RESEARCH PAPER
Neuroinflammation, Autophagy, and Neurodegeneration: Mechanisms and Therapeutic Insights.
AI Summary
This review links dysregulated neuroinflammation and autophagy (via mTOR/AMPK, inflammasomes, chaperone-mediated autophagy and impaired clearance of α-synuclein) to neurodegeneration and surveys therapeutic strategies—mTOR inhibitors, autophagy enhancers, inflammasome modulators, gene/RNA editing,…
Why It Matters
Relevant to Parkinson’s therapeutic discovery because it consolidates actionable targets and translational approaches (autophagy pathways, inflammasome/CMA modulation, biomarkers, gene/RNA therapies, and screening technologies) that can guide target selection and repurposing, although its value is…
Abstract
Neuroinflammation and autophagy dysregulation are critical in the pathogenesis of neurodegenerative diseases like Alzheimer's, Parkinson's, and Huntington's disease. Neuroinflammation occurs after a sustained immune response, which transitions into a chronic pathological state, leading to the sustained generation of pro-inflammatory cytokines and oxidative stress, causing neuronal damage. Meanwhile, defective autophagy exacerbates disease by promoting protein accumulation, e.g., amyloid-β, tau, and α-synuclein, thereby enhancing neuroinflammation. In this review, we focus on critical pathways, including mTOR and AMPK, that regulate these events and illustrate how their dysregulation may lead to a vicious cycle of inflammation and autophagy dysfunction. Novel therapeutic strategies, including mTOR inhibitors, autophagy enhancers, and inflammasome modulators, may contribute to cellular homeostasis. Furthermore, approaches that promote upregulation of chaperone- mediated autophagy can enable selective clearance of mediators of inflammatory response and aggregated/misfolded proteins. Advanced approaches such as CRISPR-based gene editing and RNA therapeutics provide tools to target molecular mechanisms involved in these neurodegenerative disorders, whereas the development of reliable biomarkers and novel delivery strategies may pave the way for personalized treatments. Moreover, artificial intelligence-based workflows and models may strengthen phenotypic and mechanistic screening of autophagy modulators and potential drug targets. By incorporating these forthcoming insights, this review underscores the critical need for comprehensive therapies that target both neuroinflammation and autophagy dysfunction to mitigate disease progression and improve patient outcomes.