Evidence map›Paper›PMID 39456146›Full record

ArticleBiomolecules2024

Untargeted Metabolomic Profiling of Extracellular Vesicles Isolated from Human Seminal Plasma.

Manesh Kumar Panner Selvam, Partha K Chandra, Zahra Bakhtiary, David W Busija, Suresh C Sikka

Abstract read
In one paragraph

Article in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

5 authors.

Manesh Kumar Panner SelvamDepartment of Urology, Tulane University School of Medicine, New Orleans, LA 70112, USA.ORCID 0000-0002-9120-2278
Partha K ChandraDepartment of Pharmacology, Tulane University School of Medicine, New Orleans, LA 70112, USA.ORCID 0000-0002-4396-3996
Zahra BakhtiaryDepartment of Urology, Tulane University School of Medicine, New Orleans, LA 70112, USA.
David W BusijaDepartment of Pharmacology, Tulane University School of Medicine, New Orleans, LA 70112, USA.
Suresh C SikkaDepartment of Urology, Tulane University School of Medicine, New Orleans, LA 70112, USA.

Funding

The effects of HIV-associated extracellular vesicles on mitochondrial dysfunction in brain microvesselsR01NS136041 · NINDS · TULANE UNIVERSITY OF LOUISIANA · PI Partha Chandra · 2024 to 2026
$1.5M
NINDS NIH HHS R01 NS136041
6 · The paper itself

Abstract

Seminal extracellular vesicles (SemEVs) are repositories of biomolecules, including metabolites involved in the regulation of sperm function. The correlation between the metabolite profile of SemEVs and semen parameters, along with their role in regulating sperm function, is an unexplored area. This preliminary study evaluated the metabolomic content of SemEVs. Semen samples were obtained from 18 healthy men, and SemEVs were extracted from seminal plasma using the size exclusion chromatography qEV Gen 2-35 nm column coupled with an automatic fraction collector. The physical characterization of SemEVs was carried out with the ZetaView PMX-430-Z QUATT laser system. EV protein markers were detected using Western blot. In addition, these SemEVs were used for metabolomic profiling and functional bioinformatic analysis. The mean concentration of isolated SemEVs was 1.7 ± 1.1 × 10

Indexed as

Extracellular VesiclesMetabolomicsSemenAdultBiomarkersEndosomal Sorting Complexes Required for TransportHumansMaleMetabolomeBiomarkersEndosomal Sorting Complexes Required for Transportbioinformaticsmetabolitesmetabolomicssemenseminal extracellular vesicles

Identifiers

PMID39456146
PMCPMC11506783

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.