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缺血性卒中铁死亡相关基因的鉴定和验证及其对外周免疫格局的影响
Authors Chen Y, Zhu Y, Huang C, Qu Y, Zhu Y
Received 15 August 2024
Accepted for publication 5 December 2024
Published 19 December 2024 Volume 2024:17 Pages 6377—6392
DOI https://doi.org/10.2147/IJGM.S485612
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Redoy Ranjan
Yan Chen,1,* Yanmei Zhu,1,* Cong Huang,2 Youyang Qu,1 Yulan Zhu1
1Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150080, People’s Republic of China; 2Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150080, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Yulan Zhu, Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, No. 246, Xuefu Road, Nangang District, Harbin, Heilongjiang, 150081, People’s Republic of China, Email ylz1111@outlook.com
Background: 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.
Methods: 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.
Results: 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.
Conclusion: This study successfully identified ferroptosis-related genes in ischemic stroke, offering insights that could contribute to the formulation of future comprehensive treatment approaches.
Keywords: Ischemic Stroke, Ferroptosis Related Genes, Peripheral Immune Landscape