The Exposome and Nutritional Pharmacology and Toxicology: A New Application for Metabolomics

Exposome Pub Date : 2023-11-23 DOI:10.1093/exposome/osad008
Blake R Rushing, A. Thessen, Ghada A Soliman, A. Ramesh, Susan J. Sumner
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Abstract

The exposome refers to all of the internal and external life-long exposures that an individual experiences. These exposures, either acute or chronic, are associated with changes in metabolism that will positively or negatively influence the health and well-being of individuals. Nutrients and other dietary compounds modulate similar biochemical processes and have the potential in some cases to counteract the negative effects of exposures or enhance their beneficial effects. We present herein the concept of Nutritional Pharmacology/Toxicology which uses high-information metabolomics workflows to identify metabolic targets associated with exposures. Using this information, nutritional interventions can be designed toward those targets to mitigate adverse effects or enhance positive effects. We also discuss the potential for this approach in precision nutrition where nutrients/diet can be used to target gene-environment interactions and other subpopulation characteristics. Deriving these “nutrient cocktails” presents an opportunity to modify the effects of exposures for more beneficial outcomes in public health.
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暴露体与营养药理学和毒理学:代谢组学的新应用
暴露体指的是一个人终生经历的所有内部和外部暴露。这些暴露,无论是急性还是慢性,都与新陈代谢的变化有关,会对个人的健康和福祉产生积极或消极的影响。营养素和其他膳食化合物会调节类似的生化过程,在某些情况下有可能抵消暴露的负面影响或增强其有益作用。我们在此提出营养药理学/毒理学的概念,它利用高信息代谢组学工作流程来确定与暴露相关的代谢目标。利用这些信息,可以针对这些靶点设计营养干预措施,以减轻不良影响或增强积极作用。我们还讨论了这种方法在精准营养学中的应用潜力,在精准营养学中,营养素/饮食可用于针对基因-环境相互作用和其他亚人群特征。这些 "鸡尾酒营养素 "的产生为改变暴露效应以获得更有益的公共健康结果提供了机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Exposomics: perfection not required. A long and winding road: Culture change on data sharing in exposomics Interactive data sharing for multiple questionnaire-based exposome-wide association studies and exposome correlations in the Personalized Environment and Genes Study. Questionnaire-based exposome-wide association studies for common diseases in the Personalized Environment and Genes Study. Decoding the exposome: Data science methodologies and implications in Exposome-Wide association studies (ExWASs)
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