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海马体连接与阿尔茨海默病性痴呆:双组分模型中突触丧失和缠结频率的影响

Hippocampal connectivity and Alzheimer's dementia: effects of synapse loss and tangle frequency in a two-component model.

作者信息

Samuel W, Masliah E, Hill L R, Butters N, Terry R

机构信息

Department of Neurosciences, University of California, San Diego, La Jolla 92093-0624.

出版信息

Neurology. 1994 Nov;44(11):2081-8. doi: 10.1212/wnl.44.11.2081.

Abstract

Our prior research on patients with Alzheimer's disease (AD) found a high correspondence between premortem dementia and accumulation of neurofibrillary tangles (NFTs) with concurrent loss of synapse density in several brain regions. In the present study, we examined these same clinicopathologic relationships in the context of seven subregions of the hippocampal formation using a sample of 16 AD patients who had been administered three well-known mental status tests antemortem. We found NFT counts to be most strongly correlated with degree of dementia when they were seen in CA1, the subiculum, and CA4; NFTs in these subregions appeared significantly clustered on factor analysis. Synapse loss was most strongly correlated with dementia when it occurred in the molecular layers of the dentate fasciculus and stratum lacunosum, CA2/3, and CA4; synapse loss in these subregions appeared significantly clustered on factor analysis. In general, these results were compatible with a two-component model of hippocampal connectivity and function in the context of AD. The first component consists of subregions preceding CA1 in a hypothesized input-processing sequence intrinsic to the hippocampus that summates neuronal excitation and that influences cognition primarily through synapse density. The second component consists of an "output module," mainly CA1 and the subiculum, that receives the processed signal, passes it on to extrahippocampal cortical and subcortical targets, and affects cognition primarily by NFT accumulation in output neurons. A "net pathology" score combining standardized z-scores for synapse density and NFTs was significantly correlated with all three mental status measures in all hippocampal subregions except the entorhinal cortex, and stepwise regressions on these data found net pathology in CA4 to be the most independent significant predictor of premortem dementia.

摘要

我们之前对阿尔茨海默病(AD)患者的研究发现,生前痴呆与神经原纤维缠结(NFTs)的积累高度相关,同时在几个脑区出现突触密度丧失。在本研究中,我们使用16名生前接受过三项著名精神状态测试的AD患者样本,在海马结构的七个亚区背景下研究了这些相同的临床病理关系。我们发现,当在CA1、海马下脚和CA4区域观察到NFT计数时,其与痴呆程度的相关性最强;在这些亚区的NFTs在因子分析中显示出明显的聚集。当突触丧失发生在齿状束分子层、腔隙层、CA2/3和CA4时,其与痴呆的相关性最强;这些亚区的突触丧失在因子分析中也显示出明显的聚集。总体而言,这些结果与AD背景下海马连接性和功能的双组分模型相符。第一组分由海马内假设的输入处理序列中先于CA1的亚区组成,该序列整合神经元兴奋并主要通过突触密度影响认知。第二组分由一个“输出模块”组成,主要是CA1和海马下脚,其接收处理后的信号,将其传递至海马外皮质和皮质下靶点,并主要通过输出神经元中的NFT积累影响认知。一个结合突触密度和NFT标准化z分数的“净病理”评分与除内嗅皮质外的所有海马亚区的所有三项精神状态测量指标均显著相关,对这些数据进行的逐步回归发现,CA4区的净病理是生前痴呆最独立的显著预测因子。

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