School of Pharmaceutical Sciences, Jilin University, Changchun 130021, China.
Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China.
Anal Chem. 2022 Sep 13;94(36):12472-12480. doi: 10.1021/acs.analchem.2c02650. Epub 2022 Aug 31.
-Acylethanolamines (NAE) are a class of essential signaling lipids that are involved in a variety of physiological processes, such as energy homeostasis, anti-inflammatory responses, and neurological functions. NAE lipids are functionally different yet structurally similar and often have low concentrations in biological systems. Therefore, the comprehensive analysis of NAE lipids in complex biological matrices is very challenging. In this work, we developed an ion mobility-mass spectrometry (IM-MS) based four-dimensional (4D) untargeted technology for comprehensive analysis of NAE lipids. First, we employed the picolinyl derivatization to significantly improve ionization sensitivity of NAE lipids by 2-9-fold. Next, we developed a two-step quantitative structure-retention relationship (QSRR) strategy and used the AllCCS software to curate a 4D library for 170 NAE lipids with information on /, retention time, collision cross-section, and MS/MS spectra. Then, we developed a 4D untargeted technology empowered by the 4D library to support unambiguous identifications of NAE lipids. Using this technology, we readily identified a total of 68 NAE lipids across different biological samples. Finally, we used the 4D untargeted technology to comprehensively quantify 47 NAE lipids in 10 functional regions in the mouse brain and revealed a broad spectrum of the age-associated changes in NAE lipids across brain regions. We envision that the comprehensive analysis of NAE lipids will strengthen our understanding of their functions in regulating distinct physiological activities.
酰乙醇胺 (NAE) 是一类重要的信号脂质,参与多种生理过程,如能量平衡、抗炎反应和神经功能。NAE 脂质在功能上不同但结构相似,并且在生物系统中的浓度通常较低。因此,全面分析复杂生物基质中的 NAE 脂质极具挑战性。在这项工作中,我们开发了一种基于离子淌度-质谱 (IM-MS) 的四维 (4D) 非靶向技术,用于全面分析 NAE 脂质。首先,我们采用吡啶基衍生化方法,将 NAE 脂质的电离灵敏度提高了 2-9 倍。接下来,我们开发了两步定量结构-保留关系 (QSRR) 策略,并使用 AllCCS 软件编纂了一个包含 170 种 NAE 脂质的 4D 库,其中包含关于 /、保留时间、碰撞截面和 MS/MS 谱的信息。然后,我们开发了一种由 4D 库支持的 4D 非靶向技术,以支持 NAE 脂质的明确鉴定。使用这项技术,我们很容易在不同的生物样本中鉴定出总共 68 种 NAE 脂质。最后,我们使用 4D 非靶向技术全面定量了小鼠大脑 10 个功能区中的 47 种 NAE 脂质,并揭示了大脑不同区域 NAE 脂质与年龄相关的广泛变化。我们设想,全面分析 NAE 脂质将加强我们对其在调节不同生理活动中的功能的理解。