King's British Heart Foundation Centre, King's College London, 125 Coldharbour Lane, London SE5 9NU, UK.
Cardiovasc Res. 2013 Mar 15;97(4):612-22. doi: 10.1093/cvr/cvs346. Epub 2012 Nov 23.
The conventional reductionist approach to cardiovascular research investigates individual candidate factors or linear signalling pathways but ignores more complex interactions in biological systems. The advent of molecular profiling technologies that focus on a global characterization of whole complements allows an exploration of the interconnectivity of pathways during pathophysiologically relevant processes, but has brought about the issue of statistical analysis and data integration. Proteins identified by differential expression as well as those in protein-protein interaction networks identified through experiments and through computational modelling techniques can be used as an initial starting point for functional analyses. In combination with other '-omics' technologies, such as transcriptomics and metabolomics, proteomics explores different aspects of disease, and the different pillars of observations facilitate the data integration in disease-specific networks. Ultimately, a systems biology approach may advance our understanding of cardiovascular disease processes at a 'biological pathway' instead of a 'single molecule' level and accelerate progress towards disease-modifying interventions.
传统的心血管研究还原论方法研究个别候选因素或线性信号通路，但忽略了生物系统中更复杂的相互作用。专注于全面描述整个系统的分子分析技术的出现，允许在与病理生理过程相关的过程中探索途径的互联性，但也带来了统计分析和数据集成的问题。通过差异表达鉴定的蛋白质以及通过实验和计算建模技术鉴定的蛋白质-蛋白质相互作用网络中的蛋白质可作为功能分析的初始起点。与其他“组学”技术（如转录组学和代谢组学）相结合，蛋白质组学探索疾病的不同方面，不同观察支柱有助于在特定疾病的网络中进行数据集成。最终，系统生物学方法可能会提高我们对心血管疾病过程的理解，从“生物途径”而不是“单个分子”水平，并加速朝着疾病修饰干预的方向发展。
