Shin Hyun Ju, Park Na Hyun, Lee Wonwoong, Choi Man Ho, Chung Bong Chul, Hong Jongki
College of Pharmacy, Kyung Hee University, Seoul 130-701, Korea.
Molecular Recognition Research Center, Korea Institute of Science and Technology, Seoul 136-791, Korea.
J Chromatogr B Analyt Technol Biomed Life Sci. 2017 Apr 15;1051:97-107. doi: 10.1016/j.jchromb.2017.03.015. Epub 2017 Mar 16.
The tyrosine, tryptophan, and glutamate metabolic pathways play key roles on pathological state of neuronal functions and the change of their levels in biological systems reflects the progress degree of neuronal diseases. Comprehensive profiling of these metabolites is important to find new biomarkers for diagnosis or prognosis of various neuronal diseases. However, the overall profiling analysis of various neurochemicals in biological sample is confronted with several limitations due to their low concentration and physicochemical properties and the coexistence of matrices. We developed an efficient and feasible method using gas chromatography-tandem mass spectrometry (GC-MS/MS). Wide-bore mixed cation exchange (MCX) SPE process enables a rapid and effective cleanup of 20 neurochemicals even including acidic and basic neurochemicals in a single SPE cartridge by using different composition of eluents. Selective derivatization of various types of metabolites was applied to achieve highly chromatographic separation and sensitive mass detection. Appropriate selection of precursor and product transition ions used in multiple reaction-monitoring (MRM) mode based on the MS/MS fragmentations of the derivatized neurochemicals could be significantly minimized the matrix effects and enhanced the reliability of quantification results. The developed method was validated in terms of linearity, limits of detection, precision, accuracy, and matrix effects. The intra- and inter-assay analytical variations were less than 10%. The overall linearity for all of the targets was excellent (R≥0.996). The detection limits ranged between 0.38 and 8.13ng/mL for the acidic neurochemicals and between 0.02 and 11.1ng/mL for the basic neurochemicals. The developed protocol will be expected to be a promising tool for the understanding of the pathological state and diagnosis of various neuronal diseases.
酪氨酸、色氨酸和谷氨酸代谢途径在神经元功能的病理状态中起关键作用,它们在生物系统中的水平变化反映了神经元疾病的进展程度。对这些代谢物进行全面分析对于寻找各种神经元疾病诊断或预后的新生物标志物很重要。然而,由于生物样品中各种神经化学物质浓度低、理化性质以及基质共存等原因,对其进行整体分析面临若干限制。我们开发了一种使用气相色谱 - 串联质谱(GC-MS/MS)的高效可行方法。宽孔混合阳离子交换(MCX)固相萃取过程能够通过使用不同组成的洗脱液,在单个固相萃取柱中快速有效地净化20种神经化学物质,甚至包括酸性和碱性神经化学物质。对各种类型的代谢物进行选择性衍生化,以实现高效的色谱分离和灵敏的质谱检测。基于衍生化神经化学物质的MS/MS裂解,在多反应监测(MRM)模式下适当选择前体和产物过渡离子,可以显著降低基质效应并提高定量结果的可靠性。所开发的方法在线性、检测限、精密度、准确度和基质效应方面进行了验证。批内和批间分析变异均小于10%。所有目标物的整体线性良好(R≥0.996)。酸性神经化学物质的检测限在0.38至8.13ng/mL之间,碱性神经化学物质的检测限在0.02至11.1ng/mL之间。预期所开发的方案将成为理解各种神经元疾病病理状态和诊断的有前途的工具。