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基于生物信息学分析的局灶性皮质发育不良的发病机制和治疗靶点。

Pathogenesis and Therapeutic Targets of Focal Cortical Dysplasia Based on Bioinformatics Analysis.

机构信息

Department of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.

出版信息

Neurochem Res. 2022 Nov;47(11):3506-3521. doi: 10.1007/s11064-022-03715-9. Epub 2022 Aug 9.

DOI:10.1007/s11064-022-03715-9
PMID:35945307
Abstract

Focal cortical dysplasia (FCD), a malformation of cortical development, is the most common cause of intractable epilepsy in children. However, the causes and underlying molecular events of FCD need further investigation. The microarray dataset GSE62019 and GSE97365 were obtained from Gene Expression Omnibus. To examine critical genes and signaling pathways, bioinformatics analysis tools such as protein-protein interaction (PPI) networks, miRNA-mRNA interaction networks, and immune infiltration in FCD samples were used to fully elucidate the pathogenesis of FCD. A total of 534 differentially expressed genes (DEGs) and 71 differentially expressed miRNAs (DEMs) were obtained. The DEGs obtained were enriched in ribosomal, protein targeting, and pathways of neurodegeneration multiple diseases, whereas the target genes of DEMs were enriched in signaling pathways such as transforming growth factor beta, Wnt, PI3K-Akt, etc. Finally, four hub genes (RPL11, FAU, RPS20, RPL27) and five key miRNAs (hsa-let-7b, hsa-miR-185, hsa-miR-23b, hsa-miR-222 and hsa-miR-92b) were obtained by PPI network, miRNA-mRNA network, and ROC analysis. The immune infiltration results showed that the infiltration levels of five immune cells (MDSC, regulatory T cells, activated CD8 T cells, macrophage and effector memory CD8 T cells) were slightly higher in FCD samples than in control samples. Moreover, the gene expressions of RPS19, RPL19, and RPS24 were highly correlated with the infiltration levels and immune characteristics of 28 immune cells. It broadens the understanding of the molecular mechanisms underlying the development of FCD and enlightens the identification of molecular targets and diagnostic biomarkers for FCD.

摘要

局灶性皮质发育不良(FCD)是皮质发育畸形,是儿童难治性癫痫的最常见原因。然而,FCD 的病因和潜在的分子事件需要进一步研究。微阵列数据集 GSE62019 和 GSE97365 从基因表达综合数据库中获得。为了研究关键基因和信号通路,使用蛋白质-蛋白质相互作用(PPI)网络、miRNA-mRNA 相互作用网络和 FCD 样本中的免疫浸润等生物信息学分析工具,全面阐明 FCD 的发病机制。共获得 534 个差异表达基因(DEGs)和 71 个差异表达 miRNA(DEMs)。获得的 DEGs 富集在核糖体、蛋白质靶向和神经退行性疾病多途径中,而 DEMs 的靶基因富集在转化生长因子β、Wnt、PI3K-Akt 等信号通路中。最后,通过 PPI 网络、miRNA-mRNA 网络和 ROC 分析,获得了 4 个枢纽基因(RPL11、FAU、RPS20、RPL27)和 5 个关键 miRNA(hsa-let-7b、hsa-miR-185、hsa-miR-23b、hsa-miR-222 和 hsa-miR-92b)。免疫浸润结果表明,FCD 样本中五种免疫细胞(MDSC、调节性 T 细胞、激活的 CD8 T 细胞、巨噬细胞和效应记忆 CD8 T 细胞)的浸润水平略高于对照样本。此外,RPS19、RPL19 和 RPS24 的基因表达与 28 种免疫细胞的浸润水平和免疫特征高度相关。这拓宽了对 FCD 发生发展分子机制的认识,为 FCD 的分子靶点和诊断生物标志物的识别提供了启示。

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