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RESEARCH PAPER

Glycolysis as a central pathological axis in neurodegenerative diseases.

PMID
42043421
Journal
Reviews in the neurosciences
Publication Date
2026-04-23
Grade
D

AI Summary

A broad, up-to-date review positioning glycolysis and cell type–specific metabolic reprogramming as a central pathological axis across neurodegenerative diseases and summarizing actionable targets (e.g., PFKFB3, ANLS, microglial glycolysis), multimodal measurement methods, and therapeutic…

Why It Matters

For Parkinson’s research it highlights modifiable metabolic pathways and translational tools that could yield repurposable targets and biomarkers, albeit with limited PD-specific causal data and important cell type/stage complexities to address.

Abstract

Glycolysis is increasingly recognized as a pathological backbone in neurodegenerative diseases rather than merely an accompanying epiphenomenon. This article first delineates the division of metabolic labor among neurons, astrocytes, microglia, and oligodendrocytes in the brain, with particular emphasis on cell type-specific glycolytic flux, lactate shuttling, and an integrated brain-periphery framework of energy metabolism. It then systematically compares alterations in glucose uptake, glycolytic intermediates, and lactate metabolism across Alzheimer disease (AD), Parkinson disease (PD), amyotrophic lateral sclerosis (ALS), Wilson disease (WD), Huntington's disease (HD), and multiple sclerosis (MS), highlighting pronounced heterogeneity across cell types, disease stages, and brain regions. These metabolic disturbances encompass not only global cerebral hypometabolism and an energy crisis, but also compensatory hyperglycolysis and inflammation-associated metabolic reprogramming in astrocytes and microglia, and extend further to systemic metabolic phenotypes involving peripheral blood cells, muscle, and liver. The article summarizes recent methodological advances for characterizing glycolytic reprogramming, including fluorodeoxyglucose positron emission tomography (FDG-PET), hyperpolarized carbon-13 magnetic resonance spectroscopy(ˆ13C-MRS), metabolomics, single-cell and spatial transcriptomics, genetically encoded metabolic sensors, and Seahorse assays. In addition, potential therapeutic strategies are discussed, focusing on targets such as 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 3(PFKFB3), the astrocyte-neuron lactate shuttle (ANLS), microglial glycolysis and lactylation, as well as systemic metabolic modulation and nanodelivery approaches. Finally, key challenges are highlighted, including unclear causal relationships, biphasic and cell type-specific effects, insufficient brain-periphery integration, and the lack of standardized metrics, underscoring the need for longitudinal, multimodal, and stage-specific strategies to reposition glycolysis as a targetable therapeutic dimension in neurodegenerative diseases.

Score Breakdown

AI Score
72.0
Base Score
54.7
Rank Score
52.5
Narrative Velocity
-
AI Confidence
-
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