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Challenges of molecular nutrition research 6: the nutritional phenotype database to store, share and evaluate nutritional systems biology studies

机译:分子营养研究的挑战6:存储,共享和评估营养系统生物学研究的营养表型数据库

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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.
机译:现代营养与健康研究的挑战是确定促进终身最佳健康和福祉的以食物为基础的战略。这项研究很复杂,因为它利用了作用于相互作用过程的广泛网络上的多种生物活性化合物。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具有特定学科的要求。除了测量目标参数(健康指标)外,对研究对象以及所食用食物或饮食的广泛描述对于描述营养表型至关重要。我们提议并开展基础活动来构建“营养表型数据库”(dbNP)。全面开发后,dbNP将成为研究和协作工具以及可公开获得的数据和知识存储库。 dbNP的创建和实施,将使来自多个研究,不同研究组,不同国家和不同组学水平的研究数据的集成和询问成为可能,从而最大程度地提高研究界的利益。 dbNP旨在促进存储生物学相关的,预处理的组学数据,以及研究描述性和研究参与者表型数据。同样重要的是,必须在不同级别上组合这些信息(例如,促进描述参与者表型,基因型和食物摄入量的数据与研究设计和组学测量的信息的链接,并将所有这些与现有知识相结合)。数据库中存储的生物学信息(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)专为营养研究量身定制,并嵌入标准程序和规程,注释,模块化数据库环境中,网络和集成生物信息学。 dbNP是一个不断发展的企业,只有当它被更广泛的营养和健康研究界接受并采用为开放源,竞争前和可公开获得的资源,许多合作伙伴都可以为该项目的发展做出贡献并从中获利时,它才是可持续的。我们介绍了营养基因组学组织(NuGO,http://www.nugo.org)作为负责建立和管理dbNP的会员协会。在NuGO内部,所有与dbNP有关的工作(即使用,协调,集成,便利和维护)都将致力于建立一个可持续的联合基础架构。

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