• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

淀粉样蛋白非依赖性萎缩模式可预测轻度认知障碍向痴呆进展的时间。

Amyloid-independent atrophy patterns predict time to progression to dementia in mild cognitive impairment.

机构信息

Alzheimer Center & Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.

Alzheimer Center & Department of Neurology, VU University Medical Center, PO Box 7057, 1007 MB, Amsterdam, The Netherlands.

出版信息

Alzheimers Res Ther. 2017 Sep 12;9(1):73. doi: 10.1186/s13195-017-0299-x.

DOI:10.1186/s13195-017-0299-x
PMID:28899429
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5596472/
Abstract

BACKGROUND

Amyloid pathology in subjects with mild cognitive impairment (MCI) is an important risk factor for progression to dementia due to Alzheimer's disease. Predicting the onset of dementia is challenging even in the presence of amyloid, as time to progression varies considerably among patients and depends on the onset of neurodegeneration. Survival analysis can account for variability in time to event, but has not often been applied to MRI measurements beyond singular predefined brain regions such as the hippocampus. Here we used a voxel-wise survival analysis to identify in an unbiased fashion brain regions where decreased gray matter volume is associated with time to dementia, and assessed the effects of amyloid on these associations.

METHODS

We included 276 subjects with MCI (mean age 67 ± 8, 41% female, mean Mini-Mental State Examination 26.6 ± 2.4), baseline 3D T1-weighted structural MRI, baseline cerebrospinal fluid (CSF) biomarkers, and prospective clinical follow-up. We fitted for each voxel a proportional Cox hazards regression model to study whether decreased gray matter volume predicted progression to dementia in the total sample, and stratified for baseline amyloid status.

RESULTS

Dementia at follow-up occurred in 122 (44%) subjects over an average follow-up period of 2.5 ± 1.5 years. Baseline amyloid positivity was associated with progression to dementia (hazard ratio 2.4, p < 0.001). Within amyloid-positive subjects, decreased gray matter volume in the hippocampal, temporal, parietal, and frontal regions was associated with more rapid progression to dementia (median (interquartile range) hazard ratio across significant voxels 1.35 (1.32-1.40)). Repeating the analysis in amyloid-negative subjects revealed similar patterns (median (interquartile range) hazard ratio 1.76 (1.66-1.91)).

CONCLUSIONS

In subjects with MCI, both abnormal amyloid CSF and decreased gray matter volume were associated with future progression to dementia. The spatial pattern of decreased gray matter volume associated with progression to dementia was consistent for amyloid-positive and amyloid-negative subjects.

摘要

背景

轻度认知障碍(MCI)患者的淀粉样蛋白病理学是导致阿尔茨海默病痴呆进展的重要危险因素。即使存在淀粉样蛋白,预测痴呆的发病也具有挑战性,因为患者之间的进展时间差异很大,并且取决于神经退行性变的发生。生存分析可以解释事件时间的可变性,但尚未广泛应用于 MRI 测量,超出了单一预定义的脑区,如海马体。在这里,我们使用体素生存分析以无偏倚的方式识别与痴呆发生时间相关的灰质体积减少的脑区,并评估淀粉样蛋白对这些关联的影响。

方法

我们纳入了 276 名 MCI 患者(平均年龄 67±8 岁,41%为女性,平均简易精神状态检查 26.6±2.4 分),基线 3D T1 加权结构 MRI、基线脑脊液(CSF)生物标志物和前瞻性临床随访。我们为每个体素拟合比例 Cox 风险回归模型,以研究总样本中灰质体积减少是否预测向痴呆的进展,并按基线淀粉样蛋白状态进行分层。

结果

在平均 2.5±1.5 年的随访期间,122 名(44%)患者出现了随访时的痴呆。基线淀粉样蛋白阳性与向痴呆的进展相关(风险比 2.4,p<0.001)。在淀粉样蛋白阳性的患者中,海马体、颞叶、顶叶和额叶区域的灰质体积减少与向痴呆的进展速度更快相关(在显著体素中,中位数(四分位距)风险比为 1.35(1.32-1.40))。在淀粉样蛋白阴性的患者中重复该分析揭示了类似的模式(中位数(四分位距)风险比为 1.76(1.66-1.91))。

结论

在 MCI 患者中,异常的淀粉样蛋白 CSF 和灰质体积减少都与未来向痴呆的进展相关。与向痴呆进展相关的灰质体积减少的空间模式在淀粉样蛋白阳性和淀粉样蛋白阴性的患者中是一致的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5024/5596472/8cef7520af6d/13195_2017_299_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5024/5596472/55b4f7b57964/13195_2017_299_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5024/5596472/8cef7520af6d/13195_2017_299_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5024/5596472/55b4f7b57964/13195_2017_299_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5024/5596472/8cef7520af6d/13195_2017_299_Fig2_HTML.jpg

