Evidence map›Paper›PMID 40199990›Full record

ArticleScientific reports2025

Menstrual blood serum extracellular vesicles reveal novel molecular biomarkers and potential endotypes of unexplained infertility.

Kieran Brennan, Raminta Vaiciuleviciute, Ilona Uzieliene, Jolita Pachaleva, Zaneta Kasilovskiene, Lina Piesiniene, Eiva Bernotiene, Margaret M Mc Gee

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Clinical Applications of Extracellular Vesicles: Promises and Pitfalls.International journal of molecular sciences · 2026
    Review
  6. Article
  7. Article
  8. Review
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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

8 authors.

Kieran Brennan *School of Biomolecular and Biomedical Science, University College Dublin, Belfield, Dublin 4, Ireland.
Raminta Vaiciuleviciute *Department of Regenerative Medicine, Innovative Medicine Centre, Santariskiu str 5, LT-08406, Vilnius, Lithuania.
Ilona UzielieneDepartment of Regenerative Medicine, Innovative Medicine Centre, Santariskiu str 5, LT-08406, Vilnius, Lithuania.
Jolita PachalevaDepartment of Regenerative Medicine, Innovative Medicine Centre, Santariskiu str 5, LT-08406, Vilnius, Lithuania.
Zaneta KasilovskieneMedical Center "MAXMEDA", Vilnius, Lithuania.
Lina PiesinieneNanodiagnostika, Ltd., Vilnius, Lithuania.
Eiva BernotieneDepartment of Regenerative Medicine, Innovative Medicine Centre, Santariskiu str 5, LT-08406, Vilnius, Lithuania.
Margaret M Mc GeeSchool of Biomolecular and Biomedical Science, University College Dublin, Belfield, Dublin 4, Ireland. margaret.mcgee@ucd.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several biomolecules have been previously associated with unexplained infertility (uIF) in blood and uterine samples, immune cells and their secreted factors, endometrial tissue, menstrual blood, serum, and stromal cells, however they do not comprehensively represent different uIF endotypes and their isolation/detection involves invasive diagnostic methods and lacks precision. This ex-vivo study was performed on extracellular vesicles (EVs) from menstrual blood collected on cycle day 2 from 9 fertile volunteers and 8 women with uIF. Menstrual blood serum (MBS) EVs were isolated from fertile and uIF MBS using Iodixanol Density Gradient Centrifugation and quantified by flow cytometry. EVs were characterized according to MISEV2023 guidelines. Comprehensive proteomic analysis of MBS EVs and EV-depleted MBS showed significant changes in uIF proteome, mostly affecting cell adhesion, immune response, apoptosis, response to oxidative stress and lipid metabolism. These processes were previously linked to pathologies of the female reproductive system but never investigated in uIF and were used to stratify patients into distinct molecular endotypes. Area under the curve (AUC) analysis was used to determine the optimum set of biomarkers for each of the uIF molecular endotypes. These findings provide new insights into uIF that could facilitate personalised treatment approaches.

Indexed as

BiomarkersExtracellular VesiclesInfertility, FemaleMenstruationAdultFemaleHumansProteomeProteomicsBiomarkersProteomeExtracellular vesiclesMenstrual blood serumMolecular endotypesProteomicsUnexplained infertility

Identifiers

PMID40199990
PMCPMC11978918

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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.