Evidence map›Paper›PMID 33613625›Full record

ArticleFrontiers in genetics2020

Identification of Regulatory circRNAs Involved in the Pathogenesis of Acute Myocardial Infarction.

Cuimei Zhao, Jingjing Liu, Wen Ge, Zhi Li, Mengwei Lv, Yipeng Feng, Xuebo Liu, Ban Liu, Yangyang Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Circular RNAs as Novel Biomarkers and Application in Cardiovascular Diseases.Advances in experimental medicine and biology · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. The Landscape of Circular RNAs in Cardiovascular Diseases.International journal of molecular sciences · 2023
    Review
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  14. Review
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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

9 authors at 7 institutions in 1 country.

Cuimei ZhaoDepartment of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Jingjing LiuDepartment of Cardiology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
Wen GeDepartment of Cardiothoracic Surgery, Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai, China.
Zhi LiDepartment of Cardiovascular Surgery, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Mengwei LvShanghai East Hospital of Clinical Medical College, Nanjing Medical University, Shanghai, China.
Yipeng FengThe First Clinical Medical College, Nanjing Medical University, Nanjing, China.
Xuebo LiuDepartment of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Ban LiuDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Yangyang ZhangShanghai East Hospital of Clinical Medical College, Nanjing Medical University, Shanghai, China.
Nanjing Medical University · CNJiangsu Province Hospital · CNShanghai East Hospital · CNShanghai Tenth People's Hospital · CNShanghai University of Traditional Chinese Medicine · CNTongji Hospital · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute myocardial infarction (AMI) has high morbidity and mortality worldwide. However, the pathogenesis of AMI is still unclear, and the impact of circular RNAs (circRNAs) on AMI has rarely been recognized and needs to be explored. MATERIALS AND

methodsThe circRNA array was applied to investigate the expression level of circRNAs in the blood samples of coronary arteries of three AMI patients and three normal persons. Principal component analysis (PCA) and unsupervised clustering analysis were performed to reveal the distinguished expression patterns of circRNAs. The miRNA expression profiles of AMI patients were identified from a public dataset from the Gene Expression Omnibus (GEO) database (GSE31568). The miRNA binding sites on the circRNAs were predicted by miRanda. The miRNA enrichment analysis and annotation tool were used to explore the pathways that the dysregulated circRNAs may participate in.

resultsIn total, 142 differentially expressed circRNAs, including 89 upregulated and 53 downregulated in AMI samples, were identified by the differential expression analysis. AMI patients had quite different circRNA expression profiles to those of normal controls. Functional characterization revealed that circRNAs that had the potential to regulate miRNAs were mainly involved in seven pathways, such as the Runt-related transcription factor-1 (RUNX1) expression and activity-related pathway. Specifically, hsa_circRNA_001654, hsa_circRNA_091761, hsa_circRNA_405624, and hsa_circRNA_406698 were predicted to sponge four miRNAs including hsa-miR-491-3p, hsa-miR-646, hsa-miR-603, and hsa-miR-922, thereby regulating RUNX1 expression or activity.

conclusionWe identified dysregulated blood circRNAs in the coronary arteries of AMI patients and predicted that four upregulated circRNAs were involved in the regulation of RUNX1 expression or activity through sponging four miRNAs.

Indexed as

acute myocardial infarctioncircRNAfunctional characterizationmiRNArunt-related transcription factor-1

Identifiers

PMID33613625
PMCPMC7886988
OpenAlexW3127145475

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