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突触丧失与阿尔茨海默病的进展——一种网络模型。

Synapse loss and progress of Alzheimer's disease -A network model.

机构信息

Indian Institute of Science Education and Research(IISER) Pune, Pune, 411008, India.

Indian Institute of Science, Center for Neuroscience, Bangalore, 560012, India.

出版信息

Sci Rep. 2019 Apr 25;9(1):6555. doi: 10.1038/s41598-019-43076-y.

Abstract

We present observational evidence from studies on primary cortical cultures from AD transgenic mice, APPSwe/PS1ΔE9 (APP/PS1) mice, for significant decrease in total spine density at DIV-15 and onward. This indicates reduction in potential healthy synapses and strength of connections among neurons. Based on this, a network model of neurons is developed, that explains the consequent loss of coordinated activity and transmission efficiency among neurons that manifests over time. The critical time when structural connectivity in the brain undergoes a phase-transition, from initial robustness to irreparable breakdown, is estimated from this model. We also show how the global efficiency of signal transmission in the network decreases over time. Moreover, the number of multiple paths of high efficiency decreases rapidly as the disease progresses, indicating loss of structural plasticity and inefficiency in choosing alternate paths or desired paths for any pattern of activity. Thus loss of spines caused by β-Amyloid (Aβ) peptide results in disintegration of the neuronal network over time with consequent cognitive dysfunctions in Alzheimer's Disease (AD).

摘要

我们从 AD 转基因小鼠、APPSwe/PS1ΔE9(APP/PS1)小鼠的原代皮质培养物研究中提供了观察证据,表明在 DIV-15 及以后总棘密度显著下降。这表明潜在健康突触和神经元之间连接的强度减少。基于此,我们建立了一个神经元网络模型,该模型解释了随着时间的推移,神经元之间协调活动和传输效率的丧失。从该模型估计出大脑结构连接何时经历从初始稳健性到不可修复的崩溃的相变的关键时间。我们还展示了网络中信号传输的全局效率如何随时间降低。此外,随着疾病的进展,高效多路径的数量迅速减少,表明结构可塑性丧失,以及在选择任何活动模式的替代路径或所需路径方面效率低下。因此,β-淀粉样蛋白(Aβ)肽引起的棘突丢失导致神经元网络随时间瓦解,从而导致阿尔茨海默病(AD)中的认知功能障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97f5/6484103/948ddd713e21/41598_2019_43076_Fig1_HTML.jpg

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