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利用代谢组学进行营养研究。

Harnessing metabolomics for nutrition research.

机构信息

Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, Ontario, N1G 2W1, Canada.

出版信息

Curr Pharm Biotechnol. 2011 Jul;12(7):1005-15. doi: 10.2174/138920111795909113.

DOI:10.2174/138920111795909113
PMID:21466460
Abstract

Comprehensive analytical technologies are rapidly becoming a cornerstone of modern nutritional sciences. Two of these technologies, mass spectrometry (MS) and nuclear magnetic resonance (NMR), have proven highly informative for the global analysis of metabolites, commonly referred to as metabolomics. Metabolomics provides a powerful approach to study small molecules in order to better understand the implications and subtle perturbations in metabolism triggered by nutrients. By studying how dietary molecules can modulate the metabolome, researchers have begun to elucidate the molecular pathways by which nutrients affect health and disease, expand the current state of knowledge regarding how inter-individual variability contributes to differences in nutrient metabolism, and develop novel avenues of research for nutritional sciences. Although metabolomics has been more commonly used to study disease states, its use in the nutritional sciences is gaining momentum. The current review is written for the clinical researcher wishing to incorporate metabolomics into dietary intervention studies. This review will highlight the importance and benefit of identifying biomarkers that accurately reflect changes in nutrient intake and metabolism, and present numerous issues that can introduce variability into a dataset and confound a study's biological interpretation, including sample population demographics, the biological specimen selected, diurnal variation, collection methods, and sample storage parameters. Considering these important areas at the experimental design stage will ensure that metabolomics provides a comprehensive and accurate assessment of the molecular impact of a dietary intervention.

摘要

综合分析技术正迅速成为现代营养科学的基石。其中两项技术,质谱(MS)和核磁共振(NMR),已被证明对代谢物的全球分析(通常称为代谢组学)非常有帮助。代谢组学为研究小分子提供了一种强大的方法,以便更好地了解营养物质引发的代谢变化的含义和细微干扰。通过研究膳食分子如何调节代谢组,研究人员开始阐明营养素影响健康和疾病的分子途径,扩展了关于个体间变异性如何导致营养物质代谢差异的现有知识状态,并为营养科学研究开辟了新途径。尽管代谢组学已更常用于研究疾病状态,但它在营养科学中的应用正在获得动力。本综述专为希望将代谢组学纳入饮食干预研究的临床研究人员而写。本文将重点介绍识别准确反映营养摄入和代谢变化的生物标志物的重要性和益处,并提出许多可能会给数据集引入变异性并混淆研究生物学解释的问题,包括样本人群的人口统计学、所选的生物样本、昼夜变化、采集方法和样本储存参数。在实验设计阶段考虑这些重要领域将确保代谢组学对饮食干预的分子影响进行全面而准确的评估。

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