The emerging paradigm of network medicine in the study of human disease.
The emerging paradigm of network medicine in the study of human disease.
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DOI：
10.1161/circresaha.111.258541
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发表时间：
2012-07-20
影响因子：
20.1
通讯作者：
Loscalzo J
中科院分区：
文献类型：
--
作者：
Chan SY;Loscalzo J
控制人类疾病的分子通路由分子回路组成，这些分子回路合并成复杂的重叠网络。这些网络通路可能是以协调的方式调节的，但这种调节很难只用还原论原理来解释。新兴的“网络医学”范例提出利用从网络拓扑获得的见解（例如，分子相对于它们的邻居的静态位置）以及网络动态（例如，通过网络的独特信息流）来更好地理解传统方法无法识别的复杂分子互连的致病行为。随着方法的发展，网络医学有可能捕获人类疾病的分子复杂性，同时提供计算方法来辨别这种复杂性如何控制疾病的表现，预后和治疗。本文介绍了网络医学的基本概念，并探讨了基于网络的方法预测人类疾病的个体表现和设计合理的治疗方法的可行性和潜在影响。只要有可能，我们强调将这些原则应用于心血管疾病。
The molecular pathways that govern human disease consist of molecular circuits that coalesce into complex, overlapping networks. These network pathways are presumably regulated in a coordinated fashion, but such regulation has been difficult to decipher using only reductionistic principles. The emerging paradigm of “network medicine” proposes to utilize insights garnered from network topology (e.g., the static position of molecules in relation to their neighbors) as well as network dynamics (e.g., the unique flux of information through the network) to understand better the pathogenic behavior of complex molecular interconnections that traditional methods fail to recognize. As methodologies evolve, network medicine has the potential to capture the molecular complexity of human disease while offering computational methods to discern how such complexity controls disease manifestations, prognosis, and therapy. This review introduces the fundamental concepts of network medicine, and explores the feasibility and potential impact of network-based methods for predicting individual manifestations of human disease and designing rational therapies. Wherever possible, we emphasize the application of these principles to cardiovascular disease.