Evidence map›Paper›PMID 41038864›Full record

ArticleScientific reports2025

Robustness of urinary extracellular vesicle-derived MiRNA profiles over multiple days and the impact of urine concentration.

Atsushi Satomura, Yoriko Ando, Motoki Mikami, Mika Mizunuma, Yuki Ichikawa

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 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. 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

5 authors.

Atsushi SatomuraCraif Inc, Nagoya, Japan.
Yoriko AndoCraif Inc, Nagoya, Japan.
Motoki MikamiCraif Inc, Nagoya, Japan.
Mika MizunumaCraif Inc, Nagoya, Japan.
Yuki IchikawaCraif Inc, Nagoya, Japan. yuki.ichikawa@craif.com.

Funding

Japan Agency for Medical Research and Development (AMED) JP24he2302007
6 · The paper itself

Abstract

Urinary extracellular vesicle (uEV)-derived microRNAs (miRNAs) have emerged as promising noninvasive biomarkers for disease prediction. However, fluctuations in urine concentration throughout the day may influence miRNA abundance and profiles, potentially limiting their clinical utility. To ensure the broader applicability of uEV-derived miRNAs in disease prediction, it is essential that their profiles remain stable regardless of collection time. In this study, we systematically examined factors influencing miRNA abundance in uEVs and assessed the stability of miRNA profiles. We collected serial urine samples from healthy individuals over three days and performed small RNA sequencing to analyze uEV-derived miRNA profiles in relation to various urine concentration parameters. Total miRNA counts were negatively correlated with urine volume and positively correlated with urine concentration indicators, including specific gravity and creatinine levels. miRNA profiles remained stable across different times and days when samples with low miRNA counts were excluded. These findings indicate that urine dilution is a major cause of variation in miRNA abundance. Our results highlight the importance of collecting adequately concentrated samples and provide foundational insights for developing standardized urine collection protocols, thereby facilitating the use of urinary uEV-derived miRNAs as robust and reliable biomarkers for disease prediction.

Indexed as

Extracellular VesiclesMicroRNAsAdultBiomarkersFemaleHumansMaleMiddle AgedBiomarkersMicroRNAsExtracellular vesiclesNoninvasive biomarkersPreanalytical variables

Identifiers

PMID41038864
PMCPMC12491611

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Registered trials

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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.