Brain microenvironment-remodeling nanomedicine improves cerebral glucose metabolism, mitochondrial activity and synaptic function in a mouse model of Alzheimer's disease
Bibliographic record
Abstract
The development of disease-modifying therapeutics for Alzheimer's disease remains challenging due to the complex pathology and the presence of the blood-brain barrier. Previously we have described the investigation of a brain-penetrating multifunctional bioreactive nanoparticle system capable of remodeling the hypoxic and inflammatory brain microenvironment and reducing beta-amyloid plaques improving cognitive function in a mouse model of Alzheimer's disease. Despite the linkage of hypoxia and inflammation to metabolic alteration, the effects of this system on modulating cerebral glucose metabolism, mitochondrial activity and synaptic function remained to be elucidated. To examine this, a transgenic mouse model of Alzheimer's disease (TgCRND8) in vivo were treated intravenously with beta-amyloid antibody-conjugated (Ab), blood-brain barrier-crossing terpolymer (TP) containing polymer-lipid based manganese dioxide nanoparticles (Ab-TP-MDNPs). Alterations in cerebral glucose utilization were determined by [ 1 ⁸F]FDG-PET imaging in vivo, with glucose metabolism and mitochondrial activity analyzed by biomarkers and studies with primary neurons in vitro . Synaptic function was evaluated by both biomarkers and electrophysiologic analysis. Current study shows that intravenously administered Ab-TP-MDNPs enhanced cerebral glucose utilization, improved glucose metabolism, mitochondrial activity, and increased the levels of neprilysin, O-glycosylation. The consequence of this was enhanced glucose and ATP availability, resulting in improved long-term potentiation for promoting neuronal synaptic function. This study highlights the importance of targeting the metabolism of complex disease pathologies in addressing disease-modifying therapeutics for neurodegenerative disorders such as Alzheimer's disease. • Ab-TP-MDNPs increased glucose utilization of the brains of Alzheimer's disease. • Ab-TP-MDNPs improved mitochondrial activity and ATP availability. • Ab-TP-MDNPs promoted neuronal synaptic funtion. • Ab-TP-MDNPs treatment maintained safety after long-term administration.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".