Institute for Systems Biology, Seattle, WA, USA.
EMBO Mol Med. 2010 Mar;2(3):79-89. doi: 10.1002/emmm.201000063.
Atherosclerosis, a chronic inflammatory disease of the vascular system, presents significant challenges to developing effective molecular diagnostics and novel therapies. A systems biology approach integrating data from large-scale measurements (e.g. transcriptomics, proteomics and genomics) is successfully contributing to deciphering regulatory networks underlying the response of many different cellular systems to perturbations. Such a network analysis strategy using pathway information and data from multiple measurement platforms, tissues and species is a promising approach to elucidate the mechanistic underpinnings of complex diseases. Here, we present our views on the contributions that a systems approach can bring to the study of atherosclerosis, propose ways to tackle the complexity of the disease in a systems manner and review recent systems-level studies of the disease.
动脉粥样硬化是一种血管系统的慢性炎症性疾病，在开发有效的分子诊断和新型疗法方面带来了重大挑战。系统生物学方法整合了来自大规模测量（例如转录组学、蛋白质组学和基因组学）的数据，成功地有助于破译许多不同细胞系统对干扰的反应的调控网络。这种使用途径信息和来自多个测量平台、组织和物种的数据的网络分析策略是阐明复杂疾病机制基础的有前途的方法。在这里，我们提出了我们对系统方法在动脉粥样硬化研究中所能做出的贡献的看法，提出了以系统方式解决疾病复杂性的方法，并回顾了最近对该疾病的系统水平研究。
