Cell type-specific master metabolic regulators of Alzheimer's disease.

bioRxiv : the preprint server for biology 2025
Open on PubMed

Alzheimer's disease (AD) exhibits metabolic heterogeneity; yet, the consequences on metabolic dynamics in a cell-type-specific manner and the underlying metabolite-sensor network basis remain unclear. Here, we show that neurons exhibit a striking decrease in energy and lipid-related metabolic activity, contrasted by an increase in microglial metabolism associated with neuroinflammation. To identify cell-type specific master metabolic regulators of AD underlying the metabolic alterations in AD, we introduce scFUMES (<b>s</b>ingle <b>c</b>ell <b>FU</b>nctional <b>ME</b>tabolite-<b>S</b>ensor), an algorithm integrating single-cell RNA sequencing, interactomics, genomics, transcriptomics, and metabolomics from human brain biobanks. Applied to two AD-vulnerable regions (middle temporal gyrus and dorsolateral prefrontal cortex), scFUMES uncovers hundreds of AD-associated regulators, with neurons and microglia showing the most interactions. Particularly, scFUMES pinpoints genetics-informed master metabolic regulators across AD severity, sex and <i>APOE</i> genotype (e.g., PPARD-glycerol in microglia). Experimental testing reveals that two interaction pairs predicted by scFUMES, neuronal palmitic acid bound fatty acid binding protein 3 and gut metabolite indole-3-propionic acid binding to kynurenine aminotransferase 1, both lower pathological tau species in AD. Collectively, scFUMES systematically maps AD master metabolic regulators, offering insights into cellular metabolic heterogeneity and therapeutic strategies for AD and other AD-related dementia if broadly applied.

7 Figures Extracted
Figure 1.
Figure 1. PMC
A systematic framework for the characterization of metabolic heterogeneity in AD. a Single sc/sn RNA-seq datasets. Datasets were retrieved from The S...
Figure 2.
Figure 2. PMC
Molecular profiles of cell-type-specific metabolic heterogeneity in AD. a, b Single-cell-specific signaling entropy for AD and non-AD samples in the ...
Figure 3.
Figure 3. PMC
Systematic characterization of metabolite-sensor network in AD. a Circos plot showing overall metabolite-sensor pairs identified by scFUMES for each ...
Figure 4.
Figure 4. PMC
scFUMES-predicted palmitic acid reduces Tau neuropathology via FABP3. a 3D Binding mode of FABP3-palmitic acid. b Representative blots of RIPA-solu...
Figure 5.
Figure 5. PMC
Discovery of AD likely causal master metabolic regulators across cell types. a Prediction of AD likely causal metabolite by utilizing Mendelian Rando...
Figure 6.
Figure 6. PMC
AD genetically informed metabolites-mediated metabolite-sensor network. a, b Network representations of genetics-supported metabolite-sensor pairs ac...
Figure 7.
Figure 7. PMC
Gut metabolite indole-3-propionic acid reduce Tau phosphorylation via KYAT1. a 3D Binding mode of KYAT-indole-3-propionic acid (IPA). b TauRD cells...