GEO series
Transcriptome analysis of the prefrontal cortex identifies inflammatory genes associated with cognitive impairment in a model of multiple sclerosis
GSE317172
Mus musculus
Expression profiling by high throughput sequencing
11 samples
2026/04/08
GPL24247
Summary
Cognitive impairment (CI) is a hallmark of multiple sclerosis (MS). Despite its relevance, however, knowledge of the key steps involved in its pathogenesis remains incomplete. Consequently, predictive biomarkers and actionable therapeutic options to counteract CI in MS patients are not available. To identify changes associated with CI in MS, we performed transcriptomic analyses of the prefrontal cortex (PFC), a cortical region relevant for cognition, in the experimental autoimmune encephalomyelitis (EAE) mouse model. Our analyses highlighted the strong upregulation of inflammatory pathways in the PFC of EAE mice. Clustering of the top differentially expressed genes (DEGs) in the PFC identified a low (EAE-L) and a high (EAE-H) inflammation subgroup. Notably, enhanced inflammation in the EAE PFC caused increased changes in expression levels of MS-associated genes with relevance for CI. Cell Type-Specific Expression Analysis (CSEA) and morphological analyses indicated that, while EAE-L mice showed only microglia activation, EAEH mice also displayed the involvement of astrocytes, consistent with a more advanced stage of disease. Moreover, neuronal genes were only downregulated in the EAE-H PFC. Analysis of cognitive performance in pre-symptomatic EAE mice revealed that high expression of genes associated with the antigen presentation and the complement pathways was associated with CI. Moreover, expression of C1q complement proteins was increased in the cerebrospinal fluid of MS patients affected by CI. These findings indicate that inflammation in the PFC during EAE is associated with CI and identify a subset of inflammatory genes that may represent early markers and risk factors for functional PFC impairment and loss of cognitive performance in MS patients.
Download
NCBI GEO page ↗
Paper (PMID 41881968) ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
mouse RNA-seq datasets →
Similar datasets
- GSE292862 Modelling mouse embryogenesis from chemically induced totipotent stem cells 22 samples
- GSE185862 A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation 95 samples
- GSE304862 Semaglutide and exercise synergy in obesity: preserving muscle mass and uncovering organ crosstalk 209 samples
- GSE293315 MRPGRX2 Antagonist Treatment Prevents Inflammation and Disease in a Mouse Model of Atopic Dermatitis Dataset 2 35 samples
- GSE255837 Dysregulation of the Normal Wound Healing Cascade in Volumetric Muscle Loss Injury 30 samples
- GSE341948 Multi-tissue transcriptomic landscape reveals synergistic mechanisms of exercise and GLP-1 agonist in ameliorating diabetic phenotypes in db/db mice 12 samples
- GSE337190 CAR-NKT cells induce low cytokine release syndrome by targeting hyperinflammatory macrophages with mitigation from GM-SCF inhibition. 24 samples
- GSE306116 Caspase-3 Control of RNA Splicing and Mitochondrial Dynamics in Microglia during Parkinson’s Disease [RNA-Seq] 12 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.