首页> 外文期刊>Biomedical Chromatography: An International Journal Devoted to Research in Chromatographic Methodologies and Their Applications in the Biosciences >Liquid chromatography-mass spectrometry methods for urinary biomarker detection in metabonomic studies with application to nutritional studies.
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Liquid chromatography-mass spectrometry methods for urinary biomarker detection in metabonomic studies with application to nutritional studies.

机译:用于代谢组学研究中尿液生物标志物检测的液相色谱-质谱法,并应用于营养研究。

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摘要

The effects of sample preparation and chromatographic method differences on the classification and recovery of metabolic biomarkers from UPLC-MS measurements on urine samples of humans exposed to different dietary interventions have been investigated. Eight volunteers consumed three high-fat meals (rich in saturated, monounsaturated and polyunsaturated fatty acids, respectively) in randomized order with a washout period in between. For each participant, urine samples were obtained prior to and at three timed intervals after each meal. Samples were processed either by dilution (1 : 4) or by liquid-liquid extraction and then run under two different gradient conditions. For each analysis method, a total of 96 observations (eight participants, four time points, three diets) were measured. The total ion count chromatograms were analyzed using partial-least-squares discriminant analysis. All three dietary classes could be discriminated irrespective of sample preparation and chromatographic method. However, the main discriminating metabolites varied according to sample preparation, indicating that sample treatment and chromatographic conditions influence the ability to extract biomolecular information. Diluted samples showed higher m/z compounds (ca 400 u) while liquid-liquid extraction samples showed low m/z at the same retention time span. Optimized methods for metabolite identification (e.g. organic acids) were statistically inferior to global screening for mixed compound identification, confirming that multiple compound class-based metabolic profiles are likely to give superior metabonomic (diagnostic) classification, although great care has to be taken in the interpretation in relation to matrix effects.
机译:研究了样品制备和色谱方法差异对通过不同饮食干预的人类尿液样品进行UPLC-MS测定得到的代谢生物标志物的分类和回收的影响。八名志愿者以随机顺序吃了三顿高脂餐(分别富含饱和,单不饱和和多不饱和脂肪酸),中间有一个清除期。对于每位参与者,在每顿饭之前和之后的三个时间间隔获取尿液样本。通过稀释(1:4)或液-液萃取来处理样品,然后在两个不同的梯度条件下运行。对于每种分析方法,共测量了96个观察值(八个参与者,四个时间点,三种饮食)。使用偏最小二乘判别分析法分析了总离子计数色谱图。无论样品制备和色谱方法如何,均可区分所有三种饮食类型。但是,主要的区分代谢物随样品制备的不同而变化,这表明样品处理和色谱条件会影响提取生物分子信息的能力。稀释样品显示出较高的m / z化合物(约400 u),而液-液萃取样品显示出相同的保留时间下较低的m / z。代谢物鉴定(例如有机酸)的优化方法在统计学上不及混合化合物鉴定的整体筛查,这证实了基于多种化合物类别的代谢谱可能会提供更好的代谢组学(诊断)分类,尽管在这种情况下必须格外小心。关于矩阵效应的解释。

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