Study of metabolite composition of eccrine sweat from healthy male and female human subjects by 1H NMR spectroscopy
Study of metabolite composition of eccrine sweat from healthy male and female human subjects by 1H NMR spectroscopy
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DOI：
10.1007/s11306-006-0024-4
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发表时间：
2006-09-01
期刊：
影响因子：
3.6
通讯作者：
Daykin, Clare A.
中科院分区：
文献类型：
--
作者：
Harker, Mark;Coulson, Helen;Daykin, Clare A.
该研究的目的是使用基于代谢学的方法评估人类汗液中代谢物的变异性。汗液是一种稀释的电解质溶液，其主要功能是通过蒸发冷却来控制体温。虽然汗液的成分主要是水，但先前的研究表明，汗液中也存在多种有机和无机化合物。利用高分辨率H-1核磁共振（NMR）波谱技术结合统计模式识别技术，对30名女性和30名男性受试者的人体汗液样本进行了分析。高分辨率的H-1核磁共振光谱产生了汗液样品的光谱，很容易识别和量化许多不同的代谢物。发现存在的主要代谢物类别是乳酸，氨基酸和脂质，乳酸是迄今为止在所有样品中发现的最主要的代谢物。主成分分析、主成分判别分析和偏最小二乘判别分析显示，男性和女性受试者的代谢物组成和浓度无显著差异。此外，受试者之间的差异似乎与受试者提供的任何其他临床信息无关。总体而言，光谱数据集表明，就代谢物的数量和受试者之间的浓度而言，存在很大的生理变异性，即人类汗液样本表现出高度的个体间变异性。
The aim of the study was to evaluate metabolite variability in human eccrine sweat using a metabomics based approach. Eccrine sweat is a dilute electrolyte solution whose primary function is to control body temperature via evaporative cooling. Although the composition of sweat is primarily water, previous studies have shown that a diverse array of organic and inorganic compounds are also present. Human eccrine sweat samples from 30 female and 30 male subjects were analysed using high-resolution H-1 nuclear magnetic resonance (NMR) spectroscopy in conjunction with statistical pattern recognition. High-resolution H-1 NMR spectroscopy produced spectra of the sweat samples that readily identified and quantified many different metabolites. The major metabolite classes found to be present were lactate, amino acids and lipids, with lactate being by far the most dominant metabolite found in all samples. Principal Components Analysis, Principal Components-Discriminant Analysis and Partial Least Squares-Discriminant Analysis of the eccrine sweat samples, revealed no significant differences in metabolite composition and concentration between female and male subjects. Also, the variation between subjects did not appear to be correlated with any other clinical information provided by the subjects. Overall, the spectra data set demonstrates the large physiological variability in terms of number of metabolites present and concentrations between subjects i.e. human eccrine sweat samples exhibit a high degree of inter-individual variability.