Evidence map›Paper›PMID 36435743›Full record

ArticleBMC cardiovascular disorders2022

Candidate genes and their alternative splicing may be potential biomarkers of acute myocardial infarction: a study of mouse model.

Xuemei Liu, Pengyi He, Ze Zhang, Pengfei Gong, Yunxia Niu, Zhen Bao, Yuchun Yang, Lin Gan, Muhuyati

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cardiovascular disorders, 2022. 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
0.9field-weighted citation impact, top 28% 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, 11 citations in OpenAlex.

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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 2 countries.

Xuemei Liu *The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Pengyi He *The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Ze ZhangThe First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Pengfei GongThe First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Yunxia NiuThe First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Zhen BaoThe First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Yuchun YangThe First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Lin GanFaculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia.
MuhuyatiThe First Affiliated Hospital of Xinjiang Medical University, Urumqi, China. mhyt567@163.com.ORCID 0000-0002-9379-1862
Xinjiang Medical University · CNMacquarie University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute myocardial infarction (AMI) is one of the leading causes of death in human being, and an effective diagnostic biomarker is still lacking. Whilst some gene association with AMI has been identified by RNA sequencing (RNA-seq), the relationship between alternative splicing and AMI is not clear.

methodsWe retrieved myocardial tissues within 24 h from mice with induced AMI and sham, and analysed the differentially expressed genes (DEGs) and differential alternative splicing genes (DASGs) by RNA-seq. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and protein interaction network analysis were performed on DEGs-DASGs-overlap genes. PCR was used to verify the expression levels of representative genes and alternative splicing in myocardial tissues of AMI and sham mice.

results1367 DEGs were identified, including 242 up-regulated and 1125 down-regulated genes, among which there were 42 DASGs. GO analysis showed that the cellular component was primarily enriched in plasma membrane, cell membrane integrity and extracellular region. The molecular function was enriched in protein binding and metal ion binding. The biological process was primarily enriched in cell adhesion, immune system process and cell differentiation. KEGG analysis showed the enrichment was mainly in JAK-STAT and PI3K-AKT signalling pathway. Postn, Fhl1, and Fn1 were low-expressed while Postn alternative splicing was high-expressed in myocardial tissue of AMI mice, which was consistent with sequencing results.

conclusionsThe pathogenesis of AMI involves differentially expressed genes and differential alternative splicing. These differentially expressed genes and their alternative splicing, especially, Fhl1, Fn1 and Postn may become new biomarkers of AMI.

Indexed as

Alternative SplicingMyocardial InfarctionAnimalsBiomarkersDisease Models, AnimalHumansIntracellular Signaling Peptides and ProteinsLIM Domain ProteinsMiceMuscle ProteinsPhosphatidylinositol 3-KinasesProtein Interaction MapsBiomarkersFHL1 protein, humanFhl1 protein, mouseIntracellular Signaling Peptides and ProteinsLIM Domain ProteinsMuscle ProteinsPhosphatidylinositol 3-KinasesAcute myocardial infarctionAlternative splicingBiomarkersGeneRNA sequencing

Identifiers

PMID36435743
PMCPMC9701406
OpenAlexW4310296355

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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.