Establishment of the Diagnostic Signature of Ferroptosis Genes in Multiple Sclerosis.

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Biochemical Genetics Pub Date : 2024-06-17 DOI:10.1007/s10528-024-10832-3
Yang Yang, Qianqian Bai, Fangfei Liu, Shumin Zhang, Wenchao Tang, Ling Liu, Zhehua Xing, Hao Wang, Chi Zhang, Yanhui Yang, Hua Fan
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Abstract

Ferroptosis is a novel form of membrane-dependent cell death that differs from other cell death modalities such as necrosis, apoptosis, and autophagy. Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system primarily affecting brain and spinal cord neurons. Although the pathogenesis of these two conditions may seem unrelated, recent studies have indicated a connection between ferroptosis and multiple sclerosis. In fact, ferroptosis plays a significant role in the development of MS, as evidenced by the presence of elevated iron levels and iron metabolism abnormalities in the brains, spinal cords, and other neurons of MS patients. These abnormalities disrupt iron homeostasis within cells, leading to the occurrence of ferroptosis. However, there is currently a lack of research on the diagnostic value of ferroptosis-related genes in multiple sclerosis. In this study, we employed bioinformatics methods to identify ferroptosis-related genes (ATM, GSK3B, HMGCR, KLF2, MAPK1, NFE2L1, NRAS, PCBP1, PIK3CA, RPL8, VDAC3) associated with the diagnosis of multiple sclerosis and constructed a diagnostic model. The results demonstrated that the diagnostic model accurately identified the patients' condition. Subsequently, subgroup analysis was performed based on the expression levels of ferroptosis-related genes, dividing patients into high and low expression groups. The results showed differences in immune function and immune cell infiltration between the two groups. Our study not only confirms the correlation between ferroptosis and multiple sclerosis but also demonstrates the diagnostic value of ferroptosis-related genes in the disease. This provides guidance for clinical practice and direction for further mechanistic research.

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建立多发性硬化症中铁蛋白沉积基因的诊断特征。
铁凋亡是一种新型的膜依赖性细胞死亡形式,它不同于坏死、细胞凋亡和自噬等其他细胞死亡方式。多发性硬化症(MS)是一种慢性中枢神经系统炎症性疾病,主要影响大脑和脊髓神经元。虽然这两种疾病的发病机理似乎并不相关,但最近的研究表明,铁蛋白沉积与多发性硬化症之间存在联系。事实上,多发性硬化症患者的大脑、脊髓和其他神经元中存在铁含量升高和铁代谢异常,这证明铁变态反应在多发性硬化症的发病过程中起着重要作用。这些异常现象破坏了细胞内的铁平衡,导致了铁变态反应的发生。然而,目前缺乏对多发性硬化症中与铁氧化相关基因诊断价值的研究。在这项研究中,我们采用生物信息学方法识别了与多发性硬化诊断相关的铁变态相关基因(ATM、GSK3B、HMGCR、KLF2、MAPK1、NFE2L1、NRAS、PCBP1、PIK3CA、RPL8、VDAC3),并构建了一个诊断模型。结果表明,诊断模型能准确识别患者的病情。随后,根据铁变态反应相关基因的表达水平进行了亚组分析,将患者分为高表达组和低表达组。结果显示,两组患者在免疫功能和免疫细胞浸润方面存在差异。我们的研究不仅证实了铁蛋白沉积症与多发性硬化症之间的相关性,还证明了铁蛋白沉积症相关基因在该疾病中的诊断价值。这为临床实践提供了指导,也为进一步的机理研究指明了方向。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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