Suppr超能文献

β-淀粉样蛋白沉积和其他神经病理学指标可预测阿尔茨海默病的认知状态。

Beta-amyloid deposition and other measures of neuropathology predict cognitive status in Alzheimer's disease.

作者信息

Cummings B J, Pike C J, Shankle R, Cotman C W

机构信息

Laboratory for Molecular Neuroscience, McLean Hospital/Harvard Medical School, Belmont, MA 02178, USA.

出版信息

Neurobiol Aging. 1996 Nov-Dec;17(6):921-33. doi: 10.1016/s0197-4580(96)00170-4.

Abstract

The relationship between progressive cognitive decline and underlying neuropathology associated with Alzheimer s disease (AD) is a key issue in defining the mechanisms responsible for functional loss. This has been a subject of much controversy, with separate studies comparing various clinical and neuropathological indices in AD. Further, it is difficult to compare studies with differences in histochemical staining protocols, brain regions examined, and data quantification criteria. There are many difficulties in designing a clinical-pathological correlative study involving AD patients. It is necessary to control for several key parameters. For example, a broad range of cognitively impaired subjects is needed, as well as short postmortem delays, brief intervals between cognitive testing and death, and the most sensitive detection and quantification techniques. In this study, we carefully controlled for each of these parameters to determine if there is a relationship between global cognitive dysfunction and multiple neuropathological indices. We selected 20 individuals representing a broad range of cognitive ability from normal to severely impaired based on the MMSE, Blessed IMC, and CDR. We counted plaque number, NFT number, dystrophic neurite number, and the relative extent of thioflavine positive plaques and neuritic involvement within plaques. We also quantified cortical area occupied by beta-amyloid immunoreactivity (A beta Load) and PHF-1 positive neuropil threads and tangles (PHF Load) using computer-based image analysis. Interestingly, we found that most pathologic measures correlated highly with the severity of dementia. However, the strongest predictor of premortem cognitive dysfunction on all three cognitive measures was the relative area of entorhinal cortex occupied by beta-amyloid deposition. In conclusion, our data show that in a carefully controlled correlative study, a variety of neuropathological variables are strongly correlated with cognitive impairment. Plaque related variables may be as strongly related to cognitive dysfunction as other established measures, including synapse loss, cell death and tau hyperphosphorylation, although no correlative study can demonstrate causality.

摘要

进行性认知衰退与阿尔茨海默病(AD)相关的潜在神经病理学之间的关系是确定功能丧失机制的关键问题。这一直是一个备受争议的话题,不同研究对AD中的各种临床和神经病理学指标进行了比较。此外,由于组织化学染色方案、所检查的脑区以及数据量化标准存在差异,各研究之间难以进行比较。设计一项涉及AD患者的临床病理相关性研究存在诸多困难。有必要控制几个关键参数。例如,需要广泛的认知受损受试者,以及较短的死后延迟时间、认知测试与死亡之间的短暂间隔,还有最敏感的检测和量化技术。在本研究中,我们仔细控制了上述每个参数,以确定整体认知功能障碍与多种神经病理学指标之间是否存在关联。我们根据简易精神状态检查表(MMSE)、Blessed 缺血修饰白蛋白(IMC)和临床痴呆评定量表(CDR),选取了20名代表从正常到严重受损广泛认知能力范围的个体。我们计算了斑块数量、神经原纤维缠结数量、营养不良性神经突数量,以及硫黄素阳性斑块的相对范围和斑块内神经炎性病变情况。我们还使用基于计算机的图像分析对β淀粉样蛋白免疫反应性(Aβ负荷)和PHF - 1阳性神经纤维丝及缠结(PHF负荷)所占据的皮质面积进行了量化。有趣的是,我们发现大多数病理指标与痴呆严重程度高度相关。然而,在所有三项认知测量中,生前认知功能障碍的最强预测指标是β淀粉样蛋白沉积所占据的内嗅皮质相对面积。总之,我们的数据表明,在一项精心控制的相关性研究中,多种神经病理学变量与认知障碍密切相关。与斑块相关的变量可能与认知功能障碍的关联程度与其他既定指标(包括突触丧失、细胞死亡和tau蛋白过度磷酸化)一样强,尽管没有相关性研究能够证明因果关系。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验