Evidence map›Paper›PMID 40362479›Full record

ArticleInternational journal of molecular sciences2025

Exosomal microRNA from Plasma in Patients with Pseudoexfoliation Glaucoma of Korea.

Hyo Jung An, Dae Hyun Song, Changwon Kee, Hyun-Kyung Cho

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

4 authors.

Hyo Jung AnDepartment of Pathology, Gyeongsang National University Changwon Hospital, School of Medicine, Gyeongsang National University, Changwon 51472, Republic of Korea.
Dae Hyun SongDepartment of Pathology, Gyeongsang National University Changwon Hospital, School of Medicine, Gyeongsang National University, Changwon 51472, Republic of Korea.ORCID 0000-0001-7163-0403
Changwon KeeDepartment of Ophthalmology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul 06351, Republic of Korea.
Hyun-Kyung ChoInstitute of Medical Science, School of Medicine, Gyeongsang National University, Jinju 52727, Republic of Korea.ORCID 0000-0001-5631-5077

Funding

National Research Foundation of Korea (NRF) funded by the Ministry of Science, and ICT (MSIT), Republic of Korea. No. 2019R1G1A1007020
6 · The paper itself

Abstract

This study aimed to determine the microRNA (miRNA) profile extracted from exosomes in plasma samples in pseudoexfoliation (PEX) glaucoma patients compared to controls. A blood sample (10 mL) was obtained after acquiring written informed consent. Exosome was extracted from each plasma sample using an Exoquick-TC kit. RNA sequencing was performed for each exosome sample. A bioinformatics study was conducted for miRNA-related pathways and targets. A total of 14 Korean subjects (7 with PEX glaucoma; 7 age-matched controls) were involved in the final study. In exosomes of PEX glaucoma participants, 330 mature miRNAs were detected. Among these, three miRNAs were significantly upregulated, including hsa-miR-92b-5p (fold change: 24.68), hsa-miR-744-5p (fold change: 2.49), and hsa-miR-148b-3p (fold change: 3.96). Sixty-six miRNAs were significantly downregulated in PEX glaucoma patients compared to the controls (all

Indexed as

Exfoliation SyndromeExosomesGlaucomaMicroRNAsAgedBiomarkersCase-Control StudiesFemaleGene Expression ProfilingHumansMaleMiddle AgedRepublic of KoreaBiomarkersMicroRNAsexosomal microRNAexosomeglaucomamicroRNApseudoexfoliation glaucomaRNA sequencing

Identifiers

PMID40362479
PMCPMC12071745

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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.