Spatiotemporal patterns of amyloid deposition as prognostic markers of Alzheimer's disease.

IF 2.6 3区 医学 Q2 CLINICAL NEUROLOGY
Shiori Amemiya, Hidemasa Takao, Osamu Abe
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引用次数: 0

Abstract

Purpose: The study aims to characterize the spatiotemporal distribution of amyloid deposition, differentiate between its subtypes, and explore their predictive value for patient cognitive outcomes.

Methods: Amyloid PET data from a prospective consortium study, the Alzheimer's Disease Neuroimaging Initiative, were used. A spatial independent component analysis revealed regions of amyloid deposition covariation, which served as regions of interest. A subtype and stage inference analysis was then performed to infer spatiotemporal patterns from cross-sectional data. Multinomial logistic regression models evaluated the impacts of demographics and risk factors on subtype assignment and determined the prognostic value of the subtypes for cognitive decline. Longitudinal data were used for validation.

Results: The study included 1,049 participants (466 cognitively normal, 447 mild cognitive impairment, and 136 Alzheimer's disease; 72 ± 8 years; 543 women), with follow-up data available for 643 (915 ± 431 days from baseline). Three distinct spatiotemporal patterns were identified, primarily affecting the parietal, frontotemporal, and occipital lobes, respectively, in the early stages. The amyloid deposition rates differed between the subtypes, even after age, diagnosis, apolipoprotein E ε4 carriership (APOE), baseline amyloid burden, and tracer types were controlled for (occipital vs. parietal: β = 32.6, P < .001; occipital vs. frontotemporal: β = 17.0, P = .017; parietal vs. frontotemporal: β = 15.6, P = .026). The rates of change in cognitive scores, adjusted for age, diagnosis, APOE, baseline amyloid burden, baseline cognitive score, and tracer types also differed between the subtypes (occipital vs. Stage 0: β = 0.162, P = .021; occipital vs. parietal: β = 0.134, P = .013).

Conclusion: Amyloid PET subtyping may serve as a valuable independent prognostic biomarker.

淀粉样蛋白沉积的时空模式作为阿尔茨海默病的预后标志物。
目的:研究淀粉样蛋白沉积的时空分布特征,区分其亚型,并探讨其对患者认知结局的预测价值。方法:淀粉样蛋白PET数据来自一项前瞻性联合研究,阿尔茨海默病神经影像学倡议。空间独立成分分析揭示了淀粉样蛋白沉积共变区域,这是感兴趣的区域。然后进行亚型和阶段推断分析,从横截面数据推断时空模式。多项逻辑回归模型评估了人口统计学和危险因素对亚型分配的影响,并确定了亚型对认知衰退的预后价值。采用纵向数据进行验证。结果:该研究包括1,049名参与者(466名认知正常,447名轻度认知障碍,136名阿尔茨海默病患者;72±8岁;543名女性),随访数据为643(从基线开始915±431天)。发现了三种不同的时空模式,分别在早期主要影响顶叶、额颞叶和枕叶。不同亚型之间的淀粉样蛋白沉积率存在差异,即使在年龄、诊断、载脂蛋白ε4携带(APOE)、基线淀粉样蛋白负荷和示踪剂类型(枕部与顶部:β = 32.6, P)的控制下也存在差异。结论:淀粉样蛋白PET亚型可作为一种有价值的独立预后生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neuroradiology
Neuroradiology 医学-核医学
CiteScore
5.30
自引率
3.60%
发文量
214
审稿时长
4-8 weeks
期刊介绍: Neuroradiology aims to provide state-of-the-art medical and scientific information in the fields of Neuroradiology, Neurosciences, Neurology, Psychiatry, Neurosurgery, and related medical specialities. Neuroradiology as the official Journal of the European Society of Neuroradiology receives submissions from all parts of the world and publishes peer-reviewed original research, comprehensive reviews, educational papers, opinion papers, and short reports on exceptional clinical observations and new technical developments in the field of Neuroimaging and Neurointervention. The journal has subsections for Diagnostic and Interventional Neuroradiology, Advanced Neuroimaging, Paediatric Neuroradiology, Head-Neck-ENT Radiology, Spine Neuroradiology, and for submissions from Japan. Neuroradiology aims to provide new knowledge about and insights into the function and pathology of the human nervous system that may help to better diagnose and treat nervous system diseases. Neuroradiology is a member of the Committee on Publication Ethics (COPE) and follows the COPE core practices. Neuroradiology prefers articles that are free of bias, self-critical regarding limitations, transparent and clear in describing study participants, methods, and statistics, and short in presenting results. Before peer-review all submissions are automatically checked by iThenticate to assess for potential overlap in prior publication.
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