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白质高信号、神经退行性变、β-淀粉样蛋白与认知之间的时间关系。

The temporal relationships between white matter hyperintensities, neurodegeneration, amyloid beta, and cognition.

作者信息

Dadar Mahsa, Camicioli Richard, Duchesne Simon, Collins D Louis

机构信息

CERVO Brain Research Center Centre intégré universitaire santé et services sociaux de la Capitale Nationale Québec Quebec Canada.

Department of Medicine, Division of Neurology University of Alberta Edmonton Alberta Canada.

出版信息

Alzheimers Dement (Amst). 2020 Oct 13;12(1):e12091. doi: 10.1002/dad2.12091. eCollection 2020.

DOI:10.1002/dad2.12091
PMID:33083512
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7552231/
Abstract

INTRODUCTION

Cognitive decline in Alzheimer's disease is associated with amyloid beta (Aβ) accumulation, neurodegeneration, and cerebral small vessel disease, but the temporal relationships among these factors is not well established.

METHODS

Data included white matter hyperintensity (WMH) load, gray matter (GM) atrophy and Alzheimer's Disease Assessment Scale-Cognitive-Plus (ADAS13) scores for 720 participants and cerebrospinal fluid amyloid (Aβ1-42) for 461 participants from the Alzheimer's Disease Neuroimaging Initiative. Linear regressions were used to assess the relationships among baseline WMH, GM, and Aβ1-42 to changes in WMH, GM, Aβ1-42, and cognition at 1-year follow-up.

RESULTS

Baseline WMHs and Aβ1-42 predicted WMH increase and GM atrophy. Baseline WMHs and Aβ1-42 predicted worsening cognition. Only baseline Aβ1-42 predicted change in Aβ1-42.

DISCUSSION

Baseline WMHs lead to greater future GM atrophy and cognitive decline, suggesting that WM damage precedes neurodegeneration and cognitive decline. Baseline Aβ1-42 predicted WMH increase, suggesting a potential role of amyloid in WM damage.

摘要

引言

阿尔茨海默病中的认知衰退与β淀粉样蛋白(Aβ)积累、神经退行性变和脑小血管疾病相关,但这些因素之间的时间关系尚未明确确立。

方法

数据包括来自阿尔茨海默病神经影像倡议的720名参与者的白质高信号(WMH)负荷、灰质(GM)萎缩以及阿尔茨海默病评估量表-认知增强版(ADAS13)评分,以及461名参与者的脑脊液淀粉样蛋白(Aβ1-42)。采用线性回归评估基线时的WMH、GM和Aβ1-42与1年随访时WMH、GM、Aβ1-42和认知变化之间的关系。

结果

基线时的WMH和Aβ1-42可预测WMH增加和GM萎缩。基线时的WMH和Aβ1-42可预测认知功能恶化。只有基线时的Aβ1-42可预测Aβ1-42的变化。

讨论

基线时的WMH会导致未来更严重的GM萎缩和认知衰退,这表明白质损伤先于神经退行性变和认知衰退。基线时的Aβ1-42可预测WMH增加,提示淀粉样蛋白在白质损伤中可能发挥作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2b9/7552231/026eeafed40f/DAD2-12-e12091-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2b9/7552231/b40bda62c5b9/DAD2-12-e12091-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2b9/7552231/a4c7e3dbad40/DAD2-12-e12091-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2b9/7552231/2353da322f26/DAD2-12-e12091-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2b9/7552231/026eeafed40f/DAD2-12-e12091-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2b9/7552231/b40bda62c5b9/DAD2-12-e12091-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2b9/7552231/a4c7e3dbad40/DAD2-12-e12091-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2b9/7552231/2353da322f26/DAD2-12-e12091-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2b9/7552231/026eeafed40f/DAD2-12-e12091-g004.jpg

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本文引用的文献

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Sci Data. 2020 Jul 15;7(1):237. doi: 10.1038/s41597-020-0557-9.
2
The Longitudinal Assessment of Neuropsychiatric Symptoms in Mild Cognitive Impairment and Alzheimer's Disease and Their Association With White Matter Hyperintensities in the National Alzheimer's Coordinating Center's Uniform Data Set.轻度认知障碍和阿尔茨海默病患者神经精神症状的纵向评估及其与国家阿尔茨海默病协调中心统一数据集白质高信号的关系。
Biol Psychiatry Cogn Neurosci Neuroimaging. 2021 Jan;6(1):70-78. doi: 10.1016/j.bpsc.2020.03.006. Epub 2020 Apr 2.
3
提高白质疾病及相关痴呆症的临床试验准备程度:未来研究进展的关键步骤。
Geroscience. 2025 Jul 21. doi: 10.1007/s11357-025-01805-4.
4
Sex Differences in Vulnerability to Tau Pathology: Impact on Cognitive Decline.tau蛋白病变易感性的性别差异:对认知衰退的影响。
medRxiv. 2025 May 26:2025.05.25.25328324. doi: 10.1101/2025.05.25.25328324.
5
Impact of white matter hyperintensities on α4β2 nicotinic acetylcholine receptor binding in the human brain.脑白质高信号对人脑中α4β2烟碱型乙酰胆碱受体结合的影响。
Eur J Nucl Med Mol Imaging. 2025 Jun 11. doi: 10.1007/s00259-025-07383-z.
6
White matter fractional anisotropy decreases precede hyperintensities in Alzheimer's disease.在阿尔茨海默病中,白质分数各向异性降低先于高信号出现。
Cell Rep Med. 2025 Jun 17;6(6):102138. doi: 10.1016/j.xcrm.2025.102138. Epub 2025 May 20.
7
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8
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9
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Brain Imaging Behav. 2024 Oct;18(5):1310-1322. doi: 10.1007/s11682-024-00902-w. Epub 2024 Jul 31.
CSF amyloid is a consistent predictor of white matter hyperintensities across the disease course from aging to Alzheimer's disease.
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Neurobiol Aging. 2020 Jul;91:5-14. doi: 10.1016/j.neurobiolaging.2020.03.008. Epub 2020 Mar 17.
4
Deformation based morphometry study of longitudinal MRI changes in behavioral variant frontotemporal dementia.基于变形的行为变异型额颞叶痴呆纵向 MRI 变化的形态计量学研究。
Neuroimage Clin. 2019;24:102079. doi: 10.1016/j.nicl.2019.102079. Epub 2019 Nov 5.
5
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AIDS. 2019 Jun 1;33(7):1197-1205. doi: 10.1097/QAD.0000000000002193.
6
White matter in different regions evolves differently during progression to dementia.不同区域的白质在向痴呆发展过程中演变不同。
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7
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8
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9
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10
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