Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.
Department of Cardiology, Boston VA Healthcare System, Boston, MA, USA.
Cardiovasc Res. 2021 Aug 29;117(10):2186-2202. doi: 10.1093/cvr/cvaa321.
The ability to generate multi-omics data coupled with deeply characterizing the clinical phenotype of individual patients promises to improve understanding of complex cardiovascular pathobiology. There remains an important disconnection between the magnitude and granularity of these data and our ability to improve phenotype-genotype correlations for complex cardiovascular diseases. This shortcoming may be due to limitations associated with traditional reductionist analytical methods, which tend to emphasize a single molecular event in the pathogenesis of diseases more aptly characterized by crosstalk between overlapping molecular pathways. Network medicine is a rapidly growing discipline that considers diseases as the consequences of perturbed interactions between multiple interconnected biological components. This powerful integrative approach has enabled a number of important discoveries in complex disease mechanisms. In this review, we introduce the basic concepts of network medicine and highlight specific examples by which this approach has accelerated cardiovascular research. We also review how network medicine is well-positioned to promote rational drug design for patients with cardiovascular diseases, with particular emphasis on advancing precision medicine.
生成多组学数据的能力,加上对个体患者临床表型的深入描述,有望提高对复杂心血管病理生物学的理解。这些数据的数量和粒度与我们提高复杂心血管疾病表型-基因型相关性的能力之间仍然存在着重要的脱节。这种缺陷可能是由于与传统的还原分析方法相关的局限性所致,这些方法往往强调疾病发病机制中单个分子事件,而疾病更恰当地由重叠分子途径之间的串扰来描述。网络医学是一个快速发展的学科,它将疾病视为多个相互关联的生物成分之间受干扰的相互作用的结果。这种强大的综合方法已经促成了复杂疾病机制的许多重要发现。在这篇综述中,我们介绍了网络医学的基本概念,并通过具体的例子强调了这种方法如何加速心血管研究。我们还回顾了网络医学如何为心血管疾病患者的合理药物设计提供了有利条件,特别强调了推进精准医学。