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个性化营养的未来方向:我的饮食、我的表型、我的基因。

The future direction of personalised nutrition: my diet, my phenotype, my genes.

机构信息

UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Republic of Ireland.

出版信息

Proc Nutr Soc. 2013 May;72(2):219-25. doi: 10.1017/S0029665112003436. Epub 2013 Jan 30.

Abstract

Although personalised nutrition is frequently considered in the context of diet-gene interactions, increasingly, personalised nutrition is seen to exist at three levels. The first is personalised dietary advice using Internet-delivered services, which ultimately will become automated and which will also draw on mobile phone technology. The second level of personalised dietary advice will include phenotypic information on anthropometry, physical activity, clinical parameters and biochemical markers of nutritional status. It remains possible that in addition to personalised dietary advice based on phenotypic data, advice at that group or metabotype level may be offered where metabotypes are defined by a common metabolic profile. The third level of personalised nutrition will involve the use of genomic data. While the genomic aspect of personalised nutrition is often considered as its main driver, there are significant challenges to translation of data on SNP and diet into personalised advice. The majority of the published data on SNP and diet emanate from observational studies and as such do not offer any cause-effect associations. To achieve this, purpose-designed dietary intervention studies will be needed with subjects recruited according to their genotype. Extensive research indicates that consumers would welcome personalised dietary advice including dietary advice based on their genotype. Unlike personalised medicine where genotype data are linked to the risk of developing a disease, in personalised nutrition the genetic data relate to the optimal diet for a given genotype to reduce disease risk factors and thus there are few ethical and legal issues in personalised nutrition.

摘要

尽管个性化营养经常被认为是在饮食-基因相互作用的背景下,但现在越来越多的人认为个性化营养存在于三个层面。第一个层面是利用互联网提供的服务提供个性化的饮食建议,这些建议最终将实现自动化,并且还将利用移动电话技术。第二个层面的个性化饮食建议将包括人体测量学、身体活动、临床参数和营养状况的生化标志物等表型信息。除了基于表型数据的个性化饮食建议外,还有可能根据代谢类型提供组或代谢类型水平的建议,代谢类型通过共同的代谢特征来定义。个性化营养的第三个层面将涉及基因组数据的使用。虽然个性化营养的基因组方面通常被认为是其主要驱动力,但将 SNP 和饮食数据转化为个性化建议仍然存在重大挑战。关于 SNP 和饮食的大多数已发表数据都来自观察性研究,因此不能提供任何因果关联。为了实现这一点,需要根据基因型招募研究对象,进行专门设计的饮食干预研究。广泛的研究表明,消费者将欢迎个性化的饮食建议,包括基于其基因型的饮食建议。与个性化医学中基因型数据与疾病发生风险相关不同,在个性化营养中,遗传数据与特定基因型的最佳饮食相关,以降低疾病风险因素,因此个性化营养中几乎没有伦理和法律问题。

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