Genes Nutr. 2010 Sep;5(3):189-203. doi: 10.1007/s12263-010-0167-9. Epub 2010 Feb 3.
The challenge of modern nutrition and health research is to identify food-based strategies promoting life-long optimal health and well-being. This research is complex because it exploits a multitude of bioactive compounds acting on an extensive network of interacting processes. Whereas nutrition research can profit enormously from the revolution in 'omics' technologies, it has discipline-specific requirements for analytical and bioinformatic procedures. In addition to measurements of the parameters of interest (measures of health), extensive description of the subjects of study and foods or diets consumed is central for describing the nutritional phenotype. We propose and pursue an infrastructural activity of constructing the "Nutritional Phenotype database" (dbNP). When fully developed, dbNP will be a research and collaboration tool and a publicly available data and knowledge repository. Creation and implementation of the dbNP will maximize benefits to the research community by enabling integration and interrogation of data from multiple studies, from different research groups, different countries and different-omics levels. The dbNP is designed to facilitate storage of biologically relevant, pre-processed-omics data, as well as study descriptive and study participant phenotype data. It is also important to enable the combination of this information at different levels (e.g. to facilitate linkage of data describing participant phenotype, genotype and food intake with information on study design and-omics measurements, and to combine all of this with existing knowledge). The biological information stored in the database (i.e. genetics, transcriptomics, proteomics, biomarkers, metabolomics, functional assays, food intake and food composition) is tailored to nutrition research and embedded in an environment of standard procedures and protocols, annotations, modular data-basing, networking and integrated bioinformatics. The dbNP is an evolving enterprise, which is only sustainable if it is accepted and adopted by the wider nutrition and health research community as an open source, pre-competitive and publicly available resource where many partners both can contribute and profit from its developments. We introduce the Nutrigenomics Organisation (NuGO, http://www.nugo.org) as a membership association responsible for establishing and curating the dbNP. Within NuGO, all efforts related to dbNP (i.e. usage, coordination, integration, facilitation and maintenance) will be directed towards a sustainable and federated infrastructure.
现代营养与健康研究的挑战在于确定促进终生最佳健康和幸福的基于食物的策略。这项研究很复杂,因为它利用了多种生物活性化合物作用于广泛的相互作用过程网络。虽然营养研究可以从“组学”技术的革命中受益匪浅,但它对分析和生物信息学程序有特定的学科要求。除了测量感兴趣的参数(健康指标)外,广泛描述研究对象和所消耗的食物或饮食对于描述营养表型至关重要。我们提议并开展了构建“营养表型数据库”(dbNP)的基础架构活动。当 dbNP 完全开发后,它将成为一个研究和协作工具,以及一个公开的数据和知识库。通过使来自不同研究组、不同国家和不同组学水平的多个研究的数据集成和查询,创建和实施 dbNP 将使研究界获得最大的收益。dbNP 旨在促进存储生物学相关的、预处理的组学数据,以及研究描述和研究参与者表型数据。使这些信息在不同层次上结合起来也很重要(例如,促进将描述参与者表型、基因型和食物摄入的数据与研究设计和组学测量的信息联系起来,并将所有这些与现有知识相结合)。存储在数据库中的生物学信息(即遗传学、转录组学、蛋白质组学、生物标志物、代谢组学、功能测定、食物摄入和食物成分)针对营养研究进行了定制,并嵌入到标准程序和协议、注释、模块化数据库、网络和集成生物信息学的环境中。dbNP 是一个不断发展的企业,如果它被更广泛的营养和健康研究社区接受并采用为一个开源、非竞争和公开的资源,许多合作伙伴都可以从中受益并为其发展做出贡献,那么它才是可持续的。我们引入营养基因组组织(NuGO,http://www.nugo.org)作为一个负责建立和管理 dbNP 的成员协会。在 NuGO 内部,所有与 dbNP 相关的工作(即使用、协调、集成、促进和维护)都将指向一个可持续和联邦化的基础设施。