Development of liposomal polyene antibiotics: an historical perspective.
Bibliographic record
Abstract
PURPOSE: The purpose of this review article is to review the development of a number of liposomal polyene antibiotics. BACKGROUND: In the past thirty years, the increase in life-threatening pre-systemic and systemic fungal infections within cancer, diabetic and AIDS patients have reached alarming proportions. A number of antifungal agents have been developed to combat this problem. In particular, polyene antibiotics such as Amphotericin B (AmB) and Nystatin (Nys) have remained the most effective and widely used agents in the treatment of these infections. However, their administration is limited by dose-dependent toxicities. One such dose-limiting toxicity is renal toxicity. Polyene antibiotic-induced renal toxicity is believed to be mediated by the drug anchoring to cholesterol within the mammalian cell membrane, resulting in pore formation, abnormal electrolyte flux, decrease in adenosine triphosphate (ATP), and eventually a loss of cell viability. CONCLUSION: In the 1980s and 90s a number of promising lipid-based AmB and Nys formulations were developed to overcome these toxicities. This article will review the development of these liposomal polyene antibiotics.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".