Evidence map›Paper›PMID 34698362›Full record

ArticleMolecular medicine reports2021

lncRNA KCNQ1OT1 may function as a competitive endogenous RNA in atrial fibrillation by sponging miR‑223‑3p.

Weiran Dai, Xiaoying Chao, Zhiyuan Jiang, Guoqiang Zhong

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. International journal of molecular sciences · 2025
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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

4 authors at 3 institutions in 1 country.

Weiran Dai *Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, P.R. China.
Xiaoying Chao *Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Zhiyuan JiangDepartment of Hypertension, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Guoqiang ZhongDepartment of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CNSecond Affiliated Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is one of the most common forms of cardiac arrhythmia. Novel evidence has indicated that a competing endogenous RNA (ceRNA) mechanism may occur in AF. The present study aimed to identify differentially expressed microRNAs (miRNAs/miRs) in AF and predict their targeting long non‑coding RNAs (lncRNAs) to identify a potential ceRNA network involved in AF using bioinformatics analysis. The GSE68475 microarray dataset was downloaded from the Gene Expression Omnibus database and differentially expressed miRNAs in AF were obtained. In addition, right atrial appendage (RAA) tissues from patients with AF were collected to determine the expression levels of the miRNAs identified following bioinformatics analysis using reverse transcription‑quantitative PCR (n=8 per group). Subsequently, Gene Ontology (GO) functional term and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway enrichment analyses of the target genes of differentially expressed miRNAs of interest were performed. The potential upstream lncRNAs targeting the identified miRNAs were predicted using bioinformatics analysis. A dual luciferase reporter assay was used to verify the existence of a targeted relationship between the differentially expressed miRNA and lncRNA of interest. The results identified 43 differentially expressed miRNAs, including 23 upregulated miRNAs. The trends in the expression levels of miR‑223‑3p were inconsistent between the microarray data and those recorded in the RAA tissues from patients with persistent AF. Therefore, miR‑223‑3p was selected as the miRNA of interest for further investigations. The target gene of miR‑233‑3p was found to be enriched in 57 GO terms and 21 KEGG signaling pathways. According to the bioinformatics prediction, 69 lncRNAs targeting miR‑223‑3p were identified, including the lncRNA growth arrest‑specific transcript 5, lncRNA KCNQ1 opposite strand/antisense transcript 1 (KCNQ1OT1) and lncRNA MYC‑induced long non‑coding RNA. The results from dual luciferase assay confirmed that miR‑223‑3p was a direct target of KCNQ1OT1. A ceRNA regulatory relationship may exist between KCNQ1OT1 and miR‑223‑3p in AF, providing therefore a novel potential research target for further studies.

Indexed as

AdultAgedAtrial FibrillationComputational BiologyFemaleGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansMaleMicroRNAsMiddle AgedPotassium Channels, Voltage-GatedRNA, Long NoncodingUp-RegulationKCNQ1OT1 long non-coding RNA, humanMicroRNAsMIR223, humanPotassium Channels, Voltage-GatedRNA, Long Noncodingatrial fibrillationcompeting endogenous RNAlong non‑coding RNA KCNQ1 opposite strand/antisense transcript 1microRNA‑223‑3p

Identifiers

PMID34698362
PMCPMC8569515
OpenAlexW3210595134

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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.