Evidence mapPaperPMID 39759175Full record

ReviewNon-coding RNA research2025

Decoding the regulatory roles of circular RNAs in cardiac fibrosis.

Qianhui You, Jiajing Yu, Runfang Pan, Jiaming Feng, Haidong Guo, Baonian Liu

Abstract readReview
In one paragraph

Review in Non-coding RNA research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Qianhui YouDepartment of Anatomy, School of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Jiajing YuDepartment of Anatomy, School of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Runfang PanDepartment of Anatomy, School of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Jiaming FengDepartment of Anatomy, School of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Haidong GuoDepartment of Anatomy, School of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Baonian LiuDepartment of Anatomy, School of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases (CVDs) are the primary cause of death globally. The evolution of nearly all types of CVDs is characterized by a common theme: the emergence of cardiac fibrosis. The precise mechanisms that trigger cardiac fibrosis are still not completely understood. In recent years, a type of non-coding regulatory RNA molecule known as circular RNAs (circRNAs) has been reported. These molecules are produced during back splicing and possess significant biological capabilities, such as regulating microRNA activity, serving as protein scaffolds and recruiters, competing with mRNA, forming circR-loop structures to modulate transcription, and translating polypeptides. Furthermore, circRNAs exhibit a substantial abundance, notable stability, and specificity of tissues, cells, and time, endowing them with the potential as biomarkers, therapeutic targets, and therapeutic agents. CircRNAs have garnered growing interest in the field of CVDs. Recent investigations into the involvement of circRNAs in cardiac fibrosis have yielded encouraging findings. This study aims to provide a concise overview of the existing knowledge about the regulatory roles of circRNAs in cardiac fibrosis.

Indexed as

BiomarkerCardiac fibrosisCircular RNAsTherapeutic agentTherapeutic target

Identifiers

PMID39759175
PMCPMC11697406

What Socratic holds

Textmetadata
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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.