A systems-based model of Alzheimer's disease

被引：29

作者：

Tang, Yi ^{[1
]}

Lutz, Michael W. ^{[2
]}

Xing, Yi ^{[1
]}

机构：

[1] Capital Med Univ, Xuan Wu Hosp, Dept Neurol, Innovat Ctr Neurol Disorders, Beijing, Peoples R China

[2] Duke Univ, Sch Med, Dept Neurol, Durham, NC USA

来源：

ALZHEIMERS & DEMENTIA | 2019年 / 15卷 / 01期

基金：

中国国家自然科学基金; 国家重点研发计划;

关键词：

Alzheimer's disease; NIA-AA research framework; Model; Systems biology; Common pathway; A-BETA; DEFICITS;

D O I：

10.1016/j.jalz.2018.06.3058

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

The new National Institute on Aging and the Alzheimer's Association Research Framework for Alzheimer's disease has been developed to accelerate drug discovery and offer a common structure and language to construct new Alzheimer's disease conceptual models. However, as a "complex" disease, a model based on systems-level understanding is needed to accommodate the complex, interacting etiologic pathways and the system-level changes associated with Alzheimer's disease pathogenesis and interventions that are currently known and which will be identified in the future. To accomplish this, the evolution of the structure of the research framework itself should be encouraged. (C) 2018 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

引用

页码：168 / 171

页数：4

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