Evidence of different metabolic phenotypes in humans
Evidence of different metabolic phenotypes in humans
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DOI：
10.1073/pnas.0705685105
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发表时间：
2008-02-05
影响因子：
11.1
通讯作者：
Spraul, Manfred
中科院分区：
文献类型：
--
作者：
Assfalg, Michael;Bertini, Ivano;Spraul, Manfred
研究代谢对药物、环境变化和疾病的反应是代谢组学研究的一个新的有前途的领域。代谢指纹可以通过核磁共振（NMR）等分析技术获得。原则上，由于代谢物的出现/消失或浓度变化而引起的这些指纹的改变可以提供早期证据，例如疾病的发病。这种方法的一个主要缺点是个体代谢指纹在日常生活中具有很强的可变性，这更应该被称为代谢“快照”。我们节目。在这里，对人类尿液样本的核磁共振光谱进行彻底的统计分析，揭示了每个人的不变部分特征，可以从每个单一受试者的多个样本分析中提取出来。这一发现(i)提供了个体代谢表型可能存在的证据，（ii）为代谢组学研究开辟了新的视角，基于通过多次样本收集消除日常“噪音”的可能性。
The study of metabolic responses to drugs, environmental changes, and diseases is a new promising area of metabonomic research. Metabolic fingerprints can be obtained by analytical techniques such as nuclear magnetic resonance (NMR). In principle, alterations of these fingerprints due to appearance/disappearance or concentration changes of metabolites can provide early evidences of, for example, onset of diseases. A major drawback in this approach is the strong day-to-day variability of the individual metabolic fingerprint, which should be rather called a metabolic "snapshot." We show. here that a thorough statistical analysis performed on NMR spectra of human urine samples reveals an invariant part characteristic of each person, which can be extracted from the analysis of multiple samples of each single subject. This finding (i) provides evidence that individual metabolic phenotypes may exist and (ii) opens new perspectives to metabonomic studies, based on the possibility of eliminating the daily "noise" by multiple sample collection.