Research overview
The text below is the source article’s original abstract under a verified reuse license. cc by
O-GlcNAcylation, a nutrient-sensitive post-translational modification, has emerged as a key regulator of immune and inflammatory processes. However, its role in neuroinflammation and neurodegenerative disease progression remains poorly defined. In this study, we explored how reduced O-GlcNAcylation contributes to neuroinflammatory signaling in Parkinson's disease (PD), a disorder increasingly recognized to involve dysregulated immune-metabolic interactions. Analysis of postmortem PD substantia nigra (SN) revealed a marked reduction in global O-GlcNAcylation levels, concomitant with enhanced neuroinflammatory signatures and a predominance of pro-inflammatory microglial activation states. In a lipopolysaccharide (LPS)-induced PD mouse model, pharmacological elevation of O-GlcNAcylation through glucosamine (GlcN) or the Thiamet-G significantly ameliorated motor deficits, preserved tyrosine hydroxylase (TH)-positive dopaminergic neurons, and attenuated neuroinflammatory responses, including glial activation and inflammasome assembly. In primary microglial cultures, enhanced O-GlcNAcylation suppressed LPS-induced pro-inflammatory gene expression while promoting anti-inflammatory and homeostatic phenotypes. Mechanistically, increased O-GlcNAcylation dampened NF-κB signaling activity and reduced the production of pro-inflammatory cytokines, thereby reprogramming microglial functional states. Collectively, these findings identify O-GlcNAcylation as a critical modulator of microglial-mediated neuroinflammation and highlight its therapeutic potential for inflammation-associated neurodegenerative disorders such as PD.
Scientific assessment
Research question
Assess the question within the original study’s scope.
Methods & sample
Check the source article for study design and sample details.
Key findings
An editorially approved findings summary is not yet published for this record.
Limitations
Generalizability, bias and clinical meaning require separate assessment.
Methods, samples and clinical conclusions are not inferred from bibliographic metadata.