Transfer RNA-derived small RNAs as novel players and biomarkers in cardiovascular disease

An emerging field in cardiovascular research is the translational investigation of transfer RNA-derived small RNAs (tsRNAs). TsRNAs, a class of small non-coding RNA molecules, have been shown to modulate cellular functions by regulating gene expression post-transcriptionally. They are implicated in diverse pathological conditions, including cancer, cardiovascular disease (CVD), infectious disease, diabetes, neurological disease, and metabolic disorder. Accumulating evidence suggests tsRNAs as important players and biomarkers in CVD. Dysregulated tsRNAs are identified in atherosclerosis, heart failure, hypertension and other types of CVD. Bioinformatics and in vitro experimental analyses reveal that tsRNAs may participate in the regulation of endothelial and inflammatory cell interactions, endothelial cell and vascular smooth muscle cell proliferation and migration, and cardiac metabolism, mitophagy and remodeling, contributing to the pathogenesis of CVD. In addition, altered tsRNAs possess great diagnostic and prognostic potential in CVD. Nevertheless, there are currently no in vivo mechanistic studies using animal models, and the small sizes of reported clinical studies that examined tsRNAs limit their diagnostic and prognostic value. Although of promise, further research is needed to address the utility of tsRNAs in cardiovascular care.

Authors

Institutions

Publication Details

Journal
Cardiology Journal
Published
2025-11-05
DOI
https://doi.org/10.5603/cj.103205
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transfer RNA-derived small RNAs as novel players and biomarkers in cardiovascular disease

Weifang Li, Michael J.B. Kutryk, Qiuwang Zhang, Raymond Chuen‐Chung Chang
Cardiology Journal
RNA modifications and cancer
article

Transfer RNA-derived small RNAs as novel players and biomarkers in cardiovascular disease

Weifang Li, Michael J.B. Kutryk, Qiuwang Zhang, Raymond Chuen‐Chung Chang
article en

Abstract

An emerging field in cardiovascular research is the translational investigation of transfer RNA-derived small RNAs (tsRNAs). TsRNAs, a class of small non-coding RNA molecules, have been shown to modulate cellular functions by regulating gene expression post-transcriptionally. They are implicated in diverse pathological conditions, including cancer, cardiovascular disease (CVD), infectious disease, diabetes, neurological disease, and metabolic disorder. Accumulating evidence suggests tsRNAs as important players and biomarkers in CVD. Dysregulated tsRNAs are identified in atherosclerosis, heart failure, hypertension and other types of CVD. Bioinformatics and in vitro experimental analyses reveal that tsRNAs may participate in the regulation of endothelial and inflammatory cell interactions, endothelial cell and vascular smooth muscle cell proliferation and migration, and cardiac metabolism, mitophagy and remodeling, contributing to the pathogenesis of CVD. In addition, altered tsRNAs possess great diagnostic and prognostic potential in CVD. Nevertheless, there are currently no in vivo mechanistic studies using animal models, and the small sizes of reported clinical studies that examined tsRNAs limit their diagnostic and prognostic value. Although of promise, further research is needed to address the utility of tsRNAs in cardiovascular care.

Cardiology JournalVol. 32(6)
Western University (CA), St. Michael's Hospital (CA), University of Toronto (CA), First Affiliated Hospital of Zhengzhou University (CN)
Openalex Percentile: Top 71%
RNA modifications and cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.