School of Pharmacy, University of Wisconsin-Madison, Madison, WI, 53705, USA.
Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Nat Commun. 2024 Jul 24;15(1):6252. doi: 10.1038/s41467-024-50299-9.
Dysregulated glycerophospholipid (GP) metabolism in the brain is associated with the progression of neurodegenerative diseases including Alzheimer's disease (AD). Routine liquid chromatography-mass spectrometry (LC-MS)-based large-scale lipidomic methods often fail to elucidate subtle yet important structural features such as sn-position, hindering the precise interrogation of GP molecules. Leveraging high-resolution demultiplexing (HRdm) ion mobility spectrometry (IMS), we develop a four-dimensional (4D) lipidomic strategy to resolve GP sn-position isomers. We further construct a comprehensive experimental 4D GP database of 498 GPs identified from the mouse brain and an in-depth extended 4D library of 2500 GPs predicted by machine learning, enabling automated profiling of GPs with detailed acyl chain sn-position assignment. Analyzing three mouse brain regions (hippocampus, cerebellum, and cortex), we successfully identify a total of 592 GPs including 130 pairs of sn-position isomers. Further temporal GPs analysis in the three functional brain regions illustrates their metabolic alterations in AD progression.
脑内甘油磷脂(GP)代谢失调与神经退行性疾病(包括阿尔茨海默病)的进展有关。基于常规液相色谱-质谱(LC-MS)的大规模脂质组学方法通常无法阐明细微但重要的结构特征,如 sn-位置,从而阻碍了对 GP 分子的精确研究。利用高分辨率解复用(HRdm)离子淌度谱(IMS),我们开发了一种 4D 脂质组学策略来解析 GP sn-位置异构体。我们进一步构建了一个包含 498 种从小鼠脑中鉴定出的 GP 的全面的实验性 4D GP 数据库和一个由机器学习预测的 2500 种 GP 的深入扩展 4D 库,从而能够对 GP 进行自动分析,并对其酰基链 sn-位置进行详细分配。通过分析三个小鼠脑区(海马体、小脑和皮层),我们成功鉴定出了总共 592 种 GP,包括 130 对 sn-位置异构体。对三个功能性脑区的时间性 GP 分析进一步说明了它们在 AD 进展过程中的代谢变化。