期刊
ALZHEIMERS & DEMENTIA
卷 12, 期 6, 页码 708-718出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jalz.2015.10.010
关键词
Computational modeling; Integrative; Holistic; Complex systems; Risk genes; Transdisciplinary research
资金
- Judith and David Coffey
Alzheimer's disease (AD) is a complex, multifactorial disease that has reached global epidemic proportions. The challenge remains to fully identify its underlying molecular mechanisms that will enable development of accurate diagnostic tools and therapeutics. Conventional experimental approaches that target individual or small sets of genes or proteins may overlook important parts of the regulatory network, which limits the opportunity of identifying multitarget interventions. Our perspective is that a more complete insight into potential treatment options for AD will only be made possible through studying the disease as a system. We propose an integrative systems biology approach that we argue has been largely untapped in AD research. We present key publications to demonstrate the value of this approach and discuss the potential to intensify research efforts in AD through transdisciplinary collaboration. We highlight challenges and opportunities for significant breakthroughs that could be made if a systems biology approach is fully exploited. (C) 2016 The Alzheimer's Association. Published by Elsevier Inc. All rights reserved.
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