Spatially resolved transcriptome-metabolome integration reveals region-specific glial lipid dysregulation associated with Alzheimer's pathology

Abstract

Glial cells maintain the brain's lipid and energy balance, and their breakdown is increasingly recognized as a causal contributor to Alzheimer's disease (AD). While this concept is established, no approach has directly shown how glial homeostatic failure manifests across brain regions and microenvironments or how it links local pathology, such as plaques, to global metabolic imbalance. To address this gap, we developed iMIST, an integrated platform that combines MALDI-based metabolite imaging, histology, and spatial transcriptomics within a single tissue section to align molecular and anatomical information. Using a mouse model of late-onset AD that recapitulates both amyloid deposition and metabolic vulnerability, iMIST revealed that glial lipid dysregulation is widespread but spatially specialized. In gray matter, plaque-associated microglia were associated with upregulated glycerophospholipid-remodeling in cortico-thalamic areas indicating metabolic stress around local pathology. In contrast, white matter tracts rich in lipid-producing oligodendrocytes show plaque-independent deficits in galactosylceramide metabolism reflecting their high myelin demand. Both processes intensify with age, transforming adaptive glial responses into persistent metabolic dysfunction. Together, these findings demonstrate the spatial interplay between global glial metabolic imbalance and local microenvironmental stressors associated with AD pathology. By integrating transcriptomic and metabolomic information in situ, iMIST provides a framework for uncovering how regional glial vulnerability shapes the pathogenesis of neurodegenerative diseases.