Evidence map›Paper›PMID 37119187›Full record

ArticleAnatolian journal of cardiology2023

Screening of Biomarkers Related to Myocardial Infarction Based on the Construction of a ceRNA Regulation Network.

Pingwei Ma, Jianfeng Li, Ming Cheng

Open access · diamondAbstract read
In one paragraph

Article in Anatolian journal of cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

3 authors at 1 institution in 1 country.

Pingwei MaDepartment of Intensive Care Unit, The Second Affiliated Hospital of Harbin Medical University, China.
Jianfeng LiDepartment of Intensive Care Unit, The Second Affiliated Hospital of Harbin Medical University, China.
Ming ChengDepartment of Cardiac Surgery, The Second Affiliated Hospital of Harbin Medical University, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to identify the biomarkers related to myocardial infarction based on building lncRNA-miRNA-mRNA ceRNA regulation network.

methodsThe expression profile data were obtained from the Gene Expression Omnibus database. The differentially expressed RNAs (DElncRNAs, DEmiRNAs, and DEmRNAs) were analyzed using the limma package of R. In addition, the differential myocardial infarction-related genes were obtained and the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway on the differential myocardial infarction-related genes were analyzed. The co-expression network of lncRNA-mRNA was constructed, and the Kyoto Encyclopedia of Genes and Genomes pathway of such a co-expression network was analyzed. Moreover, the lncRNA-miRNA-mRNA ceRNA network associated with myocardial infarction was built, and the key biomarkers of the ceRNA network were verified using the GSE141512 and GSE66752 datasets.

resultsIn total, we acquired 51 DElncRNAs, 276 DEmiRNAs, and 1200 DEmRNAs as well as 291 differential myocardial infarction-related genes. Moreover, the co-expression network of lncRNA-mRNA was built, and mRNAs were found to be associated with 109 Kyoto Encyclopedia of Genes and Genomes pathways (the target gene of RP3-394A18.1 was significantly related to lipid and atherosclerosis). In addition, the ceRNA network related to myocardial infarction was constructed, and the dataset analyses of the RNAs were validated between the myocardial infarction and normal groups. It was also found that the expression levels of hsa-miR-1291 and Retinoid acid receptor-related orphan receptor α (RORA) in the myocardial infarction group were noticeably lower than those in the normal group, whereas the expression levels of ENTPD1, QSOX1, and TIMP2 in the myocardial infarction group were noticeably higher than those in the normal group.

conclusionIn this study, we built a ceRNA regulation network of myocardial infarction. This study could help identify the biomarkers related to myocardial infarction.

Indexed as

MicroRNAsMyocardial InfarctionRNA, Long NoncodingBiomarkersGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansRNA, MessengerBiomarkersMicroRNAsRNA, Long NoncodingRNA, Messenger

Identifiers

PMID37119187
PMCPMC10160844
OpenAlexW4367553217

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.