Evidence map›Paper›PMID 34403096›Full record

ArticleCurrent medical science2021

Identification of tRNA-derived Fragments and Their Potential Roles in Atherosclerosis.

Jian Wang, Pei-Kang Dong, Xiu-Feng Xu, Tao Huang, Shuai Mao, Qing-Guo Wang, Jie Hao, Xiao-Hong Liu, Xiao-Dong Sun, Kai Kang and 3 more

Abstract read
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In one paragraph

Article in Current medical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

13 citing papers in PubMed, 22 citations in OpenAlex.

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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

13 authors at 1 institution in 1 country.

Jian Wang *Department of Cardiology, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China.
Pei-Kang Dong *Department of Cardiology, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China.
Xiu-Feng Xu *Department of Neurology, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China.
Tao HuangDepartment of Cardiology, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China.
Shuai MaoDepartment of Cardiology, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China.
Qing-Guo WangDepartment of Cardiology, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China.
Jie HaoDepartment of Cardiology, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China.
Xiao-Hong LiuDepartment of Cardiology, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China.
Xiao-Dong SunDepartment of Endocrinology, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China.
Kai KangDepartment of Cardiology, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China.
Quan ZhangDepartment of Cardiology, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China.
Jing-Tian LiDepartment of Cardiology, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China. wfkljt@126.com.
Tao WangDepartment of Cardiology, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China. wyfywt@wfmc.edu.cn.
Weifang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAtherosclerosis (AS), a chronic inflammatory disease, is the basis of cardiovascular disease (CVD). Although the treatment has been greatly improved, AS still imposes a large burden on human health and the medical system, and we still need to further study its pathogenesis. As a novel biomolecule, transfer RNA-derived fragments (tRFs) play a key role in the progression of various disease. However, whether tRFs contribute to atherosclerosis pathogenesis remains unexplored.

methodsWith deep sequencing technology, the change of tRFs expression profiles in patients with AS compared to healthy control group was identified. The accuracy of the sequencing data was validated using RT qPCR. Subsequently, we predicted the potential target genes of tRFs by online miRNA target prediction algorithms. The potential functions of tRFs were evaluated with Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses.

resultsThere were 13 tRFs differentially expressed between patients with AS and healthy controls, of which 2 were up-regulated and 11 were down-regulated. Validation by RT-qPCR analysis confirmed the sequencing results, and tRF-Gly-GCC-009 was highly up-regulated in the AS group based on the results of sequencing which was confirmed by RT-qPCR analysis. Furthermore, GO enrichment and KEGG pathway analyses indicated that 10 signaling pathways were related to tRF-Gly-GCC-009. These pathways might be physiopathological fundamentals of AS, mainly involving in Apelin signaling, Notch signaling and calcium signaling.

conclusionThe results of our study provide important novel insight into the underlying pathogenesis and demonstrate that tRFs might be potential biomarkers and therapeutic targets for AS in the future.

Indexed as

AdultApelinAtherosclerosisBiomarkersCalcium SignalingFemaleGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedReceptors, NotchRNA-SeqRNA, TransferSignal TransductionApelinBiomarkersReceptors, NotchRNA, Transferatherosclerosisbioinformatic predictionnoncoding RNAstransfer RNA-derived fragments

Identifiers

PMID34403096
OpenAlexW3193744899

What Socratic holds

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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.