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亲水作用色谱法结合超声辅助离子液体分散液液微萃取测定痴呆患者尿液中未衍生化神经递质。

Hydrophilic interaction chromatography combined with ultrasound-assisted ionic liquid dispersive liquid-liquid microextraction for determination of underivatized neurotransmitters in dementia patients' urine samples.

机构信息

Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, And Jiangsu Key Laboratory for High Technology Research of TCM Formulae, Nanjing University of Chinese Medicine, Nanjing, 210023, China.

Department of Urology, The Second Affiliated Hospital, Zhejiang University, Hangzhou, 310009, China.

出版信息

Anal Chim Acta. 2020 Apr 22;1107:74-84. doi: 10.1016/j.aca.2020.02.027. Epub 2020 Feb 13.

Abstract

A sensitive, rapid, precise and specific analytical method of hydrophilic interaction ultra-performance liquid chromatography coupled with triple-quadrupole linear ion-trap tandem mass spectrometry (HILIC-UHPLC-QTRAP®/MS) combined with a high-efficiency and easy sample preparation technology of ultrasound-assisted ionic liquid dispersive liquid-liquid microextraction (UA-IL-DLLME) was developed to investigate neurotransmitters (NTs) in mild cognitive impairment, mild dementia and moderate dementia patients' urine samples. Firstly, the UA-IL-DLLME parameters were optimized using Plackett-Burman screening and rotatable central composite design, and the main optimal conditions were obtained: ultrasound power of 307 W, ultrasound time of 4.3 min and agitation time of 4.8 min. Secondly, HILIC-UHPLC-QTRAP®/MS method was developed to simultaneously determine 15 underivatized NTs in urine samples. The analysis results of clinical samples showed that some NTs such as γ-aminobutyric acid (GABA), acetylcholine (Ach) and glutamic acid (Glu) presented significant differences in different dementia stages. Finally, multivariate analysis based on the combination of principal component analysis and supervised counter propagation artificial neural network was developed for comprehensive analysis of the obtained clinical data sets. As a result, GABA and Glu were simultaneously presented meaningful contribution for classification of samples, and might be considered as potential differential compounds to the urine samples from cluster patients with different dementia stages. In summary, the presented strategy of preparation, analysis and statistics might be used to investigate NTs in different clinical biological fluids.

摘要

建立了一种灵敏、快速、准确、专属性的亲水作用超高效液相色谱-三重四极杆线性离子阱串联质谱(HILIC-UHPLC-QTRAP®/MS)分析方法,并结合超声辅助离子液体分散液液微萃取(UA-IL-DLLME)高效、易于处理的样品前处理技术,用于研究轻度认知障碍、轻度痴呆和中度痴呆患者尿液中的神经递质(NTs)。首先,采用 Plackett-Burman 筛选和旋转中心组合设计优化了 UA-IL-DLLME 参数,得到了主要的优化条件:超声功率 307 W、超声时间 4.3 min 和搅拌时间 4.8 min。其次,建立了同时测定尿液中 15 种未衍生化 NTs 的 HILIC-UHPLC-QTRAP®/MS 方法。临床样本的分析结果表明,γ-氨基丁酸(GABA)、乙酰胆碱(Ach)和谷氨酸(Glu)等一些 NTs在不同痴呆阶段存在显著差异。最后,基于主成分分析和监督传播人工神经网络的组合,建立了多变量分析方法,对获得的临床数据集进行综合分析。结果表明,GABA 和 Glu 同时对样品分类具有重要贡献,可能是不同痴呆阶段聚类患者尿液中的潜在差异化合物。综上所述,该制备、分析和统计策略可用于研究不同临床生物体液中的 NTs。

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