4.7 Article

Unraveling the mechanistic complexity of Alzheimer's disease through systems biology

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

  1. Judith and David Coffey

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据