A Novel Brain Penetrable Nanocarrier Delivers Brain‐Derived Neurotrophic Factor to Treat Alzheimer's Disease
Bibliographic record
Abstract
Alzheimer's disease (AD) affects over 50 million people worldwide and is the sixth leading cause of death in North America with no cure and limited disease-modifying therapies. Brain-derived neurotrophic factor (BDNF) is a potential therapeutic agent, as it promotes the survival and synaptic plasticity of glutamatergic and GABAergic neurons in brain regions associated with cognitive and emotive decline in AD, and mice lacking BDNF exhibits hippocampal long-term potentiation (LTP) impairment, reversible with recombinant BDNF. However, the poor blood-brain barrier (BBB) permeability and pharmacokinetic properties of BDNF limit its clinical use. To address these limitations, a BDNF nanocarrier system is designed using a novel BBB-permeable terpolymer (TP). This terpolymer-based nanoparticle system (BDNF-TPN) with optimized physiochemical properties protects BDNF in circulation and enables sufficient neuronal delivery of BDNF and neuron survival following Aβ exposure in vitro. The biodistribution and safety of BDNF-TPN are evaluated via imaging, enzyme-linked immunosorbent assay, hematologic, clinical biochemical, immunotoxicity, and histology tests. Biomarker studies demonstrate BDNF-mediated neuroprotective signaling in an APP transgenic mouse model following intravenous injection of BDNF-TPN with reduced apoptosis and neuron inflammation and increased neuronal survival and synaptic plasticity. Improved hippocampal-dependent contextual learning in APP transgenic Alzheimer's mice is observed as determined by fear-conditioning assay following two months of weekly treatments.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".