ArticleTranslational psychiatry2026
Single-cell, spatial, and machine learning analyses identify ANKIB1 as an oligodendrocyte-anchored palmitoylation-associated candidate biomarker of Alzheimer's disease.
Article in Translational psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Alzheimer's disease (AD) is characterized by progressive neurodegeneration and cognitive decline, yet most candidate therapies targeting amyloid-β have failed to robustly modify disease progression, underscoring an incomplete mechanistic understanding. Oligodendrocytes (ODCs) have recently emerged as active contributors to AD pathology, but the cell-type-specific role of protein S-palmitoylation - a reversible lipid post-translational modification regulating membrane targeting and trafficking - in AD remains uncharacterized. Here we performed an integrated multi-omics analysis combining single-cell RNA sequencing (GSE233208; 48,714 cells), five bulk transcriptomic cohorts (769 samples), and 10× Visium spatial transcriptomic data from 16 brain sections. Palmitoylation activity was quantified at single-cell resolution using a curated 46-gene set; machine learning frameworks (LASSO, random forest, and XGBoost) were used to distil a parsimonious biomarker panel; and four complementary metrics (Jaccard index, overlap coefficient, colocalization percentage, and odds ratio) were applied to evaluate spatial gene-cell colocalization. Oligodendrocytes emerged as the cell population most strongly enriched for palmitoylation activity in the AD brain, supported by per-cell-type scoring, odds ratio enrichment, and an ODC-anchored 658-gene palmitoylation module. Intersection with AD-associated differentially expressed genes yielded 89 candidate genes, from which machine learning identified a seven-gene biomarker panel (ANKIB1, SPAG9, HBP1, SLC25A29, FAM171A1, ATXN10, and NDUFV1). ANKIB1 consistently topped every layer of analysis, with the highest AUC for AD discrimination (0.813, 95% CI 0.782-0.844) and persistent spatial colocalization with ODC-enriched regions across early AD and AD. Network pharmacology nominated AHR and TRIM11 as candidate upstream regulators and catalogued compounds with reported gene interactions. These findings identify the ODC-palmitoylation axis as a previously underappreciated dimension of AD biology and position ANKIB1 as a leading candidate biomarker of ODC dysfunction in AD.
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