Department of (Neuro)pathology, Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Swammerdam Institute for Life Sciences, Center for Neuroscience, University of Amsterdam, Amsterdam, The Netherlands.
Epilepsia. 2024 Nov;65(11):3406-3420. doi: 10.1111/epi.18134. Epub 2024 Oct 1.
Structural epilepsies can manifest months or years after the occurrence of an initial epileptogenic insult, making them amenable for secondary prevention. However, development of preventive treatments has been challenged by a lack of biomarkers for identifying the subset of individuals with the highest risk of epilepsy after the epileptogenic insult.
Four different rat models of epileptogenesis were investigated to identify differentially expressed circulating microRNA (miRNA) and isomiR profiles as biomarkers for epileptogenesis. Plasma samples were collected on day 2 and day 9 during the latency period from animals that did or did not develop epilepsy during long-term video-electroencephalographic monitoring. miRNAs and isomiRs were identified and measured in an unsupervised manner, using a genome-wide small RNA sequencing platform. Receiver operating characteristic analysis was performed to determine the performance of putative biomarkers.
Two days after an epileptogenic insult, alterations in the levels of several plasma miRNAs and isomiRs predicted epileptogenesis in a model-specific manner. One miRNA, miR-3085, showed good sensitivity (but low specificity) as a prognostic biomarker for epileptogenesis in all four models (area under the curve = .729, sensitivity = 83%, specificity = 64%, p < .05).
Identified plasma miRNAs and isomiRs are mostly etiology-specific rather than common prognostic biomarkers of epileptogenesis. These data imply that in preclinical and clinical studies, it may be necessary to identify specific biomarkers for different epilepsy etiologies. Importantly, circulating miRNAs like miR-3085 with high negative predictive value for epileptogenesis in different etiologies could be useful candidates for initial screening purposes of epileptogenesis risk.
结构型癫痫可能在初始致痫性损伤发生数月或数年后出现,因此可进行二级预防。然而,由于缺乏用于识别致痫性损伤后癫痫风险最高的个体的生物标志物,预防治疗的发展受到了挑战。
研究了 4 种不同的致痫大鼠模型,以确定差异表达的循环 microRNA(miRNA)和 isomiR 谱作为致痫的生物标志物。在进行长期视频脑电图监测的动物中,于潜伏期的第 2 天和第 9 天采集血浆样本,这些动物有或没有发展为癫痫。使用全基因组小 RNA 测序平台以无监督的方式识别和测量 miRNA 和 isomiR。通过接受者操作特征分析确定候选生物标志物的性能。
致痫性损伤后 2 天,几种血浆 miRNA 和 isomiR 水平的改变以特定于模型的方式预测了致痫性。一种 miRNA,miR-3085,作为所有 4 种模型中致痫的预后生物标志物具有良好的敏感性(但特异性低)(曲线下面积=0.729,敏感性=83%,特异性=64%,p<0.05)。
鉴定出的血浆 miRNA 和 isomiR 主要是病因特异性的,而不是致痫的普遍预后生物标志物。这些数据表明,在临床前和临床研究中,可能需要为不同的癫痫病因确定特定的生物标志物。重要的是,具有不同病因的致痫性高阴性预测值的循环 miRNA,如 miR-3085,可能是致痫风险初始筛查的有用候选物。