Evidence map›Paper›PMID 35924059›Full record

ReviewFrontiers in pharmacology2022

The circRNA-miRNA/RBP regulatory network in myocardial infarction.

Lei Zhang, Yuan Zhang, Fei Yu, Xin Li, Huijuan Gao, Peifeng Li

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.7field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 43 citations in OpenAlex.

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  13. mCellular & molecular biology letters · 2024
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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

6 authors at 2 institutions in 1 country.

Lei ZhangInstitute for Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Yuan ZhangInstitute for Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Fei YuInstitute for Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Xin LiInstitute for Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Huijuan GaoInstitute for Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Peifeng LiInstitute for Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Affiliated Hospital of Qingdao University · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial infarction (MI) is a serious heart disease that causes high mortality rate worldwide. Noncoding RNAs are widely involved in the pathogenesis of MI. Circular RNAs (circRNAs) are recently validated to be crucial modulators of MI. CircRNAs are circularized RNAs with covalently closed loops, which make them stable under various conditions. CircRNAs can function by different mechanisms, such as serving as sponges of microRNAs (miRNAs) and RNA-binding proteins (RBPs), regulating mRNA transcription, and encoding peptides. Among these mechanisms, sponging miRNAs/RBPs is the main pathway. In this paper, we systematically review the current knowledge on the properties and action modes of circRNAs, elaborate on the roles of the circRNA-miRNA/RBP network in MI, and explore the value of circRNAs in MI diagnosis and clinical therapies. CircRNAs are widely involved in MI. CircRNAs have many advantages, such as stability, specificity, and wide distribution, which imply that circRNAs have a great potential to act as biomarkers for MI diagnosis and prognosis.

Indexed as

circular RNAclinical applicationmiRNA spongemyocardial infarctionregulatory pathway

Identifiers

PMID35924059
PMCPMC9340152
OpenAlexW4285726633

What OpenQuestion 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 OpenQuestion graph.