ArticleiScience2026
Decoding neuron-specific lineage to identify diagnostic biomarkers and therapeutic targets for ischemic stroke.
Article in iScience, 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
8 authors.
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Abstract
Ischemic stroke (IS) imposes a major global health burden. To uncover new diagnostic and therapeutic targets, we profiled neuronal heterogeneity during IS using single-cell RNA sequencing. Our analysis decoded neuronal lineage trajectories, identified a critical cell-cell communication network, and pinpointed key gene modules. By integrating multiple machine learning algorithms, we constructed a highly accurate diagnostic model based on the hub genes Il18 and Cherp. This model was rigorously validated across multi-omics datasets and species. We further confirmed that Cherp promotes neuronal repair by regulating calcium homeostasis, while Il18 serves as a potential early blood biomarker. This work provides effective targets and translatable tools for advancing IS precision medicine.
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