• 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

我们能多早诊断阿尔茨海默病(以及这是否足够)?2017 年瓦滕伯格讲座。

How early can we diagnose Alzheimer disease (and is it sufficient)? The 2017 Wartenberg lecture.

机构信息

From the Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN.

出版信息

Neurology. 2018 Aug 28;91(9):395-402. doi: 10.1212/WNL.0000000000006088. Epub 2018 Aug 8.

DOI:10.1212/WNL.0000000000006088
PMID:30089620
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6133623/
Abstract

A seismic shift in our understanding of the ability to diagnose Alzheimer disease (AD) is occurring. For the last several decades, AD has been a clinical-pathologic diagnosis, and this conceptualization of the disease has served the field well. Typically, the clinician would identify a syndrome such as mild cognitive impairment or dementia, and label the condition as "probable AD" since the diagnosis of definite AD could not be made until an autopsy revealed the presence of amyloid plaques and tau-based neurofibrillary tangles. However, with the advent of biomarkers for AD including neuroimaging and CSF, the identification of AD pathology can be made in life, which greatly enhances the ability of clinicians to be precise about the underlying etiology of a clinical syndrome. Hypothetical models of the temporal relation among the pathologic elements and the clinical symptoms have been proposed and have influenced the field enormously. This has enabled clinicians to be specific about the underlying cause of a given clinical syndrome. As such, the diagnostic capability of the clinician is evolving. However, AD pathology is only a component of the puzzle describing the causes of cognitive changes in aging. Most often, there is a multitude of pathologic entities contributing to the neuropathologic explanation of cognitive changes in aging. AD changes contribute important elements to the diagnosis, but the final answer is more complex. The field of aging and dementia will have to incorporate these additional elements.

摘要

我们对阿尔茨海默病(AD)诊断能力的理解正在发生重大转变。在过去的几十年里,AD 一直是一种临床病理诊断,这种疾病的概念很好地服务于该领域。通常,临床医生会识别出轻度认知障碍或痴呆等综合征,并将其标记为“可能的 AD”,因为只有在尸检显示出淀粉样斑块和基于 tau 的神经纤维缠结时,才能做出明确的 AD 诊断。然而,随着 AD 的生物标志物(包括神经影像学和 CSF)的出现,可以在生前识别 AD 病理,这极大地增强了临床医生确定临床综合征潜在病因的能力。已经提出了病理元素与临床症状之间的时间关系的假设模型,并对该领域产生了巨大影响。这使临床医生能够针对特定的临床综合征的潜在病因进行具体诊断。因此,临床医生的诊断能力正在发展。然而,AD 病理只是描述衰老过程中认知变化原因的难题的一个组成部分。通常情况下,有多种病理实体导致衰老过程中的认知变化的病理解释。AD 变化对诊断有重要贡献,但最终答案更为复杂。老龄化和痴呆领域将不得不纳入这些额外的因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8816/6133623/6139b16ae157/NEUROLOGY2018886754FF5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8816/6133623/773ffc2f0ad7/NEUROLOGY2018886754FF1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8816/6133623/43e9e617da55/NEUROLOGY2018886754FF2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8816/6133623/f82a9301dcb3/NEUROLOGY2018886754FF3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8816/6133623/33e4c41cdda8/NEUROLOGY2018886754FF4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8816/6133623/6139b16ae157/NEUROLOGY2018886754FF5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8816/6133623/773ffc2f0ad7/NEUROLOGY2018886754FF1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8816/6133623/43e9e617da55/NEUROLOGY2018886754FF2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8816/6133623/f82a9301dcb3/NEUROLOGY2018886754FF3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8816/6133623/33e4c41cdda8/NEUROLOGY2018886754FF4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8816/6133623/6139b16ae157/NEUROLOGY2018886754FF5.jpg

