A systems-based model of Alzheimer's disease

Yi Tang; Michael W Lutz; Yi Xing

doi:10.1016/j.jalz.2018.06.3058

A systems-based model of Alzheimer's disease

Alzheimers Dement. 2019 Jan;15(1):168-171. doi: 10.1016/j.jalz.2018.06.3058. Epub 2018 Aug 10.

Authors

Yi Tang¹, Michael W Lutz², Yi Xing³

Affiliations

¹ Innovation Center for Neurological Disorders, Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China. Electronic address: tangyixw@163.com.
² Department of Neurology, Duke University School of Medicine, Durham, NC, USA.
³ Innovation Center for Neurological Disorders, Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China.

PMID: 30102884
DOI: 10.1016/j.jalz.2018.06.3058

Abstract

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.

Keywords: Alzheimer's disease; Common pathway; Model; NIA-AA research framework; Systems biology.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Alzheimer Disease / pathology*
Humans
National Institute on Aging (U.S.)
Systems Biology*
United States