ArticleClinical and translational medicine2026
Multi-omics integration and machine learning identify an ACKR1
Article in Clinical and translational medicine, 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
backgroundEarly identification of vulnerable carotid plaques is crucial for stroke prevention, but the upstream metabolic processes linked to endothelial transition and immune recruitment remain poorly defined. We characterised lactate metabolism in ACKR1
methodsInternal and external (GSE253903) single-cell datasets were integrated to identify endothelial subpopulations, and bulk transcriptomic (GSE163154) and in-house proteomic data were used to assess metabolism-immune correlations. Least absolute shrinkage and selection operator (LASSO) regression selected core features for a logistic model, which was locked and applied to three independent cohorts: GSE43292 (Stary stage ≥ IV vs. I-II), GSE28829 (early vs. advanced lesions) and GSE100927 (normal vs. atherosclerotic arteries). Key molecules were validated in situ by immunohistochemistry (IHC) and spatial transcriptomics in independent plaques (five stable, five unstable).
resultsAn ACKR1
conclusionsLactate metabolic reprogramming under hypoxia is associated with ACKR1
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