Evidence map›Paper›PMID 33511207›Full record

ArticleBioMed research international2021

Comprehensive Analysis of ceRNA Regulation Network Involved in the Development of Coronary Artery Disease.

Jiabei He, Xinglong Li, Yao Zhang, Qingqing Zhang, Lianhong Li

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 36% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Bioinformatics Analysis of ceRNA Network Related to Polycystic Ovarian Syndrome.Computational and mathematical methods in medicine · 2021
    Article
  8. Article
  9. Clinical Value and Potential Molecular Mechanism of miR-373-3p in Coronary Atherosclerosis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

5 authors at 1 institution in 1 country.

Jiabei HeDepartment of Pathology and Forensic Medicine, Dalian Medical University, Dalian 116044, China.ORCID https://orcid.org/0000-0003-3110-7508
Xinglong LiDepartment of Pathology and Forensic Medicine, Dalian Medical University, Dalian 116044, China.ORCID https://orcid.org/0000-0003-1656-7370
Yao ZhangDepartment of Pathology and Forensic Medicine, Dalian Medical University, Dalian 116044, China.ORCID https://orcid.org/0000-0002-2912-3915
Qingqing ZhangDepartment of Pathology and Forensic Medicine, Dalian Medical University, Dalian 116044, China.ORCID https://orcid.org/0000-0002-0950-6580
Lianhong LiDepartment of Pathology and Forensic Medicine, Dalian Medical University, Dalian 116044, China.ORCID https://orcid.org/0000-0001-8990-9349
Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronary artery disease (CAD) is one of the most common causes of sudden death with high morbidity in recent years. This paper is aimed at exploring the early peripheral blood biomarkers of sudden death and providing a new perspective for clinical diagnosis and forensic pathology identification by integrated bioinformatics analysis.

methodsTwo microarray expression profiling datasets (GSE113079 and GSE31568) were downloaded from the Gene Expression Omnibus (GEO) database, and we identified differentially expressed lncRNAs, miRNAs, and mRNAs in CAD. Gene Ontology (GO) and KEGG pathway analyses of DEmRNAs were executed. A protein-protein interaction (PPI) network was constructed, and hub genes were identified. Finally, we constructed a competitive endogenous RNA (ceRNA) regulation network among lncRNAs, miRNAs, and mRNAs. Also, the 5 miRNAs of the ceRNA network were verified by RT-PCR.

resultsIn total, 86 DElncRNAs, 148 DEmiRNAs, and 294 DEmRNAs were dysregulated in CAD. We received 12 GO terms and 5 pathways of DEmRNAs. 31 nodes and 78 edges were revealed in the PPI network. The top 10 genes calculated by degree method were identified as hub genes. Moreover, there were a total of 26 DElncRNAs, 5 DEmiRNAs, and 13 DEmRNAs in the ceRNA regulation network. We validated the 5 miRNAs of the ceRNA network by RT-PCR, which were consistent with the results of the microarray.

conclusionsIn this paper, a CAD-specific ceRNA network was successfully constructed, contributing to the understanding of the relationship among lncRNAs, miRNAs, and mRNAs. We identified potential peripheral blood biomarkers in CAD and provided novel insights into the development and progress of CAD.

Indexed as

Gene Regulatory NetworksComputational BiologyCoronary Artery DiseaseGene Expression RegulationGene OntologyGenetic MarkersHumansMicroRNAsOligonucleotide Array Sequence AnalysisProtein Interaction MapsRNA, Long NoncodingRNA, MessengerGenetic MarkersMicroRNAsRNA, Long NoncodingRNA, Messenger

Identifiers

PMID33511207
PMCPMC7822659
OpenAlexW3120643005

What OpenQuestion holds

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LicenceCC BY
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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.