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Paving the Way to Precision Nutrition Through Metabolomics

机译:通过代谢组学为精确营养铺平道路

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Nutrition is an interdisciplinary science that studies the interactions of nutrients with the body in relation to maintenance of health and well-being. Nutrition is highly complex due to the underlying various internal and external factors that could model it. Thus, hacking this complexity requires more holistic and network-based strategies that could unveil these dynamic system interactions at both time and space scales. The ongoing omics era with its high-throughput molecular data generation is paving the way to embrace this complexity and is deeply reshaping the whole field of nutrition. Understanding the future paths of nutrition science is of importance from both translational and clinical perspectives. Basic nutrients which might include metabolites are important in nutrition science. Moreover, metabolites are key biological communication channels and represent an appealing functional readout at the interface of different major influential factors that define health and disease. Metabolomics is the technology that enables holistic and systematic analyses of metabolites in a biological system. Hence, given its intrinsic functionality, its tight connection to metabolism and its high clinical actionability potential, metabolomics is a very appealing technology for nutrition science. The ultimate goal is to deliver a tailored and clinically relevant nutritional recommendations and interventions to achieve precision nutrition. This work intends to present an update on the applications of metabolomics to personalize nutrition in translational and clinical settings. It also discusses the current conceptual shifts that are remodeling clinical nutrition practices in this Precision Medicine era. Finally, perspectives of clinical nutrition in the ever-growing, data-driven healthcare landscape are presented.
机译:营养是一门跨学科的科学,研究营养素与人体之间的相互作用,以维持健康和福祉。由于潜在的各种内部和外部因素可以对营养进行建模,因此营养非常复杂。因此,破解这种复杂性需要更全面和基于网络的策略,这些策略可以揭示时空尺度上的这些动态系统交互。正在进行的组学时代及其高通量分子数据生成,为应对这种复杂性铺平了道路,并正在深刻改变整个营养领域。从转化和临床的角度来看,了解营养科学的未来道路都非常重要。在营养科学中,可能包括代谢物的基本营养素很重要。此外,代谢物是关键的生物交流渠道,代表了在定义健康和疾病的不同主要影响因素的界面上引人入胜的功能读数。代谢组学是一种能够对生物系统中的代谢物进行整体和系统分析的技术。因此,鉴于其固有的功能性,与代谢的紧密联系以及极高的临床可操作性潜力,代谢组学是营养科学中非常有吸引力的技术。最终目标是提供量身定制且与临床相关的营养建议和干预措施,以实现精确营养。这项工作旨在提供有关代谢组学在转化和临床环境中个性化营养的应用方面的最新信息。它还讨论了正在重塑这个精准医学时代临床营养实践的当前概念转变。最后,介绍了在日益增长的,数据驱动的医疗保健领域中临床营养的观点。

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