Gibney Michael J, Walsh Marianne, Brennan Lorraine, Roche Helen M, German Bruce, van Ommen Ben
Nutrition Unit, Department of Clinical Medicine, Trinity College, Dublin, Ireland.
Am J Clin Nutr. 2005 Sep;82(3):497-503. doi: 10.1093/ajcn.82.3.497.
Metabolomics has been widely adopted in pharmacology and toxicology but is relatively new in human nutrition. The ultimate goal, to understand the effects of exogenous compounds on human metabolic regulation, is similar in all 3 fields. However, the application of metabolomics to nutritional research will be met with unique challenges. Little is known of the extent to which changes in the nutrient content of the human diet elicit changes in metabolic profiles. Moreover, the metabolomic signal from nutrients absorbed from the diet must compete with the myriad of nonnutrient signals that are absorbed, metabolized, and secreted in both urine and saliva. The large-bowel microflora also produces significant metabolic signals that can contribute to and alter the metabolome of biofluids in human nutrition. Notwithstanding these possible confounding effects, every reason exists to be optimistic about the potential of metabolomics for the assessment of various biofluids in nutrition research. This potential lies both in metabolic profiling through the use of pattern-recognition statistics on assigned and unassigned metabolite signals and in the collection of comprehensive data sets of identified metabolites; both objectives have the potential to distinguish between different dietary treatments, which would not have been targeted with conventional techniques. The latter objective sets out a well-recognized challenge to modern biology: the development of libraries of small molecules to aid in metabolite identification. The purpose of the present review was to highlight some early challenges that need to be addressed if metabolomics is to realize its great potential in human nutrition.
代谢组学已在药理学和毒理学中得到广泛应用,但在人类营养学中相对较新。这三个领域的最终目标都是了解外源性化合物对人体代谢调节的影响,这一点是相似的。然而,将代谢组学应用于营养研究将面临独特的挑战。人们对人类饮食中营养成分的变化在多大程度上引发代谢谱的变化知之甚少。此外,从饮食中吸收的营养物质产生的代谢组学信号必须与尿液和唾液中吸收、代谢和分泌的大量非营养信号相竞争。大肠微生物群也会产生重要的代谢信号,这些信号会影响并改变人类营养中生物流体的代谢组。尽管存在这些可能的混杂效应,但我们完全有理由对代谢组学在营养研究中评估各种生物流体的潜力持乐观态度。这种潜力既在于通过对已分配和未分配的代谢物信号使用模式识别统计进行代谢谱分析,也在于收集已鉴定代谢物的综合数据集;这两个目标都有可能区分不同的饮食处理方式,而传统技术无法针对这些方式。后一个目标给现代生物学提出了一个公认的挑战:开发小分子库以帮助代谢物鉴定。本综述的目的是强调如果代谢组学要在人类营养中发挥其巨大潜力,一些早期需要解决的挑战。