Posaconazole nanocrystals dry powder inhalers for the local treatment of invasive pulmonary aspergillosis
Bibliographic record
Abstract
• Posaconazole dry powder inhalers (DPIs) for pulmonary delivery mitigated adverse effects related to systemic administration. • Posaconazole nanocrystal-agglomerated particles in DPIs exhibited improved solubility and dissolution. • Optimized posaconazole DPIs demonstrated high pulmonary deposition and superior relative bioavailability in the lungs. • High drug loading in posaconazole DPIs reduced excipient use and the total amount of inhalable powder needed. Invasive pulmonary aspergillosis poses a significant threat to immunocompromised patients, characterized by high mortality rates. Posaconazole (PSZ), a second-generation triazole antifungal, exhibits broad-spectrum activity but suffers from limited pulmonary concentrations and notable systemic side effects when administered orally or intravenously. This study focuses on optimizing PSZ nanocrystals-agglomerated particles for dry powder inhalers (DPIs) to enhance solubility, dissolution rates, and pulmonary deposition, ultimately improving therapeutic efficacy while minimizing systemic adverse effects. We employed wet medium milling and spray-drying techniques to formulate PSZ nanocrystals-agglomerated DPIs. Various stabilizers including HPMC, HPC, Soluplus, and PVPK30, were systematically evaluated to optimize physicochemical properties. Aerosolization performance was assessed using the Next Generation Impactor, while antifungal efficacy was evaluated through in vitro and in vivo studies. The optimized PSZ DPIs demonstrated significant enhancements in solubility and dissolution rates, with a fine particle fraction (FPF) of 78.58 ± 3.21%, ensuring optimal lung delivery. In vitro experiments revealed potent effects with minimal cytotoxicity to lung cells. In vivo studies indicated that the optimized formulation achieved a C max /AUC 0→∞ ratio in lung tissues that was 27.32 and 6.76-fold higher than that of the oral suspension, highlighting increased local drug concentrations. This approach presents a scalable, cost-effective strategy for the pulmonary delivery of PSZ, ensuring high drug loading and promising clinical outcomes in treating pulmonary fungal infections.
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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 | 0.000 | 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 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".