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使用合适的内标物进行 LC-MS/MS 准确定量的相关性:以牛磺胆酸为例。

Relevance in the Use of Appropriate Internal Standards for Accurate Quantification Using LC-MS/MS: Tauro-Conjugated Bile Acids as an Example.

机构信息

Institute of Clinical Chemistry and Laboratory Medicine, Regensburg University Hospital , 93053 Regensburg, Germany.

Department of Internal Medicine I, Regensburg University Hospital , 93053 Regensburg, Germany.

出版信息

Anal Chem. 2016 Nov 15;88(22):10957-10961. doi: 10.1021/acs.analchem.6b02596. Epub 2016 Oct 26.

Abstract

Compensation of matrix effects is the main obstacle to achieve accurate quantification in LC-MS/MS. Therefore, quantitative LC-MS/MS typically relies on addition of internal standards (ISs). Here, we present a systematic comparison of ISs from a routine LC-MS/MS method for bile acid (BA) analysis with a focus on tauro-conjugated. Both human serum based quality control (QC) and patient samples were quantified with a variety of stable isotope labeled (SIL) BAs including D-tauro BAs. As expected, SIL-ISs that match the endogenous analytes provide the highest data quality (precision, accuracy). We could not observe systematic correlation of data quality with chemical similarity or proximity in retention time of ISs to the analyte. However, both accuracy and precision of QCs and patient's concentrations showed significant correlation. This provides evidence that calculation of matrix-based QCs with various ISs could be applied for the selection of ISs whenever matching SILs are not available. Moreover, data calculated without ISs exhibited a poor data quality for both QCs and patients' concentrations. Considering these results, data generated without ISs should be interpreted with great care and may not be suitable for proposal of biomarkers unless solid quantitative data could confirm initial findings.

摘要

基质效应的补偿是实现 LC-MS/MS 准确定量的主要障碍。因此,定量 LC-MS/MS 通常依赖于内标 (IS) 的添加。在这里,我们系统地比较了胆汁酸 (BA) 分析常规 LC-MS/MS 方法中的 IS,重点是牛磺酸结合物。基于人血清的质控 (QC) 和患者样本均使用各种稳定同位素标记 (SIL) 的 BA 进行定量,包括 D-牛磺酸 BA。正如预期的那样,与内源性分析物匹配的 SIL-IS 提供了最高的数据质量 (精密度、准确度)。我们没有观察到数据质量与 IS 与分析物的化学相似性或保留时间的接近程度之间存在系统相关性。然而,QC 和患者浓度的准确性和精密度都表现出显著的相关性。这证明了,只要没有匹配的 SIL,使用各种 IS 计算基于基质的 QC 可以用于选择 IS。此外,没有 IS 的数据计算对于 QC 和患者浓度都表现出较差的数据质量。考虑到这些结果,没有 IS 的数据应谨慎解释,除非有可靠的定量数据可以确认初始发现,否则可能不适合提出生物标志物。

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