Analiza ekspresji genów na poziomie pojedynczych komórek ujawnia przegrupowanie połączeń synaptycznych w różnych częściach hipokampu u myszy z ogniskową epilepsją skroniową

BACKGROUND: Preclinical animal models are critical tools to study the pathophysiology of epilepsy. The intra-amygdala microinjection of kainic acid in mice recapitulates key features of drug-resistant temporal lobe epilepsy, including unilateral hippocampal pathology and broad resistance to anti-seizure medicines, and is increasingly used to discover novel targets for disease-modification. Defining the gene expression landscape at single-cell resolution may reveal how different cell types adapt to chronic seizures and help identify additional biomarkers and targets in this model. METHODS: We generated a single-nucleus RNA-seq dataset using ipsilateral hippocampi collected two weeks after status epilepticus in the mouse intra-amygdala kainic acid model. Samples from epileptic and control mice were processed using the 10X Genomics platform, with a total of 34,737 nuclei sequenced representing all major cellular subtypes in the hippocampus. RESULTS: Differential gene expression analysis revealed cell subtype- and subfield-specific dysregulation across the hippocampus in epileptic mice. Activity-regulated genes were increased in neurons in the dentate gyrus, CA1 and CA3 subfields. Dentate gyrus neurons displayed the greatest differential gene expression, enriched for synaptogenesis, plasticity and NMDA receptor signalling. Transcription profiles for CA3 glutamatergic neurons indicated mechanical and injury responses whereas CA1 signatures were enriched for neuroinflammation and wound healing. Astrocytes displayed the most differential gene expression among glial populations, characterised by mixed reactive pro- and anti-inflammatory responses and altered metabolic states. Cell-cell communication analysis predicted extensive remodelling of hippocampal signalling across cell subtypes, including for glutamate and latrophilin-mediated ligand-receptor pairing among dentate gyrus and CA2 neuron connections. CONCLUSIONS: Our study provides an atlas of transcriptomic changes at the single cell level for the mouse intra-amygdala kainic acid model of temporal lobe epilepsy, highlighting network adaptations to hyperexcitability. The findings support a cell subtype basis for gene expression changes underlying pathophysiology and can guide novel therapeutic strategies to reduce or reverse chronic neuronal hyperexcitability in drug-resistant epilepsy.