Evidence map›Paper›PMID 40575177›Full record

ArticleAmerican heart journal plus : cardiology research and practice2025

Early diagnosis of acute myocardial infarction via hub genes identified by integrated weighted gene co-expression network analysis.

Kun Huang, Feng Wen, Jingyi Li, Wenhao Niu, Hui Chen, Shilei Wan, Fupeng Yang, Yihong Chen, Chun Liang

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Article in American heart journal plus : cardiology research and practice, 2025. 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Kun HuangDepartment of Cardiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China.
Feng WenDepartment of Cardiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China.
Jingyi LiDepartment of Cardiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China.
Wenhao NiuDepartment of Cardiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China.
Hui ChenDepartment of Cardiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China.
Shilei WanDepartment of Cardiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China.
Fupeng YangDepartment of Cardiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China.
Yihong ChenDepartment of Cardiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China.
Chun LiangDepartment of Cardiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute myocardial infarction (AMI) is a leading cause of morbidity and mortality worldwide. Circulating endothelial cells (CECs) have been reported to be involved with the early stages of AMI. The specific objective of our study was to discover early diagnostic markers of CECs in circulation using bioinformatics analysis. Methods: Raw microarray data of the GSE66360 dataset were acquired from the Gene Expression Omnibus (GEO) database. The R software was used to filtrate differentially expressed genes (DEGs) from the discovery cohort of GSE66360 ( Results: 366 DEGs were identified (20 upregulated and 306 downregulated). A total of 276 intersecting genes were markedly associated with AMI in the pink and turquoise modules. Based on multiple machine learning algorithms and independent validation, six genes including LILRA1, CCL20, IL1R2, TYROBP, CXCL16 and NFKBIA were identified as hub genes and showed satisfactory diagnostic efficiency both in the discovery cohort and validation cohort. Conclusion: Our data provides evidence supporting a list of six hub genes to be trapped in the pathophysiology of AMI and proposes them as candidate biomarkers for the early diagnosis of AMI.

Indexed as

Acute myocardial infarctionCirculating endothelial cellsHub genesMachine learningWGCNA

Identifiers

PMID40575177
PMCPMC12197887

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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.