Mannosylated glycoliposomes for the delivery of a peptide kappa opioid receptor antagonist to the brain
Bibliographic record
Abstract
Dynantin is a potent and selective synthetic polypeptide kappa opioid receptor antagonist which has potential antidepressant and anxiolytic-like therapeutic applications, however its clinical development has been hampered by plasma stability issues and poor penetration of the blood brain barrier. Targeted liposome delivery systems represent a promising and non-invasive approach to improving the delivery of therapeutic agents across the blood brain barrier. As part of our work focused on targeted drug delivery, we have developed a novel mannosylated liposome system. Herein, we investigate these glycoliposomes for the targeted delivery of dynantin to the central nervous system. Cholesterol was tested and optimized as a formulation excipient, where it improved particle stability as measured via particle size, entrapment and ex vivo plasma stability of dynantin. The in vitro PRESTO-TANGO assay system was used to confirm that glycoliposomal entrapment did not impact the affinity or activity of the peptide at its receptor. Finally, in vivo distribution studies in mice showed that the mannosylated glycoliposomes significantly improved delivery of dynantin to the brain. Overall, the results clearly demonstrate the potential of our glycoliposomes as a targeted delivery system for therapeutic agents of the central nervous system.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".