ArticleScientific reports2025
Expression analysis of plasma extracellular vesicle associated candidate MiRNAs in endometriosis using integrative bioinformatics and experiential data.
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 3 papers.
What it found
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Engineering the human endometrium at the intersection of development and reproduction.Nature biomedical engineering · 2026Review
- Gene regulation by non-Coding RNAs in infertility: a mechanistic review.Journal of ovarian research · 2025Review
- Non-Invasive Extracellular Vesicle Biomarkers in Endometriosis, Molecular Signatures Linking Pelvic Inflammation, Oocyte Quality, and IVF OutcomesCurrent issues in molecular biology · 2025Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Laparoscopy is the gold standard for diagnosing endometriosis; however, it is an invasive and costly method. Recent studies offer a non-invasive approach based on extracellular vesicle miRNA. Despite this, no consensus diagnostic biomarker has been identified to date. For addressing this gap, we decided to investigate plasma derived extracellular vesicle associated candidate miRNAs. In order to identify candidate miRNAs, a comprehensive search was performed in PubMed database using the search terms "micro-RNA" and "endometriosis". Then, bioinformatics analysis was performed utilizing the miRTarBase database, Enrichr, and relevant software. During the experimental phase, the presence of candidate miRNAs was assessed in blood samples of 13 women with severe endometriosis, confirmed through laparoscopy or doppler sonography, as well as in 11 endometriosis-free women, as control group. After literature review of 405 articles published between 2007 and 2023, followed by bioinformatics analysis, were identified five miRNAs (miR-451a, 148a, 23b, 100, and 154) as candidate miRNAs. Subsequently, the expression levels of miR-451a, 148a, 23b, and 100 found to exhibit differences between the case and control groups. Our study suggests to serve of these miRNAs as a potentially diagnostic biomarker panel for endometriosis, however it needs to be confirmed by future studies with large diagnostic validation.
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Registered trials
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