Genetic markers associated with ferroptosis in Alzheimer’s disease

Yuting Sun, Yu Xiao, Qin Tang, Wei Chen, Lu Lin
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Abstract

Ferroptosis is implicated in the pathogenesis of neurodegenerative disorders such as Alzheimer’s disease, Parkinson’s disease, and vascular dementia, implying that it may have a regulatory effect on the progression of these diseases. However, the specific role of ferroptosis-related genes (FRGs) in Alzheimer’s disease (AD) is not yet fully understood. The aim of the study was to detect ferroptosis related genes with regulatory functions in the disease and explore potential mechanisms in AD.Hub FRGs were obtained through multiple algorithms based on the GSE5281 dataset. The screening process was implemented by R packages including limma, WGCNA, glm and SVM-RFE. Gene Ontology classification and pathway enrichment analysis were performed based on FRGs. Biological processes involved with hub FRGs were investigated through GSVA and GSEA methods. Immune infiltration analysis was performed by the R package CIBERSORT. Receiver operating characteristic curve (ROC) was utilized to validate the accuracy of hub FRGs. The CeRNA network attempted to find non-coding RNA transcripts which may play a role in disease progression.DDIT4, MUC1, KLHL24, CD44, and RB1 were identified as hub FRGs. As later revealed by enrichment analysis, the hub FRGs had important effects on AD through involvement in diverse AD pathogenesis-related pathways such as autophagy and glutathione metabolism. The immune microenvironment in AD shows increased numbers of resting NK cells, macrophages, and mast cells, with decreased levels of CD8 T cells when compared to healthy samples. Regulatory T cells were positively correlated with MUC1, KLHL24, and DDIT4 expression, while RB1 showed negative correlations with eosinophils and CD8 T cells, suggesting potential roles in modulating the immune environment in AD.Our research has identified five hub FRGs in AD. We concluded that ferroptosis may be involved in the disease.
与阿尔茨海默病铁蛋白沉积症相关的遗传标记
铁蛋白沉积与阿尔茨海默病、帕金森病和血管性痴呆等神经退行性疾病的发病机制有关,这意味着铁蛋白沉积可能对这些疾病的进展具有调节作用。然而,铁蛋白沉积相关基因(FRGs)在阿尔茨海默病(AD)中的具体作用尚未完全明了。本研究的目的是检测在疾病中具有调控功能的铁蛋白沉积相关基因,并探索其在阿尔茨海默病中的潜在机制。筛选过程由R软件包实现,包括limma、WGCNA、glm和SVM-RFE。根据 FRGs 进行了基因本体分类和通路富集分析。通过 GSVA 和 GSEA 方法研究了枢纽 FRGs 所涉及的生物过程。免疫浸润分析由 R 软件包 CIBERSORT 进行。利用接收者操作特征曲线(ROC)验证了中心FRGs的准确性。CeRNA网络试图找到可能在疾病进展中发挥作用的非编码RNA转录本。DDIT4、MUC1、KLHL24、CD44和RB1被确定为中心FRGs。随后的富集分析表明,这些中心FRGs通过参与自噬和谷胱甘肽代谢等多种与AD发病机制相关的通路,对AD产生了重要影响。与健康样本相比,AD 的免疫微环境显示静息 NK 细胞、巨噬细胞和肥大细胞的数量增加,而 CD8 T 细胞的水平下降。调节性T细胞与MUC1、KLHL24和DDIT4的表达呈正相关,而RB1与嗜酸性粒细胞和CD8 T细胞呈负相关,这表明RB1在调节AD的免疫环境中具有潜在作用。我们的研究发现了AD中的五个枢纽FRGs,并得出结论:铁凋亡可能与该疾病有关。
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