Systems medicine: the future of medical genomics and healthcare.
Systems medicine: the future of medical genomics and healthcare.
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DOI：
10.1186/gm2
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发表时间：
2009-01-20
期刊：
影响因子：
12.3
通讯作者：
Hood L
中科院分区：
文献类型：
--
作者：
Auffray C;Chen Z;Hood L
DNA测序和转录组、蛋白质组和代谢组分析的高通量技术为破译人类基因组的结构、变异和功能以及将其与健康和疾病状态联系起来奠定了基础。DNA测序效率的提高为分析大量单个基因组和转录组提供了可能性，使用基于色谱、质谱和核磁共振的强大分析技术，完整的参考蛋白质组和代谢组是触手可及的。计算和数学工具使系统方法的发展能够破译复杂生物系统行为背后的功能和调控网络。需要进一步发展这些工具的概念和方法，以整合具有人类发展、生理和疾病特征的多层次组织和时间框架中的各种数据类型。医学基因组学试图克服全基因组关联研究的最初局限性，并已确定了许多复杂和常见疾病的易感基因座数量有限。迭代系统方法开始为人类疾病的机制提供更深入的见解，并促进癌症和许多其他疾病更好的诊断和预后生物标志物的开发。系统方法将通过学术界和工业界的伙伴关系改变药物开发的方式，这些伙伴关系将针对疾病中受到干扰的网络和途径的多个组成部分。它们将使医学成为预测性的、个性化的、预防性的和参与性的，在这一过程中，来自西方和东方文化的概念和方法可以结合起来。我们建议通过致力于跨学科培训和教育的系统生物学和医学中心的国际网络来发展系统医学，以帮助缩小发达国家和发展中国家之间的医疗保健差距。
High-throughput technologies for DNA sequencing and for analyses of transcriptomes, proteomes and metabolomes have provided the foundations for deciphering the structure, variation and function of the human genome and relating them to health and disease states. The increased efficiency of DNA sequencing opens up the possibility of analyzing a large number of individual genomes and transcriptomes, and complete reference proteomes and metabolomes are within reach using powerful analytical techniques based on chromatography, mass spectrometry and nuclear magnetic resonance. Computational and mathematical tools have enabled the development of systems approaches for deciphering the functional and regulatory networks underlying the behavior of complex biological systems. Further conceptual and methodological developments of these tools are needed for the integration of various data types across the multiple levels of organization and time frames that are characteristic of human development, physiology and disease. Medical genomics has attempted to overcome the initial limitations of genome-wide association studies and has identified a limited number of susceptibility loci for many complex and common diseases. Iterative systems approaches are starting to provide deeper insights into the mechanisms of human diseases, and to facilitate the development of better diagnostic and prognostic biomarkers for cancer and many other diseases. Systems approaches will transform the way drugs are developed through academy-industry partnerships that will target multiple components of networks and pathways perturbed in diseases. They will enable medicine to become predictive, personalized, preventive and participatory, and, in the process, concepts and methods from Western and oriental cultures can be combined. We recommend that systems medicine should be developed through an international network of systems biology and medicine centers dedicated to inter-disciplinary training and education, to help reduce the gap in healthcare between developed and developing countries.
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影响因子：
15.8
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通讯作者：
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