关键词: Cluster analysis Metabotypes Personalised nutrition Targeted nutrition

Mesh : Diet Health Promotion Humans Nutritional Status Phenotype

来  源:   DOI:10.1017/S0954422419000179   PDF(Sci-hub)

Abstract:
Personalised nutrition is at its simplest form the delivery of dietary advice at an individual level. Incorporating response to different diets has resulted in the concept of precision nutrition. Harnessing the metabolic phenotype to identify subgroups of individuals that respond differentially to dietary interventions is becoming a reality. More specifically, the classification of individuals in subgroups according to their metabolic profile is defined as metabotyping and this approach has been employed to successfully identify differential response to dietary interventions. Furthermore, the approach has been expanded to develop a framework for the delivery of targeted nutrition. The present review examines the application of the metabotype approach in nutrition research with a focus on developing personalised nutrition. Application of metabotyping in longitudinal studies demonstrates that metabotypes can be associated with cardiometabolic risk factors and diet-related diseases while application in interventions can identify metabotypes with differential responses. In general, there is strong evidence that metabolic phenotyping is a promising strategy to identify groups at risk and to potentially improve health promotion at a population level. Future work should verify if targeted nutrition can change behaviours and have an impact on health outcomes.
摘要:
个性化营养是最简单的形式,即在个人层面上提供饮食建议。结合对不同饮食的反应产生了精确营养的概念。利用代谢表型来识别对饮食干预有不同反应的个体亚组正在成为现实。更具体地说,根据代谢谱将亚组中的个体分类定义为代谢分型,该方法已被用于成功识别对饮食干预的差异反应.此外,该方法已得到扩展,以制定提供有针对性的营养的框架。本综述探讨了代谢型方法在营养研究中的应用,重点是开发个性化营养。在纵向研究中应用代谢分型表明,代谢分型可能与心脏代谢危险因素和饮食相关疾病有关,而在干预措施中的应用可以识别具有差异反应的代谢分型。总的来说,有强有力的证据表明,代谢表型分析是一种有前景的策略,可用于识别高危人群,并有可能在人群水平上改善健康促进.未来的工作应该验证有针对性的营养是否可以改变行为并对健康结果产生影响。
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