Network medicine in Cardiovascular Research.
Network medicine in Cardiovascular Research.
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DOI：
10.1093/cvr/cvaa321
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发表时间：
2021-08-29
影响因子：
10.8
通讯作者：
Loscalzo, Joseph
中科院分区：
文献类型：
--
作者：
Lee, Laurel Y;Pandey, Arvind K;Loscalzo, Joseph
生成多组学数据的能力，加上深入描述个体患者的临床表型，有望提高对复杂心血管病理生物学的理解。这些数据的大小和粒度与我们改善复杂心血管疾病的表型-基因型相关性的能力之间仍然存在着重要的脱节。这一缺陷可能是由于传统的简化论分析方法的局限性，这些方法倾向于强调疾病发病机制中的单个分子事件，更适合于描述重叠的分子路径之间的串扰。网络医学是一门迅速发展的学科，它将疾病视为多个相互关联的生物成分之间相互干扰的后果。这一强大的综合方法使复杂疾病机制中的许多重要发现成为可能。在这篇综述中，我们介绍了网络医学的基本概念，并重点介绍了这种方法加速心血管研究的具体例子。我们还回顾了网络医学如何处于有利地位，以促进心血管疾病患者的合理药物设计，特别是强调推进精准医学。
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.