相似文献

1
How early can we diagnose Alzheimer disease (and is it sufficient)? The 2017 Wartenberg lecture.我们能多早诊断阿尔茨海默病(以及这是否足够)?2017 年瓦滕伯格讲座。
Neurology. 2018 Aug 28;91(9):395-402. doi: 10.1212/WNL.0000000000006088. Epub 2018 Aug 8.
2
A brief history of "Alzheimer disease": Multiple meanings separated by a common name.阿尔茨海默病简史:一个共同名称下的多重含义。
Neurology. 2019 May 28;92(22):1053-1059. doi: 10.1212/WNL.0000000000007583. Epub 2019 Apr 26.
3
Characterizing Apolipoprotein E ε4 Carriers and Noncarriers With the Clinical Diagnosis of Mild to Moderate Alzheimer Dementia and Minimal β-Amyloid Peptide Plaques.用有轻度至中度阿尔茨海默病和最小β-淀粉样肽斑块的临床诊断来描述载脂蛋白 E ε4 携带者和非携带者。
JAMA Neurol. 2015 Oct;72(10):1124-31. doi: 10.1001/jamaneurol.2015.1721.
4
Absence of Pittsburgh compound B detection of cerebral amyloid beta in a patient with clinical, cognitive, and cerebrospinal fluid markers of Alzheimer disease: a case report.一名具有阿尔茨海默病临床、认知及脑脊液标志物的患者中匹兹堡化合物B检测未发现脑淀粉样β蛋白:病例报告
Arch Neurol. 2009 Dec;66(12):1557-62. doi: 10.1001/archneurol.2009.279.
5
Testing the 2018 NIA-AA research framework in a retrospective large cohort of patients with cognitive impairment: from biological biomarkers to clinical syndromes.在一个回顾性的认知障碍大患者队列中测试 2018 年 NIA-AA 研究框架:从生物标志物到临床综合征。
Alzheimers Res Ther. 2019 Oct 15;11(1):84. doi: 10.1186/s13195-019-0543-7.
6
Cerebrospinal fluid {beta}-amyloid 42 and tau proteins as biomarkers of Alzheimer-type pathologic changes in the brain.脑脊液β淀粉样蛋白42和tau蛋白作为大脑中阿尔茨海默病型病理变化的生物标志物。
Arch Neurol. 2009 Mar;66(3):382-9. doi: 10.1001/archneurol.2008.596.
7
Alzheimer's disease.阿尔茨海默病
Subcell Biochem. 2012;65:329-52. doi: 10.1007/978-94-007-5416-4_14.
8
Diagnostic and Prognostic Utility of the Synaptic Marker Neurogranin in Alzheimer Disease.神经颗粒素在阿尔茨海默病中的诊断和预后价值。
JAMA Neurol. 2016 May 1;73(5):561-71. doi: 10.1001/jamaneurol.2016.0086.
9
Examination of the clinicopathologic continuum of Alzheimer disease in the autopsy cohort of the National Alzheimer Coordinating Center.国家阿尔茨海默病协调中心尸检队列中阿尔茨海默病的临床病理连续统研究。
J Neuropathol Exp Neurol. 2013 Dec;72(12):1182-92. doi: 10.1097/NEN.0000000000000016.
10
Neuropathology and cognitive impairment in Alzheimer disease: a complex but coherent relationship.阿尔茨海默病中的神经病理学与认知障碍:一种复杂但连贯的关系。
J Neuropathol Exp Neurol. 2009 Jan;68(1):1-14. doi: 10.1097/NEN.0b013e3181919a48.

引用本文的文献

1
Statistical Method for Identification of Alzheimer Disease With Multimodal Predictive Markers Mild Cognitive Impairment.基于多模态预测标志物的轻度认知障碍患者阿尔茨海默病识别统计方法
Basic Clin Neurosci. 2025;16(Spec Issue):233-250. doi: 10.32598/bcn.2024.2034.7. Epub 2025 Mar 18.
2
Patterns of Factors in the National Institute on Aging Health Disparities Research Framework Domains and Mild Cognitive Impairment Risk.美国国立衰老研究所健康差异研究框架领域中的因素模式与轻度认知障碍风险
AJPM Focus. 2025 Feb 17;4(3):100324. doi: 10.1016/j.focus.2025.100324. eCollection 2025 Jun.
3
Metformin effectively alleviates the symptoms of Alzheimer in rats by lowering amyloid β deposition and enhancing the insulin signal.

