Identification and Validation of Ferroptosis Related Genes in Ischemic Stroke and Its Effect on the Peripheral Immune Landscape

This research utilized a combination of gene databases associated with ferroptosis and online gene expression data from ischemic stroke samples to pinpoint ferroptosis-related genes (FRGs) in ischemic stroke cases. By employing Random Forest (RF) and Support Vector Machine (SVM) models based on thes...

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Bibliographic Details
Published in:International journal of general medicine 2024-01, Vol.17, p.6377-6392
Main Authors: Chen, Yan, Zhu, Yanmei, Huang, Cong, Qu, Youyang, Zhu, Yulan
Format: Article
Language:English
Subjects:
Accuracy
Anopheles
Cell death
Cluster analysis
Datasets
Ferroptosis
ferroptosis related genes
Gene expression
Genes
Genomes
Inflammation
Ischemia
ischemic stroke
Nomograms
Ontology
Original Research
peripheral immune landscape
Regression analysis
Software
Stroke
Stroke (Disease)
Stroke patients
Support vector machines
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Summary:This research utilized a combination of gene databases associated with ferroptosis and online gene expression data from ischemic stroke samples to pinpoint ferroptosis-related genes (FRGs) in ischemic stroke cases. By employing Random Forest (RF) and Support Vector Machine (SVM) models based on these genes, an overlap of genes from both models was identified as "Hub" genes. Through consensus clustering analysis using Hub genes, two distinct clusters of FRGs were revealed in ischemic stroke samples. Examination of the correlation between these molecular subtypes and the immune microenvironment highlighted a close link between gene expression levels and immune cell infiltration. Significantly different gene expression and functions within the FRG clusters underscored the pivotal role of Hub genes in the immune microenvironment. A gene diagnostic model related to ferroptosis was developed and validated to elucidate the significance of the identified genes. The results demonstrated that the Hub gene-based classification model effectively differentiated between ischemic stroke patients and normal samples, achieving an AUC of 0.900, signifying clinical relevance. This study successfully identified ferroptosis-related genes in ischemic stroke, offering insights that could contribute to the formulation of future comprehensive treatment approaches.
ISSN:1178-7074
1178-7074
DOI:10.2147/IJGM.S485612