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采用亲水性相互作用/反相二维液相色谱-质谱联用技术同时分析代谢组学和脂质组学。

Simultaneous Analysis of the Metabolome and Lipidome Using Polarity Partition Two-Dimensional Liquid Chromatography-Mass Spectrometry.

机构信息

School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.

Guangzhou Analytical Applications Center, Shimadzu (China) Co., LTD, Guangzhou 510010, China.

出版信息

Anal Chem. 2021 Nov 16;93(45):15192-15199. doi: 10.1021/acs.analchem.1c03905. Epub 2021 Nov 5.

Abstract

Comprehensive metabolic profiling is a considerable challenge for systems biology since the metabolites in biological samples have significant polarity differences. A heart-cutting two-dimensional liquid chromatography-mass spectrometry (2D-LC-MS) method-based polarity partition was established to analyze both the metabolome and lipidome in a single run. Based on the polarity partition strategy, metabolites with high polarity were retained and separated by one-dimensional hydrophilic chromatography, while low- and medium-polarity lipids were collected into a sample loop and injected into two-dimensional reversed-phase chromatography for separation. A simple online dilution strategy realized the online coupling of the 2D-LC-MS, which effectively solved band broadening and peak distortion caused by solvent incompatibility. Moreover, a dual gradient elution procedure was introduced to further broaden the coverage of low-polarity lipids. The metabolites' log values, which this 2D-LC-MS method could analyze, ranged from -8.79 to 26.86. The feasibility of the 2D-LC-MS system was demonstrated by simultaneous analysis of the metabolome and lipidome in rat plasma related to depression. A total of 319 metabolites were determined within 40 min, including organic acids, nucleosides, carbohydrate derivatives, amino acids, lipids, and other organic compounds. Finally, 44 depression-related differential metabolites were screened. Compared with conventional LC-MS-based methods, the 2D-LC method covered over 99% of features obtained by two conventional methods. In addition, the selectivity and resolution of the hydrophilic metabolites were improved, and the matrix effects of the hydrophobic metabolites were reduced in the developed method. The results indicated that the established 2D-LC system is a powerful tool for comprehensive metabolomics studies.

摘要

综合代谢物分析对系统生物学来说是一个巨大的挑战,因为生物样本中的代谢物具有显著的极性差异。建立了一种基于二维液相色谱-质谱(2D-LC-MS)的切割二维液相色谱-质谱(2D-LC-MS)方法,基于极性分区策略,高极性代谢物通过一维亲水色谱保留和分离,而低极性和中极性脂质则收集到样品环中并注入二维反相色谱中进行分离。在线稀释策略实现了 2D-LC-MS 的在线偶联,有效地解决了溶剂不相容引起的峰展宽和峰变形问题。此外,还引入了双梯度洗脱程序,进一步拓宽了低极性脂质的覆盖范围。该 2D-LC-MS 方法可分析的代谢物的 log 值范围为-8.79 至 26.86。通过同时分析与抑郁相关的大鼠血浆中的代谢组学和脂质组学,验证了 2D-LC-MS 系统的可行性。在 40 分钟内共鉴定出 319 种代谢物,包括有机酸、核苷、碳水化合物衍生物、氨基酸、脂质和其他有机化合物。最后,筛选出 44 种与抑郁相关的差异代谢物。与传统的 LC-MS 方法相比,2D-LC 方法涵盖了两种传统方法获得的特征的 99%以上。此外,亲水代谢物的选择性和分辨率得到了提高,疏水性代谢物的基质效应在开发方法中得到了降低。结果表明,建立的 2D-LC 系统是综合代谢组学研究的有力工具。

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