ArticleCell & bioscience2026
Lactylation-related genes contribute to neurological injury and prognosis of acute ischemic stroke based on transcriptome and single-cell sequencing analysis.
Article in Cell & bioscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Identification and Validation of a Lactylation-Related Gene Expression Signature for Diagnosis of Acute Ischemic Stroke.Molecular neurobiology · 2026Article
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10 authors.
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Abstract
backgroundThe rapid accumulation of lactate following cerebral ischemia has been well documented, however, the pathophysiological mechanisms underlying hyperlactate-induced lactylation in modulating neurological injury and prognosis of acute ischemic stroke (AIS) remain to be fully elucidated.
methodsWe constructed transcriptomic profiles of peripheral blood mononuclear cells (PBMCs) from 60 AIS patients and 60 healthy controls using the Illumina sequencing platform. Unsupervised consensus clustering based on 56 lactylation-related genes (LRGs) was applied to stratify AIS molecular subtypes. Single-cell sequencing data analysis was conducted to evaluate the regulatory effects of LRGs enrichment on inter-neuronal communication.
results265 differentially expressed genes (DEGs), including 162 upregulated and 103 downregulated, were identified between AIS patients and healthy controls. And DEGs were found to be enriched in natural killer cell-mediated cytotoxicity, cytokine-cytokine receptor interaction, and TGF-β signaling pathways. Unsupervised consensus clustering stratified AIS into two subtypes, with AIS2 exhibiting more severe neuronal injury and inflammatory responses. Single-cell sequencing analysis revealed that LRGs were predominantly enriched in NK&T cells following cerebral ischemia. Cell communication analysis further suggested that LRGs might regulate interactions between NK&T cells and neural cells via the Nampt-Insr and Tnf-Tnfsf1b ligand-receptor pair. LASSO regression selected four prognosis-related genes (SUMO2, SUB1, LSP1, EEF1G) with robust diagnostic efficacy for prognosis prediction (AUC value = 0.805, sensitivity = 0.875, specificity = 0.706).
conclusionOur findings reveal significant correlations between LRGs in AIS patients and both neurological deficit severity and inflammatory status, highlighting LRGs as potential prognostic biomarkers for AIS.
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