| Autor: |
Xu, Shuling, Zhu, Zhijun, Delafield, Daniel G., Rigby, Michael J., Lu, Gaoyuan, Braun, Megan, Puglielli, Luigi, Li, Lingjun |
| Zdroj: |
Nature Communications; 5/16/2024, Vol. 15 Issue 1, p1-18, 18p |
| Abstrakt: |
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.Dysregulated glycerophospholipid metabolism in the brain is associated with neurodegenerative diseases. Here, the authors present a 4D lipidomics strategy that profiles glycerophospholipids at the sn-position-resolved level, revealing potentially altered remodeling pathways. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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