Intravenous Nanoemulsions Loaded with Phospholipid Complex of a Novel Pyrazoloquinolinone Ligand for Enhanced Brain Delivery
Bibliographic record
Abstract
Background/Objectives: The novel pyrazoloquinolinone ligand CW-02-79 shows a unique profile of selective binding to σ2 receptors, but its poor solubility in both water and lipids makes its research and development a burdensome task. We aimed to develop a phospholipid-complex-based nanoemulsion formulation containing CW-02-79 suitable for intravenous administration in preclinical research. Methods: The decorated and undecorated nanoemulsions were formulated and subjected to detailed physiochemical characterization. The delivery and exposure to CW-02-79 from selected nanoemulsions were examined in the in vitro blood–brain barrier model based on human-induced pluripotent stem-cell-derived microvascular endothelial cells, astrocytes, and pericytes, and in vivo neuropharmacokinetic study in rats, respectively. Results: The developed biocompatible nanoemulsions loaded with a CW-02-79—phospholipid complex at a mass ratio of 1:10 exhibited a small droplet size and narrow size distribution, with satisfactory physicochemical stability during steam sterilization and short-term storage at 25 °C. The analysis of protein binding interactions revealed that the PEGylated nanoemulsions had fewer observable interactions compared to the undecorated nanoemulsions, especially when 0.2% DSPE-PEG2000 and 0.1% DSPE-PEG2000-mannose were combined. An in vitro BBB study demonstrated that a substantial part of CW-02-79 present in the applied nanoemulsion is able to permeate the barrier. The quantification of CW-02-79 in plasma/brain homogenate and calculated pharmacokinetic parameters confirmed good systemic and brain availability after intravenous administration. There were subtle differences in the pharmacokinetic parameters in favor of a dual surface-functionalized nanoemulson containing the glucose transporter-1-targeting ligand (mannose). Conclusions: The developed and characterized nanoemulsions enable substantial brain exposure to CW-02-79 as a prerequisite for a pharmacologically and clinically relevant selective modulation of σ2 receptors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.000 | 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 source (direct Gemma or distilled Codex), 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".