Evidence map›Paper›PMID 38445624›Full record

ArticleAnatolian journal of cardiology2024

Comprehensive Analysis of Key Endoplasmic Reticulum Stress-Related Genes and Immune Infiltrates in Stanford Type A Aortic Dissection.

Wei Zhou, Jun Nie, Dafa Zhang

Open access · diamondAbstract read
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Article in Anatolian journal of cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 91% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

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4 · The record

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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.

Wei ZhouDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
Jun NieDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
Dafa ZhangDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
First Affiliated Hospital of Wannan Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType A aortic dissection is a fatal disease. However, the role of endoplasmic reticulum stress-related genes (ERSRGs) in type A aortic dissection has not yet been fully clarified.

methodsDifferentially expressed genes in the aorta of type A aortic dissection patients were analyzed based on the GSE52093 database. The ERSRGs were downloaded from the GeneCards website. Functional enrichment analysis and protein-protein interaction analysis were performed on the acquired differentially expressed ERSRGs. The mRNA expression of the 5 top key differentially expressed ERSRGs was further explored in GSE153434 and clinical samples. Immune infiltration correlation analysis was performed on the validated key genes. Finally, we constructed regulatory networks of transcription factors, miRNAs, and chemicals.

resultsTwelve differentially expressed ERSRGs were identified, of which 8 genes were downregulated and 4 genes were upregulated. GeneMANIA was adopted to analyze these genes and their interacting proteins, and the results showed that the main function was calcium ion transport. Four key genes, ACTC1, CASQ2, SPP1, and REEP1, were validated in GSE153434 and clinical samples. The area under the ROC curve values for ACTC1, CASQ2, SPP1, and REEP1 were 0.92, 0.96, 0.89, and 1.00, respectively. ACTC1 and REEP1 correlated with multiple immune cells. Many transcription factors, microRNAs, and chemicals were identified with the potential to regulate these 4 key genes.

conclusionIn this study, we identified 12 differentially expressed ERSRGs by analyzing the Gene Expression Omnibus database. Four key genes may influence the development of type A aortic dissection by regulating endoplasmic reticulum stress. These results expand our understanding of type A aortic dissection, and the 4 key genes are expected to be diagnostic markers and potential therapeutic targets.

Identifiers

PMID38445624
PMCPMC11059230
OpenAlexW4394767758

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