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Ultra-PerformanceLiquid Chromatography–High-ResolutionMass Spectrometry and Direct Infusion–High-Resolution MassSpectrometry for Combined Exploratory and Targeted Metabolic Profilingof Human Urine

机译:超性能液相色谱-高分辨率质谱和直接输注–高分辨率质谱探索性和目标代谢曲线分析的光谱法人尿液

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摘要

The application of metabolic phenotyping to epidemiological studies involving thousands of biofluid samples presents a challenge for the selection of analytical platforms that meet the requirements of high-throughput precision analysis and cost-effectiveness. Here direct infusion–nanoelectrospray (DI–nESI) was compared with an ultra-performance liquid chromatography (UPLC)–high-resolution mass spectrometry (HRMS) method for metabolic profiling of an exemplary set of 132 human urine samples from a large epidemiological cohort. Both methods were developed and optimized to allow the simultaneous collection of high-resolution urinary metabolic profiles and quantitative data for a selected panel of 35 metabolites. The total run time for measuring the sample set in both polarities by UPLC–HRMS was 5 days compared with 9 h by DI–nESI–HRMS. To compare the classification ability of the two MS methods, we performed exploratory analysis of the full-scan HRMS profiles to detect sex-related differences in biochemical composition. Although metabolite identification is less specific in DI–nESI–HRMS,the significant features responsible for discrimination between sexeswere mostly the same in both MS-based platforms. Using the quantitativedata, we showed that 10 metabolites have strong correlation (Pearson’s r > 0.9 and Passing–Bablok regression slope of 0.8–1.3)and good agreement assessed by Bland–Altman plots between UPLC–HRMSand DI–nESI–HRMS and thus can be measured using a cheaperand less sample- and time-consuming method. A further twentymetabolites showed acceptable correlation between the two methodswith only five metabolites showing weak correlation (Pearson’s r < 0.4) and poor agreement due to the overestimationof the results by DI–nESI–HRMS. 
机译:代谢表型在涉及数千种生物流体样品的流行病学研究中的应用为选择满足高通量精度分析和成本效益要求的分析平台提出了挑战。在这里,将直接输注-纳米电喷雾(DI-nESI)与超高效液相色谱(UPLC)-高分辨率质谱法(HRMS)的方法进行了代谢分析,以对一组来自大型流行病学队列的132例人类尿液样品进行代谢分析。开发和优化了这两种方法,以允许同时收集高分辨率尿液代谢谱和所选35种代谢产物的定量数据。通过UPLC–HRMS测量两种极性下的样品的总运行时间为5天,而DI–nESI–HRMS则为9小时。为了比较两种质谱方法的分类能力,我们对全扫描HRMS谱图进行了探索性分析,以检测生化成分中性别相关的差异。尽管在DI–nESI–HRMS中代谢物鉴定的特异性较低,造成性别歧视的重要特征在两个基于MS的平台中,它们几乎相同。使用定量数据,我们发现10种代谢物具有很强的相关性(Pearson r> 0.9,Passing–Bablok回归斜率为0.8–1.3)并通过UPLC–HRMS之间的Bland–Altman图评估了良好的一致性和DI–nESI–HRMS,因此可以使用更便宜的方法进行测量以及更少的样本和耗时的方法。再二十代谢物显示两种方法之间可接受的相关性仅有五种代谢物显示出弱相关性(Pearson's r <0.4)并且由于高估了一致性DI–nESI–HRMS得出的结果。

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