Polycaprolactone – Vitamin E TPGS micelles for delivery of paclitaxel: In vitro and in vivo evaluation
Bibliographic record
Abstract
This study aimed to present findings on a paclitaxel (PTX)-loaded polymeric micellar formulation based on polycaprolactone-vitamin E TPGS (PCL-TPGS) and evaluate its in vitro anticancer activity as well as its in vivo pharmacokinetic profile in healthy mice in comparison to a marketed formulation. Micelles were prepared by a co-solvent evaporation method. The micelle's average diameter and polydispersity were determined using dynamic light scattering (DLS) technique. Drug encapsulation efficiency was assessed using an HPLC assay. The in vitro cytotoxicity was performed on human breast cancer cells (MCF-7 and MDA-MB-231) using MTT assay. The in vivo pharmacokinetic profile was characterized following a single intravenous dose of 4 mg/kg to healthy mice. The mean diameters of the prepared micelles were ≤ 100 nm. Moreover, these micelles increased the aqueous solubility of PTX from ∼0.3 μg/mL to reach nearly 1 mg/mL. While the PTX-loaded micelles showed an in vitro cytotoxicity comparable to the marketed formulation (Ebetaxel), drug-free PCL-TPGS micelles did not show any cytotoxic effects on both types of breast cancer cells (∼100% viability). Pharmacokinetics of PTX as part of PCL-TPGS showed a significant increase in its volume of distribution compared to PTX conventional formulation, Ebetaxel, which is in line with what was reported for clinical nano formulations of PTX, i.e., Abraxane, Genexol-PM, or Apealea. The findings of our studies indicate a significant potential for PCL-TPGS micelles to act as an effective system for solubilization and delivery of PTX.
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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 | 0.002 | 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 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".