs and its validation using cow miRNomes.

Indexed as

Extracellular VesiclesMicroRNAsAnimalsCattleFemaleGoatsLactationMilkMicroRNAs

Identifiers

PMID37468505
PMCPMC10356914
OpenAlexW4384819297

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.