Department of Medical Chemistry, Interdisciplinary Centre of Excellence, University of Szeged, Dóm tér 8, H-6720, Szeged, Hungary.
Department of Neurology, Interdisciplinary Centre of Excellence, University of Szeged, Semmelweis u. 6, H-6725, Szeged, Hungary.
J Pharm Biomed Anal. 2020 Jun 5;185:113246. doi: 10.1016/j.jpba.2020.113246. Epub 2020 Mar 9.
The simultaneous quantitative estimation of tryptophan (TRP) and its metabolites represents a great challenge because of their diverse chemical properties, e.g., presence of acidic, basic, and nonpolar functional groups and their immensely different concentrations in biological matrices. A short ultra high-performance liquid chromatography (UHPLC)-tandem mass spectrometry (MS/MS) method was validated for targeted analysis of TRP and its 11 most important metabolites derived via both kynurenine (KYN) and serotonin (SERO) pathways in human serum and cerebrospinal fluid (CSF): SERO, KYN, 3-hydroxyanthranilic acid, 5-hydroxyindoleacetic acid, anthranilic acid, kynurenic acid (KYNA), 3-hydroxykynurenine (3-HK), xanthurenic acid, melatonin, picolinic acid (PICA), and quinolinic acid (QUIN). After selecting the "best" reversed-phase column and organic modifier, DryLab®4 was used to optimize the gradient time and temperature in chromatographic separation. To achieve absolute quantification, deuterium-labeled internal standards were used. Among all compounds, 3 were analyzed in derivatized (butyl ester) forms (3-HK, PICA, and QUIN) and the remaining 9 in underivatized forms. Validation was performed in accordance with the ICH and FDA guidelines to determine the intraday and interday precision, accuracy, sensitivity, and recovery. To demonstrate the applicability of the developed UHPLC-MS/MS method, the aforementioned metabolites were analyzed in serum and CSF samples from patients with multiple sclerosis (multiple sclerosis group) and those with symptomatic or noninflammatory neurological diseases (control group). The concentration of QUIN dramatically increased, whereas that of KYNA slightly decreased in the multiple sclerosis group, resulting in a significantly increased QUIN/KYNA ratio and significantly decreased PICA/QUIN ratio.
色氨酸(TRP)及其代谢物的同时定量估计是一项巨大的挑战,因为它们具有不同的化学性质,例如存在酸性、碱性和非极性官能团,以及它们在生物基质中的浓度差异极大。本文建立了一种超高效液相色谱-串联质谱(UHPLC-MS/MS)方法,用于靶向分析人血清和脑脊液中色氨酸及其 11 种通过犬尿氨酸(KYN)和 5-羟色胺(SERO)途径衍生的最重要代谢物:SERO、KYN、3-羟基犬尿氨酸、5-羟基吲哚乙酸、邻氨基苯甲酸、喹啉酸(KYNA)、3-羟基犬尿氨酸(3-HK)、黄尿酸、褪黑素、吡啶甲酸(PICA)和喹啉酸(QUIN)。在选择“最佳”反相柱和有机改性剂后,使用 DryLab®4 优化了色谱分离中的梯度时间和温度。为了实现绝对定量,使用氘标记的内标。所有化合物中,有 3 种以衍生化(丁酸酯)形式(3-HK、PICA 和 QUIN)进行分析,其余 9 种以未衍生化形式进行分析。验证是按照 ICH 和 FDA 指南进行的,以确定日内和日间精密度、准确度、灵敏度和回收率。为了证明所开发的 UHPLC-MS/MS 方法的适用性,分析了多发性硬化症患者(多发性硬化症组)和有症状或非炎症性神经疾病患者(对照组)血清和脑脊液中的上述代谢物。多发性硬化症组中 QUIN 的浓度显著增加,而 KYNA 的浓度略有降低,导致 QUIN/KYNA 比值显著增加,PICA/QUIN 比值显著降低。