Spatially and temporally probing distinctive glycerophospholipid alterations in Alzheimer's disease mouse brain via high-resolution ion mobility-enabled sn-position resolved lipidomics.
Shuling XuZhijun ZhuDaniel G DelafieldMichael J RigbyGaoyuan LuMegan BraunLuigi PuglielliLingjun LiPublished in: Nature communications (2024)
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.
Keyphrases
- high resolution
- mass spectrometry
- liquid chromatography
- machine learning
- tandem mass spectrometry
- gas chromatography
- white matter
- cognitive decline
- deep learning
- high performance liquid chromatography
- high resolution mass spectrometry
- capillary electrophoresis
- optical coherence tomography
- blood brain barrier
- mild cognitive impairment
- fatty acid
- solid phase extraction