Evidence map›Paper›PMID 35254452›Full record

ReviewJournal of molecular medicine (Berlin, Germany)2022

Circular RNAs: regulators of vascular smooth muscle cells in cardiovascular diseases.

Meichun Wu, Min Xun, Yuping Chen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of molecular medicine (Berlin, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Circ-LRP6 Inhibits the Development and Progression of AAACurrent pharmaceutical biotechnology · 2025
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. 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 at 1 institution in 1 country.

Meichun WuHengyang Medical School, University of South China, Hengyang, 410001, China.
Min XunInstitute of Pharmacy & Pharmacology, School of Pharmaceutical Science, University of South China, 28 West Changsheng Road, Hengyang Hunan, 410001, China.
Yuping ChenHengyang Medical School, University of South China, Hengyang, 410001, China. 2017001009@usc.edu.cn.ORCID 0000-0002-4810-1922
University of South China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aberrant expansion and dysfunction of vascular smooth muscle cells (VSMCs) contribute to the occurrence and development of many cardiovascular diseases. Circular RNAs, a new class of non-coding RNAs with the 3' and 5' ends covalently linked together due to back-splicing, have recently been revealed to function as new regulators of VSMCs. These circular RNAs mainly act as RNA sponge to downregulate other regulatory non-coding RNAs such as microRNAs, influencing the overgrowth and transformation of VSMCs under pathogenic conditions. The purpose of this review is to summarize how circular RNAs fluctuate their own expression in response to multiple stimuli in vitro and in vivo and how they modulate the phenotypic adaptation, proliferation, migration, apoptosis, and senescence of VSMCs, which in turn affects the progression of cardiovascular diseases. Finally, we highlight the potential of circular RNAs as the biomarkers and therapeutic targets for abnormal VSMCs and cardiovascular diseases.

Indexed as

AtherosclerosisCardiovascular DiseasesMicroRNAsCell MovementCell ProliferationHumansMuscle, Smooth, VascularMyocytes, Smooth MuscleRNA, CircularMicroRNAsRNA, CircularAneurysmAtherosclerosisCardiovascular diseasesCircular RNAsVascular smooth muscle cells

Identifiers

PMID35254452
OpenAlexW4220917862

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.