Evidence map›Paper›PMID 32411772›Full record

ArticleAnnals of translational medicine2020

Comprehensive molecular characterization of circRNA-associated ceRNA network in constrictive pericarditis.

Yixin Chen, Feifei Sun, Yong Zhang, Guang Song, Wei Qiao, Ke Zhou, Sihua Ren, Qian Zhao, Weidong Ren

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. The Landscape of Circular RNAs in Cardiovascular Diseases.International journal of molecular sciences · 2023
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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 2 institutions in 1 country.

Yixin ChenDepartment of Ultrasound, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Feifei SunDepartment of Ultrasound, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Yong ZhangDepartment of Cardiovascular Surgery, General Hospital of Northern Military Area, Shenyang 110016, China.
Guang SongDepartment of Ultrasound, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Wei QiaoDepartment of Ultrasound, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Ke ZhouDepartment of Cardiac Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Sihua RenDepartment of Radiology, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.
Qian ZhaoDepartment of Pediatric Urology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Weidong RenDepartment of Ultrasound, Shengjing Hospital of China Medical University, Shenyang 110004, China.
China Medical University · CNGeneral Hospital of Shenyang Military Region · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAberrant gene expression occurs in almost all diseases including constrictive pericarditis (CP). However, the dysregulation of genes underlying the CP remains unclear. This study aims to investigate the potential molecular mechanisms underlying CP and screen hub genes critical for the pathogenesis of CP.

methodsDifferentially expressed mRNAs, miRNAs, lncRNAs and circRNAs in pericardial tissues were screened using RNA-seq in CP patients and controls. Furthermore, functional annotation analysis and protein-protein interaction (PPI) network were carried out to investigate the potential key pathways and identify hub genes in CP. Subsequently, a ceRNA network was established and the key circRNAs were determined by Gene Set Enrichment Analysis (GSEA). Finally, the corresponding RNA-seq results were confirmed and validated with a quantitative real time-PCR (qRT-PCR).

resultsFunctional annotation analysis revealed that differentially expressed mRNAs (DEMs) mainly participated in inflammatory response related pathways and the 10 top genes with the highest degree in PPI network were considered as the hub genes. In addition, a total of 377 regulatory relationships among the differentially expressed genes (DEGs) could be constructed, from which a subsequent ceRNA network was also established, while the circRNAs were further validated with qRT-PCR and the key biological pathways were identified using GSEA as well.

conclusionsThe genes determined to have altered expression levels in CP may participate in a number of biological signaling processes leading to inflammation and fibrosis frequently encountered in CP, and, therefore, our novel findings may provide an insight into the pathogenesis, molecular biomarkers, and potential therapeutic targets in CP.

Indexed as

bioinformaticscircRNAsConstrictive pericarditis (CP)fibrosisinflammation

Identifiers

PMID32411772
PMCPMC7214901
OpenAlexW3019593747

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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.