Influence of Drug-to-Lipid Ratio on Drug Release Properties and Liposome Integrity in Liposomal Doxorubicin Formulations
Bibliographic record
Abstract
Recent studies have shown that the release properties of vincristine encapsulated in large unilamellar vesicles (LUV) can be regulated by varying the drug-to-lipid (D/L) ratio. In this work it is shown that the drug-to-lipid ratio technique for regulating drug release also applies to doxorubicin encapsulated in LUV. In particular it is shown that the half-times (T(1/2)) for doxorubicin release from distearoylphosphatidylcholine (DSPC)/cholesterol LUV in vitro can be increased more than six-fold by increasing the D/L ratio from 0.05 (wt/wt) to 0.39 (wt/wt). This behavior is consistent with the behavior expected for drugs that precipitate following accumulation into liposomes. It is shown that the release properties of ciprofloxacin--a drug that does not precipitate following accumulation into LUV--are not affected by the D/L ratio. It is also shown that the crystalline intravesicular doxorubicin precipitates observed as the D/L ratio is raised from 0.05 to 0.46 adopt increasingly unusual morphologies. Linear crystals are observed at lower D/L values, however triangular and rectangular variations are observed as the D/L ratio is increased, and induce considerable distortion in vesicle morphology. It is noted that trapping efficiency following uptake of external doxorubicin into LUV is reduced from nearly 100% at a D/L ratio of 0.05 (wt/wt) to less than 70% at an (initial) D/L ratio of 0.8 (wt/wt). It is suggested that this arises, at least in part, from membrane-disrupting effects of internal drug crystals as they increase in size.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".