Evidence mapPaperPMID 41398323Full record

Articlenpj aging2025

A urinary microRNA aging clock accurately predicts biological age.

Milos Havelka, Atsushi Satomura, Hiroki Yamaguchi, Akira Cortal, Yoriko Ando, Motoki Mikami, Mika Mizunuma, Yuki Ichikawa

Abstract read
In one paragraph

Article in npj aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Extracellular vesicles and epigenetic aging clocks in tissue aging: an exosome-focused conceptual framework with a focus on skin.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Review
  2. Review
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.

Milos HavelkaCraif Inc., Nagoya, Japan.
Atsushi SatomuraCraif Inc., Nagoya, Japan.
Hiroki YamaguchiCraif Inc., Nagoya, Japan.
Akira CortalCraif 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

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to develop and validate a urinary miRNA aging clock, positioning urine as a scalable, non-invasive aging-biomarker source. Using machine learning on 6331 adults, our clock achieved MAE ≈ 4.4 years (R² ≈ 0.79) in independent validation. The clock's key biomarkers included well-established geromiRs miR-34a-5p, miR-31-5p, miR-146a-5p, and miR-155-5p. While slightly less accurate than DNA-methylation clocks, our model outperformed blood-based miRNA and mRNA clocks, underscoring urinary miRNAs as promising, truly non-invasive biomarkers of biological age and disease risk.

Identifiers

PMID41398323
PMCPMC12820285

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.