Evidence map›Paper›PMID 37719883›Full record

ReviewFrontiers in cell and developmental biology2023

Non-coding RNAs are key players and promising therapeutic targets in atherosclerosis.

Zhun Yu, JinZhu Yin, ZhiTong Tang, Ting Hu, ZhuoEr Wang, Ying Chen, Tianjia Liu, Wei Zhang

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Zhun YuSchool of Clinical Medical, Changchun University of Chinese Medicine, Jilin, China.
JinZhu YinCardiology Department, Affiliated Hospital of Changchun University of Chinese Medicine, Jilin, China.
ZhiTong TangDepartment of Massage, Affiliated Hospital of Changchun University of Chinese Medicine, Jilin, China.
Ting HuInternal Medicine of Chinese Medicine, Affiliated Hospital of Changchun University of Chinese Medicine, Jilin, China.
ZhuoEr WangSchool of Clinical Medical, Changchun University of Chinese Medicine, Jilin, China.
Ying ChenCardiology Department, Affiliated Hospital of Changchun University of Chinese Medicine, Jilin, China.
Tianjia LiuSchool of Pharmacy, Changchun University of Chinese Medicine, Jilin, China.
Wei ZhangOrthopedics Department, The Third Affiliated Hospital of Changchun University of Chinese Medicine, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) is the primary cause of death in humans. Atherosclerosis (AS) is the most common CVD and a major cause of many CVD-related fatalities. AS has numerous risk factors and complex pathogenesis, and while it has long been a research focus, most mechanisms underlying its progression remain unknown. Noncoding RNAs (ncRNAs) represent an important focus in epigenetics studies and are critical biological regulators that form a complex network of gene regulation. Abnormal ncRNA expression disrupts the normal function of tissues or cells, leading to disease development. A large body of evidence suggests that ncRNAs are involved in all stages of atherosclerosis, from initiation to progression, and that some are significantly differentially expressed during AS development, suggesting that they may be powerful markers for screening AS or potential treatment targets. Here, we review the role of ncRNAs in AS development and recent developments in the use of ncRNAs for AS-targeted therapy, providing evidence for ncRNAs as diagnostic markers and therapeutic targets.

Indexed as

atherosclerosiscardiovascular diseasemiRNAsncRNAstargeted therapy of atherosclerosis

Identifiers

PMID37719883
PMCPMC10502512

What OpenQuestion holds

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Registered trials

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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.