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认知弹性的代谢性大脑特征:超越阿尔茨海默病病理学。

The metabolic brain signature of cognitive resilience in the 80+: beyond Alzheimer pathologies.

机构信息

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Health Science Research, Mayo Clinic, Rochester, Minnesota, USA.

出版信息

Brain. 2019 Apr 1;142(4):1134-1147. doi: 10.1093/brain/awz037.

Abstract

Research into cognitive resilience imaging markers may help determine the clinical significance of Alzheimer's disease pathology among older adults over 80 years (80+). In this study, we aimed to identify a fluorodeoxyglucose (FDG)-PET based imaging marker of cognitive resilience. We identified 457 participants ≥ 80 years old (357 cognitively unimpaired, 118 cognitively impaired at baseline, mean age of 83.5 ± 3.2 years) from the population-based Mayo Clinic Study of Aging (MCSA) with baseline MRI, Pittsburgh compound B-PET and FDG-PET scans and neuropsychological evaluation. We identified a subset of 'resilient' participants (cognitively stable 80+, n = 192) who maintained normal cognition for an average of 5 years (2-10 years). Global PIB ratio, FDG-PET ratio and cortical thickness from Alzheimer's disease signature regions were used as Alzheimer's disease imaging biomarker outcomes and global cognitive z-score was used as a cognitive outcome. First, using voxel-wise multiple regression analysis, we identified the metabolic areas underlying cognitive resilience in cognitively stable 80+ participants, which we call the 'resilience signature'. Second, using multivariate linear regression models, we evaluated the association of risk and protective factors with the resilience signature and its added value for predicting global cognition beyond established Alzheimer's disease imaging biomarkers in the full 80+ sample. Third, we evaluated the utility of the resilience signature in conjunction with amyloidosis in predicting longitudinal cognition using linear mixed effect models. Lastly, we assessed the utility of the resilience signature in an independent cohort using ADNI (n = 358, baseline mean age of 80 ± 3.8). Our main findings were: (i) FDG-PET uptake in the bilateral anterior cingulate cortex and anterior temporal pole was associated with baseline global cognition in cognitively stable 80+ (the resilience signature); (ii) established Alzheimer's disease imaging biomarkers did not predict baseline global cognition in this subset of participants; (iii) in the full MCSA 80+ and ADNI cohorts, amyloid burden and FDG-PET in the resilience signature were the stronger predictors of baseline global cognition; (iv) sex and systemic vascular health predicted FDG-PET in the resilience signature, suggesting vascular health maintenance as a potential pathway to preserve the metabolism of these areas; and (v) the resilience signature provided significant information about global longitudinal cognitive change even when considering amyloid status in both the MCSA and ADNI cohorts. The FDG-PET resilience signature may be able to provide important information in conjunction with other Alzheimer's disease biomarkers for the determination of clinical prognosis. It may also facilitate identification of disease targeting modifiable risk factors such as vascular health maintenance.

摘要

研究认知弹性的成像标志物可能有助于确定 80 岁以上老年人(80+)阿尔茨海默病病理的临床意义。在这项研究中,我们旨在确定一种基于氟脱氧葡萄糖(FDG)-正电子发射断层扫描(PET)的认知弹性成像标志物。我们从基于人群的梅奥诊所衰老研究(MCSA)中确定了 457 名≥80 岁的参与者(357 名认知未受损,118 名认知受损,平均年龄 83.5±3.2 岁),这些参与者在基线时进行了 MRI、匹兹堡复合物 B-PET 和 FDG-PET 扫描以及神经心理学评估。我们确定了一组“有弹性”的参与者(认知稳定 80+,n=192),他们的认知平均保持正常 5 年(2-10 年)。阿尔茨海默病特征区域的全球 PIB 比值、FDG-PET 比值和皮质厚度被用作阿尔茨海默病成像生物标志物的结果,而全球认知 z 分数被用作认知结果。首先,我们使用体素-wise 多元回归分析,在认知稳定的 80+参与者中确定了认知弹性的代谢区域,我们称之为“弹性特征”。其次,我们使用多元线性回归模型,评估了风险和保护因素与弹性特征及其对全样本中既定阿尔茨海默病成像生物标志物预测认知的附加价值的关联。第三,我们使用线性混合效应模型评估了在伴有淀粉样变性的情况下,弹性特征对纵向认知的预测能力。最后,我们在使用 ADNI(n=358,基线平均年龄 80±3.8)的独立队列中评估了弹性特征的效用。我们的主要发现包括:(i)双侧前扣带回和前颞极的 FDG-PET 摄取与认知稳定的 80+基线的全球认知有关(弹性特征);(ii)既定的阿尔茨海默病成像生物标志物在该亚组参与者中不能预测基线全球认知;(iii)在全 MCSA 80+和 ADNI 队列中,淀粉样蛋白负担和弹性特征中的 FDG-PET 是基线全球认知的更强预测因子;(iv)性别和系统性血管健康预测了弹性特征中的 FDG-PET,这表明维持血管健康可能是维持这些区域代谢的潜在途径;(v)即使在考虑了 MCSA 和 ADNI 队列中的淀粉样蛋白状态,弹性特征也提供了关于全球纵向认知变化的重要信息。FDG-PET 弹性特征可能能够与其他阿尔茨海默病生物标志物一起提供重要信息,以确定临床预后。它还可能有助于确定针对疾病的可改变的风险因素,如维持血管健康。

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