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

IF 3.8 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Ying Kan, Lijuan Feng, Yukun Si, Ziang Zhou, Wei Wang, Jigang Yang
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引用次数: 1

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.

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
局灶性皮质发育不良(FCD)是一种皮质发育畸形,是儿童顽固性癫痫的最常见原因。然而,FCD的原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来自Gene Expression Omnibus。为了检测关键基因和信号通路,利用生物信息学分析工具,如蛋白质-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,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 (dem)。获得的deg富集于核糖体、蛋白靶向和神经退行性多发性疾病的通路,而dem的靶基因富集于转化生长因子β、Wnt、PI3K-Akt等信号通路。最后,通过PPI网络、miRNA-mRNA网络和ROC分析,获得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)。免疫浸润结果显示,FCD样品中5种免疫细胞(MDSC、调节性T细胞、活化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品。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性高度相关。它拓宽了对FCD发展的分子机制的理解,并为FCD的分子靶点和诊断生物标志物的鉴定提供了启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neurochemical Research
Neurochemical Research 医学-神经科学
CiteScore
7.70
自引率
2.30%
发文量
320
审稿时长
6 months
期刊介绍: Neurochemical Research is devoted to the rapid publication of studies that use neurochemical methodology in research on nervous system structure and function. The journal publishes original reports of experimental and clinical research results, perceptive reviews of significant problem areas in the neurosciences, brief comments of a methodological or interpretive nature, and research summaries conducted by leading scientists whose works are not readily available in English.
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