Evidence map›Paper›PMID 34848999›Full record

ArticleInternational journal of general medicine2021

Identification of circRNA-miRNA-mRNA Regulatory Network and Autophagy Interaction Network in Atrial Fibrillation Based on Bioinformatics Analysis.

Xiaoying Chao, Weiran Dai, Shuo Li, Chenyang Jiang, Zhiyuan Jiang, Guoqiang Zhong

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Circular RNAs as Novel Biomarkers and Application in Cardiovascular Diseases.Advances in experimental medicine and biology · 2025
    Review
  3. Article
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 1 institution in 1 country.

Xiaoying Chao *Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.ORCID 0000-0002-7881-5037
Weiran Dai *Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Shuo LiDepartment of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Chenyang JiangDepartment of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Zhiyuan JiangHypertension Division, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Guoqiang ZhongDepartment of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCircular RNA (circRNA) has been receiving increased attention in the research of atrial fibrillation (AF). Our study aims to find potential circRNAs and identify the circRNA-miRNA-mRNA regulatory network in AF based on bioinformatics analysis.

methodsGSE129409 was retrieved from the Gene Expression Omnibus (GEO) database, and we used R software to analyze the differentially expressed circRNAs (DECs). Subsequently, we used several bioinformatics methods to obtain the target miRNAs and the target genes. Next, we performed Gene Ontology (GO) classification and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of the target genes. Then, we used Cytoscape 3.8.2 software to visualize and construct the circRNA-miRNA-mRNA regulatory network, the protein-protein interaction (PPI) network, and the autophagy-related genes network.

resultsWe identified a total of 21 DECs, including 6 upregulated DECs and 15 downregulated DECs. After further analysis, we obtained a circRNA-miRNA-mRNA regulatory network consisting of 11 DECs, 9 target miRNAs and 410 target genes, and a PPI network. Finally, the potential novel genes of autophagy in AF were revealed by bioinformatics analysis.

conclusionThis study could explore the potential role of circRNA, autophagy-related genes and construct the circRNA-miRNA-mRNA regulation network in AF.

Indexed as

atrial fibrillationautophagybioinformatics analysisceRNAcircular RNA

Identifiers

PMID34848999
PMCPMC8612294
OpenAlexW3216867886

What OpenQuestion holds

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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.