University of Tübingen, Institute of Pharmaceutical Sciences, Pharmaceutical (Bio-) Analysis, Auf der Morgenstelle 8, 72076 Tübingen, Germany.
University of Tübingen, Institute of Pharmaceutical Sciences, Pharmaceutical (Bio-) Analysis, Auf der Morgenstelle 8, 72076 Tübingen, Germany; Department of Biochemistry, Molecular Biology and Biotechnology, Faculty of Chemistry, Wroclaw University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wroclaw, Poland.
J Pharm Biomed Anal. 2023 Jan 5;222:115090. doi: 10.1016/j.jpba.2022.115090. Epub 2022 Oct 5.
Endocannabinoids are endogenous lipids with the main function recognized to act as neuromodulators through their cannabinoid receptors. Dysregulation of the endocannabinoid system is implicated in various pathologies, such as inflammatory and neurodegenerative diseases. In this study we describe a sensitive UHPLC-MS/MS method for the analysis of trace levels of 7 endocannabinoids in cerebrospinal fluid samples. The analytes covered comprised 1- and 2-arachidonoylglycerol 1- and 2-AG (which were analysed as sum due to their interconversion), 2-arachidonylglycerol ether 2-AGE, anandamide AEA, N-linoleoyl ethanolamide LEA, N-palmitoyl ethanolamide PEA and N-oleoyl ethanolamide OEA. Analytes were extracted from the biofluid by a simple monophasic procedure involving protein precipitation with acetonitrile (MeCN). The analytical method is based on chromatographic separation of the analytes with solid-core (core-shell, superficially porous) particle column Cortecs C18+ . Gradient elution with changing proportion of water and acetonitrile and constant concentration of formic acid provided reasonable separation of analytes, close elution of analytes and their internal standards and minimized matrix effects in biological samples. For specific detection of the endocannabinoids a triple-quadrupole tandem mass spectrometer with electrospray ionisation (ESI) and selected reaction monitoring (SRM) mode was used, and it provided good assay selectivity. The developed method required a minute volume of the biological samples (50 µL) and achieved excellent sensitivity (the lower limit of detection was between 4.15 and 30.18 pM of the biological sample). Linear calibration was achieved in the range from 25 to 10,545 pM for AEA, 90-3802 pM for 1-AG, 90-724 pM for 2-AG, 12-5226 pM for LEA, 33-13,942 for OEA, 34-23,850 pM for 2-AGE, 72-30,190 for PEA and 10-4218 for AEA-d in CSF. The method was validated and revealed relative errors in the range of - 14.7 to + 12.3% at LLOQ and - 14.1 to + 14.2% for the remaining validation range. Precisions were in the acceptable range (< 20% RSD at LLOQ, and <15% for the remaining levels) as well. It was finally used to quantify endocannabinoids in human cerebrospinal fluid obtained from 118 donors. Accurate quantification of endogenous compounds in biological samples was achieved by using two different principal approaches (surrogate matrix for AEA, 2-AG, OEA, 2-AGE, LEA and PEA, and surrogate calibrant for AEA only) and they were evaluated by use of the Passing-Bablok regression. Concentrations (median) of CSF samples of patients suffering from CNS infection and controls were found to be around 160 pM for 1- and 2-AG, 86 pM for AEA, 62 for 2-AGE, 58 for LEA, 93 pM for PEA, and 83 pM for OEA.
内源性大麻素是主要作用为通过其大麻素受体充当神经调节剂的内源性脂质。内源性大麻素系统的失调与各种病理有关,如炎症和神经退行性疾病。在这项研究中,我们描述了一种用于分析脑脊液样本中痕量水平的 7 种内源性大麻素的灵敏 UHPLC-MS/MS 方法。分析物包括 1- 和 2-花生四烯酰甘油 1- 和 2-AG(由于它们的相互转化,被分析为总和)、2-花生四烯酰甘油醚 2-AGE、大麻素 AEA、N-亚麻酰乙醇酰胺 LEA、N-棕榈酰乙醇酰胺 PEA 和 N-油酰乙醇酰胺 OEA。分析物通过涉及用乙腈(MeCN)沉淀蛋白质的简单单相程序从生物流体中提取。分析方法基于分析物的色谱分离,采用固体核(核壳,表面多孔)颗粒柱 Cortecs C18+。随着水和乙腈比例的变化以及甲酸浓度的恒定,提供了合理的分析物分离、分析物及其内标物的紧密洗脱和生物样品中的基质效应最小化。为了对内源性大麻素进行特异性检测,使用具有电喷雾电离(ESI)和选择反应监测(SRM)模式的三重四极杆串联质谱仪,并提供了良好的分析选择性。所开发的方法需要生物样品的微小体积(50 μL),并实现了优异的灵敏度(生物样品的最低检测限为 4.15 至 30.18 pM)。AEA 的校准范围为 25 至 10,545 pM,1-AG 的校准范围为 90-3802 pM,2-AG 的校准范围为 90-724 pM,LEA 的校准范围为 12-5226 pM,OEA 的校准范围为 33-13,942 pM,2-AGE 的校准范围为 34-23,850 pM,PEA 的校准范围为 72-30,190 pM,AEA-d 的校准范围为 10-4218 pM。该方法经过验证,在LLOQ 时相对误差范围为-14.7%至+12.3%,在其余验证范围内为-14.1%至+14.2%。精密度也在可接受范围内(LLOQ 时 RSD 小于 20%,其余水平时小于 15%)。最后,该方法用于定量人脑脊液中的内源性大麻素。通过使用两种不同的主要方法(AEA、2-AG、OEA、2-AGE、LEA 和 PEA 的替代基质和仅 AEA 的替代校准物)来实现对生物样品中内源性化合物的准确定量,并使用 Passing-Bablok 回归进行评估。发现患有中枢神经系统感染和对照的患者脑脊液样本的浓度(中位数)约为 160 pM 用于 1- 和 2-AG、86 pM 用于 AEA、62 pM 用于 2-AGE、58 pM 用于 LEA、93 pM 用于 PEA 和 83 pM 用于 OEA。