← BioTransfer GEO Dataset Finder
GEO series

MMPs and NETs are detrimental in CNS-tuberculosis with MMP inhibitor doxycycline improving murine CNS-tuberculosis survival (mouse)

GSE244086 Mus musculus Expression profiling by high throughput sequencing 69 samples 2025/10/15 GPL19057
Summary
Despite effective anti-tuberculous treatment (ATT), up to 40% of patients with central nervous system tuberculosis (CNS-TB) suffer permanent neurological deficits and death. Immunopathology in CNS-TB, characterized by extensive brain inflammation and tissue destruction, is driven by a matrix-degrading phenotype, which results from an increase in matrix metalloproteinases (MMPs) relative to their tissue-specific inhibitors (tissue inhibitor of metalloproteinases, TIMPs). The immunopathological mechanism of CNS-TB remains undefined, hindering the development of new CNS-TB therapies. By performing laser capture microdissection RNA sequencing (LCM-RNA Seq), we profiled the spatial transcriptome of murine CNS-TB (M.tb H37Rv-infected C57BL6 Nos2-/- mice) and healthy murine (C57BL6 Nos2-/- mice) as control. The granulomas from murine CNS-TB treated with ATT alone, ATT with SB-3CT (MMP-2/9-specific MMP inhibitor), and ATT with doxycycline (broad spectrium MMP-inhibitor) were also profiled. Genes implicated in defense, immune, inflammatory and cytokine responses, neutrophil degranulation, antigen presentation and Toll-Like Receptor cascades, present predominantly in CNS-TB granulomas relative to other tissue types. On the other hand, genes relate to trans-synaptic signaling, synapse and cell junction organisation, neuron development and differentiation had decreased expression in murine CNS-TB inflammatory and granuloma tissues. We also found an increased expression of genes involve in response to oxidative stress, apoptosis and programmed cell death in murine CNS-TB treated with ATT plus adjunctive MMP inhibitors.
Download
NCBI GEO page ↗ Paper (PMID 41076519) ↗ {# 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

Search all mouse RNA-seq datasets in GEO →

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.