Pharmacokinetics and Metabolism of Sirolimus
Bibliographic record
Abstract
Sirolimus (rapamycin, Rapamune) is a potent immunosuppressive drug that received marketing approval from the US Food and Drug Administration on September 15, 1999. Research into defining its pharmacokinetic (PK) behavior, interaction with other agents, and metabolism is ongoing. It has been established that oral doses of both liquid and solid formulation are rapidly, though incompletely and variably, absorbed. Metabolism by the intestinal and hepatic CYP3A family of enzymes likely contributes to variability in absorption and low bioavailability. Sirolimus has a long terminal half-life, the AUC correlates well with trough and peak concentrations, and it exhibits a moderate degree of dose proportionality. There is significant interpatient variability in PK parameters of sirolimus, though it exhibits predictable PK behavior when used with prednisone and cyclosporine neoral. There is a decreased rejection risk with higher doses and target level attainment. Several species of sirolimus metabolites have been characterized, and are measurable in whole blood and tissue specimens. Many more species of sirolimus metabolites are detectable, but they are not quantifiable at this time. The total concentration of metabolites appears to be less than that of the parent drug when examined through the PK profile. A reference method for the quantitation of metabolites remains elusive because of a lack of proper standardization. The clinical significance of sirolimus metabolites remains to be proven.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".