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本文引用的文献

1
Integrating Transcriptomics, Genomics, and Imaging in Alzheimer's Disease: A Federated Model.整合转录组学、基因组学和影像学用于阿尔茨海默病:一种联邦模型。
Front Radiol. 2022 Jan 21;1:777030. doi: 10.3389/fradi.2021.777030. eCollection 2021.
2
Federated learning enables big data for rare cancer boundary detection.联邦学习为罕见癌症边界检测提供大数据支持。
Nat Commun. 2022 Dec 5;13(1):7346. doi: 10.1038/s41467-022-33407-5.
3
Correlation Between Brain Structure Atrophy and Plasma Amyloid-β and Phosphorylated Tau in Patients With Alzheimer's Disease and Amnestic Mild Cognitive Impairment Explored by Surface-Based Morphometry.基于表面形态测量法探索阿尔茨海默病和遗忘型轻度认知障碍患者脑结构萎缩与血浆淀粉样β蛋白及磷酸化tau蛋白之间的相关性
Front Aging Neurosci. 2022 Apr 25;14:816043. doi: 10.3389/fnagi.2022.816043. eCollection 2022.
4
Dissociation of tau pathology and neuronal hypometabolism within the ATN framework of Alzheimer's disease.在阿尔茨海默病的 ATN 框架内,tau 病理学与神经元低代谢的分离。
Nat Commun. 2022 Mar 21;13(1):1495. doi: 10.1038/s41467-022-28941-1.
5
Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology.用于海马形态测量相关β-淀粉样蛋白和tau病理学的联合形态测量特征选择
Front Neurosci. 2021 Nov 25;15:762458. doi: 10.3389/fnins.2021.762458. eCollection 2021.
6
Tau-Atrophy Variability Reveals Phenotypic Heterogeneity in Alzheimer's Disease.tau 蛋白萎缩的可变性揭示了阿尔茨海默病的表型异质性。
Ann Neurol. 2021 Nov;90(5):751-762. doi: 10.1002/ana.26233. Epub 2021 Oct 15.
7
Federated learning for predicting clinical outcomes in patients with COVID-19.基于联邦学习的 COVID-19 患者临床结局预测
Nat Med. 2021 Oct;27(10):1735-1743. doi: 10.1038/s41591-021-01506-3. Epub 2021 Sep 15.
8
Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases.使用多变量形态测量统计、稀疏编码和核熵估计预测脑淀粉样蛋白:在来自阿尔茨海默病神经影像倡议(ADNI)和老年脑成像数据集(OASIS)数据库的1101名个体中的验证
Front Neurosci. 2021 Aug 6;15:669595. doi: 10.3389/fnins.2021.669595. eCollection 2021.
9
Tau-PET and in vivo Braak-staging as prognostic markers of future cognitive decline in cognitively normal to demented individuals.tau-PET 和体内 Braak 分期作为认知正常至痴呆个体未来认知下降的预后标志物。
Alzheimers Res Ther. 2021 Aug 12;13(1):137. doi: 10.1186/s13195-021-00880-x.
10
Synergistic Effects of APOE and CLU May Increase the Risk of Alzheimer's Disease: Acceleration of Atrophy in the Volumes and Shapes of the Hippocampus and Amygdala.APOE与CLU的协同作用可能增加阿尔茨海默病风险:海马体和杏仁核体积及形状萎缩加速。
J Alzheimers Dis. 2021;80(3):1311-1327. doi: 10.3233/JAD-201162.

基于表面的联合 Chow 检验模型,用于整合 APOE 状态、tau 沉积测量和海马表面形态测量。

A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry.

机构信息

School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA.

Banner Alzheimer's Institute, Phoenix, AZ, USA.

出版信息

J Alzheimers Dis. 2023;93(3):1153-1168. doi: 10.3233/JAD-230034.

DOI:10.3233/JAD-230034
PMID:37182882
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10329869/
Abstract

BACKGROUND

Alzheimer's disease (AD) is the most common type of age-related dementia, affecting 6.2 million people aged 65 or older according to CDC data. It is commonly agreed that discovering an effective AD diagnosis biomarker could have enormous public health benefits, potentially preventing or delaying up to 40% of dementia cases. Tau neurofibrillary tangles are the primary driver of downstream neurodegeneration and subsequent cognitive impairment in AD, resulting in structural deformations such as hippocampal atrophy that can be observed in magnetic resonance imaging (MRI) scans.

OBJECTIVE

To build a surface-based model to 1) detect differences between APOE subgroups in patterns of tau deposition and hippocampal atrophy, and 2) use the extracted surface-based features to predict cognitive decline.

METHODS

Using data obtained from different institutions, we develop a surface-based federated Chow test model to study the synergistic effects of APOE, a previously reported significant risk factor of AD, and tau on hippocampal surface morphometry.

RESULTS

We illustrate that the APOE-specific morphometry features correlate with AD progression and better predict future AD conversion than other MRI biomarkers. For example, a strong association between atrophy and abnormal tau was identified in hippocampal subregion cornu ammonis 1 (CA1 subfield) and subiculum in e4 homozygote cohort.

CONCLUSION

Our model allows for identifying MRI biomarkers for AD and cognitive decline prediction and may uncover a corner of the neural mechanism of the influence of APOE and tau deposition on hippocampal morphology.

摘要

背景

根据美国疾病控制与预防中心的数据,阿尔茨海默病(AD)是最常见的与年龄相关的痴呆症类型,影响着 65 岁及以上的 620 万人。人们普遍认为,发现有效的 AD 诊断生物标志物将具有巨大的公共卫生效益,有可能预防或延缓多达 40%的痴呆病例。Tau 神经原纤维缠结是 AD 下游神经退行性变和随后认知障碍的主要驱动因素,导致磁共振成像(MRI)扫描中可观察到的结构变形,如海马体萎缩。

目的

建立基于表面的模型,以 1)检测 APOE 亚组中 Tau 沉积和海马体萎缩模式的差异,2)使用提取的基于表面的特征来预测认知能力下降。

方法

利用来自不同机构的数据,我们开发了一个基于表面的联合 Chow 测试模型,以研究 APOE(AD 的一个先前报道的显著风险因素)和 Tau 对海马体表面形态的协同作用。

结果

我们表明,APOE 特异性形态特征与 AD 进展相关,并且比其他 MRI 生物标志物更好地预测未来的 AD 转化。例如,在 e4 纯合子队列中,CA1 亚区和海马旁回的萎缩与异常 Tau 之间存在强烈的相关性。

结论

我们的模型可以识别 AD 和认知能力下降的 MRI 生物标志物,并可能揭示 APOE 和 Tau 沉积对海马体形态影响的神经机制的一个角落。