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Lysophosphatidic acid (LPA)-dependent propagation of neuroinflammation in an optimized model of post-hemorrhagic hydrocephalus.

GSE272062 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2025/05/22 Platform GPL34328
Summary
Post-hemorrhagic hydrocephalus (PHH) is a neurological disease that primarily affects premature infants and involves infiltration of blood into the brain’s ventricles followed by excessive accumulation of cerebrospinal fluid (CSF) leading to ventricular enlargement and increased intracranial pressure. However, the precise mechanisms driving PHH development and persistence remain incompletely known and lack medical and disease modifying treatments. Here we use a mouse model of PHH to identify transcriptomic, proteomic and cellular changes involving neurovascular and neuroimmunological microglial alterations as features of PHH, overlapping with those reported in human disease. Improvements on a lysophosphatidic acid (LPA)-initiated PHH mouse model were developed and combined with unbiased proteomic and single-nucleus transcriptomics that identified microglial molecular pathways promoting PHH. Pharmacological disruption of microglia in vivo significantly reduced PHH-associated ventriculomegaly. These data identify microglia and neurovascular molecular elements in the development of PHH, implicating them as potentially tractable therapeutic targets towards developing new treatments for PHH.
Published in
Neuroinflammation in an Optimized Model of Lysophosphatidic Acid (LPA)-Induced Post-hemorrhagic Hydrocephalus
Sánchez-Pavón P, Palmer CR, Liu CS et al. · Neurochemical research 2025 · PMID 40971013 · doi:10.1007/s11064-025-04542-4
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Direct links to NCBI, no account and no request form: the whole study as GSE272062_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1134761 and SRA study SRP519373. Searching any of these in the dataset finder brings you back here.

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