Safety and pharmacokinetic studies of liposomal antioxidant formulations containing N-acetylcysteine,<b>α</b>-tocopherol or<b>γ</b>-tocopherol in beagle dogs
Bibliographic record
Abstract
The safety and pharmacokinetic profile of liposomal formulations containing combinations of the antioxidants α-tocopherol, γ-tocopherol or N-acetylcysteine in beagle dogs was examined. Each group consisted of beagle dogs of both genders with a control group receiving empty dipalmitoylphosphatidylcholine (DPPC) liposomes (330 mg/kg DPPC, EL), and test groups receiving liposomes prepared from DPPC lipids with (i) N-acetylcysteine (NAC) (60 mg/kg NAC [L-NAC]); (ii) NAC and α-tocopherol (αT) (60 mg/kg NAC and 25 mg/kg α-tocopherol [L-αT-NAC]) and (iii) NAC and γ-tocopherol (60 mg/kg NAC and 25 mg/kg γ-tocopherol (γT) [L-γT-NAC]). The dogs in the control group (EL) and three test groups exhibited no signs of toxicity during the dosing period or day 15 post treatment. Weight gain, feed consumption and clinical pathology findings (hematology, coagulation, clinical chemistry, urinalysis) were unremarkable in all dogs and in all groups. Results from the pharmacokinetic study revealed that the inclusion of tocopherols in the liposomal formulation significantly increased the area under the curve (AUC) and β-half life for NAC; the tocopherols had greater impact on the clearance of NAC, where reductions of central compartment clearance (CL) ranged from 56% to 60% and reductions of tissue clearance (CL2) ranged from 73% to 77%. In conclusion, there was no treatment-related toxicity in dogs at the maximum feasible dose level by a single bolus intravenous administration while the addition of tocopherols to the liposomal formulation prolonged the circulation of NAC in plasma largely due to a decreased clearance of NAC.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".