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基于脑萎缩模式的阿尔茨海默病多种亚型

Multiple Subtypes of Alzheimer's Disease Base on Brain Atrophy Pattern.

作者信息

Zhang Baiwen, Lin Lan, Wu Shuicai, Al-Masqari Zakarea H M A

机构信息

Department of Biomedical Engineering, Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.

Intelligent Physiological Measurement and Clinical Translation, Beijing International Base for Scientific and Technological Cooperation, Beijing University of Technology, Beijing 100124, China.

出版信息

Brain Sci. 2021 Feb 23;11(2):278. doi: 10.3390/brainsci11020278.

Abstract

Alzheimer's disease (AD) is a disease of a heterogeneous nature, which can be disentangled by exploring the characteristics of each AD subtype in the brain structure, neuropathology, and cognition. In this study, a total of 192 AD and 228 cognitively normal (CN) subjects were obtained from the Alzheimer's disease Neuroimaging Initiative database. Based on the cortical thickness patterns, the mixture of experts method (MOE) was applied to the implicit model spectrum of transforms lined with each AD subtype, then their neuropsychological and neuropathological characteristics were analyzed. Furthermore, the piecewise linear classifiers composed of each AD subtype and CN were resolved, and each subtype was comprehensively explained. The following four distinct AD subtypes were discovered: bilateral parietal, frontal, and temporal atrophy AD subtype (occipital sparing AD subtype (OSAD), 29.2%), left temporal dominant atrophy AD subtype (LTAD, 22.4%), minimal atrophy AD subtype (MAD, 16.1%), and diffuse atrophy AD subtype (DAD, 32.3%). These four subtypes display their own characteristics in atrophy pattern, cognition, and neuropathology. Compared with the previous studies, our study found that some AD subjects showed obvious asymmetrical atrophy in left lateral temporal-parietal cortex, OSAD presented the worst cerebrospinal fluid levels, and MAD had the highest proportions of APOE ε4 and APOE ε2. The subtype characteristics were further revealed from the aspect of the model, making it easier for clinicians to understand. The results offer an effective support for individual diagnosis and prognosis.

摘要

阿尔茨海默病(AD)是一种具有异质性的疾病,通过探究各AD亚型在脑结构、神经病理学和认知方面的特征可以将其区分开来。在本研究中,共从阿尔茨海默病神经影像倡议数据库中获取了192名AD患者和228名认知正常(CN)的受试者。基于皮质厚度模式,将专家混合方法(MOE)应用于与各AD亚型相关的变换隐式模型谱,然后分析其神经心理学和神经病理学特征。此外,解析了由各AD亚型和CN组成的分段线性分类器,并对每个亚型进行了全面阐释。发现了以下四种不同的AD亚型:双侧顶叶、额叶和颞叶萎缩AD亚型(枕叶保留AD亚型(OSAD),29.2%)、左侧颞叶优势萎缩AD亚型(LTAD,22.4%)、轻度萎缩AD亚型(MAD,16.1%)和弥漫性萎缩AD亚型(DAD,32.3%)。这四种亚型在萎缩模式、认知和神经病理学方面呈现出各自的特征。与先前的研究相比,我们的研究发现一些AD患者在左侧颞顶叶皮质表现出明显的不对称萎缩,OSAD的脑脊液水平最差,而MAD的APOE ε4和APOE ε2比例最高。从模型方面进一步揭示了亚型特征,使临床医生更容易理解。研究结果为个体诊断和预后提供了有效支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3229/7926857/579cfe028e33/brainsci-11-00278-g001.jpg

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