Evidence map›Paper›PMID 41170011›Full record

ArticleCardiology research2025

Glycolysis-Related Genes,

Yu Zhang, Hui Min Jia, Fu Xiang An, Xin Ru Wang, Mei Zhu Yan, Fu Li Liu, Bao Bao Feng, Hong Jun Bian

Abstract read
In one paragraph

Article in Cardiology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Yu ZhangDepartment of Emergency Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China.
Hui Min JiaDepartment of Emergency Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China.
Fu Xiang AnDepartment of Emergency Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China.
Xin Ru WangDepartment of Emergency Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China.
Mei Zhu YanDepartment of Emergency Medicine, Jinqiu Hospital of Liaoning Province, Shenyang, Liaoning 110016, China.
Fu Li LiuDepartment of Emergency Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China.
Bao Bao FengDepartment of Emergency Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China.
Hong Jun BianDepartment of Emergency Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute myocardial infarction (AMI) is one of the most severe forms of acute coronary syndrome. During myocardial ischemia, cardiac glycogen is metabolized through glycolysis, which becomes the primary source of ATP. The genetic regulation of glycolysis is well established, yet its contribution to AMI pathogenesis remains poorly understood. This study aimed to use bioinformatics approaches to identify glycolysis-related genes (GRGs) associated with AMI, providing a foundation for their potential applications as molecular markers and therapeutic targets. Methods: GRGs were retrieved from the GeneCards database. Weighted gene co-expression network analysis (WGCNA) was applied to the GSE66360 dataset to identify hub genes, which were validated by the Wilcoxon rank-sum test and the receiver operating characteristic (ROC) curve analysis. Immune cell infiltration and its association with hub gene expression in AMI were further examined using the CIBERSORT algorithm. Results: Analysis of the GSE66360 dataset identified 695 differentially expressed genes (DEGs). Gene set enrichment analysis (GSEA) indicated that these genes may contribute to AMI pathogenesis by regulating cellular energy metabolism. Intersecting DEGs with GRGs yielded 31 differentially expressed glycolysis-related genes (DEGRGs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses suggested that DEGRGs may influence AMI development by modulating immune cell function and immune response status. Construction of a protein-protein interaction (PPI) network identified seven hub genes, all of which demonstrated diagnostic performance in GSE66360 based on the ROC analysis. Validation in the independent dataset GSE59867 confirmed two hub genes with diagnostic potential. Immune infiltration analysis further revealed that these two hub genes were significantly associated with multiple types of immune cells. Conclusion: Two GRGs,

Indexed as

Acute myocardial infarctionBioinformaticsEnergy metabolismGlycolysisImmune infiltration

Identifiers

PMID41170011
PMCPMC12571123

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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.