Evidence map›Paper›PMID 40032652›Full record

ReviewJournal of cellular and molecular medicine2025

Emerging Roles of Long Non-Coding RNAs in Cardiovascular Diseases.

Xiangyue Kong, Fengjuan Li, Yuan Wang

Abstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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

3 authors.

Xiangyue KongBeijing Collaborative Innovation Centre for Cardiovascular Disorders, the Key Laboratory of Remodeling-Related Cardiovascular Disease, Ministry of Education, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Fengjuan LiBeijing Collaborative Innovation Centre for Cardiovascular Disorders, the Key Laboratory of Remodeling-Related Cardiovascular Disease, Ministry of Education, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Yuan WangBeijing Collaborative Innovation Centre for Cardiovascular Disorders, the Key Laboratory of Remodeling-Related Cardiovascular Disease, Ministry of Education, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-9189-3630

Funding

Beijing Municipal Health Commission 11000025T000003321782National Natural Science Foundation of China 82270499
6 · The paper itself

Abstract

Cardiovascular diseases (CVDs) are the leading cause of morbidity and mortality worldwide. Over the past decade, studies have demonstrated that circulating long non-coding RNAs (lncRNAs)-recognised for their stability and ease of detection-serve as crucial regulators and potential biomarkers in multiple diseases. LncRNAs regulate key processes, including endothelial function, vascular remodelling, and myocardial hypertrophy, all of which influence CVD progression. Additionally, lncRNAs display cell-, tissue-, and disease-specific expression patterns, making them ideal therapeutic targets or tools. This review presents a comprehensive overview of the current understanding of lncRNAs in CVDs, examining their mechanisms of action and recent research advances. It also addresses the use of lncRNAs as diagnostic and prognostic markers, as well as potential applications of RNA therapeutics in novel treatment strategies.

Indexed as

Cardiovascular DiseasesRNA, Long NoncodingAnimalsBiomarkersGene Expression RegulationHumansPrognosisBiomarkersRNA, Long Noncodingbiomarkercardiovascular diseaseLong non‐coding RNAtherapeutic strategies

Identifiers

PMID40032652
PMCPMC11875779

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.