The Neurolipid Atlas: a lipidomics resource for neurodegenerative diseases uncovers cholesterol as a regulator of astrocyte reactivity impaired by ApoE4.
Femke M FeringaSascha J Koppes-den HertogLian WangRico J E DerksIris KruijffLena ErlebachJorin HeijnemanRicardo MiramontesNadine PömpnerNiek BlombergDamien Olivier-JimenezLill Eva JohansenAlexander J CammackAshling GiblinChristina E ToomeyIndigo V L RoseHebao YuanMichael WardAdrian M IsaacsMartin Edward KampmannDeborah Kronenberg-VersteegTammaryn LashleyLeslie M ThompsonAlessandro OriYassene MohammedMartin A GieraRik van der KantPublished in: bioRxiv : the preprint server for biology (2024)
Lipid changes in the brain have been implicated in many neurodegenerative diseases including Alzheimer's Disease (AD), Parkinson's disease and Amyotrophic Lateral Sclerosis. To facilitate comparative lipidomic research across brain-diseases we established a data commons named the Neurolipid Atlas, that we have pre-populated with novel human, mouse and isogenic induced pluripotent stem cell (iPSC)-derived lipidomics data for different brain diseases. We show that iPSC-derived neurons, microglia and astrocytes display distinct lipid profiles that recapitulate in vivo lipotypes. Leveraging multiple datasets, we show that the AD risk gene ApoE4 drives cholesterol ester (CE) accumulation in human astrocytes recapitulating CE accumulation measured in the human AD brain. Multi-omic interrogation of iPSC-derived astrocytes revealed that cholesterol plays a major role in astrocyte interferon-dependent pathways such as the immunoproteasome and major histocompatibility complex (MHC) class I antigen presentation. We show that through enhanced cholesterol esterification ApoE4 suppresses immune activation of astrocytes. Our novel data commons, available at neurolipidatlas.com, provides a user-friendly tool and knowledge base for a better understanding of lipid dyshomeostasis in neurodegenerative diseases.
Keyphrases
- induced pluripotent stem cells
- endothelial cells
- resting state
- cognitive decline
- white matter
- stem cells
- amyotrophic lateral sclerosis
- electronic health record
- low density lipoprotein
- single cell
- big data
- high fat diet
- cerebral ischemia
- high glucose
- healthcare
- pluripotent stem cells
- metabolic syndrome
- rna seq
- signaling pathway
- machine learning
- transcription factor
- gene expression
- spinal cord injury
- dna methylation
- bone marrow
- skeletal muscle
- subarachnoid hemorrhage
- brain injury
- data analysis
- genome wide analysis