Evidence map›Paper›PMID 40487354›Full record

ArticleMolecular therapy. Nucleic acids2025

Validation of tRNA-derived fragments as diagnostic biomarkers in suspected acute stroke; limitations in analysis and quantification methods.

Tamar Woudenberg, M Leontien van der Bent, Daphne A L van den Homberg, T Truc My Nguyen, Marieke J H Wermer, Ido R van den Wijngaard, Paul H A Quax, A Yaël Nossent, Nyika D Kruyt

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular therapy. Nucleic acids, 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. 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

9 authors.

Tamar WoudenbergDepartment of Vascular Surgery, Leiden University Medical Center, 2300 RC Leiden, the Netherlands.
M Leontien van der BentDepartment of Vascular Surgery, Leiden University Medical Center, 2300 RC Leiden, the Netherlands.
Daphne A L van den HombergDepartment of Vascular Surgery, Leiden University Medical Center, 2300 RC Leiden, the Netherlands.
T Truc My NguyenDepartment of Neurology, Leiden University Medical Center, 2300 RC Leiden, the Netherlands.
Marieke J H WermerDepartment of Neurology, Leiden University Medical Center, 2300 RC Leiden, the Netherlands.
Ido R van den WijngaardDepartment of Neurology, Leiden University Medical Center, 2300 RC Leiden, the Netherlands.
Paul H A QuaxDepartment of Vascular Surgery, Leiden University Medical Center, 2300 RC Leiden, the Netherlands.
A Yaël NossentDepartment of Nutrition, Exercise and Sports, University of Copenhagen, 2200 Copenhagen, Denmark.
Nyika D KruytDepartment of Neurology, Leiden University Medical Center, 2300 RC Leiden, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In acute stroke, timely diagnosis is essential to prevent extensive neuronal damage and improve patient outcomes. However, differentiating between ischemic stroke, intracerebral hemorrhage, and stroke mimics remains challenging. Transfer RNA-derived fragments (tRFs) have emerged as potential biomarkers for distinguishing between these stroke subtypes. Here we used reverse transcription-quantitative PCR (RT-qPCR) to investigate the expression of specific tRFs that we previously identified in small RNA sequencing data as potential biomarkers. Out of 12 measured tRFs, only the fragments ArgTCG

Indexed as

acute strokediagnostic biomarkerintracerebral hemorrhageischemic strokeMT: Non-coding RNAsrt/qPCR validationsmall RNA-sequencingstroke mimictRNA-derived fragmentstRNAs

Identifiers

PMID40487354
PMCPMC12143625

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.