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个性化营养中的遗传学和表观遗传学:证据、期望和经验。

Genetics and Epigenetics in Personalized Nutrition: Evidence, Expectations, and Experiences.

机构信息

Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, 81675, Munich, Germany.

Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, 85764, Neuherberg, Germany.

出版信息

Mol Nutr Food Res. 2022 Sep;66(17):e2200077. doi: 10.1002/mnfr.202200077. Epub 2022 Jul 10.

Abstract

With the presentation of the blueprint of the first human genome in 2001 and the advent of technologies for high-throughput genetic analysis, personalized nutrition (PN) becomes a new scientific field and the first commercial offerings of genotype-based nutrition advice emerge at the same time. Here, the state of evidence for the effect of genetic and epigenetic factors in the development of obesity, the metabolic syndrome, and resulting illnesses such as non-insulin-dependent diabetes mellitus and cardiovascular diseases is summarized. This study also critically value the concepts of PN that are built around the new genetic avenue from both the academic and a commercial perspective and their effectiveness in causing sustained changes in diet, lifestyle, and for improving health. Despite almost 20 years of research and commercial direct-to-consumer offerings, evidence for the success of gene-based dietary recommendations is still generally lacking. This calls for new concepts of future PN solutions that incorporate more phenotypic measures and provide a panel of instruments (e.g., self- and bio-monitoring tools, feedback systems, algorithms based on artificial intelligence) that increases compliance based on the individual´s physical and social environment and value system.

摘要

随着 2001 年第一个人类基因组蓝图的呈现和高通量基因分析技术的出现,个性化营养(PN)成为一个新的科学领域,同时也出现了基于基因型的营养建议的第一个商业产品。在这里,总结了遗传和表观遗传因素在肥胖、代谢综合征以及由此产生的疾病(如非胰岛素依赖性糖尿病和心血管疾病)发展中的作用的证据状态。这项研究还从学术和商业的角度批判性地评价了围绕新的遗传途径构建的 PN 概念,以及它们在饮食、生活方式和改善健康方面引起持续变化的有效性。尽管已经进行了近 20 年的研究和直接面向消费者的商业产品,但是基于基因的饮食建议成功的证据仍然普遍缺乏。这需要未来 PN 解决方案的新概念,该概念将纳入更多的表型测量,并提供一组工具(例如,自我和生物监测工具、反馈系统、基于人工智能的算法),根据个人的身体和社会环境以及价值系统来提高依从性。

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