Evidence map›Paper›PMID 39070220›Full record

ArticleInternational journal of general medicine2024

Identification and Validation of Diagnostic Model Based on Angiogenesis- and Epithelial Mesenchymal Transition-Related Genes in Myocardial Infarction.

Zhengmei Li, Shiai Wang, Xunli Yin, Dong Tao, Xuebing Wang, Junli Zhang

Abstract read
In one paragraph

Article in International journal of general medicine, 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
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

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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.

  1. 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

6 authors.

Zhengmei LiSchool of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, People's Republic of China.
Shiai WangDepartment of Cardiovascular Medicine, The Seventh People's Hospital of Jinan, Jinan, Shandong, People's Republic of China.
Xunli YinDepartment of Cardiovascular Medicine, The Seventh People's Hospital of Jinan, Jinan, Shandong, People's Republic of China.
Dong TaoDepartment of Cardiovascular Medicine, The Seventh People's Hospital of Jinan, Jinan, Shandong, People's Republic of China.
Xuebing WangDepartment of Cardiovascular Medicine, The Seventh People's Hospital of Jinan, Jinan, Shandong, People's Republic of China.
Junli ZhangDepartment of Emergency Medicine, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Myocardial infarction (MI) is a chronic cardiovascular disease. This study aims to discern potentially angiogenesis- and epithelial mesenchymal transition (EMT)-related genes as biomarkers for MI diagnosis through bioinformatics. Methods: All datasets and angiogenesis- and EMT-related genes were collected from the public database. The differentially expressed genes (DEGs) of MI and MI-related genes were acquired. DEGs, MI-related genes, and angiogenesis- and EMT-related genes were intersected to obtain hub genes. Functional enrichment, immune microenvironment, and transcription factors (TFs)-hub genes regulatory network analysis were performed. The diagnostic markers and models were developed and validated. Drug prediction and molecular docking were performed. Finally, diagnostic markers expressions were validated using RT-qPCR. Results: A total of 224 angiogenesis- and EMT-related genes, 2,897 DEGs, 1,217 MI-related genes, and 9 hub genes were acquired. The immune infiltration levels of plasma cells, T cells CD4 memory activated, monocytes, macrophages M0, mast cells resting, and neutrophils were higher in patients with MI. LRPAP1, COLGALT1, QSOX1, THBD, VCAN, PLOD1, and PLAUR as the diagnostic markers were identified and used to construct diagnostic models, which can distinguish MI from controls well. Then, 9 drugs were screened, and the binding energies ranged from -7.08 to -5.21 kcal/mol. RT-qPCR results showed that the expression of LRPAP1, PLAUR, and PLOD1 was significantly increased in the MI group. Conclusion: The 7 diagnostic markers may play potential roles in MI and could contribute to improved future diagnostics.

Indexed as

angiogenesisdiagnostic markersepithelial mesenchymal transitionmyocardial infarction

Identifiers

PMID39070220
PMCPMC11283268

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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.