Tebani Abdellah, Bekri Soumeya
Department of Metabolic Biochemistry, Rouen University Hospital, Rouen, France.
Normandie Univ, UNIROUEN, CHU Rouen, INSERM U1245, Rouen, France.
Front Nutr. 2019 Apr 9;6:41. doi: 10.3389/fnut.2019.00041. eCollection 2019.
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.
营养是一门跨学科科学,研究营养素与身体之间的相互作用,以及它们与健康和幸福维持的关系。由于潜在的各种内部和外部因素会对营养产生影响,所以营养非常复杂。因此,破解这种复杂性需要更全面、基于网络的策略,以便在时间和空间尺度上揭示这些动态系统相互作用。当前的组学时代及其高通量分子数据生成,正在为接纳这种复杂性铺平道路,并正在深刻重塑整个营养领域。从转化医学和临床角度来看,了解营养科学的未来发展路径都很重要。基础营养素(可能包括代谢物)在营养科学中很重要。此外,代谢物是关键的生物通讯渠道,并且在界定健康和疾病的不同主要影响因素的界面上代表着一种有吸引力的功能读数。代谢组学是一种能够对生物系统中的代谢物进行全面、系统分析的技术。因此,鉴于其内在功能、与代谢的紧密联系以及较高的临床可操作性潜力,代谢组学对于营养科学来说是一项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,以实现精准营养。这项工作旨在介绍代谢组学在转化医学和临床环境中用于个性化营养的应用的最新情况。它还讨论了在这个精准医学时代正在重塑临床营养实践的当前概念转变。最后,阐述了在不断发展的数据驱动型医疗保健格局中临床营养的前景。