Zou Donghua, Li Rongjie, Huang Xiaohua, Chen Guoying, Liu Ying, Meng Youshi, Wang Yimei, Wu Yuan, Mao Yingwei
Department of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530022, China.
Department of Neurology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise 533000, China.
Aging (Albany NY). 2019 Dec 9;11(23):11673-11685. doi: 10.18632/aging.102571.
Our previous studies revealed RBM8A may play a role in various progressive neurological diseases. The present study aimed to explore the role of RBM8A in Alzheimer's disease (AD). RBM8A is significantly down-regulated in AD. Interestingly, 9186 differentially expressed genes are overlapped from comparisons of AD versus control and RBM8A-low versus RBM8A-high. Weight gene correlation analysis was performed and 9 functional modules were identified. Modules positively correlated with AD and RBM8A-low are significantly involved in the RAP1 signaling pathway, PI3K-AKT signaling pathway, hematopoietic cell lineage, autophagy and APELIN signaling pathway. Fifteen genes (RBM8A, RHBDF2, TNFRSF10B, ACP1, ANKRD39, CA10, CAMK4, CBLN4, LOC284214, NOVA1, PAK1, PPEF1, RGS4, TCEB1 and TMEM118) are identified as hub genes, and the hub gene-based LASSO model can accurately predict the occurrence of AD (AUC = 0.948). Moreover, the RBM8A-module-pathway network was constructed, and low expression of RBM8A down-regulates multiple module genes, including FIP200, Beclin 1, NRBF2, VPS15 and ATG12, which composes key complexes of autophagy. Thus, our study supports that low expression of RBM8A correlates with the decrease of the components of key complexes in autophagy, which could potentially contribute to pathophysiological changes of AD.
我们之前的研究表明,RBM8A可能在多种进行性神经疾病中发挥作用。本研究旨在探讨RBM8A在阿尔茨海默病(AD)中的作用。RBM8A在AD中显著下调。有趣的是,在AD与对照以及RBM8A低表达与高表达的比较中,有9186个差异表达基因重叠。进行了加权基因相关性分析并鉴定出9个功能模块。与AD和RBM8A低表达呈正相关的模块显著参与RAP1信号通路、PI3K - AKT信号通路、造血细胞谱系、自噬和APELIN信号通路。确定了15个基因(RBM8A、RHBDF2、TNFRSF10B、ACP1、ANKRD39、CA10、CAMK4、CBLN4、LOC284214、NOVA1、PAK1、PPEF1、RGS4、TCEB1和TMEM118)为枢纽基因,基于枢纽基因的LASSO模型能够准确预测AD的发生(AUC = 0.948)。此外,构建了RBM8A - 模块 - 信号通路网络,RBM8A的低表达下调了多个模块基因,包括组成自噬关键复合物的FIP200、Beclin 1、NRBF2、VPS15和ATG12。因此,我们的研究支持RBM8A的低表达与自噬关键复合物成分的减少相关,这可能潜在地导致AD的病理生理变化。