Evidence map›Paper›PMID 40696650›Full record

ArticleMedicine2025

Bioinformatics analysis of glycolysis-related differentially expressed genes (GRDEGs) and their significance in ischemic stroke.

Yannan Che, Xuxin Sun, Linhua Liu, Ling Peng, Yanshan Weng, Shaohui Du

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

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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

6 authors.

Yannan CheThe Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.ORCID 0000-0003-0685-0615
Xuxin SunThe Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.
Linhua LiuShenzhen Institute for Drug Control, Shenzhen, China.
Ling PengThe Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.
Yanshan WengThe Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.
Shaohui DuThe Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.ORCID 0000-0002-0247-6112

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of ischemic stroke (IS) is escalating rapidly, and glycolysis significantly influences the pathogenesis and prognosis of these patients. However, current methods for assessing this are insufficient. This study aimed to identify molecular biomarkers of glycolysis in patients with IS. We retrieved relevant data from the Gene Expression Omnibus database and identified differentially expressed genes (DEGs). Gene set enrichment analysis was conducted on all genes within the integrated Gene Expression Omnibus dataset. Glycolysis-related differentially expressed genes (GRDEGs) were subjected to gene ontology and pathway analysis (Kyoto Encyclopedia of Genes and Genomes) to determine the functions of DEGs. The protein-protein interaction network of GRDEGs was established using the STRING database. The miRNAs of glycolysis-associated hub genes were acquired from the StarBase and miRDB databases, followed by an analysis of the relationship between glycolysis-related core genes and miRNAs. The mRNA-miRNA regulatory network was visualized. Lastly, a cross-comparison of immune-related genes and GRDEGs in IS was conducted to compare immune cell infiltration between the 2 groups. In the IS group, there were 42 up-regulated genes, 73 down-regulated genes, and 27 GRDEGs compared with the control group. These genes are involved in regulating various biological processes and signaling pathways. The protein-protein interaction network identified 7 hub genes related to glycolysis, including C-C motif chemokine receptor 7, ribosomal protein S3, and ribosomal protein SA, which also have immune correlations. Ribosomal protein SA, ribosomal protein S3, eukaryotic translation elongation factor 1 gamma, CD163, arginase 1, C-C motif chemokine receptor 7, and matrix metallopeptidase 9 are the hub genes related to glycolysis in IS. Our research will contribute to the discovery of potential biomarkers and fresh approaches to the clinical management of IS.

Indexed as

GlycolysisIschemic StrokeComputational BiologyDatabases, GeneticGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansMicroRNAsProtein Interaction MapsMicroRNAsbioinformatics analysisdifferentially expressed genesglycolysisischemic stroke

Identifiers

PMID40696650
PMCPMC12282749

What Socratic holds

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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 Socratic graph.