Wong Jenny-Marie T, Malec Paige A, Mabrouk Omar S, Ro Jennifer, Dus Monica, Kennedy Robert T
Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, United States.
Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, United States; Department of Pharmacology, University of Michigan, Ann Arbor, MI 48109, United States.
J Chromatogr A. 2016 May 13;1446:78-90. doi: 10.1016/j.chroma.2016.04.006. Epub 2016 Apr 4.
Widely targeted metabolomic assays are useful because they provide quantitative data on large groups of related compounds. We report a high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method that utilizes benzoyl chloride labeling for 70 neurologically relevant compounds, including catecholamines, indoleamines, amino acids, polyamines, trace amines, antioxidants, energy compounds, and their metabolites. The method includes neurotransmitters and metabolites found in both vertebrates and insects. This method was applied to analyze microdialysate from rats, human cerebrospinal fluid, human serum, fly tissue homogenate, and fly hemolymph, demonstrating its broad versatility for multiple physiological contexts and model systems. Limits of detection for most assayed compounds were below 10nM, relative standard deviations were below 10%, and carryover was less than 5% for 70 compounds separated in 20min, with a total analysis time of 33min. This broadly applicable method provides robust monitoring of multiple analytes, utilizes small sample sizes, and can be applied to diverse matrices. The assay will be of value for evaluating normal physiological changes in metabolism in neurochemical systems. The results demonstrate the utility of benzoyl chloride labeling with HPLC-MS/MS for widely targeted metabolomics assays.
广泛靶向代谢组学分析很有用,因为它们能提供大量相关化合物的定量数据。我们报告了一种高效液相色谱 - 串联质谱法(HPLC-MS/MS),该方法利用苯甲酰氯标记70种与神经学相关的化合物,包括儿茶酚胺、吲哚胺、氨基酸、多胺、痕量胺、抗氧化剂、能量化合物及其代谢物。该方法涵盖了脊椎动物和昆虫体内发现的神经递质和代谢物。此方法被用于分析大鼠的微透析液、人类脑脊液、人类血清、果蝇组织匀浆和果蝇血淋巴,证明了其在多种生理环境和模型系统中的广泛适用性。大多数被测化合物的检测限低于10nM,相对标准偏差低于10%,对于在20分钟内分离的70种化合物,残留率小于5%,总分析时间为33分钟。这种广泛适用的方法能对多种分析物进行可靠监测,使用的样本量小,且可应用于多种基质。该分析方法对于评估神经化学系统中代谢的正常生理变化具有重要价值。结果证明了苯甲酰氯标记结合HPLC-MS/MS在广泛靶向代谢组学分析中的实用性。