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The lipidomic architecture of the mouse brain

Bassini, Luca Fusar
•
Schede, Halima Hannah  
•
Capolupo, Laura  
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October 14, 2025

Lipids are fundamental components of the brain, crucial for synaptic transmission and signal propagation. Altered brain lipid composition is associated with common and rare neuropathologies, yet, the spatial organization of the mammalian brain lipidome remains insufficiently characterized compared to other modalities. Here, we mapped the membrane lipid architecture of the adult mouse brain at micrometric scale, across sexes, and during pregnancy. This Lipid Brain Atlas reveals that lipids define a fine-grained biochemical structure that aligns with functional anatomy. Membrane lipid spatial heterogeneity clusters into territories, which we termed lipizones. Lipizones partially mirror cell type territories, but also capture distal axon terminals. Through lipizones, (i) we reveal the organizing principles of the gray matter lipidome, related to connectivity and cytoarchitecture; (ii) we discover a new axis of oligodendrocyte heterogeneity in the white matter; (iii) and we find biochemical zonation in the choroid plexus and in the ventricular walls. We show that this lipidomic architecture can adapt to changing physiological needs. In the brain of pregnant females, the white matter is metabolically activated and the outer cortex is reorganized. These results are a foundational resource (https://lbae-v2.epfl.ch/), poised to reshape our understanding of lipids in brain development, physiology, and pathology.

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Type
preprint
DOI
10.1101/2025.10.13.682018
Author(s)
Bassini, Luca Fusar

École Polytechnique Fédérale de Lausanne

Schede, Halima Hannah  

École Polytechnique Fédérale de Lausanne

Capolupo, Laura  

École Polytechnique Fédérale de Lausanne

Alieh, Leila Haj Abdullah

École Polytechnique Fédérale de Lausanne

Venturi, Francesca  

École Polytechnique Fédérale de Lausanne

Valente, Alessandro  

École Polytechnique Fédérale de Lausanne

Droin, Colas  

École Polytechnique Fédérale de Lausanne

Trejo-Tapia, Daniel

École Polytechnique Fédérale de Lausanne

Khven, Irina  

École Polytechnique Fédérale de Lausanne

Asirim, Ece Z.  

École Polytechnique Fédérale de Lausanne

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Date Issued

2025-10-14

Publisher

bioRxiv

Written at

EPFL

EPFL units
UPLAMANNO  
UPDANGELO  
SDSC-GE  
FunderFunding(s)Grant NumberGrant URL

Swiss National Science Foundation

Swiss Data Science Center

C22-07

Kristian Gerhard Jebsen Foundation

Available on Infoscience
February 18, 2026
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/259709
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