本文引用的文献

1
Subjective cognitive decline and risk of MCI: The Mayo Clinic Study of Aging.主观认知衰退与 MCI 风险:梅奥诊所老龄化研究。
Neurology. 2018 Jul 24;91(4):e300-e312. doi: 10.1212/WNL.0000000000005863. Epub 2018 Jun 29.
2
NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease.NIA-AA 研究框架:迈向阿尔茨海默病的生物学定义。
Alzheimers Dement. 2018 Apr;14(4):535-562. doi: 10.1016/j.jalz.2018.02.018.
3
Practice guideline update summary: Mild cognitive impairment: Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology.
二甲双胍通过降低淀粉样 β 沉积和增强胰岛素信号有效缓解了大鼠的阿尔茨海默病症状。
Metab Brain Dis. 2024 Nov 25;40(1):41. doi: 10.1007/s11011-024-01422-8.
4
Unraveling the Mysteries of Alzheimer's Disease Using Artificial Intelligence.利用人工智能揭开阿尔茨海默病之谜。
Rev Recent Clin Trials. 2025;20(2):124-141. doi: 10.2174/0115748871330861241030143321.
5
An interpretable deep learning framework identifies proteomic drivers of Alzheimer's disease.一个可解释的深度学习框架识别出阿尔茨海默病的蛋白质组驱动因素。
Front Cell Dev Biol. 2024 Sep 17;12:1379984. doi: 10.3389/fcell.2024.1379984. eCollection 2024.
6
Associations of vitamin D receptor polymorphisms with risk of Alzheimer's disease, Parkinson's disease, and mild cognitive impairment: a systematic review and meta-analysis.维生素D受体基因多态性与阿尔茨海默病、帕金森病及轻度认知障碍风险的关联:一项系统综述和荟萃分析
Front Aging Neurosci. 2024 Apr 12;16:1377058. doi: 10.3389/fnagi.2024.1377058. eCollection 2024.
7
Machine Learning Predicts Conversion from Normal Aging to Mild Cognitive Impairment Using Medical History, APOE Genotype, and Neuropsychological Assessment.机器学习利用病史、载脂蛋白E基因型和神经心理学评估预测从正常衰老到轻度认知障碍的转变。
J Alzheimers Dis. 2024;98(1):83-94. doi: 10.3233/JAD-230556.
8
Early ultrasonic vocalization deficits and related thyroarytenoid muscle pathology in the transgenic TgF344-AD rat model of Alzheimer's disease.阿尔茨海默病转基因TgF344-AD大鼠模型中的早期超声发声缺陷及相关的甲杓肌病理变化
Front Behav Neurosci. 2024 Jan 23;17:1294648. doi: 10.3389/fnbeh.2023.1294648. eCollection 2023.
9
Amplified fluorogenic immunoassay for early diagnosis and monitoring of Alzheimer's disease from tear fluid.基于放大荧光免疫分析的阿尔茨海默病早期诊断和监测的眼内液检测方法。
Nat Commun. 2023 Dec 9;14(1):8153. doi: 10.1038/s41467-023-43995-5.
10
Experiences of Family Caregivers Caring for Patient with Alzheimer's Disease: A Hermeneutic Phenomenological Study.照顾阿尔茨海默病患者的家庭照顾者的经历:一项诠释现象学研究。
J Caring Sci. 2023 Sep 4;12(3):136-143. doi: 10.34172/jcs.2023.33098. eCollection 2023 Sep.
实践指南更新概要:轻度认知障碍:美国神经病学学会指南制定、传播和实施小组委员会的报告。
Neurology. 2018 Jan 16;90(3):126-135. doi: 10.1212/WNL.0000000000004826. Epub 2017 Dec 27.
4
Multiple comorbid neuropathologies in the setting of Alzheimer's disease neuropathology and implications for drug development.阿尔茨海默病神经病理学背景下的多种合并神经病理学及其对药物研发的影响。
Alzheimers Dement (N Y). 2016 Sep 20;3(1):83-91. doi: 10.1016/j.trci.2016.09.002. eCollection 2017 Jan.
5
Implementation of subjective cognitive decline criteria in research studies.研究中主观认知衰退标准的实施。
Alzheimers Dement. 2017 Mar;13(3):296-311. doi: 10.1016/j.jalz.2016.09.012. Epub 2016 Nov 5.
6
Defining imaging biomarker cut points for brain aging and Alzheimer's disease.定义脑老化和阿尔茨海默病的影像学生物标志物切点。
Alzheimers Dement. 2017 Mar;13(3):205-216. doi: 10.1016/j.jalz.2016.08.005. Epub 2016 Sep 30.
7
Preclinical Alzheimer's disease: Definition, natural history, and diagnostic criteria.临床前阿尔茨海默病:定义、自然史及诊断标准。
Alzheimers Dement. 2016 Mar;12(3):292-323. doi: 10.1016/j.jalz.2016.02.002.
8
Transition rates between amyloid and neurodegeneration biomarker states and to dementia: a population-based, longitudinal cohort study.淀粉样蛋白与神经退行性变生物标志物状态之间以及向痴呆症转变的速率:一项基于人群的纵向队列研究。
Lancet Neurol. 2016 Jan;15(1):56-64. doi: 10.1016/S1474-4422(15)00323-3. Epub 2015 Nov 18.
9
Independent information from cerebrospinal fluid amyloid-β and florbetapir imaging in Alzheimer's disease.阿尔茨海默病中脑脊液淀粉样蛋白-β与氟代硼吡咯(florbetapir)成像的独立信息
Brain. 2015 Mar;138(Pt 3):772-83. doi: 10.1093/brain/awu367. Epub 2014 Dec 24.
10
Self-reported memory complaints: implications from a longitudinal cohort with autopsies.自我报告的记忆问题:来自一个有尸检的纵向队列研究的启示
Neurology. 2014 Oct 7;83(15):1359-65. doi: 10.1212/WNL.0000000000000856. Epub 2014 Sep 24.