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采用 LC-QTOF/MS 进行快速准确的定量有机酸分析,有助于对代谢缺陷症患者进行筛查。

Fast and accurate quantitative organic acid analysis with LC-QTOF/MS facilitates screening of patients for inborn errors of metabolism.

机构信息

Department of Clinical Genetics, Maastricht University Medical Centre, Maastricht, The Netherlands.

Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands.

出版信息

J Inherit Metab Dis. 2018 May;41(3):415-424. doi: 10.1007/s10545-017-0129-0. Epub 2018 Feb 12.

Abstract

Since organic acid analysis in urine with gaschromatography-mass spectrometry (GC-MS) is a time-consuming technique, we developed a new liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-QTOF/MS) method to replace the classical analysis for diagnosis of inborn errors of metabolism (IEM). Sample preparation is simple and experimental time short. Targeted mass extraction and automatic calculation of z-scores generated profiles characteristic for the IEMs in our panel consisting of 71 biomarkers for defects in amino acids, neurotransmitters, fatty acids, purine, and pyrimidine metabolism as well as other disorders. In addition, four medication-related metabolites were included in the panel. The method was validated to meet Dutch NEN-EN-ISO 15189 standards. Cross validation of 24 organic acids from 28 urine samples of the ERNDIM scheme showed superiority of the UPLC-QTOF/MS method over the GC-MS method. We applied our method to 99 patient urine samples with 32 different IEMs, and 88 control samples. All IEMs were unambiguously established/diagnosed using this new QTOF method by evaluation of the panel of 71 biomarkers. In conclusion, we present a LC-QTOF/MS method for fast and accurate quantitative organic acid analysis which facilitates screening of patients for IEMs. Extension of the panel of metabolites is easy which makes this application a promising technique in metabolic diagnostics/laboratories.

摘要

由于气相色谱-质谱联用(GC-MS)分析尿液中的有机酸是一项耗时的技术,我们开发了一种新的液相色谱-四极杆飞行时间质谱(LC-QTOF/MS)方法来替代经典分析,以诊断先天代谢错误(IEM)。该方法样品制备简单,实验时间短。通过靶向质量提取和自动计算 Z 分数,可以生成我们的面板中 71 种生物标志物的特征图谱,这些标志物用于缺陷氨基酸、神经递质、脂肪酸、嘌呤和嘧啶代谢以及其他疾病的 IEM。此外,该面板还包括四种与药物相关的代谢物。该方法经过验证,符合荷兰 NEN-EN-ISO 15189 标准。对 ERNDIM 方案中 28 个尿液样本的 24 种有机酸进行的交叉验证表明,UPLC-QTOF/MS 方法优于 GC-MS 方法。我们应用该方法对 99 个患者尿液样本和 32 种不同的 IEM 进行了分析,同时还分析了 88 个对照样本。通过对 71 种生物标志物的评估,使用该新的 QTOF 方法明确诊断了所有 IEM。总之,我们提出了一种快速准确的定量有机酸分析的 LC-QTOF/MS 方法,该方法有助于 IEM 患者的筛查。代谢物的面板扩展很容易,这使得该应用成为代谢诊断/实验室的一种很有前途的技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80de/5959959/c13fb02dfced/10545_2017_129_Fig1_HTML.jpg

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