Evidence map›Paper›PMID 40305238›Full record

ReviewBiomolecules2025

Mapping Current Studies of tRNA Fragments onto Disease Landscape.

Sathyanarayanan Vaidhyanathan, MacKenna Durbin, Adesupo A Adetowubo, Lisa H Do, Sheida Kavehmoghaddam, Sai Anusha Jonnalagadda, Bryan Ramirez Aguilar, Tamin Ortiz-Gomez, Yan X Lin, Asim Dave and 7 more

Abstract readReview
In one paragraph

Review in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Transfer RNA Fragments in Diseases of Sensory Organs.International journal of molecular sciences · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. 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

17 authors.

Sathyanarayanan VaidhyanathanDepartment of Biology, Rutgers University, Camden, NJ 08102, USA.ORCID 0009-0005-4965-8297
MacKenna DurbinDepartment of Biology, Rutgers University, Camden, NJ 08102, USA.
Adesupo A AdetowuboDepartment of Biology, Rutgers University, Camden, NJ 08102, USA.
Lisa H DoDepartment of Biology, Rutgers University, Camden, NJ 08102, USA.
Sheida KavehmoghaddamDepartment of Biology, Rutgers University, Camden, NJ 08102, USA.
Sai Anusha JonnalagaddaDepartment of Biology, Rutgers University, Camden, NJ 08102, USA.ORCID 0009-0008-7500-2613
Bryan Ramirez AguilarDepartment of Biology, Rutgers University, Camden, NJ 08102, USA.
Tamin Ortiz-GomezDepartment of Biology, Rutgers University, Camden, NJ 08102, USA.ORCID 0000-0003-2857-5052
Yan X LinCenter for Computational and Integrative Biology, Rutgers University, Camden, NJ 08102, USA.ORCID 0009-0006-5004-6033
Asim DaveCenter for Computational and Integrative Biology, Rutgers University, Camden, NJ 08102, USA.
Fatmanur KiliçDepartment of Biology, Rutgers University, Camden, NJ 08102, USA.ORCID 0009-0000-6931-5498
Alexa R KarpDepartment of Biology, Rutgers University, Camden, NJ 08102, USA.
Mohammed Imthiyas RahmahCenter for Computational and Integrative Biology, Rutgers University, Camden, NJ 08102, USA.
Noor F RiazDepartment of Biology, Rutgers University, Camden, NJ 08102, USA.
Nikhila MandavaDepartment of Biology, Rutgers University, Camden, NJ 08102, USA.
Aleece SinerDepartment of Biology, Rutgers University, Camden, NJ 08102, USA.
Andrey GrigorievDepartment of Biology, Rutgers University, Camden, NJ 08102, USA.ORCID 0000-0002-3227-532X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transfer-RNA-derived fragments (tRFs) are a relatively recently discovered class of non-coding RNAs derived from both precursor and mature transfer RNAs (tRNAs). Research on these molecules has been expanding rapidly, revealing their diverse roles in cellular processes, both in normal physiology and in disease states, often via post-transcriptional regulation of target genes. Altered tRFs abundances have been implicated in various conditions, where they may act as either drivers of disease progression or as protective agents. For instance, specific tRFs are associated with increased risk for cancer metastasis, while others may suppress tumor cell proliferation. Despite the growing recognition of tRFs as functional RNAs rather than sequencing noise, this field of study faces numerous challenges. Inconsistent naming conventions and variability in experimental approaches hinder the comparison of findings across studies, limiting our understanding of the common roles and mechanisms of tRFs. This review provides a comprehensive analysis of current literature on the various roles of tRFs in different diseases, particularly focusing on four broad areas: cancer, neurological, cardiovascular, and musculoskeletal disorders. We analyze studies that link specific tRFs to various aspects of human diseases and provide a convenient classification of these studies regarding the depth of the provided evidence. Further, we note gaps in current investigations and consider strategies to address methodological inconsistencies, including validation experiments and unified nomenclature. By consolidating research in this manner, we aim to facilitate comparisons across diverse studies, enhancing our ability to identify functional commonalities and furthering our understanding of the mechanisms by which tRFs act.

Indexed as

Cardiovascular DiseasesMusculoskeletal DiseasesNeoplasmsNervous System DiseasesRNA, TransferAnimalsHumansRNA, Transferbiomarkerscancercardiovascular diseasesmusculoskeletal diseasesneurological diseasesregulationtransfer RNAtransfer RNA fragments

Identifiers

PMID40305238
PMCPMC12025293

What Socratic 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 Socratic graph.