Evidence map›Paper›PMID 38263049›Full record

ArticleCell communication and signaling : CCS2024

Immunophenotype profile by flow cytometry reveals different subtypes of extracellular vesicles in porcine seminal plasma.

Isabel Barranco, Alberto Alvarez-Barrientos, Ana Parra, Pablo Martínez-Díaz, Xiomara Lucas, Jordi Roca

Open access · goldAbstract read
In one paragraph

Article in Cell communication and signaling : CCS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

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  14. Exosomal ncRNAs in reproductive cancers†.Biology of reproduction · 2025
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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

6 authors at 2 institutions in 1 country.

Isabel BarrancoDepartment of Medicine and Animal Surgery, Faculty of Veterinary Science, University of Murcia, Murcia, Spain. isabel.barranco@um.es.
Alberto Alvarez-BarrientosServicio de Técnicas Aplicadas a las Biociencias, Universidad de Extremadura, Badajoz, Spain.
Ana ParraDepartment of Medicine and Animal Surgery, Faculty of Veterinary Science, University of Murcia, Murcia, Spain.
Pablo Martínez-DíazDepartment of Medicine and Animal Surgery, Faculty of Veterinary Science, University of Murcia, Murcia, Spain.
Xiomara LucasDepartment of Medicine and Animal Surgery, Faculty of Veterinary Science, University of Murcia, Murcia, Spain.
Jordi RocaDepartment of Medicine and Animal Surgery, Faculty of Veterinary Science, University of Murcia, Murcia, Spain.
Universidad de Murcia · ESUniversidad de Extremadura · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPorcine seminal plasma (SP) is endowed with a heterogeneous population of extracellular vesicles (sEVs). This study evaluated the immunophenotypic profile by high-sensitivity flow cytometry of eight sEV subpopulations isolated according to their size (small [S-sEVs] and large [L-sEVs]) from four different SP sources, namely three ejaculate fractions (the first 10 mL of the sperm rich fraction [SRF-P1], the remaining SRF [SRF-P2], and the post-SRF [PSRF]) and entire ejaculate (EE).

methodsSeminal EVs were isolated using a size exclusion chromatography-based protocol from six SP pools (five ejaculates/pool) of each SP source and characterized using complementary approaches including total protein (BCA™assay), particle size distribution (dynamic light scattering), morphology (transmission electron microscopy), and purity (albumin by Western blot). Expression of CD9, CD63, CD81, CD44 and HSP90β was analyzed in all sEV subpopulations by high-sensitivity flow cytometry according to MIFlowCyt-EV guidelines, including an accurate calibration, controls, and discrimination by CFSE-labelling.

resultsEach sEV subpopulation exhibited a specific immunophenotypic profile. The percentage of sEVs positive for CD9, CD63, CD81 and HSP90β differed between S- and L-sEVs (P < 0.0001). Specifically, the percentage of sEVs positive for CD9 and CD63 was higher and that for CD81 was lower in S- than L-sEVs in the four SP sources. However, the percentage of HSP90β-positive sEVs was lower in S-sEVs than L-sEVs in the SRF-P1 and EE samples. The percentage of sEVs positive for CD9, CD63, and CD44 also differed among the four SP sources (P < 0.0001), being highest in PSRF samples. Notably, virtually all sEV subpopulations expressed CD44 (range: 88.04-98.50%).

conclusionsThis study demonstrated the utility of high-sensitivity flow cytometry for sEV immunophenotyping, allowing the identification of distinct sEV subpopulations that may have different cellular origin, cargo, functions, and target cells.

Indexed as

Extracellular VesiclesSemenAnimalsFlow CytometryImmunophenotypingMaleMicroscopy, Electron, TransmissionSwineEjaculateExtracellular vesiclesFlow cytometryPigSeminal plasma

Identifiers

PMID38263049
PMCPMC10807091
OpenAlexW4391136106

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.