Evidence map›Paper›PMID 40269521›Full record

ArticleEpigenomics2025

tRF5-22-SerGCT-1 protects the heart against myocardial injury by targeting MSK1.

Fanji Meng, Hemanyun Bai, Kangling Ke, Lingyan Fang, Haitao Huang, Xiao Liang, Weiyan Li, Xiongwen Chen, Can Chen

Abstract read
In one paragraph

Article in Epigenomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

4 citing papers in PubMed.

  1. Review
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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.

Fanji MengDepartment of Cardiology, The Second Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang, China.
Hemanyun BaiDepartment of Cardiology, The Second Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang, China.ORCID 0009-0009-2152-5256
Kangling KeDepartment of Cardiology, The Second Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang, China.
Lingyan FangDepartment of Cardiology, The Second Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang, China.
Haitao HuangDepartment of Cardiology, The Second Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang, China.
Xiao LiangDepartment of Cardiology, The Second Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang, China.
Weiyan LiDepartment of Cardiology, The Second Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang, China.
Xiongwen ChenDepartment of Biopharmaceutical Sciences, Tianjin Key Laboratory on Technologies Enabling Development of Clinical Therapeutics and Diagnostics and School of Pharmacy, Tianjin Medical University, Tianjin, China.
Can ChenDepartment of Cardiology, The Second Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang, China.ORCID 0000-0001-7096-1390

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aims to explore the expression profiles and potential functions of tsRNAs in MI.

methodsUsing a mouse model of MI induced by coronary artery ligation, we used smallRNA array to obtain tsRNAs expression profiles. Reverse transcription quantitative polymerase chain reaction(RT-qPCR), Western Blot, tRF5-22-SerGCT-1 mimics and inhibitors, cell proliferation and apoptosis detection, luciferase reporter assay, and bioinformatics analysis were employed to screen differentially expressed tsRNAs and identify the functions of tsRNAs after MI.

resultsA total of 175 significantly different tsRNAs (FC > 1.5,

conclusionWe found differentially expressed tsRNAs in MI. In addition, our research showed first that tRF5-22-SerGCT-1 might be involved in the MAPK pathways by targeting the MSK1, modulating apoptosis.

Indexed as

Myocardial InfarctionRibosomal Protein S6 Kinases, 90-kDaRNA, Long NoncodingAnimalsApoptosisAutophagyDisease Models, AnimalHumansMaleMiceMyocytes, CardiacRibosomal Protein S6 Kinases, 90-kDaRNA, Long Noncodingbioinformatics analysisgene regulationMyocardial infarctionsmallRNA arraytsRNAs

Identifiers

PMID40269521
PMCPMC12026222

What OpenQuestion holds

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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.