相似文献

1
Amyloid-independent atrophy patterns predict time to progression to dementia in mild cognitive impairment.淀粉样蛋白非依赖性萎缩模式可预测轻度认知障碍向痴呆进展的时间。
Alzheimers Res Ther. 2017 Sep 12;9(1):73. doi: 10.1186/s13195-017-0299-x.
2
Posterior atrophy predicts time to dementia in patients with amyloid-positive mild cognitive impairment.淀粉样蛋白阳性轻度认知障碍患者的后部萎缩可预测痴呆发生时间。
Alzheimers Res Ther. 2017 Dec 16;9(1):99. doi: 10.1186/s13195-017-0326-y.
3
Cognition, brain atrophy, and cerebrospinal fluid biomarkers changes from preclinical to dementia stage of Alzheimer's disease and the influence of apolipoprotein e.从阿尔茨海默病临床前期到痴呆阶段的认知、脑萎缩和脑脊液生物标志物变化以及载脂蛋白E的影响
J Alzheimers Dis. 2015;45(1):253-68. doi: 10.3233/JAD-142451.
4
Progression to dementia in memory clinic patients with mild cognitive impairment and normal β-amyloid.记忆门诊中伴有正常β-淀粉样蛋白的轻度认知障碍患者向痴呆的进展。
Alzheimers Res Ther. 2019 Dec 5;11(1):99. doi: 10.1186/s13195-019-0557-1.
5
Injury markers but not amyloid markers are associated with rapid progression from mild cognitive impairment to dementia in Alzheimer's disease.在阿尔茨海默病患者中,与从轻度认知障碍向痴呆快速进展相关的是损伤标志物,而不是淀粉样蛋白标志物。
J Alzheimers Dis. 2012;29(2):319-27. doi: 10.3233/JAD-2011-111694.
6
Cerebrospinal fluid synaptosomal-associated protein 25 is a key player in synaptic degeneration in mild cognitive impairment and Alzheimer's disease.脑脊液突触体相关蛋白 25 是轻度认知障碍和阿尔茨海默病中突触退化的关键因素。
Alzheimers Res Ther. 2018 Aug 16;10(1):80. doi: 10.1186/s13195-018-0407-6.
7
Interpreting Biomarker Results in Individual Patients With Mild Cognitive Impairment in the Alzheimer's Biomarkers in Daily Practice (ABIDE) Project.阿尔茨海默病生物标志物日常实践(ABIDE)项目中个体轻度认知障碍患者生物标志物结果的解读
JAMA Neurol. 2017 Dec 1;74(12):1481-1491. doi: 10.1001/jamaneurol.2017.2712.
8
A biomarker study in long-lasting amnestic mild cognitive impairment.一项针对持续性遗忘型轻度认知障碍的生物标志物研究。
Alzheimers Res Ther. 2018 Apr 25;10(1):42. doi: 10.1186/s13195-018-0369-8.
9
Predicting Cognitive Decline in Amyloid-Positive Patients With Mild Cognitive Impairment or Mild Dementia.预测伴有轻度认知障碍或轻度痴呆的淀粉样蛋白阳性患者的认知能力下降。
Neurology. 2024 Aug 13;103(3):e209605. doi: 10.1212/WNL.0000000000209605. Epub 2024 Jul 10.
10
Spatial Patterns of Longitudinal Gray Matter Change as Predictors of Concurrent Cognitive Decline in Amyloid Positive Healthy Subjects.淀粉样蛋白阳性健康受试者纵向灰质变化的空间模式作为并发认知衰退的预测指标
J Alzheimers Dis. 2017;55(1):343-358. doi: 10.3233/JAD-160327.

引用本文的文献

1
No sex differences in the association between regional brain structure abnormalities and cognitive functioning in a geriatric memory clinic population.在老年记忆门诊人群中,区域脑结构异常与认知功能之间的关联不存在性别差异。
Aging Brain. 2025 May 4;7:100137. doi: 10.1016/j.nbas.2025.100137. eCollection 2025.
2
ɛ4 exacerbates age-dependent deficits in cortical microstructure.ε4加剧了皮质微结构中与年龄相关的缺陷。
Brain Commun. 2024 Feb 21;6(1):fcad351. doi: 10.1093/braincomms/fcad351. eCollection 2024.
3
Deep learning for risk-based stratification of cognitively impaired individuals.

