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一种用于定量血清中色氨酸及其主要代谢物的新型液相色谱-串联质谱法,以支持接受免疫治疗的癌症患者的生物标志物研究。

A Novel Liquid Chromatography-Tandem Mass Spectrometry Method to Quantify Tryptophan and Its Major Metabolites in Serum to Support Biomarker Studies in Patients with Cancer Undergoing Immunotherapy.

作者信息

Siemiątkowska Anna, Kuźnar-Kamińska Barbara, Kosicka-Noworzyń Katarzyna, Nowaczewska Kamila, Winiarska Hanna, Popiołek Dominika, Kamiński Filip, Główka Franciszek K

机构信息

Department of Physical Pharmacy and Pharmacokinetics, Poznan University of Medical Sciences, 3 Rokietnicka Street, 60-806 Poznań, Poland.

Department of Pulmonology, Allergology and Respiratory Oncology, Poznan University of Medical Sciences, 84 Szamarzewskiego Street, 60-569 Poznań, Poland.

出版信息

Molecules. 2024 Dec 31;30(1):121. doi: 10.3390/molecules30010121.

Abstract

Tryptophan (TRP) is an essential amino acid crucial for the production of many bioactive compounds. Disturbances in TRP metabolism have been revealed in various diseases, many of which are closely related to the immune system. In recent years, we have focused on finding blood-based biomarkers of successful immunotherapy in cancer. Thus, we aimed to develop a robust liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for TRP and its metabolites that could be used in biomarker studies. Although analyzing TRP derivatives in biological matrices is not a new topic, we encountered multiple challenges during method development. One of them was the phenomenon of cross-interferences between the analyzed molecules, which has not been explored in most published papers. We noticed that injecting a pure single-compound solution often generated a signal in the other compounds' MS/MS channels. Specifically, TRP generated unexpected peaks in the channel for kynurenine, kynurenic acid, and xanthurenic acid, while kynurenine generated peaks in the channel for kynurenic acid. We also recorded a mutual cross-talk between kynurenine and isotope-labeled TRP. Different origins of the observed cross-signal contribution were proposed. This paper draws attention to investigating cross-interferences in LC-MS/MS, especially when structurally related compounds will be analyzed. Despite all the challenges, the method was successfully validated according to international guidelines (EMA/ICH), and its applicability was confirmed in a pilot study including 20 patients with lung cancer undergoing chemoimmunotherapy.

摘要

色氨酸(TRP)是一种必需氨基酸,对许多生物活性化合物的产生至关重要。在各种疾病中都发现了色氨酸代谢紊乱,其中许多疾病与免疫系统密切相关。近年来,我们专注于寻找癌症中成功免疫治疗的血液生物标志物。因此,我们旨在开发一种用于色氨酸及其代谢物的强大液相色谱-串联质谱(LC-MS/MS)方法,该方法可用于生物标志物研究。虽然在生物基质中分析色氨酸衍生物并非新课题,但我们在方法开发过程中遇到了多个挑战。其中之一是分析分子之间的交叉干扰现象,大多数已发表的论文中尚未对此进行探讨。我们注意到,注入纯单化合物溶液时,其他化合物的MS/MS通道中常常会产生信号。具体而言,色氨酸在犬尿氨酸、犬尿酸和黄尿酸的通道中产生意外峰,而犬尿氨酸在犬尿酸的通道中产生峰。我们还记录了犬尿氨酸与同位素标记的色氨酸之间的相互串扰。针对观察到的交叉信号贡献提出了不同的来源。本文提请注意研究LC-MS/MS中的交叉干扰,尤其是在分析结构相关化合物时。尽管面临所有这些挑战,该方法仍根据国际指南(EMA/ICH)成功验证,并且在一项包括20名接受化学免疫治疗的肺癌患者的初步研究中证实了其适用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fcbe/11721486/e5f9c176554b/molecules-30-00121-g002.jpg

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