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从遗忘型轻度认知障碍到阿尔茨海默病的脑萎缩轨迹映射。

Mapping cerebral atrophic trajectory from amnestic mild cognitive impairment to Alzheimer's disease.

机构信息

Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China.

Tianjin Key Lab of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China.

出版信息

Cereb Cortex. 2023 Feb 7;33(4):1310-1327. doi: 10.1093/cercor/bhac137.

Abstract

Alzheimer's disease (AD) patients suffer progressive cerebral atrophy before dementia onset. However, the region-specific atrophic processes and the influences of age and apolipoprotein E (APOE) on atrophic trajectory are still unclear. By mapping the region-specific nonlinear atrophic trajectory of whole cerebrum from amnestic mild cognitive impairment (aMCI) to AD based on longitudinal structural magnetic resonance imaging data from Alzheimer's disease Neuroimaging Initiative (ADNI) database, we unraveled a quadratic accelerated atrophic trajectory of 68 cerebral regions from aMCI to AD, especially in the superior temporal pole, caudate, and hippocampus. Besides, interaction analyses demonstrated that APOE ε4 carriers had faster atrophic rates than noncarriers in 8 regions, including the caudate, hippocampus, insula, etc.; younger patients progressed faster than older patients in 32 regions, especially for the superior temporal pole, hippocampus, and superior temporal gyrus; and 15 regions demonstrated complex interaction among age, APOE, and disease progression, including the caudate, hippocampus, etc. (P < 0.05/68, Bonferroni correction). Finally, Cox proportional hazards regression model based on the identified region-specific biomarkers could effectively predict the time to AD conversion within 10 years. In summary, cerebral atrophic trajectory mapping could help a comprehensive understanding of AD development and offer potential biomarkers for predicting AD conversion.

摘要

阿尔茨海默病(AD)患者在痴呆症发作前会出现进行性脑萎缩。然而,区域特异性萎缩过程以及年龄和载脂蛋白 E(APOE)对萎缩轨迹的影响仍不清楚。通过对来自阿尔茨海默病神经影像学倡议(ADNI)数据库的纵向结构磁共振成像数据进行分析,我们基于遗忘型轻度认知障碍(aMCI)到 AD 患者的全脑绘制了特定区域的非线性萎缩轨迹,揭示了从 aMCI 到 AD 的 68 个大脑区域的二次加速萎缩轨迹,尤其是在颞上极、尾状核和海马体。此外,交互分析表明,APOE ε4 携带者在 8 个区域的萎缩速度比非携带者快,包括尾状核、海马体、脑岛等;年轻患者比老年患者在 32 个区域的进展速度更快,尤其是在颞上极、海马体和颞上回等区域;15 个区域表现出年龄、APOE 和疾病进展之间的复杂相互作用,包括尾状核、海马体等。(P < 0.05/68,Bonferroni 校正)。最后,基于识别出的特定区域生物标志物的 Cox 比例风险回归模型可以有效地预测 10 年内 AD 转化的时间。总之,大脑萎缩轨迹的绘制有助于全面了解 AD 的发展,并为预测 AD 转化提供潜在的生物标志物。

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