Maron Bradley A, Leopold Jane A
Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Department of Cardiology, Boston VA Healthcare System, Boston, MA, USA.
Glob Cardiol Sci Pract. 2016 Sep 30;2016(3):e201627. doi: 10.21542/gcsp.2016.27.
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.
还原论认为,要解决问题就需要根据最基本的组成部分来分析复杂系统,并且在四个多世纪以来一直是科学方法论的基石。然而,当前科学时代的技术进步使得能够生成大量数据集,这些数据集描绘了生物系统在一系列条件下的蛋白质组学、基因组学和代谢组学特征。如此大规模数据的可获取性反过来凸显了还原论的局限性,还原论不利于对途径内或跨构建体的中间体之间的多种同时发生的相互作用进行分析。系统生物学已作为一种分析复杂生物系统的替代方法而出现。这种方法基于无标度网络的生成,因此能够对感兴趣的途径内和途径之间的多种中间体(如蛋白质 - 蛋白质相互作用)之间的关系进行定量评估。通过这种方式,系统生物学非常适合识别与疾病发病机制或治疗相关的新靶点。在这篇综述中,我们将讨论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,特别强调将这些概念整合起来以进一步理解心血管疾病,如冠状动脉疾病和肺动脉高压。