Evidence map›Paper›PMID 40510126›Full record

ReviewiScience2025

Understanding tsRNAs: From classification to disease mechanisms.

Bo Fang, Kai Wang, Yinghui Li, Bo Li, Xinzhe Chen, Kun Wang, Sumin Yang

Abstract readReview
In one paragraph

Review in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
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

7 authors.

Bo FangDepartment of Cardiovascular Surgery, Institute of Chronic Diseases, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, Shandong 266003, China.
Kai WangDepartment of Cardiovascular Surgery, Institute of Chronic Diseases, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, Shandong 266003, China.
Yinghui LiDepartment of Cardiovascular Surgery, Institute of Chronic Diseases, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, Shandong 266003, China.
Bo LiDepartment of Cardiovascular Surgery, Institute of Chronic Diseases, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, Shandong 266003, China.
Xinzhe ChenDepartment of Cardiovascular Surgery, Institute of Chronic Diseases, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, Shandong 266003, China.
Kun WangDepartment of Cardiovascular Surgery, Institute of Chronic Diseases, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, Shandong 266003, China.
Sumin YangDepartment of Cardiovascular Surgery, Institute of Chronic Diseases, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, Shandong 266003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

tRNA-derived small RNAs (tsRNAs) are a class of non-coding RNA molecules generated through the cleavage of tRNA, primarily categorized into tRNA-derived fragments (tRFs) and tRNA-derived stress-induced small RNAs (tiRNAs). tsRNAs have been shown to play diverse roles in essential biological processes, such as gene expression regulation, cellular stress response, proliferation, and differentiation. Furthermore, tsRNAs are abnormally expressed in various disease states and play a key role in disease pathogenesis. This article reviews the generation, classification, and nomenclature of tsRNAs, examines their potential biological functions and mechanisms in diseases, and discusses their promise as biomarkers and therapeutic targets. Although tsRNA research is still in its early stages, the potential applications of tsRNAs in disease treatment are promising and warrant further investigation.

Indexed as

BiomoleculesNucleic acids

Identifiers

PMID40510126
PMCPMC12159491

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.