A systems approach to infectious disease.,Nature Reviews Genetics

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A systems approach to infectious disease.
Nature Reviews Genetics ( IF 39.1 ) Pub Date : 2020-02-14 , DOI: 10.1038/s41576-020-0212-5
Manon Eckhardt _{1,

2,

3} , Judd F Hultquist _{1,

2,

3,

4} , Robyn M Kaake _{1,

2,

3} , Ruth Hüttenhain _{1,

2,

3} , Nevan J Krogan _{1,

2,

3}

Affiliation

Ongoing social, political and ecological changes in the 21st century have placed more people at risk of life-threatening acute and chronic infections than ever before. The development of new diagnostic, prophylactic, therapeutic and curative strategies is critical to address this burden but is predicated on a detailed understanding of the immensely complex relationship between pathogens and their hosts. Traditional, reductionist approaches to investigate this dynamic often lack the scale and/or scope to faithfully model the dual and co-dependent nature of this relationship, limiting the success of translational efforts. With recent advances in large-scale, quantitative omics methods as well as in integrative analytical strategies, systems biology approaches for the study of infectious disease are quickly forming a new paradigm for how we understand and model host-pathogen relationships for translational applications. Here, we delineate a framework for a systems biology approach to infectious disease in three parts: discovery - the design, collection and analysis of omics data; representation - the iterative modelling, integration and visualization of complex data sets; and application - the interpretation and hypothesis-based inquiry towards translational outcomes.

中文翻译：

传染病的系统方法。

21 世纪持续的社会、政治和生态变化使更多的人比以往任何时候都面临危及生命的急性和慢性感染的风险。开发新的诊断、预防、治疗和治愈策略对于解决这一负担至关重要，但前提是详细了解病原体与其宿主之间极其复杂的关系。研究这种动态的传统还原论方法通常缺乏规模和/或范围来忠实地模拟这种关系的双重和相互依赖的性质，从而限制了转化努力的成功。随着大规模定量组学方法以及综合分析策略的最新进展，用于研究传染病的系统生物学方法正在迅速形成一个新的范式，用于我们如何理解和建模宿主-病原体关系以进行转化应用。在这里，我们描绘了传染病系统生物学方法的框架，分为三个部分：发现——组学数据的设计、收集和分析；表示——复杂数据集的迭代建模、集成和可视化；和应用——对转化结果的解释和基于假设的探究。

更新日期：2020-02-14

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