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Vagus nerve-mediated neuroimmune modulation accelerates remyelination and functional recovery in a preclinical model of multiple sclerosis

GSE325248 Mus musculus Expression profiling by high throughput sequencing 5 samples Submitted 2026/03/18 Platform GPL34328
Summary
Failure of remyelination contributes to persistent disability in multiple sclerosis (MS), yet no approved therapies directly promote central nervous system repair. Observations of enhanced oligodendrocyte maturation signatures during vagus nerve-mediated neuroimmune modulation (VNIM) in the experimental autoimmune encephalomyelitis model of MS prompted us to test whether VNIM could promote remyelination. Here we show that VNIM, delivered as a single 1-minute treatment using clinically relevant parameters, accelerates remyelination and functional recovery in lysolecithin-induced focal demyelination. VNIM reduced lesion volume, increased remyelinated axons with thicker myelin sheaths, enhanced debris clearance, and promoted blood-brain barrier repair. Single-cell transcriptomic analyses revealed that VNIM reshaped the lesion microenvironment by promoting microglial states associated with debris clearance and pro-repair signaling while advancing oligodendrocyte precursor maturation. Together, these findings identify VNIM as a therapeutic strategy that coordinates glial repair programs to accelerate remyelination, providing preclinical rationale for an ongoing clinical trial in relapsing-remitting MS (ClinicalTrials.gov: NCT06796504). This GEO submission includes single-cell RNA sequencing (scRNA-seq) data from lesion, non-lesion, and naïve spinal cord white matter tissue used in this study.
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Direct links to NCBI, no account and no request form: the whole study as GSE325248_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 5 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1439270 and SRA study SRP684816. Searching any of these in the dataset finder brings you back here.

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