Identification of potential key genes and immune infiltration in Multiple sclerosis

免疫系统 多发性硬化 CD8型 基因 免疫学 接收机工作特性 计算生物学 生物 发病机制 癌症研究 医学 遗传学 内科学
作者
Yang Liu,Yinglian Zhou,Hui Yue,Haitong Dou,Xinming Rang,Xin Wang,Chaohan Xu,Jin Fu
出处
期刊:Multiple sclerosis and related disorders [Elsevier BV]
卷期号:60: 103748-103748 被引量:1
标识
DOI:10.1016/j.msard.2022.103748
摘要

Multiple sclerosis (MS) is an extremely serious autoimmune disease of the nervous system. Extensive evidence indicated that immune system activation plays a crucial role in the development of MS. However, the exact mechanism of MS is still not well understood. Our objective was to identify potential key genes of Multiple sclerosis (MS) via bioinformatic analysis and apply CIBERSORT algorithms to calculate the proportion of infiltrating immune cells.The differentially expressed genes (DEGs) were analyzed from two public datasets, which included 99 MS, 45 controls and 133 MS, 79 controls. Then the common DEGs were obtained (p < 0.05). LASSO regression analysis was performed on common DEGs of GSE17048. The receiver operating characteristic (ROC) curves were created. The key genes were screened based on area under the receiver operating characteristic curve (AUC). CIBERSORT algorithms were used to explore the immune infiltration in MS.516 common DEGs were screened from two public datasets. And then 54 signature genes were obtained by constructing LASSO model. MS4A6A, CACNA1I, C9orf46, EIF4EBP2, SERTAD2, TGFBR2 and RAB34 with the largest AUC values were selected as the key genes. Neutrophils, Monocytes, resting memory CD4+ T cells, CD8+ T cells and resting NK cells accounted for a large proportion of infiltrating immune cells in MS.MS4A6A, CACNA1I, C9orf46, EIF4EBP2, SERTAD2, TGFBR2 and RAB34 may be closely related pathogenesis of MS, and may represent new candidate biomarkers. In addition, immune cell infiltration may also play an important role in the progression of MS.
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