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代谢分型:一种用于识别亚组以提供个性化营养建议的工具。

Metabotyping: a tool for identifying subgroups for tailored nutrition advice.

机构信息

UCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Ireland.

UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland.

出版信息

Proc Nutr Soc. 2023 May;82(2):130-141. doi: 10.1017/S0029665123000058. Epub 2023 Feb 2.

Abstract

Diet-related diseases are the leading cause of death globally and strategies to tailor effective nutrition advice are required. Personalised nutrition advice is increasingly recognised as more effective than population-level advice to improve dietary intake and health outcomes. A potential tool to deliver personalised nutrition advice is metabotyping which groups individuals into homogeneous subgroups (metabotypes) using metabolic profiles. In summary, metabotyping has been successfully employed in human nutrition research to identify subgroups of individuals with differential responses to dietary challenges and interventions and diet–disease associations. The suitability of metabotyping to identify clinically relevant subgroups is corroborated by other fields such as diabetes research where metabolic profiling has been intensely used to identify subgroups of patients that display patterns of disease progression and complications. However, there is a paucity of studies examining the efficacy of the approach to improve dietary intake and health parameters. While the application of metabotypes to tailor and deliver nutrition advice is very promising, further evidence from randomised controlled trials is necessary for further development and acceptance of the approach.

摘要

饮食相关疾病是全球范围内导致死亡的主要原因,因此需要制定策略来提供有效的营养建议。个性化营养建议越来越被认为比针对人群的建议更能有效改善饮食摄入和健康结果。代谢分型是提供个性化营养建议的一种潜在工具,它使用代谢谱将个体分为同质的亚组(代谢类型)。总之,代谢分型已成功应用于人类营养研究中,以确定对饮食挑战和干预以及饮食与疾病关联有不同反应的个体亚组。代谢分型识别临床相关亚组的适用性得到了其他领域的证实,如糖尿病研究,在该领域,代谢组学已被广泛用于识别显示疾病进展和并发症模式的患者亚组。然而,目前还缺乏研究来检验该方法改善饮食摄入和健康参数的效果。虽然代谢分型在定制和提供营养建议方面具有广阔的应用前景,但还需要来自随机对照试验的更多证据,以进一步发展和接受该方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afb0/7614614/985814e5fc58/EMS163760-f001.jpg

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