Systems biology: An emerging strategy for discovering novel pathogenetic mechanisms that promote cardiovascular disease.

Systems biology: An emerging strategy for discovering novel pathogenetic mechanisms that promote cardiovascular disease.
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DOI:
10.21542/gcsp.2016.27
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发表时间:
2016-09-30
期刊:
Global cardiology science & practice
影响因子:
--
通讯作者:
Leopold JA
Leopold JA
中科院分区:
其他
文献类型:
--
作者:
Maron BA;Leopold JA

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还原论认为,根据复杂系统的最基本组成部分来分析复杂系统是解决问题所必需的,并且已经作为科学方法论的基石超过四个世纪。然而,当前科学时代的技术进步现在允许生成大型数据集,这些数据集可以在一系列条件下描述生物系统的蛋白质组学,基因组学和代谢组学特征。如此大规模的数据的可访问性反过来又突出了还原论的局限性,这不利于考虑途径内或跨结构的中间体之间的多重和同期相互作用的分析。系统生物学已经成为分析复杂生物系统的另一种方法。这种方法是基于无标度网络的生成,因此,提供了多个中间体之间的关系,如蛋白质-蛋白质相互作用,内部和之间的感兴趣的途径的定量评估。通过这种方式,系统生物学很好地定位于识别与疾病的发病机制或治疗有关的新靶点。在这篇综述中,系统生物学的历史根源和基本基础,以及这种方法的潜在应用进行了讨论,特别强调这些概念的整合,以进一步了解心血管疾病,如冠状动脉疾病和肺动脉高压。
Reductionist theory proposes that analyzing complex systems according to their most fundamental components is required for problem resolution, and has served as the cornerstone of scientific methodology for more than four centuries. However, technological gains in the current scientific era now allow for the generation of large datasets that profile the proteomic, genomic, and metabolomic signatures of biological systems across a range of conditions. The accessibility of data on such a vast scale has, in turn, highlighted the limitations of reductionism, which is not conducive to analyses that consider multiple and contemporaneous interactions between intermediates within a pathway or across constructs. Systems biology has emerged as an alternative approach to analyze complex biological systems. This methodology is based on the generation of scale-free networks and, thus, provides a quantitative assessment of relationships between multiple intermediates, such as protein-protein interactions, within and between pathways of interest. In this way, systems biology is well positioned to identify novel targets implicated in the pathogenesis or treatment of diseases. In this review, the historical root and fundamental basis of systems biology, as well as the potential applications of this methodology are discussed with particular emphasis on integration of these concepts to further understanding of cardiovascular disorders such as coronary artery disease and pulmonary hypertension.