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Downregulation of ATP6V1A Involved in Alzheimer’s Disease via Synaptic Vesicle Cycle, Phagosome, and Oxidative Phosphorylation

机译:通过突触囊泡循环,吞噬和氧化磷酸化涉及阿尔茨海默病的ATP6V1A的下调

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Objective . The objective of this study was to investigate the potential molecular mechanisms of ATPase H + transporting V1 subunit A (ATP6V1A) underlying Alzheimer’s disease (AD). Methods . Microarray expression data of human temporal cortex samples from the GSE118553 dataset were profiled to screen for differentially expressed genes (DEGs) between AD/control and ATP6V1A-low/high groups. Correlations of coexpression modules with AD and ATP6V1A were assessed by weight gene correlation network analysis (WGCNA). DEGs strongly interacting with ATP6V1A were extracted to construct global regulatory network. Further cross-talking pathways of ATP6V1A were identified by functional enrichment analysis. Diagnostic performance of ATP6V1A in AD prediction was evaluated using area under the curve (AUC) analysis. Results . The mean expression of ATP6V1A was significantly downregulated in AD compared with nondementia controls. A total of 1,364 DEGs were overlapped from AD/control and ATP6V1A-low/high groups. Based on these DEGs, four coexpression modules were predicted by WGCNA. The blue, brown, and turquoise modules were significantly correlated with AD and low ATP6V1A, whose DEGs were enriched in phagosome, oxidative phosphorylation, synaptic vesicle cycle, focal adhesion, and gamma-aminobutyric acidergic (GABAergic) synapse. Global regulatory network was constructed to identify the cross-talking pathways of ATP6V1A, such as synaptic vesicle cycle, phagosome, and oxidative phosphorylation. According to the AUC value of 74.2%, low ATP6V1A expression accurately predicted the occurrence of AD. Conclusions . Our findings highlighted the pleiotropic roles of low ATP6V1A in AD pathogenesis, possibly mediated by synaptic vesicle cycle, phagosome, and oxidative phosphorylation.
机译:客观的 。本研究的目的是调查ATP酶H +输送V1亚基底层阿尔茨海默氏病A(ATP6V1A)(AD)的电势的分子机制。方法 。从GSE118553数据集的人颞叶皮层样品的微阵列表达数据轮廓以筛选AD /控制和ATP6V1A低/高组之间差异表达的基因(DEGS)。与AD和ATP6V1A共表达模块的相关性是由重量基因相关性网络分析(WGCNA)评估。度的视角与ATP6V1A强相互作用中提取构建全球监管网络。 ATP6V1A的进一步的串扰途径是由功能富集分析鉴定。曲线(AUC)分析下使用面积在AD预测ATP6V1A的诊断性能进行了评价。结果 。 ATP6V1A的平均表达在AD中显著下调与非失智症对照。总共1364个DEGS从AD /控制和ATP6V1A低/高群体重叠。基于这些DEGS,四个共表达模块被WGCNA预测。蓝色,褐色,绿松石模块与AD和低ATP6V1A,其在DEGS吞噬体,氧化磷酸化,突触小泡循环,粘着斑富集,和γ-氨基acidergic(GABA能)突触被显著相关。全球监管网络,构建以确定ATP6V1A,对的串扰途径,如突触小泡循环,吞噬体,和氧化磷酸化。据的74.2%的AUC值,低ATP6V1A表达准确地预测AD的发生。结论。我们的研究结果强调了在AD发病机理的,可能是通过突触小泡循环,吞噬体,和氧化磷酸化介导的低ATP6V1A的多效性作用。

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