本文引用的文献

1
Suspected non-Alzheimer disease pathophysiology--concept and controversy.疑似非阿尔茨海默病的病理生理学——概念与争议
Nat Rev Neurol. 2016 Feb;12(2):117-24. doi: 10.1038/nrneurol.2015.251. Epub 2016 Jan 18.
2
Different definitions of neurodegeneration produce similar amyloid/neurodegeneration biomarker group findings.神经退行性变的不同定义产生了相似的淀粉样蛋白/神经退行性变生物标志物组研究结果。
Brain. 2015 Dec;138(Pt 12):3747-59. doi: 10.1093/brain/awv283. Epub 2015 Sep 30.
3
Voxel Level Survival Analysis of Grey Matter Volume and Incident Mild Cognitive Impairment or Alzheimer's Disease.
用于认知障碍个体基于风险分层的深度学习
iScience. 2023 Aug 2;26(9):107522. doi: 10.1016/j.isci.2023.107522. eCollection 2023 Sep 15.
4
Longitudinal associations between β-amyloid and cortical thickness in mild cognitive impairment.轻度认知障碍中β-淀粉样蛋白与皮质厚度之间的纵向关联
Brain Commun. 2023 Jul 4;5(4):fcad192. doi: 10.1093/braincomms/fcad192. eCollection 2023.
5
Detection of emerging neurodegeneration using Bayesian linear mixed-effect modeling.利用贝叶斯线性混合效应建模检测新兴神经退行性疾病。
Neuroimage Clin. 2022;36:103144. doi: 10.1016/j.nicl.2022.103144. Epub 2022 Aug 6.
6
Identifying individuals with Alzheimer's disease-like brains based on structural imaging in the Human Connectome Project Aging cohort.基于人类连接组计划老龄化队列的结构成像来识别具有阿尔茨海默病样大脑的个体。
Hum Brain Mapp. 2021 Dec 1;42(17):5535-5546. doi: 10.1002/hbm.25626. Epub 2021 Sep 28.
7
Amyloid-β, cortical thickness, and subsequent cognitive decline in cognitively normal oldest-old.淀粉样蛋白-β、皮质厚度与认知正常超高龄人群的认知衰退
Ann Clin Transl Neurol. 2021 Feb;8(2):348-358. doi: 10.1002/acn3.51273. Epub 2021 Jan 9.
8
Reversal of Age-Related Neuronal Atrophy by α5-GABAA Receptor Positive Allosteric Modulation.通过α5-GABAA 受体正变构调节逆转与年龄相关的神经元萎缩。
Cereb Cortex. 2021 Jan 5;31(2):1395-1408. doi: 10.1093/cercor/bhaa310.
9
A clinical-radiological framework of the right temporal variant of frontotemporal dementia.右颞叶额颞痴呆的临床放射学框架。
Brain. 2020 Sep 1;143(9):2831-2843. doi: 10.1093/brain/awaa225.
10
Image Based Data Mining Using Per-voxel Cox Regression.基于体素的Cox回归的图像数据挖掘
Front Oncol. 2020 Jul 21;10:1178. doi: 10.3389/fonc.2020.01178. eCollection 2020.
灰质体积与轻度认知障碍或阿尔茨海默病发病的体素水平生存分析
J Alzheimers Dis. 2015;46(1):167-78. doi: 10.3233/JAD-150047.
4
Concordance between cerebrospinal fluid biomarkers and [11C]PIB PET in a memory clinic cohort.记忆门诊队列中脑脊液生物标志物与[11C]PIB PET的一致性
J Alzheimers Dis. 2014;41(3):801-7. doi: 10.3233/JAD-132561.
5
Optimizing patient care and research: the Amsterdam Dementia Cohort.优化患者护理与研究:阿姆斯特丹痴呆症队列研究
J Alzheimers Dis. 2014;41(1):313-27. doi: 10.3233/JAD-132306.
6
Integration and relative value of biomarkers for prediction of MCI to AD progression: spatial patterns of brain atrophy, cognitive scores, APOE genotype and CSF biomarkers.用于预测轻度认知障碍(MCI)向阿尔茨海默病(AD)进展的生物标志物的整合与相对价值:脑萎缩的空间模式、认知评分、载脂蛋白E(APOE)基因型和脑脊液生物标志物
Neuroimage Clin. 2013 Nov 28;4:164-73. doi: 10.1016/j.nicl.2013.11.010. eCollection 2014.
7
Biomarker modeling of Alzheimer's disease.阿尔茨海默病的生物标志物建模。
Neuron. 2013 Dec 18;80(6):1347-58. doi: 10.1016/j.neuron.2013.12.003.
8
Biomarker-based prediction of progression in MCI: Comparison of AD signature and hippocampal volume with spinal fluid amyloid-β and tau.基于生物标志物的 MCI 进展预测:AD 特征和海马体积与脑脊液淀粉样蛋白-β和 tau 的比较。
Front Aging Neurosci. 2013 Oct 11;5:55. doi: 10.3389/fnagi.2013.00055. eCollection 2013.
9
Hippocampal sclerosis of aging, a prevalent and high-morbidity brain disease.衰老相关性海马硬化,一种普遍存在且高发病率的脑部疾病。
Acta Neuropathol. 2013 Aug;126(2):161-77. doi: 10.1007/s00401-013-1154-1. Epub 2013 Jul 18.
10
Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study.淀粉样β沉积、神经退行性变与散发性阿尔茨海默病认知衰退:一项前瞻性队列研究。
Lancet Neurol. 2013 Apr;12(4):357-67. doi: 10.1016/S1474-4422(13)70044-9. Epub 2013 Mar 8.