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首页> 外文期刊>Journal of inherited metabolic disease >Fast and accurate quantitative organic acid analysis with LC-QTOF/MS facilitates screening of patients for inborn errors of metabolism
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Fast and accurate quantitative organic acid analysis with LC-QTOF/MS facilitates screening of patients for inborn errors of metabolism

机译:用LC-QTOF / MS的快速和准确的定量有机酸分析有助于筛选患者的代谢误差

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摘要

Since organic acid analysis in urine with gaschrotnatography-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 N'EN-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.
机译:由于尿液中尿液中的有机酸分析 - 质谱(GC-MS)是一种耗时的技术,因此我们开发了一种新的液相色谱 - 四极其飞行时间质谱(LC-QTOF / MS)方法以取代经典新陈代谢诊断原创性误差(IEM)分析。样品制备简单且实验时间短。 Z分数的靶向大规模提取和自动计算在我们的面板中为IEM的特征产生了特征,其中包括71个生物标志物,用于氨基酸,神经递质,脂肪酸,嘌呤和嘧啶代谢以及其他疾病。此外,面板中包含四种药物相关的代谢物。该方法被验证以满足荷兰语N'en-en-ISO 15189标准。来自ERNDIM方案的28个尿液样品的24种有机酸的交叉验证显示了通过GC-MS方法的UPLC-QTOF / MS方法的优越性。我们将方法应用于99例患者尿液样本,具有32种不同的IEM和88个对照样品。通过评估71个生物标志物的面板,使用这种新的QTOF方法明确建立/诊断所有IEM。总之,我们提出了一种LC-QTOF / MS方法,用于快速和准确的定量有机酸分析,促进了IEM患者的筛查。代谢物小组的延伸很容易,这使得该应用于代谢诊断/实验室中的有希望的技术。

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