Brennan Lorraine
UCD Conway Institute, UCD School of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Republic of Ireland.
Proc Nutr Soc. 2008 Nov;67(4):404-8. doi: 10.1017/S0029665108008719.
Metabolomics aims to profile all small molecules that are present in biological samples such as biofluids, tissue extracts and culture media. Combining the data obtained with multivariate data analysis tools allows the exploration of changes induced by a biological treatment or changes resulting from phenotype. Recently, there has been a large increase in interest in using metabolomics in nutritional research and because of the intimate relationship between nutrients and metabolism there exists great potential for the use of metabolomics within nutritional research. However, for metabolomics to reach its full potential within this field it is also important to be realistic about the challenges that are faced. Examples of such challenges include the necessity to have a clear understanding of the causes of variation in human metabolomic profiles, the effects of the gut microflora on the metabolomic profile and the interaction of the gut microflora with the host's metabolism. A further challenge that is particularly relevant for human nutritional research is the difficulty associated with biological interpretation of the data. Notwithstanding these and other challenges, several examples of successful applications to nutritional research exist. The link between the human metabolic phenotype, as characterised by metabolomic profiles, and dietary preferences proposes the potential role of metabolomics in personalised nutrition.
代谢组学旨在对生物样本(如生物流体、组织提取物和培养基)中存在的所有小分子进行分析。将获得的数据与多变量数据分析工具相结合,可以探索生物处理引起的变化或由表型导致的变化。最近,在营养研究中使用代谢组学的兴趣大幅增加,并且由于营养物质与代谢之间存在密切关系,代谢组学在营养研究中的应用具有巨大潜力。然而,为了使代谢组学在该领域充分发挥其潜力,正视所面临的挑战也很重要。这些挑战的例子包括需要清楚了解人类代谢组学图谱变异的原因、肠道微生物群对代谢组学图谱的影响以及肠道微生物群与宿主代谢的相互作用。对于人类营养研究而言,另一个特别相关的挑战是数据生物学解释的困难。尽管存在这些及其他挑战,但仍有一些在营养研究中成功应用的例子。以代谢组学图谱为特征的人类代谢表型与饮食偏好之间的联系表明了代谢组学在个性化营养中的潜在作用。