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Peripheral blood gene expression signatures associated with epilepsy and its etiologic classification

机译:外周血基因表达签名与癫痫相关及其病因分类

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摘要

Heterogeneity in epilepsy often interferes with its diagnosis as well as treatment. To examine this heterogeneity at transcriptomic level, we performed whole-genome mRNA expression profiling in whole blood samples from 34 patients with epilepsy (PWE) (idiopathic, n = 13; cryptogenic, n = 9; and symptomatic, n = 12) and 41 healthy controls (HC) using Illumina HT-12 Expression Beadchip v4 microarray. In silico analysis using R software identified 165 genes to be significantly differentially expressed in PWE compared to HC (fold change > 1.3, p < 0.05). Hierarchical clustering of resultant DEGs segregated idiopathic epilepsy from the rest of the epilepsy classes as well as HC. The class also displayed the most differential expression pattern with the highest number of DEGs among the three epilepsy classes. Gene ontology analysis revealed several biologically relevant inflammatory and other immune-related pathways. Our study provides insight into the relevance of altered blood gene expression patterns in understanding epilepsy and its etiologic classes.
机译:癫痫中的异质性经常干扰其诊断以及治疗。为了在转录组水平下检查这种异质性,我们在34例癫痫患者(特发性,N = 13患者中,对全血样品进行全基因组mRNA表达分析(特发性,N = 13;密码源性,n = 9;和症状,n = 12)和41使用Illumina HT-12表达Beadchip V4微阵列的健康对照(HC)。在使用R软件的硅分析中,与HC(折叠变化> 1.3,P <0.05)相比,使用R软件鉴定165个基因在PWS中显着表达。结果DEGS的分层聚类从癫痫课程的其余部分和HC中分离了特发性癫痫症。该类还显示了三个癫痫类中最多的差异表达式模式。基因本体分析显示了几种生物学相关的炎症和其他免疫相关途径。我们的研究提供了探讨了血基因表达模式在理解癫痫及其病因课程中的相关性的相关性。

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