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使用双柱U(H)PLC-MRM-MS从人血清和血浆中自动进行液体处理提取及对未衍生化氨基酸和色氨酸代谢物的快速定量分析及其在前列腺癌研究中的应用

Automated Liquid Handling Extraction and Rapid Quantification of Underivatized Amino Acids and Tryptophan Metabolites from Human Serum and Plasma Using Dual-Column U(H)PLC-MRM-MS and Its Application to Prostate Cancer Study.

作者信息

Kipura Tobias, Hotze Madlen, Hofer Alexa, Egger Anna-Sophia, Timpen Lea E, Opitz Christiane A, Townsend Paul A, Gethings Lee A, Thedieck Kathrin, Kwiatkowski Marcel

机构信息

Institute of Biochemistry and Center for Molecular Biosciences Innsbruck, University of Innsbruck, A-6020 Innsbruck, Austria.

German Cancer Research Center (DKFZ), Division of Metabolic Crosstalk in Cancer and the German Cancer Consortium (DKTK), DKFZ Core Center Heidelberg, 69120 Heidelberg, Germany.

出版信息

Metabolites. 2024 Jun 30;14(7):370. doi: 10.3390/metabo14070370.

Abstract

Amino acids (AAs) and their metabolites are important building blocks, energy sources, and signaling molecules associated with various pathological phenotypes. The quantification of AA and tryptophan (TRP) metabolites in human serum and plasma is therefore of great diagnostic interest. Therefore, robust, reproducible sample extraction and processing workflows as well as rapid, sensitive absolute quantification are required to identify candidate biomarkers and to improve screening methods. We developed a validated semi-automated robotic liquid extraction and processing workflow and a rapid method for absolute quantification of 20 free, underivatized AAs and six TRP metabolites using dual-column U(H)PLC-MRM-MS. The extraction and sample preparation workflow in a 96-well plate was optimized for robust, reproducible high sample throughput allowing for transfer of samples to the U(H)PLC autosampler directly without additional cleanup steps. The U(H)PLC-MRM-MS method, using a mixed-mode reversed-phase anion exchange column with formic acid and a high-strength silica reversed-phase column with difluoro-acetic acid as mobile phase additive, provided absolute quantification with nanomolar lower limits of quantification within 7.9 min. The semi-automated extraction workflow and dual-column U(H)PLC-MRM-MS method was applied to a human prostate cancer study and was shown to discriminate between treatment regimens and to identify metabolites responsible for discriminating between healthy controls and patients on active surveillance.

摘要

氨基酸(AAs)及其代谢产物是与各种病理表型相关的重要组成部分、能量来源和信号分子。因此,对人血清和血浆中的氨基酸及色氨酸(TRP)代谢产物进行定量具有重大的诊断意义。因此,需要稳健、可重复的样本提取和处理流程以及快速、灵敏的绝对定量方法来识别候选生物标志物并改进筛查方法。我们开发了一种经过验证的半自动机器人液体提取和处理流程,以及一种使用双柱U(H)PLC-MRM-MS对20种游离、未衍生化氨基酸和6种TRP代谢产物进行绝对定量的快速方法。96孔板中的提取和样品制备流程经过优化,以实现稳健、可重复的高样品通量,允许直接将样品转移到U(H)PLC自动进样器,无需额外的净化步骤。U(H)PLC-MRM-MS方法使用甲酸混合模式反相阴离子交换柱和以二氟乙酸为流动相添加剂的高强度硅胶反相柱,在7.9分钟内提供了纳摩尔级别的绝对定量下限。半自动提取流程和双柱U(H)PLC-MRM-MS方法应用于一项人类前列腺癌研究,结果表明该方法能够区分治疗方案,并识别出负责区分健康对照和接受主动监测患者的代谢产物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1fd/11279291/4224047ef20d/metabolites-14-00370-g001.jpg

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