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癫痫中RNA N6-甲基腺苷调控的鉴定:细胞死亡模式、糖代谢及药物反应性的意义

Identification of RNA N6-methyladenosine regulation in epilepsy: Significance of the cell death mode, glycometabolism, and drug reactivity.

作者信息

Liu Xuchen, Sun Qingyuan, Cao Zexin, Liu Wenyu, Zhang Hengrui, Xue Zhiwei, Zhao Jiangli, Feng Yifei, Zhao Feihu, Wang Jiwei, Wang Xinyu

机构信息

Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China.

Jinan Microecological Biomedicine Shandong Laboratory and Shandong Key Laboratory of Brain Function Remodeling, Jinan, China.

出版信息

Front Genet. 2022 Nov 17;13:1042543. doi: 10.3389/fgene.2022.1042543. eCollection 2022.

Abstract

Epilepsy, a functional disease caused by abnormal discharge of neurons, has attracted the attention of neurologists due to its complex characteristics. N6-methyladenosine (m6A) is a reversible mRNA modification that plays essential role in various biological processes. Nevertheless, no previous study has systematically evaluated the role of m6A regulators in epilepsy. Here, using gene expression screening in the Gene Expression Omnibus GSE143272, we identified seven significant m6A regulator genes in epileptic and non-epileptic patients. The random forest (RF) model was applied to the screening, and seven m6A regulators (HNRNPC, WATP, RBM15, YTHDC1, YTHDC2, CBLL1, and RBMX) were selected as the candidate genes for predicting the risk of epilepsy. A nomogram model was then established based on the seven-candidate m6A regulators. Decision curve analysis preliminarily showed that patients with epilepsy could benefit from the nomogram model. The consensus clustering method was performed to divide patients with epilepsy into two m6A patterns (clusterA and clusterB) based on the selected significant m6A regulators. Principal component analysis algorithms were constructed to calculate the m6A score for each sample to quantify the m6A patterns. Patients in clusterB had higher m6A scores than those in clusterA. Furthermore, the patients in each cluster had unique immune cell components and different cell death patterns. Meanwhile, based on the M6A classification, a correlation between epilepsy and glucose metabolism was laterally verified. In conclusion, the m6A regulation pattern plays a vital role in the pathogenesis of epilepsy. The research on m6A regulatory factors will play a key role in guiding the immune-related treatment, drug selection, and identification of metabolism conditions and mechanisms of epilepsy in the future.

摘要

癫痫是一种由神经元异常放电引起的功能性疾病,因其复杂的特征而受到神经学家的关注。N6-甲基腺苷(m6A)是一种可逆的mRNA修饰,在各种生物学过程中发挥着重要作用。然而,以前没有研究系统地评估过m6A调节剂在癫痫中的作用。在这里,我们利用基因表达综合数据库GSE143272中的基因表达筛选,在癫痫患者和非癫痫患者中鉴定出七个重要的m6A调节基因。随机森林(RF)模型被应用于筛选,七个m6A调节剂(HNRNPC、WATP、RBM15、YTHDC1、YTHDC2、CBLL1和RBMX)被选为预测癫痫风险的候选基因。然后基于这七个候选m6A调节剂建立了列线图模型。决策曲线分析初步表明,癫痫患者可以从列线图模型中获益。采用共识聚类方法,根据所选的显著m6A调节剂将癫痫患者分为两种m6A模式(clusterA和clusterB)。构建主成分分析算法来计算每个样本的m6A分数,以量化m6A模式。clusterB中的患者比clusterA中的患者具有更高的m6A分数。此外,每个簇中的患者具有独特的免疫细胞成分和不同的细胞死亡模式。同时,基于M6A分类,从侧面验证了癫痫与葡萄糖代谢之间的相关性。总之,m6A调节模式在癫痫的发病机制中起着至关重要的作用。对m6A调节因子的研究将在未来指导癫痫的免疫相关治疗、药物选择以及代谢状况和机制的识别方面发挥关键作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a219/9714553/55c8b65762e4/fgene-13-1042543-g001.jpg

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