Evidence map›Paper›PMID 31269974›Full record

ArticleEuropean journal of medical research2019

Identification of key genes involved in myocardial infarction.

Linlin Qiu, Xueqing Liu

Abstract read
In one paragraph

Article in European journal of medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
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

25 citing papers in PubMed.

  1. Predicting diagnostic gene biomarkers associated with immune infiltration in patients with diabetes.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
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  8. Knockout mouse models as a resource for the study of rare diseases.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
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  11. Peiminine inhibits myocardial injury and fibrosis after myocardial infarction in rats by regulating mitogen-activated protein kinase pathway.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2022
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  17. NR4A3 and CCL20 clusters dominate the genetic networks in CD146European journal of medical research · 2021
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  19. JDP2, a Novel Molecular Key in Heart Failure and Atrial Fibrillation?International journal of molecular sciences · 2021
    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

2 authors.

Linlin QiuDanyang People's Hospital of Jiangsu Province, Danyang, China.
Xueqing LiuDanyang People's Hospital of Jiangsu Province, Danyang, China. liuxueqingjs@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study focuses on the identification of conserved genes involved in myocardial infarction (MI), and then analyzed the differentially expressed genes (DEGs) between the incident and recurrent events to identify MI-recurrent biomarkers.

methodsGene expression data of MI peripheral blood were downloaded from GSE97320 and GSE66360 datasets. We identified the common DEGs in these two datasets by functional enrichment analysis and protein-protein interaction (PPI) network analysis. GSE48060 was further analyzed to validate the conserved genes in MI and to compare the DEGs between the incident and recurrent MI.

resultsA total of 477 conserved genes were identified in the comparison between MI and control. Protein-protein interaction (PPI) network showed hub genes, such as MAPK14, STAT3, and MAPKAPK2. Part of those conserved genes was validated in the analysis of GSE48060. The DEGs in the incident and recurrent MI showed significant differences, including RNASE2 and A2M-AS1 as the potential biomarkers of MI recurrence.

conclusionsThe conserved genes in the pathogenesis of MI were identified, benefit for target therapy. Meanwhile, some specific genes may be used as markers for the prediction of recurrent MI.

Indexed as

Genetic Predisposition to DiseaseCase-Control StudiesConserved SequenceDatabases, GeneticGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansMyocardial InfarctionProtein Interaction MappingReproducibility of ResultsBiomarkersGene expression differencesIncidentMyocardial infarctionRecurrent

Identifiers

PMID31269974
PMCPMC6607516

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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.