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网络保留分析揭示了阿尔茨海默病和颞叶癫痫之间共享的失调突触模块和调控枢纽。

Network Preservation Analysis Reveals Dysregulated Synaptic Modules and Regulatory Hubs Shared Between Alzheimer's Disease and Temporal Lobe Epilepsy.

作者信息

Harutyunyan Anna, Jones Nigel C, Kwan Patrick, Anderson Alison

机构信息

Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia.

Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia.

出版信息

Front Genet. 2022 Mar 2;13:821343. doi: 10.3389/fgene.2022.821343. eCollection 2022.

DOI:10.3389/fgene.2022.821343
PMID:35309145
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8926077/
Abstract

There is increased prevalence of epilepsy in patients with Alzheimer's disease (AD). Although shared pathological and clinical features have been identified, the underlying pathophysiology and cause-effect relationships are poorly understood. We aimed to identify commonly dysregulated groups of genes between these two disorders. Using publicly available transcriptomic data from hippocampal tissue of patients with temporal lobe epilepsy (TLE), late onset AD and non-AD controls, we constructed gene coexpression networks representing all three states. We then employed network preservation statistics to compare the density and connectivity-based preservation of functional gene modules between TLE, AD and controls and used the difference in significance scores as a surrogate quantifier of module preservation. The majority (>90%) of functional gene modules were highly preserved between all coexpression networks, however several modules identified in the TLE network showed various degrees of preservation in the AD network compared to that of control. Of note, two synaptic signalling-associated modules and two metabolic modules showed substantial gain of preservation, while myelination and immune system-associated modules showed significant loss of preservation. The genes and were identified as central regulatory hubs of the highly preserved synaptic signalling-associated module. and were identified as central regulatory hubs of a smaller neurogenesis-associated module, which was enriched for multiple epileptic activity and seizure-related human phenotype ontologies. We conclude that these hubs and their downstream signalling pathways are common modulators of synaptic activity in the setting of AD and TLE, and may play a critical role in epileptogenesis in AD.

摘要

阿尔茨海默病(AD)患者中癫痫的患病率有所增加。尽管已经确定了一些共同的病理和临床特征,但潜在的病理生理学和因果关系仍知之甚少。我们旨在确定这两种疾病之间常见的基因失调组。利用来自颞叶癫痫(TLE)患者、晚发性AD患者和非AD对照者海马组织的公开转录组数据,我们构建了代表所有三种状态的基因共表达网络。然后,我们采用网络保留统计方法,比较TLE、AD和对照之间基于密度和连通性的功能基因模块保留情况,并使用显著性得分的差异作为模块保留的替代量化指标。大多数(>90%)功能基因模块在所有共表达网络之间高度保留,然而,与对照相比,在TLE网络中鉴定出的几个模块在AD网络中表现出不同程度的保留。值得注意的是,两个突触信号相关模块和两个代谢模块显示出显著的保留增加,而髓鞘形成和免疫系统相关模块显示出显著的保留减少。基因 和 被确定为高度保留的突触信号相关模块的核心调控枢纽。 和 被确定为一个较小的神经发生相关模块的核心调控枢纽,该模块富含多种癫痫活动和癫痫发作相关的人类表型本体。我们得出结论,这些枢纽及其下游信号通路是AD和TLE情况下突触活动的常见调节因子,可能在AD的癫痫发生中起关键作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd40/8926077/e97da92d96e8/fgene-13-821343-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd40/8926077/abf34a060ff5/fgene-13-821343-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd40/8926077/960d2657c2fb/fgene-13-821343-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd40/8926077/abd112d0ca51/fgene-13-821343-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd40/8926077/e97da92d96e8/fgene-13-821343-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd40/8926077/abf34a060ff5/fgene-13-821343-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd40/8926077/960d2657c2fb/fgene-13-821343-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd40/8926077/abd112d0ca51/fgene-13-821343-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd40/8926077/e97da92d96e8/fgene-13-821343-g004.jpg

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2
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Nucleic Acids Res. 2019 Jul 2;47(W1):W234-W241. doi: 10.1093/nar/gkz240.
3
Hippocampal gene expression patterns linked to late-life physical activity oppose age and AD-related transcriptional decline.
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Front Plant Sci. 2022 Jul 7;13:943662. doi: 10.3389/fpls.2022.943662. eCollection 2022.
4
An Integrated Multi-Omic Network Analysis Identifies Seizure-Associated Dysregulated Pathways in the GAERS Model of Absence Epilepsy.一项整合多组学网络分析确定了 GAERS 模型失神性癫痫相关的失调通路。
Int J Mol Sci. 2022 May 28;23(11):6063. doi: 10.3390/ijms23116063.
与晚年体力活动相关的海马体基因表达模式与年龄和 AD 相关的转录水平下降相反。
Neurobiol Aging. 2019 Jun;78:142-154. doi: 10.1016/j.neurobiolaging.2019.02.012. Epub 2019 Feb 20.
4
A Microglial Signature Directing Human Aging and Neurodegeneration-Related Gene Networks.一种指导人类衰老和神经退行性变相关基因网络的小胶质细胞特征。
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5
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6
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7
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